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Security token offerings (STOs), based on blockchain technology, are attracting increasing attention as an innovative alternative means of venture financing. Information about specific STOs is generally provided in white papers. This study analyses the content of white papers using a unique sample of 188 STOs from 2017 to 2021 to identify which topic is related to campaign success. We leverage latent Dirichlet allocation (LDA) topic modelling to identify the topics and themes in white papers. Nine topics are identified through LDA: company description, distributed ledger technology components, energy and green issues, financial and legal issues, artificial intelligence, and tech applications in different industries—specifically, healthcare, manufacturing and construction, education, and financial services. We find that energy and green issues represent one of the most prominent topics among all types of projects and that their disclosure is positively related to the probability of campaign success and the amount of funding raised. Another prominent topic that affects campaign outcomes is technology in the healthcare industry, reflecting wider investment trends in this sector. Our results may help entrepreneurs to improve their campaign disclosures and present new issues for policymakers regarding investments in digital tokens. • An integrated framework of STOs success is proposed by combining topic modelling with other campaigns' indicators. • Company's energy consumption and green impact is one of the most dealt topics among all types of projects. • The technological components in the healthcare field is a topic related to the campaign success • Energy consumption and green issues must be adequately disclosed to affect campaign success. [ABSTRACT FROM AUTHOR]

The development and diffusion of digital technologies are transforming industries, including the agrifood sector, which is experiencing significant changes driven by the "Digital Agriculture" era. This paper explores the intersection of digital transformation and sustainability in agribusiness, examining how digital technologies impact organizational economics, social and environmental issues. The new competitive environment created by digital transformation necessitates strategic revitalization, collaborative engagements, and the cultivation of new skills and competencies. Despite the potential of digitalization to foster efficiency and sustainability, its relationship with sustainability initiatives requires further investigation. We discuss the cognitive processes influencing digital technology adoption and their implications for sustainability, proposing a 2 × 2 matrix framework to categorize different levels of technology integration and sustainability outcomes. Contributions to this discussion are positioned within this matrix, providing comprehensive insights into their practical and theoretical implications. The paper concludes with a research agenda for future studies, emphasizing the need for interdisciplinary approaches to deepen the understanding of the nexus between digital transformation and sustainability in agribusiness. [ABSTRACT FROM AUTHOR]

This paper aims to study the effects (benefits) of digitalization on management control systems and explore the factors affecting the relationship between digitalization and management control systems in small and medium enterprises (SMEs). The study is based on a survey administered to a sample of 132 Italian companies, mainly comprising small and medium enterprises. The findings provide evidence of the significant benefits of digitalization related to company performance improvements and internal and external communication. Furthermore, results reveal that top management, human resources, and financial resources are the main drivers leading to digitalization. Finally, medium-sized companies are found to be more active in digital transformation. The paper addresses the critical point that training people in digitalization, especially in SMEs, is key to getting a more mature Management Control System (MCS) and reaching a higher level of performance. Secondly, widespread digitalization in many company processes is a critical success factor. The originality of the current research lies in the focus on investigating the relationship between digitalization and management control systems in Italian SMEs. Finally, the research sheds light on the drivers and barriers that can lead to or impair improvement in the maturity level of management control systems. • This research examines the benefits of digitalization on management control systems and the factors that affect them in small and medium firms. • A survey of 132 Italian small and medium enterprises was used for the study. The data show that digitalization improves company performance and internal and external communication. • The research sheds light on the drivers and barriers that can lead to or impair improvement in the maturity level of management control systems. • The current research investigates the relationship between digitization and management control systems in Italian SMEs, which is novel. [ABSTRACT FROM AUTHOR]

The number of patients with diabetes continues to grow, and the expense of treating diabetes is enormous. Therefore, predicting medical expenses for diabetes has become a priority in many countries. This paper proposes a new hybrid FSRF model to predict medical expenses. Firstly, in response to the problem of multiple features in medical data, we use a random forest (RF) feature extraction algorithm for feature extraction. Secondly, for complex medical concepts, we develop an improved multi-granularity embedding model for encoding medical concepts. Next, we establish the FA-SSA by optimizing the sparrow search algorithm (SSA) using the firefly algorithm (FA). Then, we employ the FA-SSA algorithm to optimize the parameters of the RF model with multi-granularity medical concept embedding. Finally, we build an improved FSRF model and conduct a case study on a medical dataset in Pingjiang County. This paper performs ablation experiments and four sets of comparative experiments, and the experimental results show the superiority of the FSRF model. • The RF algorithm is introduced to address the problem of massive redundancy in medical features. • A multi-granularity medical concept embedding model is developed for medical concept coding. • An FA-SSA parameter optimization algorithm is proposed. • An improved FSRF model is proposed for medical cost prediction studies. • Validate the model using medical data from Pingjiang County. [ABSTRACT FROM AUTHOR]

This paper aims to present a comprehensive review and analysis to demonstrate the main papers, journals, authors, and trends significantly contributing to the scientific output in predicting the traffic incident duration using statistical and ML-based methods. We analyze new methods as well as data resources and characteristics such as incident time phases, data types, incident types, duration time distribution, available data resources, significant influencing factors, and unobserved heterogeneity and randomness. Also, this paper used the VOSviewer® software to conduct a visualization study of knowledge mapping on the literature of predicting traffic incident duration from 2010 to 2022 based on various databases. The contributions of this paper are three-fold. First, this paper undertakes a comprehensive comparison of previous studies in this field. Second, this paper identifies the key conceptual characteristics of analysis and prediction. Third, this paper explores the expected future trends in predicting the traffic incident duration. Furthermore, a key finding from this paper is that the usage of crowdsourcing, social media, and textual data is rare. Considering that future prediction methods of traffic incident duration will likely be utilized in all subfields related to traffic congestion, focusing on a review that summarizes such studies is a timely topic. • A comprehensive review of traffic incident duration prediction • Key papers, journals, authors, methods, and trends from 2010 to 2022 analyzed • Machine learning and HBDM are the most commonly used methods. • Rarely usage of crowdsourcing, social media, and textual data is revealed. • Potential challenges and future research on this topic indicated [ABSTRACT FROM AUTHOR]

The rapid emergence of digital technologies has considerably changed the environment for firms' survival and development, reshaping the way they operate and gain competitiveness in the market. The influence of digitalization on firms has emerged as a critical research topic. Nevertheless, studies on the relationship between digitalization and firms' performance remain scarce. Based on a European sample of 149,645 SMEs operating in the low-tech industries, this paper examines the impact of the country's digital performance (measured by the Digital Economy and Society Index - DESI) on the financial performance of low-tech SMEs and the existence of sector-specific differences over the period 2016–2020. Results reveal that the state of digitalization of the economy and society might significantly affect SMEs' financial performance. Indeed, the higher a country's overall digital performance, the better the financial performance of the SMEs that operate there. Additionally, the paper shows that digitalization positively impacts the performance of SMEs in the agriculture, construction, and wood and leather industry. By contrast, digitalization has a negative impact on the performance of SMEs operating in the publishing and printing industry, as well as in the textile and clothing industry. This study provides several implications for government investment policies and SMEs. • Firms' performance may be influenced by a digitally enabled external context. • Digitization at the national level can enhance the financial performance of SMEs in low tech-industry. • Agriculture, construction, wood, and leather industries benefit from the country's digital level. [ABSTRACT FROM AUTHOR]

While digital interventions in urban public spaces have been widely discussed in recent years in terms of their playability and their engaging design features, however, research on different types of playable digital interventions in urban public spaces from the perspective of urban design is relatively limited. This paper examines current precedents of playable digital intervention to develop a typological classification of open-ended Playable Digital Interventions in Public Space (PDIPS). With a focus on the applicability of playable digital elements to urban design, this paper collects relevant PDIPS representative precedents through association words online searching, then classifies the precedents by common feature extraction, and finally performs secondary analysis on the types to derive corresponding subtypes according to related theories. This paper identifies 5 main types and 11 sub-types of PDIPS typology, which are thematically organized by space composition, spatial perception, interactive mechanism, technology application, and implementation direction. The discussion on the applicability of playable digital elements to urban design in this paper provides insights into how such interventions can enhance public spaces and improve the urban experience for people. It also explores the potential and possibility of embedding such interventions in future urban design, offering guidance to urban designers. • Identified 5 types and 11 subtypes of PDIPS using secondary analysis • 5 PDIPS types identified by different spatial interaction characteristics • 11 subtypes identified by segmentation rules of 5 themes • Provides a two-way understanding between PDIPS scenarios and constituent elements [ABSTRACT FROM AUTHOR]

The prime objective of this study is to analyze the spatio-temporal evolution of the relationship between digital economy and green innovation in China. Based on the panel data of 26 cities in the Yangtze River Delta (YRD) urban agglomeration from 2012 to 2019, this paper measures the digital economy and green innovation in each city of the YRD urban agglomeration using the entropy weight model and the projection tracking model, analyzes the characteristics of the spatio-temporal evolution, and explores the impact of the digital economy on green innovation and the spatial spillover effect. The results show that in the spatial dimension, there is a significant spatial correlation between digital economy and green innovation in each city, and the regional heterogeneity of digital economy is higher than that of the west in the east, and the regional heterogeneity of green innovation is high and high agglomeration in the east of the city cluster, and high and low agglomeration in the west of the city cluster; there is a trend of incremental increase of the level of digital economy and green innovation in the temporal dimension, and the regional imbalance of the development of green innovation among cities is decreasing. The regional imbalance in the development of green innovation between cities is narrowing, and it tends to be more towards the synergistic development of a unified big market; the spatial measurement model shows that the digital economy not only has a significant impact on the level of green innovation in its own region, but also has a positive spatial spillover effect on the neighboring regions. The research in this paper helps to clarify the connection between digital economy and green innovation among regions, and provides decision-making reference for building a modernized innovation system and efficiently promoting the construction of beautiful China in the new period. • Spatial and Temporal Evolution of Digital Economy and Green Innovation. • 26 cities in the Yangtze River Delta city cluster from 2012 to 2020. • Entropy power model and projection tracing models are used. • The influence of the digital economy on green innovation in Chinese cities is very significant. • Sustainability based implications are discussed and suggested. [ABSTRACT FROM AUTHOR]

Most banking institutions are inadequately prepared for the ongoing integration of technology, including the digitalization of financial services, the advent of the Metaverse, and the emergence of Web 3.0. While other sectors are making strides in navigating virtual environments, financial institutions appear to be trailing. Concurrently, the nascent ecosystem of the Metaverse presents promising opportunities for businesses and industries, potentially revolutionizing economic models, governance frameworks, and ethical paradigms. This study aims to contribute to the emerging discourse on the provision of financial services within the Metaverse. The paper envisages virtual reality's future financial services landscape using a scenario-based technological foresight approach. This research is the first attempt to map the comprehensive landscape of financial services in the Metaverse, both in the present context and the foreseeable future. The paper delineates the economy of the Metaverse, its key sectors, and its enablers. It overviews the initial experiences with virtual financial services and proposes potential prospects for financial institutions operating within the Metaverse. This study, therefore, serves as a foundational reference for understanding the evolving dynamics of financial services in the virtual realm. • The study analyzes of the Metaverse economic and financial landscapes. • The study defines key features of meta-economy. • The study explores financial institutions' pioneering efforts in virtual reality. • The study offers technological foresight for financial services perspectives in the Metaverse. [ABSTRACT FROM AUTHOR]

This paper systematically reviews the literature on sociotechnical multi-system innovation frameworks that broaden the usual focus on one sociotechnical system to encompass influences from multiple systems. The review includes 75 peer-reviewed papers that span a broad range of energy-demanding systems and mainly build upon the core frameworks of the Multi-level Perspective (MLP) and Technological Innovation Systems (TIS). The analysis identifies three key aspects to consider in multi-system frameworks. The first aspect is the importance of considering the overarching directionality of multiple sociotechnical systems and how they influence each other. The second is to explicitly analyse the phase of each transitioning system. The third aspect is a need for explicit system configuration analysis. This includes analysing the value chain and the number and types of sectors linked to it, typifying the distinct characteristics of sectors internally and how they interact, and analysing complementary or competitive technologies. The paper concludes by providing recommendations for future research, with a particular focus on the further development of new multi-system frameworks that include one or more of the prior-mentioned three key takeaways. Firstly, focusing on dynamics within multi-system niches. Secondly, performing actor-level analysis, including demand-side analysis. Finally, applying quantitative methods, such as computer simulation modelling. • The systematic review of 75 multi-system transition studies presents three key takeaways. • Considering system interactions in macro-level transition pathways is necessary. • It is important to consider the overarching directionality of multiple sociotechnical systems. • The phase in which each system in transition is should be considered. • System configuration analysis, including value chains and their interactions, is key. [ABSTRACT FROM AUTHOR]

This conceptual paper challenges the notion that the enhanced data security of blockchain results in superior privacy. Blockchain's fundamental characteristics - immutability, decentralization, and transparency - promote an excessive reliance on historical data. This reliance, in turn, leads to inaccurate predictions and misguides consumer privacy preferences. The paper contends that this stern protection conflicts with the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). We argue that the lack of choice in managing data denies freedom, causing psychological reactance. Additionally, the dependence on past data contributes to an intensified privacy paradox as consumers need to assert accurate privacy preferences. These combined effects result in increased consumer digital vulnerability, which arises from an imbalanced power dynamic in data management. We propose a novel approach, which we call "modified blockchain". The approach is based on three pillars: i) selective immutability, ii) federal decentralization, and iii) supervised transparency. These pillars aim to effectively integrate regulations, organizations, and end-users within advocating for a socio-technical decision-making approach. This work also broadens the scope of the psychological reactance theory and the privacy paradox literature by affirming that a lack of autonomy in data management leads to digital vulnerability. • Blockchain technology creates intricate privacy issues despite the prevailing standards on data security. • Blockchain necessitates to adopt a customer-centric "outside-in" approach. • We propose modified blockchain as a paradigm shift from the current blockchain technology. • The modified blockchain framework builds on psychological reactance and privacy paradox theories. [ABSTRACT FROM AUTHOR]

Getting out of the dilemma of incompatibility between efficiency and equity is an important goal of local government to modernize their environmental governance. Based on the theory of public value management, this paper constructs an analytical framework for digital technology enabled government environmental governance under the perspectives of efficiency, equity and coupling of the two, then empirically examines the impact and mechanism. The results show that digital technology can enhance efficiency and equity of local government environmental governance. Meanwhile, digital technology is an effective way to solve conflict between efficiency and equity values, but its green effect may be weakened in the short term due to uncertainty risks of internet. Education can strengthen green effect of digital technology, and digital dividend is especially beneficial when years of education has reached a certain threshold. In addition, there are heterogeneity and spatial correlation in digital technology to improve local government environmental governance. Finally, the results of mechanism test show that digital technology realizes enabling effect through three paths: industrial structure optimization effect, social public participation effect and innovation and entrepreneurship effect. The findings of this paper enrich research literatures on government environmental governance empowered by digital technology, and also provide useful references for formulation and implementation of government environmental policies under the new development pattern. • Explore the contradiction between "efficiency" and "equity" in local governments' environmental governance. • Digital technology is an effective way to overcome the dilemma of "efficiency" and "equity". • Education has a positive moderating effect on digital technology empowering local government environmental governance. • Education has dual threshold effect on digital technology empowering local government environmental governance. • Industrial structural upgrading, public participation, incentives for innovation and entrepreneurship are mechanisms. [ABSTRACT FROM AUTHOR]

At present, the global division of labor system has entered a period of accelerated reconstruction. How to use the new generation of digital technology to achieve high-quality development of China's export trade has become the key to promoting the new development pattern of dual circulation at home and abroad. Based on the export technical complexity of 30 provinces in China from 2012 to 2020, this paper uses entropy weight TOPSIS to measure the development level of provincial digital economy, and deeply analyzes the impact and internal mechanism of digital economy on China's export technical complexity. The study found that the digital economy has significantly promoted the upgrading of China's export technology, and this improvement effect is most obvious in the eastern region. But the export quality of the western region has a negative inhibitory effect. From the perspective of the impact mechanism, the digital economy can achieve export technology upgrading by promoting knowledge spillover and accelerating the marketization process. From the perspective of industrial transformation and upgrading, the development of the digital economy accelerates the technological upgrading of export products through the upgrading of industrial structure, but it has no obvious impact on the rationalization of industrial structure. Further tests show that the effect of digital economy on the upgrading of export product quality is more prominent in low-tech industries. The conclusions of this paper provide data support and analysis perspective for exploring the innovative development of trade led by digital economy and enhancing the international competitiveness of China's foreign trade. It provides new ideas for improving the quality of China's high-quality external circulation development under the background of digital economy, and provides policy reference for the organic combination of digital economy development strategy and foreign power strategy. • This study examines how digital economy accelerates China's export technology upgrading. • We measure the digital economy indexes and export technical complexity (EXPY) in China. • The digital economy positively affects EXPY through two dimensions: "knowledge spillover" and "marketization process". • The effect of the digital economy on export technical complexity is heterogeneous. [ABSTRACT FROM AUTHOR]

Our paper explores how IT security issues affect the implementation of Industry 4.0 in small and medium-sized enterprises (SMEs) in the manufacturing sector. To develop this research question, we carry out an empirical study, with a survey of 3184 manufacturing SMEs, using the "Flash Eurobarometer No. 486" database from Eurostat (European Union). Using machine-learning methodology (ML), our contribution extends previous literature on the barriers to the digital transformation of SMEs, showing the role that IT security issues play in this process. Firstly, our findings indicate a positive association between IT security issues and the process of digitalisation within companies. These IT security challenges are perceived as catalysts for digital transformation, particularly in the context of SMEs. Secondly, our research reveals a significant degree of heterogeneity in the levels of digitalisation across companies. This spectrum ranges from firms at the forefront of digital technology integration, incorporating advanced elements like robotics, cloud computing, and smart devices, to another group of companies in the early stages of adopting Industry 4.0 technologies. Lastly, our study underscores the existence of a parallel relationship between IT security issues and the extent of digitalisation within SMEs. This connection highlights the intricate interplay between cybersecurity concerns and the level of digital maturity achieved by these businesses. • IT security issues affect the implementation of Industry 4.0 in SMEs. • We carry out an empirical study with a survey of 3184 SMEs. • The results show that IT security issues positively affect the digitalization of companies. • The paper contributes that exist a parallelism between the degree of digitization and IT security. [ABSTRACT FROM AUTHOR]

Despite emerging business trends reshaping the business strategies through disruptive digitalization technologies, there is a notable lack of research evaluating the customer's experience and quality attributes in Smart Product-Service Systems (SPSS) and their connection with the Internet of Things (IoT) technologies. To address these challenges, this paper proposes and tests through six application cases, and eight use cases a novel methodology supporting firms to (i) assess the impact of IoT technologies on the perceived quality of SPSSs and (ii) assess the intensity of customer engagement through the IoT in the SPSS lifecycle to enhance the perceived quality of customers and stakeholders. A mixed-methods approach was used as the research design of the study. Overall, our findings show that the methodology supports SPSS scholars and practitioners in enhancing customer experience, prioritizing investments in adopting cutting-edge technologies, identifying the main quality determinants affected by the IoT in SPSS business and the critical technical factors related to the perceived quality of customers. The study bridges the current knowledge gap between quality determinants and emerging IoT technologies in SPSS business, proposing a methodology to assess the perceived quality determinants in SPSS enabled by IoT technologies. • We examine the impact of IoT on the quality of Smart Product-Service Systems (SPSS). • The understanding of the intensity of customer engagement through IoT was enhanced. • Scholars and practitioners can improve customer experience and prioritize technological investments. • The methodology proposed advances the understanding of the role of IoT in SPSS and business. • The paper bridges theory and practice on quality and customer engagement in SPSS using IoT. [ABSTRACT FROM AUTHOR]

This paper presents a systematic literature review of the research field on big data analytics capabilities (BDACs). With the emergence of big data and digital transformation, a growing number of researchers have highlighted the need for organizations to develop BDACs. Despite valuable efforts to examine determinants and contributions to performance measures, the research field on BDACs remains relatively unexplored. The review reveals a patchwork of studies lacking a theoretical and conceptual foundation and questions arise regarding the reliability and validity of predominantly survey-based empirical studies. Drawing on findings from related capability concepts, this paper suggests the use of clearer definitions and items and a greater variety of methods to facilitate further exploration of BDACs. Finally, future research areas and implications are outlined. • Systematic literature review of the research on big data analytics capabilities • Organizing framework for the prime components of big data analytics capabilities • Overview of the main components of big data analytics capabilities • Differences between big data analytics and other organizational capabilities [ABSTRACT FROM AUTHOR]

This paper addresses the study of digitalisation dynamics in SMEs. Improving on existing research and its methodological limitations, we provide an understanding of the digital transformation in SMEs by approaching the research from a non-linear and complex perspective. We empirically test our hypotheses using the Eurostat Flash Eurobarometer No. 486 data set, with a final sample of 16,365 SMEs. Our first contribution shows that an adequate understanding of digital transformation not only implies the identification of drivers of digitalisation but also a grasp of how these drivers act, highlighting the differential effect that internal capabilities and external support of the company in interaction have on digital transformation. Moreover, the results show that the effect of interactions between variables is transferred to the output variable in a non-linear process, which may contain an optimum produced by a differential combination of input variables. Second, the paper extends the research methodology, emphasising the importance of combining classic regression analysis with machine-learning techniques. Thus, using a systemic approach, we conclude that the combination of the explanatory power of regression models and machine learning allows us to quantify and explain how variables act, solving complex and non-linear problems. • SMEs' digitalization requires the understanding of drivers and how they interact. • Regression analysis together with ML helps solving complex and non-linear problems. • System dynamics allow for an adequate modelling of digitalization in SMEs. • Digitalization of SMEs is fundamentally based on the firm's internal capabilities. • Firms' external resources have a residual character in the digitalization process. [ABSTRACT FROM AUTHOR]

Tourism is characterized by environmental sensitivity, and ecological impacts such as natural disasters have a profound impact on the vulnerability of tourism systems. Exploring the impact mechanisms and resilience of tourism systems provides new research perspectives on their ability to withstand vulnerability and promote sustainable development. This paper uses panel data from 2006 to 2021 as the research sample, and the resilience index for the tourism sector is constructed based on the DPSIR theory, using the entropy right TOPSIS method. The fixed effects model verifies the effect on tourism system resilience, while the mediation effect is tested through a mediation model. The research results show that: (1) the composite index of tourism system resilience in 31 provinces is on the rise, and the spatial distribution of ecological impact types in China is distinct due to geological variations, the temperature zone between the north and south, and the terrain between the east and west; (2) ecological impacts significantly and positively influence tourism system resilience, as established after various robustness tests; (3) there is some intermediary effect between ecological impacts and tourism system resilience; (4) ecological impact varies across different economic cycles. • Ecological impact significantly promotes tourism system resilience. • There is some intermediary effect between ecological impacts and tourism system resilience. • The impact of natural disasters on tourism resilience is various in terms of time and place. • Ecological impact varies across different economic cycles. [ABSTRACT FROM AUTHOR]

The acceptance of new technologies by elderly individuals has been long debated in literature, showing barriers in their adoption. However, recent technology features such as gamification have been promising a great deal of impact on their intention to use new technology-based solutions. Particularly in the healthcare sector, gamification has been suggested to increase elderly individuals' intention to use digital therapeutics. However, in the attempt to incentivize the adoption of these new technological innovations, the importance of socialization has been advanced as a further reinforcement mechanism by improving the social interactions of elderly patients thanks to the connections with young or expert people. In this paper, we aim to investigate whether the use of gamification affects elderly patients' intention to use new digital therapeutics (DTx) trying to shed lights on the importance of socialization as a winning strategy to boost their adoption. Through an explorative research design, we conducted a study among a selected group of 168 elderly participants. Our findings reveal that these patients' perceived ease of use gamification-based digital therapeutics positively affects their intention to use, via the perceived usefulness of such new technological features. More importantly, we find that this effect increases in magnitude as elderly patients' socialization tendency seeking increases, revealing the importance of socialization-oriented strategies in stimulating elderly's positive reactions to technological tools. This results in a higher willingness to adopt new digital healthcare therapeutics. Implications for both theory and practices emerge from this research. • Digital therapeutics (DTx) may improve elderly active aging. • Gamification-based systems enrich DTx opportunity. • Patients' perceived ease of use gamification-based digital therapeutics positively affects their intention to use. • Patients' socialization tendency increases their higher willingness to adopt DTx. [ABSTRACT FROM AUTHOR]

Digitalization is an essential instrument for enterprises to gain competitive advantages. However, existing studies ignore the essential feature of digitalization as strategic response, which emphasis that digitalization is triggered by combination of internal and external factors. This study innovatively introduces internal performance feedback and external competitor behavior into the antecedent research of firm's digitalization, applying the "Awareness-motivation-capability (AMC) framework" as underlying explanatory mechanism. Using unbalanced panel data from 4033 listed companies in China over 14 years between 2007 and 2021 (a total of 33,928 valid observations), this study reveals that a positive impact occurs when performance gaps are lower than aspiration level on firm digitalization, while the opposite effect is observed for performance gaps higher than aspiration. Furthermore, competition intensity shows a U-shaped relationship with firm digitalization. Industry munificence and organizational slack significantly moderates the impact of internal and external strategic signals on firm's digitalization by influencing the awareness, motivation, and capability mechanisms. Drawing on the limited rationality perspective of firm's decision-making and the integrated model of the AMC framework, the paper provides an explanatory framework for the strategic response mechanism and the heterogeneity of firm digitalization, with insights for relevant digital policy design and firm-level decision-making on digitalization. • Internal and external triggers as antecedents of firm's digitalization. • "Awareness-motivation-capability (AMC) framework" as underlying explanatory mechanism of digitalization. • Provides an theoretical insights and empiriacal evidence of heterogeneity of firm digitalization. • Draws on the limited rationality perspective of firm's decision-making. [ABSTRACT FROM AUTHOR]

This paper examined the determinant factors of digital innovation cycles using the data of 356 listed manufacturing enterprises in China from 2013 to 2021. The digital innovation cycles were measured using Data Envelopment Analysis (DEA). Various influencing factors, including digital technologies, organisations, users, and the environment, were analysed based on the Technology Affordance Theory (TAT). The results indicated that digital innovation efficiency in the Chinese manufacturing industry exhibited a fluctuating development trend and had considerable potential for future development. Digital innovation varied across sub-sectors, and the high-knowledge-intensive industries were subject to the greatest weaknesses. Digital innovation also changed significantly across regions in China. Furthermore, digital strategic orientation, executive education level, digital infrastructure, and regional digitalisation level negatively affected digital innovation. However, customer concentration positively affected digital innovation efficiency. Comprehensive guidance and implications for multiple perspectives are presented to enhance digital innovation by manufacturing enterprises. • Digital innovation links inputs and outputs through enterprise, user, and technology interactions. • DEA model and Tobit model are used. • Digital innovation in China's manufacturing shows fluctuating yet stable trends. • Customer concentration demonstrates a significant positive correlation with digital innovation efficiency. [ABSTRACT FROM AUTHOR]

This paper investigates the long-term butterfly effect of cloud computing on the low-carbon economy against the dual backdrop of the digital age and carbon neutrality. Utilizing a full-sample and sub-sample approach, the study identifies the complex interrelationship between the China Cloud Computing Index (CCI) and the Low Carbon Index (LCI). The quantitative examination reveals how CCI impacts LCI – both favorably and unfavorably. The positive effects suggest that cloud computing serves as a motivator in the environmentally friendly economy. In case of negative impacts, however, it is not possible to always determine the incentive effects owing to the large amounts of energy consumption generated by cloud computing data centers. Meanwhile, the positive influence of LCI on CCI indicates how the pursuit of low carbon-economy (as a goal) will bring opportunities for the explosive growth of the cloud computing industry. Cloud computing has increasingly prompted the fluctuation of carbon emissions in the whole ecosystem. By exploring this butterfly effect, this study digs deeper into the complex interrelationship between the discussed indexes. It is expected that the study outcomes will offer meaningful recommendations for the two main vectors of economic development - greenization and digitalization. • Discover the butterfly effect of cloud computing on the low carbon economy. • Using full-sample and sub-sample methodologies, this study identifies the interrelationships between Cloud Computing Index and Low Carbon Index [ABSTRACT FROM AUTHOR]

Today's digital technologies, such as social media, business analytics, the Internet of Things, big data, advanced manufacturing, 3D printing, cloud and cyber-solutions and MOOCs, permeate every private and public organization. However, even if this phenomenon has been analyzed for entrepreneurship in general, to the best of our knowledge, the impact of digital technologies on academic entrepreneurship remains not only slightly addressed. With the aim of filling this gap, this paper proposes a novel contribution regarding the emerging concept of Digital Academic Entrepreneurship. Based on a qualitative literature review, an interpretative framework for Digital Academic Entrepreneurship is deductively proposed that is composed of the following components: the rationale for the adoption of digital technologies for academic entrepreneurship (why), the emerging forms of digital academic entrepreneurship (what), the stakeholders involved through the digital technologies to achieve the academic entrepreneurship goal (who), and the processes of academic entrepreneurship supported by digital technologies (how). The discussion section provides a conceptualization of Digital Academic Entrepreneurship. The paper closes with the identification of a research agenda for this promising and under-researched field. • Digital Academic Entrepreneurship is the result of the impact of digital technologies on academic entrepreneurship • An interpretative framework for Digital Academic Entrepreneurship is proposed. • New stakeholders are involved in academic entrepreneurship due to digital technologies. • Emerging forms of digital academic entrepreneurship are supported by digital technologies • A research agenda for the digital academic entrepreneurship conceptualization is discussed [ABSTRACT FROM AUTHOR]

The recent years have been dominated by the urgency of mitigating the effects of dramatic emergencies. In the first step the sudden outbreak of Covid19 and next the Ukraine conflict raising have put under stress the stability of worldwide B2B digital platforms sectors. In response to the unpredictable catastrophes the worldwide organizations started to adopt several breakthrough technologies by means of confused response strategies. The literature did not sufficiently address the issue of which could be the most effective ways to relief a crisis picking solutions from the new breakthrough innovations in B2B digital platform systems. The analysis of B2B digital platforms during a crisis is not trivial because of the system complexity. To fill the literature, gap this paper exploits the line of study of crisis theory. Through the lens of analysis of the adaptive management model, the paper aims at creating a theoretical model based on the most impactful breakthrough innovations on B2B digital platforms mechanisms. Related to dual adaptive management approaches, the study creates four different scenarios to simulate through a system dynamic method. The results of the simulation come up with four main mitigation strategy patterns associated with the different levels of crisis perturbation and adaptive approach style. The paper aims at expanding the study on B2B digital platform technological evolution and provides some interesting insights on how to configure an effective crisis mitigation strategy. • The article explores the B2B digital platform technological evolution • The article offers a model based on the most impactful breakthrough innovations in B2B digital platform mechanisms • The simulation led to four main mitigation strategy patterns associated with different levels of crisis [ABSTRACT FROM AUTHOR]

Traditional literature in terms of Open Innovation broadly explored the potential benefits firms might achieve in collaborating with external partners. However, in such a recognized framework, the investigation of the costs firms face remains an underexplored field. Understanding the immediate economic impact of Open Innovation strategies is crucial, especially for SMEs that usually suffer from a structural lack of financial resources. To fill this gap, the present study explores the costs sustained by SMEs in the short run while implementing Open Innovation's strategies. Moreover, in line with the new challenges introduced by new technologies, the study explores how Open Innovation costs vary for digital and non-digital SMEs. In doing so, the study relies on a sample of 377 digital and non-digital European SMEs. In general terms, results show that Open Innovation represents a short-term cost for both types of SMEs. However, in investigating the different Open Innovation challenges addressed by SMEs, findings reveal that especially digital SMEs may limit costs by reducing their external activities and keeping their activity focused on the core business. These findings have implications for both SMEs and scholars, which are expected to lead to further investigations. • The paper explores the costs and challenges associated with engaging in Open Innovation practices in European SMEs. • The study draws upon De Marco et al. (2020) to disentangle the effects of OI dimensions on SMEs' financial performance. • The paper discusses the short-term impact of OI engagement on SMEs' financial performance in a dynamic environment. • The novelty lies in the use of an exclusive dataset and a comparative analysis of digital and non-digital European SMEs. • The findings provide insights for SMEs and policymakers about the costs and benefits of engaging in OI practices. [ABSTRACT FROM AUTHOR]

Digital disruption in the form of new business models may include changes to the ecosystem of a firm. This paper defines the ecosystem as external stakeholders interdependent on a focal firm, and shows how such stakeholders play different roles as disruption unfolds. Focusing on incumbent firms and their ecosystems, this paper describes and categorizes the role of ecosystem stakeholders across various stages of disruption. Two cases on the disruption caused by digitalization in the advertising sector are analyzed. A processual ecosystem stage model is developed including the following roles: reassuring, questioning, unbalancing, and settling. These roles point at the reliance on past stakeholders during disruption, and show how new stakeholders come into play. Most disruption research has focused on how new actors replace incumbent firms or the sector-level disorder. The ecosystem lens centered on an incumbent brings a fresh perspective on such firms' efforts to survive and shows how interdependencies in the ecosystem play out when disruption takes place. The processual stage model, which delineates the different roles of ecosystem stakeholders during a disruption, offers valuable new insights to the existing disruption literature. • Describes and categorizes the role of ecosystem stakeholders during disruption • Analyzes two cases of digitalization in the advertising sector • Defines four roles: reassuring, questioning, unbalancing, and settling • Focuses on incumbent firms' interdependencies and ecosystems [ABSTRACT FROM AUTHOR]

This paper provides new insights into perceptions of the meaningfulness of work of service professionals and how it is constructed in the new context of digitalised health and social care long-term services, intended to offer co-created services. It elucidates the criteria evaluating the success of the digital services from the viewpoint of the service professionals. The paper presents case data from advanced digitalised services in Finland based on in-depth interviews with eighteen service professionals. Citing a broad range of literature, the paper carefully defines meaningfulness and co-creation in the context of long-term social and healthcare services and using a Vygotskian approach to social learning, it provides evidence of how context influences perceptions of successful change and of meaningfulness. In doing so, the paper suggests that the context for these digitalised services is best viewed from: (a) the stakeholder ecosystem, (b) the service context and (c) the service delivery framework. While most research on digitalized health and social care services focuses solely on the success or failure of the service, this paper adds to the body of knowledge around the impact of the meaningfulness of work for the professionals involved. The paper concludes with recommendations for influencing meaningfulness in relation to digital co-creation platforms in public sector health and social care services. • Effectiveness for clients raised by professionals working in longterm care (LTHC) on a digital platform. • New notions of meaningfulness between the idea of co-creating care and the delivery of services in a digital environment. • There is no guarantee of success in; in both cases the quality of learning by professionals is a critical success factor. • Learning from a social learning perspective; the stakeholder ecosystem, the service context and the service delivery. [ABSTRACT FROM AUTHOR]

The research using artificial intelligence (AI) applications in HRM functional areas has gained much traction and a steep surge over the last three years. The extant literature observes that contemporary AI applications have augmented HR functionalities. AI-Augmented HRM HRM(AI) has assumed strategic importance for achieving HRM domain-level outcomes and organisational outcomes for a sustainable competitive advantage. Moreover, there is increasing evidence of literature reviews pertaining to the use of AI applications in different management disciplines (i.e., marketing, supply chain, accounting, hospitality, and education). There is a considerable gap in existing studies regarding a focused, systematic literature review on HRM(AI), specifically for a multilevel framework that can offer research scholars a platform to conduct potential future research. To address this gap, the authors present a systematic literature review (SLR) of 56 articles published in 35 peer-reviewed academic journals from October 1990 to December 2021. The purpose is to analyse the context (i.e., chronological distribution, geographic spread, sector-wise distribution, theories, and methods used) and the theoretical content (key themes) of HRM(AI) research and identify gaps to present a robust multilevel framework for future research. Based upon this SLR, the authors identify noticeable research gaps, mainly stemming from - unequal distribution of previous HRM(AI) research in terms of the smaller number of sector/country-specific studies, absence of sound theoretical base/frameworks, more research on routine HR functions(i.e. recruitment and selection) and significantly less empirical research. We also found minimal research evidence that links HRM(AI) and organisational-level outcomes. To overcome this gap, we propose a multilevel framework that offers a platform for future researchers to draw linkage among diverse variables starting from the contextual level to HRM and organisational level outcomes that eventually enhance operational and financial organisational performance. • This manuscript contributes to the literature on AI-Augmented HRM (HRM(AI)). • This paper highlights the importance of HRM(AI) on organisational outcomes. • This paper analyses the context and the theoretical content of HRM(AI) research. • Builds a multilevel framework for future research. [ABSTRACT FROM AUTHOR]

This paper engages with climate mitigation debates on positive tipping points, which attract increasing attention but remain divided between technological and social tipping point approaches. Building on recent attempts to overcome this dichotomy, the paper develops a socio-technical transitions perspective which shows how co-evolutionary interactions between techno-economic improvements and actor reorientations can significantly accelerate diffusion. Mobilising insights from political science, discourse theory, business studies, consumption theory, and innovation studies, we elaborate the Multi-Level Perspective to articulate seven feedback loops in tipping point dynamics. We illustrate and test our co-evolutionary perspective with two case studies, UK offshore wind and electric vehicles. These case studies not only demonstrate the importance of interacting feedback loops, but also show a contrasting sequence in tipping point dynamics, with substantial techno-economic deployment preceding major actor reorientations in offshore wind, while following them in the EV case. The cases also indicate the crucial roles of policymakers in low-carbon tipping point dynamics as well as the importance of policy learning and social, political, and business feedbacks in strengthening and reorienting policy support. • Paper develops a novel socio-technical perspective on positive tipping points. • Techno-economic developments and significant actor reorientations causally co-evolve. • Mobilising wider social science insights, we distinguish seven feedback loops. • Perspective is illustrated with two case studies: offshore wind and electric vehicles. • Varying sequences of feedback mechanisms generate different tipping point patterns. [ABSTRACT FROM AUTHOR]

The number of smart city initiatives is growing worldwide at an incredible pace. Their ambition is to add to the competitiveness of local communities through innovation while increasing and attracting users, financial capital and talent by offering an environment suited to current needs. Digital implementation plays a key role in this evolution, facilitating cities' ability to offer and advanced urban environment tailored for its users and stakeholders. In this paper, we examine how digital technology implementation affects the attractiveness of cities in terms of intra- and international talent flows and the creation of innovative companies. Our analysis is based on a dataset of 20 Italian cities over an 11-year period. We use the GLS (Generalized Least Square) panel data estimation method, considering both direct and u-shaped effects to evidence the relationship between digital technology implementation and the attractiveness of cities for intra- and international talents, and to explore an advancing urban environment conducive to innovation and entrepreneurship. Based on empirical outcomes, this study offers valuable insights for both academics and policymakers in understanding and balancing the current interplay between digital implementation, innovative companies, and talents in contemporary cities. • This article assesses the effect of digital technology in cities on attracting new talent and innovative companies. • The results show a direct relationship between digital technology implementation, talent inflow, and innovative companies. • Moreover, the results show a reverse U-shaped effect on the interaction between digital technology and innovative companies • The paper provides practical implications for the role of smart cities in the existing urban and economic trajectories. [ABSTRACT FROM AUTHOR]

This study investigates the spatial and temporal evolution of ecosystem service value (ESV) in the Yangtze River Delta (YRD) region using an improved equivalent factor method based on land use data for five periods from 2000 to 2020. The research also examines the mechanism and spatial spill-over effects of economic development and urbanisation on ESV using a spatial econometric model. The findings indicate that YRD region's ESV rose from 442,422 million to 1,304,068 million between 2000 and 2020 and considerable spatial spill-over impact is evident. Although local economic development contributes positively to the improvement of ESV, development in nearby cities has a reducing effect on local ESV, leading to an overall negative impact. Urbanisation's effect on ESV presents an inverted U-shaped curve. When the population urbanisation rate is less than 56.96 %, expansion is advantageous to ESV growth; however, when the rate is higher than this threshold, blind expansion of population urbanisation is not advantageous to growth. The study's findings provide useful insights for policy formulation and forging a course for sustainable regional eco-economic development. • This paper reveals the spatial and temporal evolution of ESV in the YRD since 21st century. • This paper examines the spatial spill-over effects of economic development and urbanisation on ESV. • Local economic development contributes positively to the improvement of ESV. • Development in nearby cities has a reducing effect on local ESV, leading to an overall negative impact. • Urbanisation's effect on the ESV exhibits an inverted U-shaped curve. [ABSTRACT FROM AUTHOR]

This paper contributes to the literature with a methodology that helps identify the functions that constrain the overall performance of an innovation system, hence providing clear guidelines to policymakers on the direction of their interventions. This methodology relies on the notion of penalty for bottleneck, which is defined as the weakest link or the binding constraint that holds back system performance. These penalty bottlenecks are applied to all the indicators that characterize innovation systems, and consider its input-output mix when assessing their performance through a Productivity Innovation Index. The data provided by the 2021 edition of the European Innovation Scoreboard are used to illustrate the utility of the method introduced in the paper. We first identify the input and output bottlenecks for every country. Second, we report the productivity loss due to the existence of these bottlenecks. Third, we evidence the responsiveness of the Productivity Innovation Index to bottleneck alleviation, from three different perspectives: (i) application of a 10 % alleviation to the input bottleneck; (ii) application of a 10 % alleviation to the output bottleneck; and (iii) application of a 5 % alleviation to both the input and output bottlenecks, respectively. • We extend the penalty for bottleneck methodology of Acs et al. (2014) to innovation input and output indicators. • We identify the bottlenecks that constrain the overall performance of innovation systems from input and output perspectives. • We compute the cost of bottlenecks in terms of the Productivity Innovation Index. • We assess the policy needs for the innovation systems of all European countries. • We offer guidelines to policymakers on the direction of their interventions. [ABSTRACT FROM AUTHOR]

This paper explores the potential association between the spread of fake news and the panic buying behavior, in urban and rural UK, widely accessible on Twitter since COVID 19 was announced by the WHO as a global pandemic. It describes how consumer's behavior is affected by the content generated over social media and discuss various means to control such occurrence that results in an undesirable social change. The research methodology is based on extracting data from texts on the subject of panic buying and analysing both the total volume and the rate of fake news classification during COVID-19, through crowdsourcing techniques with text-mining and Natural Language Processing models. In this paper, we have extracted the main topics in different phases of the pandemic using term frequency strategies and word clouds as well as applied artificial intelligence in exploring the reliability behind online written text on Twitter. The findings of the research indicate an association between the pattern of panic buying behavior and the spread of fake news among urban and rural UK. We have highlighted the magnitude of the undesired behavior of panic buying and the spread of fake news in the rural UK in comparison with the urban UK. [ABSTRACT FROM AUTHOR]

Tackling climate change crises needs intelligent manufacturing and effective business models. This paper uses the adaptive structuration theory (AST) and configuration perspective to investigate the effects of digital infrastructure, digital orientation, top management team heterogeneity, servitization, government support, and customer demand uncertainty on the business model of intelligent manufacturing enterprises in China. The fuzzy set qualitative comparative analysis (fsQCA) was employed to analyze the data. The study found that there were five configurations of business model formation, which classified business models into five types: executive-led enhanced, digital leadership-enhanced, adaptive, extended, and complex business models. There was an intrinsic relationship between the five models with respect to the dimensions of digitalization and servitization. Further analysis revealed that executive-led, digital leadership-enhanced, and adaptive business models were positively associated with enterprise performance. The paper discusses the potential implications of these findings. • There are five formation pathways of the business model. • An interrelated relationship among the models regarding the digitalization and servitization • Business models influenced by digitization make enterprises more sensitive to climate change. • Enhanced and adaptive business models are associated with enterprise performance. [ABSTRACT FROM AUTHOR]

The potential of digital platforms to deliver on both economic and societal values is contested, with many arguing that economic value is prioritized to the detriment of more social values. Yet, the literature lacks in-depth empirical studies on how these perceptions of worth in the early stage of platform development are developed and settled upon. This paper draws on valuation studies to provide insight into how multiple platform founders construct the worth of a nascent agriculture data-sharing platform in Sweden. Using qualitative methods, the study shows that initially, the platform founders consider a number of values (accessible and transparent data, profitability, sustainability and innovation) that are defined through 'common good' and 'economic good' aspects. However, the need to articulate the worth to potential funders and partners encourages a reliance on measurable qualities, which subsequently leads to a shift in how values are defined and discussed, foregrounding and backgrounding different values and stakeholders in the process. These insights point to the complexity for firms grappling with economic and social values and highlight the need for the re-evaluation of the frameworks used to determine the value of innovation in the agri-food sector. • As digital platforms proliferate, there are questions around their ability to generate both economic and societal values • The perceived value of platforms and the values that underpin their development are not fully understood • The paper traces the values debated in the early stage processes of platform development • Analyzing these values provides insights into the implicit and explicit frames used to determine platform worth • These frames can affect which values and stakeholders get foregrounded or backgrounded in early-stage platform development [ABSTRACT FROM AUTHOR]

In recent years, advancements in machine learning (ML) have facilitated the utilisation of big data across various academic disciplines. Nonetheless, these techniques still require a high-level of programming and data science expertise, making them inaccessible to many researchers and hindering the potential for knowledge advancements. This paper presents a framework for identifying the adoption of Industry 4.0 (I4.0) technologies among European firms that have undergone restructuring events. Existing studies on I4.0 adoption rely on diverse data sources at different levels of aggregation (e.g., countries, sectors, firms), spanning various time periods and technological domains. While this diversity often complicates result comparison, it also drives researchers and institutions to explore new data sources to assess technology adoption. Our identification methodology is based on the implementation of ML techniques using STATA, a well-established and user-friendly statistical software. We offer a step-by-step guide based on recently developed commands, allowing for comparison of model performance and analysis of model features. Our findings underscore the potential of ML algorithms as a robust tool for collecting new firm-level data on I4.0 adoption. Specifically, we observe that business restructuring events predicted as I4.0-related conform to adoption patterns identified in prior studies, across countries, sectors and over time. • This study presents machine learning models to predict Industry 4.0 adoption. • A methodology is presented to explore the application of data science techniques in social sciences. • The machine learning implementations are based on a set of recent commands for STATA. • Eurofound's data on 23,618 restructuring events were used to predict technology adoption from textual descriptions. • Predicted adoption patterns conform to those observed across European countries, sectors, and over time. [ABSTRACT FROM AUTHOR]

Cultivating Non-Timber Forest Products (NTFPs) serves as a crucial means to increase the income of impoverished households in remote areas, while also providing an important avenue towards achieving equitable economic development and environmental preservation. This paper explores the impact of the internet use on households' NTFPs cultivation practices. Based on the available dataset of 641 valid questionnaire responses collected through field research conducted by the research team, this study employs an in-depth analysis utilizing endogenous transformation models. Furthermore, the study recognizes the importance of considering heterogeneity among different user groups and purposes. The results indicate that households who use the internet with the proportion of NTFPs in their forest land being 8.863 % higher than others. Households who use the internet for sales having a proportion of NTFPs in their forest land that is 12.083 % higher than that of non-internet-using households, while households who use it for production only has a 6.971 % increase. Further analysis reveals that internet use increases households' social capital levels, thereby promoting NTFP cultivation, which is attributable to the rise of special e-commerce models such as WeChat business. Furthermore, the use of the internet to some extent reduces the supply of agricultural labor. • A total of 641 valid households' questionnaires from Sichuan and Shaanxi province was collected to explore the theme. • The impact of the Internet on the planting area of NTPFs varies according to the purpose of using the Internet. • The Internet can influence households' NTFPs cultivation decisions by their social capital and non-farm employment levels. [ABSTRACT FROM AUTHOR]

Measuring digitalization has been a central topic in academic discourse. While evaluating firms' efforts in increasing digitalization is crucial, quantifying it at scale, presents considerable challenges. This paper uses website information as a source of data to operationalize a measure of digitalization. Drawing on a sample of 60,942 firms, our approach proposes two distinct measures of digitalization: one at the product level and the other at the general organizational level. We substantiate these measures using a blend of qualitative and quantitative methods. The study validates the content of websites as a relevant source of innovation indicator data and verifies the indicators using multiple experiments. The developed digitalization indicators offer future research an empirical measure of digitalization that can be run at scale, across industries and regions through time. • Highlights the multifaceted nature of digitalization and the challenges in measuring it through traditional methods. • Introduces novel empirical measures for firm-level digitalization based on large sample website data. • Demonstrates the utility of website information in assessing firm digitalization and innovation performance. • Offers insights into the firm level digitalization, enhancing understanding of industry and regional dynamics. [ABSTRACT FROM AUTHOR]

Using a rigorous panel of experts from diverse sectors and organisational sizes, the paper investigates the enablers and the role of people & management, technology & innovation mechanisms in traditional and digital technological organisations, unveiling the context-specific interventions triggered by specific mechanisms leading to the outcomes of sustainable industry 4.0 (I4.0) and transition to Industry 5.0 (I5.0). The under-researched causal relations among enablers are seen through the lenses of the structural contingency theory (SCT) and the Context-Intervention-Mechanism-Outcome (CIMO) logic. Interventions are enablers in action. Based on a set of enablers from the literature, cause and effect diagrams are derived from Fuzzy Delphi and FDEMATEL methods. Two distinct roadmaps resulted from the research. The findings of the roadmaps emphasise different outcomes in organisations of different sizes, technologies and strategies (traditional or digital). For the outcome of strengthening I4.0, the leading resulting enabler is corporate culture. To transition to I5.0, a more extensive set of enablers is required, comprising a combination of corporate culture, use of natural resources, consistent data flows, data security, and effective communications. This study contributes to practice with two roadmaps for sustainable technological advancement for both traditional and digital technological organisations and contributes to theory by applying a novel combination of theories to a new field of study. • Investigates enablers for sustainable I4.0 integration and transitioning to I5.0 • Builds upon theory and empirical evidence from multiple real-world industries • Combines contingency theory and Context-Intervention-Mechanism-Outcome logic • Offers design propositions for traditional and digital technological organisations • Cause and effect diagrams are derived from Fuzzy Delphi and FDEMATEL methods. [ABSTRACT FROM AUTHOR]

The COVID-19 outbreak has induced pivotal technological and socioeconomic changes, reshaping the global landscape. This meta-analytic review examines 52 studies from leading databases, offering a comprehensive insight into these profound shifts. The analysis highlights the acceleration in digital technologies adoption, encompassing remote work, e-commerce, and automation. Concurrently, it reveals notable socioeconomic transformations, including altered consumer behavior, flexible work arrangements, supply chain disruptions, and increased healthcare technology demand. The pandemic's ripple effects have further widened the digital divide and intensified social inequalities, reflecting variations across industries and regions. Government policies and regulations have emerged as influential factors, shaping the magnitude and nature of these changes. This review underscores the multifaceted impact of COVID-19, illuminating the complex interplay between technological advancements and socioeconomic dynamics. It emphasizes the need for strategic adaptation by policymakers, businesses, and individuals in navigating the post-pandemic era. In sum, this paper presents a nuanced understanding of the lasting technological and socioeconomic ramifications of COVID-19, offering valuable insights for shaping future strategies and policies and contributing to the broader discourse on global resilience and transformation. • COVID-19 has led to significant technological and socioeconomic changes with far-reaching effects on the global economy. • COVID-19 has accelerated the adoption of digital technologies, particularly remote work, e-commerce, and automation. • COVID-19 has widened the digital divide and exacerbated social inequalities. [ABSTRACT FROM AUTHOR]

In recent years, companies have updated their strategic goals, adding the goal of digitalization to the already commonly accepted goal of sustainability. The convergence between these two strategic goals, digitalization, and sustainability (D S) convergence, is the complete and conjoint attention to both strategic goals. This paper analyzes this phenomenon in depth by studying the implementation of sustainable and digital measures in companies. In doing so, we categorize firms' strategies from less to more D S convergence, analyzing the factors that promote the full attention to both strategic goals, emphasizing those that enhance the mentioned D S convergence. The findings from the analysis of a sample of >16,000 small and medium-sized enterprises (SMEs) worldwide reveal that companies that devote more effort to business growth, innovation, exports and that perceive the environment as favorable are more likely to achieve full D S convergence. • Digitalization and sustainability are considered new strategic goals. • Digitalization and sustainability convergence is needed for competitive advantage. • Convergent firms have more advanced innovation objectives and an active growth plan. • Favorable environments and exports encourage the convergent profile. [ABSTRACT FROM AUTHOR]

Transdisciplinary processes deal with transdisciplinary problems that are (i) complex, (ii) societally relevant, (iii) ill-defined, and (iv) real-world problems which often show a high degree of ambiguity resulting in contested perceptions and evaluations among and between scientists and practitioners. Therefore, they are susceptible to multiple trade-offs. Transdisciplinary processes construct socially robust orientations (SoROs) particularly for sustainable transitioning. The integration of science and practice knowledge on equal footing (1) is considered the core of transdisciplinary processes. Yet other forms of knowledge integration contribute essentially to construct SoROs. Individuals may (2) use different modes of thought; (3) refer to various cultures with diverse value and belief systems; and (4) problems are perceived and prioritized based on roles and interests. Coping with transdisciplinary problems, (5) purposeful differentiation and integration and (6) an integration of evolutionary evolving codes of representing knowledge are necessary. Finally, (7) what systems to integrate requires consensus-building among participating scientists and practitioners. This paper is Part I of a two-part publication. It provides a conceptualization of the different types of knowledge integration. Part II analyzes tasks, challenges, and barriers related to different types of knowledge integration in five transdisciplinary processes which developed SoROs for sensitive subsystems of Germany affected by the irresponsible use of digital data. • Systemic, epistemic, and normative feature characterize transdisciplinary problems. • Science and practice use different drivers, rationales, and reward systems. • Seven types of knowledge integration build the core of transdisciplinary processes. • Understanding knowledge integration requires history and theory of science analyses. • The types of knowledge integration improve the practice of transdisciplinarity. [ABSTRACT FROM AUTHOR]

This research investigates the influence of digitalization on supply chain resilience (SCR) as well as the effects of SCR on social performance (SP). The paper also investigates the moderating role of COVID-19 disruption intensity. Stakeholder dynamic capabilities view (SDCV) theory is the theoretical background that anchors this article. The empirical investigation adopted a quantitatively based survey and a partial least squares structural equation modeling data analysis approach. The findings indicate that digitalization can influence SCR positively and significantly, and SCR can significantly affect SP. The findings reveal a surprising result concerning disruption intensity and digitalization. Instead of corroborating the influence of disruption intensity on digitalization deployment and SCR, the findings indicate that the moderating effect of disruption intensity is only significant for the relationship between SCR and SP. The results attest to the influence of digitalization on SCR and SP, offering further research avenues and implications for practice. • Digitalization enhances supply chain resilience (SCR) significantly. • SCR positively impacts social performance (SP). • COVID-19 disruption intensity moderates SCR's effect on SP. • Stakeholder dynamic capabilities view (SDCV) theory framework applied. • Implications for practice and future research avenues discussed. [ABSTRACT FROM AUTHOR]

This paper examines the impact of digital technologies on nutritional intake in less developed regions. The theoretical analysis suggests that the development of digital technologies improves labor allocation efficiency and increases individual income, thereby affecting nutritional intake. Using data from the China Family Panel Studies (CFPS), we find that adopting digital technologies significantly increases the likelihood of protein consumption among rural residents. This adoption has facilitated better labor allocation by creating job opportunities and promoting non-agricultural employment, leading to increased income and improved nutrition for rural populations. Further analysis reveals that access to digital technology plays a more crucial role in enhancing nutritional intake for individuals with low education levels and low incomes, indicating its potential to bridge the digital divide in terms of nutrition. Our study offers a fresh perspective on how less developed regions can leverage digital technology more equitably. • This study explores how digital tech impacts nutrition in less developed regions. • Theoretical analysis reveals that digital tech enhances labor efficiency, boosts income, and influences nutritional intake. • Using China Family Panel Studies (CFPS) data, we link digital tech adoption to increased protein consumption among rural residents. • Digital tech adoption creates job opportunities, boosts non-agricultural employment, raises income, and improves rural nutrition. • Access to digital tech notably improves nutrition for lower-educated and lower-income individuals, bridging the digital divide in nutrition. [ABSTRACT FROM AUTHOR]

This paper constructs a theoretical model to explain the impact of digital technology transformation on corporate environmental performance (CEP). Then, data mining technology is used to crawl the annual report data of Shanghai and Shenzhen A-share listed companies from 2008 to 2021. With the help of text mining analysis, this study quantifies the digital transformation of enterprises and empirically analyses the impact of digital transformation on CEP. The results indicate that digital transformation has significantly improved CEP. The evidence remains valid after a series of robustness tests, including replacing core variables, eliminating the impact of external major events, improving sample quality and instrumental variable regression. Mechanism verification shows that Digital transformation (DT) enhances CEP through 'green technology upgrading', 'increasing external media attention' and 'enhancing internal management control' effects. Heterogeneity analysis shows that DT has a more significant positive impact on non-private, industry technology-intensive, high regional environmental regulation, high energy consumption and high emission CEP, Internet business models are less conducive to improving corporate environmental performance than other digital technologies. Further tests show that resource reallocation improves the industry's environmental performance and is an important channel for DT to play a catalytic role. • A theoretical model of how digital transformation (DT) influence corporate environmental performance (CEP) is constructed. • Data mining technology is used to crawl the annual report data of Shanghai and Shenzhen A-share listed companies. • Text mining analysis is used to quantifies the digital transformation of enterprises. • The results indicate that digital transformation has significantly improved CEP. [ABSTRACT FROM AUTHOR]

This paper investigates the impact of financial innovations (mobile money) on financial inclusion. Using both parametric and nonparametric methods on panel data from 50 African countries over the period 2004–2020, we find that mobile money adoption positively affects financial inclusion. Indeed, the results from propensity score matching show that mobile money adoption promotes financial inclusion in a range of 12–14 %. These results stem from the match between the services offered to individuals and their needs. Our results remain robust to a battery of robustness checks, including alternative measures of financial inclusion, alternative sample, heterogeneity analysis, as well as alternative estimation method. Overall, this study contributes to the construction of a hitherto underdeveloped literature on the macroeconomic impact of mobile money in the context of digitalization of the financial system. • This paper assesses the impact of financial innovations (Mobile Money) on financial inclusion. • We Apply both parametric and non-parametric methods on a sample of 50 African countries over the period 2004–2020. • The findings show that mobile money adoption promotes financial inclusion in a range of 12–14 %. • The results remain robust to a battery of robustness checks, including alternative measures of financial innovation and financial inclusion, sample switching, accounting for heterogeneity, and changing the estimation method. [ABSTRACT FROM AUTHOR]

This paper investigates the phenomenon of business models innovation (BMI) empowered by digital technologies and activated as a response to Covid-19 crisis. In fact, during the crisis numerous digital redesigns of businesses occurred to pursue both continuity and competitive advantage. Among these, the food retail sector has undergone under the pressure of the crisis intense digital changes, which, however, have not yet been investigated under the theoretical lens of BMI. To fill this gap, the paper analyzes the digital actions taken during the pandemic crisis by two large food retailers, namely Walmart and Carrefour. Covering a wide temporal interval of the pandemic evolution and reviewing multiple geographical markets, the authors interpreted the grocer's digital responses to the crisis in terms of innovation in value creation and capture mechanisms. As a result, three phases of digital BMI have been reconstructed, each characterized by specific mechanisms of value creation and capture experienced by the two grocers during the pandemic. Leveraging these findings, the paper proposes a model capable of defining how digital BMI takes place in response to crises. Results broaden theoretical knowledge and practical suggestions on digital BMI in terms of enabling factors, actionable value mechanisms, and future business opportunities. • New value creation and capture mechanisms emerged to face Covid-19 in food retail. • Grocers' response to Covid-19 crisis experienced three digital-empowered stages. • Enabling factors activate both value mechanisms modification and growth strategies. • Change in existing BMs and creation of new BMs allow to innovate during crisis. [ABSTRACT FROM AUTHOR]

The health sector is very specific and difficult market for firms to access and deal with. The main reasons for this is that the healthcare systems are in continuous change, the co-creation processes in hospitals are complicated involving many different actors which also affects on firms commercialization and internationalization approaches. However, there is a growing demand of health services and the sector is growing also due to the COVID situation, that has been dramatically speeding up the digitalization of the healthcare services in the hospital settings. Approaching international hospital markets is, however, challenging for the start-up companies. On their journey they are facing a resistance, that they have to overcome in many different ways. The aim of this paper is to increase understanding how a start-up can overcome hospital resistance in an international innovation co-creation process. The results of are based on in depth case study in which the data collection was done over the four years of data gathering. The paper highlights how start-up companies can overcome the resistance in the international innovation co-creation in the hospital markets. It shows the importance of different activities, actors, capabilities and international activities in different phases of the international innovation co-creation journey. [ABSTRACT FROM AUTHOR]

The widespread use of digital technology has promoted the rapid development of digital platforms. The current research on the industrial internet platform, a relatively new digital platform in the manufacturing industry, is insufficient to explain its development process. Therefore, this study explores the growth process of the industrial internet platform through a vertical single-case analysis from the perspective of resource orchestration. The following three findings have been obtained: (1) Industrial internet platforms have four key capabilities, namely industry fundamental capabilities, technical capabilities, policy grasp capabilities, and social resource integration capabilities. (2) The main mechanism for critical capabilities that promote the platform's growth lies in the orchestration of crucial resources, which can be structured in four ways: structuring industrial knowledge, bundling industrial modules, leveraging industrial supply resources, and bundling and leveraging government and enterprise resources. (3) The growth of the industrial internet platform follows the path of "serving enterprises—serving industries—serving industrial chains". This paper contributes to research on the industrial internet platform's key capabilities and growth mechanism and provides a valuable reference for its development. • Discuss a new phenomenon that has not been fully explored in current study • Discover the crucial capabilities of industrial internet platform • Reveal the core mechanisms for key capabilities to promote the growth of the platform • Summarize the growth path of the industrial internet platform [ABSTRACT FROM AUTHOR]

This paper proposes that institutional investor ESG activism affects corporate green innovation through two attention mechanisms: intra - firm allocation of attention and inter - firm integration of attention. Using the attention-based view within an agency framework, we explore the moderating roles of media coverage and industrial chain relatedness in attention mechanisms, and whether such moderating effects differ in digital and non-digital firms. Using a dataset of 2726 Chinese listed firms from 2007 to 2021, we find that ESG activism by institutional investors enhances corporate green innovation, and media coverage strengthens this positive linkage. The positive moderating role of media coverage is more impactful in digital firms than in non-digital firms. An unexpected finding is that industrial chain relatedness negatively moderates the influence of ESG activism on green innovation, but this negative moderation is alleviated in digital firms. These findings provide novel implications for firms as they address agency conflicts through shareholder activism and advance green innovation in the digital era. • Institutional investor ESG activism promotes corporate green innovation via attention allocation and attention integration. • Such linkage is positively moderated by media coverage and negatively moderated by industrial chain relatedness. • Such positive moderating effect of media coverage is more impactful in digital firms than in non-digital firms. • Such negative moderating effect of industrial chain relatedness is alleviated in digital firms compared to non-digital firms. [ABSTRACT FROM AUTHOR]