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We consider a manufacturer and an e-platform where the manufacturer sells products through offline and e-platform channels under the cap-and-trade scheme. The interaction between the two channels produces the cross-channel effect (CCE). This manufacturer cooperates with the e-platform in the agency or reseller mode. In addition, the platform shares its observed data with the manufacturer and the blockchain can achieve traceability and high transparency of these data. We formulate a Stackelberg game to derive the following results: In the agency mode, the optimal service level is independent of (decreases with) CCE without (with) blockchain. CCE positively affects the optimal service level in the reseller mode and the optimal service level has no impact on (increases with) the cap in the agency (reseller) mode. Second, when the platform-enabled power is high (low), the platform is (not) willing to adopt blockchain. Third, coordination of the manufacturer and platform only can be achieved in the agency mode when CCE is low with blockchain. The reseller mode can (cannot) achieve coordination of the two firms with (without) blockchain. We also consider the cases where the manufacturer serves as the leader and the omni-channel strategy is adopted to check the robustness of the coordination results. [ABSTRACT FROM AUTHOR]

Digital enabled agility reflects the transformative outset of an organisation to first upgrade its business processes digitally towards facilitating real-time information processing/capabilities. Second, tapping from real-time capabilities, digital enabled agility maximises an agile response's efficacy in enhancing the sophistication of rapidity, flexibility, and sensing involved. In this backdrop, driven by newer IT infrastructure and disruptive technology, this research accentuates on Industry 4.0 digitalisation to understand how a manufacturer can gain digital enabled agility. An empirical survey of manufacturers within the premise of Industry 4.0 is conducted. Drawn from the findings, the capabilities of traceability and visibility can be facilitated by Industry 4.0 that would improve information sharing and information quality in real-time. These capabilities are key propellants to unlock the digital extent of agility. This research however details further how this scope of agility is an extension to that of the scope of typical agility in terms of its ability to handle expansive information processing needs and dynamic coordination/resource orchestration. Insights are weaved under the purviews of (a) organisational information processing view and (b) the manufacturer who is coordinating contemporary dynamic production and allied value chain requirements. [ABSTRACT FROM AUTHOR]

This study investigates the effects of the organization of industrial Research & Development on industrial researchers' knowledge acquisition behavior. Specifically, we test a model about how the fit of individuals with their research tasks affects whether industrial researchers acquire knowledge from outside their assigned projects. Empirical analyses from the R&D laboratory of a global pharmaceutical company show that person-task-fit has a non-linear effect on the knowledge content exchanged through interpersonal interactions. Implications for the management and organization of R&D activities are discussed. [ABSTRACT FROM AUTHOR]

Sire is a Python/C++ library that is used both to prototype new algorithms and as an interoperability engine for exchanging information between molecular simulation programs. It provides a collection of file parsers and information converters that together make it easier to combine and leverage the functionality of many other programs and libraries. This empowers researchers to use sire to write a single script that can, for example, load a molecule from a PDBx/mmCIF file via Gemmi, perform SMARTS searches via RDKit, parameterize molecules using BioSimSpace, run GPU-accelerated molecular dynamics via OpenMM, and then display the resulting dynamics trajectory in a NGLView Jupyter notebook 3D molecular viewer. This functionality is built on by BioSimSpace, which uses sire's molecular information engine to interconvert with programs such as GROMACS, NAMD, Amber, and AmberTools for automated molecular parameterization and the running of molecular dynamics, metadynamics, and alchemical free energy workflows. Sire comes complete with a powerful molecular information search engine, plus trajectory loading and editing, analysis, and energy evaluation engines. This, when combined with an in-built computer algebra system, gives substantial flexibility to researchers to load, search for, edit, and combine molecular information from multiple sources and use that to drive novel algorithms by combining functionality from other programs. Sire is open source (GPL3) and is available via conda and at a free Jupyter notebook server at https://try.openbiosim.org. Sire is supported by the not-for-profit OpenBioSim community interest company. [ABSTRACT FROM AUTHOR]

Core enterprises are entering into close collaborations with multi-level manufacturing service providers to create and share value. However, credible data sharing in collaborative manufacturing supply chains is rare, which can lead to uncontrollable production distortions and delayed operational adjustments. Driven by blockchain technology, this study proposes a systematic framework for credible manufacturing data sharing for a cross-enterprise collaborative manufacturing supply chain (CMSC). To develop the needed method, a blockchain network system with blockchain nodes, distributed ledger, and Raft-based distributed node ordering service system was first modelled. Then, two automatic data upload algorithms were studied to ensure the reliability of off-chain manufacturing data sources from core enterprises, suppliers, and customers. Then, two types of smart contracts were designed to ensure the standardisation and co-validation of manufacturing data storage and query processes in the blockchain network. A demonstrative case was studied to validate the proposed blockchain-based credible manufacturing data sharing method. The results show that our work is effective for credible data sharing in CMSC, which makes it easier for core enterprises to better operate the CMSC and further stimulate enterprises to create a credible social community. [ABSTRACT FROM AUTHOR]

Cybersecurity presents non-negligible challenges for firm collaboration and supply chain viability, as information exchange among nodes introduces potential interdependent risks. How to make appropriate decisions on security investments and information exchange modes is a significant issue for supply chain members. Considering two information exchange modes: system interconnection and system independence, this study develops two game models to investigate the cybersecurity investments in a vertical supply chain composed of a retailer and n suppliers. Initial analysis shows that although firms learn investment decisions mutually in the face of a changing cybersecurity environment, suppliers always take a free ride on the efforts of retailer in two cases and the increased interdependent risks will damp nodes enthusiasm for security investments. Next, to compare the two cases, we introduce information exchange efficiency as the mediate parameter to link degree of system interconnection and proportion of information shared. We found that under the system independence mode, firms with high information-exchanging demand in the large-scale supply chain are more motivated to invest in cybersecurity. Furthermore, we extend our models to a centralised decision-making scenario. We find that security investment efficiency is greatly improved, and the free-riding behaviour of supplier is significantly reduced when systems are interconnected. [ABSTRACT FROM AUTHOR]

Copyright of Contemporary Accounting Research is the property of Canadian Academic Accounting Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Interorganizational partnerships can spur innovation, but their value may be diminished by friction in knowledge flows between firms. We consider how a partner's organizational structure may influence the knowledge that is accessible via partnerships. We focus on how a partner's structure trades off localized autonomy for its managers, which facilitates timelier decision making, and unified control, which facilitates integration. By shaping this balance, centralization of decision rights within the partner organization shapes access to its knowledge. Centralized structures generate wide-ranging internal knowledge pathways that enable access to a broader array of a partner's knowledge. However, the reduced managerial autonomy afforded by centralization makes decision making more cumbersome, which constricts the rate of access to a partner's knowledge. We find evidence of this tradeoff in the context of corporate venture capital relationships between incumbents and startups in the pharmaceutical industry. An increase in the incumbent's diversity of knowledge or in the knowledge required by the startup enhances the value of a greater breadth of access, whereas the degree to which the startup can leverage social ties (affinity) or hierarchical fiat (authority) alleviates the costs of a reduced access rate. Each of these features makes an incumbent organization's centralization more valuable to the startup. By highlighting this tension related to centralization, our findings suggest that new firms striving to maximize their partnership benefits may need to carefully consider their partners' internal structures. [ABSTRACT FROM AUTHOR]

The historiography of the American effort in World War I describes an American unwillingness to learn from the Allies. However true that may be for the combat arms, it was untrue for the Army Medical Department (AMEDD). The AMEDD sought a wide range of information from the beginning of the war, and through multiple channels that expand substantially and systematically once the U.S. entered the war. The information was also disseminated through multiple channels and made significant impacts on medical care in the American Expeditionary Force (AEF) during the Great War. Historians should be more cautious about assuming that all parts of the AEF were resistant to foreign information. [ABSTRACT FROM AUTHOR]

The Internet's widespread adoption and recent technological developments have provided researchers with the opportunity to capture new data types (e.g., images, passively collected data), which offer several advantages over conventional survey data. Nevertheless, the limited participation rate in projects requiring to share such data may limit their benefits, and even their feasibility. To estimate the willingness to participate in such projects in advance, researchers frequently rely on surveys. However, the way researchers describe what data should be shared and how, and the phrasing of questions asked to participants to obtain their agreement may result in different estimates. This study presents the results of a conjoint experiment that estimates the hypothetical willingness of participants to engage in two research activities that require sharing geolocation data. Three different descriptions of the activities were presented to participants: a neutral one, one emphasizing the necessity to commit to participate, and one emphasizing safe handling of shared data. The three descriptions elicited different levels of willingness, with a maximum effect of 7.0 percentage points (statistically significant). Additionally, the importance given by participants to the attributes of the activities (e.g., project duration or incentives) differed depending on the description. Notably, the description that emphasized data safety produced lower levels of willingness compared to the neutral one. This suggests that researchers should avoid overly emphasizing safety assurances when requesting the sharing of sensitive data, beyond the necessary information required for obtaining informed consent from participants. [ABSTRACT FROM AUTHOR]

Knowledge sharing is considered an important promotor of new product development (NPD) performance. However, studies have shown that making experts share knowledge in new product development (NPD) projects is often a challenging task. Consequently, this topic has attracted substantial attention in academic research. However, although studies have produced valuable insights, more detailed accounts of the mechanisms shaping knowledge sharing processes in NPD projects are sparse. To add to the knowledge on this topic, this study conducts a series of interviews with NPD professionals at manufacturers of high-tech industrial products to identify 'factors influencing knowledge sharing' (FIKS). The identified FIKS are explained through the socio-physiological theory, the 'reasoned action approach' (RAA). This involves several contributions. First, the study provides a detailed explanation of the role of FIKS by describing how they affect the behaviour of knowledge providers and receivers in NPD processes. Second, by identifying 161 FIKS in NPD processes, organised under 18 categories, the study offers the so far most extensive account of FIKS in NPD processes. Third, the findings suggest a special characteristic of knowledge sharing in NPD contexts concerning the relatively high importance of knowledge receiver behaviour. [ABSTRACT FROM AUTHOR]

Copyright of Contemporary Accounting Research is the property of Canadian Academic Accounting Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We study the observability of investors' information-acquisition activities in financial markets. Improving observability leads to two strategic effects on information acquisition: (1) the pricing effect, which arises from interactions between investors and the market maker and can encourage or discourage information acquisition, and (2) the competition effect, which concerns interactions among investors and always encourages information acquisition. We apply our theory to study voluntary and mandatory disclosures of corporate site visits. When the competition effect dominates, investors voluntarily disclose their visits. When the pricing effect dominates, mandatory disclosure is effective. Our analysis sheds novel light on Regulation Fair Disclosure. Authors have furnished an Internet Appendix , which is available on the Oxford University Press Web site next to the link to the final published paper online. [ABSTRACT FROM AUTHOR]

Summary: Blockchain (BC) technology has been incorporated into the infrastructure of different kinds of applications that require transparency, reliability, security, and traceability. However, the BC still has privacy issues because of the possibility of privacy leaks when using publicly accessible transaction information, even with the security features offered by BCs. Specifically, certain BCs are implementing security mechanisms to address data privacy to prevent privacy issues, facilitates attack‐resistant digital data sharing and storage platforms. Hence, this proposed review aims to give a comprehensive overview of BC technology, to shed light on security issues related to BC, and to emphasize the privacy requirements for existing applications. Many proposed BC applications in asset distribution, data security, the financial industry, the Internet of Things, the healthcare sector, and AI have been explored in this article. It presents necessary background knowledge about BC and privacy strategies for obtaining these security features as part of the evaluation. This survey is expected to assist readers in acquiring a complete understanding of BC security and privacy in terms of approaches, ideas, attributes, and systems. Subsequently, the review presents the findings of different BC works, illustrating several efforts that tackled privacy and security issues. Further, the review offers a positive strategy for the previously described integration of BC for security applications, emphasizing its possible significant gaps and potential future development to promote BC research in the future. [ABSTRACT FROM AUTHOR]

Quantum Secure Direct Communication (QSDC) is a promising approach for secure information exchange. This paper proposes an efficient and secure four-party QSDC scheme utilizing hyperentangled Bell states in the polarization degree of freedom, the first longitudinal momentum degree of freedom and the second longitudinal momentum degree of freedom. The four participants can perform different unitary operations to independently encode their secret messages onto photons in three degrees of freedom, subsequently transmitting them directly through the quantum channel. In this proposed protocol, each degree of freedom of the photon can effectively carry two bits of information. Each round of transmission by a photon enables the four legitimate participants to obtain six classical bits of information. Notably, when compared to other photons based single-degree-of-freedom QSDC network protocols, the capacity of proposed QSDC protocol is tripled. Therefore, it significantly enhances the information transmission capability. Furthermore, comprehensive security analysis shows that our QSDC network protocol can withstand various attacks from external eavesdroppers. [ABSTRACT FROM AUTHOR]

Researchers have long been intrigued by cooperative behavior in populations of selfish individuals. Recently, the focus has shifted to how social networks shape human interactions, as well as cooperation and moral behavior in general. Real-world situations often require an interdependent network, combining multiple layers of sub-networks. Previous studies have mostly examined cases with similar network structures across layers. Here, we go beyond this by investigating a coupled bilayer network, comprising a real-world collaborative network and a scale-free network, using the Prisoner's Dilemma to study its evolutionary dynamics. Individuals make decisions through social learning, moving within or between layers. We introduce a parameter that measures individuals' ability to communicate across layers. Without this communication, both trans-layer mobility and network structures impact cooperation. A small trans-layer mobility probability boosts cooperation, but excessive mobility erodes network reciprocity, decreasing cooperation in the collaborative layer network. Cooperation frequency is generally lower in the collaborative layer network compared to isolated networks, with individuals migrating to the scale-free layer network. However, with some information exchange, trans-layer mobility facilitates mutual social learning, reversing the decline in cooperation in the collaborative layer network and promoting overall cooperation. These findings may offer insights into population migration as well as regional development strategies. [ABSTRACT FROM AUTHOR]

Organic carbon burial in ancient lacustrine settings is a crucial source of petroleum resources. Unlike the marine environment, the dynamics of organic carbon burial in the terrestrial realm are more complex due to the interplay of global and regional climate-tectonic factors. There appears to be a potential linkage between seawater incursion events (SWIEs) and the generation of lacustrine source rocks. However, reliable proxies to reconstruct the frequency and extent of SWIEs are currently lacking. Here, we explore the potential of rhenium-platinum group elements (Re-PGE) system as a novel proxy for determining SWIEs in the Nenjiang Formation of the lacustrine Songliao Basin in China that is noted for its high-quality source rock. By comparing marine and non-marine intervals, we validate the utility of Re-PGE fractionation patterns and osmium (Os) isotope compositions. Moreover, the Re/Ir ratios demonstrate two main episodes of quantitative seawater-lake water exchange. The comparison of variable indicators shows that the Re-PGE system is more sensitive to the changes in water sources, thus providing detailed information of frequency and exchange amount. The inverse variation between seawater contribution and total organic carbon content further implies that the massive sulfate influx from SWIEs facilitated bacterial sulfate reduction in the sediment pile, which had the effect of recycling nutrients (e.g., phosphorous) back into the water column. The SWIEs-triggered eutrophication induced a positive feedback loop between productivity and hypoxia, creating ideal conditions for the preservation of organic carbon. Our data reveals the detailed mechanism of SWIEs-triggered organic carbon burial and emphasizes the significant role of SWIEs in generating economically important hydrocarbon reservoirs. [ABSTRACT FROM AUTHOR]

This study investigates whether and how the textual content of product descriptions, especially the sentiment element, influences buyers' purchase intentions. Using year-round digital transaction data from Mercari, a leading e-Commerce platform in Japan, we examine the interplay of hard and soft information signals exchanged between sellers and buyers. The study addresses two crucial questions: (1) Do the descriptions that sellers provide on product sales pages impact the buyer's intent to purchase? and (2) In what way does the description influence the buyer's purchase intention? Quantitative analysis is used to understand the relationship between product descriptions, sentiment elements, and purchase intentions. The results show that sentiment factors in product descriptions can serve as high-quality "signals" that can help buyers make informed purchasing decisions and reduce information asymmetry between buyers and sellers. This research contributes to understanding decision-making in online markets, particularly the role of soft information and sentiment analysis. [ABSTRACT FROM AUTHOR]

Movies have long been used for teaching in undergraduate science courses. However, embedding movie references (EMR) in science videos is a new trend. This study explored how EMR in YouTube science videos might affect the nature of comments and the process of learning science. Using constructivist grounded theory, we compared comments on two videos. Up and Atom's (UA) video presented quantum tunneling conventionally, while Because Science's (BS) video used Harry Potter to illustrate the same concept. Content analysis revealed that comments on UA's video are more formal and focused on specific scientific concepts, while comments on BS's video are more casual and diverse, engaging more broadly with the science and video topic. Although conventional science videos may facilitate knowledge exchange and collaborative learning in the comments, these comments may spread misinformation when they lack context, authority, and expertise. Yet, science videos EMR connect scientific concepts with popular culture, and offer unique learning opportunities, including critique, creative thinking, and self-reflection. We argue, however, that EMR in science videos risks diverting attention away from the science content. [ABSTRACT FROM AUTHOR]

Despite a framework of bilateral agreements governing cooperation in competition policy since 1991, the European Union (EU) and United States of America (US) established a new Joint Technology Competition Policy Dialogue in 2021, which was different from previous cooperation and separate from the transatlantic Trade and Technology Council. Drawing from the principal-agent literature, this article argues that the choice to establish the new Joint Dialogue can be understood as an exercise of discretionary authority by agents in different jurisdictions with similar preferences who responded similarly to the common external factor of digitalisation. Facing new and shared challenges arising from the digital economy, the EU and US competition authorities undertook a new effort at cooperation – the Joint Dialogue – through which regulatory agents at various levels can interact, exchange information and improve enforcement in a rapidly changing business environment. [ABSTRACT FROM AUTHOR]

Knowledge sharing between cooperative partners is the key to the success of cooperative innovation projects (CIPs). Understanding the knowledge sharing behaviour of cooperative partners is conducive to the development of cooperative innovation project management. From the perspective of cooperative partners, this study explores the effects of the status of cooperative partners on knowledge sharing behaviour, as well as the moderating effects of task complexity in CIPs. Based on a survey of 174 CIPs, the research results show that the status of cooperative partners has a positive impact on both explicit and tacit knowledge sharing behaviours. Meanwhile, task complexity positively moderates the impact of the status of the cooperative partners on explicit and tacit knowledge-sharing behaviours. Thus, this study provides a cooperative partner's subjective perspective on cooperative behaviour of CIPs. [ABSTRACT FROM AUTHOR]

Voyage charterparty arrangement (VCA) for river shipping is a common agreement between a shipowner and a charterer regarding the transportation of specific cargoes from one port to another via a tramp vessel. Optimizing VCA with the essential terms such as laytime and sailing speed of the vessel, is a crucial task for both parties to reduce potential disputes and achieve win-win outcomes. This paper models the problem from two perspectives: the VCA negotiation stage and execution stage. Firstly, according to the given probability distribution of port time, the theoretically optimal laytime is obtained by using textbook formulation of newsvendor problems (NVP). On this basis, considering the concerns about the inaccuracy of the given probability distribution and the adjustment measures taken by charterers and shipowners in reality, an integrated adjustment model is constructed to determine the optimal laytime in the VCA negotiation stage. Secondly, taking into account the vessel's uncertain lock crossing time, an operations coordination model with information sharing of the berth plan is established to obtain the optimal sailing speed under a certain confidence level in the VCA execution stage. Finally, a case study of chartering tramp vessels on the Yangtze River validates the applicability and effectiveness of the models proposed in this paper, and some important management insights are derived. The results show that establishing lower optimal speed limits and relatively shorter laytime when signing a contract with the shipowner of green river vessels is reasonable for the charterer. By notifying the shipowner of the berth plan after the green river vessel crosses through the lock, the charterer can avoid higher demurrage costs due to speeding-up. Operations coordination would be mutually beneficial without abusing the contract terms. Compared to traditional river vessels, it's more reasonable to reduce the benefits allocated to charterers from the deceleration of green river vessels by shipowners. • Optimizing voyage charterparty arrangement (VCA) for river tramp shipping. • Combining with judgmental adjustments in the optimal laytime model. • Establishing an operations coordination model by considering streamflow and uncertain lock crossing time. • Providing differentiated VCA strategies for green and traditional river vessels. [ABSTRACT FROM AUTHOR]

Blockchain interoperability has become an essential requirement for the advancement of blockchain technology in numerous fields. Enterprise organizations are increasingly utilizing permissioned blockchains to manage and store their organizations' data and transactions in a private immutable ledger. Interoperability enables permissioned blockchain platforms to communicate and exchange information which is paramount for fully exploiting permissioned blockchains as facilitators for business-to-business applications. Additionally, the cross-network invocation of smart contracts under agreed conditions enhances business operations. Blockchain oracles can enable permissioned blockchain interoperability and cross-network transactions in a seamless and private manner. However, the literature has not studied their performance as an interoperability technique between permissioned blockchains. This study describes a performance evaluation of a blockchain oracle-based interoperability system between Hyperledger Fabric and R3 Corda. Using Hyperledger Caliper benchmark tool, we measured the cross-network transaction throughput and compared it with the local transaction throughput. Results of the evaluations showed low throughput measurements of the cross-network transactions between Hyperledger Fabric and Corda. We also observed low throughput measurements of the Corda local transactions. Furthermore, we employed an evaluation framework for blockchain interoperability techniques and conducted an analysis of the blockchain oracle-based interoperability method. We identified performance bottlenecks and recommended solutions to improve the blockchain oracle-based interoperability system and achieve high transaction throughput. [ABSTRACT FROM AUTHOR]

Purpose: This study investigates the multifaceted barriers and facilitators affecting research data sharing across the research data lifecycle. It aims to broaden the understanding of data sharing beyond the publication phase, emphasizing the continuous nature of data sharing from generation to reuse. Design/methodology/approach: Employing a mixed-methods approach, the study integrates the Theory of Planned Behavior, the Technology Acceptance Model, and the Institutional Theory to hypothesize the influence of various factors on data sharing behaviors across the lifecycle. A questionnaire survey and structural equation modeling are utilized to empirically test these hypotheses. Findings: This study identifies critical factors influencing data sharing at different lifecycle stages, including perceived behavioral control, perceived effort, journal and funding agency pressures, subjective norms, perceived risks, resource availability, and perceived benefits. The findings highlight the complex interplay of these factors and their varying impacts at different stages of data sharing. Research limitations/implications: This study illuminates the dynamics of research data sharing, offering insights while recognizing its scope might not capture all disciplinary and cultural nuances. It highlights pathways for stakeholders to bolster data sharing, suggesting a collaborative push towards open science, reflecting on how strategic interventions can bridge existing gaps in practice. Practical implications: This study offers actionable recommendations for policymakers, journals, and institutions to foster a more conducive environment for data sharing, emphasizing the need for support mechanisms at various lifecycle stages. Originality/value: This study contributes to the literature by offering a comprehensive model of the research data lifecycle, providing empirical evidence on the factors influencing data sharing across this continuum. [ABSTRACT FROM AUTHOR]

Purpose: The paper reports the findings of a research project exploring the information experiences of bonsai growers in Australia as an example of a serious leisure pursuit. Design/methodology/approach: The study used phenomenology as a qualitative approach in an interpretive paradigm. The data collection technique was a semi-structured interview with open-ended questions, and 23 volunteers were recruited via a maximum variation sampling strategy. The study employed the Serious Leisure Perspective and Information Experience as its theoretical frameworks. Findings: Bonsai growers rely on three primary sources of information: publications, people, and plants. They use formal and informal publications across various media. They interact with fellow bonsai growers to share experiences and seek advice. The shape and conditions of bonsai trees are sources of embedded information that help them to make informed decisions in their practice. They have a culture of information sharing on many grounds, such as local clubs, online forums, and workshops. Their embodied information manifests in their sophisticated skills of shaping bonsai trees to express the aesthetic principles of this ancient art. Research limitations/implications: The findings are contextual and cannot be generalised. A generalisation of the result needs to be tested in a broader population. Social implications: Engaging in the bonsai hobby often fosters a sense of community among bonsai enthusiasts. Understanding these social connections can contribute to the development of supportive networks and enhance belongingness. Originality/value: The study contributes to understanding the information experiences in serious leisure. It offers new evidence-based insights that can inform the design of information systems and services tailored to the needs of leisure pursuers. [ABSTRACT FROM AUTHOR]

Verifiable outsourced attribute-based encryption (VO-ABE) enables one-to-many data sharing and fine-grained access control under lower trust, making it suitable for cloud or edge systems involving resource-constrained devices. There is no fully outsourced and fully verifiable attribute-based encryption scheme or key-policy VO-ABE scheme. Moreover, the previous VO-ABE schemes require multiple rounds of interaction or high verification costs to support verifiable outsourced key generation and verifiable outsourced encryption. To address these issues, in this paper, we propose an effective key-policy fully outsourced and fully verifiable attribute-based encryption scheme supporting verifiable outsourced key generation, encryption, and decryption simultaneously. We formally define two new properties: outsourced key generation verifiability and outsourced encryption verifiability. Analysis and simulation show that the proposed scheme performs well and is practical. All local computational overheads of the proposed scheme are constant and do not increase with the number of attributes or the complexity of access structures. [ABSTRACT FROM AUTHOR]

Social media apps are being increasingly used by primary school children and this has influenced how they connect and communicate with others. Child use of social media has raised societal concerns about its impact on early development. To gain a deeper understanding of children's experiences with social media, children in grade 5 (N = 28; girls: 17, boys: 11) from Southeast Queensland, Australia, were interviewed about the types of social media apps they use, who they connected with online, and for what purposes. Interviews were videoed, transcribed verbatim, and analysed to map out children's social media networks and explore key themes about their social media experiences with family, friends, and teachers. This study found that all the children used social media to connect with friends, family, and teachers, mainly for the purposes of contacting, chatting, and exchanging information with others. Children's social media use reflected their awareness of staying safe online and capacity to manage risks and be selective about whom they trusted and connected with. Further work is needed to understand how these social media skills emerge in the early school years and how children build their social media networks. [ABSTRACT FROM AUTHOR]

Purpose: Coworking spaces represent a new, rapidly emerging phenomenon. Available empirical literature is sparse and mostly focused on structural elements, whereas the organizational and behavioral dynamics are still largely understudied. This study aims to explore the idea that coworking users' proactivity (more specifically, job crafting behaviors) plays a key role in positively influencing creative performance, and that such a relationship is better understood by examining both the mediating role of work meaningfulness and the moderating role of knowledge sharing. Design/methodology/approach: This study is based on survey data from a relevant sample of users in Italian coworking spaces. A mediated-moderated analysis is used. Findings: The "approach" job crafting behaviors have a significant influence on creative performance, via work meaningfulness, whereas this is not true for "avoidance" job crafting behaviors. Knowledge sharing plays a significant moderating role in the former relationship. Research limitations/implications: The theoretical, practical and social implications discussed help to further the discourse surrounding the relationships between job crafting, creative performance and coworking spaces. This unique work setting enables a variety of value appropriation pathways to be promoted and supported. As such, coworking spaces are also "laboratories" where the future of work organization can be better understood. Originality/value: This study contributes to the existing coworking spaces literature as it is one of the very few that sheds light on users' behaviors, and to the best of the authors' knowledge, the first one to consider job crafting as a relevant variable. It also contributes to the current job crafting literature by helping to clarify why available studies have yielded mixed results in examining the relationship between job crafting and creative performance. [ABSTRACT FROM AUTHOR]

Small and medium-sized firms are increasingly adopting digital technologies to transform themselves. Yet, the ability of top-management teams to embark on strategic transformations depends on entrepreneurial ideas and initiatives that arise across the firm. We conducted a qualitative pre-study of manufacturing companies to understand their challenges in engaging in and implementing digital transformation. The study drew attention to the prevalence of internal secrecy that inhibits knowledge sharing across units and, therefore, complicates the identification and elaboration of customer-centric innovations based on digital data. Building on our initial findings and research, we then developed and tested hypotheses that relate organisational secrecy, competitive pressures, and the range of digital technologies in use to top management's shift in focus towards digital innovation. We find, in particular, that organisational secrecy impeds a shift in top management attention towards those forms of digital innovation that require complex cross-unit coordination. We also found that perceived external pressures from competition were associated with an increase in top management's focus on digital innovation. Our study contributes to the literature on digital transformation and strategy processes more generally by elaborating on how organisational secrecy can hamper strategic renewal. The findings suggest that a culture of openness and transparency can facilitate strategic renewal in established companies. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to examine how knowledge sharing contributes to organizations' ambidexterity, their overall performance and the role of knowledge quality in this relationship. Knowledge sharing is conceptualized based on tacit and explicit dimensions, and ambidexterity is viewed as comprising exploitative and explorative capabilities. Design/methodology/approach: This study uses a cross-sectional survey-based research design and structural equation modeling to test the proposed model of knowledge sharing and knowledge quality in organizational ambidexterity and the related hypotheses. Findings: The results indicate that tacit knowledge sharing has a significant, direct impact on the exploitative and explorative capabilities of the organization and indirectly impacts both dimensions of ambidexterity (i.e. exploitative and explorative) through knowledge quality. In contrast, explicit knowledge sharing does not have a significant impact on knowledge quality and affects only the exploitative extent of ambidexterity. Both exploitative and explorative capabilities significantly impact organizational performance. Originality/value: To the best of the authors' knowledge, this study is the first study to empirically examine the role of knowledge quality in the context of knowledge sharing for ambidexterity, especially within the context of organizations in the United Arab Emirates. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to investigate the effects of board cultural diversity (BCD) and board gender diversity (BGD) of the board of directors on environmental, social and governance (ESG) performance in the European banking sector using resource-based view (RBV) theory. In addition, this study analyses the linkages between BCD and BGD and knowledge sharing on the board of directors to improve ESG performance. Design/methodology/approach: This study selected a sample of European-listed banks covering the period 2021. ESG and diversity variables were collected from Refinitiv Eikon and analysed using the ordinary least squares model. This study was conducted in the European context regulated by Directive 95/2014/EU, which requires sustainability disclosure. The original population was represented by 250 banks; after missing data were excluded, the final sample comprised 96 European-listed banks. Findings: The findings highlight the positive linkages between BGD, BCD and ESG scores in the European banking sector. In addition, the findings highlight that diversity contributes to knowledge sharing by improving ESG performance in a regulated sector. Nonetheless, the combined effect of BGD and BCD negatively impacts ESG performance. Originality/value: To the best of the authors' knowledge, this is the first study to measure and analyse a regulated sector, such as banking, and the relationship between cultural and gender diversity for sharing knowledge under the RBV theory lens in the ESG framework. [ABSTRACT FROM AUTHOR]

We study a common agency problem in which two downstream firms, who are local monopolists and receive private demand signals, offer secret menus of two-part tariff contracts to their common supplier. While direct communication is not possible, they may still exchange their information through signal-contingent menus of vertical contracts. We show that a perfect Bayesian equilibrium exists in which information is transmitted, and downstream firms obtain nearly the first-best industry surplus. The use of both fixed charges and slotting fees is necessary for such a result. Our analysis provides a novel explanation for the use of slotting fees in vertical contracting based on its value as an information transmission device. [ABSTRACT FROM AUTHOR]

This study delves into the transformative potential of integrating big data analysis and information sharing in innovation and entrepreneurship education. Employing a comprehensive methodology encompassing K-Means Clustering, Decision Trees, Apriori Algorithm, and Neural Networks, the research investigates student engagement patterns, influential factors, collaborative relationships, and predictive modelling within educational settings. The findings reveal significant outcomes, with K-Means achieving a clustering precision of 75%, Decision Trees demonstrating an accuracy of 82%, Apriori Algorithm uncovering frequent itemsets with 68% support, and Neural Networks achieving a notable accuracy of 90%. Drawing insights from a diverse range of literature, including studies on big data management, demand prediction models, ecological approaches to entrepreneurship education, qualitative inquiries into startup strategies, applications of ICTs in education, and the impact of virtual gaming on SMEs' growth, the research provides a robust foundation for understanding innovation and entrepreneurship education. This study contributes to both theoretical understanding and practical implications, guiding educators and policymakers in tailoring interventions and strategies to foster an adaptive and effective educational environment.. [ABSTRACT FROM AUTHOR]

Drawing on social exchange theory (SET) and job demand‐resource (JD‐R) theory, the purpose of this study is to examine the role of green knowledge sharing and green group cohesion in the context of green practices and green work engagement. Data analysis of the 392 respondents working in managerial positions at RMG factories in Bangladesh shows that green competency‐building practices have a significant relationship with green work engagement. However, the study has not found any relationship between green performance management practices, green involvement practices, and green work engagement. Nevertheless, the study shows that green knowledge sharing mediates the relationship between green practices and green work engagement. Furthermore, this study's contribution to SET and JD‐R theories is referred to as "green group cohesion" as we have found it to be a significant moderator in the indirect relationship between green competency‐building practices, green performance management practices, green involvement practices, and green work engagement through green knowledge sharing. The findings have implications for the theories and practices that are discussed. [ABSTRACT FROM AUTHOR]

This study targets a fresh produce supply chain that includes a retailer owning private demand information, a supplier who may adopt blockchain, and a 3PL (Third Party Logistics) engaging in freshness keeping. By developing a multi‐stage game model, we study the blockchain adoption strategy and the information‐sharing strategy considering information transmission between the 3PL and the supplier and analyze the interaction of these strategies. We find that under the case of moderate blockchain cost, the retailer could encourage the supplier to adopt blockchain by sharing information strategically. In that case, the retailer would actively share with the supplier and the 3PL for fresh produce with low freshness sensitivity and serious consumer distrust. Otherwise, due to the dominant impact of information transmission, the retailer has to keep private information if consumers are less concerned about freshness, while it has to share information if consumers are more concerned about freshness. [ABSTRACT FROM AUTHOR]

As a critical business activity in the aircraft life cycle, maintenance processes are highly complex and require multidisciplinary knowledge. Knowledge integration and representation oriented toward aircraft maintenance processes are necessary to improve work efficiency. Nonetheless, conventional approaches lack effective unified management, which obstructs domain knowledge sharing and ultimately impedes maintenance work. In this context, this paper proposes a knowledge representation framework based on the benefits of ontology, which formalizes multidisciplinary knowledge for aircraft maintenance processes. An ontology of aircraft maintenance processes is developed for knowledge conceptualization and reuse. On this basis, a domain knowledge extraction model based on the bidirectional encoder representation from transformers (BERT) is constructed to automatically extract entities and relationships related to maintenance processes. With a series of Semantic Web Rule Language (SWRL) rules, a knowledge reasoning method is proposed based on the aircraft maintenance process ontology to mine hidden knowledge. We evaluate the developed ontology and demonstrate the feasibility and usefulness of the proposed knowledge reasoning method in a case study. The results show that the proposed knowledge representation framework provides an effective knowledge formalization method for complex knowledge in aircraft maintenance processes to support work optimization. [ABSTRACT FROM AUTHOR]

Objective Methods Results Conclusion To evaluate the role of clinical exchange programs in postgraduate obgyn training using the International Federation of Gynecology and Obstetrics (FIGO)–World Association of Trainees in Obstetrics and Gynecology (WATOG) One World Exchange (OWE), a clinical exchange program held in France in October 2023, as a case‐study.This was a cross‐sectional study. A 31‐item structured questionnaire designed with Google Forms was electronically distributed to the 51 obgyn postgraduate trainees (OWE fellows) who participated in the OWE, to collect information about the exchange. Collected data was analyzed using IBM Statistical Product and Service Solutions (SPSS) Statistics for Windows.The survey response rate was 68.6%. The mean age of the respondents was 33.0 ± 4.0 years. Majority of the them were females (26, 74.3%), married (19, 54.3%), at least in their third year of training (30, 85.7%) and from Africa (11, 31.4%). During the period of the exchange program, fellows observed various obstetric and gynecologic procedures, including open and minimal access procedures, with more than one‐fifth (8, 22.9%) of them reporting that they were allowed to assist in some of these procedures. The fellows noted salient differences in practice between their exchange hospitals and their home countries. An overwhelming majority (30, 85.7%) of the fellows believed the OWE was beneficial and would positively impact their clinical practices back in their home countries.Clinical exchange programs like the OWE provide valuable benefits in improving the clinical knowledge and skills of postgraduate obgyn trainees. [ABSTRACT FROM AUTHOR]

The issue of data quality has emerged as a critical concern, as low-quality data can impede data sharing, diminish intrinsic value, and result in economic losses. Current research on data quality assessment primarily focuses on four dimensions: intrinsic, contextual, presentational, and accessibility quality, with intrinsic and presentational quality mainly centered on data content, and contextual quality reflecting data usage scenarios. However, existing approaches lack consideration for the behavior of data within specific application scenarios, which encompasses the degree of participation and support of data within a given scenario, offering valuable insights for optimizing resource deployment and business processes. In response, this paper proposes a data contribution assessment method based on maximal sequential patterns of behavior paradigms (DecentralDC). DecentralDC is composed of three steps: (1) mining the maximal sequential patterns of sharing and exchange behavior paradigms; (2) determining the weights of these paradigms; (3) calculating the contribution of sharing and exchange databases combined with data volume. To validate our approach, two sharing and exchange scenarios of different scales are established. The experimental results in two scenarios validate the effectiveness of our method and demonstrate a significant reduction in cumulative regret and regret rate in data pricing due to the introduction of data contribution. Specifically, compared to the most competitive baseline, the improvements of mean average precision in two scenarios are 6% and 8%. The code and simulation scenarios have been open-sourced and are available at https://github.com/seukgcode/DecentralDC. [ABSTRACT FROM AUTHOR]

ABSTRACT Motivation Main Types of Variables Contained Spatial Location and Grain Major Taxa and Level of Measurement Freshwater ecosystems have been heavily impacted by land‐use changes, but data syntheses on these impacts are still limited. Here, we compiled a global database encompassing 241 studies with species abundance data (from multiple biological groups and geographic locations) across sites with different land‐use categories. This compilation will be useful for addressing questions regarding land‐use change and its impact on freshwater biodiversity.The database includes metadata of each study, sites location, sample methods, sample time, land‐use category and abundance of each taxon.The database contains data from across the globe, with 85% of the sites having well‐defined geographical coordinates.The database covers all major freshwater biological groups including algae, macrophytes, zooplankton, macroinvertebrates, fish and amphibians. [ABSTRACT FROM AUTHOR]

Effective conservation practices require addressing the divide between research and implementation. Co‐production, which emphasizes collaboration and diverse knowledge exchange, is increasingly recognized as valuable in conservation to address this challenge, yet empirical insights remain limited. This case study explores using a Community of Practice (CoP) as an avenue for facilitating co‐production in shorebird conservation. Centering researchers and practitioners within implementation initiatives, we evaluate factors enabling a successful CoP and barriers hindering members' experiences. Capacity emerged as the predominant barrier, while the leading factors contributing to CoP success were having a dedicated space to support labor division, relationship building, and informal learning among CoP members. Leveraging our evaluation insights, we offer practical recommendations for structuring a CoP to optimize these benefits and advance the integration of CoPs and co‐production principles in conservation practice. [ABSTRACT FROM AUTHOR]

Survival analysis in medical research has witnessed a growing interest in applying deep learning techniques to model complex, high-dimensional, heterogeneous, incomplete, and censored data. Current methods make assumptions about the relations between data that may not be valid in practice. Therefore, we introduce SAVAE (Survival Analysis Variational Autoencoder). SAVAE, based on Variational Autoencoders, contributes significantly to the field by introducing a tailored Evidence Lower BOund formulation, supporting various parametric distributions for covariates and survival time (if the log-likelihood is differentiable). It offers a general method that demonstrates robustness and stability through different experiments. Our proposal effectively estimates time-to-event, accounting for censoring, covariate interactions, and time-varying risk associations. We validate our model in diverse datasets, including genomic, clinical, and demographic tabular data, with varying levels of censoring. This approach demonstrates competitive performance compared to state-of-the-art techniques, as assessed by the Concordance Index and the Integrated Brier Score. SAVAE also offers an interpretable model that parametrically models covariates and time. Moreover, its generative architecture facilitates further applications such as clustering, data imputation, and synthetic patient data generation through latent space inference from survival data. This approach fosters data sharing and collaboration, improving medical research and personalized patient care. [ABSTRACT FROM AUTHOR]