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Abstract Despite the evident advantages of electronic health services (eHS), there is a noticeable opposition to their acceptance, which has raised a crucial question about why people, particularly in developing nations, oppose the acceptance of eHS. This study was designed to obtain a comprehensive understanding of the factors that influence the rigid opposition to eHS by integrating two theoretical models: the Stimulus-Organism-Response theory and the Theory of Planned Behavior. In our detailed survey, 543 respondents over 18 years old from various regions of Nigeria participated. We evaluated the proposed model using partial least squares structural equation modeling (PLS-SEM). The findings indicated that lower health literacy was associated with a greater opposition to using eHS. In addition, communication and choice overload and perceived risk contributed to a negative attitude toward eHS. Subjective norms played a significant role in influencing the intention not to use eHS, which highlights social pressure’s effect. Further, a greater perception of behavioral control reduced the intention not to use eHS. Ultimately, the intention not to use eHS affected eHS rejection behavior significantly, which makes resistance to it a substantial problem. This research unveils factors that contribute to this behavior and provides insights for policymakers in the health field, with the goal to improve people’s acceptance of eHS. Further research is recommended in different geographical samples and contexts to gain a better understanding of the factors related to eHS rejection behavior.

China's digital economy has made amazing achievements, which brings deep impacts on enterprise innovation. Based on unbalance panel dataset covering more than two thousand manufacturing listed companies in A-stock market of China during the 2011 to 2018 period, this paper employs two-way fixed effects (TWFE) model to examine the effects of attention to digital economy on enterprise innovation. The primary explanatory variable in this research is attention degree that enterprises pay to the digital economy measured by Python technology and text analysis. Additionally, the intermediate effect model is adopted to check the underlying mechanisms of cost control in enterprises, which is also impacted by the digital economy. Several novel findings emerge. First, the number of patent applications increase as enterprises pay more attention to the digital economy. Digital economy has positive impacts on different innovation processes, not only promotes invention, but also promotes appearance design. Second, digital technology and business model as two aspects of digital economy have different effects on innovation. The attention to digital technology has positive impacts on invention patents and design patents, while business model only has a positive impact on design patents. Third, enterprises that pay attention to the digital economy are more likely to increase their R&D expenditure and decrease their sales and finance expenses, which encourages the innovation output. This paper explains these findings in the context of China and makes some specific suggestions for enterprises to promote digital transformation and innovation.

Globally, small and medium-sized enterprises (SMEs) compete and work on their sustainability in order to survive and thrive. SMEs rely only on their internal strength, and this strength lies mainly in their employees. Maintaining employees and their engagement increases productivity not only in terms of employee performance but also in terms of organizational performance. Based on social bond theory, the link between leaders and employees empowers the employees; in this context, the present research addresses how SMEs’ potential effectiveness is derived from the employees when leadership plays its role efficiently and promotes voluntary work among employees. Using a sample of 405 employees from Pakistani SMEs, this paper assesses the effect on them of organizational citizenship behavior and transformational leadership, in terms of engaging them in voluntary work that ultimately improves performance; this helps SMEs flourish domestically and internationally. The present research also expands the literature by examining the mediating effect of organizational citizenship behavior and provides new directions for researchers to study transformational leadership and organizational citizenship behavior.

As an important driving force for economic growth, transportation infrastructure can effectively integrate regional resources, deepen regional cooperation, and promote the rational utilization of resources. The cross-regional connectivity of transportation infrastructure makes its spatial spillover effect more prominent. In this article, the entropy weight method is used to construct a comprehensive index reflecting the traffic infrastructure of 41 prefecture-level cities in the Yangtze River Delta, and the spatial distribution characteristics are analyzed. Based on three spatial weight matrices, the spatial Durbin optimization model is used to investigate the spatial effect of transportation infrastructure on economic growth in the Yangtze River Delta. The results show that the regional transportation infrastructure and economic growth have significant spatial agglomeration characteristics and that the development of eastern cities is better. The transportation infrastructure of each city not only drives its own economic growth but also has a positive spatial spillover effect on the economic growth of adjacent areas. In order to achieve high-quality and integrated development in transportation, and to narrow the gap of transportation development in the Yangtze River Delta, we recommend that the spatial spillover effect of the transportation infrastructure on economic construction should be given full consideration.

BackgroundCoronavirus has spread to almost every country since its emergence in Wuhan, China and countries have been adopted an array of measures to control the rapid spread of the epidemic. Here, we aimed to assess the person's knowledge, attitude and practices (KAP) toward the COVID-19 epidemic in Southeast and South Asia applying the mixed study design (cross-sectional and systematic review).MethodsIn the cross-sectional study, 743 respondents' socio-demographic and KAP-related information was collected through an online population-based survey from the Malaysian population. In the systematic review, the database PubMed, Web of Science and Google Scholar search engine were searched and related published articles from South and Southeast Asia were included. Frequency distribution, Chi-square association test and binary logistic regression were fitted using cross-sectional data whereas random effect model and study bias were performed in meta-analysis. We used 95% confidence interval and P

Increasing globalization and rapid digitization across industries have led to greater international competition. Furthermore, the emergence of new innovation has created both challenges and opportunities for small and medium-sized enterprises (SMEs). SMEs have recently been attracted to social media applications to reach a larger audience, improve their relationship with potential customers, and retain existing customers. However, the scant focus has been devoted to comprehensively understanding the adoption of social media in the SME context in developing countries. This study investigates the effects of technological-organizational-environmental (TOE) factors on social media adoption and its effect on SME performance. Data was collected by generating online survey link. SmartPLS 3.3 was used for the path analysis of 381 SMEs. The findings revealed a significant effect of relative advantage, cost-effectiveness, compatibility, interactivity (technological), entrepreneurial orientation (organizational), and customer pressure (environmental) factors, and an insignificant effect of top management support (organizational) and competitive pressure (environmental) determinants on social media adoption. The study found a significant influence of social media on SME performance. This paper offers several implications for decision-makers, policy-makers, and scholars interested in social media and its use. It builds an empirical, integrated framework for SMEs in developing countries.

A common perception is lowering the environmental consequences of firms’ supply chain activities is a costly idea that poses a challenge to the corporate world. This study aimed to examine the relationship between green supply chain management (GSCM) and corporate performance among listed firms in Pakistan, using the general panel method of moments (GMM) and ANOVA techniques. At the same time, the Granger causality technique provides robust results. The study focused on manufacturing firms, covering periods from 2009 to 2020. The study engaged a modified balanced scorecard framework to adopt five metrics of corporate performance, namely, gross profit ratio, net profit ratio, customer dimension, learning growth dimension, and efficiency dimension. The study incorporated the two measures of the GSCM initiative and two control variables. The findings from the panel GMM estimates reveal that GSCM positively and negatively impacted the five corporate performance metrics explored. ANOVA results indicate significant differences in customer satisfaction, profitability, and efficiency performance metrics among the top and low GSCM practicing corporations. On the other hand, Granger causality results specify a moderate causal association between GSCM implementation and firm performance in Pakistan. Implying that poor GSCM practice may not yield the expected benefits, instead, conscientious efforts should be put in place to ensure that practicing GSCM initiative should be effectively carried out.

Based on the logistics performance index proposed by the World Bank, this study uses the entropy method to construct the green logistics performance index and empirically analyzes the impact of the green logistics performance of Regional Comprehensive Economic Partnership (RCEP) countries on China’s export trade using the expanded trade gravity model. The results show that the green logistics performance of RCEP countries can significantly promote China’s export trade to RCEP countries, and various measures to improve green logistics performance have different impacts on China’s export trade. The order of influence degree is the efficiency of a customs clearance procedure, the convenience of arranging freight with a competitive price, the timeliness of cargo transportation, the ability and quality of logistics service, and the intensity of CO2 and N2O emission. To promote China’s export trade, we should give full play to the functions of the customs of various countries and improve the efficiency of regulatory procedures. The regression results reveal that GLPI has a significant and positive impact on export trade RCEP countries, as indicated by the coefficient value of 2.887 at a 1% level of significance. The component factors of GLPI also positively and significantly influence the export trade, but carbon emissions and nitrogen emissions proved to be negative. This study establish with RCEP countries, promote the layout of logistics transport routes among RCEP members, and enhance the popularity of green logistics services; Give full play to the positive role of regional economic organizations and mechanisms, and promote green logistics cooperation between RCEP member countries with high and low GLPI; Through logistics planning, logistics policy and advanced low-carbon logistics technology, promote sustainable development of green logistics.

Exploring the co-benefits of low-carbon tech-innovation in response to climate change on haze pollution is an important foundation for China’s ecological construction, and also a key path to the common goal of carbon and haze reduction. Based on the STIRPAT model and EKC hypothesis, the dynamic spatial Durbin model (SDM) is constructed to empirically analyze the co-benefits and the mechanism of low-carbon tech-innovation on haze pollution in 30 Chinese provinces from 2006 to 2018. The results show that 1) haze pollution in different regions of China shows significant temporal and spatial correlation. 2) China’s low-carbon tech-innovation brings the co-benefits of haze pollution suppression and long-term positive externalities between regions. 3) Environmental policy and industrial structure play a moderating and mediating role, respectively, the former produces the “innovation offset” effect. 4) Both types of low-carbon tech-innovation can suppress haze pollution, but gray tech-innovation shows better haze control ability and cross-regional diffusion ability. Therefore, a long-term mechanism for haze control and joint prevention and control should be established to prevent the rebound and agglomeration of haze, and balance the development of different types of low-carbon technologies to achieve coordinated control of carbon emissions and haze.

The development of urban resilience is inseparable from the construction of urban infrastructure. As an important lifeline of the city, transportation infrastructure is an important part of improving urban resilience. Studying the coordinated development degree of urban resilience and transportation infrastructure level is related to the future development of the city. On the basis of measuring the urban resilience and transportation infrastructure level in the Yangtze River Delta, this study uses the coupling coordination model and spatial autocorrelation model to explore the spatiotemporal evolution trend of the coupling coordination between urban resilience and transportation infrastructure level. The results show that first, the average development levels of urban resilience and transportation infrastructure are at the middle and lower levels, showing a spatial pattern of “high in the southeast and low in the northwest.” Second, the degree of coupling coordination fluctuates and rises and is in the transition stage from mild imbalance to primary coordination. Finally, the degree of coupling coordination is spatially positively autocorrelated, and the degree of agglomeration shows a stable development trend, but the difference of coordinated agglomeration between cities is expanding. To enhance the security and sustainable competitiveness of the Yangtze River Delta, this study argues that it is urgent to establish the concept of resilient urban development and promote the integration of urban agglomeration transportation infrastructure to promote the coordinated development of urban safety systems and infrastructure. Suggestions were recommended to efficiently improve the urban resilience and transportation infrastructure level in the Yangtze River Delta.

Undoubtedly, the internet has become the most convenient and efficient communication and service delivery channel adopted by most government agencies, referred to as eGovernment. This study explores how eGovernment efficiency influences users’ subjective wellbeing (SWB), using trust as a covert stimulus with the capacity to alter individuals’ overt behavior (utilization). Covert and overt stimuli act as significant factors influencing the relationship between citizens and the online environment, moderated by socio-demographic characteristics. Using situation–organism–behavior–consequence theory, we propose a research model consisting of online environment eGovernment efficiency (the situation) influencing trust development (the organism), which in turn influences utilization (the behavior), generating an impact on an individuals’ SWB (the consequence). We followed the structural equation modeling (SEM) approach to analyze the data survey N = 300, using Amos statistical techniques. Results reveal that the correlation between eGovernment efficiency and trust is positive and strong, trust and utilization is positive and moderate, and the correlation between utilization and SWB is positive and very strong. Stepwise regression analysis reveals that the control variables affect the relationship between eGovernment efficiency and trust. In the regression model: the highest education level explained 36% of the variance (model 1); adding age increased the variance explained to 39% (in model 2), and adding internet use frequency increased the variance explained to 41% (model 3). This study develops theoretical concepts of eGovernment use and how it affects citizens by indicating the psychological and behavioral situations as antecedents and mediators influencing SWB. It also provides practical suggestions for improving systems to correlate users’ feelings and behavior patterns to motivate trusting behavior, positively impacting users’ SWB to benefit citizens effectively.

Social entrepreneurship orientation (SEO) is a behavioral construct of social entrepreneurship (SE); therefore, we examined the influence of SEO of the organization on social and financial performance. A random sample of 810 employees was drawn from social enterprises of Pakistan during the COVID-19 pandemic. Although increasing research focuses on SE, the discipline continues to disintegrate, and this has led to appeals for a careful investigation of the associations of firms’ SE. In the recent decade, “social entrepreneurship” has earned its importance as a segment of entrepreneurship. Instead of mixed activity, firms are more likely to engage in either for-profit or non-profit activities. The causes for and consequences of this conduct has been mainly studied using objective measures of SEO, social performance, and financial performance, with little attention paid to the subjective experiences of social enterprises. We rely on the theory of stakeholder and mixed structuring to postulate that social performance intermediates the SEO-financial performance relation. By assessing a sample of 810 employees from active enterprises, we discover that social performance mediates positively and partially between SEO and financial performance, and both direct and indirect paths are in the same direction and significant. Our findings exhibit that social performance variance explained 74% of the mediating role, and the remaining 26% of the effect is because of SEO. We consider the functions by which an SEO influences enterprise performance and delivers more prominent understanding into multiple spectrums of performance. We discuss the prospective suggestions of our research and foster an encouraging pathway for more enquiry on the SEO paradigm. The study adds contribution to the literature, which has not been testified before on hybrid firms. SEO is a newly defined construct and requires more prospective research. This research gives the researchers/scholars new directions to address related disciplines and further explore this domain.

The growth in social media use has given rise to concerns about the impacts it may have on users' psychological well-being. This paper's main objective is to shed light on the effect of social media use on psychological well-being. Building on contributions from various fields in the literature, it provides a more comprehensive study of the phenomenon by considering a set of mediators, including social capital types (i.e., bonding social capital and bridging social capital), social isolation, and smartphone addiction. The paper includes a quantitative study of 940 social media users from Mexico, using structural equation modeling (SEM) to test the proposed hypotheses. The findings point to an overall positive indirect impact of social media usage on psychological well-being, mainly due to the positive effect of bonding and bridging social capital. The empirical model's explanatory power is 45.1%. This paper provides empirical evidence and robust statistical analysis that demonstrates both positive and negative effects coexist, helping to reconcile the inconsistencies found so far in the literature.

In recent years, there has been an escalation in cases of cyber violence, which has had a chilling effect on users' behavior toward social media sites. This article explores the causes behind cyber violence and provides empirical data for developing means for effective prevention. Using elements of the stimulus–organism–response theory, we constructed a model of cyber-violence behavior. A closed-ended questionnaire was administered to collect data through an online survey, which results in 531 valid responses. A proposed model was tested using partial least squares structural equation modeling using SmartPLS 3.0, v (3.2.8). Research findings show that information inequality is a strong external stimulus with a significant positive impact on digital distrust and negative emotion. However, the effects of information overload on digital distrust and the adverse effects of communication overload on negative emotions should not be ignored. Both digital distrust and negative emotions have significant positive impacts on cyber violence and cumulatively represent 11.5% changes in cyber violence. Furthermore, information overload, communication overload, information inequality, and digital distrust show a 27.1% change in negative emotions. This study also presents evidence for competitive mediation of digital distrust by information overload, information inequality, and cyber violence. The results of this study have implications for individual practitioners and scholars, for organizations, and at the governmental level regarding cyber-violence behavior. To test our hypotheses, we have constructed an empirical, multidimensional model, including the role of specific mediators in creating relationships.

The increase of social media (SM) has led to continuous deviations in how day-to-day entrepreneurial activities can be carried out. Additionally, studies devoted to SM entrepreneurship and SM are relatively limited and fragmented in their focus. However there is growing interest from scholars, practitioners and academia for upcoming studies and exploration within small and medium-sized enterprises (SMEs) context. This research explores the impact of entrepreneurial orientation (EO) on SM adoption and SME performance in developing countries. We employed the resource-based view (RBV) as the foundation for developing the conceptual framework The present study employed a closed-ended questionnaire to collect data from SMEs located in Pakistan. Partial-least-squares-structural equation-modeling (PLS-SEM) was utilized for the analysis of 423 responses. The results proved a direct positive link between EO-SMEs performance, EO-SM adoption, SM adoption-SMEs performance, innovation capabilities (IC), and SME performance. Partial mediation was found between EO and SME performance, and the significant moderation effect of IC was found between SM adoption and SME performance. This paper has implications for practitioners and researchers regarding SM adoption in the SMEs. It builds an empirical, multi-dimensional hypothesized model, including mediating and moderating roles affecting the relationships.

This paper aims to investigate the relationship between antecedents of trust in online shopping and purchase intention. Specifically, it examines the relationship between perceived service quality, perceived website quality, and perceived reputation, as well as the mediating role of trust in online shopping and the moderating role of perceived risk between trust and online purchase intention. An online survey was used to collect data (356 valid responses) and SmartPLS structural equation modelling (PLS-SEM) was employed to hypothesize a model. Data were collected from September to December 2019. Results suggest the moderating role of perceived risk over trust in online shopping and purchase intention. The slope for the relationship between trust in online shopping and purchase intention is moderated by perceived risk, showing that the relationship becomes stronger when perceived risk is high. Trust significantly mediates the relationship between perceived service quality, website quality reputation, and online purchase intention. This work furthers web-store decision makers’ understanding of the significant influence of trust and its mediating impact on online shopping and demonstrates how an increase in trust decreases the intensity of the impact of perceived risk on online purchase intention. To increase the number of sales and decrease the intensity of risk, companies must increase the level of trust, which mitigates risk and increases customer bonding with companies. As there is no consensus on the mediating role of trust in online shopping and the moderating role of perceived risk, this paper aims to fill this gap in the literature.

This study investigates the impact of transformational leadership on employee retention in small- and medium-sized enterprises (SMEs) and probes the mediating role of organizational citizenship behavior (OCB) and the moderating role of communication. Data were collected using convenience sampling from 505 employees of SMEs. A Smart PLS structural equation modeling (PLS-SEM) was used to estimate the various relationships. The findings of the study reveal a positive and significant relationship between transformational leadership and OCB. Similarly, this study finds a positive and significant relationship in OCB and employee retention. In addition, OCB had a positive mediating effect on the relationship between transformational leadership and employee retention. Furthermore, communication positively moderates the transformational leadership– OCB and OCB–employee retention relationships. Leaders at SMEs should implement the traits of transformational leadership such as developing a compelling vision for employees, focusing on goal achievement, having problem-solving techniques, having a sense of purpose, and spending time on the training and development of the team to enhance OCB and employee retention.

This study investigates the relationship between supervisory behavior, conflict management strategies, and sustainable employee performance and inquires the mediating effect of conflict management strategies. Data were collected from the SMEs of the manufacturing industry of Pakistan. The significance of the model was assessed using the PLS-SEM (structural equation modeling). The findings of the study revealed a positive and significant relationship between supervisory behavior and sustainable employee behavior. Similarly, conflict management strategies had a positive effect on the relationship between supervisory behavior and sustainable employee behavior. This study adds in the current literature of supervisory behavior as a critical predictor of sustainable employee performance in two ways. Firstly, this study validates Conflict management strategies as an influential mediator between the relationship of supervisory behavior and sustainable employee performance. Secondly, this study provides substantial practical implications for managers at SMEs to enhance sustainable employee performance through supervisory behavior, stimulated by conflict management strategies. This study is based on cross-sectional data; more longitudinal studies can further strengthen the generalizability of relationships between the constructs. The study adds in the current literature of PLS-SEM as an assessment model for direct and mediation relationships.