Search results

This study aims to investigate how digital technology influences the happiness of villagers in traditional ethnic minority communities, with Waipula Village as a focal case study. Recognized as a forerunner in achieving the United Nations Sustainable Development Goals, Waipula Village exemplifies how digital innovation can transform rural communities.

Using an exploratory case study approach, the research reveals that digital technology enhances villagers’ happiness by improving market access, mitigating geographical limitations and fostering entrepreneurship and innovation.

In addition, digital technology has led to new consumption patterns and cultural values, significantly contributing to the village’s sustainable development and overall well-being.

This analysis expands the understanding of the role of digital technology in ethnic minority villages and offers valuable insights for rural revitalization strategies, highlighting its importance in enhancing happiness and preserving cultural heritage.

Economic policy uncertainty has increased around the world since the financial crisis of 2007–2008. While scholars have devoted a lot of time and energy to investigating the impact of economic policy uncertainty (EPU) on firm innovation, they have not reached consistent research conclusions. This study aimed to clarify the above research differences by exploring the impact of EPU on firms' relative exploitative innovation emphasis, so as to provide a more comprehensive and granular understanding of the relationship between EPU and firm innovation.

This study obtained 17,165 firm-year data points from 3,107 listed companies in China. It analyzed the above data with a fixed effects model. In addition, this study used an instrumental variables method to solve potential endogeneity problems.

Based on real options theory and contingency theory, the authors proposed and found that EPU has a significant positive effect on relative exploitative innovation emphasis. In addition, the authors proposed and found that this effect is more pronounced in industries with high technological uncertainty, low competitive intensity, and low state monopolization.

This study is the first to explore why firms prefer exploitative innovation over exploratory innovation from the perspective of EPU. In doing so, this study expands and enriches the EPU literature and the innovation literature. Furthermore, by introducing the moderating role of industry environment, this study deepens the authors' understanding of how complex interactions between industry and institutional environments work together to shape firm strategic choices, and especially firm innovation. Finally, the conclusions of this study have important practical implications for shareholders to take measures to balance exploitative innovation and exploratory innovation to achieve better development.

This study investigates the reciprocity mechanism in value co-creation and clarifies how service providers may effectively trigger customer participation behaviour and boost value co-creation to enhance customer citizenship behaviour, which brings extra benefits for service providers.

By combining equity theory, social exchange theory and co-creation theory, this research proposes a model for the reciprocity mechanism in value co-creation incorporating customer co-creation perception (CCCP) conducting hotel dialogue, access, risk assessment and transparency (DART) activities; customer participation behaviour (CPB – information seeking, information sharing, responsible behaviour and personal interaction); customer citizenship behaviour (CCB – feedback, advocacy, helping and tolerance) and value co-creation in hotels. It also applies script theory to explore how customers’ previous experiences with the hotel may impact the value reciprocity mechanism. The collected data from tourists are analysed using partial least squares structural equation modelling (PLS-SEM).

The results confirm that CCCP drives CPB, value co-creation and CCB. CPB also enhances value co-creation, consequently boosting CCB. Moreover, CPB and value co-creation are the reciprocity mechanisms that mediate CCCP to CCB. Findings also reveal that CPB has a greater impact on value co-creation for first-time customers. In contrast, CCCP has a higher effect on value co-creation for repeat customers.

The proposed model is a managerial tool that assists practitioners in effectively driving customer participation behaviour and improving value co-creation for first-time customers and repeat customers.

This study uncovers the significance of the hospitality service provider’s DART actions in forming customer perceptions and leading customer behaviour towards value co-creation.

Taking tournament and agency theories as theoretical bases, this study aims to examine whether and when industry tournament incentives affect corporate social irresponsibility (CSiR).

This study focuses on publicly listed companies in China from 2003 to 2018, with a total of 26,638 observations across 3,013 firms. Based on this dataset, the study employs a high-dimensional fixed effects model to empirically investigate the impact of industry tournament incentives on CSiR. Additionally, it explores the moderating effects of founder chief executive officers, multiple large shareholders and state-owned enterprises on this relationship.

This study demonstrates that industry tournament incentives have a significant positive impact on CSiR. Additionally, the findings reveal that founder-chief executive officers and multiple large shareholders weaken the above relationships, whereas state-owned enterprises have no moderating effect on the above relationships.

By analyzing and testing the relationship between industry tournament incentives and CSiR for the first time, this study contributes to the literature on industry tournament incentives, the CSiR literature and tournament theory.

Using recent US regional data associated with food system operations, this study aims at building optimization and econometric models to incorporate varying influential factors on food hub location decisions and generate effective facility location solutions.

Mathematical optimization and econometric models have been commonly used to identify hub location decisions, and each is associated with specific strengths to handle uncertainty. This paper develops an optimization model and a hurdle model of the US fresh produce sector to compare the hub location solutions between these two modeling approaches.

Econometric modeling and mathematical optimization are complementary approaches. While there is a divergence between the results of the optimization model and the econometric model, the optimization solution is largely confirmed by the econometric solution. A combination of the results of the two models might lead to improved decision-making.

This study suggests a future direction in which model development can move forward, for example, to explore and expose how to make the existing modeling techniques easier to use and more accessible to decision-makers.

The models and results provide information that is currently limited and is useful to help inform sustainable decisions of various stakeholders interested in the development of regional food systems, regional infrastructure investment and operational strategies for food hubs.

This study sheds light on how the application of complementary modeling approaches improves the effectiveness of facility location solutions. This study offers new perspectives on elaborating key features to encompass facility location issues by applying interdisciplinary approaches.

Growing technology adoption is a significant opportunity for the growth of the mobile gaming market. Rising smartphones allow game developers to reach more players and make more money. The study offers guidance for mobile game developers to increase profits and extend the longevity of their games. It aims to assist in making better marketing policy decisions by providing valuable insights into effective approaches for both early and subsequent market penetration stages.

This paper presents a model for analyzing factors that influence the attraction and retention of mobile gamers, which is based on a literature review of mobile gaming and uses the Bass diffusion model and system dynamics method for modeling and simulation.

In the initial stages of a game release, influencer marketing can be more effective than other marketing tools in increasing visibility. As the game progresses, incorporating referral programs can enhance user engagement, promote the game further, and reduce the number of uninstalls. Influencer marketing can also help the games reach a wider audience, generating more interest, and increasing installations for more tremendous success in the market. However, referral programs can extend the lifespan of games, mainly when gamers are engaged.

The study used new marketing strategies in the mobile game industry to gain insights into the growth and evolution of this industry. Development managers can use insights for effective policies and success. The model aids in understanding the dynamics of mobile games and informed decisions for game developers.

Based on social cognitive theory, this study aims to investigate the influence of perceived overqualification (POQ) on employees’ cyberloafing behavior. The mediating role of moral disengagement and the moderating roles of organizational identification (OID) and organizational decline are further examined.

The authors collected 740 valid questionnaires from participants across multiple organizations. To minimize common method bias (CMB) and enhance the reliability of the findings, data were gathered at two different time points, with a 30-day interval.

POQ positively impacts cyberloafing through the mechanism of moral disengagement. Additionally, the indirect relationship between POQ and cyberloafing via moral disengagement is moderated by OID and organizational decline. Specifically, a higher degree of OID weakens the indirect effect of POQ on cyberloafing, while a higher level of perceived organizational decline strengthens this effect.

While most existing studies on cyberloafing focus on insufficient resources, such as role conflict and workload, the authors propose that surplus personal resources, exemplified by POQ, can also lead to cyberloafing. This research contributes to a broader understanding of antecedents of cyberloafing, highlighting the mechanism of ethical considerations and the interplay between personal qualifications, organizational identification and organizational decline.

The purpose of this study is to provide insight into how innovation that outperforms peers (IOP) affects corporate financial misconduct. To this end, on the basis of fraud triangle theory, we develop a theoretical relationship between the two and argue that IOP has an inhibitory effect on corporate financial misconduct.

On the basis of empirical data from Chinese listed companies from 2007–2023, we conduct a series of tests to examine whether, how and under what circumstances IOP affects corporate financial misconduct.

IOP does inhibit corporate financial misconduct. This result is validated in a series of sensitivity tests. Further analysis shows that IOP inhibits corporate financial misconduct by reducing executives' incentives to engage in fraud, reducing the opportunity under which executives are involved in fraud, and inhibiting executives' tendency to rationalize fraud. In addition, the results of cross-sectional tests show that the negative impact of IOP on corporate financial misconduct is more significant when the firm is a high-tech enterprise, with a greater balance of power among shareholders, lower supplier concentration and greater consumer confidence.

First, by examining the impact of IOP and corporate financial misconduct, we enrich and extend the literature on the antecedents of corporate financial misconduct. Second, by theoretically and empirically validating the relationship between IOP and corporate financial misconduct, we extend the literature related to the economic consequences of IOP. Finally, we extend fraud triangle theory to a wider range of applications and provide new perspectives and strategies for further research and intervention in corporate financial misconduct.

The online healthcare platform (OHP) has become an essential element of the healthcare system, representing a technological shift in the job responsibilities of medical professionals. Drawing on a technology-based job demands–resources (JD-R) model, this study aims to examine how the technological characteristics of OHP affect doctors’ OHP use psychology and behavior.

This empirical study was based on a survey conducted among 423 doctors with OHP use experience. The proposed model underwent assessment through partial least squares structural equation modeling (PLS-SEM) to reveal the effects of technology-based job demands (i.e. technology-based work overload and technology-based work monitoring) and resources (i.e. perceived usefulness, facilitating conditions and IT mindfulness) on doctors’ OHP fatigue and continuance use intention.

Results suggest that technology-based work monitoring, perceived usefulness and facilitation conditions have significant impacts on doctors’ psychological and behavioral responses to using OHP, whereas technology-based work overload and IT mindfulness have a single impact on continuance use intention and fatigue of OHP.

It assists doctors, healthcare administrators, policymakers and technology developers in understanding OHPs’ technological characteristics, enabling them to harness its benefits and mitigate potential challenges. Additionally, given the self-reported cross-sectional data from China, future studies can improve generalizability and adopt experimental methods or longitudinal designs with objective data.

It extends the research on OHP by employing a technology-based JD-R model to explore work attributes and dual effects associated with OHP’s technological characteristics. It also enriches existing research by examining the role of OHP’s technological characteristics in doctors’ psychological and behavioral responses.

China is experiencing an economic revolution focused on reducing carbon emissions (CEs). Various technological research and development (R&D) frameworks also hasten the growth of the digital economy, which then fuels this economic revolution. Nevertheless, several correlation uncertainties in China have been observed between R&D investment and CE reduction with green economic transformation. This phenomenon is attributed to insufficient spatial impact considerations.

Therefore, this article explored the spatial impacts of the digital economy and R&D expenditures regarding environmental quality using Chinese-related panel data between 2012 and 2021. This study uses the Moran I index to test whether there is a spatial relevance between regional carbon emissions in China and assess the digital economic advancement level using the entropy weight approach. In addition, this article analyzes the direct and indirect impacts following the partial differentiation approach, and then creates an interaction term between the digital economy and R&D investment to assess the moderating effect for examining the influence of investing in R&D on reducing CO2 levels of the digital economy.

A positive spatial relevance between the digital economy and CEs was then highlighted from the empirical findings. The digital economy expansion also demonstrated higher local CEs while negatively impacting nearby regions. Notably, the digital economy concurrently lowered and increased local CEs in the Eastern and Central zones, respectively. Overall, a larger R&D investment directly impacted the capacity of the digital economy in decreasing the carbon emission intensity (CEI) at a regional level. An accelerated digital economy expansion and lower CEI were recorded in the Eastern zone owing to more significant R&D investments.

China has gradually shifted its focus from reducing CEs to implementing “dual control of carbon” to achieve the “dual carbon” target. Future studies should then involve additional studies concerning the impact mechanism and path selection related to “dual carbon control.”

Investment in R&D plays a key role in reducing carbon emissions from the digital economy. By fostering innovation and technological advances, R&D investment activities can create more energy-efficient digital infrastructures, develop sustainable practices and optimize resource use. In addition, these R&D investments can facilitate the transition to renewable energy sources, enhance data management systems to minimize waste and promote the adoption of green technologies by businesses and consumers. As the digital economy continues to evolve, prioritizing R&D in this area is critical to achieving long-term sustainable development goals and addressing the pressing challenges of climate change. Stakeholders across industries must therefore recognize the importance of investment in research and development as a strategic approach that not only drives economic growth but also ensures environmental stewardship in an increasingly digital world.

Investments in research and development not only foster innovation and technological progress, but also promote sustainable practices, which can have significant environmental benefits. In addition, they have the potential to create new jobs, improve public health through better air quality and drive economic growth in a manner consistent with climate goals. As society becomes increasingly dependent on digital solutions, it is critical to harness the power of the digital economy to achieve a more sustainable and inclusive society.

Research development investment is critical to all aspects of regulation. Research on R&D investment can provide direction to local governments in formulating digital economy policies and can be beneficial to local governments in considering regional differences in resource availability. The research and technical innovation strategies in the policies for developing the digital economy can substantially expedite carbon neutrality achievement by 2060.