This study aims to identify emerging topics, themes, and potential areas for applying large language models (LLMs) in supply chain management through data triangulation. This study involved the... Show More

This study aims to identify emerging topics, themes, and potential areas for applying large language models (LLMs) in supply chain management through data triangulation. This study involved the synthesis of 33 published articles and a total of 3421 social media documents, including tweets, posts, expert opinions, and industry reports on utilizing LLMs in supply chain management. By employing BERT models, four core themes were derived: Supply chain optimization, supply chain risk and security management, supply chain knowledge management, and automated contract intelligence, which provides the present status of LLM in the supply chain. The results of this study will empower managers to identify prospective applications and areas for improvement, affording them a comprehensive understanding of the antecedents, decisions, and outcomes detailed in the framework. The insights garnered from this study are highly valuable to both researchers and managers, equipping them to harness the latest advancements in LLM technology and its role within supply chain management.

The study explores the effects of COVID-19 vaccine fake news on social media from the perspective of the elaboration likelihood model (ELM). The research model theorizes that factors of the central... Show More

The study explores the effects of COVID-19 vaccine fake news on social media from the perspective of the elaboration likelihood model (ELM). The research model theorizes that factors of the central route and factors of the peripheral route influence panic vaccination intention through the third-person effect of fake news, personal norm, and the individual's attitude toward panic vaccination (i.e., the vaccination equivalent of “panic buying”). Data were collected via an online survey with 409 valid responses. The study applies partial least squares (PLS) structural equation modeling (SEM) to test the hypotheses. The findings have theoretical and practical implications and provide insights to help reduce the spread of fake news on social media during an outbreak to better ensure that people are not misled by fake news.

In the realm of robotics, the ability to comprehend intricate semantic contexts within diverse environments is paramount for autonomous decision-making and effective human-robot collaboration. This... Show More

In the realm of robotics, the ability to comprehend intricate semantic contexts within diverse environments is paramount for autonomous decision-making and effective human-robot collaboration. This article delves into the realm of enhancing robotic semantic understanding through the fusion of deep learning techniques. This work presents a pioneering approach: integrating several neural network models to analyze robot images, thereby capturing nuanced environmental semantic contexts. The authors augment this analysis with predictive models, enabling the robot to adapt the changing contexts intelligently. Through rigorous experimentation, our model demonstrated a substantial 25% increase in accuracy when compared to conventional methods, showcasing its robustness in real-world applications. This research marks a significant stride toward imbuing robots with sophisticated visual comprehension, paving the way for more seamless human-robot interactions and a myriad of practical applications in the evolving landscape of robotics.

Digital transformation improves the operational efficiency and perceptual capabilities of businesses and creates a foundation for fulfilling ESG responsibilities. The authors use the theories of... Show More

Digital transformation improves the operational efficiency and perceptual capabilities of businesses and creates a foundation for fulfilling ESG responsibilities. The authors use the theories of technological innovation and dynamic capabilities and select a sample of 4054 listed companies with commercial integration of ESG rating data to explore the mechanisms through which digital transformation affects ESG performance. Dynamic capabilities are further divided into innovation changeability (IT), coordination integration capability (CI), and learning absorption capability (LA) to investigate the mediating effects and summarize the causal path of “digital transformation - dynamic capabilities - ESG performance.” The research focuses on the impact of digital technology on ESG performance with the aim of helping businesses utilize technology more effectively to build dual competitive advantages in digitization and ESG.

Digital transformation in supply chain management has garnered significant attention from both industry and academia. Numerous studies have focused on the emerging concept of digital supply chain... Show More

Digital transformation in supply chain management has garnered significant attention from both industry and academia. Numerous studies have focused on the emerging concept of digital supply chain management (DSCM). In this research, the authors present a background and context of DSCM. Furthermore, they conduct a systematic bibliometric analysis encompassing a dataset of 1053 scholarly papers published from 1995 to 2021. During the literature review, various methods including network analysis, document co-citation analysis, author co-citation analysis, and journal co-citation analysis are employed. The results of the study provide an overview of the concept of DSCM and highlight key authors, affiliations, and countries in the field. Additionally, the study examines emerging research topics, including blockchain technology, digital twin, and circular economy, within the context of DSCM. Finally, limitations and potential direction for future studies are noted. The authors hope this research could provide a basic understanding of DSCM for industries and academics.

As the global market continues to evolve and competition escalates, the business environment becomes increasingly competitive. How manufacturing companies improve their competitiveness has always... Show More

As the global market continues to evolve and competition escalates, the business environment becomes increasingly competitive. How manufacturing companies improve their competitiveness has always been a topic of great concern. Service transformation and product innovation are key factors and are considered to be important ways for enterprises to stand out in the market. Traditional service transformation and product innovation processes often face complex problems, including the diversity of customer needs and fierce market competition. This makes it difficult for companies to accurately capture market opportunities, provide personalized solutions, and respond quickly to changes. At the same time, many companies also face problems with product quality control and production efficiency, which further weakens their competitiveness. It is against this background that the importance of computer vision technology has become increasingly prominent.

Governments have embraced platform-based business models, increasingly used in companies, to enhance efficiency, standardize information, and deliver a broader range of information quickly and... Show More

Governments have embraced platform-based business models, increasingly used in companies, to enhance efficiency, standardize information, and deliver a broader range of information quickly and easily. The integration of platform-based e-information services is essential for innovative e-government policies, as it leads to improvements in administrative efficiency and better information quality. A theoretical review of success factors highlights the significance of service efficiency, user satisfaction, and the intention for continuous use. The authors conducted their own survey of Korean citizens using Government 24, an integrated platform for frontline e-services. Their analysis revealed that information and service quality boost user satisfaction, while system and service quality heighten perceived efficiency. Perceived efficiency and satisfaction in platform-based e-services play a crucial role in encouraging users to continue utilizing these services.

In today's dynamic business environment, numerous organizations are turning to cloud ERP implementation to enhance their operational efficiency and maintain uninterrupted business operations.... Show More

In today's dynamic business environment, numerous organizations are turning to cloud ERP implementation to enhance their operational efficiency and maintain uninterrupted business operations. Consequently, the literature has witnessed a surge in research at the intersection of cloud ERP and enterprise resilience (ER) over the past decade. This paper aims to present a systematic literature review (SLR) and the authors contribute to the existing literature by (1) exploring the connection between cloud ERP and ER, (2) analyzing how cloud ERP supports three key elements of ER—readiness, response, and recovery—and the intertwined mediators and moderators, and (3) proposing a conceptual framework at the nexus of cloud ERP and ER. The review concludes with suggestions for fruitful future research. Not only does this SLR carry several theoretical implications for the literature on cloud ERP and its impact on ER but also provides decision-makers with comprehensive insights into how cloud ERP reinforces ER, thereby ensuring the continuity of business operations in the turbulent business landscape.

E-waste is a major global problem linked to the use, and discard of, electronic and electric devices. While the volume of these obsolete devices continues to increase and accumulate, the means and... Show More

E-waste is a major global problem linked to the use, and discard of, electronic and electric devices. While the volume of these obsolete devices continues to increase and accumulate, the means and approaches currently used to reuse, dispose of, recycle, and address this continues to vary widely in terms of availability, effectiveness, and value. The issues relating to e-waste management include those emanating from managerial, environmental, labor, and health perspectives. This article aims to present an overview of the key considerations related to the e-waste dilemma, and also proposes issues, challenges, and solutions to addressing the problem. A focus on the factors and variables affecting e-waste management, together with a global framework of e-waste management methods and strategies, are then followed by recommendations and viable areas for future research.

Aiming at the emergency decision-making problem of major emergencies, this article proposes a large group emergency decision-making (LGEDM) approach with public opinions mining on hesitation fuzzy... Show More

Aiming at the emergency decision-making problem of major emergencies, this article proposes a large group emergency decision-making (LGEDM) approach with public opinions mining on hesitation fuzzy language term set (HFLTS). First, extract keywords that represent general preferences on events from the Weibo platform, classify keywords using the word similarity-based keyword clustering algorithm and identify decision attributes and their weights. Next, define the similarity measure and hesitation fuzzy entropy measure of HFLTS, quantify the decision risk of experts using the risk measurement model, and cluster all experts into several subgroups using the risk metric-based group clustering algorithm. Subsequently, assign clusters' weights on their risk value and size and obtain each cluster's preference matrix by the HIOWA operator. Finally, derive the ranking results of alternatives using the sorting process, and an example of “COVID-19” is presented to verify the rationality and effectiveness of the proposed method.

Given the significant growth potential in households' energy consumption in China, studying household consumption behavior becomes even more valuable. This study explores factors influencing the... Show More

Given the significant growth potential in households' energy consumption in China, studying household consumption behavior becomes even more valuable. This study explores factors influencing the shift in households' energy-saving preferences from habitual energy-saving behavior to consumption-oriented energy-saving behavior, as well as to analyze the potential for using other green alternatives to traditional energy in energy consumption. Empirical results reveal an inverted U-shaped relationship between household income and energy consumption, occurring when energy-saving awareness (ESA) exceeds a critical threshold. Below this threshold, household income is positively correlated with energy consumption. Further analysis indicated that once income exceeds the turning point, households' higher ESA leads to reduced energy consumption, indicating potential for green alternatives in higher-income households. Overall, the study highlights how awareness and income interact to shape energy-saving choices, emphasizing the potential for sustainable energy options in affluent households.

Although shadow banking widely exists in the financial systems of various countries, their definitions vary significantly due to specific economic and financial characteristics. This paper... Show More

Although shadow banking widely exists in the financial systems of various countries, their definitions vary significantly due to specific economic and financial characteristics. This paper classifies Chinese shadow banking into six categories: securities, trust, private lending, banking, fund, and insurance. The AR-GARCH-DCC model is used to measure systemic risk spillover through from an industrial and institutional perspective. The network topology index is employed to analyze risk contagion and further explore influencing factors. Firstly, based on the results of the AR-GARCH-DCC, the estimated dynamic volatility (σ) indicates that shadow banking risk spillover is time-varying, especially in trust and securities. Second, according to the static risk spillover analysis, various institutions play different roles and can transform between risk spillovers and overflowers. Thirdly, eigenvector centrality, leverage, assets, CPI, and macroeconomic prosperity significantly impact shadow banking systemic risk spillover.

Gaining a comprehensive understanding of the energy-saving behaviors (ESB) of college students, who represent the backbone of the future society, is imperative for advancing energy conservation... Show More

Gaining a comprehensive understanding of the energy-saving behaviors (ESB) of college students, who represent the backbone of the future society, is imperative for advancing energy conservation initiatives. This paper employs a PLS-SEM model with 2786 valid responses to investigate the determinants of college students' ESB within the comprehensive action determination model (CADM). The results show that (1) the applicability of CADM, including the theory of planned behavior, norm activation model, and ipsative theory of behavior, was confirmed in the context of college students' ESB. (2) The cultivation of energy-saving habits significantly contributes to the promotion of ESB. (3) The availability of energy-saving access has a positive impact on ESB. (4) Media's energy-saving promotional activities positively influence the energy-saving intention. (5) Energy-saving policy incentives exert a positive moderating influence on the transition from energy-saving intentions to ESB. Based on these empirical findings, this paper provides specific and target policy recommendations.

Digital inclusion (DI) is acknowledged not just as a foundation for economic advancement, but also as a noteworthy catalyst for societal development. This will lead to the reduction of the digital... Show More

Digital inclusion (DI) is acknowledged not just as a foundation for economic advancement, but also as a noteworthy catalyst for societal development. This will lead to the reduction of the digital gap. Nevertheless, the pursuit of achieving DI has not undergone substantial scholarly examination. Through an in-depth analysis of the highly successful TaoBao Village in rural China, we propose a procedural framework illustrating the evolution of digital inclusion. This investigation highlights that the realization of digital inclusion relies on a self-determination mechanism, progressing through three distinct phases. Each phase, in turn, consists of three steps: Establishing motivational drivers, facilitating IS capabilities and extend of digital inclusion. Thus, this article constructs and presents a comprehensive process model of digital inclusion that vividly portrays the implementation of these three pivotal steps to bridge the digital divide.

Although the literature on online travel agencies is growing, it is fragmented and incoherent. Hence, this review aims to synthesize the online travel agencies and suggest directions for future... Show More

Although the literature on online travel agencies is growing, it is fragmented and incoherent. Hence, this review aims to synthesize the online travel agencies and suggest directions for future research on online travel agencies. The review adopted an integrative literature review method by undertaking a review of sixty-nine empirical studies following rigorous protocols. The review presents the research profile, key research themes, gaps, and limitations of the prior literature. Furthermore, the directions of future research as well as the development of a comprehensive research framework, are also presented. There were five major research themes identified based on prior studies. The study findings will facilitate the scholars and practitioners to contemplate the diverse aspects of the online travel agencies ecosystem, contexts of contemporary research and the methodological progressions for future work. The study provides crucial implications, including integrations of online and offline channels, internet word-of-mouth applications and stakeholder identifications.

During the COVID-19 pandemic, remote work became a prevalent practice for organizations, raising concerns about counterproductive behaviors like phubbing and cyberloafing. This research investigates... Show More

During the COVID-19 pandemic, remote work became a prevalent practice for organizations, raising concerns about counterproductive behaviors like phubbing and cyberloafing. This research investigates the dynamics of these behaviors among employees working from home, focusing on social networking needs (SNN), perceptions of others' online behavior, and the pandemic's influence. Data from 222 remote employees were analyzed using structural equation modelling, revealing positive relationships between SNN, perceptions of others' online behavior, pandemic influence, and phubbing. Moreover, the study reveals the moderating effect of WFH on these relationships. These findings highlight the importance for HR practitioners and policymakers to understand and address phubbing and cyberloafing behaviors in remote work settings. This study fills critical research gaps, offering insights to mitigate the negative impacts of remote work policies, thereby enhancing organizational effectiveness and employee well-being. The chapter, therefore, aims to examine whether remote work can succeed amid rising phubbing and cyberloafing. Through analysis, it offers insights for HR and policymakers to manage these challenges effectively.