Search results

This study addresses the remarkable research gap in the existing literature on Chat Generative Pre-training Transformer (ChatGPT), which has primarily explored its functional benefits rather than the psychological states of its users. By integrating the self-concept theory and functional theory of attitudes, this study develops a moderated-mediating model to examine the impact of the bandwagon effect on users’ habit formation and subsequent feelings of pride associated with the ChatGPT application.

This study analyzed self-reported survey data from 568 respondents from mainland China using partial least squares structural equation modeling.

The findings reveal that the bandwagon effect indirectly influences users’ pride through the formation of habits related to ChatGPT applications. This study also identifies the boundary condition of social-adjustive attitude, which strengthens both the direct relationship between the bandwagon effect and habit formation and its indirect relationship with pride.

This study contributes to the field by offering a novel perspective on ChatGPT adoption, highlighting the role of self-concept and attitudinal functions in driving users’ intentions to utilize the technology, with a focus on the desire for pride as a motivating factor.

This paper examines the effect of information and communication technology (ICT) hassles on employee job performance and investigates the mediating effect of well-being and the moderating effect of psychosocial safety climate (PSC).

This study was conducted on a sample of 294 employees working remotely during the COVID-19 pandemic. Bootstrap regression and moderated mediation analyses were carried out using the macro PROCESS version 4.2.

The results suggest that ICT hassles negatively affect well-being, which, in turn, impacts job performance. This study also finds that this indirect relationship worsens when employees are in a weak psychosocial safety climate.

As organizations plan to pursue telecommuting on a massive scale in a post-pandemic world, these findings are crucial in informing organizations of the need to create a healthy work environment and to provide optimal virtual working conditions.

As one of the first studies to examine the relationship between ICT hassles and job performance in an unprecedented telecommuting environment, it emphasizes the importance of rebalancing the demands arising from the use of technologies and the resources available to employees.

This paper aims to examine the effects of both transient and chronic loneliness on consumers’ variety-seeking (VS) behavior and to identify the various underlying mechanisms involved.

Four studies were adopted to clarify how transient and chronic loneliness affect consumers’ VS behavior.

Both transient and chronic loneliness promote consumers’ VS behavior. More importantly, the effect of transient loneliness on VS behavior is driven by perceived loss of control, whereas the effect of chronic loneliness on VS behavior is driven by need for uniqueness and sensation-seeking.

To the best of the authors’ knowledge, this research is the first to explore the differential roles of transient and chronic loneliness on VS behavior, which may open new avenues for future research. First, future research could investigate moderators that influence the impacts of transient and chronic loneliness on VS behavior. Second, future research could examine different participant populations and use cognitive neuroscience techniques to further verify the differential roles of these two types of loneliness on VS behavior.

This research contributes to marketing practice by providing practical guidance on how to effectively design different marketing strategies to promote VS for consumers with different types of loneliness. For consumers with transient loneliness, marketers can benefit from a concerted focus on improving consumers’ sense of control. Yet, for consumers with chronic loneliness, marketing strategies that improve consumers’ need for uniqueness will be more effective.

This research contributes to the literature on loneliness and consumer behavior, which has largely overlooked the distinct roles of different types of loneliness (i.e. transient vs chronic loneliness) in influencing consumer behavior. Specifically, this paper conducted a comparative analysis of the impacts of transient and chronic loneliness on consumers’ VS behavior and proposed that transient and chronic loneliness promote consumers’ VS behavior through divergent underlying mechanisms.

The study aims to examine diabetic patients’ switching intentions toward self-monitoring blood glucose devices, incorporating perceived usefulness and perceived ease of use, with switching cost as a moderator.

A self-administered questionnaire was developed using established measuring scales. Data from 321 respondents was collected and analyzed using the partial least squares structural equation modeling approach.

Results indicate that perceived usefulness and perceived ease of use influence switching intention. Switching cost does not moderate the perceived usefulness, perceived ease of use and switching intention. This study reveals important information for healthcare practitioners and device manufacturers.

The significance and originality of this study stem from its pioneering investigation into the switching intentions of diabetic patients regarding self-monitoring glucose devices through the application of the technology acceptance model, thereby addressing a notable gap in the existing literature on diabetes management and technology adoption, which has lacked comprehensive examination of patients’ transition behaviors in this specific context.

A qualitative approach based on grounded theory was utilized, with data collected through 26 semi-structured interviews with social entrepreneurs. Alas’s Triangular Model provided the framework for data analysis and interpretation.

This study explores how Hong Kong social enterprises approached crisis and change management during the COVID-19 pandemic, examining their resilience-building strategies.

The pandemic triggered an existential crisis for many social enterprises, causing severe revenue losses. However, strong leadership and cultures based on social mission enabled resilience. Enterprises demonstrated agility by rapidly transitioning operations online and establishing partnerships. Technology adaptation and social innovation were pivotal to sustaining impact.

As the sample comprises enterprises that survived the pandemic, insights into failed enterprises are lacking. Comparative analysis could illuminate differences in crisis response between successful and unsuccessful cases.

The study’s practical implications suggest that social enterprises should focus on developing flexible crisis management plans, cultivating purposeful leadership, embracing digital transformation, strengthening collaborative networks and prioritizing organizational learning to effectively navigate crises while staying true to their social missions.

Findings demonstrate how shared values and cultures grounded in purpose can anchor organizations amidst upheaval, fostering resilience. This underscores the role of social enterprises in modeling responsiveness to societal needs.

While research has examined social enterprises’ vulnerability in crises, investigation into their crisis management practices is limited. This study enriches understanding of how social enterprises effectively navigate turbulence.

This study aims to review recent conceptualizations and theories of organizational citizenship behaviour (OCB) and its role in the energy transition from Malaysia’s perspective. It examines how factors of OCB, such as individual values, attitudes, motivations, leadership style, organizational culture and policies, affect the energy transition process. The research findings have implications for future studies on energy transition, highlighting the role of OCB in shaping the country’s strategies, addressing challenges and contributing to the transition process.

This study conducts a narrative review of past literature and documents OCB in the context of energy transition; factors influencing OCB (individual, organizational and external factors); OCB in the context of energy transition; and insights into energy transition in Malaysian organizations.

This study finds support in the literature for the impact of OCB on energy transition efforts from the Malaysian perspective. OCB, which extends beyond formal role expectations, can significantly support the effective implementation of energy policies and contribute to organizational objectives. By encouraging OCB within organizations, Malaysia can facilitate the adoption of renewable energy and energy efficiency practices, thereby playing a crucial role in reducing dependence on fossil fuels and advancing the energy transition, instilling hope for a more sustainable future.

This study encourages future research to explore the relationship between discussed variables and their impact on OCB, which is crucial for organizational policies aimed at advancing the energy transition in Malaysia. These findings contribute to the growing body of knowledge on OCB within the context of energy transition and provide a foundation for further related research.

With the accumulation of theoretical research and practical experience in the field of garment production research, it is imperative to methodically analyze and reflect on the achievements that have been made. This review aims to systematically map the academic landscape of research articles on garment production, elucidate the evolutionary trajectory of this discipline, identify emerging research frontiers and provide insights into its prospects.

Based on the Web of Science core database, 307 research articles were systematically analyzed by CiteSpace software. The study employed bibliometric and thematic analyses to offer in-depth insights into the dynamics and evolution of research on garment production.

Results reveal that keyword analysis emphasizes the significance of topics such as apparel assembly line, lean production, circular economy, fuzzy logic, global production networks, social sustainability and supply chain management in garment production research. Citation analysis demonstrates that articles related to environmental impact, supply chain management, production process and production technology constitute the knowledge base and core of garment production research. Eight principal research themes emerge: customized garment production, production technology, quality assurance, equipment, production lines, supply chain management, environmental impact and social and human impact. Future research hotspots will focus more on sustainable, intelligent and digital clothing production.

The findings systematically sort out the hotspots and trends in garment production, establish knowledge structures and display them through intuitive representations. The rich insights set the stage for the development of garment production and provide future guidance for theoretical research.

The complexity of contemporary societal challenges in emerging countries reanimates the necessity of collective action to resolve them. What is required is system change, namely, transformations in policy, practice, power relationships, market dynamics and social customs that underlie social and environmental issues. Technological innovations, paired with intentional social changes, might play a transformative role in this effort. This paper aims to investigate the relationship between the adoption of technologies in social enterprises (SEs) and their contribution to achieving system change. It also addresses the effects of their hybrid nature on this relationship.

The analysis relied on data collected through a survey of the global population of Ashoka fellows, which is largely based in emerging economies. Three models were developed concerning different pathways to achieve system change identified in the theoretical framework. These were tested using Probit regressions.

The investigation confirms that technology can support SEs in navigating complex pathways to achieve system change rather than merely enabling linear scaling operational strategies. The pursuit of economic value creation, in conjunction with a social mission, decreases the ability of SEs to achieve system change. This is because the scaling paths which hardly create revenues are neglected.

The study conceptualises a multifaceted model of system change. It tests the framework empirically to show that SEs can adopt technologies to unleash complex system change processes to generate societal impact, on top of merely demonstrating linear approaches to scaling or replication. The paper questions the capacity of SEs to facilitate system change without appropriate financial support and the inherent tensions between hybridity and the depth of system change dynamics.

This paper explores current teaching and learning practices, benefits and challenges in the implementation of Internationalization at Home (IaH) in higher education.

The study follows a systematic review (SR) protocol in accordance with the PRISMA Statement, covering published research from 2018 to 2022. Through this process, we identified 58 peer-reviewed manuscripts meeting our inclusion criteria. We examined disciplines, locations of IaH, objectives pursued, modality of the IaH implementation, activities and resources used. Benefits and challenges were also analysed.

The SR reveals a growing adoption of IaH, employing various technologies and interdisciplinary methods to foster cross-cultural competence. It emphasizes diverse teaching activities and resources, aligning with digitalization trends. While IaH brings benefits like improved intercultural sensitivity, collaboration and skills development, it also faces challenges in language, technical, personal, pedagogical and organizational aspects, highlighting its complexity.

Our search focused on research from 2018 to 2022, potentially missing earlier trends, and excluded grey literature due to quality concerns. The SR emphasizes online collaborative efforts in IaH, signalling a shift to digital internationalization. Institutions should invest in supporting such practices aided by strategic university alliances. A critical approach to “Global-North” collaborations is urged, promoting geographically inclusive IaH initiatives.

This study responds to the call for critical analysis on concrete examples of IaH. Through a systematic review, it explores recent teaching and learning practices, with a particular focus on the latest technological advancements. The study specifies learning objectives and identifies relevant tools for implementing IaH initiatives.

The objective of this study is to accurately predict the cost of green buildings to provide quantifiable criteria for investment decisions from investors.

This study proposes a hybrid prediction model ML-based for cost prediction of GBPs and obtains prediction parameters (PPs) associated with project characteristics through data mining (DM) techniques. The model integrates a principal component analysis (PCA) method to perform parameter dimensionality reduction (PDR) on a large number of raw variables to provide independent characteristic terms. Moreover, the support vector machine (SVM) algorithm is improved to optimize the prediction results and integrated with parameter dimensionality reduction and cost prediction.

The prediction results show that the mean absolute and relative errors of the hybrid prediction model proposed in this study are equal to 39.78 and 0.02, respectively, which are much lower than those of the traditional SVM model and MRA prediction model. Moreover, the hybrid prediction model with parameter dimensionality reduction also achieved better prediction accuracy (R² = 0.319) and superior prediction accuracy for different cost terms.

Theoretically, the hybrid prediction model developed in this study can reliably predict the cost while accurately capturing the characteristics of GBPs, which is a bold attempt at a comprehensive approach. Practically, this study provides developers with a new ML-based prediction model that is capable of capturing the costs of projects with ambiguous definitions and complex characteristics.