The current literature is becoming increasingly interested in employee management behavior. In this article, we focus on how leader narcissism affects employees' knowledge management behavior, including knowledge sharing, knowledge hiding, and knowledge manipulation. The questionnaire was administered to 260 employees in mainland China to test our hypothesis. Results showed that leader narcissism is significantly related to employee knowledge management behaviors. Specifically, leader narcissism is negatively related to employee knowledge sharing, and is positively related to employee knowledge hiding and manipulating. Employee trust in management mediates these relationships, and power distance orientation moderates the relationship between leader narcissism and employees' trust in management. Our study discusses theoretical and practical implications.
{"title":"Leader Narcissism and Employee Knowledge Management Behavior","authors":"Ruyi Zheng, Gary Chen, Jie Li","doi":"10.4018/jgim.351158","DOIUrl":"https://doi.org/10.4018/jgim.351158","url":null,"abstract":"The current literature is becoming increasingly interested in employee management behavior. In this article, we focus on how leader narcissism affects employees' knowledge management behavior, including knowledge sharing, knowledge hiding, and knowledge manipulation. The questionnaire was administered to 260 employees in mainland China to test our hypothesis. Results showed that leader narcissism is significantly related to employee knowledge management behaviors. Specifically, leader narcissism is negatively related to employee knowledge sharing, and is positively related to employee knowledge hiding and manipulating. Employee trust in management mediates these relationships, and power distance orientation moderates the relationship between leader narcissism and employees' trust in management. Our study discusses theoretical and practical implications.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141922579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Low-carbon travel is widely recognized as an important strategy for reducing energy consumption, mitigating pollution emissions, and alleviating traffic congestion. This study utilizes a sample of 2167 residents from four Chinese cities and employs the Theory of Planned Behavior (TPB) in conjunction with Structural Equation Modeling (SEM) to obtain more information about the determinants of Low-carbon travel behavior (LTB). Key findings include: (1) The extended TPB proved to be highly applicable to the analysis of LTB, with perceived behavioral control (PBC) exhibiting the most influential factor, and the relationship between PBC and LTB is partially mediated. (2) Gender, education, and commuting distance positively affect LTB, while income, private car ownership, and possessing a driver's license demonstrate significant negative effects. (3) Concern for environmental quality significantly enhances LTB. In contrast, perceived traffic congestion significantly reduces LTB. Based on the empirical results, targeted and implementable policy recommendations are proposed.
{"title":"Information Management of Low-Carbon Travel Behavior","authors":"Xia Wang, Boqiang Lin","doi":"10.4018/jgim.349725","DOIUrl":"https://doi.org/10.4018/jgim.349725","url":null,"abstract":"Low-carbon travel is widely recognized as an important strategy for reducing energy consumption, mitigating pollution emissions, and alleviating traffic congestion. This study utilizes a sample of 2167 residents from four Chinese cities and employs the Theory of Planned Behavior (TPB) in conjunction with Structural Equation Modeling (SEM) to obtain more information about the determinants of Low-carbon travel behavior (LTB). Key findings include: (1) The extended TPB proved to be highly applicable to the analysis of LTB, with perceived behavioral control (PBC) exhibiting the most influential factor, and the relationship between PBC and LTB is partially mediated. (2) Gender, education, and commuting distance positively affect LTB, while income, private car ownership, and possessing a driver's license demonstrate significant negative effects. (3) Concern for environmental quality significantly enhances LTB. In contrast, perceived traffic congestion significantly reduces LTB. Based on the empirical results, targeted and implementable policy recommendations are proposed.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141923049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The 3D printing cloud platform (3DPCP) plays a pivotal role in breaking down the information silos between supply and demand, effectively reducing waste through information integration and intelligent production. However, due to the complexity of 3DPCP scheduling in green scenes and the multidynamic information perturbations, unveils problems in traditional task scheduling methods in 3DPCP. These issues manifest as incomplete considerations, subpar green performance, and weak adaptability to dynamic changes. There is an urgent need to design practical methods to realize the multidynamic information perturbations in green scenes within 3DPCP. Therefore, this article first defines the 3DPCP task scheduling problem for multidynamic information perturbation in green scenes. Second, the article proposes a task scheduling model and a heuristic task scheduling strategy to minimize both the average cost and carbon dioxide (CO2) emissions per unit of quality product. Finally, the article validates effectiveness and superiority of the proposed strategy through simulation experiments.
{"title":"Task Scheduling Strategy for 3DPCP Considering Multidynamic Information Perturbation in Green Scene","authors":"JianJia He, Jian Wu, K. Siau","doi":"10.4018/jgim.351156","DOIUrl":"https://doi.org/10.4018/jgim.351156","url":null,"abstract":"The 3D printing cloud platform (3DPCP) plays a pivotal role in breaking down the information silos between supply and demand, effectively reducing waste through information integration and intelligent production. However, due to the complexity of 3DPCP scheduling in green scenes and the multidynamic information perturbations, unveils problems in traditional task scheduling methods in 3DPCP. These issues manifest as incomplete considerations, subpar green performance, and weak adaptability to dynamic changes. There is an urgent need to design practical methods to realize the multidynamic information perturbations in green scenes within 3DPCP. Therefore, this article first defines the 3DPCP task scheduling problem for multidynamic information perturbation in green scenes. Second, the article proposes a task scheduling model and a heuristic task scheduling strategy to minimize both the average cost and carbon dioxide (CO2) emissions per unit of quality product. Finally, the article validates effectiveness and superiority of the proposed strategy through simulation experiments.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141922137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lifang Peng, Suli Wang, Hui Jiang, Kaichao Wang, Gang Li
Governments sometimes release information implicitly, and citizens have to understand their illocutionary acts. The present study examines when and how illocutionary acts encourage citizens to disseminate government information. Based on the Speech Act Theory, Study 1 demonstrates that commissive illocutionary acts make citizens in a low-power distance culture more likely to disseminate information. In contrast, directive illocutionary acts make citizens in a high-power distance culture more likely to disseminate information. Study 2 confirms the underlying mechanism of perceived social exchange relationship by looking at the interaction effects between illocutionary acts and power distance perception in a single cultural setting. By crawling 10,000 government microblogs, Study 3 provides objective evidence for the interaction between illocutionary acts and power distance perception on citizens dissemination behavior of information. Finally, we discuss theoretical implications for government information dissemination, managerial implications, and future research directions.
{"title":"Directive vs. Commissive Illocutionary Acts?","authors":"Lifang Peng, Suli Wang, Hui Jiang, Kaichao Wang, Gang Li","doi":"10.4018/jgim.349961","DOIUrl":"https://doi.org/10.4018/jgim.349961","url":null,"abstract":"Governments sometimes release information implicitly, and citizens have to understand their illocutionary acts. The present study examines when and how illocutionary acts encourage citizens to disseminate government information. Based on the Speech Act Theory, Study 1 demonstrates that commissive illocutionary acts make citizens in a low-power distance culture more likely to disseminate information. In contrast, directive illocutionary acts make citizens in a high-power distance culture more likely to disseminate information. Study 2 confirms the underlying mechanism of perceived social exchange relationship by looking at the interaction effects between illocutionary acts and power distance perception in a single cultural setting. By crawling 10,000 government microblogs, Study 3 provides objective evidence for the interaction between illocutionary acts and power distance perception on citizens dissemination behavior of information. Finally, we discuss theoretical implications for government information dissemination, managerial implications, and future research directions.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We investigate how digital management innovation influences external knowledge search so as to survive the digital environment. Through 201 firms that apply big data technology in China, we find that management innovation positively contributes to both science-oriented and market-oriented external knowledge search. Specifically, digital orientation accentuates the positive relationship between management innovation and both external knowledge searches. The theoretical contribution extends the related research of knowledge management theory, integrating the institutional perspective and rational perspective of management innovation for explaining how an organization establishes new standardized and institutional routines with digital tools, ensuring efficient external knowledge search. Practical contributions indicate that firms should attach importance to management innovation for establishing governance systems that are beneficial to searching outside knowledge and keeping competitive advantage.
{"title":"Management Innovation, Digital Orientation, and External Knowledge Search","authors":"Ruida Li, Fu-Sheng Tsai, Octavio Escobar","doi":"10.4018/jgim.348050","DOIUrl":"https://doi.org/10.4018/jgim.348050","url":null,"abstract":"We investigate how digital management innovation influences external knowledge search so as to survive the digital environment. Through 201 firms that apply big data technology in China, we find that management innovation positively contributes to both science-oriented and market-oriented external knowledge search. Specifically, digital orientation accentuates the positive relationship between management innovation and both external knowledge searches. The theoretical contribution extends the related research of knowledge management theory, integrating the institutional perspective and rational perspective of management innovation for explaining how an organization establishes new standardized and institutional routines with digital tools, ensuring efficient external knowledge search. Practical contributions indicate that firms should attach importance to management innovation for establishing governance systems that are beneficial to searching outside knowledge and keeping competitive advantage.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141810732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Meng Meng, Chenhui Liu, Zheng-Hai Huang, Xing Wang
As an emerging information retrieval technology, mobile visual search (MVS) has considerable development potential and broad market application prospects. Although many studies have explored user behaviors with various information technology artifacts, few have specifically investigated consumers' MVS intentions and behaviors. For filling the gap, this study is to integrate perceived contextual offer (PCO) and implementation intention into the theoretical model of UTAUT2, aiming to explore potential predictors of Chinese consumers' MVS usage intention and behavior. The results showed that consumers' perceptions of contextual offer, performance expectancy, hedonic motivation, and their using habit had significant effects on consumers' MVS usage intention. Habit, usage intention, and facilitating conditions showed significant predictive power for consumers' MVS implementation intention and their further usage behavior. Additionally, habit and usage intention indirectly influenced consumers' MVS usage through the complementary mediation of implementation intention.
{"title":"Consumer Usage of Mobile Visual Search in China","authors":"Meng Meng, Chenhui Liu, Zheng-Hai Huang, Xing Wang","doi":"10.4018/jgim.349731","DOIUrl":"https://doi.org/10.4018/jgim.349731","url":null,"abstract":"As an emerging information retrieval technology, mobile visual search (MVS) has considerable development potential and broad market application prospects. Although many studies have explored user behaviors with various information technology artifacts, few have specifically investigated consumers' MVS intentions and behaviors. For filling the gap, this study is to integrate perceived contextual offer (PCO) and implementation intention into the theoretical model of UTAUT2, aiming to explore potential predictors of Chinese consumers' MVS usage intention and behavior. The results showed that consumers' perceptions of contextual offer, performance expectancy, hedonic motivation, and their using habit had significant effects on consumers' MVS usage intention. Habit, usage intention, and facilitating conditions showed significant predictive power for consumers' MVS implementation intention and their further usage behavior. Additionally, habit and usage intention indirectly influenced consumers' MVS usage through the complementary mediation of implementation intention.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141810565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Achieving Zero-carbonizing electricity growth is a priority decarbonization issue. Multi-pronged policies such as TGC, RPS, and CET have been implemented in the power sector. How to deal with the different pressures generated by the above policies in minimizing costs at the same time is an important issue worth discussing. This paper constructs the framework that includes TGC futures trading, carbon emissions trading, and inter-provincial power trading under the quota system. Specifically, we construct the realization cost function of the RPS target, carbon cap and electricity demand, divide the provinces into buyers and suppliers, optimize the power generation, and distribute the gains based on the Shapley Value method. A simulation analysis of four Chinese provinces showed that each province has gained more benefits and less carbon emissions from inter-province trading, resulting in a win-win situation. Those conclusions provide some insightful references for the future development of power market design and decarbonization.
{"title":"Strategy for Cross-Provincial Power Transition Under Renewable Portfolio Standards and Carbon Cap","authors":"Xiang Xia, Shenghui Chen, Shivam Gupta, Mengyao Chen, Xingdan Lou, Miao Wang","doi":"10.4018/jgim.348965","DOIUrl":"https://doi.org/10.4018/jgim.348965","url":null,"abstract":"Achieving Zero-carbonizing electricity growth is a priority decarbonization issue. Multi-pronged policies such as TGC, RPS, and CET have been implemented in the power sector. How to deal with the different pressures generated by the above policies in minimizing costs at the same time is an important issue worth discussing. This paper constructs the framework that includes TGC futures trading, carbon emissions trading, and inter-provincial power trading under the quota system. Specifically, we construct the realization cost function of the RPS target, carbon cap and electricity demand, divide the provinces into buyers and suppliers, optimize the power generation, and distribute the gains based on the Shapley Value method. A simulation analysis of four Chinese provinces showed that each province has gained more benefits and less carbon emissions from inter-province trading, resulting in a win-win situation. Those conclusions provide some insightful references for the future development of power market design and decarbonization.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141810758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Mutambik, John Lee, A. Almuqrin, Ahmad Alamri, Jeffrey Gauthier
Managers of e-commerce platforms and online retail stores have noticed a connection between the consumer online service experience (COSE) and the inclination to engage in online impulse buying behaviour (OIBB). Previous research has shown that COSE can influence OIBB, but the specific relationships between the emotional and utilitarian dimensions require further investigation. This study aims to fill this gap by examining how attitudinal loyalty serves as a mediator between COSE and OIBB. A survey-based quantitative methodology was employed to gather data on the attitudes and behaviours of 1,504 online shoppers. The collected data were analysed using structural equation modeling, revealing a positive relationship between the examined COSE factors and OIBB, with attitudinal loyalty acting as a mediator. Although the regional biases and cross-sectional nature of the study are limitations, the results are generally applicable. However, future research utilizing a longitudinal approach and a broader geographic sample would provide valuable insights.
{"title":"Mapping the Impact of Consumer Online Service Experience on Online Impulse Buying Behaviour","authors":"I. Mutambik, John Lee, A. Almuqrin, Ahmad Alamri, Jeffrey Gauthier","doi":"10.4018/jgim.347882","DOIUrl":"https://doi.org/10.4018/jgim.347882","url":null,"abstract":"Managers of e-commerce platforms and online retail stores have noticed a connection between the consumer online service experience (COSE) and the inclination to engage in online impulse buying behaviour (OIBB). Previous research has shown that COSE can influence OIBB, but the specific relationships between the emotional and utilitarian dimensions require further investigation. This study aims to fill this gap by examining how attitudinal loyalty serves as a mediator between COSE and OIBB. A survey-based quantitative methodology was employed to gather data on the attitudes and behaviours of 1,504 online shoppers. The collected data were analysed using structural equation modeling, revealing a positive relationship between the examined COSE factors and OIBB, with attitudinal loyalty acting as a mediator. Although the regional biases and cross-sectional nature of the study are limitations, the results are generally applicable. However, future research utilizing a longitudinal approach and a broader geographic sample would provide valuable insights.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141826895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study examines the impact of generative artificial intelligence (GAI) on Chinese enterprises. 320 participants completed electronic surveys, revealing a positive relationship between GAI and corporate performance. Managerial relationships were found to play a crucial role, mediating the influence of GAI on performance. Additionally, the speed of technological change in the industry was identified as a moderator, highlighting the dynamic nature of GAI's impact on managerial relationships and firm performance. These findings underscore the strategic importance of GAI in cultivating managerial relationships and improving enterprise performance, deepening our understanding of the integration of advanced AI technologies and management practices in the Chinese market. Practical implications are offered for decision-makers in technology-intensive industries, providing valuable insights for leveraging GAI to gain a competitive edge and achieve sustainable growth in a rapidly evolving technological landscape.
本研究探讨了生成式人工智能（GAI）对中国企业的影响。320 名参与者完成了电子调查，结果显示 GAI 与企业绩效之间存在正相关关系。研究发现，管理者关系在 GAI 对绩效的影响中起着至关重要的中介作用。此外，行业技术变革的速度也被认为是一个调节因素，突出了 GAI 对管理关系和企业绩效影响的动态性质。这些发现强调了 GAI 在培养管理关系和提高企业绩效方面的战略重要性，加深了我们对先进人工智能技术与中国市场管理实践相结合的理解。研究为技术密集型行业的决策者提供了实际启示，为他们在快速发展的技术环境中利用 GAI 获得竞争优势和实现可持续增长提供了宝贵的见解。
{"title":"Impact of Generative AI on Enterprise Performance in China","authors":"Jing Ye, Shuyang Wang, Sang-Bing Tsai","doi":"10.4018/jgim.347501","DOIUrl":"https://doi.org/10.4018/jgim.347501","url":null,"abstract":"This study examines the impact of generative artificial intelligence (GAI) on Chinese enterprises. 320 participants completed electronic surveys, revealing a positive relationship between GAI and corporate performance. Managerial relationships were found to play a crucial role, mediating the influence of GAI on performance. Additionally, the speed of technological change in the industry was identified as a moderator, highlighting the dynamic nature of GAI's impact on managerial relationships and firm performance. These findings underscore the strategic importance of GAI in cultivating managerial relationships and improving enterprise performance, deepening our understanding of the integration of advanced AI technologies and management practices in the Chinese market. Practical implications are offered for decision-makers in technology-intensive industries, providing valuable insights for leveraging GAI to gain a competitive edge and achieve sustainable growth in a rapidly evolving technological landscape.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141829027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes management applications enable diabetes self-management in a more convenient and cost-effective manner. This study develops a push–pull–mooring model in order to understand patient-switching intentions to the conventional offline and the novel mobile diabetes management. Data collected from 412 adult patients with diabetes in China are analyzed to test the proposed hypotheses. The results show that push effects and pull effects have significantly positive effects on switching intention. Mooring effects negatively affect switching behavior. Meanwhile, the moderating effects of all three mooring factors (switching cost, offline habit, and private risk) on the relationship between both push-switching intentions and pull-switching intentions are also detected. These findings contribute to a deeper understanding of patient switching intentions towards diabetes management applications and, accordingly, can help marketers, healthcare providers, and health policymakers develop and appropriate their future marketing and administrative strategies.
{"title":"Adoption of Mobile Health Applications for Diabetes Management From a Push–Pull–Mooring Perspective","authors":"Jingrong Zhu, Meng Gu, Jinlin Li, Yi Cui","doi":"10.4018/jgim.347514","DOIUrl":"https://doi.org/10.4018/jgim.347514","url":null,"abstract":"Diabetes management applications enable diabetes self-management in a more convenient and cost-effective manner. This study develops a push–pull–mooring model in order to understand patient-switching intentions to the conventional offline and the novel mobile diabetes management. Data collected from 412 adult patients with diabetes in China are analyzed to test the proposed hypotheses. The results show that push effects and pull effects have significantly positive effects on switching intention. Mooring effects negatively affect switching behavior. Meanwhile, the moderating effects of all three mooring factors (switching cost, offline habit, and private risk) on the relationship between both push-switching intentions and pull-switching intentions are also detected. These findings contribute to a deeper understanding of patient switching intentions towards diabetes management applications and, accordingly, can help marketers, healthcare providers, and health policymakers develop and appropriate their future marketing and administrative strategies.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":null,"pages":null},"PeriodicalIF":4.5,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141828689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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