International Journal of Information Management Data Insights最新文献

{"title":"The interplay of virtualisation, work design, and business process management: A mixed-methods study","authors":"Luke Bartlett ,&nbsp;Muhammad Ashad Kabir ,&nbsp;Jun Han","doi":"10.1016/j.jjimei.2025.100345","DOIUrl":"10.1016/j.jjimei.2025.100345","url":null,"abstract":"<div><div>Business Process Management (BPM) has emerged as a fundamental aspect of modern business, revolutionising task execution and operational efficiency. This study explored the relationship between virtualisation and work design as well as their impact on BPM system design. An experiment was established where two simulated BPM systems were given to users to operate, one taking advantage of virtualisation and work design, the other not. A mixed method approach involving both quantitative and qualitative approaches was applied to system and usage data collected from these systems as well as a user survey. The analysis illustrates the potential significance of integrating virtualisation and work design in BPM systems. We provide a reflective discussion linking theoretical understanding with empirical evidence. We found that both components not only enhanced the performance and effectiveness of BPM systems, but also improved flexibility, scalability, and user experience. The data supports that a relationship between virtualised resources and work design exists when incorporated into BPM system design. Further, it provides valuable insights into how these elements interact and impact each other. The findings in this study contribute to building a case that establishes the effect of virtualisation and work design on the usability of BPM systems. These findings have very real practical applications that can be applied to existing BPM systems as well as the architecture of future systems. A number of the recommendations made as a result of this research have been applied to commercially available BPM systems.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100345"},"PeriodicalIF":0.0,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144168376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impacts of e-RLSQ on repurchase intention in Vietnam’s e-commerce market: The mediating role of customer satisfaction and trust","authors":"Anh Duc Do ,&nbsp;Dieu Linh Ha ,&nbsp;Minh Trang Pham ,&nbsp;Mai Anh Thi Khuat ,&nbsp;Van Anh Thi Le ,&nbsp;Dieu Ngoc Dieu Nguyen ,&nbsp;Toan Quoc La","doi":"10.1016/j.jjimei.2025.100346","DOIUrl":"10.1016/j.jjimei.2025.100346","url":null,"abstract":"<div><div>In the competitive e-commerce landscape, effective product returns management is crucial for customer retention. This study investigate the impact of electronic reverse logistics service quality (e-RLSQ) on repurchase intention, emphasizing the mediating roles of customer satisfaction and trust in Vietnam’s e-commerce market. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), it explores the relationships between e-RLSQ dimensions, customer perceptions, and repurchase behavior. The findings reveal that Information Quality (INF) and Convenience (CON) significantly enhance customer satisfaction, while Remedies (REMD) and INF foster trust. Both satisfaction and trust mediate the relationship between e-RLSQ and repurchase intention, with satisfaction exerting a stronger influence. These insights highlight the importance of optimizing return processes and ensuring transparent communication to foster long-term customer loyalty. This study contributes to the limited literature on e-RLSQ in emerging markets and provide strategic implications for e-commerce platforms to enhance service quality and customer retention.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 2","pages":"Article 100346"},"PeriodicalIF":0.0,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital transformation in the real estate industry: A systematic literature review of current technologies, benefits, and challenges","authors":"Basheer Al-haimi ,&nbsp;Haliyana Khalid ,&nbsp;Nor Hidayati Zakaria ,&nbsp;Tuti Haryati Jasimin","doi":"10.1016/j.jjimei.2025.100340","DOIUrl":"10.1016/j.jjimei.2025.100340","url":null,"abstract":"<div><div>The digital transformation of the real estate sector constitutes a pivotal and dynamic field of inquiry as emergent technologies incessantly alter conventional methodologies. This systematic literature review evaluates the integration, utilization, and ramifications of significant digital transformation technologies within the real estate sector, with a particular focus on artificial intelligence (AI), the Internet of Things (IoT), blockchain technology, augmented reality (AR), virtual reality (VR), and digital twins. Employing the PRISMA methodology, an exhaustive search across four principal academic databases yielded 36 studies that provide a solid foundation for comprehensive analysis. This review elucidates how these technologies fundamentally restructure real estate operations, encompassing property management, investment evaluation, consumer interaction, and operational frameworks. The findings demonstrate that digital transformation yields substantial advantages for stakeholders, including property managers, investors, purchasers, and tenants. Principal benefits comprise enhanced operational efficiency, improved data-driven decision-making, and augmented user engagement. Nevertheless, the review underscores significant obstacles, such as elevated implementation costs, apprehensions regarding data security, resistance to technological advancement, and integration challenges that may obstruct seamless assimilation. By furnishing precise analyses regarding these advantages and obstacles, this review presents pragmatic methodologies for industry practitioners to maneuver through digital transformation effectively. It advocates for implementing modular technology to optimize financial expenditures and emphasizes the necessity of resilient cybersecurity protocols to mitigate data-related apprehensions. Subsequent investigations ought to concentrate on the enduring implications of these technologies on market dynamics and the fulfillment of stakeholders.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100340"},"PeriodicalIF":0.0,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the affective and cognitive dimensions of customer stickiness in deepfake platforms through the theoretical lens of attachment","authors":"Kanchan Patil ,&nbsp;Dhanya Pramod ,&nbsp;Vijayakumar Bharathi S ,&nbsp;Dhoha AlSaleh","doi":"10.1016/j.jjimei.2025.100344","DOIUrl":"10.1016/j.jjimei.2025.100344","url":null,"abstract":"<div><div>This study aims to understand how deepfakes affect customer stickiness, which characterizes the degree of customer retention on an online retail platform like Metaverse. Metaverse retail platforms can offer deepfake marketing to give customers an innovative buying experience. The study, built on the attachment theory and socio-technological approach, empirically evaluated affective and cognitive responses from 278 metaverse platform users using structural equation modelling. The results show that the technology factors, namely <em>synchronicity, vicarious expression, and security and privacy</em>, impacted platform attachment. The social factor, <em>deepfakes interaction</em>, impacted emotional attachment to deepfakes. The other social factors, deepfakes' familiarity and reputation, did not affect emotional attachment to Deepfakes' content. This study advances the literature on attachment theory and offers practical recommendations for retailers intending to explore deepfake usage on metaverse platforms. Our study proposes strategies for enhancing customers' attachment to retail brands through deepfakes and emphasizes the critical factors influencing customer retention in the context of metaverse retail.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100344"},"PeriodicalIF":0.0,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Green digital leadership and algorithmic management for sustainable supply chains: A serial mediation model","authors":"Mahmoud Abdulhadi Alabdali ,&nbsp;Muhammad Zafar Yaqub ,&nbsp;Josef Windsperger","doi":"10.1016/j.jjimei.2025.100343","DOIUrl":"10.1016/j.jjimei.2025.100343","url":null,"abstract":"<div><div>Supply chains face resilience and sustainability challenges from disruptions and digital advancements, with limited insight into leadership-driven digital solutions. This study investigates how green digital transformational leadership (G-DTL) influences green digital supply chain transformation (G-DSCT) and resilience (G-DSCR). We examine the serial mediation roles of algorithmic management (ALGM) and green digital absorptive capacity (G-DAC) in these relationships. Utilizing transformational leadership and absorptive capacity theories within the stimulus–organism–response framework, we collected and analyzed survey data from 324 supply chain professionals in Saudi Arabia using partial least squares structural equation modeling. The results confirm that G-DTL significantly and positively impacts G-DSCT and G-DSCR, with ALGM and G-DAC sequentially mediating the G-DTL–G-DSCR relationship. Practically, leaders should proactively invest in developing green digital leadership competencies and adopt ALGM tools to enhance their absorptive capacity. This strategic combination enables organizations to tackle disruptions, ensuring sustainable transformation and supply chain resilience.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100343"},"PeriodicalIF":0.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143894992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Healthcare data governance assessment based on hospital management perspectives","authors":"Shinta Oktaviana R ,&nbsp;Putu Wuri Handayani ,&nbsp;Achmad Nizar Hidayanto ,&nbsp;Bambang Budi Siswanto","doi":"10.1016/j.jjimei.2025.100342","DOIUrl":"10.1016/j.jjimei.2025.100342","url":null,"abstract":"<div><div>Hospitals are the most prominent health data producers of clinical data and administrative data. Reusing health data from hospitals has problems regarding data quality and integrity within the institution. These problems raise healthcare expenses, cause errors in patient treatment, and consume a lot of hospital IT personnel's work time for data extraction and synchronization. Implementing health data governance helps hospitals improve patient safety, increase research in the health sector, establish policy, protect data and information assets, and determine accountabilities and processes for managing data and information. However, only a few countries can implement health data governance in hospitals. In developing countries, research related to health data governance is rare. We conducted this research to determine the requirement for health data governance for hospitals in developing countries. This study is qualitative research with a single case study. The data was taken from the National Cardiovascular Center in Jakarta from June 2022 until December 2023. We used semi-structured interviews with IT and hospital management. There are 18 people as our interviewees. We used thematic analysis. Data governance domain areas are used in our initial code, and we continue to open coding to find the meaning of the interviewee's statement. The axial code was performed to get critical problem-related health data in the hospital. We got six themes as our problem identification. The themes were incomplete data, incorrect data, data redundancy, lack of documentation, data discoverability issues, and no ethical consideration in data access. After that, we mapped the problem to the domain area of data governance. This research found that the domain areas most required for health data governance were data quality management, metadata management, and data security management.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100342"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143894991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The influence of AI literacy on risk management skills and the roles of diagnostic capabilities and prognostic capabilities: Empirical insight from Thai gen Z accounting students","authors":"Kanokwan Meesook ,&nbsp;Narinthon Imjai ,&nbsp;Berto Usman ,&nbsp;Busaya Vongchavalitkul ,&nbsp;Somnuk Aujirapongpan","doi":"10.1016/j.jjimei.2025.100341","DOIUrl":"10.1016/j.jjimei.2025.100341","url":null,"abstract":"<div><div>This study investigates the relationship between AI literacy, diagnostic capabilities, prognostic capabilities, and risk management skills among Generation Z accounting students in Thailand. Using a quantitative research design, data were collected from 400 participants and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that AI literacy positively influences both diagnostic and prognostic capabilities. In turn, these capabilities significantly contribute to the development of risk management skills, with prognostic capabilities showing a stronger effect. The findings highlight the value of integrating AI literacy into accounting education to better prepare students with essential analytical and risk-related competencies for the evolving digital landscape.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100341"},"PeriodicalIF":0.0,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143892155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"WEST GCN-LSTM: Weighted stacked spatio-temporal graph neural networks for regional traffic forecasting","authors":"Theodoros Theodoropoulos ,&nbsp;Angelos-Christos Maroudis ,&nbsp;Uwe Zdun ,&nbsp;Antonios Makris ,&nbsp;Konstantinos Tserpes","doi":"10.1016/j.jjimei.2025.100338","DOIUrl":"10.1016/j.jjimei.2025.100338","url":null,"abstract":"<div><div>Regional traffic forecasting is a critical challenge in urban mobility, with applications to various fields such as the Internet of Everything. In recent years, spatio-temporal graph neural networks have achieved state-of-the-art results in the context of numerous traffic forecasting challenges. This work aims to expand upon the conventional spatio-temporal graph neural network architectures in a manner that may facilitate the inclusion of information regarding the examined regions and the populations that traverse them to establish a more efficient prediction model. The end-product of this scientific endeavor is a novel spatio-temporal graph neural network architecture for regional traffic forecasting referred to as WEST (WEighted STacked) GCN-LSTM. Furthermore, the aforementioned information is included via two novel dedicated algorithms, the Shared Borders Policy and the Adjustable Hops Policy. Through information fusion and distillation, the proposed solution significantly outperforms its competitors in an experimental evaluation of 19 forecasting models across several datasets. Finally, an additional ablation study determined that each component of the proposed solution enhances its overall performance.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100338"},"PeriodicalIF":0.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Do chatbots support consumer performance? Investigating the role of E-lifestyle and anthropomorphism in the service industry","authors":"Retno Dewanti ,&nbsp;Ridho Bramulya Ikhsan","doi":"10.1016/j.jjimei.2025.100339","DOIUrl":"10.1016/j.jjimei.2025.100339","url":null,"abstract":"<div><div>The growing implementation of chatbots in the service industry reflects continued innovation in this area. However, concerns persist regarding chatbot competence in addressing consumer inquiries, potentially hindering both the interaction experience and consumer performance. This study investigates the factors driving consumer performance in chatbot interactions. Data were collected via an online survey of 336 Indonesian consumers. Partial least squares-structural equation modeling (PLS-SEM) was employed to test the structural model. The findings reveal that e-lifestyle significantly influences both chatbot experience and competence. Anthropomorphism significantly impacts chatbot experience, competence, and the resulting consumer performance. Moreover, both chatbot experience and competence significantly affect consumer performance. Furthermore, chatbot competence significantly shapes the user experience. This study contributes to both theoretical and practical understanding of chatbots within the service industry.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100339"},"PeriodicalIF":0.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143851646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Financial textual sentiment connectedness: Evidence from alternative data","authors":"Yudhvir Seetharam,&nbsp;Kingstone Nyakurukwa","doi":"10.1016/j.jjimei.2025.100337","DOIUrl":"10.1016/j.jjimei.2025.100337","url":null,"abstract":"<div><div>This study investigates the connectedness of various firm-level investor sentiment proxies—news, social media, ESG positive (ESGpos), and ESG negative (ESGneg) sentiment using aggregate connectedness measures and a sample of DJIA stocks between 2015 and 2024. Our findings reveal that each sentiment proxy maintains strong internal consistency, predominantly shaped by its own sources. Specifically, news and social media exhibit high self-connection scores, indicating that these proxies are primarily influenced by their respective content. ESG sentiment proxies show minimal cross-influence from news and social media, indicating their distinct and independent nature. Network analysis further highlights that news and social media transmit sentiment shocks, while ESG-based proxies are predominantly receivers. The most significant flow of sentiment shocks is from social media to ESG negative sentiment. This reflects the central role of social media in shaping sentiment within the system, in contrast to the more isolated influence of news. During significant global event periods, ESGpos and ESGneg shift roles, with ESGpos becoming a transmitter and ESGneg a receiver of sentiment shocks. Sector-specific analysis shows that the Financials (Technology) sector is a net transmitter (receiver) of sentiment shocks. The practical implications of the findings are discussed. The paper contributes to the literature, which has treated different sentiment proxies as distinct phenomena despite their interconnectedness. Additionally, we find that the aggregate connectedness measures used in this study exhibit stronger connectedness compared to the traditional Diebold-Yilmaz framework.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100337"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}