International Journal of Information Management Data Insights最新文献

{"title":"Extending the theory of information poverty to deepfake technology","authors":"Walter Matli","doi":"10.1016/j.jjimei.2024.100286","DOIUrl":"10.1016/j.jjimei.2024.100286","url":null,"abstract":"<div><div>The advent of deepfake technology has introduced complex challenges to the information technology landscape, simultaneously presenting benefits and novel risks and ethical considerations. This paper delves into the evolution of deepfakes through the prism of information poverty theory, scrutinising how deepfakes may contribute to a growing information access/use inequality. The research focuses on the risks of misinformation and the ensuing expansion of digital divides, particularly when manipulative media could delude individuals lacking access to legitimate information sources. The study outlines the potential exacerbation of information asymmetries and examines the societal implications across various demographics. By integrating an analytical discussion on the risks associated with deepfakes, the study aligns the observed trends with the theoretical underpinnings of information poverty. As part of its contribution, the paper offers actionable policy-making recommendations and educational strategies to combat the proliferation of harmful deepfake content. The article aims to ensure a more equitable distribution of authentic information and foster media literacy. Through a multifaceted approach, this study endeavours to provide a foundational understanding for stakeholders to navigate the ethical minefield posed by deepfakes and to instil a framework for information equity in the digital era. The article provides critical insights into the discourse on deepfake technology and its relation to information poverty, underscoring the urgent need for equitable access to informed digital spaces. As deepfake technology evolves and more data emerges, a societal demand exists for comprehensive knowledge about deepfakes to promote discernment, decision-making and awareness. Policymakers are tasked with recognising the significance of widening access to sophisticated information technologies whilst addressing their negative repercussions. Their efforts will be particularly crucial for disseminating knowledge about deepfakes to those with limited or non-existent information and communication awareness and infrastructures. Learning from past successes and failures becomes pivotal in shaping effective strategies to address the challenges posed by deepfakes and fostering accessible, informed digital communities.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100286"},"PeriodicalIF":0.0,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000752/pdfft?md5=03c4539aa8be2df8356c77492752997c&pid=1-s2.0-S2667096824000752-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142314784","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}

{"title":"Location factors and ecosystem embedding of sustainability-engaged blockchain companies in the US. A web-based analysis","authors":"Jan Kinne ,&nbsp;Robert Dehghan ,&nbsp;Sebastian Schmidt ,&nbsp;David Lenz ,&nbsp;Hanna Hottenrott","doi":"10.1016/j.jjimei.2024.100287","DOIUrl":"10.1016/j.jjimei.2024.100287","url":null,"abstract":"<div><p>While many digital technologies provide opportunities for creating business models that impact sustainability, some technologies, especially blockchain applications, are often criticized for harming the environment, e.g. due to high energy demand. In our study, we present a novel approach to identifying sustainability-focused blockchain companies and relate their level of engagement to location factors and entrepreneurial ecosystem embeddedness. For this, we use a large-scale web scraping approach to analyze the textual content and hyperlink networks of all US companies from their websites. Our results show that blockchain remains a niche technology, with its use communicated by about 0.6% of US companies. However, the proportion of blockchain companies that are committed to sustainability is significantly higher than in the overall firm population. Additionally, we find that such sustainability-engaged blockchain companies have, at least quantitatively, a more intensive embedding in entrepreneurial ecosystems, while infrastructural and socio-economic location factors hardly play a role.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100287"},"PeriodicalIF":0.0,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000764/pdfft?md5=4f962436143461d36d43a227994573c0&pid=1-s2.0-S2667096824000764-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142274834","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}

{"title":"The adoption of mobile health applications by physicians during the COVID-19 pandemic in developing countries: The case of Saudi Arabia","authors":"Sultan Alsahli ,&nbsp;Su-yin Hor","doi":"10.1016/j.jjimei.2024.100289","DOIUrl":"10.1016/j.jjimei.2024.100289","url":null,"abstract":"<div><p>The rapid evolution of mobile health applications (mHealth apps) has become increasingly important in enhancing healthcare delivery, especially during the COVID-19 pandemic. Despite the critical role of such technologies, however, acceptance and adoption rates among physicians in developing countries, particularly Saudi Arabia, have been relatively low. This highlights the need to explore the determinants of acceptance. In response to this call, this study aimed to identify the factors that influence Saudi physicians’ acceptance and adoption of mHealth apps during the COVID-19 pandemic using the unified theory of acceptance and use of technology. Data were collected using an online survey, after which the responses were analyzed via structural equation modeling. The analysis assessed the influence of four primary constructs, namely, performance expectancy, effort expectancy, social influence, and facilitating conditions, on the physicians’ behavioral intention to adopt these technologies. The results indicated that while all factors significantly affected the intention to adopt the apps, facilitating conditions were the most influential. These findings punctuate the necessity of investing in infrastructure and implementing training programs focused on integrating mHealth technology into medical practice. By drawing attention to influencing factors, this research provides critical insights for policymakers and healthcare managers to enhance the adoption of mHealth apps. This enhancement, in turn, can help improve healthcare delivery and patient outcomes during and beyond health crises. Finally, this study not only sheds light on the adoption dynamics prevalent in a developing context but also serves as a valuable guide for implementing similar technologies in other global regions.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100289"},"PeriodicalIF":0.0,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000788/pdfft?md5=29e48c7923786a555f795eb9342d4c82&pid=1-s2.0-S2667096824000788-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142274835","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}

{"title":"Analysis of the potential of artificial intelligence for professional development and talent management: A systematic literature review","authors":"Natalia Tusquellas ,&nbsp;Ramon Palau ,&nbsp;Raúl Santiago","doi":"10.1016/j.jjimei.2024.100288","DOIUrl":"10.1016/j.jjimei.2024.100288","url":null,"abstract":"<div><p>The aim of this paper was to analyse the current applications of Artificial Intelligence in professional development and talent management within the corporate world with a focus on corporate training. By means of a Systematic Literature Review based on the PRISMA 2020 reporting criteria this paper highlights the current applications of AI along with the main benefits and drawbacks associated with its implementation. The findings show that AI is being used to enhance recruitment processes, to identify individual training and development skills and needs, to develop personalised training paths, to retain talent and predict attrition, and to detect future workforce skills development needs. It has been outlined that there is a need for automated talent management processes within companies and that talent intelligence should be implemented along with facing the challenges this will entail, such as minimising the risk of bias and hiring high-skilled qualified personnel.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100288"},"PeriodicalIF":0.0,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000776/pdfft?md5=0b96fd4ba774d8d51880f8fff37b90e0&pid=1-s2.0-S2667096824000776-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232453","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}

{"title":"Classification of suicidal ideation severity from Twitter messages using machine learning","authors":"Pantaporn Benjachairat ,&nbsp;Twittie Senivongse ,&nbsp;Nattasuda Taephant ,&nbsp;Jiratchaya Puvapaisankit ,&nbsp;Chonlakorn Maturosjamnan ,&nbsp;Thanakorn Kultananawat","doi":"10.1016/j.jjimei.2024.100280","DOIUrl":"10.1016/j.jjimei.2024.100280","url":null,"abstract":"<div><p>Depression has become a major mental health problem in Thailand and can lead to suicidal ideation. As suicidal ideation may vary in intensity and lead to suicide attempts, early detection of suicidal ideation severity should be implemented. This research presents text classification models for the prediction of suicidal ideation severity. A dataset of Twitter messages in Thai was used to develop several classification models. A web application prototype was also developed to predict suicidal ideation severity and introduce self-therapy based on Cognitive Behavioral Therapy to its users for managing negative automatic thoughts. The application prototype received satisfactory feedback during the user experience assessment. The results of this research highlight the importance and need for socio-technical systems to help with early suicidal ideation detection and early therapy in the social environment where mental health support is inadequate.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100280"},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000697/pdfft?md5=7d239a55544ebdb5f4c9115aa83fb27e&pid=1-s2.0-S2667096824000697-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142230114","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}

{"title":"Factors influencing the adoption of artificial intelligence in e-commerce by small and medium-sized enterprises","authors":"Soliman Aljarboa","doi":"10.1016/j.jjimei.2024.100285","DOIUrl":"10.1016/j.jjimei.2024.100285","url":null,"abstract":"<div><p>The rapid evolution of technology has fundamentally transformed business operations. Therefore, companies are increasingly leveraging technology to enhance their processes and gain a competitive edge. In this context, the adoption of artificial intelligence (AI) in e-commerce has become a crucial area for business development. However, there is currently a lack of understanding regarding the key factors that determine the adoption of AI in e-commerce by small and medium-sized enterprises. Thus, to fill this gap, this study aims to investigate the factors influencing the adoption of AI tools in e-commerce for SMEs. This study will also explore how the adoption of AI by SMEs contributes to the business performance of these organizations. To achieve this, the study proposes an integrated model based on the dynamic capabilities framework, entrepreneurial orientation, and customer-centric systems. Empirical data for the current study were collected using a digital survey, which was disseminated to a purposive sample of SMEs in Saudi Arabia. Analysis of the collected data was performed using structural equation modeling (SEM), and the results support the role of both dynamic capabilities and entrepreneurial orientation in facilitating the adoption of AI in e-commerce. The study confirms of the significant role of AI adoption in enhancing the business performance of SMEs. This study seeks to make several theoretical contributions and implications for practice. This will also provide small and medium-sized companies with valuable insights that help in making decisions and building strategies. However, it is important to acknowledge the limitations of this study, which will be discussed later in the paper.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100285"},"PeriodicalIF":0.0,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000740/pdfft?md5=a536c6ea83d2798aa2a77da147666319&pid=1-s2.0-S2667096824000740-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172486","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}

{"title":"Synergizing human insight and machine learning: A dual-lens approach to uncovering healthcare research and innovation outcomes","authors":"Stijn Horck ,&nbsp;Sanne Steens ,&nbsp;Jermain Kaminski","doi":"10.1016/j.jjimei.2024.100284","DOIUrl":"10.1016/j.jjimei.2024.100284","url":null,"abstract":"<div><p>Many healthcare organisations have extensive documentation detailing the processes behind their various research and innovation projects. Analysing this data can provide valuable insights into why some projects succeed without major issues, others encounter and overcome problems, and some ultimately fail. This study introduces an approach that combines narrative interviews and Natural Language Processing (NLP) to identify patterns associated with innovation project outcomes. We analysed 618 documents from 67 projects provided by ZonMw, a major Dutch healthcare research funder, and conducted 32 narrative interviews across seven cases of healthcare innovation projects. By using narrative interviews to inform and pre-train a text embedding model, we demonstrate the potential to create a proxy for human judgement, allowing for a more natural identification of contextual patterns in project documentation. The findings indicate that successful projects are more likely to adopt a proactive approach to role changes and uncertainty (due to ambiguous laws and regulations) and to allow flexibility, which enhances stakeholder engagement, compared to failed projects. However, while we were able to conduct descriptive analysis to gain these insights, significant interpretation is still required to fully understand the findings. Our study makes two primary contributions: first, it offers a new approach for future research on the factors that determine project success or failure, closely aligning with Structuration Theory. Additionally, it suggests potential efficiency improvements in theory development by enabling multiple pattern configurations within Grounded Theory. Second, it offers practical strategies for organisations to more effectively capture and use contextual information in their project documentation for future success.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100284"},"PeriodicalIF":0.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000739/pdfft?md5=ccee149b94497047c1a4d4b2adcbb371&pid=1-s2.0-S2667096824000739-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142167383","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}

{"title":"The roots of digital aggression: Exploring cyber-violence through a systematic literature review","authors":"Muaadh Mukred ,&nbsp;Umi Asma' Mokhtar ,&nbsp;Fahad Abdullah Moafa ,&nbsp;Abdu Gumaei ,&nbsp;Ali Safaa Sadiq ,&nbsp;Abdulaleem Al-Othmani","doi":"10.1016/j.jjimei.2024.100281","DOIUrl":"10.1016/j.jjimei.2024.100281","url":null,"abstract":"<div><p>In both the developed and developing world, cyber-violence presents a problem that affects most families and societies. However, there is a lack of diagnostic studies dedicated to this phenomenon, especially its factors and the relevant models. Consequently, the aim of this study was to extract the factors that bear upon cyber-violence by conducting a systematic literature review. This was anticipated to lead to a better understanding of those factors with their models and effects, as explored in previous research. This systematic literature review resulted in a comprehensive and rigorous examination of the relevant literature, which included numerous articles of interest. The findings indicate that most of the past research on cyber-violence has primarily looked at the factors affecting the behavioral intention to engage in the phenomenon, while very few studies have looked at its effects, especially in developing countries. The period from which the primary studies were collected was 2010-2024, using the ScienceDirect, IEEE Explorer, Springer, SAGE, Taylor and Francis, MDPI and Emerald Insight databases. Inclusion and exclusion criteria were applied, resulting in 91 studies to be systematically reviewed. It emerged from this review that engagement in cyber-violence was predominantly due to a lack of cyber-violence models and a failure to consider the factors that potentially contribute to engagement in cyber-violence. Hence, these factors are identified in this paper, looking at the academic, economic and social impact of cyber-violence. The outcomes of this review could assist future researchers by providing a roadmap of institutional repositories and guidelines for recognizing the models and factors of cyber-violence, together with its effects.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100281"},"PeriodicalIF":0.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000703/pdfft?md5=aa2076762c0fbe1fb055715c41c4ad55&pid=1-s2.0-S2667096824000703-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142167384","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}

{"title":"Green Service Consumption: Unlocking Customer Expectations on Technological Transformations Enhancing Purchase Experience in Retail Store","authors":"Arjun J Nair ,&nbsp;Sridhar Manohar","doi":"10.1016/j.jjimei.2024.100277","DOIUrl":"10.1016/j.jjimei.2024.100277","url":null,"abstract":"<div><p>The research delves into the intricacies of green service consumption within the retail sector, concentrating specifically on delineating customer expectations and elucidating the transformative technological interface. The study elucidates the intricate dynamics of customer expectations and technological transformations to enhance the purchase experience in retail stores, focusing on the evolving paradigm in the retail landscape from a product-centric to a service-oriented economy and unveiling the pivotal role of societal influences, technology and customer expectations. The central theme revolves around understanding green service consumption within the retail sector, emphasizing the interplay between societal values, technological innovations and the dynamism of customer expectations. The research design employed is qualitative, leveraging a multidisciplinary approach and gleaning insights from sociotechnical perspectives, environmental sustainability, AI and consumer behavior. The sampling design involved experts in the field who participated in interviews and were purposefully selected based on their expertise in green service consumption and retail practices. The analysis utilized the fuzzy DEMANTEL method, involving a rudimentary exploration of dimensions. The research leverages extensive and in-depth deliberations involving theoretical explorations, connections among influencing factors and methodological insights from fuzzy logic and DEMATEL to dissect the complexities of green service consumption. The study elucidates the pivotal transition in the retail landscape, unveiling the changing nature of customer expectations, the surging significance of green service consumption and the influence of societal values and technological advancements. The discourse signifies the paramount role of societal values, particularly the increasing awareness of sustainability, ethical sourcing and eco-friendly strategies, in shaping retail strategies. The research presents a multifaceted view of green service consumption, thereby contributing to an enriched theoretical landscape of green service-focused retail experiences.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100277"},"PeriodicalIF":0.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000661/pdfft?md5=76e0add85e8a5d6dd61ce098244ef624&pid=1-s2.0-S2667096824000661-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142136909","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}

{"title":"How can Artificial Intelligence (AI) be used to manage Customer Lifetime Value (CLV)—A systematic literature review","authors":"Edo Belva Firmansyah ,&nbsp;Marcos R. Machado ,&nbsp;João Luiz Rebelo Moreira","doi":"10.1016/j.jjimei.2024.100279","DOIUrl":"10.1016/j.jjimei.2024.100279","url":null,"abstract":"<div><p>Customer Lifetime Value (CLV) represents the total worth of a customer to a company over time, aiding businesses in resource allocation and tailored marketing for profitability. This literature review fills a research gap by examining how customer risk factors are integrated into CLV calculations. We conducted a systematic literature review across databases, adhering to strict criteria for relevance and quality. The review analyzed CLV methodologies and outcomes, highlighting the use of mean–variance analysis to optimize customer portfolios, with customer income fluctuations identified as a major risk factor. The study also explores the evolution of CLV research, particularly in the application of Machine Learning (ML) for risk-adjusted CLV. Our findings offer a comprehensive overview, laying the groundwork for future research and helping businesses refine risk management strategies, identify high-risk customers, and enhance customer value through more dynamic, data-driven models.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100279"},"PeriodicalIF":0.0,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000685/pdfft?md5=b2ebcf10944593940a8a93b2cd4ad3fd&pid=1-s2.0-S2667096824000685-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142129050","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}