International Journal of Information Management Data Insights最新文献

{"title":"Impact of perceived privacy and security in the TAM model: The perceived trust as the mediated factors","authors":"Yan Zhang","doi":"10.1016/j.jjimei.2024.100270","DOIUrl":"10.1016/j.jjimei.2024.100270","url":null,"abstract":"<div><h3>Purpose</h3><p>Scholarly literature and industrial evidence imply how to improve face recognition technology. However, given the relative novelty of the influence on consumers' (users) emotions and behavior, little research has been undertaken on this issue. Hence, this paper aims to check the perceived role of privacy and security in behavioral intention in face recognition. As the mediated factor, we consider the impact of perceived privacy and perceived security on behavioral intention by trust, perceived ease of use, and perceived usefulness.</p></div><div><h3>Findings</h3><p>The results indicated that all the hypotheses are supported except for the effect of perceived privacy on trust</p></div><div><h3>Originality/value</h3><p>This paper analyzes the effect of perceived privacy and perceived security on behavioral intention in face recognition based on the Technology Acceptance Model (TAM), which has not been investigated thoroughly in the context of face recognition. Future research suggests using different samples or methods to test the stability of the results on these variables.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100270"},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000594/pdfft?md5=72eb3cc5974b4ddf3c7dca1cb9853275&pid=1-s2.0-S2667096824000594-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141736644","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":"Sentiment Analysis on E-Commerce Product Reviews Using Machine Learning and Deep Learning Algorithms: A Bibliometric Analysisand Systematic Literature Review, Challenges and Future Works","authors":"Alfredo Daza ,&nbsp;Néstor Daniel González Rueda ,&nbsp;Mirelly Sonia Aguilar Sánchez ,&nbsp;Wilmer Filomeno Robles Espíritu ,&nbsp;María Elena Chauca Quiñones","doi":"10.1016/j.jjimei.2024.100267","DOIUrl":"10.1016/j.jjimei.2024.100267","url":null,"abstract":"<div><p>The success of every company is based on the service provided to customers, so it is essential to know the perception of buyers in relation to specific products, this allows the company to analyze concrete data that can be invaluable for its development in a highly competitive market, and improve the quality of products. The purpose of this study is to gain a deeper understanding about the most used items, methods to test the performance of the model, techniques and those that had better accuracy, metrics and programming languages used in the sentiment analysis on e-commerce products review. An exhaustive search was carried out in 4 databases: ScienceDirect, Scopus, ProQuest and Web of Science using keywords, identifying 20 articles between 2018 and 2024. This article was based on the PRISMA methodology, taking into account the inclusion and exclusion criteria. To then make a synthesis of the findings related to: Items of application of sentiment analysis, methods to test the performance of the model, techniques, metrics and programming languages; and propose new challenges and future work. Products of different items was the most item used, Cross validation the most used method to test model, also the most efficient techniques were Support Vector Machine (SVM) and LSTM had better accuracy, the essential metrics were F1-Score, and finally the most used programming language to develop the models was Python. In this study, we offer a comprehensive view of machine learning and deep learning algorithms to analyze sentiment in e-commerce product reviews, so we identify existing challenges and suggest future directions to improve the efficiency of these methods, thus contributing to providing more effective and accessible solutions in the field of sentiment analysis, We also highlight how this analysis can serve as a source of competitive advantage by providing useful information for companies to improve the quality of their products.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100267"},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000569/pdfft?md5=4103bd050ed247460f7ea02cfbd01cf3&pid=1-s2.0-S2667096824000569-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141638488","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":"Information needs for transparency in blockchain-enabled sustainable food supply chains","authors":"Patrick Burgess ,&nbsp;Funlade Sunmola ,&nbsp;Sigrid Wertheim-Heck","doi":"10.1016/j.jjimei.2024.100262","DOIUrl":"10.1016/j.jjimei.2024.100262","url":null,"abstract":"<div><p>The growing demand for transparency in sustainable food production creates a challenge for supply chains to meet the diverse information needs of stakeholders. This research addresses this challenge by identifying and prioritising information needs within sustainable food supply chains. Employing a mixed-methods approach, the study identified 14 information needs, categorised them into three clusters: a) product and quality details information, b) production and processing information, and c) sustainability information, and prioritised the information needs. Experts highly prioritised information needs on quality and safety, followed by product origin and nutrition/ingredients. The research suggests that blockchain technology can play a role in supporting consumer decision-making. These findings can inform the development of information-sharing systems that enhance transparency and support consumer decision-making in sustainable food supply chains.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100262"},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266709682400051X/pdfft?md5=8a36ea1f25fcba33096eeafa51c3e130&pid=1-s2.0-S266709682400051X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141622278","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":"From pixels to perceptions: Capturing high-level abstract concepts in visual user-generated content","authors":"Ujjwal Sharma ,&nbsp;Stevan Rudinac ,&nbsp;Joris Demmers ,&nbsp;Willemijn van Dolen ,&nbsp;Marcel Worring","doi":"10.1016/j.jjimei.2024.100269","DOIUrl":"https://doi.org/10.1016/j.jjimei.2024.100269","url":null,"abstract":"<div><p>Visual content on platforms like Instagram and TripAdvisor plays a crucial role in consumer decision-making, particularly in intangible sectors like hospitality, where consumers rely on such information to gauge service quality prior to consumption. In this study, we introduce an approach leveraging deep neural networks to identify high-level, abstract concepts in visual user-generated content (UGC) for restaurants. Given the lack of annotations on these concepts, we propose two weak labeling methods: one utilizing existing restaurant-quality signals, and the other extracting relevant labels from review texts via questionnaires. Our findings reveal that models trained on these inexpensive weak labels demonstrate moderate correlations with human judgments. Furthermore, we showcase the effectiveness of gradient-based techniques in generating visual explanations, highlighting image regions that support neural network predictions. These methods enable visual UGC analysis tasks with minimal labeling effort and allow practitioners to interpret deep neural network predictions more effectively.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100269"},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000582/pdfft?md5=d93be5cf305a237a8e731575ab206037&pid=1-s2.0-S2667096824000582-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141607788","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":"Antecedents and consequences of big data knowledge management","authors":"Shafique Ur Rehman ,&nbsp;Hamzah Elrehail ,&nbsp;Abdallah Taamneh ,&nbsp;Abdallah Alsaad ,&nbsp;Raid Al-Adaileh","doi":"10.1016/j.jjimei.2024.100265","DOIUrl":"https://doi.org/10.1016/j.jjimei.2024.100265","url":null,"abstract":"<div><p>The aim of this paper is to examine big data management practices and big data knowledge management (KM) to determine competitive advantage, with the mediating role of innovation capacity. A quantitative approach was followed and PLS-SEM used to test the hypotheses. A total of 589 questionnaires were used for analysis. The results indicated that big data management practices significantly determine big data KM. Moreover, big data KM is positively associated with innovation capacity and competitive advantage. Innovation capacity mediates the relationship between big data KM and competitive advantage. Finally, innovation capacity significantly leads to a competitive advantage. This article offers guidelines for management to enhance competitive advantage to focus on big data management practices, big data KM, and innovation capacity.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100265"},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000545/pdfft?md5=28bbeb1e72b87942d6376ee3a24a7bf2&pid=1-s2.0-S2667096824000545-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141595433","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":"Unveiling employee perspectives: A comparative analysis of online reviews on Korean SMEs and large corporations","authors":"Minkyu Kang ,&nbsp;Hyosook Yim","doi":"10.1016/j.jjimei.2024.100268","DOIUrl":"https://doi.org/10.1016/j.jjimei.2024.100268","url":null,"abstract":"<div><p>This study analyzes online company reviews from JobPlanet using TF-IDF analysis and LDA topic modeling to explore factors influencing job satisfaction in Korea. By comparing the reviews from employees at small and medium-sized enterprises (SMEs) and large corporations on the advantages and disadvantages, it aims to gain insights into enhancing SMEs' competitiveness regarding employee job satisfaction.</p><p>The analysis shows that large corporation employees valued personal growth and mutual respect but cited excessive workload as a significant drawback. SME employees appreciated smooth communication and flexible leave but noted unilateral work, long hours, and lack of shared vision. The study concludes that a horizontal organizational culture and opportunities for personal growth significantly impact job satisfaction beyond salary and benefits. SMEs can improve competitiveness by fostering a clear corporate vision, a horizontal culture, and personal growth opportunities.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100268"},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000570/pdfft?md5=6672fed3cdd6c954c0942815071c2484&pid=1-s2.0-S2667096824000570-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141543099","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":"Reducing information overload in e-participation: A data-driven prioritization framework for policy-makers","authors":"Mathieu Lega,&nbsp;Benito Giunta,&nbsp;Lhorie Pirnay,&nbsp;Anthony Simonofski,&nbsp;Corentin Burnay","doi":"10.1016/j.jjimei.2024.100264","DOIUrl":"https://doi.org/10.1016/j.jjimei.2024.100264","url":null,"abstract":"<div><p>An increasingly common practice for policy-makers is to leverage e-participation to collect citizens’ opinions and improve their decision-making processes. This practice, however, is hindered by the large quantity of collected opinions which are often overloading and hard to value. This is referred to as information overload. As a way to mitigate this challenge for policy-makers, this article develops a prioritization framework for citizens’ ideas collected through e-participation. The framework builds on Design Science Research and is validated on a real-world case in collaboration with the European Commission. The resulting contributions are threefold. First, theoretical criteria, popularity and polarization, are developed to prioritize citizens’ proposals. Then, automated and quantitative metrics are proposed to measure these criteria. Finally, a prioritization matrix is developed to visually assess the relative priority of these citizens’ proposals.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100264"},"PeriodicalIF":0.0,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000533/pdfft?md5=eaee3ad8d6996cb3682ec1e2a07f55a7&pid=1-s2.0-S2667096824000533-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141484062","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":"Financial equality through technology: Do perceived risks deter Indian women from sustained use of mobile payment services?","authors":"Priyanka Yadav ,&nbsp;Abhishek Kumar ,&nbsp;Saroj Kumar Mishra ,&nbsp;Khyati Kochhar","doi":"10.1016/j.jjimei.2024.100266","DOIUrl":"https://doi.org/10.1016/j.jjimei.2024.100266","url":null,"abstract":"<div><p>Digital payments in India are rising with a high share of mobile payments; still, it faces a digital divide. Concerning digital financial services, India has the lowest number of women who owe debit and credit cards, and less than one-third of women receive and make digital payments among the G-20 nations. Hence, the present study investigates female users' risk perception and its effect on trust and satisfaction and, ultimately, continuance usage intention towards mobile payment services. Furthermore, the impact of self-efficacy is examined on continuance usage intentions. This study tested empirical data from 444 existing female mobile payment users. The result indicates that financial and performance risks negatively impact users' satisfaction and trust, but privacy risk has no role among female users. Surprisingly, psychological risk is positively associated with female users' trust and satisfaction, and self-efficacy strengthens continuance usage intention. Trust and satisfaction mitigate risk perception and foster continuance usage.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100266"},"PeriodicalIF":0.0,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000557/pdfft?md5=ebcd2eecf9afe6ca47eb28f8d91eb0ff&pid=1-s2.0-S2667096824000557-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141484061","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":"Driving user adoption of mobile apps through platform multihoming: The effects of multihoming delay and multihoming customization","authors":"Wondwesen Tafesse,&nbsp;Kathy Ning Shen","doi":"10.1016/j.jjimei.2024.100263","DOIUrl":"https://doi.org/10.1016/j.jjimei.2024.100263","url":null,"abstract":"<div><p>Developers release their mobile apps through multiple app store ecosystems to extend their reach and reduce their dependency on a single distribution platform and its governance mechanisms. While this topic has piqued the interest of a growing number of studies, key multihoming decisions faced by developers including when to multihome mobile apps and whether and how much to customize them for the multihomed platform have not yet been jointly examined. In addition, the potential role that the user value of mobile apps (hedonic or utilitarian) plays in developers’ multihoming decisions has largely been overlooked. To address these gaps, the present study jointly investigates the effects of multihoming delay and multihoming customization on the user adoption of mobile apps on the multihomed platform. It further investigates the moderating effects of the user value of mobile apps. The study employed a large dataset of mobile apps that were initially released through Apple's App Store and subsequently multihomed into Google's Play Store (<em>N</em> = 24,906). By combining traditional count regression model with a machine learning approach, the study derives a range of theoretical and predictive insights that significantly contribute to the mobile app multihoming literature.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100263"},"PeriodicalIF":0.0,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000521/pdfft?md5=d6eea4c2edd704bf72fa8dd663341666&pid=1-s2.0-S2667096824000521-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141438944","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":"Causes, consequences, and strategies to deal with information overload: A scoping review","authors":"Leila Shahrzadi ,&nbsp;Ali Mansouri ,&nbsp;Mousa Alavi ,&nbsp;Ahmad Shabani","doi":"10.1016/j.jjimei.2024.100261","DOIUrl":"https://doi.org/10.1016/j.jjimei.2024.100261","url":null,"abstract":"<div><p>The exponential growth of digital information has led to the pervasive problem of information overload, affecting decision-making, productivity, and well-being. This article reviews the existing literature on the various effects of information overload, its underlying causes, and strategies for managing it. A scoping review of English literature up until January 2023 was conducted using Scopus, Web of Science, PubMed, and Emerald. The findings reveal that information overload is caused by personal factors, information characteristics, task parameters, organizational parameters, and information technology parameters. The effects include poor decision-making, decreased productivity, and cognitive pressures. Strategies for managing information overload include learning multiple skills and using filtering, prioritizing, and technology tools. This article provides a foundation for future research and interventions in this area.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100261"},"PeriodicalIF":0.0,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000508/pdfft?md5=1d90bc4bd7ae364fed6c402fd60129a8&pid=1-s2.0-S2667096824000508-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141438943","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}