International Journal of Information Management Data Insights最新文献

{"title":"Are you game? Health Gamification during disruptions due to the pandemic for sustainability","authors":"Swati Tayal,&nbsp;K. Rajagopal","doi":"10.1016/j.jjimei.2024.100275","DOIUrl":"10.1016/j.jjimei.2024.100275","url":null,"abstract":"<div><p>The new normal has transformed IT company employees' working styles and patterns to accommodate changing business demands. It brings back the attention required for self-health, and the pandemic has demonstrated the importance of Health. The prominence of Gamification and its adaptation is growing in the education and learning industries. This research paper aims to study, analyze, and understand users' intention to use gamified health monitoring tools or applications with emerging health disruptions in the post-pandemic era. The study gathered data from Indian users as the primary source, where the participants' backgrounds were from Information Technology (IT) companies, and the survey gathered 185 responses online from Gen Z women. This study shows a significant association between the gamified engagement approach and user intention to engage. Considering the ongoing business uncertainty and growing work-from-home hours for IT employees, disruption may persist while creating the need for gamified health engagement.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100275"},"PeriodicalIF":0.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000648/pdfft?md5=7fd47c9b6cf4a2c02e34dbc15222a9a9&pid=1-s2.0-S2667096824000648-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142099549","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 does blockchain impact sustainable food security? Insights from literature review","authors":"Sugandh Arora ,&nbsp;Sumit Oberoi ,&nbsp;Tawheed Nabi ,&nbsp;Balraj Verma","doi":"10.1016/j.jjimei.2024.100276","DOIUrl":"10.1016/j.jjimei.2024.100276","url":null,"abstract":"<div><p>Blockchain technology can enhance sustainable food security because of its distinct characteristics such as traceability, decentralized and unchangeable databases, and smart contract protocols. Nevertheless, blockchain technology in agricultural applications is still in the early stages of development. Therefore, this study aims to ascertain the efficiency and cognitive framework of blockchain technology for attaining long-term food security. This study used a review-based approach to ascertain the intellectual framework. A literature search was conducted using the \"Scopus\" database to locate research articles published between 2017 and 2023. A “systematic literature review” was performed using the PRISMA framework on the 52 eligible publications. The study results indicated that traceability, real-time information availability, and immutably distributed databases were the most influential factors. The results showed that blockchain technology has benefits beyond facilitating reliable data dissemination and establishing intimate bonds between manufacturers and clients. Furthermore, blockchain technology may pave the way for less food waste, improved supply chains and agricultural working environments, and more environmentally responsible eating practices. This study is the first of its kind to assess the intellectual structure of food security and augment the cognition of the in-depth examination of the benefits of blockchain technology that might ultimately provide a way to achieve zero-hunger goals.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100276"},"PeriodicalIF":0.0,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266709682400065X/pdfft?md5=a0f7e75b96230ddd4697f78c4cc1271c&pid=1-s2.0-S266709682400065X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142099575","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":"A strategic model for attracting and retaining environmentally conscious customers in E-retail","authors":"Gabriel Ayodeji Ogunmola ,&nbsp;Vikas Kumar","doi":"10.1016/j.jjimei.2024.100274","DOIUrl":"10.1016/j.jjimei.2024.100274","url":null,"abstract":"<div><p>The study offers a thorough investigation on the strategies necessary to attract and retain environmentally conscious customers in the E-Retail market in Southeast Asia. Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) have been deployed to analyze the intricate relationships among the sustainable business practices, consumer engagement strategies, technological interventions for sustainability, integration of a triple bottom line approach, and the balance between sustainability and profitability. Hypotheses testing on the empirical data have revealed that there is no significant relationship between sustainable business practices and attracting and retaining environmentally conscious customers. However, there are positive correlations between consumer engagement strategies, technological interventions for Sustainability, and the integration of triple bottom line approach with client attraction and retention. The work highlights the importance of a thorough sustainability plan, in-line with consumer expectations. Practical consequences emphasize the importance of tailoring marketing efforts, ensuring effective communication, and implementing technological advancements to improve the eco-friendly shopping experience. Difficulty in establishing a balance between sustainability and profitability have been highlighted as a prominent challenge for the e-retailers.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100274"},"PeriodicalIF":0.0,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000636/pdfft?md5=120f3454142c45e69cdc2d3e7bf76fe3&pid=1-s2.0-S2667096824000636-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142048072","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":"Integrating human-centric automation and sustainability through the NAToRM framework: A neuromorphic computing approach for resilient industry 5.0 supply chains","authors":"Steven M. Williamson ,&nbsp;Victor Prybutok","doi":"10.1016/j.jjimei.2024.100278","DOIUrl":"10.1016/j.jjimei.2024.100278","url":null,"abstract":"<div><p>Industry 5.0 supply chains face critical challenges in effectively managing the rapidly growing volume, variety, velocity, and veracity of big data while simultaneously ensuring sustainability, privacy, and ethical practices. The complex and interconnected nature of modern supply networks and the swift adoption of advanced technologies have created an urgent need for innovative frameworks to navigate these multifaceted challenges. Existing approaches often fail to adequately address the unique demands of Industry 5.0, lacking the ability to process data in real time, uncover deep insights, and enable dynamic, risk-informed decision-making. Moreover, there is a pressing need for frameworks that emphasize interdisciplinary collaboration and proactively address the potential negative impacts of emerging technologies. This paper introduces a novel, multidisciplinary framework that integrates cutting-edge techniques to tackle these challenges head-on, paving the way for more resilient, intelligent, and adaptable supply chains in the Industry 5.0 era.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100278"},"PeriodicalIF":0.0,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000673/pdfft?md5=a1fe01c170a6ec482754808d3c774634&pid=1-s2.0-S2667096824000673-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142044334","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":"Headlines or Hashtags? The battle in social media for investor sentiment in the stock market","authors":"Yudhvir Seetharam,&nbsp;Kingstone Nyakurukwa","doi":"10.1016/j.jjimei.2024.100273","DOIUrl":"10.1016/j.jjimei.2024.100273","url":null,"abstract":"<div><p>This study tackles the complex task of measuring investor sentiment, a latent variable often measured through various proxies. The focus here is on textual sentiment extracted from online sources, specifically news media and social media sentiment. The central inquiry is whether these proxies are equivalent indicators of investor sentiment. Employing firm-level daily sentiment scores for DJIA stocks and leveraging Granger causality and transfer entropy, the research investigates the dynamics of information flow between these proxies. The findings show a prevailing pattern: information predominantly flows from social media to news for the majority of stocks while a reverse relationship is established for some stocks. The variations across stocks suggest that these proxies do not uniformly capture the same underlying phenomena. The study shows the significant role of social media in shaping news media sentiment and prompts considerations about regulating social media platforms in the context of their impact on financial markets.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100273"},"PeriodicalIF":0.0,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000624/pdfft?md5=44b9d1643960f774f31b7f5227e535ca&pid=1-s2.0-S2667096824000624-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141992885","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":"Judgmental adjustment of demand forecasting models using social media data and sentiment analysis within industry 5.0 ecosystems","authors":"Yvonne Badulescu ,&nbsp;Fernan Cañas ,&nbsp;Naoufel Cheikhrouhou","doi":"10.1016/j.jjimei.2024.100272","DOIUrl":"10.1016/j.jjimei.2024.100272","url":null,"abstract":"<div><p>Industry 5.0 ecosystems focus on a human-centric approach to operations and supply chain management by integrating stakeholders, advanced technologies, and processes. While incorporating social media (SM) information into demand forecasting can significantly improve accuracy, it also brings about several challenges. This paper proposes an approach to leverage Big Data originating from SM networks combined with human judgment to build demand forecasts for new products. The structured methodology is demonstrated to improve forecast accuracy in a real case of a F&amp;B company while providing several insights into the challenges and opportunities of integrating advanced information technology into the demand forecasting process. The main challenges include effectively categorising the impact factors of SM on demand forecasting, translating insights from SM into actionable decisions, and ensuring the accuracy and reliability of the data obtained from SM networks. Future studies should involve collaborative expert input and validating the approach across various companies and industries.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100272"},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000612/pdfft?md5=ed06cae702b11f1f315fad2f13edbe73&pid=1-s2.0-S2667096824000612-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141964206","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 artificial intelligence can enable data classification for market sizing - Insights from applications in practice","authors":"L. Stallings,&nbsp;P. Bhat,&nbsp;J. Jacobs,&nbsp;K. Lynch,&nbsp;Q. Risch","doi":"10.1016/j.jjimei.2024.100271","DOIUrl":"10.1016/j.jjimei.2024.100271","url":null,"abstract":"<div><p>Determining the size of the addressable market is a key aspect of market intelligence and requires identifying and delineating projected budget data from potential customers. The market intelligence arena is characterized by a wide range of disparate sources, many of which are unstructured, ranging across competitive, market, financial, and technology sources, and typically necessitating significant manual work to analyze, reconcile, and integrate. The authors present an approach for classification of data from one of these sources, facilitating aggregation and analysis of intelligence information. We describe a concept proof using machine learning that extends a model for automatic mapping of publicly available budget data to segments and subsegments of a market segmentation taxonomy. This approach automates the tagging of market and market segment for each program and cost element by training classification models on the manually labeled historical data. We describe the evaluation and use of multiple natural language processing (NLP) and classification modeling methods. This work's contribution is demonstrating how NLP and machine learning techniques can provide useful data classification and automatic classification even when source data diverges from its specified taxonomic description.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100271"},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000600/pdfft?md5=f455d366514604d1b44909bde4178aa6&pid=1-s2.0-S2667096824000600-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141959700","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":"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}