International Journal of Information Management Data Insights最新文献_第7页

Advancing Metaverse's experience through optimization of players’ decisions 通过优化玩家的决策来提升Metaverse的体验

International Journal of Information Management Data Insights Pub Date : 2024-12-21 DOI: 10.1016/j.jjimei.2024.100316

Stav Cohen , Barak Fishbain

{"title":"Advancing Metaverse's experience through optimization of players’ decisions","authors":"Stav Cohen , Barak Fishbain","doi":"10.1016/j.jjimei.2024.100316","DOIUrl":"10.1016/j.jjimei.2024.100316","url":null,"abstract":"<div><div>The Metaverse, a virtual world enabling user interaction with digital environments and assets, increasingly utilizes blockchain and Non-Fungible Tokens (NFTs) to represent unique characters and items. Representing and valuing individual digital characters is crucial in the Metaverse as it establishes ownership, identity, and status within these virtual worlds. This research investigates decision-making within collaborative online games, where players face the challenge of optimizing their character's value through strategic NFT acquisition. This challenge is analogous to the Knapsack Problem, aiming to maximize the value of items selected within a limited capacity, just as players seek to maximize character rarity within budget constraints. We propose a Decision Support System (DSS) employing genetic algorithms to assist players in tackling this complex optimization problem. A simulation framework, based on the \"SunflowerLand\" Metaverse, demonstrates that players using the DSS achieve significantly higher character rarity, highlighting the potential of this approach to enhance player experience.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100316"},"PeriodicalIF":0.0,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096267","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}

引用次数: 0

Harnessing the power of language models in cybersecurity: A comprehensive review 在网络安全中利用语言模型的力量：一个全面的回顾

International Journal of Information Management Data Insights Pub Date : 2024-12-19 DOI: 10.1016/j.jjimei.2024.100315

Ramanpreet Kaur, Tomaž Klobučar, Dušan Gabrijelčič

{"title":"Harnessing the power of language models in cybersecurity: A comprehensive review","authors":"Ramanpreet Kaur, Tomaž Klobučar, Dušan Gabrijelčič","doi":"10.1016/j.jjimei.2024.100315","DOIUrl":"10.1016/j.jjimei.2024.100315","url":null,"abstract":"<div><div>Language models are transforming cybersecurity by addressing critical challenges such as the growing skills gap, the need for expertise augmentation, and knowledge retention. These models offer scalable, adaptable, and round-the-clock defenses against evolving cyber threats. By generating human-like text, processing data efficiently, and providing actionable responses, language models bridge the gap between automated systems and human expertise for different cybersecurity applications. However, the application and adaptation of language models for cyber security is still in its infancy. This review explores the use of general models, such as BERT, and larger models in cybersecurity research. It provides a structured framework for developing customized language models tailored to applications including content analysis, software and systems analysis, threat intelligence and monitoring, and cyber vetting. The study critically examines challenges, such as data confidentiality, infrastructure requirements, integration complexity and the evolving threat landscape. Moreover, it underscores the need for transparency, responsible use, and bias mitigation to ensure reliable and secure deployment of these models. In addition, this work critically examines the socio-technical dimensions of language model integration, focusing on their impact on organizational workflows, decision making and human-machine collaboration. By considering both technical and socio-technical considerations, this review provides a roadmap for future research and development. It highlights the potential of language models to improve organizational resilience, ensure secure implementation, and support informed decision-making in cybersecurity practice.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100315"},"PeriodicalIF":0.0,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096269","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}

引用次数: 0

Harnessing the potential of generative AI in digital marketing using the Behavioral Reasoning Theory approach 利用行为推理理论方法在数字营销中利用生成人工智能的潜力

International Journal of Information Management Data Insights Pub Date : 2024-12-17 DOI: 10.1016/j.jjimei.2024.100317

Sujata Joshi , Sonali Bhattacharya , Pankaj Pathak , N.A. Natraj , Juhi Saini , Soumya Goswami

{"title":"Harnessing the potential of generative AI in digital marketing using the Behavioral Reasoning Theory approach","authors":"Sujata Joshi , Sonali Bhattacharya , Pankaj Pathak , N.A. Natraj , Juhi Saini , Soumya Goswami","doi":"10.1016/j.jjimei.2024.100317","DOIUrl":"10.1016/j.jjimei.2024.100317","url":null,"abstract":"<div><div>Generative AI (GAI) is an upcoming field and its impact on marketing is indisputable. Very little evidence in academic literature is present regarding the factors affecting the usage of GAI in Digital Marketing (DM). This study addresses this gap by exploring the key drivers and barriers associated with using GAI in DM. Leveraging Behavioral Reasoning Theory (BRT), the research validates prior findings and introduces a conceptual model outlining factors that shape attitudes toward adopting GAI in DM to enhance customer experiences.</div><div>A qualitative inductive approach was undertaken by conducting expert interviews to investigate the “reasons for” and ‘reasons against’ using GAI in DM and its impact on customer experience. The transcripts generated were manually coded and a deductive thematic analysis was done using the BRT as the theoretical framework.</div><div>The findings indicate four significant themes for adopting GAI in digital marketing viz: innovation, creative communication and content creation, speed, efficiency and timesaving, enhanced customization and personalization; predictive analytics and simulation. It also indicates five significant themes related to the key barriers were also identified viz: ethics and infringement of Intellectual Property; security and deepfake; learning ecosystem for the adoption of new technology; quality of data; reduced manpower requirement. The study further highlights how GAI influences customer experience in DM.</div><div>This study contributes to the field by (a) proposing a conceptual framework for applying GAI in DM to improve customer experiences, (b) examining the drivers and challenges of GAI adoption in DM, and (c) presenting a research agenda to guide future studies. These insights offer value to researchers, marketing practitioners, and academics navigating the dynamic intersection of GAI and Digital Marketing</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100317"},"PeriodicalIF":0.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096268","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}

引用次数: 0

Is software design gender biased? A study on software-design effect on task performance 软件设计有性别偏见吗？软件设计对任务绩效的影响研究

International Journal of Information Management Data Insights Pub Date : 2024-12-12 DOI: 10.1016/j.jjimei.2024.100312

Samaa Elnagar

{"title":"Is software design gender biased? A study on software-design effect on task performance","authors":"Samaa Elnagar","doi":"10.1016/j.jjimei.2024.100312","DOIUrl":"10.1016/j.jjimei.2024.100312","url":null,"abstract":"<div><div>Software design is critical to the development of software. However, existing literature highlighted the presence of gender bias in software design, which might be causing differences in task performance between males and females. Supported by theories such as the cognitive load theory, emotional design theory, and the Aesthetic-Usability Effect, this research aims to explore the potential disparities in task performance between males and females. The study developed two tasks using two different software in terms of user friendliness. The study was performed on two groups that possessed comparable educational backgrounds and professional experiences. The investigation encompassed two tasks aimed at evaluating performance in both professional and domestic contexts. Through the application of structural equation modeling and a range of statistical analyses, the study identified disparities among females, including high perception of cognitive load and lack of emotional design. The study emphasizes on the importance of incorporating phycological cognitive differences in design and ensuring inclusive design personas in software design. Addressing the cognitive and emotional aspects of software design will reduce task performance discrepancies and shift the misbelief that task performance discrepancies are attributable to gender-based intellectual differences, rather than deficiencies in software design.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100312"},"PeriodicalIF":0.0,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096271","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}

引用次数: 0

Digital marketing strategies for luxury fashion brands: A systematic literature review 奢侈时尚品牌的数字营销策略：系统的文献综述

International Journal of Information Management Data Insights Pub Date : 2024-12-06 DOI: 10.1016/j.jjimei.2024.100309

Fung Yi Tam, Jane Lung

引用次数: 0

How digital technologies and AI contribute to achieving the health-related SDGs 数字技术和人工智能如何促进实现与卫生相关的可持续发展目标

International Journal of Information Management Data Insights Pub Date : 2024-11-29 DOI: 10.1016/j.jjimei.2024.100298

Philipp Koebe

{"title":"How digital technologies and AI contribute to achieving the health-related SDGs","authors":"Philipp Koebe","doi":"10.1016/j.jjimei.2024.100298","DOIUrl":"10.1016/j.jjimei.2024.100298","url":null,"abstract":"<div><div>Enhancing global health stands as a pivotal objective within the United Nations' Sustainable Development Goals (SDGs). In the wake of the ongoing digital transformation across various spheres of life, the incorporation of new digital technologies and the utilization of artificial intelligence hold the potential to contribute significantly to the attainment of these objectives. Leveraging the scalability inherent in digital business models, coupled with the widespread adoption of smartphones, facilitates the broad dissemination of digital healthcare services, even within emerging and developing nations. This inquiry adopts a quantitative research methodology to examine the implications of this phenomenon. In 2023, a cohort of 103 experts within German-speaking countries participated in an online survey, offering their insights into the impact of digitalization on health-related sustainability goals. The survey encompassed an assessment of the influence of digital technologies and AI on 13 sub-goals within the health domain, as well as on six additional SDGs. The comprehensive evaluation revealed that all 19 sub-goals exhibit a discernible medium to high impact. The analysis underscores that domains such as education and early warning systems are particularly amenable to digital interventions. Conversely, endeavors targeting the reduction of tobacco consumption or drug abuse may benefit from complementary measures. Conclusively, this study not only presents a developmental perspective on modeling but also formulates ten actionable recommendations, elucidating potential avenues for advancing the integration of digital technologies and artificial intelligence to enhance health-related sustainability goals.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100298"},"PeriodicalIF":0.0,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142744048","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}

引用次数: 0

Monitoring semantic relatedness and revealing fairness and biases through trend tests 通过趋势测试监测语义相关性，揭示公平性和偏见

International Journal of Information Management Data Insights Pub Date : 2024-11-28 DOI: 10.1016/j.jjimei.2024.100305

Jean-Rémi Bourguet , Adama Sow

引用次数: 0

Fraud detection skills of Thai Gen Z accountants: The roles of digital competency, data science literacy and diagnostic skills 泰国 Z 世代会计师的欺诈侦查技能：数字能力、数据科学素养和诊断技能的作用

International Journal of Information Management Data Insights Pub Date : 2024-11-26 DOI: 10.1016/j.jjimei.2024.100308

Narinthon Imjai , Watcharawat Promma , Nimnual Visedsun , Berto Usman , Somnuk Aujirapongpan

{"title":"Fraud detection skills of Thai Gen Z accountants: The roles of digital competency, data science literacy and diagnostic skills","authors":"Narinthon Imjai , Watcharawat Promma , Nimnual Visedsun , Berto Usman , Somnuk Aujirapongpan","doi":"10.1016/j.jjimei.2024.100308","DOIUrl":"10.1016/j.jjimei.2024.100308","url":null,"abstract":"<div><div>The issue of accounting fraud presents a significant challenge within the business sector, prompting an increase in scholarly investigations across various contexts. Despite this growing interest, research specifically addressing the Thai context has remained scarce. Thus, this quantitative study aimed to bridge this gap by assessing the proficiency of Thai Gen Z accountants in detecting accounting fraud, with a particular emphasis on their digital, data science, and diagnostic skills. The study collected data from 150 participants using a structured survey questionnaire distributed to licensed accountants affiliated with the Thailand accounting program. It adopted a theoretical framework inspired by social learning theory and information processing theory to examine both direct and mediated relationships among the key variables under investigation. The results were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine these relationships. The results showed that digital competency have significant direct effects on the fraud detection skills, with diagnostic skills playing a key role in the process. The study revealed that digital competency not only furnishes accountants with necessary technological expertise but also bolsters their analytical skills, which are vital for identifying fraudulent activities. Likewise, data science literacy—encompassing skills in predictive analytics, big data management, and data insight communication—significantly enhances accountants' capacity to identify and understand fraudulent patterns. The emergent role of diagnostic skills as a key intermediary emphasizes the importance of comprehensive training programs that foster both technical prowess and critical analytical thinking.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100308"},"PeriodicalIF":0.0,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142721938","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}

引用次数: 0

A machine learning algorithm for personalized healthy and sustainable grocery product recommendations 用于个性化健康和可持续杂货产品推荐的机器学习算法

International Journal of Information Management Data Insights Pub Date : 2024-11-20 DOI: 10.1016/j.jjimei.2024.100303

Laura Z.H. Jansen , Kwabena E. Bennin

{"title":"A machine learning algorithm for personalized healthy and sustainable grocery product recommendations","authors":"Laura Z.H. Jansen , Kwabena E. Bennin","doi":"10.1016/j.jjimei.2024.100303","DOIUrl":"10.1016/j.jjimei.2024.100303","url":null,"abstract":"<div><div>Nowadays, retailers try to optimize the shopping experience for consumers by offering personalized services. Recommending food options, i.e. providing consumers suggestions on what products to buy, is one of such services. Food recommender systems for grocery shopping are typically preference-based, using consumers' shopping history to determine what products they would like. These systems can predict well what a consumer would potentially like to buy, however, they do not stimulate consumers to buy healthier or more sustainable food options. In response to increasing global concerns about public health and sustainability, this paper aims to integrate healthiness and sustainability levels of food options in recommender systems to encourage consumers to buy better food options. To assess the impact of integrating healthiness and sustainability information of food choices in predicting an item to buy, we employ three food recommendation models: a Baseline popularity-based model, Restricted Boltzmann Machine (RBM), and Variational Bayesian Context-Aware Representation (VBCAR) based on (1) preferences, (2) preferences and health, (3) preferences and sustainability, and (4) all combined attributes. Models were trained and tested using two different datasets: Instacart and a Dutch supermarket dataset. The experimental results indicate improved performance for VBCAR compared to Baseline and RBM. Models that emphasize healthiness and/or sustainability of food choices do not significantly alter model performance compared to preference-based models. The results of the health and sustainability-based recommender systems demonstrate the potential of recommender systems to assist people in finding healthier and more sustainable products that are also suited to their preferences.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100303"},"PeriodicalIF":0.0,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142703788","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}

引用次数: 0

User-driven technology in NGOs—A computationally intensive theory approach 非政府组织中的用户驱动技术--计算密集型理论方法

International Journal of Information Management Data Insights Pub Date : 2024-11-17 DOI: 10.1016/j.jjimei.2024.100307

Marie-E. Zubler (née Godefroid) , Julian Koch , Ralf Plattfaut

{"title":"User-driven technology in NGOs—A computationally intensive theory approach","authors":"Marie-E. Zubler (née Godefroid) , Julian Koch , Ralf Plattfaut","doi":"10.1016/j.jjimei.2024.100307","DOIUrl":"10.1016/j.jjimei.2024.100307","url":null,"abstract":"<div><div>Non-governmental organizations (NGOs) typically have restrained information and communication technology (ICT) budgets and resources. At the same time, they face high pressure to reduce administrative costs. A possible solution to the resulting conundrum could be user-driven technology. This term describes a selection of technologies, including intelligent process automation, low-code platforms, and business intelligence tools that push innovation and user-centricity by letting operational employees directly deploy comparably cheap solutions without the need for central ICT support. Practitioner literature indicates, however, that user-driven technologies are lagging in the social sector despite evidence from some individual success stories published by researchers. Thus, a systematic assessment of user-driven technologies within NGOs and of potential challenges in their introduction is necessary. To close this research gap, we employ the method of computationally intensive theory construction, combining data mining with qualitative interviews. Results indicate that user-driven technologies are indeed lagging and that forming a problem-mindset and creating adequate governance structures are the main challenges to their introduction within NGOs.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100307"},"PeriodicalIF":0.0,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142664169","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}

引用次数: 0