International Journal of Information Management Data Insights最新文献

How digital technologies and AI contribute to achieving the health-related SDGs

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

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

Examining the effect of AI-BDA on manufacturing firm performance: An Indian approach 研究人工智能-BDA 对制造业公司业绩的影响：印度的方法

International Journal of Information Management Data Insights Pub Date : 2024-11-16 DOI: 10.1016/j.jjimei.2024.100306

Vaibhav S. Narwane , Pragati Priyadarshinee

{"title":"Examining the effect of AI-BDA on manufacturing firm performance: An Indian approach","authors":"Vaibhav S. Narwane , Pragati Priyadarshinee","doi":"10.1016/j.jjimei.2024.100306","DOIUrl":"10.1016/j.jjimei.2024.100306","url":null,"abstract":"<div><div>Manufacturing firms face an uncertain and continuosly changing environment because of innovations, technological changes, and globalization. To cope with this quick and uncertain environment, firms need to be flexible. Artificial Intelligence (AI) and Big Data Analytics (BDA) are must for manufacturing firms to achieve the flexibility in procurement to manufacturing to marketing. This study explores role of AI-BDA played between Supply Chain Flexibility (SCF) and Supply chain firms performance(SCFP) through six hypothesis. A sample data of 297 responses from forty Indian manufacturing firms were collected. Exploratory and confirmatory factorial analysis were used to analyse the collected data. Out of six hypothesis, four hypothesis are supported. The results show positive impact of AI, BDA and SCF on supply chain firm performance. Also AI positively impacts on BDA. However two hypothesis not supported are positive effect of AI and BDA on SCF needs further investigated. The study can guide decision makers to understand role of AI and BDA to improve supply chain performance.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"5 1","pages":"Article 100306"},"PeriodicalIF":0.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142664168","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

Blockchain-based conceptual model for enhanced transparency in government records: a design science research approach 基于区块链的提高政府记录透明度概念模型：一种设计科学研究方法

International Journal of Information Management Data Insights Pub Date : 2024-11-14 DOI: 10.1016/j.jjimei.2024.100304

Eid M Alotaibi , Hussein Issa , Mauricio Codesso

引用次数: 0

Enhancing gender equity in resume job matching via debiasing-assisted deep generative model and gender-weighted sampling 通过去伪存真辅助深度生成模型和性别加权抽样加强简历职位匹配中的性别平等

International Journal of Information Management Data Insights Pub Date : 2024-11-01 DOI: 10.1016/j.jjimei.2024.100283

Swati Tyagi , Anuj , Wei Qian , Jiaheng Xie , Rick Andrews

{"title":"Enhancing gender equity in resume job matching via debiasing-assisted deep generative model and gender-weighted sampling","authors":"Swati Tyagi , Anuj , Wei Qian , Jiaheng Xie , Rick Andrews","doi":"10.1016/j.jjimei.2024.100283","DOIUrl":"10.1016/j.jjimei.2024.100283","url":null,"abstract":"<div><div>Our work aims to mitigate gender bias within word embeddings and investigates the effects of these adjustments on enhancing fairness in resume job-matching problems. By conducting a case study on resume data, we explore the prevalence of gender bias in job categorization—a significant barrier to equal career opportunities, particularly in the context of machine learning applications. This study scrutinizes how biased representations in job assignments, influenced by a variety of factors such as skills and resume descriptors within diverse semantic frameworks, affect the classification process. The investigation extends to the nuanced language of resumes and the presence of subtle gender biases, including the employment of gender-associated terms, and examines how these terms’ vector representations can skew fairness, leading to a disproportionate mapping of resumes to job categories based on gender.</div><div>Our findings reveal a significant correlation between gender discrepancies in classification true positive rate and gender imbalances across professions that potentially deepen these disparities. The goal of this study is to (1) mitigate bias at the level of word embeddings via a debiasing-assisted deep generative modeling approach, thereby fostering more equitable and gender-fair vector representations; (2) evaluate the resultant impact on the fairness of job classification; (3) explore the implementation of a gender-weighted sampling technique to achieve a more balanced representation of genders across various job categories when such an imbalance exists. This approach involves modifying the data distribution according to gender before it is input into the classifier model, aiming to ensure equal opportunity and promote gender fairness in occupational classifications. The code for this paper is publicly available on <span><span>GitHub</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100283"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561043","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

Metaverse in financial industry: Use cases, value, and challenges 金融业的 Metaverse：用例、价值和挑战

International Journal of Information Management Data Insights Pub Date : 2024-10-26 DOI: 10.1016/j.jjimei.2024.100302

Mubashar Iqbal , Sabah Suhail , Fredrik Milani , Yana Halas

引用次数: 0

Overview of the future impact of wearables and artificial intelligence in healthcare workflows and technology 可穿戴设备和人工智能对医疗保健工作流程和技术的未来影响概述

International Journal of Information Management Data Insights Pub Date : 2024-10-18 DOI: 10.1016/j.jjimei.2024.100294

Perry A. LaBoone, Oge Marques

引用次数: 0