Maria Anna Lykourentzou , Nikolaos Apostolopoulos , Marina Dabić , Panagiotis Liargovas , Metka Tekavčič
{"title":"Assessing the role of human factor in digital transformation projects: A systematic literature review and research agenda","authors":"Maria Anna Lykourentzou , Nikolaos Apostolopoulos , Marina Dabić , Panagiotis Liargovas , Metka Tekavčič","doi":"10.1016/j.techsoc.2025.102934","DOIUrl":"10.1016/j.techsoc.2025.102934","url":null,"abstract":"<div><div>Extensive research has been conducted on key corporate factors that have been impacted, and ultimately transformed, by digital transformation projects. These factors have been broadly analysed as distinct categories, the combination of which has led to a quad-factor model, which has already been introduced to applicators for the future successful delivery of digital transformation projects. Following a structured evaluation model of articles, this study presents a systematic literature review of 183 academic articles published between 2014 and 2023 to assess whether this quad-factor model provides a sufficiently robust framework for successful application of a digital transformation project, or whether the human factor needs to be introduced as the fifth independent factor supporting a project's results. Moreover, this study proposes a theoretical penta-factor model as a conceptual framework which presents human factor to have an equal contribution to the success of a digital transformation project. This will be helpful to future applicators in their efforts to design and deliver successful digital transformation projects with enhanced success and acceptance rates across the corporate ecosystem. Contributing to this highly relevant topic, the study summarises the ongoing trends in digital transformation projects and proposes promising avenues for future research.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102934"},"PeriodicalIF":10.1,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring the impact of technological convergence on General-Purpose Technologies: A multi-level generality perspective","authors":"Pattharaporn Wipatkrut, Hsin-Ning Su","doi":"10.1016/j.techsoc.2025.102933","DOIUrl":"10.1016/j.techsoc.2025.102933","url":null,"abstract":"<div><div>This study examines the role of technological convergence in the emergence and evolution of General-Purpose Technologies (GPTs). Utilizing patent data from 2010 to 2019, it investigates how cross-disciplinary integration facilitates knowledge diffusion and innovation across industries, assignees, technological domains, and national boundaries. Patent generality and technological distance are employed as proxies for convergence, capturing the extent to which heterogeneous knowledge inputs contribute to the breadth and adaptability of emerging technologies. The findings indicate that technological convergence significantly enhances both the generality and value of GPT-related patents. These results underscore the critical importance of cross-disciplinary collaboration in fostering global innovation networks and enabling cross-sectoral technological advancement. The study offers policy-relevant insights for optimizing research and development strategies aimed at accelerating broad-based economic and industrial transformation.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102933"},"PeriodicalIF":10.1,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Service robots in healthcare: Toward a healthcare service robot acceptance model (sRAM)","authors":"Weng Marc Lim , K. Mohamed Jasim , A. Malathi","doi":"10.1016/j.techsoc.2025.102932","DOIUrl":"10.1016/j.techsoc.2025.102932","url":null,"abstract":"<div><div>Our research examines the perceptions and intentions surrounding the use of healthcare service robots. Guided by service robot acceptance model (sRAM) and stimulus-organism-response (S-O-R) model, we explore how perceptions of functional, social, emotional, and robotic features of service robots shape their trust and use in healthcare. Our research incorporated data from 398 responses collected via an online questionnaire, which was analyzed using partial least squares structural equation modeling (PLS-SEM) through the SmartPLS software, revealing that functional (ease of use), emotional (anxiety and enjoyment), and social (social interactivity and presence) features significantly influence healthcare service robots trust and use. Contrarily, usefulness—a functional feature—had no significant role in shaping healthcare service robots trust and use. Nevertheless, trust mediated perceptions relating to anxiety, ease of use, enjoyment, social interactivity, and social presence with healthcare service robots use. Interestingly, anthropomorphism—a robotic feature—had no moderating effect while subjective norms—a non-robotic feature—only moderated the impact of social interactivity on healthcare service robots use. Conclusively, our research organizes sRAM antecedents into clear, discrete categories (functional, emotional, and social) and delivers a comprehensive, structured acceptance model. This new and novel model supports systematic theory development and comparability in healthcare service robot research while also offering critical implications for enhancing the integration and utilization of service robots within healthcare.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102932"},"PeriodicalIF":10.1,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hybrid machine learning and MCDM framework for consumer preference extraction and decision support in dynamic markets","authors":"Zheng Wang , Huiran Liu , Xiaojun Fan","doi":"10.1016/j.techsoc.2025.102926","DOIUrl":"10.1016/j.techsoc.2025.102926","url":null,"abstract":"<div><div>With the rapid development of e-commerce and digital consumption, online reviews have become an important channel for consumers to express their opinions and for businesses to understand market dynamics. However, the surge in review volume—resulting in information overload and a large amount of irrelevant content—has severely hindered the accurate identification of genuine consumer preferences, directly affecting the accuracy of product design, marketing, and resource allocation decisions. To address this challenge, this paper proposes an innovative hybrid framework that integrates information entropy, a binary classification model, PCA combined with K-means clustering, the BERT-wwm-ext sentiment analysis model, and multi-criteria decision-making (MCDM) methods, aiming to enhance the accuracy of preference analysis and the reliability of decision-making in the context of digital consumption. The framework tackles three key challenges: bias in traditional evaluations of perceived useful information, incompleteness in preference feature extraction, and inaccuracies in preference weight calculation. A comprehensive analysis of over 70,000 online customer reviews sourced from platforms such as the Apple App Store and JD.com validates the framework, showing that it outperforms existing models in predicting perceived usefulness, uncovering hidden product attributes, and refining feature weight calculations. This study not only provides robust data support for enterprises in product optimization and targeted marketing, but also offers decision makers a scientifically grounded framework for product management and efficient resource allocation that better aligns with consumer needs.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102926"},"PeriodicalIF":10.1,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The power of digital nativeness: Exploring how millennials mitigate psychic distance in cross-border electronic commerce","authors":"Jeong Hugh HAN , Po-Lin Lai","doi":"10.1016/j.techsoc.2025.102917","DOIUrl":"10.1016/j.techsoc.2025.102917","url":null,"abstract":"<div><div>CBEC has experienced significant growth, establishing itself as an important component of international trade. Behind this expansion, digitally native millennial consumers have been one of the driving forces. However, existing literature lacks a comprehensive understanding of the ways millennials leverage their digital traits in CBEC. To address this gap, we explore how millennials enhance their purchase intentions in CBEC through the novel concept of digital nativeness. Our research model, supported by generation cohort theory and construal level theory, was tested on 298 South Korean samples using partial least squares structural equation modelling (PLS SEM). Our study identifies digital nativeness as a key driver of digital engagement, which reduces psychic distance and enhance exploratory purchasing in CBEC. We also found that social and transactional distance significantly impact exploratory purchasing, while spatial and temporal distance do not. Theoretically, this paper outlines information power concept that highlights millennials' influence on CBEC growth. It also tackles the psychic distance paradox by positioning CBEC platforms as strategic tools designed for millennials. Managerially, it emphasizes to target millennials with tailored strategies based on prioritised psychic distance dimensions. It also suggests a harmonized global-local approach to enhance millennials’ engagement in CBEC.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102917"},"PeriodicalIF":10.1,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Soumili Ghosh , Rajat Kumar Behera , Pradip Kumar Bala , Nripendra P. Rana
{"title":"Adverse impacts of metaverse-induced cognitive biases on the immersive shopping experience: A conceptual model developed from a qualitative approach","authors":"Soumili Ghosh , Rajat Kumar Behera , Pradip Kumar Bala , Nripendra P. Rana","doi":"10.1016/j.techsoc.2025.102916","DOIUrl":"10.1016/j.techsoc.2025.102916","url":null,"abstract":"<div><div>Immersive shopping (IS) is the usage of simulation-based technology like metaverse to create interactive and highly personalised shopping experiences for customers wherein they spend quality time selecting the products, which increases their familiarity with the brand. When compared to a standard shopping experience, the IS experience (ISE) offers brick-and-mortar retailers a positive brand image. However, the metaverse can induce cognitive biases (CBs) in customers that can negatively influence their reasoning and decision-making. CB is the systematic error in thinking that occurs when people are processing and interpreting information during the shopping, which affects their decisions and judgments. Therefore, this study explores the adverse impacts of metaverse-induced CBs on ISE for brick-and-mortar retail customers. Using simple random sampling, data were collected from 20 customers, and a qualitative approach was used for data analysis. The finding produces three adverse impacts for ISE. First, metaverse-induced CBs create a digital divide between customer communities, and the integration of retail services with the metaverse further aggravates the risk of this divide. Second, metaverse-induced CBs create financial malfeasance, which makes the metaverse susceptible to financial biases. Third, metaverse-induced CBs increase business reputation risk by adversely impacting decision-making, strategy formulations, and outcomes.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102916"},"PeriodicalIF":10.1,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Degu Zewdu , Muralee Krishnan C , P.P. Nikhil Raj , Sudha Arlikatti , Tony McAleavy
{"title":"Climate-smart innovation practices and sustainable rural livelihoods: A systematic literature review","authors":"Degu Zewdu , Muralee Krishnan C , P.P. Nikhil Raj , Sudha Arlikatti , Tony McAleavy","doi":"10.1016/j.techsoc.2025.102914","DOIUrl":"10.1016/j.techsoc.2025.102914","url":null,"abstract":"<div><div>The scientific literature has long focused on how climate change would affect rural livelihoods. However, there is a considerable need to better understand the role of innovations and technologies in establishing climate-resilient livelihood systems. Climate-smart innovation practices not only facilitate the attainment of Sustainable Development Goal 13,\"Climate Action,\" but are also intrinsically linked to several other Sustainable Development Goals, including Goal 1,\"No Poverty,\" and Goal 2,\"Zero Hunger.\" Sustainable livelihood systems necessitate climate-smart innovations that foster resilience and adaptive capacity, thereby mitigating the effects of climate shocks. This systematic literature review explores how climate-smart innovations can help promote sustainable rural livelihoods. We used the Google Scholar, Scopus, and Science Direct databases to find information on the Boolean operators of climate-smart innovations and sustainable rural livelihoods. Seventy-eight articles published between 2008 and 2023 met the explicit criteria for inclusion. The findings showed that emphasising climate-smart technologies and sustainable practices improves rural livelihood resilience, minimises production risks, and increases producer incomes. Findings also revealed that while institutional innovations involve increasing access to resources, information, and markets, climate-smart innovations in agriculture, such as precision agriculture and sustainable farming practices, enable farmers to reduce input loss and increase production, offering promising solutions to the complex challenges of climate change and promoting economic prosperity in the rural livelihood sector. However, it is imperative to intensify efforts to mitigate the climate catastrophe by cultivating innovation in all domains. The efficient management of climate change necessitates the implementation of multidimensional climate-smart innovations. The study presents a critical step in providing important insights into the effectiveness of climate-smart innovations and technologies in the rural livelihood sectors.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102914"},"PeriodicalIF":10.1,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Reema Tayyem , Radwan Qasrawi , Haleama Al Sabbah , Malak Amro , Ghada Issa , Suliman Thwib , Siham Hani Atari , Khlood Bookari , Noor Alawadhi , Sabika Allehdan , Hana Trigui , Elie Sokhn , Yousef Khader , Eman Badran , Iman Kamel , Atiyeh Abdallah , Mohamed Jemaà , Emmanuel Musa , Jude Dzevela Kong
{"title":"The impact of digital literacy and internet usage on health behaviors and decision-making in Arab MENA countries","authors":"Reema Tayyem , Radwan Qasrawi , Haleama Al Sabbah , Malak Amro , Ghada Issa , Suliman Thwib , Siham Hani Atari , Khlood Bookari , Noor Alawadhi , Sabika Allehdan , Hana Trigui , Elie Sokhn , Yousef Khader , Eman Badran , Iman Kamel , Atiyeh Abdallah , Mohamed Jemaà , Emmanuel Musa , Jude Dzevela Kong","doi":"10.1016/j.techsoc.2025.102911","DOIUrl":"10.1016/j.techsoc.2025.102911","url":null,"abstract":"<div><h3>Background</h3><div>Digital literacy is essential for health behaviors and decision-making, particularly in Arab MENA countries, where access to digital resources varies considerably.</div></div><div><h3>Objective</h3><div>This study investigates the impact of digital literacy and internet usage on health behaviors across ten Arab countries, focusing on demographic and country-specific differences.</div></div><div><h3>Methods</h3><div>A cross-sectional survey of 12,522 respondents from Bahrain, Palestine, Lebanon, Jordan, Kuwait, the UAE, Saudi Arabia, Egypt, Morocco, and Tunisia was conducted using convenience sampling combined with the SMOTE-ENN technique to ensure balanced representation. The online questionnaire, available in Arabic and English, assessed internet access, digital literacy, and health behaviors.</div></div><div><h3>Results</h3><div>The findings reveal notable disparities in how digital literacy affects health outcomes. Overall, 40 % reported positive impacts of digital literacy on health behaviors, with males and older age groups showing higher positive perceptions. Notable country differences were observed: Egypt reported the highest positive impact (65.1 %), while Kuwait had the highest negative impact (25.3 %). Urban residents and those with higher education levels experienced more positive effects. Reliable internet access, social media, and health apps positively influenced health outcomes, particularly in Egypt and the UAE.</div></div><div><h3>Conclusion</h3><div>The findings emphasize the importance of enhancing digital health literacy, particularly for marginalized and underserved groups and communities. Improving internet access, fostering confidence in digital tools, and promoting critical evaluation of health information are crucial for positive health outcomes. This study offers key insights into the role of digital literacy in public health and highlights the need to address disparities in the Arab MENA region.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102911"},"PeriodicalIF":10.1,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143873867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AI-infused knowledge and green intellectual capital: pathways to spur accounting performance drawn from RBV-KBV model and sustainability culture","authors":"Saeed Awadh Bin-Nashwan , Jackie Zhanbiao Li","doi":"10.1016/j.techsoc.2025.102913","DOIUrl":"10.1016/j.techsoc.2025.102913","url":null,"abstract":"<div><div>AI-infused knowledge (AIK) systems have the potential to transform the way firms operate, providing dynamics for optimizing processes, enhancing decision-making, and fostering innovation. This shift can play a vital role in service-oriented contexts, like accounting firms. In this study, we aim to explore how AIK can drive green intellectual capital (GIC) aspects, spurring accounting firms’ performance related to environmental and sustainable practices. Drawn from the resource-based view (RBV) and knowledge-based view (KBV), sustainability culture (SUC) is integrated into the model as a moderator variable to provide an in-depth understanding of this matter. The study adopted a quantitative approach, data was collected through an online survey distributed to accounting professionals. The analysis shows interesting outcomes: AIK positively and significantly affected the internal dimensions of GIC, green human capital (GHC) and green structural capital (GSC) within accounting firms, while green rational capital (GRC) had no effect. In turn, these two internal dimensions, GHC and GSC, had a significant impact on accounting performance across various aspects, including efficiency, accuracy, compliance with environmental standards, innovation in reporting, and timeliness. Intriguingly, SUC was found to significantly moderate the association between GIC dimensions and accounting firm performance. The results of this research offer actionable insights for stakeholders and decision-makers, including accounting firms, clients, and the community at large. Accounting firms are highly recommended to adopt AI-infused platforms to foster GIC dynamics, specifically GHC and GSC. AI-infused knowledge tools have the potential to improve efficiency, accuracy, innovation in reporting, compliance with sustainability standards and timeliness, thus leading to better overall performance. Although service-oriented contexts, like accounting, have the potential to substantially benefit from GIC practices, research in such a significant discipline has been remarkably scarce.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102913"},"PeriodicalIF":10.1,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143873868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Panzhang Wang, Ziyun Li, Lei Yu, Jia Jiang, Xin Ma
{"title":"Factors affecting attitude and intention to adopt artificial intelligence for sustainable triage: An exploratory study of emergency department staff","authors":"Panzhang Wang, Ziyun Li, Lei Yu, Jia Jiang, Xin Ma","doi":"10.1016/j.techsoc.2025.102912","DOIUrl":"10.1016/j.techsoc.2025.102912","url":null,"abstract":"<div><div>Emergency departments (EDs) are facing increasing overcrowding, which can be mitigated by implementing AI-based self-check-in systems that save registration time and alleviate nursing workload. To that end, triage staff must adapt to the changes and adopt an augmented approach. This exploratory study investigates the key factors influencing triage nurses' attitudes and intentions towards adopting this new paradigm. Utilizing SmartPLS, a structural equation modeling technique based on partial least squares, we examined several factors that impact staff's attitude and intention. Our results indicate that task-technology fit has a significant positive impact on staff's attitude, followed by facilitating conditions and perceived explainability. Notably, perceived substitution crisis negatively influences behavioral intention and moderates the relationship between attitude and behavioral intention. This study makes a valuable contribution to existing literature by providing insights into the factors influencing ED staff's attitudes and intentions towards augmented triage intelligence. The findings have significant implications for healthcare policymakers and practitioners seeking to improve triage practices and ensure sustainability in EDs.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"82 ","pages":"Article 102912"},"PeriodicalIF":10.1,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}