{"title":"Grass is always dark(er) on the other side: Exploring the dark side of artificial intelligence humanitarian supply chain operations","authors":"Abhishek Behl , Shikha Bhardwaj , Nirma Jayawardena , Vijay Pereira , Mohammad Roohanifar","doi":"10.1016/j.techfore.2025.124484","DOIUrl":"10.1016/j.techfore.2025.124484","url":null,"abstract":"<div><div>Humanitarian supply chains (HSCs) have undergone significant changes over the years, shifting from traditional systems to more intelligent and, eventually, AI-enabled operations. With technological advancements accelerating across sectors, humanitarian organizations have also begun adopting artificial intelligence (AI) to enhance their workflows, improve efficiency, and reduce losses. While much of the existing research has focused on the benefits of AI in business and logistics, there is still limited understanding of its potential downsides—particularly within humanitarian settings. This study addresses that gap by exploring how AI may negatively affect HSC activities, both at the individual (micro) and organizational (macro) levels. To guide our analysis, we draw on the Belief-Action-Outcome (BAO) framework, which helps connect personal and institutional beliefs to actions and resulting outcomes. Humanitarian supply chains operate in complex environments where technology use intersects with human behavior, organizational culture, and social values. To better understand these dynamics, we conducted qualitative interviews with professionals working in humanitarian organizations. These insights allowed us to identify and map various challenges—what we refer to as the “dark side” of AI—onto specific functions within HSC operations. Our findings not only highlight areas of concern but also contribute to the broader application of the BAO model in the humanitarian field.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"224 ","pages":"Article 124484"},"PeriodicalIF":13.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Safiya Alshibani , Abhishek Bhushan Singhal , Bhumika Gupta , Armando Papa , Manlio Del Giudice
{"title":"Prioritizing interoperable AI-driven solutions for sustainable circular economy in the public sector","authors":"Safiya Alshibani , Abhishek Bhushan Singhal , Bhumika Gupta , Armando Papa , Manlio Del Giudice","doi":"10.1016/j.techfore.2025.124513","DOIUrl":"10.1016/j.techfore.2025.124513","url":null,"abstract":"<div><div>Although digital transformation using artificial intelligence (AI) presents numerous opportunities to enhance public services and align them with circular economy (CE) goals, there are various challenges that make such digital integrations tedious and slow. Various technical, organizational and policy factors for AI integration in CE-aligned public governance have been explored in silos and their interrelationships and dependencies are not widely reported. Hence the study identifies upstream/downstream drivers for a sustainable circular economy and examines causal influence of each driver and further identifies boundary-linking drivers. Fifteen prominent factors reported in literature and validated by 102 experts from academia and industry for their cause effect relationship. The causal relationship is identified using Decision-Making Trial and Evaluation Laboratory (DEMATEL) analysis. The findings are reported as a hierarchy of cause-and-effect groups based on their influence in the system. Privacy and Security Concerns, Feedback Loops, Data Interoperability and Training and Digital Literacy are reported as major drivers. The most affected dependent variable Urban Infrastructure Planning, National Goal Alignment, Standardized Data Protocols, AI-based Energy Optimization, Policy Support for AI Adoption, AI in Waste Management and Cross-Agency Data Sharing Capability are reported as effect variables. This study provides a comprehensive framework of causality by mapping interdependencies, revealing the underlying enablers and the downstream operational results. For practitioners, the results of this study, provide an evidence-based, stepwise roadmap that can help in the sequencing of strategic investment and policy deployment for achieving circular economy goals through digital transformations using AI.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"224 ","pages":"Article 124513"},"PeriodicalIF":13.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shizhen Bai , Jiamin Zhou , Chunjia Han , Mu Yang , Chen Wang , Brij B. Gupta
{"title":"From information to operations: Exploring the impact of integrated AI-HI on information diffusion and users' willingness in humanitarian aid","authors":"Shizhen Bai , Jiamin Zhou , Chunjia Han , Mu Yang , Chen Wang , Brij B. Gupta","doi":"10.1016/j.techfore.2025.124501","DOIUrl":"10.1016/j.techfore.2025.124501","url":null,"abstract":"<div><div>The advancement in AI usage and technological capabilities has provided greater convenience in the diffusion of information within humanitarian aid operations, offering aid workers expanded operational possibilities and improving the efficiency of response. Consequently, experts in the field suggest that integrating AI and HI represents the next major development in humanitarian aid. Unfortunately, there is currently a lack of research exploring the integration of AI within communication platforms as an information hub, leaving a gap for both aid workers and scholars. To address this gap, this study, based on the concept of perceived affordances and combined with affordance theory, investigates the interaction and overlay of AI and communication platforms. We conducted three studies in an online environment using real disaster relief videos and simulated communication platforms. Our findings indicate that the integration of AI (vs. Without AI) in communication platforms functioning as information hubs enhances perceived affordances. Specifically, AI improves perceived visibility and perceived editability, which in turn increases aid workers' willingness to exchange information and use the platform. Moreover, the facilitating effect of AI integration is less constrained by the actual level of affordances. Additionally, time pressure moderates these effects. Our study contributes to the field of humanitarian aid.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"224 ","pages":"Article 124501"},"PeriodicalIF":13.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ville Heilala , Riitta Kelly , Miitta Järvinen , Raija Hämäläinen
{"title":"Toward closing the zipper: Technology readiness and diverse technology use of university students in terms of academic major and gender","authors":"Ville Heilala , Riitta Kelly , Miitta Järvinen , Raija Hämäläinen","doi":"10.1016/j.techfore.2025.124493","DOIUrl":"10.1016/j.techfore.2025.124493","url":null,"abstract":"<div><div>Emerging technologies have the potential to transform education, and individuals with different technological orientations and backgrounds should have equal opportunities to harness the benefits. However, the underlying personal characteristics that potentially contribute to differences in technology adoption beyond the issues of technology access and skills have received less attention, especially in a context where access to technology and the possibility of acquiring necessary skills can be considered common. In this study, we found significant variation in university students' technology readiness in Finland regarding their field of study and gender. Students in information technology and natural sciences exhibited higher technology readiness than students in other fields. Also, men reported higher technology readiness than women, especially in innovativeness, suggesting a tendency to adopt new technologies before others. Findings underscore the need to consider the interplay between individual differences in technology readiness and the adoption of novel technologies in education because of a potential risk that individual and technological factors may drive and perpetuate the digital divide. The study concludes with the proposition of the Zipper Model of Digital Equity, which illustrates the digital divide and ongoing efforts toward digital equity in education.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"224 ","pages":"Article 124493"},"PeriodicalIF":13.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Responsible AI and employee service innovation behavior: A sequential mediation model of AI self-efficacy and AI crafting","authors":"Yong Xu , Peijun Xie , Rana Muhammad Naeem , Intesar Almugren , Zahid Hameed , Shivani Agarwal","doi":"10.1016/j.techfore.2025.124470","DOIUrl":"10.1016/j.techfore.2025.124470","url":null,"abstract":"<div><div>While the use of artificial intelligence (AI) has become an effective tool for transforming individuals and organizations, adopting a responsible approach to AI systems is imperative. Drawing on conservation of resources theory and social learning theory, this study examines how responsible AI enhances employees' service innovation behavior via employee AI self-efficacy and employee AI crafting, with a particular focus on the moderating role of leader AI crafting. We tested the proposed relationships using structural equation modeling with data collected from 335 U.S. employees working in various service organizations. The findings demonstrate that the indirect effect of responsible AI on employee service innovation behavior is mediated serially by employee AI self-efficacy and employee AI crafting. Furthermore, leader AI crafting strengthens the positive relationship between responsible AI and employee AI self-efficacy. This study contributes to the AI and management literature by highlighting the importance of responsible AI systems in promoting service innovation behavior among employees. This study addresses both theoretical and practical dimensions, as well as proposing directions for future research.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"224 ","pages":"Article 124470"},"PeriodicalIF":13.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhe Sun , Lei Liu , Liang Zhao , Hind Alofaysan , Bhumika Gupta
{"title":"Generative AI and ESG opportunism in supply chains: A utilitarian perspective on unintended consequences for sustainability","authors":"Zhe Sun , Lei Liu , Liang Zhao , Hind Alofaysan , Bhumika Gupta","doi":"10.1016/j.techfore.2025.124498","DOIUrl":"10.1016/j.techfore.2025.124498","url":null,"abstract":"<div><div>Existing research has overwhelmingly emphasized the positive effects of generative artificial intelligence (AI) on corporate environmental, social, and governance (ESG) performance, while largely neglecting the risk of dimensional imbalance in ESG resource allocation and its potential contagion across supply chains. Drawing on utilitarian theory, this study introduces the novel concept of ESG opportunism and empirically examines the impact of generative AI adoption on its emergence and intensity. Results show that generative AI significantly heightens firms' opportunistic ESG behavior by increasing agency costs and weakening internal controls. This relationship is further amplified by stringent government environmental regulations and strong green investor preferences yet attenuated by greater analyst attention and higher-quality information disclosure. Moreover, a clear supply chain spillover effect is identified: generative AI adoption by focal firms transmits and intensifies ESG opportunism among both upstream suppliers and downstream customers. By challenging the dominant optimistic narrative surrounding generative AI's ESG implications, this study offers timely and critical insights for establishing responsible generative AI governance throughout global supply chains.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"224 ","pages":"Article 124498"},"PeriodicalIF":13.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hua-Tang Yin , Jun Wen , Guo-Hua Ni , Chun-Ping Chang
{"title":"How do economic sanctions affect corporate innovation? Lessons from China","authors":"Hua-Tang Yin , Jun Wen , Guo-Hua Ni , Chun-Ping Chang","doi":"10.1016/j.techfore.2025.124516","DOIUrl":"10.1016/j.techfore.2025.124516","url":null,"abstract":"<div><div>This paper employs a panel dataset of Chinese listed firms to investigate the impact that economic sanctions have on corporate innovation, along with its mechanisms and conditionalities. It is found that economic sanctions exert a significant negative effect on corporate innovation output. Such an effect mainly stems from the decline in innovation efficiency caused by economic sanctions, rather than a reduction in innovation inputs. Further exploration for their mechanisms reveals that sanctions-induced perceived uncertainty weakens entrepreneurial spirit, exacerbates investor myopia, and reduces firms' slack resources, thereby lowering innovation efficiency. Moreover, our heterogeneity analysis with respect to personnel and incentive arrangements suggests that stable executive teams, greater employee profit sharing, and better employee benefits enhance firms' resilience to innovation challenges under sanctions. Going a step further, we examine the conditionalities regarding institutional quality. An inclusive, open, and fair competitive business environment helps mitigate the adverse effects of economic sanctions on corporate innovation.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"224 ","pages":"Article 124516"},"PeriodicalIF":13.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Umair Tanveer , Thinh Gia Hoang , Shamaila Ishaq , Muhammad Mustafa Kamal , Rekha Attri
{"title":"Corrigendum to “Enhancing supplier innovation capabilities through digital technology integration: A relational perspective” [Technol. Forecast. Soc. Change 223 (February 2026) 124426]","authors":"Umair Tanveer , Thinh Gia Hoang , Shamaila Ishaq , Muhammad Mustafa Kamal , Rekha Attri","doi":"10.1016/j.techfore.2025.124473","DOIUrl":"10.1016/j.techfore.2025.124473","url":null,"abstract":"","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"224 ","pages":"Article 124473"},"PeriodicalIF":13.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145973146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of relationship dynamics on policy reform for sustainable innovation in public healthcare in China: Social exchange theory perspective","authors":"Sheng Zheng , Mujahid Mohiuddin Babu , Alexandre Metreveli , Bidit Lal Dey , Dimitrios Koufopoulos","doi":"10.1016/j.techfore.2025.124500","DOIUrl":"10.1016/j.techfore.2025.124500","url":null,"abstract":"<div><div>The Chinese government is dedicated to fostering sustainable innovation within the public healthcare and pharmaceutical sectors to safeguard public interests. However, current policies governing the pharmaceutical industry have inadequately addressed critical issues related to stakeholder dynamics and sustainable innovation performance. This study investigates how policy reform can enhance the dynamic relationships among stakeholders in China's public healthcare system, aiming to devise actionable and detailed tasks while minimizing conflicts to encourage sustainable innovation. This research presents the findings of in-depth interviews conducted with 50 participants from key stakeholders in China's public health sector, including government officials, hospital representatives, executives from state-owned pharmaceutical companies, and healthcare professionals. The findings offer valuable insights for practitioners, policymakers, and academics regarding the application of social exchange elements—such as power, trust, reputation, reciprocity, and commitment—in understanding the necessity of integrating relationship dynamics into policy design and reform within the supply chain network, all while protecting public interests. Furthermore, the study emphasizes the shortcomings of the existing policy framework and presents compelling arguments for reforms that actively involve key stakeholders in the public healthcare and pharmaceutical industries.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"224 ","pages":"Article 124500"},"PeriodicalIF":13.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mattia Vincenzo Olive , Luca Gastaldi , Francesco Paolo Appio
{"title":"Relational coordination in medical work: The role of digital health practices","authors":"Mattia Vincenzo Olive , Luca Gastaldi , Francesco Paolo Appio","doi":"10.1016/j.techfore.2025.124508","DOIUrl":"10.1016/j.techfore.2025.124508","url":null,"abstract":"<div><div>The increasing specialization of medical work has amplified the complexity of coordination among healthcare professionals, making its effectiveness a persistent challenge. Digital health technologies – including telemedicine, electronic medical records and generative artificial intelligence – have been introduced to facilitate coordination, yet their impact on relational coordination remains debated. While some studies highlight their potential to enhance structured communication and information sharing, others point to risks such as communication silos, depersonalization and cognitive overload. This study integrates Relational Coordination Theory with the sociomateriality paradigm to examine how digital health practices shape relational coordination among healthcare professionals. Leveraging survey data from a sample of Italian specialist doctors, we analyze the effects of distinct digital health practices (quantification, connectivity and instantaneity) on relational coordination. Our findings reveal that digital health practices exert heterogeneous effects. Consulting and collaborating at a distance through telemedicine positively influences relational coordination, whereas monitoring and visualizing patient data may introduce complexities rather than improving coordination. The role of EMRs and generative AI appears more ambiguous, with mixed evidence regarding their capacity to sustain relational coordination. These findings underscore the need to further understand how digital health practices are integrated into clinical work and their implications for coordination processes.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"224 ","pages":"Article 124508"},"PeriodicalIF":13.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}