{"title":"Keeping it real? Authenticity and well-being at work","authors":"Joseph Mellors , Tania Gaspar","doi":"10.1016/j.annals.2025.104012","DOIUrl":"10.1016/j.annals.2025.104012","url":null,"abstract":"","PeriodicalId":48452,"journal":{"name":"Annals of Tourism Research","volume":"114 ","pages":"Article 104012"},"PeriodicalIF":7.8,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809987","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}
Qing Li , Jie Lin , Chao Wang , Shuaiyong Xiao , Xiaoyan Jiang , Zijuan Hu
{"title":"Navigating the shifting landscape of multi-level user demands: A novel hybrid approach for identifying product opportunities and directions","authors":"Qing Li , Jie Lin , Chao Wang , Shuaiyong Xiao , Xiaoyan Jiang , Zijuan Hu","doi":"10.1016/j.jretconser.2025.104460","DOIUrl":"10.1016/j.jretconser.2025.104460","url":null,"abstract":"<div><div>In a highly competitive and frequently changing market environment, businesses need to precisely capture and dynamically track user demands in order to optimize products and maintain a competitive advantage. However, as product homogenization increases and replacement rates rise, the focus of user demands has extended from the overall experience to more fine-grained product features, and indicating a dynamic evolutionary trend. This research proposes a hybrid framework for identifying product improvement opportunities and optimization directions. First, we develop Multi-Level User Demands Extraction Model (MDEM) to automatically mine multi-level user demand features. Second, we introduce the Sentiment-Intensity-based Satisfaction Evaluation (SI-SE) and the Attention Measurement (AM) to model and assess user demands from satisfaction and attention perspectives. Finally, we propose Dynamic Opportunity Algorithm (DOA), which incorporates temporal trends of satisfaction and attention to identify high-value product improvement opportunities. We implement and evaluate the proposed approach on vehicle products as a case study. The findings demonstrate that this method can effectively reveal the multi-level structure of user demands, accurately capture the dynamic change characteristics of demands, and thus effectively identify key product improvement opportunities, assisting businesses in developing specific and feasible product optimization strategies. This study provides an important methodology and tool for analyzing user demands and optimizing products.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"88 ","pages":"Article 104460"},"PeriodicalIF":13.1,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144826624","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":"Carbon taxes vs. cap-and-trade: Do policy choices influence enterprise emissions dynamics and strategic responses?","authors":"Ke Jiang , Liping Xu , Jiaming Zhang","doi":"10.1016/j.techfore.2025.124318","DOIUrl":"10.1016/j.techfore.2025.124318","url":null,"abstract":"<div><div>Putting a price on carbon is widely recognized as a cost-effective strategy for reducing emissions, yet it imposes additional costs that manufacturers must manage to maintain production efficiency, particularly in high-emission sectors. This study develops a Stackelberg differential game model to examine manufacturer–retailer interactions under carbon taxes (CTs), cap-and-trade (CAT), and a hybrid mechanism. By capturing dynamic accumulation of emission reductions, the model derives equilibrium strategies concerning abatement efforts, wholesale prices, and order quantities. Numerical simulations then identify the conditions for Pareto improvements in profits and assess how key parameters affect equilibria and supply chain performance, thereby reinforcing subsequent arguments. First, higher CTs rate prompts the manufacturer to increase abatement efforts and wholesale prices while suppressing retailer orders and profits, which undermines long-term policy effectiveness. Second, elevated unit carbon prices within the CAT system strengthen emission reduction incentives and profitability for both supply chain members, though these effects are somewhat weaker under the hybrid scenario. Lastly, hybrid policy achieves superior environmental performance, while phased effects observed in the CTs scenario reflect varying degrees of economic adaptability among supply chain members. Findings may shed light on designing phased carbon pricing strategies that balance economic stability with long-term emission reductions goals.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"220 ","pages":"Article 124318"},"PeriodicalIF":13.3,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809687","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}
Shuai Zhang , Yuxing Qian , Zhizhen Yao , Zhenni Ni , Yang Zhang
{"title":"From approach to avoidance: How AI agent cognitive and affective empathy elicits the uncanny valley effect","authors":"Shuai Zhang , Yuxing Qian , Zhizhen Yao , Zhenni Ni , Yang Zhang","doi":"10.1016/j.tele.2025.102313","DOIUrl":"10.1016/j.tele.2025.102313","url":null,"abstract":"<div><div>The empathy expressed by AI agents is crucial in human-AI interactions, especially within mental health contexts. However, the mechanisms underlying users’ responses to cognitive and affective empathy from AI agents are not well understood. This study examines the theoretical mechanisms and boundary conditions that determine how AI empathy influences users’ approach-avoidance intentions. Drawing on the computers are social actors (CASA) paradigm and the uncanny valley effect (UVE), we propose a moderated dual mediation model. This model is empirically tested using two experimental studies. The results reveal distinct pathways by which cognitive and affective empathy affect approach-avoidance intentions. Specifically, cognitive empathy primarily influences approach-avoidance intentions via perceived novelty, whereas affective empathy exerts its effect through perceived warmth. Additionally, perceived warmth and eeriness together mediate the impact of affective empathy on approach-avoidance intentions. Notably, mindful AI agents strengthen the effect of affective empathy on the UVE but diminish the influence of cognitive empathy on approach-avoidance intentions, relative to mindless agents. These findings provide important insights for AI designers and companies seeking to develop empathetic, user-centered conversational agents for mental health applications.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"101 ","pages":"Article 102313"},"PeriodicalIF":8.3,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144828587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Waqas Ahmed , Mohammed A. Al-Sharafi , Ali Raza , Shehab Abdulhabib Saeed Al-Zaeemi , Mousa Ahmad Al-Bashrawi , Yogesh K. Dwivedi
{"title":"A longitudinal big data approach to theorizing consumers' continuance intention to use loyalty apps","authors":"Waqas Ahmed , Mohammed A. Al-Sharafi , Ali Raza , Shehab Abdulhabib Saeed Al-Zaeemi , Mousa Ahmad Al-Bashrawi , Yogesh K. Dwivedi","doi":"10.1016/j.jretconser.2025.104453","DOIUrl":"10.1016/j.jretconser.2025.104453","url":null,"abstract":"<div><div>In an increasingly competitive fintech landscape, the ability to sustain user satisfaction and continuance intention beyond initial adoption is emerging as a resolute frontier. However, most prior studies have modeled continuance intention through survey-driven approaches and rarely explore organically expressed feedback in loyalty-centric fintech settings. This paper explores the nuances of post-adoption behaviors within fintech loyalty applications by analyzing the multilingual reviews posted by users on the app store as a way to mine their collective voice, or User Generated Content (UGC). Employing a sequential mixed-methods approach, we integrated confirmatory regression modeling of continuance behavior with topic modeling, sentiment analysis, hierarchical clustering, and Latent Dirichlet Allocation (LDA). Our analysis on 5669 app reviews revealed a dynamically-configured constellation of service quality, information quality, system quality, perceived usefulness, and evolving perceptions of risk. These elements enable user satisfaction and increase intention to continue using the service. It is worth mentioning that perceived risk silently acts as a dispositional control factor that can significantly erode loyalty away from positive user experiences. Merging classical theoretical approaches with unstructured user feedback enhances our understanding of loyalty within fintech in practice. This research provides a comprehensive framework to establish trust, satisfaction, and continuance use. These insights will enable developers, managers, and policy makers to forge resilient connections with users in a trust-scarce, value-starved, experience-saturated environment where lasting competitive advantage resides. We recommend that fintech loyalty platforms embed real-time feedback systems, visible security cues, and performance-aligned incentives to translate satisfaction into sustained user engagement.</div></div>","PeriodicalId":48399,"journal":{"name":"Journal of Retailing and Consumer Services","volume":"88 ","pages":"Article 104453"},"PeriodicalIF":13.1,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144809950","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":"NEON as a navigator of energy open innovation ecosystems","authors":"Jaemin Chung , Janghyeok Yoon , Jaewoong Choi","doi":"10.1016/j.jik.2025.100778","DOIUrl":"10.1016/j.jik.2025.100778","url":null,"abstract":"<div><div>Global energy challenges have highlighted the importance of open innovation, which facilitates the development of efficient energy solutions through collaboration and knowledge sharing. However, owing to the increasing diversity of the energy open innovation ecosystem and the lack of standardized datasets, navigating the ecosystem and identifying potential opportunities for open innovation remain challenging. As a solution, we present a large-scale network modeling and embedding-based method called the Navigator of Energy Open Innovation Networks (NEON). First, scientific literature in the energy field is collected, and its metadata and textual information are systematically preprocessed. Specific topics in the energy field are identified using energy-specific pre-trained language models and density-based clustering. Then, a large-scale network is constructed to represent the energy open innovation ecosystem, incorporating papers, organizations, nations, topics, and their interrelations. Research collaborations are represented in the triplet form. Finally, network embedding techniques are applied to identify potential collaboration partners and research topics. Our case study, involving 149 nations, 6104 organizations, 88,727 papers, and 63 topics, confirms the effectiveness of the proposed approach in exploring complex energy open innovation ecosystems.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 5","pages":"Article 100778"},"PeriodicalIF":15.5,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144826465","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":"Environmental Social Governance (ESG) and Consumer Behavior: A Systematic Review and Research Agenda","authors":"Qin Lingda Tan, Sharizal Hashim, Nor Liza Abdullah, Hafizah Omar Zaki, Zhangwei Zheng","doi":"10.1111/ijcs.70105","DOIUrl":"https://doi.org/10.1111/ijcs.70105","url":null,"abstract":"<div>\u0000 \u0000 <p>Although ESG (Environmental, Social, and Governance) practices are reshaping consumer expectations, existing research lacks an integrated understanding of how ESG factors influence consumer behavior. This study systematically reviews 56 empirical articles using the Theory–Context–Method (TCM) and Antecedent–Decision–Outcome (ADO) frameworks. The TCM analysis reveals theoretical fragmentation, a concentration of studies in East Asia, and a reliance on cross-sectional surveys and structural equation modeling. The ADO analysis identifies 189 antecedents, 52 decision variables, and 66 outcomes, with ESG-specific antecedents—such as perceived ESG performance, transparency, and greenwashing perception—exerting stronger and more consistent effects than general consumer factors. Moreover, cognitive and affective responses and purchase intentions are key mediators linking antecedents to diverse outcomes, while strategic decisions and long-term behavioral outcomes remain underexplored. Based on these findings, the study proposes a targeted research agenda to strengthen theory-driven modeling, extend contextual coverage beyond Asia, diversify methods, and address overlooked decision mechanisms and systemic outcomes. The review advances cumulative knowledge and offers actionable directions for researchers and practitioners working to align ESG strategies with consumer behavior.</p>\u0000 </div>","PeriodicalId":48192,"journal":{"name":"International Journal of Consumer Studies","volume":"49 5","pages":""},"PeriodicalIF":7.6,"publicationDate":"2025-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Junxian Shen, Cora Un In Wong, Hongfeng Zhang, Fanbo Li, Jianhui Chen
{"title":"Exploring Tourism Autobiographical Memory and Psychological Richness","authors":"Junxian Shen, Cora Un In Wong, Hongfeng Zhang, Fanbo Li, Jianhui Chen","doi":"10.1002/jtr.70091","DOIUrl":"https://doi.org/10.1002/jtr.70091","url":null,"abstract":"<div>\u0000 \u0000 <p>This study aims to investigate how tourism autobiographical memory influences tourists' psychological richness based on the transmission model of inspiration. Partial least squares structural equation modeling (PLS-SEM) was conducted to examine the proposed hypotheses on 419 valid questionnaires collected from China. The PLS-SEM results showed that tourism autobiographical memory and inspiration were the significant positive predictors of tourists' psychological richness. Tourism autobiographical memory can directly predict psychological richness, and it can also indirectly predict psychological richness via the mediating role of inspiration. In addition, gender moderates the prediction of tourism autobiographical memory on psychological richness. The findings provide a theoretically and empirically consistent explanation for the effect of tourism autobiographical memory on psychological richness, which has rarely been examined in the tourism literature.</p>\u0000 </div>","PeriodicalId":51375,"journal":{"name":"International Journal of Tourism Research","volume":"27 4","pages":""},"PeriodicalIF":5.7,"publicationDate":"2025-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144811300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rodrigo Soares, Timothy L. Sellnow, Deanna D. Sellnow, Scott C. Merrill, Julia M. Smith, Martina Frizzo
{"title":"Addressing Perceived Apathy Through Engaged Learning in Crisis Communication: Lessons From Bird Flu (H5N1) in Dairy","authors":"Rodrigo Soares, Timothy L. Sellnow, Deanna D. Sellnow, Scott C. Merrill, Julia M. Smith, Martina Frizzo","doi":"10.1111/1468-5973.70069","DOIUrl":"https://doi.org/10.1111/1468-5973.70069","url":null,"abstract":"<p>Recent outbreaks of A/H5N1 (Highly Pathogenic Avian Influenza virus/HPAIv) —commonly referred to as bird flu virus—have mutated and spread beyond poultry to also infect dairy cattle and humans. Despite warnings by crisis communication practitioners affiliated with the dairy industry, the response is widely criticized as underwhelming and apathetic. This study proposes engaged learning as an instructional risk and crisis co strategy for overcoming apathetic crisis denial. More specifically, a Reflexive Thematic Analysis (RTA) was conducted based on 21 semi-structured interviews with practitioners who work in direct or indirect contact with farmers, producers, and decision-makers associated with the dairy cattle industry. Results revealed that study participants support employing engaged learning communication strategies to overcome apathetic crisis denial and achieve desired affective, cognitive, and behavioral learning outcomes. These strategies include engaged and ongoing dialogue focused on: (1) internalization strategies to co-construct meaning about the relevance and impact of the risks to risk-bearers (affective learning); (2) explanation strategies to co-construct mutual understanding about the nature of the risks including how to prevent infection and control its spread (cognitive learning); and (3) acknowledge and address trust issues based on stakeholders' previous crisis experiences. In doing so, stakeholders may overcome apathetic crisis denial and choose to engage in recommended biosecurity practices (behavioral learning).</p>","PeriodicalId":47674,"journal":{"name":"Journal of Contingencies and Crisis Management","volume":"33 3","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1468-5973.70069","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144811049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Concepts in Smart Societies' Next Generation of Human Resources and Technologies. By Chaudhery Mustansar Hussain, Antonella Petrillo and Shahid Ul Islam, Boca Raton, USA: CRC Press, Taylor & Francis Group, 2024. 376 pp. £108.75. ISBN: 9781032170343","authors":"Putri Inggrid Maria Risamasu, Adrianus Aprilius","doi":"10.1111/1744-7941.70011","DOIUrl":"https://doi.org/10.1111/1744-7941.70011","url":null,"abstract":"","PeriodicalId":51582,"journal":{"name":"Asia Pacific Journal of Human Resources","volume":"63 4","pages":""},"PeriodicalIF":4.5,"publicationDate":"2025-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}