Technological Forecasting and Social Change最新文献

英文中文

Let me shop alone: Consumers' psychological reactance toward retail robotics

IF 12.9 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change

Pub Date : 2024-12-28 DOI: 10.1016/j.techfore.2024.123962

Sejin Ha , Jee-Sun Park , So Won Jeong

Service robots, autonomous agents combined with artificial intelligence, have gained significant momentum in retail industry. Research on service robots has been attracting increased attention across various disciplines, with focuses on technical issues, benefits, and adoption/acceptance. However, little is known about consumer reactance to service robots and its psychological mechanisms. This study, based on reactance theory, examines how perceived threat to freedom triggers consumer reactance, and how psychological inertia moderates this process. In doing so, this study identifies a model of reactance to service robots by comparing two existing reactance models. A survey of 352 US consumers who used service robots for in-store shopping was conducted. This study found that consumer reactance to service robots is best explained by a dual-process cognitive-affective model. Increased threats to freedom drive resistance intentions both directly and indirectly through negative cognition, and psychological inertia moderates this process. The findings contributes to the literature by highlighting the adverse aspects of new retail technology and presenting a model of consumers' reactance to service robots. This study offers practical insights into what to consider in designing consumer-service robot retail environments to reduce reactance.

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引用次数: 0

Carbon emissions trading and corporate energy efficiency: Evidence from a quasi-natural experiment in China

IF 12.9 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change

Pub Date : 2024-12-27 DOI: 10.1016/j.techfore.2024.123959

Guanchun Liu , Gaorong Zhang , Malin Song , Shun Fu

To examine the impact of carbon emissions trading (CET) on corporate energy efficiency, this study exploits China's CET pilot as a quasi-experiment and runs a staggered difference-in-differences regression. Using the annual data between 2007 and 2022 for China's listed firms, we find that CET significantly promotes energy efficiency in firms located in pilot regions, and this finding remains when accounting for treatment effect heterogeneity. Moreover, the positive impact on energy efficiency is more pronounced for firms belonging to high-pollution industries, with private ownership and greater governance quality, as those located in regions with higher carbon trading prices, greater environmental regulation intensity and higher levels of marketization. Further mechanism tests reveal that the positive energy efficiency effect works through increasing green innovation, optimizing resource allocation and attracting green investors. Additionally, CET boosts corporate operational performance, promotes investment activities and expands employment. Overall, our findings confirm the active role of CET in achieving the environment-friendly growth regime in China.

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引用次数: 0

Causation processes and innovation strategy in small- and medium-sized firms in emerging countries: The moderating role of founder-CEOs' human capital

IF 12.9 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change

Pub Date : 2024-12-27 DOI: 10.1016/j.techfore.2024.123954

Gordon Liu , Stephen X. Zhang , Wai Wai Ko , Asghar Afshar Jahanshahi , Yantai Chen , Joshin John

In the dynamic and resource-constrained environment of emerging countries, small- and medium-sized enterprises (SMEs) face unique challenges in pursuing innovation strategy. This study addresses a critical gap in understanding how founder-CEOs' causation processes interact with human capital to shape SMEs' innovation strategy. While previous research has separately explored the impact of causation processes on innovation and the influence of founder-CEOs' managerial experience, these streams remain disconnected. Drawing on human capital theory, we investigate how adopting causation processes affects innovation strategy in emerging country SMEs, focusing on the moderating role of founder-CEOs' human capital. Our primary analysis utilises two waves of multi-informant survey data from 103 Indian SMEs. Results reveal that founder-CEOs' specific human capital moderates the relationship between causation processes and innovation strategy. This moderating effect strengthens with rich marketing experience but weakens with extensive technological experience. We supplement our findings with qualitative insights from interviews with 14 Indian and 19 Chinese SME founder-CEOs. This additional analysis provides further context and validates the applicability of our results. Our research contributes to a nuanced understanding of SME innovation dynamics in emerging countries and offers valuable implications for both theory and practice in fostering innovation-driven growth in this vital economic context.

{"title":"Causation processes and innovation strategy in small- and medium-sized firms in emerging countries: The moderating role of founder-CEOs' human capital","authors":"Gordon Liu , Stephen X. Zhang , Wai Wai Ko , Asghar Afshar Jahanshahi , Yantai Chen , Joshin John","doi":"10.1016/j.techfore.2024.123954","DOIUrl":"10.1016/j.techfore.2024.123954","url":null,"abstract":"<div><div>In the dynamic and resource-constrained environment of emerging countries, small- and medium-sized enterprises (SMEs) face unique challenges in pursuing innovation strategy. This study addresses a critical gap in understanding how founder-CEOs' causation processes interact with human capital to shape SMEs' innovation strategy. While previous research has separately explored the impact of causation processes on innovation and the influence of founder-CEOs' managerial experience, these streams remain disconnected. Drawing on human capital theory, we investigate how adopting causation processes affects innovation strategy in emerging country SMEs, focusing on the moderating role of founder-CEOs' human capital. Our primary analysis utilises two waves of multi-informant survey data from 103 Indian SMEs. Results reveal that founder-CEOs' specific human capital moderates the relationship between causation processes and innovation strategy. This moderating effect strengthens with rich marketing experience but weakens with extensive technological experience. We supplement our findings with qualitative insights from interviews with 14 Indian and 19 Chinese SME founder-CEOs. This additional analysis provides further context and validates the applicability of our results. Our research contributes to a nuanced understanding of SME innovation dynamics in emerging countries and offers valuable implications for both theory and practice in fostering innovation-driven growth in this vital economic context.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"212 ","pages":"Article 123954"},"PeriodicalIF":12.9,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From glass to grass ceiling: Addressing gender barriers in agricultural innovation

IF 12.9 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change

Pub Date : 2024-12-21 DOI: 10.1016/j.techfore.2024.123957

Vida Dabkiene, Indre Siksnelyte-Butkiene, Dalia Streimikiene, Vaida Sapolaite, Tomas Balezentis

Gender equality is a fundamental value of the European Union (EU), as reflected in its policy framework. Despite commendable progress, gender disparities persist, particularly in the agricultural sector. Central and Eastern European countries merit particular attention due to their transforming rural areas and the need to ensure social equality. The issues of gender equality in Lithuanian agriculture have not been sufficiently explored, and patriarchal thinking remains prevalent in the country. The main objective of this paper is to determine the gender norms and barriers faced by women innovators in Lithuanian agriculture and to identify opportunities for improvement. This study adopts a three-stage qualitative approach, including focus group discussions (FGDs)—two exclusively for men and two for women—and 14 interviews, with a total of 34 participants from across Lithuania. The research is based on questionnaires and guidelines developed in the GRASS CEILING (Gender Equality in Rural and Agricultural Innovation Systems) Horizon Europe project for 2023–2025. Through FGDs and interviews with agricultural experts, this study unveils the motives, barriers, and differences among male and female innovators in agriculture and identifies the gender norms confronting women agricultural innovators. This research provides a pivotal contribution to understanding gender dynamics in Lithuanian agriculture and offers valuable insights for broader agricultural policy enhancements.

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引用次数: 0

Examining consumer adoption of social commerce: An extended META-UTAUT model

IF 12.9 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change

Pub Date : 2024-12-21 DOI: 10.1016/j.techfore.2024.123956

Prianka Sarker , Laurie Hughes , Tegwen Malik , Yogesh K. Dwivedi

Social commerce has evolved into a mainstream channel for marketers and businesses for selling products online. However, consumers in many developing economies have yet to fully adopt social commerce technology. This research, therefore, aims to develop and empirically validate a conceptual model for understanding the factors influencing consumer adoption of social commerce in Bangladesh using an adapted and extended version of the Meta-UTAUT model. Analysis was undertaken to determine the appropriateness of external constructs such as trust, social support, anxiety, grievance redressal, innovativeness, and continuous participation intention. This research collected data from 402 social commerce users from Bangladesh to test and validate the proposed research model. The results suggest that performance expectancy, effort expectancy, innovativeness and trust have a direct influence on consumer attitude, whilst social influence, grievance redressal, facilitating conditions, social support, anxiety, and attitude, significantly influence usage behavior. The results also found that usage behavior is a strong predictor of continuous participation intention. This research contributes to existing knowledge by conceptualizing and validating a technology adoption model, which emphasizes the role of anxiety and grievance redressal in consumer acceptance of social commerce.

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引用次数: 0

What drives metaverse retail environments (non)usage? A behavioral reasoning theory perspective

IF 12.9 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change

Pub Date : 2024-12-20 DOI: 10.1016/j.techfore.2024.123945

Waqar Nadeem , Abdul Rehman Ashraf , Shadma Shahid

The metaverse offers novel opportunities for marketers to captivate users by enhancing their retail experiences in this digital space. Despite extensive discourse on the conceptual aspects of the metaverse, empirical research exploring the factors that motivate or deter user engagement in retail environments remains scarce. This study utilizes Behavioral Reasoning Theory to investigate how consumers' personal values and beliefs, along with their reasons for and against using metaverse retail environments shape their sense of connectedness and intentions to engage with these environments. Using a mixed-methods approach, the study begins with qualitative insights from 100 metaverse users, followed by quantitative analysis of data from 337 participants to empirically validate the proposed framework. The findings reveal escapism, social interaction, playfulness, and immersiveness as primary reasons-for, while inaccuracy, information overload, privacy concerns, and fatigue were identified as reasons-against using the metaverse retail environments. Furthermore, media consumption and digital literacy are shown to moderate these relationships. Collectively, these insights contribute to a foundational understanding of the behavioral intricacies and dynamic interaction patterns within the rapidly evolving metaverse, offering critical implications for managers aiming to optimize user engagement in metaverse retail environments.

{"title":"What drives metaverse retail environments (non)usage? A behavioral reasoning theory perspective","authors":"Waqar Nadeem , Abdul Rehman Ashraf , Shadma Shahid","doi":"10.1016/j.techfore.2024.123945","DOIUrl":"10.1016/j.techfore.2024.123945","url":null,"abstract":"<div><div>The metaverse offers novel opportunities for marketers to captivate users by enhancing their retail experiences in this digital space. Despite extensive discourse on the conceptual aspects of the metaverse, empirical research exploring the factors that motivate or deter user engagement in retail environments remains scarce. This study utilizes Behavioral Reasoning Theory to investigate how consumers' personal values and beliefs, along with their reasons for and against using metaverse retail environments shape their sense of connectedness and intentions to engage with these environments. Using a mixed-methods approach, the study begins with qualitative insights from 100 metaverse users, followed by quantitative analysis of data from 337 participants to empirically validate the proposed framework. The findings reveal escapism, social interaction, playfulness, and immersiveness as primary reasons-for, while inaccuracy, information overload, privacy concerns, and fatigue were identified as reasons-against using the metaverse retail environments. Furthermore, media consumption and digital literacy are shown to moderate these relationships. Collectively, these insights contribute to a foundational understanding of the behavioral intricacies and dynamic interaction patterns within the rapidly evolving metaverse, offering critical implications for managers aiming to optimize user engagement in metaverse retail environments.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"212 ","pages":"Article 123945"},"PeriodicalIF":12.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Impact of Financial Development on Pollution Reduction Evidence from Provinces in China

IF 12.9 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change

Pub Date : 2024-12-19 DOI: 10.1016/j.techfore.2024.123926

Weizhuojia Peng , Weibai Liu , Yijia Li

This paper examines the impact of financial development on pollution reduction at the enterprise level using statistical data from 30 provinces in China from the period 2018 to 2022. The effect of financial development on pollution reduction is examined separately from the perspectives of scale effect and technology effect. Although there are significant regional differences in the impact of the increased use of financial instruments on pollution reduction in different provinces of China, on balance the greater use of financial tools decreases pollution, reflecting the technological effect of utilizing financial tools exceeds the scale effect. Heterogeneity analysis shows that the impact of financial development on pollution reduction of private enterprises is higher than that of state-owned enterprises. The paper also discusses the implications for China in achieving carbon peak and carbon neutrality and promoting high-quality economic development and an economic green transformation. Since improvement in the financial system is a key to improving the environment, the increased efficiency of financial tools enhances this improvement.

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引用次数: 0

The impact of the carbon emissions trading scheme on corporate strategic deviance in China

IF 12.9 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change

Pub Date : 2024-12-19 DOI: 10.1016/j.techfore.2024.123952

Caiping Zhang , Falong Liu , Dawei Wu , Deming Tan , Linping Niu

In recent years, much research has been conducted on the carbon emissions trading scheme policy. However, more studies need to focus on the impact of the carbon emissions trading scheme on corporate strategy. In order to address this research gap, drawing on panel data of Chinese A-share listed companies from 2008 to 2020, a quasi-natural experiment was conducted on the impact of the carbon emissions trading scheme on corporate strategic deviance, using a staggered DID model. The results showed that the carbon emissions trading scheme is positively related to corporate strategic deviance, and this relationship has a significant lag. The mechanism analysis demonstrated that the carbon emissions trading scheme can promote innovation quality and environmental performance, thereby indirectly promoting improvement in corporate strategic deviance. The heterogeneity analysis revealed that the carbon emissions trading scheme has a more significant positive relationship with corporate strategic deviance in non-state-owned enterprises, highly polluting industries, and provinces with weak environmental regulation.

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引用次数: 0

How does human-AI interaction affect employees' workplace procrastination?

IF 12.9 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change

Pub Date : 2024-12-19 DOI: 10.1016/j.techfore.2024.123951

Jia-Min Li, Lan-Xia Zhang, Meng-Yu Mao

Based on the conservation of resources (COR) theory, this study examined the mechanisms by which human-AI interaction influences employees' workplace procrastination and the mediating role of boredom and the moderating role of core self-evaluation. Two studies were conducted to test the hypothesized model. In Study 1, human-AI interactions were categorized into enhanced and impeded. Enhanced human-AI interaction is the degree to which the employee perceives that the employee is leading the work and that the AI assists the work, whereas impeded human-AI interaction is the degree to which the employee perceives that the AI is leading the work and that the employee assists the work. We developed a two-dimensional human-AI interaction scale with eight items. In Study 2, we tested our hypotheses by collecting data from 411 questionnaires in China. Both types of human-AI interaction significantly affected boredom and workplace procrastination. Boredom mediated both types of human-AI interaction and workplace procrastination. Core self-evaluation not only moderated the effects of both types of human-AI interaction on boredom but also moderated the mediating role of boredom. This study has significant implications for both the theoretical understanding of human-AI interaction and its practical applications in organizational management.

{"title":"How does human-AI interaction affect employees' workplace procrastination?","authors":"Jia-Min Li, Lan-Xia Zhang, Meng-Yu Mao","doi":"10.1016/j.techfore.2024.123951","DOIUrl":"10.1016/j.techfore.2024.123951","url":null,"abstract":"<div><div>Based on the conservation of resources (COR) theory, this study examined the mechanisms by which human-AI interaction influences employees' workplace procrastination and the mediating role of boredom and the moderating role of core self-evaluation. Two studies were conducted to test the hypothesized model. In Study 1, human-AI interactions were categorized into enhanced and impeded. Enhanced human-AI interaction is the degree to which the employee perceives that the employee is leading the work and that the AI assists the work, whereas impeded human-AI interaction is the degree to which the employee perceives that the AI is leading the work and that the employee assists the work. We developed a two-dimensional human-AI interaction scale with eight items. In Study 2, we tested our hypotheses by collecting data from 411 questionnaires in China. Both types of human-AI interaction significantly affected boredom and workplace procrastination. Boredom mediated both types of human-AI interaction and workplace procrastination. Core self-evaluation not only moderated the effects of both types of human-AI interaction on boredom but also moderated the mediating role of boredom. This study has significant implications for both the theoretical understanding of human-AI interaction and its practical applications in organizational management.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"212 ","pages":"Article 123951"},"PeriodicalIF":12.9,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133879","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}

引用次数: 0

Do you believe it? Examining user engagement with fake news on social media platforms

IF 12.9 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change

Pub Date : 2024-12-18 DOI: 10.1016/j.techfore.2024.123950

Neha Chaudhuri , Gaurav Gupta , Aleš Popovič

The proliferation of fake news on social media platforms makes it necessary to investigate how news content and user comments can influence user engagement. This study analyzes a robust dataset of 600 fake news posts on Facebook and 760,000 associated user reactions and comments. Employing topic modeling and regression reveals how content and social response characteristics interact to predict engagement. Analysis of textual, rhetorical, semantic, emotional, contextual, and source-based features provides a comprehensive methodology for modeling fake news dissemination. Results demonstrate multimedia inclusion, source credibility, ease of reading, political and technological topics, positive/anticipatory emotions, creator status, and comment deviation most strongly predict reactions, shares, and comments. The inclusion of 47 statistically significant interaction terms substantially improves regression fit and predictive accuracy. The random forest model achieves the highest cross-validation performance, demonstrating machine learning's capability to model fake news engagement's intricacies. These rigorous, data-driven findings provide important insights into engagement drivers and practical tools to mitigate fake news spread. The multidimensional feature set and predictive modeling approach provide a powerful methodology for decoding complex user-news dynamics. This study contributes to a better understanding of how fake news content and social contexts interact to engage users, empowering platforms, regulators, and researchers to counteract fake news.

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