Pub Date : 2024-11-12DOI: 10.1016/j.techfore.2024.123870
Gaganpreet Singh , Sanjit K. Roy , Chrysostomos Apostolidis , Mohammed Quaddus , Saalem Sadeque
Following the increasing interest of retailers in engaging with their consumers using digital channels and platforms, this study uses affordance theory and Leroi-Werelds' value typologies as a theoretical lens to identify recipes (i.e., combinations) of positive and negative affordances that facilitate or impede their interactions with the metaverse in the retail context. More specifically, the study aims to unveil the complex interplay between different value dimensions influencing customer engagement in the metaverse and their impact on customers' well-being. Fuzzy-set qualitative comparative analysis (fsQCA) was used to analyse data from Australian consumers. This research deviates from earlier studies that have focused on the identification of positive drivers of customer engagement, considering instead the trade-offs between positive and negative factors and investigating their impact on customer engagement and subjective well-being in a technology-centric context. The study reveals numerous pertinent ‘value recipes’ that contribute to our existing knowledge regarding the factors that affect customer engagement and subjective well-being in the metaverse. The theoretical contribution of this study lies in the development of several affordance combinations that can explain engagement and well-being in customer-metaverse interactions. From a practical standpoint, the findings suggest guidelines for successfully infusing the metaverse into the retail landscape.
{"title":"Identifying the metaverse value recipe(s) affecting customer engagement and well-being in retailing","authors":"Gaganpreet Singh , Sanjit K. Roy , Chrysostomos Apostolidis , Mohammed Quaddus , Saalem Sadeque","doi":"10.1016/j.techfore.2024.123870","DOIUrl":"10.1016/j.techfore.2024.123870","url":null,"abstract":"<div><div>Following the increasing interest of retailers in engaging with their consumers using digital channels and platforms, this study uses affordance theory and Leroi-Werelds' value typologies as a theoretical lens to identify recipes (i.e., combinations) of positive and negative affordances that facilitate or impede their interactions with the metaverse in the retail context. More specifically, the study aims to unveil the complex interplay between different value dimensions influencing customer engagement in the metaverse and their impact on customers' well-being. Fuzzy-set qualitative comparative analysis (fsQCA) was used to analyse data from Australian consumers. This research deviates from earlier studies that have focused on the identification of positive drivers of customer engagement, considering instead the trade-offs between positive and negative factors and investigating their impact on customer engagement and subjective well-being in a technology-centric context. The study reveals numerous pertinent ‘value recipes’ that contribute to our existing knowledge regarding the factors that affect customer engagement and subjective well-being in the metaverse. The theoretical contribution of this study lies in the development of several affordance combinations that can explain engagement and well-being in customer-metaverse interactions. From a practical standpoint, the findings suggest guidelines for successfully infusing the metaverse into the retail landscape.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123870"},"PeriodicalIF":12.9,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660259","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}
The necessity to create digital awareness imposes the need for organizations to utilize opportunities and mitigate threats associated with the ongoing digital transformation process. This awareness is based on the triad of perception, action, and knowledge. Consequently, we assume that one of the key factors determining digital awareness is digital thinking, which must be systematically monitored. Diagnosing and identifying gaps that affect the effectiveness of digital possibilities in the value creation process of every organization enables not only the development of knowledge resources but also the continuous reinforcement of digital thinking.
The main objectives of this study are: the identification of key attributes of digital thinking in relation to the competitiveness of businesses, diagnosing the level of digital thinking in domestic enterprises, identifying gaps in this area, and providing recommendations that can positively impact the digital transformation process and enhance a company's competitiveness.
In addition to literature studies, the achievement of these objectives is based on our own survey research conducted in 2023 on a sample of 869 domestic enterprises. The evaluation focused on 24 statements characterizing digital thinking using a 7-point Likert scale.
Using the Helwig method, we diagnose the overall level of digital thinking in the enterprises. Further identification of digital thinking areas that include a focus on development, transparency of processes, courage to take action, and innovation allowed us to identify the weakest links in terms of digital thinking in enterprises, thus positively verifying the key hypothesis indicating the existence of gaps in digital thinking.
The conducted research enabled us to provide recommendations that, when implemented, should positively impact the level of digital thinking and the degree of digital transformation in enterprises.
{"title":"Digital thinking as a navigator of the progressive digitalization process in an enterprise","authors":"Wiesława Caputa , Izabela Krawczyk-Sokołowska , Artur Paździor , Luybomyr Sozanskyy","doi":"10.1016/j.techfore.2024.123862","DOIUrl":"10.1016/j.techfore.2024.123862","url":null,"abstract":"<div><div>The necessity to create digital awareness imposes the need for organizations to utilize opportunities and mitigate threats associated with the ongoing digital transformation process. This awareness is based on the triad of perception, action, and knowledge. Consequently, we assume that one of the key factors determining digital awareness is digital thinking, which must be systematically monitored. Diagnosing and identifying gaps that affect the effectiveness of digital possibilities in the value creation process of every organization enables not only the development of knowledge resources but also the continuous reinforcement of digital thinking.</div><div>The main objectives of this study are: the identification of key attributes of digital thinking in relation to the competitiveness of businesses, diagnosing the level of digital thinking in domestic enterprises, identifying gaps in this area, and providing recommendations that can positively impact the digital transformation process and enhance a company's competitiveness.</div><div>In addition to literature studies, the achievement of these objectives is based on our own survey research conducted in 2023 on a sample of 869 domestic enterprises. The evaluation focused on 24 statements characterizing digital thinking using a 7-point Likert scale.</div><div>Using the Helwig method, we diagnose the overall level of digital thinking in the enterprises. Further identification of digital thinking areas that include a focus on development, transparency of processes, courage to take action, and innovation allowed us to identify the weakest links in terms of digital thinking in enterprises, thus positively verifying the key hypothesis indicating the existence of gaps in digital thinking.</div><div>The conducted research enabled us to provide recommendations that, when implemented, should positively impact the level of digital thinking and the degree of digital transformation in enterprises.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123862"},"PeriodicalIF":12.9,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660897","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}
Pub Date : 2024-11-10DOI: 10.1016/j.techfore.2024.123855
Teresa Cepero , Luis G. Montané-Jiménez , Gina Paola Maestre-Góngora
Smart city technologies help to manage shared urban resources like road space, energy, water, and food more efficiently. With the vast amount of data these technologies generate, data visualization has become a crucial component for presenting critical information in a clear and condensed manner. However, designing data visualizations can be a challenging task, it requires applying data visualization guidelines for effective visual codification and user-centered design guidelines to design usable dashboards. The aim of this paper is to draw a comprehensive vision of the data visualization design process in smart city systems by integrating guidelines of data visualization and user-centered design into a framework. This paper presents a novel user-centered data visualization framework for smart city technologies. The framework offers a structured approach to understanding the intricacies of visualization design processes and guides the development from a user-centered perspective. It integrates activities, techniques, instruments, and guidelines for developing user-centered visualizations in smart city technologies. The proposed framework’s content was validated through expert judgment and tested in a case study for the development of the Xalapa Commerce, Services, and Tourism Dashboard.
{"title":"A framework for designing user-centered data visualizations in smart city technologies","authors":"Teresa Cepero , Luis G. Montané-Jiménez , Gina Paola Maestre-Góngora","doi":"10.1016/j.techfore.2024.123855","DOIUrl":"10.1016/j.techfore.2024.123855","url":null,"abstract":"<div><div>Smart city technologies help to manage shared urban resources like road space, energy, water, and food more efficiently. With the vast amount of data these technologies generate, data visualization has become a crucial component for presenting critical information in a clear and condensed manner. However, designing data visualizations can be a challenging task, it requires applying data visualization guidelines for effective visual codification and user-centered design guidelines to design usable dashboards. The aim of this paper is to draw a comprehensive vision of the data visualization design process in smart city systems by integrating guidelines of data visualization and user-centered design into a framework. This paper presents a novel user-centered data visualization framework for smart city technologies. The framework offers a structured approach to understanding the intricacies of visualization design processes and guides the development from a user-centered perspective. It integrates activities, techniques, instruments, and guidelines for developing user-centered visualizations in smart city technologies. The proposed framework’s content was validated through expert judgment and tested in a case study for the development of the Xalapa Commerce, Services, and Tourism Dashboard.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123855"},"PeriodicalIF":12.9,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660963","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}
Pub Date : 2024-11-09DOI: 10.1016/j.techfore.2024.123858
Yuting Zhang, Tachia Chin, Ragwa Al-Wazer
Extant research provides compelling conceptual and empirical arguments on how digital transformation shapes corporate social responsibility (CSR). This paper constructs a theoretical model to explain the impact of digital transformation on inconsistent CSR. Based on the panel data of 1695 Chinese A-share listed companies from 2010 to 2020, this article identifies the direct impact, underlying mechanism, and heterogeneous impact of digital transformation on inconsistent CSR. The results indicate that digital transformation decreases inconsistent CSR. The mechanism analysis shows that digital transformation reduces inconsistent CSR by increasing the attention to internal stakeholders and the attention to internal and external stakeholders. Further tests of the moderating effect reveal that media coverage mitigates the impact of digital transformation on the attention to internal stakeholders. The heterogeneity analysis suggests that the impact of digital transformation is more pronounced in firms with Party organizations. This article contributes new empirical evidence regarding CSR-enhancing effects of digital transformation and extends practical implications for firms to better balance internal and external CSR so that employees can share in corporate growth. Additionally, it outlines directions for future research that can possibly explore the relationship between digital transformation and inconsistent CSR through alternative theoretical perspectives and more rigorous mathematical models.
关于数字化转型如何影响企业社会责任(CSR),现有研究提供了令人信服的概念和经验论据。本文构建了一个理论模型来解释数字化转型对不一致的企业社会责任的影响。基于 2010-2020 年 1695 家中国 A 股上市公司的面板数据,本文识别了数字化转型对不一致企业社会责任的直接影响、内在机制和异质性影响。结果表明,数字化转型降低了不一致的企业社会责任。机制分析表明,数字化转型通过提高对内部利益相关者的关注以及对内部和外部利益相关者的关注来减少不一致的企业社会责任。对调节效应的进一步检验表明,媒体报道减轻了数字化转型对内部利益相关者关注度的影响。异质性分析表明,数字化转型对拥有党组织的企业的影响更为明显。本文为数字化转型对企业社会责任的促进作用提供了新的实证证据,并为企业更好地平衡内部和外部企业社会责任,使员工能够分享企业发展成果提供了实践启示。此外,文章还概述了未来的研究方向,即通过其他理论视角和更严格的数学模型,探索数字化转型与不一致的企业社会责任之间的关系。
{"title":"Good neighbors but bad employers? How corporate digital transformation affects incongruence between external and internal corporate social responsibility","authors":"Yuting Zhang, Tachia Chin, Ragwa Al-Wazer","doi":"10.1016/j.techfore.2024.123858","DOIUrl":"10.1016/j.techfore.2024.123858","url":null,"abstract":"<div><div>Extant research provides compelling conceptual and empirical arguments on how digital transformation shapes corporate social responsibility (CSR). This paper constructs a theoretical model to explain the impact of digital transformation on inconsistent CSR. Based on the panel data of 1695 Chinese A-share listed companies from 2010 to 2020, this article identifies the direct impact, underlying mechanism, and heterogeneous impact of digital transformation on inconsistent CSR. The results indicate that digital transformation decreases inconsistent CSR. The mechanism analysis shows that digital transformation reduces inconsistent CSR by increasing the attention to internal stakeholders and the attention to internal and external stakeholders. Further tests of the moderating effect reveal that media coverage mitigates the impact of digital transformation on the attention to internal stakeholders. The heterogeneity analysis suggests that the impact of digital transformation is more pronounced in firms with Party organizations. This article contributes new empirical evidence regarding CSR-enhancing effects of digital transformation and extends practical implications for firms to better balance internal and external CSR so that employees can share in corporate growth. Additionally, it outlines directions for future research that can possibly explore the relationship between digital transformation and inconsistent CSR through alternative theoretical perspectives and more rigorous mathematical models.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123858"},"PeriodicalIF":12.9,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660961","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}
Pub Date : 2024-11-09DOI: 10.1016/j.techfore.2024.123787
Longpeng Zhang, Xingye Zhang
In the digital age, driving the intelligent transformation of enterprises is a crucial research topic. This study examines the impact of digital government development on enterprise transformation and explores the pathways to achieve it. Drawing from digital governance and institutional economics theories, government data openness, cloud platform construction, and intelligent government services provide a favorable external environment for enterprise transformation. Digital government development also reduces institutional transaction costs, thus enabling enterprises to invest more resources in technological innovation, including artificial intelligence applications. Empirical research on Chinese listed firms supports these findings. Furthermore, the construction of digital government can effectively promote innovation and management intelligence within the internal value chain of enterprises. Other heterogeneity analyses indicate that this effect is more pronounced in technology-intensive industries and developed regions.
{"title":"Impact of digital government construction on the intelligent transformation of enterprises: Evidence from China","authors":"Longpeng Zhang, Xingye Zhang","doi":"10.1016/j.techfore.2024.123787","DOIUrl":"10.1016/j.techfore.2024.123787","url":null,"abstract":"<div><div>In the digital age, driving the intelligent transformation of enterprises is a crucial research topic. This study examines the impact of digital government development on enterprise transformation and explores the pathways to achieve it. Drawing from digital governance and institutional economics theories, government data openness, cloud platform construction, and intelligent government services provide a favorable external environment for enterprise transformation. Digital government development also reduces institutional transaction costs, thus enabling enterprises to invest more resources in technological innovation, including artificial intelligence applications. Empirical research on Chinese listed firms supports these findings. Furthermore, the construction of digital government can effectively promote innovation and management intelligence within the internal value chain of enterprises. Other heterogeneity analyses indicate that this effect is more pronounced in technology-intensive industries and developed regions.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123787"},"PeriodicalIF":12.9,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660962","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}
Pub Date : 2024-11-08DOI: 10.1016/j.techfore.2024.123842
Xinyuan Min , Jaap Sok , Tian Qian , Weihao Zhou , Alfons Oude Lansink
Emerging digital technologies are transforming greenhouse production, yet it remains unclear which technologies are likely to achieve widespread adoption. This study evaluates greenhouse sensor and robotic technologies from an innovation-oriented perspective, aiming to bridge the gap between technology assessment and innovation adoption. Using the Diffusion of Innovation theory as a framework, we defined evaluation criteria based on the perceived technology attributes. Our evaluation process involved multiple stakeholder groups within the Chinese greenhouse sector—growers, investors, technology suppliers, and policy makers. The Bayesian best-worst method was used to elicit stakeholder preferences and expert-rated technology scores for each attribute. These were combined to produce a probabilistic overall performance score for each technology. The results highlighted the heterogeneous preferences among stakeholders. The leaf temperature sensor received the highest score among growers and policy makers. Investors and technology suppliers favored the scouting and harvesting robots, respectively. These findings underscore the importance of tailoring technology promotion strategies to the specific priorities of each stakeholder group.
{"title":"Evaluating the adoption of sensor and robotic technologies from a multi-stakeholder perspective: The case of greenhouse sector in China","authors":"Xinyuan Min , Jaap Sok , Tian Qian , Weihao Zhou , Alfons Oude Lansink","doi":"10.1016/j.techfore.2024.123842","DOIUrl":"10.1016/j.techfore.2024.123842","url":null,"abstract":"<div><div>Emerging digital technologies are transforming greenhouse production, yet it remains unclear which technologies are likely to achieve widespread adoption. This study evaluates greenhouse sensor and robotic technologies from an innovation-oriented perspective, aiming to bridge the gap between technology assessment and innovation adoption. Using the Diffusion of Innovation theory as a framework, we defined evaluation criteria based on the perceived technology attributes. Our evaluation process involved multiple stakeholder groups within the Chinese greenhouse sector—growers, investors, technology suppliers, and policy makers. The Bayesian best-worst method was used to elicit stakeholder preferences and expert-rated technology scores for each attribute. These were combined to produce a probabilistic overall performance score for each technology. The results highlighted the heterogeneous preferences among stakeholders. The leaf temperature sensor received the highest score among growers and policy makers. Investors and technology suppliers favored the scouting and harvesting robots, respectively. These findings underscore the importance of tailoring technology promotion strategies to the specific priorities of each stakeholder group.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123842"},"PeriodicalIF":12.9,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660960","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}
Pub Date : 2024-11-07DOI: 10.1016/j.techfore.2024.123851
Adilson Carlos Yoshikuni , Rajeev Dwivedi , Arnaldo Rabello de Aguiar Vallim Filho , Samuel Fosso Wamba
Practitioners and academics question how big data analytics (BDA) generates business value across diverse economic contexts. Early research on BDA capabilities has often been geographically concentrated, typically focusing on individual countries without comparing emerging and advanced economies. This study addresses this issue by exploring how BDA enables dynamic capabilities to influence innovation ambidexterity, drive corporate performance, and navigate environmental uncertainties in developing and developed economies. Therefore, the research model has been tested using 313 samples from Brazil, India, and the United States of America. Results suggest that BDA enabled dynamic capabilities to play an essential role in corporate performance mediated through innovation ambidexterity with different path effects for countries. A post hoc analysis was conducted to investigate the insignificant moderating effects of environmental uncertainties on the relationship between BDA-enabled dynamic capabilities and innovation ambidexterity and address this unexpected result. ML techniques demonstrated that high, medium, and low levels of innovation ambidexterity can be predicted by big data analytics-enabled dynamic capabilities under environmental uncertainty in 79 %. Higher innovation ambidexterity is concentrated in Brazilian prospector firms, mature-aged and in large sizes under higher environmental uncertainty. American and Indian firms are predominant in achieving a medium level of innovation ambidexterity by the analyzer and defender orientation strategy and are young-age and middle-size firms under higher environmental uncertainty.
{"title":"Big data analytics-enabled dynamic capabilities for corporate performance mediated through innovation ambidexterity: Findings from machine learning with cross-country analysis","authors":"Adilson Carlos Yoshikuni , Rajeev Dwivedi , Arnaldo Rabello de Aguiar Vallim Filho , Samuel Fosso Wamba","doi":"10.1016/j.techfore.2024.123851","DOIUrl":"10.1016/j.techfore.2024.123851","url":null,"abstract":"<div><div>Practitioners and academics question how big data analytics (BDA) generates business value across diverse economic contexts. Early research on BDA capabilities has often been geographically concentrated, typically focusing on individual countries without comparing emerging and advanced economies. This study addresses this issue by exploring how BDA enables dynamic capabilities to influence innovation ambidexterity, drive corporate performance, and navigate environmental uncertainties in developing and developed economies. Therefore, the research model has been tested using 313 samples from Brazil, India, and the United States of America. Results suggest that BDA enabled dynamic capabilities to play an essential role in corporate performance mediated through innovation ambidexterity with different path effects for countries. A post hoc analysis was conducted to investigate the insignificant moderating effects of environmental uncertainties on the relationship between BDA-enabled dynamic capabilities and innovation ambidexterity and address this unexpected result. ML techniques demonstrated that high, medium, and low levels of innovation ambidexterity can be predicted by big data analytics-enabled dynamic capabilities under environmental uncertainty in 79 %. Higher innovation ambidexterity is concentrated in Brazilian prospector firms, mature-aged and in large sizes under higher environmental uncertainty. American and Indian firms are predominant in achieving a medium level of innovation ambidexterity by the analyzer and defender orientation strategy and are young-age and middle-size firms under higher environmental uncertainty.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123851"},"PeriodicalIF":12.9,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660958","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}
Pub Date : 2024-11-07DOI: 10.1016/j.techfore.2024.123848
Anjala S. Krishen , Jesse L. Barnes , Han-fen Hu
Utility sectors are designing innovative technological service offerings to improve long-term sustainable management goals; however, they require consumer acceptance of innovative sustainable practices. Guided by the knowledge-attitude-behavior model and folk theory of the mind, our interdisciplinary research analyzes the link between consumer perceived knowledge and acceptance of innovative technologies in the water and energy utility sectors. Study 1 involves US-based public water consumers (N = 549) and examines the role of perceived knowledge under the mediation of attitude, in influencing intentions to use recycled wastewater. Results indicate that consumers with high perceived knowledge also have positive attitudes and are more likely to accept recycled water. Study 2 is a mixed-method inquiry of energy customers in Nevada, US (N = 236) and investigates the role of perceived knowledge, under the mediation of environmental concern, trust, and attitude, in intentions to enroll in new energy demand incentive programs. Findings show that consumers with high perceived knowledge also have high environmental concern, trust, attitude, and enrollment intention for new incentive-based programs. The consistent findings across our two studies highlight the importance of accounting for cognitive factors beyond actual knowledge in future educational campaigns to enhance consumer acceptance of innovative technologies in utility sectors.
{"title":"Consumer knowledge and sustainable decision-making: A mixed-method inquiry and proposed model","authors":"Anjala S. Krishen , Jesse L. Barnes , Han-fen Hu","doi":"10.1016/j.techfore.2024.123848","DOIUrl":"10.1016/j.techfore.2024.123848","url":null,"abstract":"<div><div>Utility sectors are designing innovative technological service offerings to improve long-term sustainable management goals; however, they require consumer acceptance of innovative sustainable practices. Guided by the knowledge-attitude-behavior model and folk theory of the mind, our interdisciplinary research analyzes the link between consumer perceived knowledge and acceptance of innovative technologies in the water and energy utility sectors. Study 1 involves US-based public water consumers (<em>N</em> = 549) and examines the role of perceived knowledge under the mediation of attitude, in influencing intentions to use recycled wastewater. Results indicate that consumers with high perceived knowledge also have positive attitudes and are more likely to accept recycled water. Study 2 is a mixed-method inquiry of energy customers in Nevada, US (<em>N</em> = 236) and investigates the role of perceived knowledge, under the mediation of environmental concern, trust, and attitude, in intentions to enroll in new energy demand incentive programs. Findings show that consumers with high perceived knowledge also have high environmental concern, trust, attitude, and enrollment intention for new incentive-based programs. The consistent findings across our two studies highlight the importance of accounting for cognitive factors beyond actual knowledge in future educational campaigns to enhance consumer acceptance of innovative technologies in utility sectors.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123848"},"PeriodicalIF":12.9,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660267","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}
Pub Date : 2024-11-07DOI: 10.1016/j.techfore.2024.123853
Teng Wang , Xiaoyang Zhao , Xiaotong Li
We investigate how geographic factors influence enterprise digital transformation (EDT) by applying resource dependence theory and the attention-based view. Analyzing spatial and attribute data from Chinese firms between 2011 and 2020, our study reveals three key findings: (1) proximity to major cities positively affects EDT; (2) local enterprise digitalization density (LEDD) mediates the relationship between city proximity and EDT; and (3) media attention has an inverted U-shaped moderating effect on both the relationship between LEDD and EDT, and on LEDD’s mediation effect. Our heterogeneity analysis shows that compared to non-provincial dual-core cities, proximity to major cities has stronger influence on enterprise digital transformation in provincial capitals and first-tier cities. Additionally, the impact of proximity to major cities on EDT is significantly stronger for non-state-owned enterprises and technology-intensive enterprises. Our research broadens the understanding of the spatial dimensions of digital transformation, offering a nuanced theoretical framework that highlights the interplays between geographic and cognitive factors in shaping corporate digital strategy. These insights have valuable implications for policymakers and business leaders seeking to promote enterprise digital transformation.
{"title":"Geographical influences, media attention and enterprise digital transformation","authors":"Teng Wang , Xiaoyang Zhao , Xiaotong Li","doi":"10.1016/j.techfore.2024.123853","DOIUrl":"10.1016/j.techfore.2024.123853","url":null,"abstract":"<div><div>We investigate how geographic factors influence enterprise digital transformation (EDT) by applying resource dependence theory and the attention-based view. Analyzing spatial and attribute data from Chinese firms between 2011 and 2020, our study reveals three key findings: (1) proximity to major cities positively affects EDT; (2) local enterprise digitalization density (LEDD) mediates the relationship between city proximity and EDT; and (3) media attention has an inverted U-shaped moderating effect on both the relationship between LEDD and EDT, and on LEDD’s mediation effect. Our heterogeneity analysis shows that compared to non-provincial dual-core cities, proximity to major cities has stronger influence on enterprise digital transformation in provincial capitals and first-tier cities. Additionally, the impact of proximity to major cities on EDT is significantly stronger for non-state-owned enterprises and technology-intensive enterprises. Our research broadens the understanding of the spatial dimensions of digital transformation, offering a nuanced theoretical framework that highlights the interplays between geographic and cognitive factors in shaping corporate digital strategy. These insights have valuable implications for policymakers and business leaders seeking to promote enterprise digital transformation.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123853"},"PeriodicalIF":12.9,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660959","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}
Pub Date : 2024-11-06DOI: 10.1016/j.techfore.2024.123856
Xuejiao Ma , Xiaojun Ma , Wei Fei , Qichuan Jiang , Wen Qin
With the rapid development of the Internet, the way of investors communicating to firms has evolved from the traditional offline approach to the online mode. Based on the number and quality of investor-firm interactions on the online interactive platforms constructed by China, this study investigates the impact of investor-firm interactions on innovation performance of firms of A-share listed firms over the period of 2010–2020. Our findings support an inverted U-shaped relationship between investor-firm interactions and firms' innovation performance. We further delve into the moderating role of market competition. Results reveal that industrial competition amplifies this inverted U-shaped relationship, while a firm's market power weakens it. Our empirical insights provide valuable insights for policymakers seeking to refine the voice of individual investors and for managers considering incorporating online interactions into their innovation strategies.
随着互联网的快速发展,投资者与企业的沟通方式也从传统的线下方式演变为线上模式。本研究基于我国构建的网络互动平台上投资者与企业互动的数量和质量,考察了2010-2020年间投资者与企业互动对A股上市公司企业创新绩效的影响。研究结果表明,投资者与企业互动与企业创新绩效之间存在倒 U 型关系。我们进一步研究了市场竞争的调节作用。结果显示,产业竞争会放大这种倒 U 型关系,而企业的市场力量则会削弱这种关系。我们的经验见解为寻求完善个人投资者话语权的政策制定者和考虑将在线互动纳入其创新战略的管理者提供了宝贵的启示。
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