Technology in Society最新文献_第7页

Technology diffusion considering technological progress and multiple policy combinations based on evolutionary game theory

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-12-21 DOI: 10.1016/j.techsoc.2024.102799

Jingyi Wang , Hua Xu , Minggang Wang

{"title":"Technology diffusion considering technological progress and multiple policy combinations based on evolutionary game theory","authors":"Jingyi Wang , Hua Xu , Minggang Wang","doi":"10.1016/j.techsoc.2024.102799","DOIUrl":"10.1016/j.techsoc.2024.102799","url":null,"abstract":"<div><div>Technology is affected and restricted by many factors, from research and development to market promotion. The efficient large-scale promotion of innovative technologies has always been an important issue in the industry. This study comprehensively considers the impact of the consumer market, government intervention policies, and technological progress on technology diffusion and establishes a network evolution game model based on complex networks for the diffusion of innovative technologies in enterprises. Considering the heterogeneity of enterprises, a numerical simulation was conducted on a scale-free network and the influence mechanism of market consumption preference, carbon tax, subsidy, penalty intensity, penalty accuracy, penalty coverage, and technological progress on the diffusion of innovative technology is studied. The influence of the network size and structure on technology diffusion is also discussed. The results show that market preference promotes technology diffusion and that consumer demand for low-carbon products will become the driving force for the application of innovative technologies. The implementation of various policy interventions, including carbon taxes, subsidies, and penalties, will be more conducive to the diffusion of innovative technologies. However, simply increasing the intensity of penalties will significantly reduce the average income of enterprises, which is not conducive to stable economic development. Therefore, the accuracy of punishment can be improved by increasing the coverage of penalties. In addition, the stability of technological progress is crucial for enterprise development. Stable technological progress can provide a stable environment for the application and diffusion of innovative technologies and help to reduce the risks and costs of enterprises adopting new technologies.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102799"},"PeriodicalIF":10.1,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How external factors influence organisational digital innovation: Evidence from China

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-12-19 DOI: 10.1016/j.techsoc.2024.102802

Yue Xia , Md Gapar Md Johar

{"title":"How external factors influence organisational digital innovation: Evidence from China","authors":"Yue Xia , Md Gapar Md Johar","doi":"10.1016/j.techsoc.2024.102802","DOIUrl":"10.1016/j.techsoc.2024.102802","url":null,"abstract":"<div><div>Although the digital economy has developed remarkably in recent years, the - motivation for organisational digital innovation is still lacking, and the existing data market size is far below its real value. Most previous studies proposed factors influencing digital innovation mainly from an organisational perspective, and the impact of external environmental factors has been ignored to a certain extent. To explore the impact of external factors such as digital infrastructure and the regulatory environment, this study surveyed a sample of 346 enterprises in China operating in both the core industries of digital economy and traditional industries and analysed using SPSS and AMOS. The findings reveal that digital infrastructure and the regulatory environment positively and significantly a digital innovation. The flow of data elements within a digital innovation ecosystem mediates the relationship between external factors and organisational digital innovation. Our findings enrich the theory of digital innovation ecosystems and provide a reference for enterprises to seize external resources, and for policymakers to focus on policies and regulations that facilitate the flow of data.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102802"},"PeriodicalIF":10.1,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi perspective technology readiness assessment for E-commerce: Case of the omni-channel adoption in the food retail sector during COVID-19

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-12-15 DOI: 10.1016/j.techsoc.2024.102792

Esra'a Bukhari , Tugrul Daim , Saeed Alzahrani , Tom Gillpatrick , Leonardo Santiago

{"title":"Multi perspective technology readiness assessment for E-commerce: Case of the omni-channel adoption in the food retail sector during COVID-19","authors":"Esra'a Bukhari , Tugrul Daim , Saeed Alzahrani , Tom Gillpatrick , Leonardo Santiago","doi":"10.1016/j.techsoc.2024.102792","DOIUrl":"10.1016/j.techsoc.2024.102792","url":null,"abstract":"<div><div>Using E-commerce has become crucial for retailers, specifically in the food business. In and after the era of COVID-19, as technology advances, there has been a necessity to apply an omnichannel strategy. In response, this research aims to develop a decision focus assessing Omni-channeled adoption for the management of emerging technologies in food retailing during and after the era of COVID-19 to evaluate the omnichannel capabilities of food organizations. The gaps of this research are presented as the lack of studies to evaluate the adoption of the omnichannel approach in food retailing comprehensively and identify the factors impacting the adoption of the omnichannel strategy in the food industry. Also, no research has categorized these factors, or compared them against each other. The method used is based on the hierarchical decision model (HDM) approach to find the optimal solution to fill gaps and to be implemented in food retailing. The main factors of the omnichannel in the food industry were identified based on a literature review and expert interviews. These factors were categorized into five perspectives which are social, organizational, technological, legal, and financial perspectives. This research established the HDM scoring model using experts' validation, quantification, and desirability values. The model is then applied in two case studies to test the model's practicality and achieve the objective of this research. The model analyzes the weaknesses and strengths of two food hypermarkets in Saudi Arabia, providing recommendations for improvement. The audience of this research are retailers, developers, researchers, participators, policymakers, decision-makers, and anyone interested in business and technology management.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102792"},"PeriodicalIF":10.1,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The impact of data elements on urban sustainable development: Evidence from the big data policy in China

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-12-14 DOI: 10.1016/j.techsoc.2024.102800

Tao Wu , Wenxuan Xu , Chih-Chun Kung

{"title":"The impact of data elements on urban sustainable development: Evidence from the big data policy in China","authors":"Tao Wu , Wenxuan Xu , Chih-Chun Kung","doi":"10.1016/j.techsoc.2024.102800","DOIUrl":"10.1016/j.techsoc.2024.102800","url":null,"abstract":"<div><div>This study addresses the research gap in examining the relationship between big data policies and urban sustainable development. We employ panel data encompassing 287 prefecture-level cities in China from 2010 to 2020 and incorporates 46 secondary indicators to devise an index system pertinent to sustainable urban development. Utilizing the inception of National Big Data Comprehensive Pilot Zones in 2015 and 2016 as a quasi-natural experiment, the research employs a multi-period Difference-in-Differences model to investigate the repercussions of data elements on sustainable urban development. Empirical evidence indicates that implementing big data policies is crucial in fostering sustainable urban development. Delving into the underlying mechanisms, the analysis reveals that big data policies can promote sustainable urban development by increasing venture capital, attracting talent, and fostering technology agglomeration in pilot cities. Additionally, this study finds that implementation outcomes vary according to the level of sustainable urban development, the extent of the digital economy, and population size. Further inquiry into spatial ramifications reveals that implementing big data policies within pilot cities induces a “siphon effect” that pulls investments and talent from nearby cities to them.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102800"},"PeriodicalIF":10.1,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bioinspired technology and the uncanny Anthropocene

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-12-14 DOI: 10.1016/j.techsoc.2024.102801

Rangga Kala Mahaswa , Novan Gebbyano , Hardiyanti

{"title":"Bioinspired technology and the uncanny Anthropocene","authors":"Rangga Kala Mahaswa , Novan Gebbyano , Hardiyanti","doi":"10.1016/j.techsoc.2024.102801","DOIUrl":"10.1016/j.techsoc.2024.102801","url":null,"abstract":"<div><div>This research explores the Anthropocene epoch, a period marked by significant environmental shifts due to human activity, which consequently brings forth a myriad of inherent risks. These risks are further complicated by a concurrent technological crisis, one that appears omnipresent and omnipotent, inducing a pervasive sense of disquiet. This ubiquitous crisis, paired with the stark reality of the Anthropocene, incites critical contemplation of our existing technological paradigms, particularly those of bioinspired technologies. Bioinspired technologies, which emulate nature's processes and structures, engender both promises and apprehensions. The uncanny phenomenon of naturalising technology, and in turn, technologising nature, disrupts our ontological comprehension of the human-technology-world mediation. This disconcerting symbiotic integration necessitates a philosophical examination of its implications and challenges within our Anthropocene epoch existence. To sufficiently navigate these complexities, our investigation transitions from focusing solely on bioinspired technologies to a consideration of Anthropocene-inspired approaches. In addition, in the face of the uncanny of the Anthropocene, such vagueness is critically interrupting. It not only reshapes the domain of bioinspired technologies but also challenges our understanding of the role of technology, our relationships with non-humans, and the potential futures we are forging within this Anthropocene world. This exploration extends an invitation to delve into these intricacies, encouraging a pursuit of ethically cognisant and ecologically responsible technological practises.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102801"},"PeriodicalIF":10.1,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding students’ technology acceptance behaviour: A meta-analytic study

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-12-13 DOI: 10.1016/j.techsoc.2024.102798

Fernando de Oliveira Santini , Claudio Hoffmann Sampaio , Tareq Rasul , Wagner Junior Ladeira , Arpan Kumar Kar , Marcelo Gattermann Perin , Mohd Azhar

引用次数: 0

The dynamics of energy generation, consumption, and pricing on industrial growth in the SSA region; exploring the moderating effect of financial development and technological advancement

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-12-12 DOI: 10.1016/j.techsoc.2024.102796

Mingxing Li , Michael Appiah , Emmanuel Baffour Gyau

{"title":"The dynamics of energy generation, consumption, and pricing on industrial growth in the SSA region; exploring the moderating effect of financial development and technological advancement","authors":"Mingxing Li , Michael Appiah , Emmanuel Baffour Gyau","doi":"10.1016/j.techsoc.2024.102796","DOIUrl":"10.1016/j.techsoc.2024.102796","url":null,"abstract":"<div><div>Countries worldwide, especially the developing economies of Sub-Saharan Africa (SSA), are grappling with the challenge of balancing energy and industrialization. This paper delves into the relationship between energy components (energy generation, consumption, and pricing) and industrialization in the SSA countries. The study investigates the impact of energy components (energy generation, consumption, and pricing) on industrialization in selected Sub-Saharan African (SSA) economies over the period 1990–2022, using panel data sourced from reputable institutions, including the World Bank, the Federal Reserve Economic Data (FRED), the Organization for Economic Cooperation and Development (OECD), and the International Monetary Fund (IMF). Employing the panel unit root tests, Westerlund cointegration, and Cross-Sectional Autoregressive Distributed Lag (CSARDL) methodology, the study reveals a significant long-term relationship between energy components and regional industrial growth. Energy generation positively contributes to industrialization, whereas energy consumption and pricing exhibit negative effects. Furthermore, the Dumitrescu and Hurlin (D-H) causality analysis indicates a one-way causality from energy generation to industrialization and from industrialization to energy consumption and pricing, with no causality observed between financial development and industrial growth. These findings underscore the critical need for the SSA countries to adopt robust financial systems and modern technologies to mitigate the adverse impacts of energy pricing on industrial development. The results provide crucial policy recommendations for enhancing energy efficiency and fostering sustainable regional industrialization.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102796"},"PeriodicalIF":10.1,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unlocking financial literacy with machine learning: A critical step to advance personal finance research and practice

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-12-12 DOI: 10.1016/j.techsoc.2024.102797

Alex Yue Feng Zhu

{"title":"Unlocking financial literacy with machine learning: A critical step to advance personal finance research and practice","authors":"Alex Yue Feng Zhu","doi":"10.1016/j.techsoc.2024.102797","DOIUrl":"10.1016/j.techsoc.2024.102797","url":null,"abstract":"<div><div>Financial literacy is crucial, and measuring it doesn't have to be expensive. In today's world of interactive artificial intelligence, the reduced costs of coding have made machine learning and text mining viable, cost-effective alternatives to traditional assessment methods. This groundbreaking study is the first globally to integrate diverse fields—such as personal finance, socialization, parenting, and family well-being—to train supervised machine learning models for predicting low financial literacy. We labeled a sample of youth in Hong Kong using two definitions of low financial literacy. Our training results revealed that among the four machine learning models trained—decision tree, random forest, light gradient boosting machine, and support vector machine—the light gradient boosting machine was the most effective for predicting low financial literacy based on the first definition (low objective financial knowledge). Conversely, the random forest model performed best according to the second definition, which considers the gap between subjective and objective financial knowledge or a deficiency in both. This research provides educators with a powerful tool to identify and offer targeted financial education to at-risk youth. Additionally, the identification of key features through ablation analyses informs the development of innovative conceptual models for future research. Ultimately, this pioneering study encourages scholars across social science disciplines to collaborate, share data, and advance the research paradigm in their fields.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102797"},"PeriodicalIF":10.1,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel synthetical hierarchical community paradigm for social network division from the perspective of information ecosystem

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-12-09 DOI: 10.1016/j.techsoc.2024.102784

Peihan Wen, Junlin Wu, Yufan Wu, Yuan Fu

{"title":"A novel synthetical hierarchical community paradigm for social network division from the perspective of information ecosystem","authors":"Peihan Wen, Junlin Wu, Yufan Wu, Yuan Fu","doi":"10.1016/j.techsoc.2024.102784","DOIUrl":"10.1016/j.techsoc.2024.102784","url":null,"abstract":"<div><div>It has received significant attention to identify different groups in online social networks. The obstruction of information flow has led to the emergence of social polarization, and extremism, resulting in the separation of online social networks. Related research has focused on horizontal community division and vertical leader differentiation but lacks the cross horizontal and vertical structures. Hence, we propose a horizontal and vertical binary structure of communities and hierarchies (HVBSCH) defined as “synthetical hierarchical communities (SHCs)\" in online social networks and present an analytical framework for SHCs in the Weibo information ecosystem based on the integration of the information ecology theory and the structural hole theory. A modified sampling graph convolutional network algorithm was put forth to obtain sample labels of real-world communities, which was further used for community detection together with users' social and attribute features collected from the Weibo platform regarding the hot event “Wu Yanni's false start” during the Hangzhou Asian Games. The results indicate that the collaborative effects of celebrities and media generate large and stable communities, requiring only few intermediary levels of dissemination to spread influence. Structural hole spanners within communities trigger the formation of subgroups, facilitating the acquisition and transmission of information across hierarchies, thus positively impacting the formation of SHCs. This study contributes to expanding researchers' perspectives on structures of online social networks. The analytical framework demonstrates superiority in acquiring community labels and features of real-world network users. Also, structural hole complements the information ecology theory by quantifying the information ecological niche, thereby contributing to bridging divergences among users in online social networks.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102784"},"PeriodicalIF":10.1,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Conflicting impacts of shadow AI usage on knowledge leakage in metaverse-based business models: A Yin-Yang paradox framing

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-12-08 DOI: 10.1016/j.techsoc.2024.102793

Tachia Chin , Qi Li , Francesco Mirone , Armando Papa

{"title":"Conflicting impacts of shadow AI usage on knowledge leakage in metaverse-based business models: A Yin-Yang paradox framing","authors":"Tachia Chin , Qi Li , Francesco Mirone , Armando Papa","doi":"10.1016/j.techsoc.2024.102793","DOIUrl":"10.1016/j.techsoc.2024.102793","url":null,"abstract":"<div><div>The accelerated evolution of artificial intelligence (AI) technology enables firms to create metaverse-based business models (MBMs) where the use of shadow AI is prevalent. However, employees' use of shadow AI not only provides benefits but also poses risks concerning organizational knowledge leakage (OKL). How to properly manage the usage of shadow AI has become a critically important yet under-researched issue for firms within MBMs. To fill this gap, this paper considers the paradoxical nature of shadow AI usage and thereby adopts a Yin-Yang dialectical frame to investigate the conflicting mechanisms between shadow AI usage and OKL and their impacts on the sustainability of MBMs. Using a questionnaire survey method, we gathered from enterprises within metaverse-related businesses in China and employed moderated hierarchical regression and bootstrap analysis to test the hypotheses. Results show that there existed an inverted U-shaped relationship between shadow AI usage and OKL and a negative link between shadow AI usage and the sustainability of MBMs. We also examined the mediating role of OKL and the moderating role of AI knowledge-oriented human resource management practices. Theoretically, this article conducts an unorthodox Yin-Yang paradox frame to address the dynamic tensions among shadow AI usage, OKL, and the sustainability of MBMs, enriching the theoretical underpinning of cross-disciplinary research at the intersection of technological change, knowledge management, and business sustainability. Practically, our findings allow practitioners and policymakers to gain a better understanding of the paradoxical interplay between employees' unethical behavior toward AI usage and its consequences. This indicates the unconventional yet crucial challenges facing firms within MBMs in the process of fulfilling the United Nation's Sustainable Development Goals.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"81 ","pages":"Article 102793"},"PeriodicalIF":10.1,"publicationDate":"2024-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0