{"title":"中小型企业成功采用元数据的框架:探索性研究","authors":"Tahereh Hasani, Davar Rezania, Mohammad Mohammadi","doi":"10.1177/18479790241257118","DOIUrl":null,"url":null,"abstract":"The digital transformation of our physical lives, driven by cutting-edge technologies like AI, 5G, and Extended Reality, is rapidly unfolding through the metaverse. This study investigates the factors influencing the adoption intention of the metaverse and its impact on small and medium-sized enterprises (SMEs) performance, employing the technology-organization-environment (TOE) framework. A cross-sectional analysis involving 173 owners/senior managers of SMEs in Canada was conducted to develop a conceptual model. Exploratory factor analysis and Cronbach’s alpha were employed to assess the questionnaire’s validity and reliability. Correlation, regression analysis, and Baron and Kenny’s method were used to evaluate relationships and mediation effects. The findings revealed seven significant factors influencing SMEs’ metaverse adoption intention. Notably, anxiety, security, and privacy did not impact adoption intention. Conversely, a positive correlation emerged between metaverse adoption intention and SME performance. The study demonstrated that metaverse adoption intention fully mediated the relationship between predictors and performance, with the indirect effect moderated by relationship qualities (RQs) like service experience and customer engagement. These insights provide decision-makers with valuable guidance for prioritizing essential factors crucial for successful metaverse technology implementation in SMEs.","PeriodicalId":45882,"journal":{"name":"International Journal of Engineering Business Management","volume":null,"pages":null},"PeriodicalIF":4.9000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards a framework for successful metaverse adoption in Small and Medium-sized Enterprises: An exploratory study\",\"authors\":\"Tahereh Hasani, Davar Rezania, Mohammad Mohammadi\",\"doi\":\"10.1177/18479790241257118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The digital transformation of our physical lives, driven by cutting-edge technologies like AI, 5G, and Extended Reality, is rapidly unfolding through the metaverse. This study investigates the factors influencing the adoption intention of the metaverse and its impact on small and medium-sized enterprises (SMEs) performance, employing the technology-organization-environment (TOE) framework. A cross-sectional analysis involving 173 owners/senior managers of SMEs in Canada was conducted to develop a conceptual model. Exploratory factor analysis and Cronbach’s alpha were employed to assess the questionnaire’s validity and reliability. Correlation, regression analysis, and Baron and Kenny’s method were used to evaluate relationships and mediation effects. The findings revealed seven significant factors influencing SMEs’ metaverse adoption intention. Notably, anxiety, security, and privacy did not impact adoption intention. Conversely, a positive correlation emerged between metaverse adoption intention and SME performance. The study demonstrated that metaverse adoption intention fully mediated the relationship between predictors and performance, with the indirect effect moderated by relationship qualities (RQs) like service experience and customer engagement. These insights provide decision-makers with valuable guidance for prioritizing essential factors crucial for successful metaverse technology implementation in SMEs.\",\"PeriodicalId\":45882,\"journal\":{\"name\":\"International Journal of Engineering Business Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Engineering Business Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/18479790241257118\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Engineering Business Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/18479790241257118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
Towards a framework for successful metaverse adoption in Small and Medium-sized Enterprises: An exploratory study
The digital transformation of our physical lives, driven by cutting-edge technologies like AI, 5G, and Extended Reality, is rapidly unfolding through the metaverse. This study investigates the factors influencing the adoption intention of the metaverse and its impact on small and medium-sized enterprises (SMEs) performance, employing the technology-organization-environment (TOE) framework. A cross-sectional analysis involving 173 owners/senior managers of SMEs in Canada was conducted to develop a conceptual model. Exploratory factor analysis and Cronbach’s alpha were employed to assess the questionnaire’s validity and reliability. Correlation, regression analysis, and Baron and Kenny’s method were used to evaluate relationships and mediation effects. The findings revealed seven significant factors influencing SMEs’ metaverse adoption intention. Notably, anxiety, security, and privacy did not impact adoption intention. Conversely, a positive correlation emerged between metaverse adoption intention and SME performance. The study demonstrated that metaverse adoption intention fully mediated the relationship between predictors and performance, with the indirect effect moderated by relationship qualities (RQs) like service experience and customer engagement. These insights provide decision-makers with valuable guidance for prioritizing essential factors crucial for successful metaverse technology implementation in SMEs.
期刊介绍:
The International Journal of Engineering Business Management (IJEBM) is an international, peer-reviewed, open access scientific journal that aims to promote an integrated and multidisciplinary approach to engineering, business and management. The journal focuses on issues related to the design, development and implementation of new methodologies and technologies that contribute to strategic and operational improvements of organizations within the contemporary global business environment. IJEBM encourages a systematic and holistic view in order to ensure an integrated and economically, socially and environmentally friendly approach to management of new technologies in business. It aims to be a world-class research platform for academics, managers, and professionals to publish scholarly research in the global arena. All submitted articles considered suitable for the International Journal of Engineering Business Management are subjected to rigorous peer review to ensure the highest levels of quality. The review process is carried out as quickly as possible to minimize any delays in the online publication of articles. Topics of interest include, but are not limited to: -Competitive product design and innovation -Operations and manufacturing strategy -Knowledge management and knowledge innovation -Information and decision support systems -Radio Frequency Identification -Wireless Sensor Networks -Industrial engineering for business improvement -Logistics engineering and transportation -Modeling and simulation of industrial and business systems -Quality management and Six Sigma -Automation of industrial processes and systems -Manufacturing performance and productivity measurement -Supply Chain Management and the virtual enterprise network -Environmental, legal and social aspects -Technology Capital and Financial Modelling -Engineering Economics and Investment Theory -Behavioural, Social and Political factors in Engineering