Jianwen Zheng , Justin Zuopeng Zhang , Kai Ming Au , Veda C. Storey , Huan Wang , Yifan Yang
{"title":"塑造创新之路:高科技中小企业的元数据应用配置","authors":"Jianwen Zheng , Justin Zuopeng Zhang , Kai Ming Au , Veda C. Storey , Huan Wang , Yifan Yang","doi":"10.1016/j.dss.2024.114336","DOIUrl":null,"url":null,"abstract":"<div><div>The emergence of Industry 4.0, characterized by rapid technological change and fierce competition, challenges technology firms to make strategic innovation decisions. Central to this is the metaverse, a hybrid virtual space combining virtual reality, augmented reality, and the internet. Recognizing that the implications of metaverse applications extend beyond individual organizations, this research examines its adoption configurations. Using the Technology Acceptance Model (TAM) and the Technology-Organization-Environment (TOE) framework, we analyze survey data from 116 high-technology small and medium-sized enterprises in China using fuzzy-set qualitative comparative analysis (fsQCA). Our research reveals that no isolated factor within the TAM-TOE framework solely affects innovation decision-making. Instead, we identify three configurations that enhance decision-making quality and three that increase its speed, leading to improved innovation performance. In this way, this research advances the understanding of technology adoption configurations in the innovation processes of young tech firms.</div></div>","PeriodicalId":55181,"journal":{"name":"Decision Support Systems","volume":"187 ","pages":"Article 114336"},"PeriodicalIF":6.7000,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Shaping innovation pathways: Metaverse application configurations in high-technology small- and medium-sized enterprises\",\"authors\":\"Jianwen Zheng , Justin Zuopeng Zhang , Kai Ming Au , Veda C. Storey , Huan Wang , Yifan Yang\",\"doi\":\"10.1016/j.dss.2024.114336\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The emergence of Industry 4.0, characterized by rapid technological change and fierce competition, challenges technology firms to make strategic innovation decisions. Central to this is the metaverse, a hybrid virtual space combining virtual reality, augmented reality, and the internet. Recognizing that the implications of metaverse applications extend beyond individual organizations, this research examines its adoption configurations. Using the Technology Acceptance Model (TAM) and the Technology-Organization-Environment (TOE) framework, we analyze survey data from 116 high-technology small and medium-sized enterprises in China using fuzzy-set qualitative comparative analysis (fsQCA). Our research reveals that no isolated factor within the TAM-TOE framework solely affects innovation decision-making. Instead, we identify three configurations that enhance decision-making quality and three that increase its speed, leading to improved innovation performance. In this way, this research advances the understanding of technology adoption configurations in the innovation processes of young tech firms.</div></div>\",\"PeriodicalId\":55181,\"journal\":{\"name\":\"Decision Support Systems\",\"volume\":\"187 \",\"pages\":\"Article 114336\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2024-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Decision Support Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167923624001696\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Decision Support Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167923624001696","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Shaping innovation pathways: Metaverse application configurations in high-technology small- and medium-sized enterprises
The emergence of Industry 4.0, characterized by rapid technological change and fierce competition, challenges technology firms to make strategic innovation decisions. Central to this is the metaverse, a hybrid virtual space combining virtual reality, augmented reality, and the internet. Recognizing that the implications of metaverse applications extend beyond individual organizations, this research examines its adoption configurations. Using the Technology Acceptance Model (TAM) and the Technology-Organization-Environment (TOE) framework, we analyze survey data from 116 high-technology small and medium-sized enterprises in China using fuzzy-set qualitative comparative analysis (fsQCA). Our research reveals that no isolated factor within the TAM-TOE framework solely affects innovation decision-making. Instead, we identify three configurations that enhance decision-making quality and three that increase its speed, leading to improved innovation performance. In this way, this research advances the understanding of technology adoption configurations in the innovation processes of young tech firms.
期刊介绍:
The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).