Fahim Khan , Arif Ud Din , M. Jehangir , Syed Hamza Farooq , Angelo Riviezzo
{"title":"技术导向与绿色创新绩效的关系:创新能力的潜在中介作用","authors":"Fahim Khan , Arif Ud Din , M. Jehangir , Syed Hamza Farooq , Angelo Riviezzo","doi":"10.1016/j.hitech.2024.100509","DOIUrl":null,"url":null,"abstract":"<div><p>This investigation explores the influence of technology orientation and innovation capability on the green innovation performance among small and medium-sized enterprises (SMEs) in Pakistan, utilizing a quantitative research method. Data were gathered from a variety of demographic databases, and structural equation modeling was employed to examine the impact of these factors on SMEs' business performance. Central to this study is the development of a research model that elucidates the interconnections between technology orientation, innovation capability, and green innovation performance. Through a survey conducted among 298 owners and managers of manufacturing firms, the study leverages Partial Least Squares Structural Equation Modeling (PLS-SEM) for its analysis. Findings indicate that technology orientation and innovation capability significantly contribute to enhancing green innovation performance in SMEs, thereby facilitating a competitive advantage. The investigation underscores the importance of bolstering innovation capabilities to fortify SMEs' competitive positioning.</p></div>","PeriodicalId":38944,"journal":{"name":"Journal of High Technology Management Research","volume":"35 2","pages":"Article 100509"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The nexus of technology orientation and green innovation performance: The potential mediating role of innovation capability\",\"authors\":\"Fahim Khan , Arif Ud Din , M. Jehangir , Syed Hamza Farooq , Angelo Riviezzo\",\"doi\":\"10.1016/j.hitech.2024.100509\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This investigation explores the influence of technology orientation and innovation capability on the green innovation performance among small and medium-sized enterprises (SMEs) in Pakistan, utilizing a quantitative research method. Data were gathered from a variety of demographic databases, and structural equation modeling was employed to examine the impact of these factors on SMEs' business performance. Central to this study is the development of a research model that elucidates the interconnections between technology orientation, innovation capability, and green innovation performance. Through a survey conducted among 298 owners and managers of manufacturing firms, the study leverages Partial Least Squares Structural Equation Modeling (PLS-SEM) for its analysis. Findings indicate that technology orientation and innovation capability significantly contribute to enhancing green innovation performance in SMEs, thereby facilitating a competitive advantage. The investigation underscores the importance of bolstering innovation capabilities to fortify SMEs' competitive positioning.</p></div>\",\"PeriodicalId\":38944,\"journal\":{\"name\":\"Journal of High Technology Management Research\",\"volume\":\"35 2\",\"pages\":\"Article 100509\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of High Technology Management Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S104783102400018X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of High Technology Management Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S104783102400018X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
The nexus of technology orientation and green innovation performance: The potential mediating role of innovation capability
This investigation explores the influence of technology orientation and innovation capability on the green innovation performance among small and medium-sized enterprises (SMEs) in Pakistan, utilizing a quantitative research method. Data were gathered from a variety of demographic databases, and structural equation modeling was employed to examine the impact of these factors on SMEs' business performance. Central to this study is the development of a research model that elucidates the interconnections between technology orientation, innovation capability, and green innovation performance. Through a survey conducted among 298 owners and managers of manufacturing firms, the study leverages Partial Least Squares Structural Equation Modeling (PLS-SEM) for its analysis. Findings indicate that technology orientation and innovation capability significantly contribute to enhancing green innovation performance in SMEs, thereby facilitating a competitive advantage. The investigation underscores the importance of bolstering innovation capabilities to fortify SMEs' competitive positioning.
期刊介绍:
The Journal of High Technology Management Research promotes interdisciplinary research regarding the special problems and opportunities related to the management of emerging technologies. It advances the theoretical base of knowledge available to both academicians and practitioners in studying the management of technological products, services, and companies. The Journal is intended as an outlet for individuals conducting research on high technology management at both a micro and macro level of analysis.