[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-259660-105":53,"doc-detail-259660-en":127},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":120,"head_meta":122,"extra_data":124,"updated_unix":126},105,"en","determinants-of-internet-entrepreneurship-intentions-among-business-school-students-article","Determinants of Internet Entrepreneurship Intentions among Business School Students - Article","","This study examines factors influencing business school students’ intentions to engage in Internet entrepreneurship. An integrated research model combines Rogers’ innovation diffusion theory, Ajzen’s theory of planned behavior, and Internet entrepreneur characteristics, and is tested with a survey of 107 students. Multiple regression analysis is used to evaluate hypotheses. Results indicate that compatibility, subjective norm, and perceived behavioral control significantly shape students’ Internet entrepreneurship intentions, enhancing understanding of how prospective entrepreneurs form intention.",{"@graph":63,"@context":119},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":51,"@type":70,"position":76},"https://docshare.wps.com/template/general/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/determinants-of-internet-entrepreneurship-intentions-among-business-school-students-article/259660/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/determinants-of-internet-entrepreneurship-intentions-among-business-school-students-article/259660.png","ImageObject",442,249,{"name":88,"@type":89},"Berry Peter","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-11-03","2026-09-13",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",10,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"What research model is used to analyze students’ Internet entrepreneurship intentions?","Question",{"text":109,"@type":110},"The study uses an integrated model based on Rogers’ innovation diffusion theory, Ajzen’s theory of planned behavior, and characteristics of Internet entrepreneurs.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"How many business school students were surveyed in the study?",{"text":114,"@type":110},"A total of 107 business school students were surveyed.",{"name":116,"@type":107,"acceptedAnswer":117},"Which factors significantly influence Internet entrepreneurship intentions?",{"text":118,"@type":110},"Compatibility, subjective norm, and perceived behavioral control significantly influence the intention to pursue Internet entrepreneurship.","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},259660,1789334982,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":50,"category_name":51,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":47,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":61,"update_tm":126,"read_time":73,"preview_page_count":4},1374402524268,"https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2","International Journal of Information and Education Technology, Vol. 6, No. 10, October 2016  \nDeterminants of Internet Entrepreneurship Intentions among Business School Students  \nYu-Min Wang and Yi-Shuan Lin  \nAbstract—This study presents the findings of an empirical study to analyze factors affecting business school students’intentions to Internet entrepreneurship. An integrated model, based on Rogers’ (1983) innovation diffusion theory, Ajzen’s (1991) theory of planned behavior, and Internet entrepreneur characteristics, is proposed. A total of 107 business school students were surveyed. The research hypotheses were examined using multiple regression analysis. The results show that compatibility, subjective norm, and perceived behavioral control influence significantly the intention of business school students to Internet entrepreneurship. The research findings deepen our understanding of business school students ’intentionss to become Internet entrepreneurs.  \nIndex Terms—Internet entrepreneurship, innovation diffusion theory, theory of planned behavior.  \nI. INTRODUCTION  \nWith the increasing popularity of the Internet and communication technologies, more and more consumers inquiry and purchase products on the Internet. By 2017 it is predicted that business-to-consumer electronic commerce (EC) sales revenue will reach about $2.36 trillion dollars [1] . Furthermore, the emergent Internet commerce applications substantially reduce the costs of creating and operating a business [2] . Therefore, the booming EC creates an opportunity for Internet entrepreneurship. Internet entrepreneurs draw on their familiarity with the culture and technologies of the Internet in their attempts to develop businesses [2], [3]. While the promise of the low cost and high potentials of EC startup attracts entrepreneurs, the success rate is actually very low [4] .  \nUnderstanding the formation of entrepreneurial intentions is important, because intention is an effective predictor of entrepreneurial behaviors [5], [6] .  \nThis paper reports an empirical study of the factors affecting business school students’ intentions to Internet entrepreneurship. The results help researchers and educators to understand what enables and inhibits business school students’ intentions to become Internet entrepreneurs.  \nII. THEORETICAL BACKGROUND  \nA. Theory of Planned Behavior (TPB)  \nManuscript received February 15, 2015; revised May 7, 2015. This work was partially supported by the Ministry of Science and Technology in Taiwan under the grant MOST 103-2511-S-260-002-MY2 .  \nThe authors are with the National Chi Nan University, Taiwan (e-mail: [ymwang@ncnu.edu.tw](ymwang@ncnu.edu.tw), [s101213517@ncnu.edu.tw](s101213517@ncnu.edu.tw)).  \nAjzen’s theory of planned behavior (TPB) is useful in explaining and predicting a wide range of behaviors [7] . The TPB (Fig. 1), asserts that attitude, subjective norm, and perceived behavioral control affect behavioral intention and this, in turn, affects actual behavior. Behavioral intention is a particularly reliable predictor ofactual behavior. Attitude taps the individual’s perception of the desirability of performing the intended behavior [8] . Subjective norm refers how an individual accounts for the judgment of important others about the planned behavior [9] . Perceived behavioral control describes an individual’s perception of whether he or she has the necessary resources, capability, and sense of control in successfully performing the intended behavior [10] . Behavioral intention is a motivational factor that captureshow hard a person is willing to try to perform a behavior [9] .  \nFig. 1. Theory of planned behavior [7] .  \nB. Innovation Diffusion Theory (IDT)  \nResearchers frequently draw on Rogers’ innovation diffusion theory (IDT) [11] . to explain an individual’sadoption of an innovation. Rogers identifies five innovative characteristics as antecedents to any adoption decision: relative advantage, compatibility, compl","cbCaicLZmFlytVVR","https://ap.wps.com/l/cbCaicLZmFlytVVR","pdf",1014533,"English","# Abstract\n# Introduction\n# Theoretical Background\n## Theory of Planned Behavior (TPB)\n## Innovation Diffusion Theory (IDT)\n## Summary\n# Research Model and Hypotheses","[{\"question\":\"What research model is used to analyze students’ Internet entrepreneurship intentions?\",\"answer\":\"The study uses an integrated model based on Rogers’ innovation diffusion theory, Ajzen’s theory of planned behavior, and characteristics of Internet entrepreneurs.\"},{\"question\":\"How many business school students were surveyed in the study?\",\"answer\":\"A total of 107 business school students were surveyed.\"},{\"question\":\"Which factors significantly influence Internet entrepreneurship intentions?\",\"answer\":\"Compatibility, subjective norm, and perceived behavioral control significantly influence the intention to pursue Internet entrepreneurship.\"}]","Determinants of Internet Entrepreneurship Intentions among Business School Students - Article | PDF"]