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App'ification of Enterprise Software - Evaluating Mobile App Characteristics Enabling Online Purchase And Their Portability To Enterprise Application Software

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  • Wenzel, Stefan

Abstract

Enterprise application software vendors seek to re-produce the success story of consumer mobile apps in their domain. Like private users, business users ask for flexible, consumer-grade applications for their daily work. However, enterprise software applications do not meet those expectations and are not ready for the “App Store Model”. Therefore, IT departments are facing new challenges with consumerization and “shadow IT”. Practitioners and researchers expect to counteract these issues if enterprise software was more flexible and consumer-like – in other words, if enterprise software was app’ified. Therefore, this study investigates typical “app characteristics” from the business users’ perspective. Special focus is on the characteristics that are relevant for online purchases. Furthermore, it is evaluated if app characteristics can be applied to enterprise application software. To study the “app phenomenon”, a self-completion questionnaire and mainly quantitative data analyses have been used. The results are addressed to both IS researchers and practitioners. For IS research this study offers insights into the under-investigated topic of apps as an own concept. Enterprise software vendors and IT departments can use the results to design enterprise software which targets an employee-driven adoption using online channels or to assess existing applications and app store initiatives.

Suggested Citation

  • Wenzel, Stefan, 2014. "App'ification of Enterprise Software - Evaluating Mobile App Characteristics Enabling Online Purchase And Their Portability To Enterprise Application Software," EconStor Preprints 146785, ZBW - Leibniz Information Centre for Economics.
  • Handle: RePEc:zbw:esprep:146785
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    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Novelli, Francesco & Wenzel, Stefan, 2013. "Adoption of an online sales channel and “appification” in the enterprise application software market: a qualitative study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 61300, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Bruner, Gordon II & Kumar, Anand, 2005. "Explaining consumer acceptance of handheld Internet devices," Journal of Business Research, Elsevier, vol. 58(5), pages 553-558, May.
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