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Factors Influencing the Adoption of Mobile Application Development Platforms: A Qualitative Content Analysis of Developers' Online Reviews

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  • Mohammad Kamel Daradkeh

    (Yarmouk University, Irbid, Jordan)

  • Haneen Ahmad Saleh Sabbahein

    (Yarmouk University, Irbid, Jordan)

Abstract

Mobile application development platforms (MADPs) vary in terms of their development capabilities and competency to fulfill the specific needs of organizations. Therefore, acknowledging the most appropriate MADP to adopt remains a challenging task for many organizations. Aiming to investigate the key factors of MADPs adoption in organizations, this study analyzed 1200 online evaluation reviews for six widely used MADPs posted by mobile applications developers. Based on the content analysis of online reviews, 26 factors emerged as significant contributors to the adoption decision of MADPs from the standpoint of developers. These factors were integrated into a conceptual framework of MADPs adoption based on the technology-organization-environment (TOE) framework. The results of this study indicate that in addition to the technological capabilities, the adoption decision of MADPs depends on several organizational and environmental factors. These results provide not only a theoretical foundation for further research on MADPs adoption but also offers actionable guidance for practical implementation.

Suggested Citation

  • Mohammad Kamel Daradkeh & Haneen Ahmad Saleh Sabbahein, 2019. "Factors Influencing the Adoption of Mobile Application Development Platforms: A Qualitative Content Analysis of Developers' Online Reviews," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 15(4), pages 43-59, October.
    • Handle: RePEc:igg:jeis00:v:15:y:2019:i:4:p:43-59
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    Cited by:

    1. Anderson Ngelambong & Siti Norsyafiqah Salim & Saiful Bahri Mohd Kamal & Mauren Gita Miranti, 2024. "When Tech Goes Sour: A Directed Qualitative Content Analysis of Negative User Experiences in Food and Beverage Mobile Apps," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(6), pages 1620-1635, June.
    2. Mohammad Daradkeh, 2022. "Analyzing Sentiments and Diffusion Characteristics of COVID-19 Vaccine Misinformation Topics in Social Media: A Data Analytics Framework," International Journal of Business Analytics (IJBAN), IGI Global, vol. 9(3), pages 1-22, July.

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