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Effectiveness of top management support in enterprise systems success: a contingency perspective of fit between leadership style and system life-cycle

Author

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  • Zhen Shao
  • Yuqiang Feng
  • Qing Hu

Abstract

Top management support has been identified as one of the most important factors in the success of enterprise systems (ES). However, few studies have addressed the issue of what type of leadership is most effective in which phase of the ES life-cycle. Given the different challenges to leadership in the different phases of an ES, a ‘one-style-fits-all’ approach is clearly inadequate. In this study, we analyze the contingent fit between the recognized leadership styles and the phases in the ES life-cycle. The evidence from a multi-case study provides support for our contingency propositions that transformational leadership fits best with the adoption phase, transactional leadership fits best with the implementation phase, and two variations of combined transformational and transactional leadership styles are most effective in the assimilation and extension phases. This study breaks new theoretical ground in information systems literature by highlighting the contingencies of leadership effectiveness in the success of ES at different phases. It also provides prescriptive insights for top executives in terms of who to put in charge and what type of leadership style to look for when considering adopting and implementing new ES, assimilating the implemented systems, or contemplating integrations with business partners.

Suggested Citation

  • Zhen Shao & Yuqiang Feng & Qing Hu, 2016. "Effectiveness of top management support in enterprise systems success: a contingency perspective of fit between leadership style and system life-cycle," European Journal of Information Systems, Taylor & Francis Journals, vol. 25(2), pages 131-153, March.
    • Handle: RePEc:taf:tjisxx:v:25:y:2016:i:2:p:131-153
    DOI: 10.1057/ejis.2015.6
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    Cited by:

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    2. Meda, Francesca & Bobini, Michela & Meregaglia, Michela & Fattore, Giovanni, 2025. "Scaling up integrated care: Can community hospitals be an answer? A multiple-case study from the Emilia-Romagna region in Italy," Health Policy, Elsevier, vol. 160(C).
    3. Jing Chen & Saeed Tajdini, 2025. "A moderated model of artificial intelligence adoption in firms and its effects on their performance," Information Technology and Management, Springer, vol. 26(3), pages 407-419, September.
    4. Tuba Bakici & Maher a N Agi & Tekin Kose & Horst Treiblmaier, 2025. "Blockchain success in the post-adoption phase: extending the information systems success model with supply chain complexity," Post-Print hal-05444075, HAL.
    5. Iris Maria Oliveira Sousa & Fabíola Kaczam & Luciano Luiz Dalazen & Wenner Glaucio Lopes Lucena & Wesley Vieira Silva & Claudimar Pereira Veiga, 2024. "The dynamics of the life cycle theory and organizational culture: a systematic literature review," SN Business & Economics, Springer, vol. 4(1), pages 1-26, January.
    6. Tang, Zhenya & Xue, Botong & Luo, Xin (Robert) & Zhou, Yang, 2024. "Antecedents and consequences of social media group users' fatigue: A mixed-methods study under educational context," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    7. Nazuri, Siti Nur Shuhada & Mohamed, Intan Salwani & Mohd Daud, Norzaidi, 2025. "Survival determinants of Fintech firms in Malaysia-moderating role of Fintech experience," Technological Forecasting and Social Change, Elsevier, vol. 211(C).

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