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An explanatory and predictive model for organizational agility

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  • Felipe, Carmen M.
  • Roldán, José L.
  • Leal-Rodríguez, Antonio L.

Abstract

Organizational agility (OA), as a key dynamic capability, is a firm's ability to enable sensing environmental changes and responding efficiently and effectively to them. This study explores this topic further by analyzing the part that the information systems capabilities (ISC) variable plays as an antecedent of OA, and absorptive capacity (AC) as a mediator construct. Furthermore, this study tests the negative moderating role of hierarchy culture (HC) in the AC–OA link. Using partial least squares (PLS) and the PROCESS macro, this work finds evidence of these relations proposed, and the existence of a conditional mediating situation that HC generates. In addition, the main model with direct effects (ISC and AC as predictors) achieves an appropriate level of predictive validity for the key endogenous construct (OA).

Suggested Citation

  • Felipe, Carmen M. & Roldán, José L. & Leal-Rodríguez, Antonio L., 2016. "An explanatory and predictive model for organizational agility," Journal of Business Research, Elsevier, vol. 69(10), pages 4624-4631.
  • Handle: RePEc:eee:jbrese:v:69:y:2016:i:10:p:4624-4631
    DOI: 10.1016/j.jbusres.2016.04.014
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    References listed on IDEAS

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    1. Cepeda Carrión, Gabriel & Henseler, Jörg & Ringle, Christian M. & Roldán, José Luis, 2016. "Prediction-oriented modeling in business research by means of PLS path modeling: Introduction to a JBR special section," Journal of Business Research, Elsevier, vol. 69(10), pages 4545-4551.
    2. Jansen, J.J.P. & van den Bosch, F.A.J. & Volberda, H.W., 2005. "Managing Potential and Realized Absorptive Capacity: How do Organizational Antecedents matter?," ERIM Report Series Research in Management ERS-2005-025-STR, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    4. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
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