Abstract
The business value of cloud computing has always been concerned by the academic. From the contingent perspective, the business value is affected by various factors. However, the impact of the objective environment is rarely being discussed. In especial, concerning the ambidextrous innovation value of cloud computing, how to develop targeted cloud-based strategies according to the environment so as to achieve the innovation value better remains unclear. By conducting Propensity Score Matching and Difference-in-Differences-in-Differences analysis on the secondary hand performance data of 182 pairs of listed companies, this study investigates how the exploitative and explorative innovation values of cloud computing are impacted by the three environmental characteristics, namely dynamics, munificence, and complexity. The results show that cloud computing significantly promotes exploitative innovation value in less dynamic environment and explorative innovation in high complex environment. Nevertheless, munificence explains a less significant proportion of the variance in ambidextrous innovation performance. This research empirically reveals the moderation effect of environmental characteristics on the ambidextrous innovation value of cloud computing which enriches the research stream and conclusions of cloud computing business value. It implicates that the cloud investors should develop exploitation-oriented strategy under less dynamic environment and exploration-oriented strategy under high complex environment.
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This study is funded by National Natural Science Foundation of China (71970101) , National Natural Science Foundation of China (72074101) and Research Project of High Education Science in Jiangsu University of Science and Technology (2022).
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Appendix
Four robustness checks are conducted including matching with different feature variables, 1-to-3 matching, SCM matching, and analysis in subgroups. Appendix Table 12 presents the four analysis results of In.Af item in DID model. Appendix Table 13 presents the four groups of analysis results of In.Af.Dy, In.Af.Mu, and In.Af.Com items in DIDID model.
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Li, Z., Wang, N., Wang, Z. et al. Empirical Research on the Relationship Between Ambidextrous Innovation Value of Cloud Computing and Environmental Characteristics. J Knowl Econ (2024). https://doi.org/10.1007/s13132-024-01973-2
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DOI: https://doi.org/10.1007/s13132-024-01973-2