Efficiency or Innovation?: The Long-Run Payoff of Cloud Computing

Efficiency or Innovation?: The Long-Run Payoff of Cloud Computing

Zhenghua Li, Huigang Liang, Nianxin Wang, Yajiong Xue, Shilun Ge
Copyright: © 2021 |Pages: 23
DOI: 10.4018/JGIM.287610
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Abstract

Considering the mixed arguments and uncertainty about the payoff of cloud computing, this paper empirically studies the long-term cloud computing impact on the financial performance, specifically from the perspective of efficiency and innovation. Taking 253 pairs of listed companies in China as the research sample, propensity score matching and difference in differences techniques combined with OLS regression are conducted to analyze a rolling 5-year panel data. The analysis results show that cloud computing adoption leads to years of financial performance decline followed by an upturn. The downward trend is more pronounced when it is adopted with innovation. This paper contributes to the existing literatures by leveraging archival performance data to verify the long-term business value and revealing the value realization difference between efficiency- and innovation-oriented cloud computing adoptions. The findings remind the managers to see the two sides of cloud computing and make rational adoption decisions, especially cloud-based innovation, according to their actual situations.
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Introduction

Cloud computing (CC), an Internet-based and on-demand IT service model, was first put forward by the Google CEO, Eric Schmidt, at the 2006 Search Engine Conference. In the CC model, the development, deployment, update, maintenance, and payment of IT services undergo fundamental changes (Marston et al., 2011). With the rapid development, the business value of CC, which has always been a topic of great concern in the IT domain (Anandhi et al., 1999; Dewan & Ren, 2011; Steelman et al., 2019; Weill, 1992), has attracted the interest of academic and industry. CC is believed to have the advantages of reducing the cost of information infrastructure, providing fast and convenient access to hardware and software, lowering the barriers to IT innovation, facilitating the expansion of the service scale, and promoting new applications and services (Marston et al., 2011). However, the centralized nature of CC also causes some shortcomings (Bayramusta & Nasir, 2016; Joe-Wong & Sen, 2018; Euripidis et al., 2019; Marston et al., 2011). The primary obstacles of cloud adoption are the privacy and security issues, which bring risks to the adopters and hinder the dissemination of CC (Wang et al., 2019). The essential high speed internet access brings additional cost to cloud adoption (Bayramusta & Nasir, 2016). Further, the migration of the legacy system to the cloud increases the integration requirement because of the unified data and interface standards that are different from that of the legacy system (Joe-Wong & Sen, 2018; Loukis et al., 2019). It was reported that, for instance, Symantec clients were prevented from administering some email and web security services lasted for 24 hours due to the disruption caused by integration defect (Tsidulko, 2015). Another example is that the data entered by Salesforce customers into Customer Relationship Management (CRM) systems were wiped out also resulted from integration issues and took days to fix it (Lauchlan, 2016).

These positive and negative studies and reports focusing on the impact of CC just show one side of the coin. The regular pattern of CC value achievement in the long-run is still not clear. Since firms invest an amount of capital on CC, maybe at the cost of the legacy systems, it is fair to question what will a firm experience after investing in CC and whether the firm receives its investment’s worth? Therefore, considering the uncertainty, the CC pay-off in the long-run needs more empirical investigation.

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