The impact of IT capabilities on firm performance: The mediating roles of absorptive capacity and supply chain agility
Highlights
► We propose a model to examine how IT capabilities affect firm performance through absorptive capacity and supply chain agility. ► Both absorptive capacity and supply chain agility will improve firm performance. ► Flexible IT infrastructure will impact absorptive capacity and supply chain agility directly. ► IT assimilation cannot influence absorptive capacity and supply chain agility directly. ► Absorptive capacity and supply chain agility will fully mediate the impacts of IT capabilities on firm performance.
Introduction
Leveraging information technology (IT) to derive competitive advantage is emerging as a top priority for firms [17], [33], [34], [81]. IT capabilities are required for efficient and effective knowledge management and change management in a firm's supply chain [42], [54], [58], [79]. However, previous empirical studies report mixed findings about the effects of IT capabilities on firm performance [54], [79]. “The role and articulation of ‘the underlying mechanisms’ through which IT capabilities improve firm performance remain unclear” ([81], p. 238). As such, scholars have called for more empirical studies on the influential mechanisms of IT capabilities especially in the supply chain context [54], [79].
The current study is an effort toward this research direction. In particular, this study explores the roles of two IT capabilities that affect firm performance, namely, (1) flexible IT infrastructure, which is a carefully planned and developed technological foundation on which present and future IT applications are built [9], [54], [60], and (2) IT assimilation, or the ability to diffuse and routinize IT applications in business processes [3]. Previous studies indicate that both flexible IT infrastructure and IT assimilation are valuable, rare, and imperfectly imitable IT capabilities that firms must acquire to prosper in a rapidly changing business environment [6], [54], [74].
Specifically, firms continue to make significant investments in IT infrastructure, facilitating the flow of knowledge and information across supply chains that, in turn, helps them maintain competitive advantage [14], [33], [61]. Given that the market has become increasingly uncertain, managers now consider creating flexible IT infrastructure as a critical capability that allows firms to achieve superior performance [56]. Thus, greater attention is given to the business value of a flexible IT infrastructure [9], [54], [56], [60]. Furthermore, previous works report that a flexible IT infrastructure alone is insufficient — it simply cannot enable firms to maintain competitive advantage [19], [48], [81]. For example, Devaraj and Kohli [19], indicate that the performance benefits of IT infrastructure investment may not be fully realized unless IT applications are actually assimilated. Practically, as an increasing number of organizational processes are becoming IT-enabled, IT assimilation is becoming essential in supporting business processes within and across organizational boundaries, thereby determining the value realized from IT applications [3], [40], [74].
Recent literature question the direct effects of IT capabilities on firm performance by contending that the effects are mediated by other capabilities [45], [49], [52], [58], [79]. For example, Wade and Hulland [74], state that “information systems exert their influence on the firm through complementary relationships with other firm assets and capabilities” (p.109). Sambamurthy, Bharadwaj, and Grover [58] posit that knowledge management and agility are two important mediators that help establish the nomological network for IT capabilities' impact on firm performance. Mithas et al. [45] further argue that IT capabilities normally affect firm performance by enabling higher-order business capabilities. Following this notion, we draw upon the dynamic capabilities perspective and investigate the underlying influencing mechanisms of IT capabilities. In particular, we follow Grant [24] and Rai et al. [52] in conceptualizing IT capabilities as fundamental capabilities that shape higher-order capabilities (i.e., absorptive capacity and supply chain agility) that, in turn, affect firm performance.
Absorptive capacity refers to a firm's ability to value, assimilate, and apply new knowledge received from external sources, such as customers, suppliers, or alliance partners [18], [42], [82]. Supply chain agility is defined as a firm's ability to effectively collaborate with channel partners to respond to market changes in a rapid manner [7], [65]. Both absorptive capacity and supply chain agility are viewed as the critical, direct sources of superior firm performance in the competitive market [15], [58], [66], [82]. A flexible IT infrastructure provides the platform that can help firms exchange knowledge, align processes, and achieve operation flexibilities, whereas IT assimilation affects the efficiency and effectiveness of business processes within and across organizational boundaries through embedding IT applications into business processes [52], [59], [79]. As such, we propose that IT capabilities (i.e., flexible IT infrastructure and IT assimilation) support the development of absorptive capacity and supply chain agility, thereby influencing firm performance. The research model is supported by data collected from senior executives in China.
The rest of the paper is organized into sections. Section 2 presents the theoretical background and hypotheses development of this study. Section 3 describes the research methodology employed. Section 4 discusses our data analysis and research findings. Finally, Section 5 presents our discussion and conclusion.
Section snippets
Conceptual framework and hypotheses development
The dynamic capabilities perspective is a widely applied paradigm to explain variance in performance across competing firms [5], [68], [77], [83], [84]. With its roots in resource-based view, this theoretical perspective argues that superior firm performance comes from two types of organizational capabilities, namely, dynamic capability and operational capability [12], [20], [29], [83]. The literature formulated the basic difference between dynamic capability and operational capability [29],
Sample and data collection
We conducted a survey in China to test the research model. China has become the world's manufacturing center of consumer products and a global economic power. However, the present study requires the respondents to have specific knowledge of information systems and supply chain management, which makes data collection through a survey questionnaire difficult. Under this condition, we worked with a Chinese educational institution to make our survey feasible. This institution is well known for its
Data analysis and results
Given that all data were perceptual and collected from a single source at one point in time, we checked the possible common method bias using Harman's one-factor test. The results showed that the test can categorize the items into seven constructs with eigenvalues greater than 1.0, thus accounting for 64.49% of the variance. The first construct did not account for the majority of the variance (15.60%), indicating that the common method bias was not a serious concern in this study. Furthermore,
Discussion, limitations, and implications
The purpose of this study is to investigate the influence of IT capabilities on firm performance in the supply chain context. By applying the dynamic capabilities perspective and the view of a hierarchy of capabilities, this study proposes a conceptual model in which IT capabilities, as lower-order capabilities, exert influence on firm performance through higher-order capabilities, namely absorptive capacity and supply chain agility. Our empirical findings on the effects of IT capabilities,
Acknowledgments
The work described in this paper was supported by the grants from the National Natural Science Foundation of China (NSFC: 71101136, 71201150, and 71090401/71090400); the General Research Fund sponsored by the Research Grants Council of Hong Kong (RGC: 9041614 and 9041720), and the NSFC/RGC Joint Research scheme (71061160505/9054004).
Hefu Liu is an associate professor in School of Management at the University of Science and Technology of China. He earned his PhD degree with the University of Science and Technology of China and City University of Hong Kong. He has published in Journal of Operations Management, Decision Support Systems, Journal of Global Information Management, International Journal of Operations and Production Management, and in the academic conference ICIS, PACIS and AMCIS.
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Hefu Liu is an associate professor in School of Management at the University of Science and Technology of China. He earned his PhD degree with the University of Science and Technology of China and City University of Hong Kong. He has published in Journal of Operations Management, Decision Support Systems, Journal of Global Information Management, International Journal of Operations and Production Management, and in the academic conference ICIS, PACIS and AMCIS.
Weiling Ke is an associate professor in Operations and Information Systems with the School of Business at Clarkson University. She earned her PhD degree with the National University of Singapore. Weiling has been doing research on inter-organizational knowledge sharing, Open Source Software development, e-government development and enterprise system implementation. She has published with Journal of Operations Management, IEEE transactions on Engineering Management, the Communications of ACM, International Journal of Electronic Commerce, Decision Support Systems, Personnel Psychology and other IS journals and proceedings.
Kwok-Kee Wei is Chair Professor in the Department of Information Systems at the City University of Hong Kong. He obtained his Ph.D. from the University of York and B.S. from Nanyang University. His research focuses on human–computer interaction, innovation adoption and management, electronic commerce, and knowledge management. Dr. Wei has published widely in the information systems field with articles appearing in Information Systems Research, Management Science, Journal of Management Information Systems, MIS Quarterly, Journal of the American Society for Information Science and Technology, ACM Transactions on Information Systems, ACM Transactions on Computer–Human Interaction, IEEE Transactions on Systems, Man, and Cybernetics, Decision Support Systems, IEEE Transactions on Professional Communication, International Journal of Human–Computer Studies, and European Journal of Information Systems.
Zhongsheng Hua received the Ph.D. degree in Computer Science from University of Science and Technology of China (USTC) in 2000. He currently is a professor and associate dean of School of Management, USTC. His research interests include decision analysis, production and operations management, and supply chain management. He has published academic papers in many journals, such as Production and Operations Management, Marketing Science, European Journal of Operational Research, Decision Support Systems, International Journal of Operations & Management, and International Journal of Production Research. He has also published three books.