Toward a Fitness Landscape Model of Firms' IT-Enabled Dynamic Capabilities

Toward a Fitness Landscape Model of Firms' IT-Enabled Dynamic Capabilities

Rogier van de Wetering, Rik Bos
DOI: 10.4018/978-1-7998-3473-1.ch071
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Abstract

This chapter presents, extends, and integrates a complexity science perspective and applies this to the firm's IT-enabled dynamic capabilities (ITDCs). By doing so, this chapter leverages statistical survey data and uses them as parameters for a simulation using Kauffman's NK-model. This NK-model creates stochastically generated fitness landscapes that are parameterized using a finite number of ‘N' elements, or capabilities, and ‘K' complex interactions between those capabilities, and studies the performance (fitness) of systems. We simulate a firm's effort to adaptively explore and walk through a fitness landscape of possible strategies of inter-related capabilities to reach toward higher levels of fitness of ITDCs. Also, our fitness landscape model provides realistic scenarios with a nexus of possible business strategies that can be employed considering a firm's current status, interdependency, and alignment among its capabilities. Our work suggests that firms achieve the highest fitness values when the interdependency among the individual capabilities is relatively small.
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Introduction

Scholars posit that information systems and information technology (IS/IT) are capable of revolutionizing the way firms operate, and hence drive a firm’s performance under rapidly changing conditions (Agarwal & Selen, 2009; El Sawy, Malhotra, Park, & Pavlou, 2010; Kohli & Grover, 2008; R. Van de Wetering, Mikalef, & Pateli, 2017b). In understanding this particular role of IS/IT within the turbulent business ecosystem and landscape, previous studies have emphasized the importance of IS/IT in enabling organizational capabilities (Kohli & Grover, 2008). Organizational capabilities represent firms’ potential to achieve specific business strategies and management objectives using focused deployment and are considered the building blocks on which firms compete within the business ecosystem (Barney, 1991). Firms that are capable of targeting and deploying IS/IT initiatives in support of these organizational capabilities are more likely to realize business value from their IT resource and IT competencies inventory (Sambamurthy, Bharadwaj, & Grover, 2003; R. Van de Wetering, Mikalef, & Pateli, 2017a). The extant literature refers to this specific capacity to effectively use IT functionalities to support IT-related activities as an IT leveraging competence (Pavlou & El Sawy, 2010).

The core principle of examining the particular value of IS/IT in enterprise processes it is embedded, i.e., IT-enabled capabilities is also highly encouraged in contemporary IS literature (Grover & Kohli, 2012; Kohli & Grover, 2008; Mikalef, Pateli, & van de Wetering, 2016). IT-enabled capabilities gained considerable as they collectively create business value and drive a firm’s competitive edge (El Sawy & Pavlou, 2008; Mithas, Tafti, Bardhan, & Goh, 2012; Roberts, Galluch, Dinger, & Grover, 2012).

The capabilities we address in this current study constitute the dimensions of IT-enabled dynamic capabilities (ITDC). We define ITDCs as a firm’s ability to leverage its IT resources and IT competencies, in combination with other organizational resources and capabilities, to address rapidly changing business environments (Mikalef et al., 2016). Based on the notion that firms must be able to be stable enough to continue to deliver value in their distinctive way, and agile and adaptive enough to restructure their value proposition when circumstances demand it, there is a well-documented distinction between ordinary (operational or zero-order) and these ITDCs (Drnevich & Kriauciunas, 2011; Mikalef et al., 2016; Pavlou & El Sawy, 2011; Winter, 2003). Ordinary capabilities enable a firm to make a living in the present, while ITDCs act as a continuous driver of evolution to changing business requirements (Winter, 2003). Thus, ITDCs help firms decision-makers in practice by extending, modifying, and reconfiguring existing operational capabilities into new ones that better match the environmental conditions.

There is overwhelming evidence concerning the impact of ITDCs on firm performance at an aggregate level (Mikalef & Pateli, 2017; Rai & Tang, 2010). However, there is still little consensus on how specific interrelations (e.g., too many or too little epistatic links and interdependency among individual capabilities) result in the achievement toward higher levels of performance and evolutionary fitness. Moreover, the extant literature has predominantly focused on the aggregate construct level of ITDCs.

Key Terms in this Chapter

NK Model: Provides a comprehensive framework to evaluate the effects of relationships between ( N ) components of systems and their respective epistatic linkages or relationships ( K ).

Complexity Science: A scientific umbrella that studies complex adaptive systems (CAS) and has become the de facto standard and holistic ‘lens’ for the analysis and evaluation of complex and nonlinear relations between constituent entities under continuous change.

‘K’: K represents the richness of epistatic linkages (term used to describe interacting genes) among N elements.

Organizational Capabilities: Firms’ potential to achieve specific business strategies and management objectives using focused deployment and are considered the building blocks on which firms compete within the business ecosystem.

‘N’: The number of elements that represent the system under study.

Fitness Landscapes: Can be considered a model that can be used to describe the particular evolutionary fitness of a system within a particular environment.

IT-Enabled Dynamic Capabilities (ITDCs): Firm’s ability to leverage its IT resources and IT competencies, in combination with other organizational resources and capabilities, to address rapidly changing business environments.

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