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Journal ArticleDOI

Information Technology Competencies, Organizational Agility, and Firm Performance: Enabling and Facilitating Roles

TL;DR: The model and hypotheses proposed provide support for the enabling and facilitating roles of IT competencies and suggest that managers should account for multiple contingencies observed and unobserved while assessing the effects of IT Competencies on organizational agility and firm performance.
Abstract: The hypercompetitive aspects of modern business environments have drawn organizational attention toward agility as a strategic capability. Information technologies are expected to be an important competency in the development of organizational agility. This research proposes two distinct roles to understand how information technology competencies shape organizational agility and firm performance. In their enabling role, IT competencies are expected to directly enhance entrepreneurial and adaptive organizational agility. In their facilitating role, IT competencies should enhance firm performance by helping the implementation of requisite entrepreneurial and adaptive actions. Furthermore, we argue that the effects of the dual roles of IT competencies are moderated by multiple contingencies arising from environmental dynamism and other sources. We test our model and hypotheses through a latent class regression analysis on data from a sample of 109 business-to-business electronic marketplaces. The results provide support for the enabling and facilitating roles of IT competencies. Moreover, we find that these dual effects vary according to environmental dynamism. The results suggest that managers should account for multiple contingencies observed and unobserved while assessing the effects of IT competencies on organizational agility and firm performance.
Citations
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Journal ArticleDOI
TL;DR: In this article, the authors identify three stages of digital transformation: digitization, digitalization, and digital transformation, and delineate growth strategies for digital firms as well as the assets and capabilities required in order to successfully transform digitally.

1,072 citations


Cites background from "Information Technology Competencies..."

  • ...In today’s dynamic and unpredictable markets, firms must be flexible: (1) to allow for the repeated switching of organizational roles; (2) to respond to the changing customer needs and introduction of new digital technologies; and (3) to respond to the intensified competition due to the blurring of market boundaries and removal of entry barriers (Chakravarty et al., 2013; Lee et al., 2015)....

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Journal ArticleDOI
TL;DR: The results of a survey of 196 firms in China provide the first empirical evidence for the existence and nature of interrelationships between multiple components of SCI and IT competency and their effects on firm performance.

287 citations

Journal ArticleDOI
TL;DR: It is proposed that IT ambidexterity enhances organizational agility by facilitating operational ambideXterity, and that the magnitude of facilitation depends on the level of environmental dynamism.
Abstract: Organizational agility is a significant business capability. Though there have been numerous studies about the effects of information technology IT capabilities on organizational agility, there has been limited attention on the enabling effects of IT ambidexterity, namely, the dual capacity to explore and exploit IT resources and practices. We propose that IT ambidexterity enhances organizational agility by facilitating operational ambidexterity, and that the magnitude of facilitation depends on the level of environmental dynamism. We test these relationships utilizing data from a large-scale, matched-pair field survey of business and IT executives. The results confirm that a firm's IT ambidexterity does enhance its organizational agility through the mediated effects of operational ambidexterity, and that the dynamism of a firm's environment affects these relationships.

275 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of big data analytics on supply chain agility, supply chain adaptability, and operational performance were investigated using 281 surveys, gathered using a pre-tested questionnaire.

251 citations

Journal ArticleDOI
TL;DR: Analysis of BA capabilities indicates that BA capabilities strongly impact a firm’s agility through an increase in information quality and innovative capability and that both market and technological turbulence moderate the influence of firms' agility on firms' performance.

196 citations

References
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Journal ArticleDOI
TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
Abstract: In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We discuss the comparative advantages of this approach over a one-step approach. Considerations in specification, assessment of fit, and respecification of measurement models using confirmatory factor analysis are reviewed. As background to the two-step approach, the distinction between exploratory and confirmatory analysis, the distinction between complementary approaches for theory testing versus predictive application, and some developments in estimation methods also are discussed.

34,720 citations


"Information Technology Competencies..." refers methods in this paper

  • ...Results Our data analysis followed the two-step procedure espoused by Anderson and Gerbing (1988). First, we ran the measurement model to determine the appropriate number of measurement regimes and the psychometric properties of all measurement items (see §3....

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  • ...Results Our data analysis followed the two-step procedure espoused by Anderson and Gerbing (1988). First, we ran the measurement model to determine the appropriate number of measurement regimes and the psychometric properties of all measurement items (see §3.5). The modified Akaike information criterion (MAIC) values for the latent class confirmatory factor analysis models for all dependent variables (i.e., firm performance, entrepreneurial agility, and adaptive agility) and all independent variables (i.e., entrepreneurial agility, adaptive agility, IT competencies, environmental dynamism, and market orientation) show that a single-regime solution is optimal in all cases. We thus establish measurement invariance, in that each measurement model parameter takes only one unique (not multiple) value. Next, to account for measurement error, we compute factor scores and arrive at the aggregate measures for the latent constructs (e.g., Lastovicka and Thamodaran 1991). Following recommendations from Skrondal and Laake (2001) we use blockwise factor scores—specifically, regression factor scores for independent latent constructs and Bartlett factor scores for the dependent latent construct—then apply them in the CLCRA estimation....

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  • ...Our data analysis followed the two-step procedure espoused by Anderson and Gerbing (1988)....

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  • ...With our CLCRA methodology,8 we can 8 We use the two-step approach espoused by Anderson and Gerbing (1988), largely because of our small sample size relative to the number of parameters we estimated (though we correct for measurement error by using factor scores)....

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Journal ArticleDOI
TL;DR: In this article, structural equation models with latent variables are defined, critiqued, and illustrated, and an overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence.
Abstract: Criteria for evaluating structural equation models with latent variables are defined, critiqued, and illustrated. An overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence. Model assessment is considered to be a complex process mixing statistical criteria with philosophical, historical, and theoretical elements. Inevitably the process entails some attempt at a reconcilation between so-called objective and subjective norms.

19,160 citations


"Information Technology Competencies..." refers methods in this paper

  • ...The reliabilities for the latent constructs, calculated using composite scale reliabilities (Bagozzi and Yi 1988): 0....

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  • ...The reliabilities for the latent constructs, calculated using composite scale reliabilities (Bagozzi and Yi 1988): 0.85 for adaptive agility, 0.72 for entrepreneurial agility, and 0.93 for firm performance....

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Journal ArticleDOI
TL;DR: In this paper, the authors identify six categories of self-reports and discuss such problems as common method variance, the consistency motif, and social desirability, as well as statistical and post hoc remedies and some procedural methods for dealing with artifactual bias.

14,482 citations


"Information Technology Competencies..." refers methods in this paper

  • ...To alleviate common method concerns, we applied Harmon’s single-factor test, using exploratory factor analysis (Podsakoff and Organ 1986)....

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  • ...analysis (Podsakoff and Organ 1986)....

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Journal ArticleDOI
TL;DR: This article used subjective estimates and extrapolations in an analysis of mail survey data from published studies for estimates of the magnitude of bias and found that the use of extrapolation led to substantial improvements over a strategy of not using extrapolation.
Abstract: Valid predictions for the direction of nonresponse bias were obtained from subjective estimates and extrapolations in an analysis of mail survey data from published studies For estimates of the magnitude of bias, the use of extrapolations led to substantial improvements over a strategy of not using extrapolations

11,245 citations