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The impact of absorptive capacity and innovation ambidexterity on sustainable competitive advantage: the case of Indonesian higher education

Author

Listed:
  • Astadi Pangarso

    (University of Brawijaya, Indonesia)

  • Astadi Pangarso

    (Telkom University, Indonesia)

  • Endang Siti Astuti

    (University of Brawijaya, Indonesia)

  • Kusdi Raharjo

    (University of Brawijaya, Indonesia)

  • Tri Wulida Afrianty

    (University of Brawijaya, Indonesia)

Abstract

The purpose of this study is to empirically examine the mediation role of innovation ambidexterity on the impact of absorptive capacity on sustainable competitive advantage from the previous researchers' data article publication. A survey of academic and non-academic staff from sixty four private higher education institutions (PHEIs) in Bandung, West Java, Indonesia was conducted for the research. A total of five hundred and thirty completed questionnaires from 478 academic and 52 non academic staff were statistically analyzed using SPSS and smart PLS. Investigating sustainable competitive advantage related issues for PHIEs in Indonesia is important for a number of reasons, including supporting the vision of the Golden Indonesia generation 2045. Moreover, the impact of absorptive capacity on sustainable competitive advantage in the literature is remains unclear, thus a new theoretical framework is needed related to the concept of ambidexterity. The finding of this research shows that innovation ambidexterity partially mediates the effect of absorptive capacity on sustainable competitive advantage as proposed in the hypothesis. The implications of this study are discussed.

Suggested Citation

  • Astadi Pangarso & Astadi Pangarso & Endang Siti Astuti & Kusdi Raharjo & Tri Wulida Afrianty, 2020. "The impact of absorptive capacity and innovation ambidexterity on sustainable competitive advantage: the case of Indonesian higher education," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(3), pages 2436-2455, March.
    • Handle: RePEc:ssi:jouesi:v:7:y:2020:i:3:p:2436-2455
    DOI: 10.9770/jesi.2020.7.3(65)
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    References listed on IDEAS

    as
    1. Gheorghe PREDA, 2014. "Organizational Ambidexterity And Competitive Advantage: Toward A Research Model," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(1), pages 67-74, May.
    2. Radoslaw Nowak, 2017. "Demystifying Absorptive Capacity: Focus On Firm Size And Employee Empowerment," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(06), pages 1-19, August.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Minerva Martínez Ávila, 2022. "Competitive Advantage and Knowledge Absorptive Capacity: the Mediating Role of Innovative Capability," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 185-210, March.
    2. Hanlie Smuts & Alta Van der Merwe, 2022. "Knowledge Management in Society 5.0: A Sustainability Perspective," Sustainability, MDPI, vol. 14(11), pages 1-27, June.

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    More about this item

    Keywords

    absorptive capacity; innovation ambidexterity; sustainable competitive advantage; non vocation private higher education institutions;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • N35 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Asia including Middle East

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