The effect of explorative and exploitative skills on innovation process during the merger of public research organizations

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This study aims to analyze the effects of explorative and exploitative skills, along with the moderating role of knowledge vacuum, on innovation process and performance during the merger of public research organizations (PROs) to better comprehend these organizational factors. During the merger of PROs, explorative and exploitative skills can prevent a slow innovation process and knowledge loss. Meanwhile, innovation also serves as PRO’s core activity. However, the effect of explorative and exploitative skills (and also the knowledge vacuum) on the innovation process in PROs is still debatable, as they often disregard the knowledge loss effect. This study used 314 questionnaires, which were responded to by scientists of basic and technological research in Indonesia’s merged PRO, namely the National Research and Innovation Agency (BRIN). Data were collected from 2023 to 2024 and analyzed using structural equation modeling (SEM) with Smart-PLS 4.0. The results reveal that the knowledge vacuum has a positive and significant influence on both exploratory-exploitative skills and absorptive-adaptive capabilities of scientists, which will eventually shape their distinctive competencies differently. However, despite the positive influence of the knowledge vacuum, the organization needs to strengthen scientists’ explorative and exploitative skills by reinforcing strategic human resource management through periodic training, performing joint activities or active innovation hubs, and guiding scientists to cope with the dynamic transition periods due to mergers. All of them aim to reinforce knowledge exchange and research networks.

Acknowledgment
This study had no funding and did not employ artificial intelligence. This article is original and was not published in any other language or concurrently submitted to other journals. This study is also clear from reuse of any material.
Acknowledgments are expressed to all scientists in National Research and Innovation Agency that voluntarily participated in this study.

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    • Figure 1. Conceptual framework
    • Figure 2. Path coefficient value in hypotheses framework
    • Figure 3. Importance-performance map of innovation process (IPROS)
    • Table 1. Respondents’ profile
    • Table 2. Measurement model results
    • Table 3. Hypotheses testing results
    • Table 4. The variable values of importance-performance in innovation process (IPROS)
    • Table A1. Questionnaire
    • Conceptualization
      Kirana Rukmayuninda Ririh, Machfud, Elisa Anggraeni, Nurul Rochman, Nosica Rizkalla
    • Data curation
      Kirana Rukmayuninda Ririh, Machfud, Elisa Anggraeni, Nurul Rochman
    • Formal Analysis
      Kirana Rukmayuninda Ririh, Machfud, Elisa Anggraeni, Nurul Rochman, Nosica Rizkalla
    • Funding acquisition
      Kirana Rukmayuninda Ririh, Machfud, Elisa Anggraeni, Nurul Rochman
    • Investigation
      Kirana Rukmayuninda Ririh
    • Methodology
      Kirana Rukmayuninda Ririh, Machfud, Elisa Anggraeni, Nurul Rochman
    • Project administration
      Kirana Rukmayuninda Ririh
    • Resources
      Kirana Rukmayuninda Ririh, Machfud, Elisa Anggraeni, Nurul Rochman
    • Software
      Kirana Rukmayuninda Ririh, Elisa Anggraeni
    • Validation
      Kirana Rukmayuninda Ririh, Machfud, Nurul Rochman, Nosica Rizkalla
    • Visualization
      Kirana Rukmayuninda Ririh
    • Writing – original draft
      Kirana Rukmayuninda Ririh, Machfud, Elisa Anggraeni, Nurul Rochman, Nosica Rizkalla
    • Writing – review & editing
      Kirana Rukmayuninda Ririh, Machfud, Elisa Anggraeni, Nurul Rochman, Nosica Rizkalla
    • Supervision
      Machfud, Elisa Anggraeni, Nurul Rochman