The Impact of Network Capability on Knowledge Creation and Business Performance: a Mediator Moderator Analysis

Background: Businesses face dynamic market challenges that ultimately affect businesses, especially SMEs. SMEs' success can be realized through network capability, facilitating access to markets, resources, information, and collaboration opportunities to support business competitiveness and growth.Purpose: Objective: This study examines and analyzes the effect of network capability in creating new knowledge on business performance, with knowledge creation as a mediator and agile capability as a moderator.Design/methodology/approach: This research was conducted in the food, beverage, furniture, fashion, electronics, textile, and beauty industries, involving 215 SMEs in East Java, including managers, SPVs, and decision-makers. A non-probability sampling technique was used for sample selection. Non-probability sampling methods are used to select respondents, while purpose sampling techniques focus on specific subgroups that have certain characteristics. Data analysis used quantitative methods, specifically Mplus 8 software, to test the research hypothesis.Findings/Result: The results showed that network capability significantly positively affects knowledge creation. Furthermore, network capability has a significant positive impact on business performance, mediated by knowledge creation. This study also found that the variable of knowledge creation on business performance moderated by agile capability does not strengthen. Agile capability did not moderate the relationship significantly, indicating that too much change or rapid adaptation can disrupt the consistency of long-term strategies, ultimately detrimental to overall business performance.Conclusion: This study shows that network capability positively affects knowledge creation and business performance while agile capability does not significantly moderate the relationship between the two, so further research can explore other variables, such as digital transformation capability. SME success can be realized through networking capability that facilitates access to markets, resources, information, and collaboration opportunities, supporting business competitiveness and growth in an evolving marketplace.Originality/value (State of the art): These findings contribute to the business by enhancing skill capabilitiy and fulfilling business advantages for business products. Keywords: network capability, knowledge creation, agile capability, business performance, and market dynamics

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Publication Details

Journal
Indonesian Journal of Business and Entrepreneurship
Published
2025-05-31
DOI
https://doi.org/10.17358/ijbe.11.2.276
Citations
2
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
8.34

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article

The Impact of Network Capability on Knowledge Creation and Business Performance: a Mediator Moderator Analysis

Wahyu Eko Pujianto, Izyanti Awang Razli, Nico Irawan, Bella May Ranti Putri
2 citations
Indonesian Journal of Business and Entrepreneurship
Technology Adoption and User Behaviour
8.34
article

The Impact of Network Capability on Knowledge Creation and Business Performance: a Mediator Moderator Analysis

Wahyu Eko Pujianto, Izyanti Awang Razli, Nico Irawan, Bella May Ranti Putri
article en
2 citations

Abstract

Background: Businesses face dynamic market challenges that ultimately affect businesses, especially SMEs. SMEs' success can be realized through network capability, facilitating access to markets, resources, information, and collaboration opportunities to support business competitiveness and growth.Purpose: Objective: This study examines and analyzes the effect of network capability in creating new knowledge on business performance, with knowledge creation as a mediator and agile capability as a moderator.Design/methodology/approach: This research was conducted in the food, beverage, furniture, fashion, electronics, textile, and beauty industries, involving 215 SMEs in East Java, including managers, SPVs, and decision-makers. A non-probability sampling technique was used for sample selection. Non-probability sampling methods are used to select respondents, while purpose sampling techniques focus on specific subgroups that have certain characteristics. Data analysis used quantitative methods, specifically Mplus 8 software, to test the research hypothesis.Findings/Result: The results showed that network capability significantly positively affects knowledge creation. Furthermore, network capability has a significant positive impact on business performance, mediated by knowledge creation. This study also found that the variable of knowledge creation on business performance moderated by agile capability does not strengthen. Agile capability did not moderate the relationship significantly, indicating that too much change or rapid adaptation can disrupt the consistency of long-term strategies, ultimately detrimental to overall business performance.Conclusion: This study shows that network capability positively affects knowledge creation and business performance while agile capability does not significantly moderate the relationship between the two, so further research can explore other variables, such as digital transformation capability. SME success can be realized through networking capability that facilitates access to markets, resources, information, and collaboration opportunities, supporting business competitiveness and growth in an evolving marketplace.Originality/value (State of the art): These findings contribute to the business by enhancing skill capabilitiy and fulfilling business advantages for business products. Keywords: network capability, knowledge creation, agile capability, business performance, and market dynamics

Indonesian Journal of Business and EntrepreneurshipVol. 11(2)
Thailand Institute of Scientific and Technological Research (TH), Universiti of Malaysia Sabah (MY), Universitas Airlangga (ID), Universitas Nahdlatul Ulama Indonesia (ID)
Universitas Airlangga, Division of Human Resource Development
Openalex Percentile: Top 3%
Technology Adoption and User Behaviour
8.34
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