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The role of incubator classification on performance of incubators in Kenya

Author

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  • Miriti Jane Kinya

    (School of Business, Karatina University, P.O Box 1957-10101, Karatina, Nyeri, Kenya)

  • Kenneth Lawrance Wanjau

    (School of Business, Karatina University, P.O Box 1957-10101, Karatina, Nyeri, Kenya)

  • Nyagweth Ebenezer Odeyo

    (School of Business, Karatina University, P.O Box 1957-10101, Karatina, Nyeri, Kenya)

Abstract

The study sought to assess the importance of classifying incubators based on the programs offered for optimum performance. Client selection criteria were assessed through three constructs namely: models that fit program goals, uniqueness of ideas, and standard selection tool. A mixed cross-sectional and causal design was adopted and a census was carried out targeting all the 51 incubators. Primary data was collected with an incubator program as a grouping/ cluster variable yielding a multilevel data structure with incubator centres nested in programs. Linear mixed effect models were fitted using Stata to assess the study objective taking into account the fixed effects for the incubator centre level (level-1) and random effects for the program level (level-2). The uniqueness of ideas was found to have a significant fixed effect on performance at level one while at level two, the study found significant random intercepts of incubator centre performance across the programs. Models that match program goals and standard selection tools were also found to have significant random slopes as level two random covariates in the model. Based on the findings of significant random slopes, the study concluded that incubator classification is key for client selection criteria and enhances incubator performance. Key Words:Incubator Center, Classification, Client Selection Criteria; Multi-level

Suggested Citation

  • Miriti Jane Kinya & Kenneth Lawrance Wanjau & Nyagweth Ebenezer Odeyo, 2021. "The role of incubator classification on performance of incubators in Kenya," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(6), pages 256-267, September.
    • Handle: RePEc:rbs:ijbrss:v:10:y:2021:i:6:p:256-267
    DOI: 10.20525/ijrbs.v10i6.1299
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    References listed on IDEAS

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    1. Miriti Jane Kinya & Kenneth Lawrence Wanjau & Humphrey R. Omondi, 2018. "Client Selection Criteria and Performance of Incubator Centers in Kenya: A Resource based Approach," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 7(1), pages 25-34, January.
    2. Albort-Morant, Gema & Ribeiro-Soriano, Domingo, 2016. "A bibliometric analysis of international impact of business incubators," Journal of Business Research, Elsevier, vol. 69(5), pages 1775-1779.
    3. Kevin Wachira & Patrick Ngugi & Romanus Odhiambo Otieno, 2017. "Incubatee Selection Criteria and its Role on Entrepreneurship Growth: A Survey of University Based Business Incubators in Kenya," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(1), pages 28-38, January.
    4. Alberto Albahari & Magnus Klofsten & Juan Carlos Rubio-Romero, 2019. "Science and Technology Parks: a study of value creation for park tenants," The Journal of Technology Transfer, Springer, vol. 44(4), pages 1256-1272, August.
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    1. Ana Asensio-Ciria & Carmen De-Pablos-Heredero & Francisco José Blanco Jiménez & Antón García Martínez, 2024. "Typology of Business Incubators in Spain According to the Stages of Startups Incubation," Administrative Sciences, MDPI, vol. 14(11), pages 1-24, November.

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