IDEAS home Printed from https://ideas.repec.org/a/isv/jouijm/v9y2020i1p43-57.html
   My bibliography  Save this article

Influence of Leadership on Innovation Efficiency in Manufacturing Firms in Kenya

Author

Listed:
  • Isaac Muiruri Gachanja

    (Karatina University, Kenya)

  • Stephen Irura Nganga

    (Karatina University, Kenya)

  • Lucy Maina Kiganane

    (The Cooperative University of Kenya)

Abstract

The purpose of this paper is to determine the influence of leadership on Innovation Efficiency (IE) in manufacturing firms in Kenya. A mixed research methodology was and cross-sectional design was applied. The target population was 2484 leaders and multi-stage sampling was used to sample 345 respondents. Primary data was collected. The results revealed that leadership has a significant influence on IE. It is concluded that management should practice and encourage creativity, exploration, inspiration, exploitation and entrepreneurial mindset to promote IE. Further research should be conducted to find out how leadership should balance the trade-off between risk management and IE.

Suggested Citation

  • Isaac Muiruri Gachanja & Stephen Irura Nganga & Lucy Maina Kiganane, 2020. "Influence of Leadership on Innovation Efficiency in Manufacturing Firms in Kenya," International Journal of Management, Knowledge and Learning, International School for Social and Business Studies, Celje, Slovenia, vol. 9(1), pages 43-57.
    • Handle: RePEc:isv:jouijm:v:9:y:2020:i:1:p:43-57
    as

    Download full text from publisher

    File URL: http://www.issbs.si/press/ISSN/2232-5697/9_43-57.pdf
    File Function: full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Qunwei & Hang, Ye & Sun, Licheng & Zhao, Zengyao, 2016. "Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 254-261.
    2. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    3. Ignacio G. Vaccaro & Justin J. P. Jansen & Frans A. J. Van Den Bosch & Henk W. Volberda, 2012. "Management Innovation and Leadership: The Moderating Role of Organizational Size," Journal of Management Studies, Wiley Blackwell, vol. 49(1), pages 28-51, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stam, D.A., 2019. "Leading for Innovation," ERIM Inaugural Address Series Research in Management 117229, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam..
    2. Takuma Kimura & Mizuki Nishikawa, 2018. "Ethical Leadership and Its Cultural and Institutional Context: An Empirical Study in Japan," Journal of Business Ethics, Springer, vol. 151(3), pages 707-724, September.
    3. Qin, Quande & Li, Xin & Li, Li & Zhen, Wei & Wei, Yi-Ming, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas," Applied Energy, Elsevier, vol. 185(P1), pages 604-614.
    4. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    5. Yunyao Li & Yanji Ma, 2022. "Research on Industrial Innovation Efficiency and the Influencing Factors of the Old Industrial Base Based on the Lock-In Effect, a Case Study of Jilin Province, China," Sustainability, MDPI, vol. 14(19), pages 1-23, October.
    6. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    7. Adom, Philip Kofi & Adams, Samuel, 2020. "Decomposition of technical efficiency in agricultural production in Africa into transient and persistent technical efficiency under heterogeneous technologies," World Development, Elsevier, vol. 129(C).
    8. Yang, Ranran & Long, Ruyin & Yue, Ting & Shi, Haihong, 2014. "Calculation of embodied energy in Sino-USA trade: 1997–2011," Energy Policy, Elsevier, vol. 72(C), pages 110-119.
    9. Feng, Xuesong & Tao, Zhibin & Shi, Ruolin, 2024. "The Spatiotemporal exploration of intercity transport energy efficiency in the mainland of China on the basis of improved stochastic frontier modelling," Renewable Energy, Elsevier, vol. 224(C).
    10. Ning Zhang & Fanbin Kong & Chih-Chun Kung, 2015. "On Modeling Environmental Production Characteristics: A Slacks-Based Measure for China’s Poyang Lake Ecological Economics Zone," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 389-404, October.
    11. Tao Ding & Ya Chen & Huaqing Wu & Yuqi Wei, 2018. "Centralized fixed cost and resource allocation considering technology heterogeneity: a DEA approach," Annals of Operations Research, Springer, vol. 268(1), pages 497-511, September.
    12. Yu, Chuanpeng & Wang, Yue & Li, Tianchen & Lin, Chunpei, 2022. "Do top management teams’ expectations and support drive management innovation in small and medium-sized enterprises?," Journal of Business Research, Elsevier, vol. 142(C), pages 88-99.
    13. Zhong, Meirui & Huang, Gangli & He, Ruifang, 2022. "The technological innovation efficiency of China's lithium-ion battery listed enterprises: Evidence from a three-stage DEA model and micro-data," Energy, Elsevier, vol. 246(C).
    14. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    15. Hongli Liu & Xiaoyu Yan & Jinhua Cheng & Jun Zhang & Yan Bu, 2021. "Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry," Energies, MDPI, vol. 14(14), pages 1-21, July.
    16. Yingying Shao & Gongbing Bi & Feng Yang & Qiong Xia, 2018. "Resource allocation for branch network system with considering heterogeneity based on DEA method," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 1005-1025, December.
    17. Youngbok Ryu & Toshiyuki Sueyoshi, 2021. "Examining the Relationship between the Economic Performance of Technology-Based Small Suppliers and Socially Sustainable Procurement," Sustainability, MDPI, vol. 13(13), pages 1-23, June.
    18. Xiongfeng Pan & Jing Zhang & Changyu Li & Xianyou Pan & Jinbo Song, 2019. "Analysis of China’s regional wind power generation efficiency and its influencing factors," Energy & Environment, , vol. 30(2), pages 254-271, March.
    19. Jianglong Li & Zhi Li, 2018. "Understanding the role of economic transition in enlarging energy price elasticity," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(2), pages 253-281, April.
    20. Marouane Khallouk & Marc Robert & Sophie Mignon & Philippe Giuliani, 2016. "Management innovation in nonprofit organizations: an explorative study of the antecedents," Post-Print hal-02123059, HAL.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:isv:jouijm:v:9:y:2020:i:1:p:43-57. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Alen Ježovnik (email available below). General contact details of provider: http://www.issbs.si .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.