IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v72y2020ics0038012119303817.html
   My bibliography  Save this article

Innovation, agile project management and firm performance in a public sector-dominated economy: Empirical evidence from high-tech small and medium-sized enterprises in China

Author

Listed:
  • Ju, Xiangui
  • Ferreira, Fernando A.F.
  • Wang, Min

Abstract

While agile project management has become increasingly important for high-tech small and medium-sized enterprises (SMEs), firm performance varies greatly due to companies’ different degrees of innovation capability and internal and external environmental dynamics. Drawing on the resource-based view – as well as innovation capability and agile project management theories – a comparative analysis was conducted of two high-tech SMEs. The results were used to develop a theoretical model based on six hypotheses. Empirical research was carried out that included measurement of key variables, data collection and analysis, validity and reliability tests, regression analysis, and structural equation modeling, which confirmed five of the six initial hypotheses. The proposed model incorporates different innovation capability roles, considers project agility enhancement of firm performance, and takes into account interactions between companies’ innovation atmosphere and environmental dynamics in a public sector-dominated economy (i.e., China). The results contribute to project agility management’s theoretical development and refinement by presenting new findings on innovation and environmental dynamics. The results also provide guidelines for project agility practices in high-tech SMEs in China, with the potential to improve these firms’ performance. Implications and limitations are also discussed.

Suggested Citation

  • Ju, Xiangui & Ferreira, Fernando A.F. & Wang, Min, 2020. "Innovation, agile project management and firm performance in a public sector-dominated economy: Empirical evidence from high-tech small and medium-sized enterprises in China," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
  • Handle: RePEc:eee:soceps:v:72:y:2020:i:c:s0038012119303817
    DOI: 10.1016/j.seps.2019.100779
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012119303817
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.seps.2019.100779?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yusuf, Y. Y. & Sarhadi, M. & Gunasekaran, A., 1999. "Agile manufacturing:: The drivers, concepts and attributes," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 33-43, May.
    2. Zhang, Bin & Luo, Yuan & Chiu, Yung-Ho, 2019. "Efficiency evaluation of China's high-tech industry with a multi-activity network data envelopment analysis approach," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 2-9.
    3. Yi Jiang & Jing Zhao, 2015. "The creative process of business value of IT in dynamic environment: the mediating effect of firm agility," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 15(2/3), pages 200-214.
    4. Maria J. M. Ladeira & Fernando A. F. Ferreira & João J. M. Ferreira & Wenchang Fang & Pedro F. Falcão & Álvaro A. Rosa, 2019. "Exploring the determinants of digital entrepreneurship using fuzzy cognitive maps," International Entrepreneurship and Management Journal, Springer, vol. 15(4), pages 1077-1101, December.
    5. Zhang, Weiying & Cooper, W.W. & Deng, Honghui & Parker, Barnett R. & Ruefli, Timothy W., 2010. "Entrepreneurial talent and economic development in China," Socio-Economic Planning Sciences, Elsevier, vol. 44(4), pages 178-192, December.
    6. Zhuo-wan Liu & Tomas Balezentis & Yao-yao Song & Guo-liang Yang, 2019. "Estimating Capacity Utilization of Chinese State Farms," Sustainability, MDPI, vol. 11(18), pages 1-29, September.
    7. Yang, Guo-liang & Fukuyama, Hirofumi & Song, Yao-yao, 2019. "Estimating capacity utilization of Chinese manufacturing industries," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 94-110.
    8. Luuk Klomp & George Van Leeuwen, 2001. "Linking Innovation and Firm Performance: A New Approach," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 8(3), pages 343-364.
    9. Swafford, Patricia M. & Ghosh, Soumen & Murthy, Nagesh, 2008. "Achieving supply chain agility through IT integration and flexibility," International Journal of Production Economics, Elsevier, vol. 116(2), pages 288-297, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Murcia, Nathanaëlle N.S. & Ferreira, Fernando A.F. & Ferreira, João J.M., 2022. "Enhancing strategic management using a “quantified VRIO”: Adding value with the MCDA approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    2. Taimour Khalid Claudhary & Stefan Trzcielinski, 2021. "Agile Enterprise and Opportunity Recognition in SMEs: A Concise Bibliometric Analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 5), pages 48-63.
    3. Liu, Yuya & Mai, Sheng, 2024. "The evaluation of innovation ability of China's information technology application innovation enterprises based on cloud modeling," Finance Research Letters, Elsevier, vol. 60(C).

    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. Chen, Zhenling & Zhang, Xiaoling & Ni, Guohua, 2020. "Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions," Energy Policy, Elsevier, vol. 139(C).
    2. Santanu Mandal & Souvik Roy & G. Amar Raju, 2016. "Tourism supply chain agility: an empirical examination using resource-based view," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 2(2), pages 151-173.
    3. Ciampi, Francesco & Faraoni, Monica & Ballerini, Jacopo & Meli, Francesco, 2022. "The co-evolutionary relationship between digitalization and organizational agility: Ongoing debates, theoretical developments and future research perspectives," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    4. Brusset, Xavier, 2016. "Does supply chain visibility enhance agility?," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 46-59.
    5. Yusuf, Yahaya Y. & Gunasekaran, Angappa & Musa, Ahmed & Dauda, Mohammed & El-Berishy, Nagham M. & Cang, Shuang, 2014. "A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 531-543.
    6. Pinho, Celso R.A. & Pinho, Maria Luiza C.A. & Deligonul, Seyda Z. & Tamer Cavusgil, S., 2022. "The agility construct in the literature: Conceptualization and bibliometric assessment," Journal of Business Research, Elsevier, vol. 153(C), pages 517-532.
    7. Wang, Miao & Feng, Chao, 2023. "Measuring capacity utilization under the constraints of energy consumption and CO2 emissions using meta-frontier DEA: A case of China's non-ferrous metal industries," Resources Policy, Elsevier, vol. 80(C).
    8. Song, Yao-yao & Li, Jing-jing & Wang, Jin-li & Yang, Guo-liang & Chen, Zhenling, 2022. "Eco-efficiency of Chinese transportation industry: A DEA approach with non-discretionary input," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    9. Ya Wang & Jiaofeng Pan & Ruimin Pei & Guoliang Yang & Bowen Yi, 2020. "A Framework for Assessing Green Capacity Utilization Considering CO 2 Emissions in China’s High-Tech Manufacturing Industry," Sustainability, MDPI, vol. 12(11), pages 1-25, May.
    10. David Eshun Yawson & Fred A. Yamoah, 2022. "Review of Strategic Agility: A Holistic Framework for Fresh Produce Supply Chain Disruptions," Sustainability, MDPI, vol. 14(22), pages 1-15, November.
    11. Gosling, J. & Purvis, L. & Naim, M.M., 2010. "Supply chain flexibility as a determinant of supplier selection," International Journal of Production Economics, Elsevier, vol. 128(1), pages 11-21, November.
    12. Xiaoqing Chen & Kristiaan Kerstens, 2022. "Evaluating horizontal mergers in Swedish district courts using plant capacity concepts: with a focus on nonconvexity," Post-Print halshs-03924994, HAL.
    13. Qinliang Tan & Jin Zheng & Yihong Ding & Yimei Zhang, 2020. "Provincial Carbon Emission Quota Allocation Study in China from the Perspective of Abatement Cost and Regional Cooperation," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    14. Sanjai Kumar Shukla & Sushil & Manoj Kumar Sharma, 2019. "Managerial Paradox Toward Flexibility: Emergent Views Using Thematic Analysis of Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(4), pages 349-370, December.
    15. Natalya V. Kireeva & Evgenia S. Zambrzhitskaya & Elena A. Makarova, 2021. "Graph models for evaluating production capacities of enterprises," Journal of New Economy, Ural State University of Economics, vol. 22(2), pages 134-154, July.
    16. Purvis, Laura & Gosling, Jonathan & Naim, Mohamed M., 2014. "The development of a lean, agile and leagile supply network taxonomy based on differing types of flexibility," International Journal of Production Economics, Elsevier, vol. 151(C), pages 100-111.
    17. Balezentis, Tomas & Zickiene, Agne & Volkov, Artiom & Streimikiene, Dalia & Morkunas, Mangirdas & Dabkiene, Vida & Ribasauskiene, Erika, 2023. "Measures for the viable agri-food supply chains: A multi-criteria approach," Journal of Business Research, Elsevier, vol. 155(PA).
    18. DeGroote, Sharon E. & Marx, Thomas G., 2013. "The impact of IT on supply chain agility and firm performance: An empirical investigation," International Journal of Information Management, Elsevier, vol. 33(6), pages 909-916.
    19. Sheng, Margaret L. & Saide, Saide, 2021. "Supply chain survivability in crisis times through a viable system perspective: Big data, knowledge ambidexterity, and the mediating role of virtual enterprise," Journal of Business Research, Elsevier, vol. 137(C), pages 567-578.
    20. Sashikala Parimi & Anusha Sreeram, 2018. "Agility in the Factors Effecting the Quality and Safety of Fish Products," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 9(2), pages 01-08, May.

    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:eee:soceps:v:72:y:2020:i:c:s0038012119303817. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    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.