Unravelling open innovation determinants and firm performance relationships in CEE and SEE countries

被引:0
|
作者
Abazi-Alili, Hyrije [1 ]
Hashi, Iraj [2 ,3 ]
Rexhepi, Gadaf [4 ]
Ramadani, Veland [5 ]
Kallmuenzer, Andreas [6 ]
机构
[1] South East European Univ, Tetovo, North Macedonia
[2] Staffordshire Univ, Econ, Stoke On Trent, Staffs, England
[3] Staffordshire Univ, Ctr Res Emerging Econ CREE, Stoke On Trent, Staffs, England
[4] South East European Univ, Strategy & Innovat, Tetovo, North Macedonia
[5] South East European Univ, Entrepreneurship & Family Business, Tetovo, North Macedonia
[6] Excelia Business Sch, Entrepreneurship & Management, La Rochelle, France
关键词
Innovation; Open innovation; Firm performance; Skilled workers; SEM; BEEPS; DEVELOPMENT INTENSITY; CLOSED INNOVATION; MEDIATING ROLE; IMPACT; COMPETITION; INDUSTRY; MODEL; COOPERATION; ENTERPRISES; REGRESSION;
D O I
10.1108/IJEBR-10-2023-1112
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose Open innovation (OI), by now one of the major concepts for the analysis of innovation, is seen as a methodology for collaboratively designing and implementing solutions by engaging stakeholders in an iterative and inclusive service design process. This paper aims to empirically investigate OI capacities, defined as a cooperative, knowledge-sharing innovation ecosystem, and to explore how it can lead to improved performance of firms in Central and Eastern European (CEE) and Southeastern European (SEE) countries.Design/methodology/approach The study builds on the World Bank/European Bank for Reconstruction and Development (EBRD's) Business Environment Enterprise Performance Survey (BEEPS) dataset for 2009, 2013 and 2019. Primarily, the research model was estimated using log-transformed ordinary least squares (OLS). Taking into consideration that this method might produce substantial bias, yielding misleading inferences, this study is fitting Poisson pseudo maximum likelihood estimators with robust standard errors and instrumental variable/generalized method of moments estimation (IV/GMM) approach for comparative results. Secondarily, the research model was tested using structural equation modelling (SEM) to investigate the relationship between five OI capacities and firm performance.Findings The findings indicate that there is a significant positive relationship between most OI capacities and firm performance, except for innovation, which did not show a statistically significant relationship with firm performance. Specifically, research and development (R&D), knowledge and coopetition are statistically significant and positively associated with firm performance, whereas transformation is statistically significant but negatively associated with firm performance. The IV/GMM estimations' findings support the view that the firm performance is significantly affected by OI capacities, together with some control variables such as size, age, foreign ownership and year dummy to have a significant impact on firm performance.Originality/value This paper fills an identified gap in the literature by investigating the impact of OI on firm performance executed in the specific CEE and SEE country context.
引用
收藏
页码:1224 / 1248
页数:25
相关论文
共 50 条
  • [1] External Knowledge and Technology Acquisition and Firm Innovation Performance in CEE Countries
    Sein, Yee Yee
    Vavra, Michael
    [J]. PROCEEDINGS OF THE 21ST EUROPEAN CONFERENCE ON KNOWLEDGE MANAGEMENT (ECKM 2020), 2020, : 712 - 718
  • [2] Fiscal Burden as a Determinant of Innovation Performance in the CEE Countries
    Felis, Pawel
    Bernardelli, Michal
    Jamrozy, Marcin
    Lipiec, Jacek
    Malinowska-Misiag, Elzbieta
    Szlezak-Matusewicz, Joanna
    Otczyk, Grzegorz
    [J]. EAST EUROPEAN POLITICS AND SOCIETIES, 2023, 37 (03) : 1084 - 1109
  • [3] Bribery environments and firm performance: Evidence from CEE countries
    Hanousek, Jan
    Kochanova, Anna
    [J]. EUROPEAN JOURNAL OF POLITICAL ECONOMY, 2016, 43 : 14 - 28
  • [4] Empowered by Innovation: Unravelling Determinants of Idea Implementation in Open Innovation Platforms
    Situmeang, Frederik
    Loke, Rob
    de Boer, Nelleke
    de Boer, Danielle
    [J]. PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, TECHNOLOGY AND APPLICATIONS (DATA), 2019, : 289 - 295
  • [5] DOES FIRM'S HIGHER INNOVATION POTENTIAL LEAD TO ITS SUPERIOR FINANCIAL PERFORMANCE? CASE OF CEE COUNTRIES
    Bistrova, Julia
    Lace, Natalja
    Tamosiuniene, Rima
    Kozlovskis, Konstatins
    [J]. TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2017, 23 (02) : 375 - 391
  • [6] Sources of Information for SMEs Innovation Performance in Selected CEE Countries
    Gyamfi, Solomon
    Stejskal, Jan
    [J]. PROCEEDINGS OF THE 21ST EUROPEAN CONFERENCE ON KNOWLEDGE MANAGEMENT (ECKM 2020), 2020, : 292 - 299
  • [7] The influence of open innovation on firm performance
    Bigliardi, Barbara
    Ferraro, Giovanna
    Filippelli, Serena
    Galati, Francesco
    [J]. INTERNATIONAL JOURNAL OF ENGINEERING BUSINESS MANAGEMENT, 2020, 12
  • [8] Inbound open innovation and firm performance
    Moretti, Federico
    Biancardi, Daniele
    [J]. JOURNAL OF INNOVATION & KNOWLEDGE, 2020, 5 (01): : 1 - 19
  • [9] What Determines Firm's Innovation? The Case of Catching-up CEE Countries
    Vavra, Michael
    Vohralik, Gregor
    Prokop, Viktor
    Stejskal, Jan
    [J]. QUALITY INNOVATION PROSPERITY-KVALITA INOVACIA PROSPERITA, 2021, 25 (01): : 33 - 54
  • [10] Model of Distributed Innovation Determinants on Firm Performance
    Luo Jianyuan
    Liu Guoxin
    [J]. PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON PRODUCT INNOVATION MANAGEMENT, VOLS I AND II, 2009, : 1978 - 1982