News
Statistics
| Number of Journals | 34 |
| Number of Issues | 1,306 |
| Number of Articles | 9,427 |
| Article View | 9,188,648 |
| PDF Download | 5,620,936 |
Presenting a conceptual model of knowledge sharing and networking of knowledge-based companies in the lithium battery value chain | ||
| مدیریت راهبردی دانش سازمانی | ||
| Article 5, Volume 7, Issue 3 - Serial Number 26, September 2024, Pages 87-109 PDF (3.29 M) | ||
| Document Type: Original Research Paper | ||
| DOI: 10.47176/smok.2024.1769 | ||
| Authors | ||
| Manoucher Maneghi1; Maryam Ahmadi* 2; Ali Reza Boushehri3 | ||
| 1Professor, System Management and Methods Department, Faculty of Management and Industries, Malik Ashtar University of Technology, Tehran, Iran | ||
| 2Master of Technology Management, Systems and Methods Management Department, Faculty of Management and Industries, Malek Ashtar Industrial University, Tehran, Iran | ||
| 3Assistant Professor, Systems and Methods Management Department, Faculty of Industrial Engineering, Malik Ashtar University, Tehran, Iran | ||
| Receive Date: 01 July 2024, Revise Date: 30 July 2024, Accept Date: 20 September 2024 | ||
| Abstract | ||
| Purpose: With the entry into the information and communication technology age, there have been significant changes in the field of business and companies worldwide. One of these achievements of the new era is the establishment of strategic communications and partnerships with other companies. Therefore, the purpose of this study is to answer the main research question, namely, "What factors affect the networking of knowledge-based companies in the lithium battery value chain?" and to examine the impact of the factors identified in Iran on the networking of knowledge-based companies in the lithium battery value chain by presenting a conceptual model. Methodology: This research is applied in terms of purpose, description, and survey. A mixed method (qualitative-quantitative) was used to collect and analyse information. An attempt was made to combine quantitative and qualitative data to achieve a deep understanding of the subject, thereby increasing the generalizability and accuracy of the results. The content analysis method was used in the qualitative part of the research, and in the quantitative part, the structural equation modelling method and SmartPLS version 4 software were used. The statistical population in the qualitative part of the research included 11 experts and specialists in this field and university professors who were selected purposefully; the selection criteria were the experts' familiarity and knowledge of the subject under study and the history of experts' activities in the field of lithium batteries, which was considered valid for the qualitative part. Regarding the sample size, the interview continued until the theoretical saturation stage, and thus, after the eleventh interview, the data reached saturation. The interviews were conducted in person and semi-structured by one person. In the quantitative part of the research, the sample size was (72) people. The primary research tool was a researcher-made questionnaire with a five-point Likert scale distributed among experts in knowledge-based companies in the lithium battery value chain in Tehran, Alborz, and Qom provinces, as well as university professors. The questionnaire was designed based on the literature on the subject, interviews were conducted, and factors influencing the networking of knowledge-based companies in the lithium battery value chain were identified. In the first step (qualitative), we identified the factors affecting the networking of knowledge-based companies in the lithium battery value chain. In the second step (quantitative), the direct and indirect effects of the identified factors were examined. Findings: The findings in this study showed that the variables identified in the first step (qualitative) are network structure, environmental factors (social, cultural, governance), knowledge sharing, and trust building between partner knowledge-based companies. Network structure and environmental factors are independent variables, and trust building between partner knowledge-based companies and knowledge sharing are mediator variables. After drawing the conceptual model of the research, the fit and relationships between the variables were tested using structural equation modelling with the partial least squares approach and SmartPLS version 4 software. The fit of the proposed research model was confirmed in three sections: measurement, structural, and general. In the measurement models section, two criteria, the reliability coefficient and Cronbach's alpha coefficient, were used to determine the reliability of the questionnaire. Values above 0.7 indicate acceptable reliability, and all obtained values were confirmed. Also, the results related to convergent validity confirmed convergent validity according to AVE values greater than 0.5, and divergent validity (correlation matrix, Fornell and Larker test) was confirmed. In examining the structural model, in which the relationships between variables were considered, the coefficient of determination and the power coefficient were investigated, and both coefficients were confirmed. In fitting the overall part, two measurement models and the structural model were considered, and the fitting of the overall part was controlled; according to the value obtained of 0.646 from the GOF formula, it showed a strong overall fit for the research model. Accordingly, network structure with the value of T statistic (0.706) and trust building between cooperative knowledge-based companies with the value of T statistic (0.294) do not directly affect the networking of knowledge-based companies in the lithium battery value chain due to the value of T statistic being less than 1.96. Network structure has a positive and significant effect on trust building between cooperative knowledge-based companies with the value of T statistic (25.880). Network structure positively and significantly affects knowledge sharing with the value of T statistic (2.828). Trust building between cooperative knowledge-based companies also positively and significantly impacts knowledge sharing with the value of T statistic (8.824). Also, knowledge sharing with T-statistic (2.093) and environmental factors (social, cultural, governance) with T-statistic (2.645) also have a positive and significant effect on the networking of knowledge-based companies in the lithium battery value chain. Given that Iran is a developing country and the speed of network formation in Iran (despite different cultures, unstable social factors, and complex governance factors) is slow in the bureaucracy supporting the lithium battery value chain, the formation of a network in this heterogeneous space requires systematic government support and legislative legislation and the role of compelling actors in this field. Environmental conditions usually occur related to industrialisation. When the lithium battery value chain in Iran is in the prototype and technology development stage, ecological factors are influential, but with a low factor load; this effect manifests itself significantly when the lithium battery value chain enters the industrialisation phase, and at that time it is necessary to form an ecosystem, and that ecosystem of external circles, which is laws, resources, policymaking, etc., shows itself strongly. Research limitations: Every research activity faces problems and constraints, including the limitations of this research as follows: Since the variables of this research, especially trust, are individual characteristics, it isn't easy to trust the responses of individuals and their honesty. Research of this kind is based on collecting a lot of accurate information, which, due to the newness of the technology and the lack of trust and cooperation of some companies, presents the statistical population with limitations. This research is limited to knowledge-based companies active in lithium batteries and cannot be generalised to all knowledge-based companies in other fields. Originality/value: In the era of information and communication technology, major changes have occurred in the world of businesses. One of these achievements is the creation of strategic communications and partnerships with other companies through networking, and this networking capability can help companies create and improve the structure of their business networks. | ||
| Keywords | ||
| Lithium battery; structural equation method; value chain; networking; knowledge-based companies | ||
| References | ||
|
Amir Adnan Hassoun Al-Khafaji, Omid Behbodhi, Mohsen Moradi. (2023). Investigating the effect of organizational knowledge sharing on innovation performance with the mediating role of innovation capability and moderating scale of networking and communication strength (a case study of Iraqi small and medium-sized companies). Scientific Journal of Organizational Knowledge Management, 6th year, Spring 1402, pp.: 11-47. https://dor.isc.ac/dor/20.1001.1.26454262.1402.6.1.1.2 (In Persian) Atieh Safardoost, Seyed Soroush Ghazi Nouri, Manouchehr Lagizi, Mohammad Naghizadeh, Jahanyar Bamdad Sofi. (2022). Identification of network capabilities of large and small companies in the process of formation and development of innovation networks, Strategic Management Studies No. 25 - Winter 1401 pp. 139- 511. https://doi.org/10.22034/smsj.2022.163801 (In Persian) Atieh Safardoost, Seyed Soroush Ghazi Nouri, Manouchehr Lagizi, Mohammad Naghizadeh, Jahanyar Bamdad Sofi. (2021). Investigating the role of network heterogeneity on network capabilities and knowledge performance of companies in biopharmaceutical networks of the country, Scientific Journal of Organizational Knowledge Management, 4(15), 1-37. (In Persian) Buchel, B., & Raub, S. (2002). Building Knowledge-creating Value Networks. European Management Journal, 20(6), 587-596. Chunling Li, Jiajia Hao, Runsen Yuan, Masood Ahmed, Muhammad Asif Khan, and Judit Oláh. (2020). The Influence of the Knowledge-Based Network Structure Hole on Enterprise Innovation Performance: The Threshold Effect of R&D Investment Intensity, Sustainability 2020, 12, 6155. https://doi.org/10.3390/su12156155 Estiri, M.; Mehraeen, M. (2022). Identifying and modeling the key success factors for knowledge-based firms. Transformation Management Journal, 12(4): 1-28. (in Persian with English abstract). https://doi.org/10.22067/tmj.2022.69632.1077 Farzaneh Reihani, Rizvan Hosseinqalizadeh, Alireza Dohovian. (2021). investigation of the status of knowledge sharing and its relationship with the innovative work behavior of employees (research sample: a manufacturing company) , scientific journal of organizational knowledge management, winter 1400, year 4, number 15, pp: 67- 110. https: //dor.isc.ac/dor/20.1001.1.26454262.1400.4.4.3.6 (In Persian) Ferdinand Ferstl, Sharova, Varvara Paul Wolff, Benedikt Konersmann, Robert Stanek and Markus Hackmann. (2020): Evaluation of Lithium-Ion Battery Cell Value Chain, Working Paper Forschungsförderung, No. 168, Hans-Böckler-Stiftung, Düsseldorf. Gavin Bridge, Erika Faigen, (2022). Towards the lithium-ion battery production network: Thinking beyond mineral supply chains, Energy Research & Social Science 89 (2022) 102659. https: //doi.org/10.1016/j.erss.2022.102659. Hamed Falah Tefti, Ali Safari Darbarzi, Farhad Zare. (2023). Analysis of knowledge accumulation in academic companies with an integrated approach of structural-interpretive modeling and structural equations (case study: Yazd Science and Technology Park), Scientific Journal of Organizational Knowledge Management , sixth year, autumn 1402, Pages: 49-80. https://doi.org/10.47176/smok.2023.1623 (In Persian) Hamidizadeh, M.R. (2015), National Knowledge Development based on Domestic Patterns,Journal of Strategic Management Studies, Vol. 6 Issue 21, pp. 211-249. Hilmi bahadir temur, ahmet serdar yilmaz, mehmet tekerek,2019, knowledge network and a knowledge network example, international symposium on advanced engineering technologies,1350-1355. https: //doi.org/10.48550/arXiv.1911.09899 Jafari, H. Mohammadian, M. & Hossein Pour, D. (2013). Organizational health and its relation to organizational commitment in personnel of selected teaching hospitals affiliated with Ahvaz - Jundishapur University of Medical Sciences. Journal of Scientific Health Jundishapur; 4(6), 41-48. (In Persian) Josef Daňa1 & Francesco Caputo & Jaroslav Ráček, (2018). Complex Network Analysis for Knowledge Management and Organizational Intelligence. Springer Science+Business Media, LLC, part of Springer Nature 2018, https: //doi.org/10.1007/s13132-018-0553-x Kaplan, R.S. and Norton, D.P. (1996), the Balanced Scorecard: Translating Strategy into Action, Harvard Business School Press, Boston, MA. Khadija hamdani and salah koubaa. (2019). Knowledge-based entrepreneurship: the role of networks. Advances in business management: a contemporary perspective.448-467. Lupeng Zhang and Wenbo Chen. (2021). How Do Innovation Network Structures Affect Knowledge Sharing? A Simulation Analysis of Complex Networks. Hindawi,Complexity, Volume 2021, Article ID 5107630, 17 pages. https: //doi.org/10.1155/2021/5107630 Maghsoudi Ganjeh, Y., Khani, N., & Alem Tabriz, A. (2020). The relationship between networking capability and commercialisation performance by considering the role of dimensions of network structure, Int. J. Business Innovation and Research, 22(1), 47–68. Masoumeh Arabshahi et al. (2022). the effect of the knowledge value of top managers on knowledge sharing methods, open innovation and organizational performance, Scientific Journal of Organizational Knowledge Management, fifth year, serial number 16, spring 1401. https: //doi.org/10.1504/IJBIR.2020.107087 (In Persian) McGrath, H., Medlin, C. J., & O’Toole, T. (2018). A process-based model of network capability development by a start-up firm. Industrial Marketing Management,80,214-227. https: //doi.org/10.1016/j.indmarman.2017.11.011 Mohammad Ebrahim Sanjaghi, Ali Farhi, Fatemeh sadat Amir Ahmadi, Seyed Ahmed Deliri. (2018). Investigating the effect of strategic leadership on innovation with an emphasis on network communication approach, Human Resource Management Research Quarterly of Imam Hossein University (peace be upon him), ninth year, number 4 (serial number 03), winter 603, 1396-532. Organizational Knowledge Management, Winter 1396, Year 4, Number 15, pp: 1-37. https: //dor.isc.ac/dor/20.1001.1.20084528.1396.9.4.8.0 (In Persian) Mohammad Reza Hasani Ahangar, Ruhollah Tavalaei and Mohammad Hossein Shadman Far (1402), Presenting the model of a wise core - a capable network for the role-playing of universities in the knowledge management of modern Islamic civilization issues based on imam khamenei's thought, Scientific Journal of Organizational Knowledge Management, Volume 6, serial number 23, winter 1402, page 48-21. (In Persian) Moradi, Mahmoud; Abdullahiyan, Farzaneh; Safardoost, Atieh. (2012). investigating the role of knowledge absorption capacity on the relationship between learning from organizational mistakes and organizational innovation. Scientific-Research Quarterly of Improvement and Transformation Management Studies 202-242. 1391. https: //doi.org/10.47176/smok.2023.1659 )In Persian( Mu, J. (2014). Networking capability, network structure, and new product development performance. Ieee Transactions on Engineering Management, 61(4), 599–609. https: //doi.org/10.1109/TEM.2014.2359160 Najafi-Tavani, S., Najafi-Tavani, Z., Naudé, P., Oghazi, P. & Zeynaloo, E. (2018). How collaborative innovation networks affect new product performance: Product jnnovation capability, process Innovation capability, and absorptive capacity. Industrial Marketing Management,73, 193-205. https: //doi.org/10.1016/j.indmarman.2018.02.009 Nilfroshan, Hadi, Arasti, Mohammad Reza. (2014). The Weak Failure Process of Engineered Innovation Networks in the Initiation Phase: The Case Study of Gas Industry in Iran. science and technology policy; 6 (2), pp. 77-93, 2014. )In Persian( Nilfroshan, Hadi, Arasti, Mohammad Reza. (2015). Process of Innovation Networks Failure: The Knowledge Base Approach, 6th year, number 4, autumn and winter 2015. (In Persian) Öberg, C. (2018). The role of business networks for innovation. Journal of Innovation & Knowledge. 4(2), 124-128. https://doi.org/10.1016/j.jik.2017.10.001 Per Levéna, Jonny Holmströma, Lars Mathiassenb. (2014). Managing research and innovation networks: Evidence from a government sponsored cross-industry program. Research Policy 43 (2014) 156–168. https: //doi.org/10.1016/j.respol.2013.08.004 Pia Hurmelinna-Laukkanen , Satu Natti , Minna Pikkarainen . (2021). Orchestrating for lead user involvement in innovation networks. Technovation 108 (2021) 102326. https://doi.org/10.1016/j.technovation.2021.102326 Porter, C. M., Woo, S. E., & Campion, M. A. (2016). Internal and external networking differentially predict turnover through job embeddedness and job offers. Personnel Psychology, 69(3), 635-672. https://doi.org/10.1111/peps.12121 Qureshi, S. S., & Saleem, F. (2016). Impact of networking on career progression: Moderating role of gender. Pakistan Journal of Commerce and Social Sciences (PJCSS),10(3), 419-443. https: //hdl.handle.net/10419/188261 Rezaian, Ali Reza, Nazafati, Navid, Bagheri, Ruhollah. (2018). Formation of knowledge network in knowledge-based companies, Scientific-Research Publication of Business Management Explorations, Year 10, Number 20, Fall and Winter 2018. https: //dorl.net/dor/20.1001.1.2645386.1397.10.20.10.1 (In Persian) Ricardo Vinícius Dias Jordão, Jorge Casas Novas. (2022). Information and Knowledge Management, Intellectual Capital, and Sustainable Growth in Networked Small and Medium Enterprises. Journal of the Knowledge Economy. https://doi.org/10.1007/s13132-022-01043-5 Salavatiyan, siyavash, Sabouhi ,Meisam (2017). Value chain in media organizations: a case study of the film industry and television networks, Media Management Magazine, No. 33, August 2017. (In Persian) Vipin Gupta, Ricardo Vinícius Dias Jordão,- Jorge Novas-, (2020), The role of knowledge-based networks in the intellectual capital and organizational performance of small and medium-sized enterprises Kybernetes, 49(1),116–140. https: //doi.org/10.1108/K-04-0301-2019-04 Wenyuan Li ,Pomegbe, W. W. K., Dogbe, C. S. K., & Otoo, C. O. A. (2020). Enhancing the Innovation Performance of Small and Medium-Sized Enterprises Through Network Embeddedness. Journal of Competitiveness, 12(3), 156–171. https: //doi.org/10.7441/joc.2020.03.09 Yang Boxua, Li Xingguangb, Kou Kouc, (2022). Research on the influence of network embeddedness on innovation performance: Evidence from China’s listed firms. Journal of Innovation & Knowledge 7 (2022) 100210. https: //doi.org/10.1016/j.jik.2022.100210 Yaser Maghsoodi Ganjeh, Naser Khani, Akbar Alam Tabriz. (2019). networking capabilities, business network structure and commercialization performance in knowledge-based companies (case study: knowledge-based companies of Isfahan province), Technology Development Management Quarterly, 7th period, Number 4, Winter 1398, 1398-180. (In Persian) Yasser Maghsoudi-Ganjeh, Naser Khani & Akbar Alem-Tabriz (2021). Networking Capability and Commercialization Performance: The Role of Network Structure, Journal of Business-to-Business Marketing, 28: 1, 51-68. https://doi.org/10.1080/1051712X.2021.1893033 | ||
|
Statistics Article View: 349 PDF Download: 164 |
||