اخبار و اعلانات
آمار
| تعداد نشریات | 38 |
| تعداد شماره‌ها | 1,258 |
| تعداد مقالات | 9,115 |
| تعداد مشاهده مقاله | 8,325,676 |
| تعداد دریافت فایل اصل مقاله | 5,040,737 |
تأثیر ظرفیت جذب دانش بر عملکرد شرکت‌های دانش‌بنیان با تبیین نقش میانجی راهبرد نوآوری و فعالیت‌های نوآوری باز | ||
| مدیریت راهبردی دانش سازمانی | ||
| مقاله 1، دوره 7، شماره 4 - شماره پیاپی 27، دی 1403، صفحه 11-33 | ||
| نوع مقاله: مقاله پژوهشی با اصالت | ||
| شناسه دیجیتال (DOI): 10.47176/smok.2024.1822 | ||
| نویسندگان | ||
| سید رضا سید جوادین1؛ رسول نصرت‌پناه* 2؛ عارف اشرف زاده3 | ||
| 1استاد، گروه بازاریابی و توسعه بازار، دانشکده مدیریت و کسب‌وکار، دانشکدگان مدیریت، دانشگاه تهران، تهران، ایران | ||
| 2کارشناسی ارشد، گروه مدیریت بازرگانی، دانشکده مدیریت، دانشگاه خوارزمی، تهران، ایران | ||
| 3دانشجوی دکتری، گروه بازاریابی و توسعه بازار، دانشکده مدیریت و کسب‌وکار، دانشکدگان مدیریت، دانشگاه تهران، تهران، ایران | ||
| تاریخ دریافت: 0-1318 فروردین 786، تاریخ بازنگری: 0-1304 فروردین 786، تاریخ پذیرش: 0-1266 فروردین 786 | ||
| چکیده | ||
| زمینه/هدف: امروزه، شیوه ارزش‌آفرینی با تأثیرپذیری از پویایی رقابت دگرگون شده‌است. این لزوم توجه شرکت‌ها به دانش و نوآوری برون‌سازمانی برای خلق ارزش را شدت بخشیده است. لذا این مطالعه با درنظرگرفتن نقش میانجی راهبرد نوآوری و فعالیت‌های نوآوری باز به بررسی تأثیر ظرفیت جذب دانش بر عملکرد شرکت‌ها پرداخته‌است. روش پژوهش: این پژوهش دارای پارادایمی اثبات‌گرا و رویکردی قیاسی است که از نظر هدف کاربردی و از لحاظ ماهیت و روش گردآوری داده‌ها توصیفی-پیمایشی است. جامعه آماری شامل 5029 شرکت دانش‌بنیان در استان تهران بود. حجم نمونه با نرم‌افزار جی‌پاور 313 شرکت تعیین شد. داده‌ها با پرسش‌نامه استاندارد لی و همکاران (2022)، کاراسکو-کارواخال و همکاران (2023)، نقش‌بندی و جاسم‌الدین (2018) و میلووانویچ و همکاران (2016) و روش نمونه‌گیری تصادفی ساده طی یک پیمایش آنلاین گردآوری شد. برای سنجش روایی از روایی صوری و روایی‌سازه (روایی همگرا و واگرا) استفاده شد. پایایی نیز با آلفای کرونباخ و پایایی ترکیبی ارزیابی شد. پس از تأیید روایی و پایایی، مدل پژوهش با تکنیک مدلسازی معادلات ساختاری و نرم‌افزار SmartPLS 3 تحلیل گردید. یافته‌های پژوهش: یافته‌ها نشان داد ظرفیت جذب دانش به ترتیب با ضریب مسیر 409/0، 306/0، 329/0، 431/0 و آماره تی 833/9، 740/5، 692/6 و 116/11 بر راهبرد نوآوری، نوآوری باز خروجی و ورودی و عملکرد شرکت تأثیر معناداری دارد. همچنین، تأثیر معنادار راهبرد نوآوری به ترتیب با ضریب مسیر 367/0، 265/0، 438/0 و آماره تی 607/8، 813/3 و 168/11 بر نوآوری باز خروجی و ورودی و عملکرد شرکت تأیید شد. به‌علاوه، تأثیر نوآوری باز ورودی بر عملکرد شرکت با ضریب مسیر 248/0 و آماره تی 633/3 تأیید اما تأثیر نوآوری باز خروجی بر عملکرد شرکت با ضریب مسیر 068/0 و آماره تی 228/1 رد شد. در نهایت، نقش میانجی راهبرد نوآوری با ضریب مسیر 179/0 و آماره تی 437/2 تأیید اما نقش میانجی نوآوری باز ورودی و خروجی به ترتیب با ضریب مسیر 021/0، 081/0 و آماره تی 719/0 و 612/1 رد شد. نتیجه‌گیری: مدیران شرکت‌های دانش‌بنیان باید بدانند که بهبود عملکرد شرکت به ایجاد شرایطی بستگی دارد که فرایندهای مرتبط با نوآوری را بهبود می‌بخشد. لذا آن‌ها باید سرمایه‌گذاری در دانش و نوآوری برون‌سازمانی را توأمان با داخل سازمان در اولویت قرار دهند. اصالت/ارزش: این مطالعه اولین پژوهشی است که بر اهمیت ارتباط بین دانش جدید و تدوین و اجرای راهبرد نوآوری به منظور نوآوری باز موفق در شرکت‌های دانش‌بنیان مستقر در یک کشور در حال توسعه و نیز مکانیسم‌های میانجی که دانش بازار را به عملکرد بالا تبدیل می‌کند، متمرکز شده‌است. | ||
| کلیدواژه‌ها | ||
| راهبرد نوآوری؛ ظرفیت جذب دانش؛ عملکرد شرکت‌های دانش‌بنیان؛ فعالیت‌های نوآوری باز | ||
| عنوان مقاله [English] | ||
| The influence of knowledge absorptive capacity on the knowledge-based enterprises performance by explaining the mediating role of innovation strategy and open innovation activities | ||
| نویسندگان [English] | ||
| Seyed Reza Seyed Javadin1؛ Rasoul Nosratpanah2؛ Aref Ashrafzadeh3 | ||
| 1Professor, Department of Marketing and Market Development, Faculty of Management and Business, Faculties of Management, University of Tehran, Tehran, Iran | ||
| 2Master's degree, Department of Business Administration, Faculty of Management, Kharazmi University, Tehran, Iran | ||
| 3PhD Student, Department of Marketing and Market Development, Faculty of Management and Business, Faculties of Management, University of Tehran, Tehran, Iran | ||
| چکیده [English] | ||
| Purpose: Today, the methods of value creation have been transformed by the dynamics of competition. This has intensified the necessity for companies to focus on external knowledge and innovation to generate value. In this regard, the changing economic attitudes of developed countries towards value creation have led to the emergence and growth of knowledge-based enterprises (KBEs) and sustainable wealth generation in these nations. This phenomenon has also attracted the attention of most developing countries, including Iran. However, many studies conducted on Iranian KBEs have explored the literature and recounted the actions and experiences of other countries without considering the specific requirements and environmental conditions governing these companies. The increasing weakening of Iranian knowledge-based companies, due to the gap between their routines and environmental requirements, has prompted managers of these companies to seek the identification and acquisition of new organizational capabilities, as well as to enhance company performance through the adoption and implementation of effective decisions. In order to help these companies, this study examines the impact of knowledge absorptive capacity (KAC) on firm performance (FP), considering the mediating role of innovation strategy (IS) and open innovation (OP) activities. Methodology: This research has adopted the positivist paradigm. It is applied in purpose and descriptive in nature. Furthermore, it falls under the category of cross-sectional survey research regarding data collection methods. The study population consists of 5,029 KBEs located in Tehran Province. The sample size was determined to be 313 companies using G*Power software. Data were collected online through a standard questionnaire developed by Li et al. (2022), Carrasco-Carvajal et al. (2023), Naqshbandi & Jasimuddin (2018), and Milovanović et al. (2016), utilizing simple random sampling. To assess validity, both face validity and construct validity (convergent and discriminant validity) were employed. Reliability was evaluated using Cronbach's alpha and composite reliability. After confirming the validity and reliability, the research model was analyzed using structural equation modeling (SEM) techniques with SmartPLS 3 software. Findings: The findings indicated that KAC significantly influences IS, Outbound and Inbound OI, and FP, with path coefficients of 0.409, 0.306, 0.329, and 0.431, and t-statistics of 9.833, 5.740, 6.692, and 11.116, respectively. Furthermore, the significant impact of IS on Outbound and Inbound OI as well as FP was confirmed, with path coefficients of 0.367, 0.265, and 0.438, and t-statistics of 8.607, 3.813, and 11.168, respectively. Additionally, the effect of Inbound OI on FP was confirmed with a path coefficient of 0.248 and a t-statistic of 3.633; however, the effect of Outbound OI on FP was rejected with a path coefficient of 0.068 and a t-statistic of 1.228. Finally, the mediating role of IS was confirmed with a path coefficient of 0.179 and a t-statistic of 2.437, while the mediating roles of Outbound and Inbound OI were rejected with path coefficients of 0.021 and 0.081, and t-statistics of 0.719 and 1.612, respectively. Research limitations/implications: Despite the significant findings of this study, several limitations must be acknowledged. First, the reliance on self-reported data through a standard questionnaire may introduce response bias, as participants might provide socially desirable answers rather than their true perceptions. To mitigate this, future studies could incorporate qualitative methods, such as interviews or focus groups, to gain deeper insights into the relationship between KAC, SI, OI and FP. Additionally, while the study utilized established scales to measure constructs, the dynamic nature of innovation and market conditions suggests that these constructs may evolve over time. Longitudinal studies could provide a more nuanced understanding of how KAC, IS, and OI activities influence FP across different stages of a firm's lifecycle. Second, the research is confined to KBEs in Tehran Province, which may limit the generalizability of the results to other regions or sectors. Future research could expand the geographic scope. In this context, it is suggested that future researches retest the research model by collecting questionnaires from KBEs in other geographical areas or even the whole country. Finally, the rejection of the mediating roles of Outbound and Inbound OI on FP indicates that further exploration is needed to understand the complexities of these relationships to provide a more comprehensive view of the OI landscape in KBEs. In summary, while this study contributes valuable insights into the interplay between KAC, IS, OI and FP, it also highlights the need for further research to validate and expand upon these findings in broader contexts. Practical implications: The aim of this research was to enhance theoretical knowledge regarding the impact of KAC on the KBEs performance through the improvement of IS and the promotion of OI activities within these firms. This study has significant managerial and public policy consequences. From a managerial perspective, managers of KBEs should recognize that improving FP depends on creating conditions that enhance innovation-related processes. Therefore, they should prioritize investments in both external knowledge and innovation alongside internal organizational efforts. In this context, the findings indicate that firms with sufficient KAC can better assess their surrounding environment using new technologies, thereby attracting new external knowledge and integrating it into their innovation processes. This capability assists KBEs in developing OI practices by creating effective IS and accelerating the development of new businesses or products. From a public policy standpoint, this research offers crucial insights for policymakers. Open Innovation (OI) serves as an effective innovation strategy that enhances competitive advantages. OI activities can serve as a key entry platform for enhancing collaboration with universities and research institutions, positively increasing the effectiveness of innovation in KBEs and contributing to their overall performance improvement. In this regard, the results demonstrate that KAC is an important factor that positively influences IS as well as OI activities, thereby directly enhancing the KBEs performance. Given that these capabilities enhance innovation strategies and promote both inbound and outbound OI activities, it is imperative for public institutions to support initiatives aimed at cultivating absorptive capacity skills. Originality/value: This study is the first research that investigates the impact of KAC on the KBEs performance, while also considering the mediating roles of IS, and Outbound and Inbound OI activities. It is the first research to focus on the importance of the relationship between new knowledge and the formulation and implementation of innovation strategies for successful OI in KBEs located in a developing country, as well as the mediating mechanisms that transform market knowledge into high performance. | ||
| کلیدواژه‌ها [English] | ||
| Innovation Strategy, Knowledge Absorptive Capacity, Knowledge-based Enterprises Performance, Open Innovation Activities | ||
| مراجع | ||
|
Ahi, M., Ramazani, M., & Sadeghi, M. T. (2021). Analysis of the effect of knowledge absorptive capacity on organizational performance with the mediating role of open innovation (case study: Kausar Financial and Credit Institute of Qom province). In 6th International Conference on Innovation and Research in Educational Sciences, Management and Psychology, Tehran, Iran. https://civilica.com/doc/1442638 )In Persian( Ahmed, S. S., Guozhu, J., Mubarik, S., Khan, M., & Khan, E. (2020). Intellectual capital and business performance: the role of dimensions of absorptive capacity. Journal of Intellectual Capital, 21(1), 23-39. https://doi.org/10.1108/JIC-11-2018-0199 Ahn, J. M. (2020). The hierarchical relationships between CEO characteristics, innovation strategy and firm performance in open innovation. International Journal of Entrepreneurship and Innovation Management, 24(1), 31-52. https://doi.org/10.1504/IJEIM.2020.105275 Algarni, M. A., Ali, M., Leal-Rodríguez, A. L., & Albort-Morant, G. (2023). The differential effects of potential and realized absorptive capacity on imitation and innovation strategies, and its impact on sustained competitive advantage. Journal of Business Research, 158, 113674. https://doi.org/10.1016/j.jbusres.2023.113674 Anshari, M., & Almunawar, M. N. (2022). Adopting open innovation for SMEs and industrial revolution 4.0. Journal of Science and Technology Policy Management, 13(2), 405-427. https://doi.org/10.1108/JSTPM-03-2020-0061 Arabshahi, M., Kabiri, A., & Behboodi, O. (2022). The Impact of Top Managers’ Knowledge Value on Knowledge Sharing Practices on Open Innovation and Organizational Performance. Journal of Strategic Management of Organizational Knowledge, 5(1), 165-191. https://jkm.ihu.ac.ir/article_207333.html?lang=en (In Persian) Babaee farsani, M., hHsanimoghadam, S., & Farhadi, F. (2021). The interaction of Open Innovation with Absorptive Capacity, Leadership, and Organizational Learning Culture in Knowledge-Based Companies: Analyzing a moderated mediation model. Journal of Strategic Management of Organizational Knowledge, 4(1), 197-228. https://jkm.ihu.ac.ir/article_206161.html?lang=en (In Persian) Bahreini, Z., Rashidi, A., Jamshidi, M. J., & Hosseinpour, M. (2023). Modeling the development of knowledge absorptive capacity in startup accelerators with an interpretive structural approach. Journal of Strategic Management of Organizational Knowledge, 6(4), 113-150. https://jkm.ihu.ac.ir/article_208352.html?lang=en (In Persian) Barani, S., & Ashrafzadeh, A. (2023). The role of human resource management system and strategies on radical innovation of knowledge-based companies by explaining the mediating role of entrepreneurial orientation. Innovation Management in Defensive Organizations, 6(2), 29-48. doi: 10.22034/qjimdo.2023.387198.1568 (In Persian) Beigi, S., Malekakhlagh, E., Nosratpanah, R., & Safari, M. (2023). A Framework for Firm Performance Under the Influence of Knowledge Management and Dynamic Capabilities: Examining the Mediating Role of Sustainable Competitive Advantage. Interdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies), 16(1), 205-227. https://doi.org/10.22059/ijms.2022.327941.674674 Bertello, A., De Bernardi, P., & Ricciardi, F. (2024). Open innovation: status quo and quo vadis-an analysis of a research field. Review of Managerial Science, 18(2), 633-683. https://doi.org/10.1007/s11846-023-00655-8 Bigliardi, B., Ferraro, G., Filippelli, S., & Galati, F. (2020). The influence of open innovation on firm performance. International Journal of Engineering Business Management, 12(1), 184-201. https://doi.org/10.1177/1847979020969545 Carrasco-Carvajal, O., García-Pérez-de-Lema, D., & Castillo-Vergara, M. (2023). Impact of innovation strategy, absorptive capacity, and open innovation on SME performance: A Chilean case study. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 100065. https://doi.org/10.1016/j.joitmc.2023.100065 Chen, A., Lin, Y., Mariani, M., Shou, Y., & Zhang, Y. (2023). Entrepreneurial growth in digital business ecosystems: An integrated framework blending the knowledge-based view of the firm and business ecosystems. The Journal of Technology Transfer, 48(5), 1628-1653. https://doi.org/10.1007/s10961-023-10027-9 Chen, J., Wang, L., & Qu, G. (2021). Explicating the business model from a knowledge-based view: nature, structure, imitability and competitive advantage erosion. Journal of Knowledge Management, 25(1), 23-47. https://doi.org/10.1108/JKM-02-2020-0159 Chesbrough, H., Heaton, S., & Mei, L. (2021). Open innovation with Chinese characteristics: a dynamic capabilities perspective. R&D Management, 51(3), 247-259. https://doi.org/10.1111/radm.12438 Cuéllar, S. D., Fernandez-Bajón, M. T., & Moya-Anegón, F. D. (2024). Similarities and differences between absorptive capacity and appropriability: a bibliometric perspective. Benchmarking: An International Journal, 31(1), 98-120. https://doi.org/10.1108/BIJ-12-2021-0773 Daneshjoovash, S.K., Jafari, P., Khamseh, A. and Saber, M.H. (2024), "Entrepreneurial ideas of information and communication technology: commercialization in post-COVID-19 era", Journal of Science and Technology Policy Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JSTPM-04-2023-0049 Dutta, S., Lanvin, B., Rivera León, L., & Wunsch-Vincent, S. (Eds.). (2023). Global Innovation Index 2023: Innovation in the face of uncertainty. Geneva: WIPO. Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G* Power 3.1: Tests for correlation and regression analyses. Behavior research methods, 41(4), 1149-1160. doi: https://link.springer.com/article/10.3758/BRM.41.4.1149 Fincham, J. E. (2008). Response Rates and Responsiveness for Surveys, Standards, and the Journal. American journal of pharmaceutical education, 72(2), 1-3. https://doi.org/10.5688/aj720243 George, D., & Mallery, P. (2019). IBM SPSS statistics 25 step by step: A simple guide and reference (15th ed.). New York: Routledge. https://doi.org/10.4324/9780429056765 Ghasemi, M., Beygi rad, E., Margir, A., & Shykhyany, M. (2018). The Role of Strategic Innovation and Open Innovation on the Performance of Companies Operating in the Zone Special Economic Bushehr. Public Management Researches, 10(38), 225-249. https://doi.org/10.22111/jmr.2018.3723 (In Persian) Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3 ed.). Thousand Oaks, CA: Sage. https://doi.org/10.1007/978-3-319-57413-4_15 Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203 Hajizade, P., Karbasi, M., & Daneshmand, K. (2022). Improving the performance of companies by emphasizing the role of open innovation and technological coercion. Journal of Innovation Ecosystem, 2(3), 87-106. https://doi.org/10.22111/innoeco.2023.44248.1047 (In Persian) Jasimuddin, S. M., & Naqshbandi, M. M. (2019). Knowledge infrastructure capability, absorptive capacity and inbound open innovation: evidence from SMEs in France. Production Planning & Control, 30(10-12), 893-906. https://doi.org/10.1080/09537287.2019.1582097 Joneidi Jafari, M., Bayat, R., Darvishi, F., & Fazli, S. (2021). The Effect of Knowledge Absorptive Capacity and Corporate Foresight Capabilities on Organizational Performance (Study of Case: Iranian Banking System). Future study Management, 126(32), 85-104. https://doi.org/10.30495/jmfr.2021.19491 (In Persian) Karabulut, A. T. (2015). Effects of innovation strategy on firm performance: a study conducted on manufacturing firms in Turkey. Procedia-Social and Behavioral Sciences, 195(1), 1338-1347. https://doi.org/10.1016/j.sbspro.2015.06.314 Kastelli, I., Dimas, P., Stamopoulos, D., & Tsakanikas, A. (2024). Linking digital capacity to innovation performance: The mediating role of absorptive capacity. Journal of the Knowledge Economy, 15(1), 238-272. https://doi.org/10.1007/s13132-022-01092-w Kim, B., Kim, E., & Foss, N. J. (2016). Balancing absorptive capacity and inbound open innovation for sustained innovative performance: An attention-based view. European Management Journal, 34(1), 80-90. https://doi.org/10.1016/j.emj.2015.10.002 Kouh Givi, M. (2022). The role of absorptive capacity in the design of business models based on the mediating role of innovation strategy in small and medium enterprises of Khuzestan province. Management Research Quarterly, 4(11), 192-204. https://jomsr.ir/fa/showart-cbbbc0f9d29b30603d12e48731de130c (In Persian) Li, C., Khan, A., Ahmad, H., & Shahzad, M. (2022). Business analytics competencies in stabilizing firms’ agility and digital innovation amid COVID-19. Journal of Innovation & Knowledge, 7(4), 100246. https://doi.org/10.1016/j.jik.2022.100246 Liao, S., Fu, L., & Liu, Z. (2020). Investigating open innovation strategies and firm performance: the moderating role of technological capability and market information management capability. Journal of Business & Industrial Marketing, 35(1), 23-39. https://doi.org/10.1108/JBIM-01-2018-0051 Liu, F., Dutta, D. K., & Park, K. (2021). From external knowledge to competitive advantage: absorptive capacity, firm performance, and the mediating role of labour productivity. Technology Analysis & Strategic Management, 33(1), 18-30. https://doi.org/10.1080/09537325.2020.1787373 Malekakhlagh, E., Mohammadnejad, A., & Hazari, N. (2024). Identifying the Impacts of intellectual Capital and Absorptive Capacity on Export Performance. Management and Development Process. JMDP. 37(1), 111-146. http://jmdp.ir/article-1-4725-fa.html (In Persian) Milovanović, B., Primorac, D., & Kozina, G. (2016). Two-dimensional analysis of the influence of strategic networking on entrepreneurial orientation and business performance among SMEs. Tehnički vjesnik, 23(1), 247-255. https://doi.org/10.17559/TV-20150428210214 Müller, J. M., Buliga, O., & Voigt, K. I. (2021). The role of absorptive capacity and innovation strategy in the design of industry 4.0 business Models-A comparison between SMEs and large enterprises. European Management Journal, 39(3), 333-343. https://doi.org/10.1016/j.emj.2020.01.002 Naqshbandi, M. M., & Jasimuddin, S. M. (2018). Knowledge-oriented leadership and open innovation: Role of knowledge management capability in France-based multinationals. International Business Review, 27(3), 701-713. https://doi.org/10.1016/j.ibusrev.2017.12.001 Naqshbandi, M. M., & Jasimuddin, S. M. (2022). The linkage between open innovation, absorptive capacity and managerial ties: A cross-country perspective. Journal of Innovation & Knowledge, 7(2), 100167. https://doi.org/10.1016/j.jik.2022.100167 Naqshbandi, M. M., & Tabche, I. (2018). The interplay of leadership, absorptive capacity, and organizational learning culture in open innovation: Testing a moderated mediation model. Technological Forecasting and Social Change, 133, 156-167. https://doi.org/10.1016/j.techfore.2018.03.017 Nureen, N., Liu, D., Ahmad, B., & Irfan, M. (2023). Relating green information acquisition, absorptive capacity, institutional pressure, and firm performance: an environmentally sustainable perspective. Environmental Science and Pollution Research, 30(16), 46779-46794. https://doi.org/10.1007/s11356-023-25457-z Pisano, G. P. (2015). You need an innovation strategy. Harvard business review, 93(6), 44-54. https://www.hbs.edu/faculty/Pages/item.aspx?num=49244 Prajogo, D. I. (2016). The strategic fit between innovation strategies and business environment in delivering business performance. International journal of production Economics, 171, 241-249. https://doi.org/10.1016/j.ijpe.2015.07.037 Pu, K., & Liu, W. (2023). Is absorptive capacity the" panacea" for organizational development? A META analysis of absorptive capacity and firm performance from the perspective of constructivism. Plos One, 18(2), e0282321. https://doi.org/10.1371/journal.pone.0282321 Rahimi, A., Aliverdizadeh, H., & Mahmoudabadi, S. (2023). Investigating the effect of knowledge management on organizational agility with emphasis on the mediating role of organizational innovation (Case of study: defense project-oriented organizations). Journal of Strategic Management of Organizational Knowledge, 6(2), 21-52. https://jkm.ihu.ac.ir/article_208078.html?lang=en (In Persian) Rahimi, H., & lotfi, H. (2022). Investigating the mediating role of knowledge management in the effect of social capital and absorption capacity on the performance of financial companies. Journal of Strategic Management of Organizational Knowledge, 5(4), 111-144. https://jkm.ihu.ac.ir/article_207769.html?lang=en (In Persian) Rahimnia, F., Khorakian, A., & Ghaderi, F. (2019). Investigating the effects of innovation strategies on export business performance with the moderating role of competition intensity. Journal of International Business Administration, 1(3), 1-22. https://doi.org/10.22034/jiba.2019.7587 (In Persian) Rashidalipour, Z., Ansari, M., & Seyed javadin, S. R. (2020). Study of the Effect of Knowledge Management Execution on Organizational Performance (Case study: Shir-e-Pegah Corporate). Journal of Strategic Management of Organizational Knowledge, 2(4), 113-151. https://jkm.ihu.ac.ir/article_204990.html?lang=en (In Persian) Sadri, H., & Dalvi, M. (2017). The Effect of Innovation Strategy on Performance according to Balanced Scorecard research on Esfahan Electricity Power Distribution Co. Public Policy In Administration, 8(27), 37-50. https://journals.srbiau.ac.ir/article_11195.html (In Persian) Saraei, L., & Ghaffari, B. (2019). Investigate the Effect of Managerial Relationships on Open Innovation, Considering the Absorption Capacity of Innovative and Innovative Firms. Science and Technology Policy Letters, 09(2), 97-110. https://dorl.net/dor/20.1001.1.24767220.1398.09.2.6.2 (In Persian) Sarstedt, M., & Cheah, J. H. (2019). Partial least squares structural equation modeling using SmartPLS: a software review. Journal of Marketing Analytics, 7(3), 196-202. https://doi.org/10.1057/s41270-019-00058-3 Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In Handbook of market research (pp. 587-632). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-57413-4_15 Seguí-Mas, E., Signes-Pérez, E., Sarrión-Viñes, F., & Vidal, J. A. (2016). Bibliometric analysis of the international literature on open innovation and absorptive capacity. Intangible Capital, 12(1), 51-72. http://dx.doi.org/10.3926/ic.685 Seifollahi, N., & Hamidzadeh Arbabi, A. (2021). Analyzing the Effect of Knowledge Management and Market Orientation on Market Performance with the Mediating Role of Open Innovation (Case Study: Tejarat Bank). Journal of Strategic Management of Organizational Knowledge, 4(1), 89-122. https://jkm.ihu.ac.ir/article_206164.html (In Persian) Shouyu, C. (2017). The relationship between innovation and firm performance: A literature review. In 7th International Conference on Social Network, Communication and Education (SNCE 2017) (pp. 648-652). Atlantis Press. https://doi.org/10.2991/snce-17.2017.132 Shrestha, N. (2021). Factor analysis as a tool for survey analysis. American journal of Applied Mathematics and statistics, 9(1), 4-11. http://dx.doi.org/10.12691/ajams-9-1-2 Shujahat, M., Sousa, M. J., Hussain, S., Nawaz, F., Wang, M., & Umer, M. (2019). Translating the impact of knowledge management processes into knowledge-based innovation: The neglected and mediating role of knowledge-worker productivity. Journal of business research, 94, 442-450. https://doi.org/10.1016/j.jbusres.2017.11.001 Tavassoli, S., & Karlsson, C. (2016). Innovation strategies and firm performance: Simple or complex strategies?. Economics of Innovation and New Technology, 25(7), 631-650. https://doi.org/10.1080/10438599.2015.1108109 Tsai, F. S., Cabrilo, S., Chou, H. H., Hu, F., & Tang, A. D. (2022). Open innovation and SME performance: The roles of reverse knowledge sharing and stakeholder relationships. Journal of Business Research, 148, 433-443. https://doi.org/10.1016/j.jbusres.2022.03.051 Varadarajan, R. (2018). Innovation, innovation strategy, and strategic innovation. Innovation and strategy, 15(1). 143-166. https://doi.org/10.1108/S1548-643520180000015007 Wetzels, M., Odekerken-Schröder, G., & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS quarterly, 177-195. https://doi.org/10.2307/20650284 Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety. Educational and psychological measurement, 73(6), 913-934. https://doi.org/10.1177/0013164413495237 Zhang, X., Chu, Z., Ren, L., & Xing, J. (2023). Open innovation and sustainable competitive advantage: The role of organizational learning. Technological Forecasting and Social Change, 186, 122114. https://doi.org/10.1016/j.techfore.2022.122114 | ||
|
آمار تعداد مشاهده مقاله: 369 |
||