تأثیر هماهنگی بازاریابی و زنجیرۀ تأمین بر عملکرد نوآوری محصول با کیفیت هوشمندی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 کارشناسی ارشد، مدیریت کسب وکار، گرایش زنجیره تامین، دانشکده اقتصاد و مدیریت، دانشگاه تبریز، تبریز، ایران

2 دکتری، مدیریت بازرگانی، گرایش استراتژیک، دانشکده اقتصاد و مدیریت، دانشگاه تبریز، تبریز، ایران

3 دانشیار، گروه مدیریت بازرگانی، دانشکده اقتصاد و مدیریت، دانشگاه تبریز، تبریز، ایران

چکیده

هدف پژوهش حاضر، بررسی رابطۀ بین سیستم بازاریابی و زنجیرۀ تأمین بر عملکرد نوآوری محصول با تعدیل‌گری کیفیت هوشمندی می‎‌باشد. پژوهش حاضر، از لحاظ هدف، کاربردی و از لحاظ گردآوری داده‌ها، به صورت توصیفی از نوع همبستگی است. گردآوری داده‌ها با استفاده از پرسشنامه و نظرسنجی از 376 نفر از مدیران وکارشناسان صنعت قطعات خودرو انجام و برای تحلیل داده‌ها از روش معادلات ساختاری استفاده شد. نتایج پژوهش نشان داد که بین هماهنگی سیستم بازاریابی و زنجیرۀ تأمین بر عملکرد نوآوری محصول با تعدیل‌گری کیفیت هوشمندی رابطۀ مثبت ومعناداری وجود ندارد؛ ارتباط بین هماهنگی بازاریابی با عملکرد نوآوری محصول و ارتباط هماهنگی زنجیرۀ تأمین با عملکرد نوآوری محصول تأیید شد. زنجیره تأمین، رکن اصلی صنعت، نقش بسزایی در توسعه وعملکرد این حوزه دارد به طوری که با در نظر گرفتن یکپارچگی بین بازاریابی و فرآیندهای تولید، می­توان نسبت به افزایش عملکرد و سودآوری صنعت اطمینان یافت، از آنجایی که بازاریابی و ضرورت هماهنگی بین فرآیندهای کلیدی در صنعت، یکی از الزامات اساسی می­باشد، در این تحقیق، ضرورت هماهنگی بین فرآیندهای بازاریابی، عملکرد نوآوری و زنجیرۀ تأمین نشان داده شد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

The effect of marketing and supply chain coordination on product innovation performance with intelligence quality

نویسندگان [English]

  • fatemeh Esmati 1
  • فاطمی fatemi 2
  • mohammad Faryabi 3
1 Master of Business Administration, Supply Chain Management, Faculty of Economics and Management, University of Tabriz, Tabriz, Iran
2 PhD, Business Administration, Strategic Management, Faculty of Economics and Management, University of Tabriz, Tabriz, Iran
3 Associate Professor, Department of Business Administration, Faculty of Economics and Management, University of Tabriz, Tabriz, Iran
چکیده [English]

EXTENDED ABSTRACT
 
Introduction: In today's competitive world, organizations and industries, particularly in complex areas such as marketing and supply chain, are constantly seeking to improve performance and product innovation. Product innovation is recognized as one of the key factors in the success and competitiveness of organizations, as it can meet market needs and create a competitive advantage (Tidd, 2023). Furthermore, marketing and supply chain are considered two main pillars in business processes, playing a significant role in achieving these innovations (Zimmermann et al., 2016). Given the importance of these topics, numerous studies have been conducted in these areas, demonstrating that proper alignment and coordination between marketing systems and supply chains can have a significant impact on product innovation performance (Salam& Bajaba, 2023). Intelligent Quality is presented as a moderating factor in these processes. In other words, the quality of information and business intelligence can facilitate optimal decision-making in marketing and supply chain management, thereby enhancing product innovation performance (Khan et al.,2024,). This study aims to examine these relationships and the moderating role of smart quality between marketing systems, supply chain, and product innovation performance. According to previous research, many organizations, in their pursuit of creating integration between marketing and supply chain, aim to achieve strategic alignment to improve their product innovation performance (Arora et al., 2016). In this context, previous studies have shown that the success of managing product innovation is largely dependent on the quality of data and the decisions made based on it. Additionally, the supply chain is considered not only as an operational process but also as a strategy that influences innovation. The main objective of this research is to examine the relationship between marketing systems and supply chains with product innovation performance, and to analyze the role of smart quality as a moderating factor in these relationships.
Methodology: The methodology of this research is applied, descriptive, and correlational in nature.  Data was collected using a survey method, specifically through questionnaires distributed to 376 managers and experts in the automotive parts industry. The questionnaire utilized a Likert scale and was validated through expert reviews to ensure its appropriateness. For data analysis, Structural Equation Modeling (SEM) was used with the help of SmartPLS software to test the proposed hypotheses and evaluate the relationships between variables.
Discussion and Results: The results of this research reveal significant findings regarding the relationships between marketing system coordination, supply chain coordination, and product innovation performance, with the moderating effect of smart quality. In line with previous studies, this research confirms that alignment and integration between marketing and supply chain processes have a substantial impact on innovation outcomes (Seo et al., 20114). Specifically, the analysis demonstrates a strong positive relationship between marketing system coordination and product innovation performance, supporting the notion that a cohesive marketing strategy can directly drive the development and success of innovative products (De Luca et al.,2007). Moreover, the results highlight the critical role of supply chain coordination in enhancing product innovation performance. This finding is consistent with research by Lau et al (2008), who emphasize that efficient supply chain management is crucial for the timely delivery of innovative products. By integrating marketing and supply chain functions, firms can ensure the alignment of production, distribution, and customer needs, which ultimately leads to more successful product innovations. The moderating role of smart quality emerged as a key insight in this study. Intelligent Quality, in the form of data-driven decision-making and effective use of information, was found to enhance the relationship between both marketing and supply chain coordination and product innovation performance. This aligns with the work of Mushore (2017), who argue that businesses that leverage analytics and business intelligence can achieve superior performance outcomes. In this research, smart quality acted as a facilitator that amplified the effects of coordination, demonstrating that high-quality information is essential for informed decision-making and effective execution of innovation strategies. Additionally, the analysis confirmed the hypothesis that smart quality not only moderates the relationship between marketing and innovation but also plays a significant role in the interaction between supply chain coordination and innovation performance. This reinforces the idea that modern supply chains require not only operational efficiency but also the ability to adapt to changes in market demand and innovation (Ju et al., 2016). As organizations increasingly rely on data and analytics, the role of smart quality in driving innovation becomes even more crucial (Mushore, 2017). In conclusion, the results of this research support the theoretical framework and hypotheses, confirming that effective coordination between marketing and supply chain, enhanced by smart quality, can significantly improve product innovation performance. This study contributes to the growing body of literature that links organizational coordination, smart quality, and innovation, providing valuable insights for managers and decision-makers in industries striving to improve innovative outcomes.
Conclusion: This research highlights the significant impact of marketing system coordination and supply chain integration on product innovation performance, with a key focus on the moderating role of smart quality. The findings confirm that cohesive marketing strategies directly enhance innovation, while effective supply chain coordination ensures timely, cost-effective delivery of innovative products. For industries like automotive parts, characterized by rapid technological changes, this research underscores the importance of aligning marketing and supply chain functions, as well as leveraging smart quality for informed decision-making. Managers are encouraged to focus on these areas to optimize innovation and maintain a competitive advantage.

کلیدواژه‌ها [English]

  • Marketing
  • Supply Chain
  • Coordination
  • Performance
  • Innovation
Adams, P., Freitas, I. M. B., & Fontana, R. (2019). Strategic orientation, innovation performance and the moderating influence of marketing management. Journal of business research97, 129-140. https://doi.org/10.1016/j.jbusres.2018.12.071
Adewale, P., Yancheshmeh, M. S., & Lam, E. (2022). Starch modification for non-food, industrial applications: Market intelligence and critical review. Carbohydrate Polymers291, 119590.https://doi.org/10.1016/j.carbpol.2022.119590
Aghajani Mir, Rajabi Kafshgar, Fatemeh Zahra, & Arab. (2022). Identifying and prioritizing the challenges of implementing blockchain technology in the supply chain: A Bayesian BWM group approach. Decision Making and Operations Research, 6(4), 464-483. (In Persion).
Alqahtani, F., Selviaridis, K., & Stevenson, M. (2025). How incentive alignment along the supply chain fosters incremental innovation: evidence from defence performance-based contracts. International Journal of Operations & Production Management45(6), 1250-1275. https://doi.org/10.1108/IJOPM-01-2024-0064
Alshurideh, M., Al Kurdi, B. H., Masa’deh, R. E., Alzoubi, H. M., & Salloum, S. (Eds.). (2023). The effect of information technology on business and marketing intelligence systems. Springer Nature. ISBN:9783031123825, 3031123824
Arora, A., Arora, A. S., & Sivakumar, K. (2016). Relationships among supply chain strategies, organizational performance, and technological and market turbulences. The International Journal of Logistics Management27(1), 206-232. https://doi.org/10.1108/IJLM-09-2013-0103
Asadi, Elham and Sadeghi, Mohammad Taghi, 2013, The Effect of Marketing Capability and Supply Chain Integration Capability on New Product Development Performance: The Moderating Role of Knowledge Absorption Capacity, National Conference on New Challenges and Solutions in Management, Accounting and Insurance Industry, Ardabil, https://civilica.com/doc/1798083. (In Persion).
Bellamy, M. A., Ghosh, S., & Hora, M. (2014). The influence of supply network structure on firm innovation. Journal of Operations Management32(6), 357-373. https://doi.org/10.1016/j.jom.2014.06.004
Bendoly, E., Bharadwaj, A., & Bharadwaj, S. (2012). Complementary drivers of new product development performance: Cross‐functional coordination, information system capability, and intelligence quality. Production and Operations Management21(4), 653-667. https://doi.org/10.1111/j.1937-5956.2011.01299.x
Boyaci, T., & Gallego, G. (2004). Supply chain coordination in a market with customer service competition. Production and operations management13(1), 3-22. https://doi.org/10.1111/j.1937-5956.2004.tb00141.x
Chhabra, A., Hussien, A. G., & Hashim, F. A. (2023). Improved bald eagle search algorithm for global optimization and feature selection. Alexandria Engineering Journal68, 141-180. https://doi.org/10.1016/j.aej.2022.12.045
Christopher, M., & Holweg, M. (2011). “Supply Chain 2.0”: Managing supply chains in the era of turbulence. International journal of physical distribution & logistics management41(1), 63-82. https://doi.org/10.1108/09600031111101439
Dahan, G., & Levi-Bliech, M. (2024). Assessing supply chain management’s impact on new product performance: the mediating role of marketing innovation orientation during COVID-19. Journal of Strategy and Management17(2), 297-321. https://doi.org/10.1108/JSMA-08-2023-0226
Dahan, G., & Levi-Bliech, M. (2024). Assessing supply chain management’s impact on new product performance: the mediating role of marketing innovation orientation during COVID-19. Journal of Strategy and Management17(2), 297-321. https://doi.org/10.1108/JSMA-08-2023-0226
De Luca, L. M., & Atuahene-Gima, K. (2007). Market knowledge dimensions and cross-functional collaboration: Examining the different routes to product innovation performance. Journal of marketing71(1), 95-112. https://doi.org/10.1509/jmkg.71.1.095
Dehghan Dehnavi, & Delshad. (2018). Evaluation of customer expectations meeting criteria at the level of total quality management with a system dynamics approach. Management and Development Process, 31(2), 91-110.‎ (In Persion).
Dehghan Khalilabad, & Aref. (2022). Investigating the impact of supply chain quality management capabilities and practices on innovation and operational performance (case study of Mashhad food industry companies). Supply Chain Management, 23(73), 1-12.‎ (In Persion).
Felea, M., & Albăstroiu, I. (2013). Defining the concept of supply chain management and its relevance to romanian academics and practitioners. Amfiteatru Economic Journal15(33), 74-88. https://hdl.handle.net/10419/168777
Finnholm, J., Wallo, A., Allard, K., & Tengblad, S. (2025). Reconceptualizing HR change agency: introducing a framework and propositions for future research. Personnel Review54(7), 1643-1666. https://doi.org/10.1108/PR-05-2024-0446
Geiger, A. (2024). Enhancing supply chain coordination: A comparative analysis of clustering techniques for the Production Routing Problem. Computers & Industrial Engineering196, 110455. https://doi.org/10.1016/j.cie.2024.110455
Ghoudi, K., Hamdouch, Y., Boulaksil, Y., & Hamdan, S. (2024). Supply chain coordination in a dual sourcing system under the Tailored Base-Surge policy. European Journal of Operational Research317(2), 533-549. https://doi.org/10.1016/j.ejor.2024.03.038
Haidar A. H. (2008). Structural equation modeling using LISREL software. 1st ed. Tehran: SAMT Publication. (In Persian).
Handijani, Rosa, Norouzi, & Mahdis. (2023). The effect of supply chain integration on firm performance with the mediating role of supply chain resilience during the coronavirus outbreak (food industry firms in Tehran province). Industrial Management Perspectives, 13(3), 285-318.‎ (In Persion).
Hosseini, Seyed Rasoul, Tari, Ghaffar, Davoudi, Seyed Alireza, & Shafiei. (2023). Investigating factors affecting sustainable supply chains with a blockchain approach based on cognitive mapping. Supply Chain Management, 77(24), 23-39.)In Persion).
Jafari, Taha, Zarei, Azim, Azar, Adel, & Moghadam. (2022). Designing a model of the impact of business intelligence on supply chain performance with an emphasis on integration and agility. Industrial Management Perspectives, 12(3), 279-315.‎(In Persion).
Janecki, M., & Dzierzbicka-Głowacka, L. (2024). Fish Module‐A prognostic tool for modeling the optimal environmental conditions for fish. Applied Soft Computing153, 111302. https://doi.org/10.1016/j.asoc.2024.111302
Ju, K. J., Park, B., & Kim, T. (2016). Causal relationship between supply chain dynamic capabilities, technological innovation, and operational performance. Management and Production Engineering Review7. DOI 10.1515/mper-2016-0031
Kazazi, Abolfazl, Khani, & Amir Mohammad. (2024). Structural Modeling Based on Supply Chain Integration in Relation to Supply Chain Risk, Quality, and Product Innovation Capability. Productivity Management. (In Persion).
Kenett, R. S., & Shmueli, G. (2014). On information quality. Journal of the Royal Statistical Society Series A: Statistics in Society177(1), 3-38. SSRN: https://ssrn.com/abstract=2128547
Khan, A., Talukder, M. S., Islam, Q. T., & Islam, A. N. (2024). The impact of business analytics capabilities on innovation, information quality, agility and firm performance: the moderating role of industry dynamism. VINE Journal of Information and Knowledge Management Systems54(5), 1124-1152. https://doi.org/10.1108/VJIKMS-01-2022-0027
Lau, A. K., Yam, R. C., & Tang, E. P. (2010). Supply chain integration and product modularity: An empirical study of product performance for selected Hong Kong manufacturing industries. International Journal of Operations & Production Management30(1), 20-56. https://doi.org/10.1108/01443571011012361
Lee, S. M., & Rha, J. S. (2016). Ambidextrous supply chain as a dynamic capability: building a resilient supply chain. Management Decision54(1), 2-23. https://doi.org/10.1108/MD-12-2014-0674
Li, Z., Pan, Y., Yang, W., Ma, J., & Zhou, M. (2021). Effects of government subsidies on green technology investment and green marketing coordination of supply chain under the cap-and-trade mechanism. Energy Economics101, 105426. https://doi.org/10.1016/j.eneco.2021.105426
Luo, L., Liu, X., Zhao, X., & Flynn, B. B. (2023). The impact of supply chain quality leadership on supply chain quality integration and quality performance. Supply Chain Management: An International Journal28(3), 508-521. https://doi.org/10.1108/SCM-05-2021-0235
Maltz, E., & Kohli, A. K. (1996). Market intelligence dissemination across functional boundaries. Journal of Marketing Research33(1), 47-61. https://doi.org/10.1177/002224379603300105
Mostaghel, R., Oghazi, P., Patel, P. C., Parida, V., & Hultman, M. (2019). Marketing and supply chain coordination and intelligence quality: A product innovation performance perspective. Journal of Business Research101, 597-606. https://doi.org/10.1016/j.jbusres.2019.02.058
Mushore, R. (2017). Leveraging business Intelligence and analytics to improve decision-making and organisational success.
Nazeri, Miladi Rad, & Setareh. (2018). Production Networks and Supply Chains: A Strategic Operations Perspective. Supply Chain Management, 20(59), 54-68.‎ (In persion).
Rahimi, M and Ajoudani, M, )2013(, The Impact of Marketing Intelligence on Supply Chain with the Mediating Role of Product Innovation Performance (Case Study: Kaleh Company, Tehran Province), First National Conference on New Approaches to Management, Economics, Global Trade, Accounting and Banking in the Third Millennium, Ahvaz, https://civilica.com/doc/1894768.  (In Persion).
Ringler, C. (2021). Truth and lies: The impact of modality on customer feedback. Journal of Business Research133, 376-387. https://doi.org/10.1016/j.jbusres.2021.05.014
Saha, S., Alrasheedi, A. F., Khan, M. A. A., & Manna, A. K. (2024). Optimal strategies for green investment, sharing contract and advertising effort in a supply chain coordination problem. Ain Shams Engineering Journal15(4), 102595. https://doi.org/10.1016/j.asej.2023.102595
Salam, M. A., & Bajaba, S. (2023). The role of supply chain resilience and absorptive capacity in the relationship between marketing–supply chain management alignment and firm performance: a moderated-mediation analysis. Journal of Business & Industrial Marketing38(7), 1545-1561. https://doi.org/10.1108/JBIM-02-2022-0105
Seo, Y. J., Dinwoodie, J., & Kwak, D. W. (2014). The impact of innovativeness on supply chain performance: is supply chain integration a missing link?. Supply Chain Management: An International Journal19(5-6), 733-746. https://doi.org/10.1108/SCM-02-2014-0058
Setyawati, A., Sugangga, R., Sulistyowati, R., Narmaditya, B. S., Maula, F. I., Wibowo, N. A., & Prasetya, Y. (2024). Locus of control, environment, and small-medium business performance in pilgrimage tourism: The mediating role of product innovation. Heliyon10(9). DOI: 10.1016/j.heliyon. 2024.e29891
Shahbandarzadeh, H., & Abadi, F. (2016). Supply Chain Performance Assessment with Supply Chain Operational Reference Model (SCOR) Approach (Case Study: Iran Marine Industries Company (Sadra)). Business Reviews, 14(79), 37-49. (In Persion).
Shahin, M., Ghasri, M., & Abbasi, A. (2024). Individuals’ contribution to household energy savings: The role of big-two personality traits. Heliyon10(4). https://doi.org/10.1016/j.heliyon.2024.e25922
Shan, H., Bai, D., Li, Y., Shi, J., & Yang, S. (2023). Supply chain partnership and innovation performance of manufacturing firms: Mediating effect of knowledge sharing and moderating effect of knowledge distance. Journal of Innovation & Knowledge8(4), 100431. https://doi.org/10.1016/j.jik.2023.100431
Shan, H., Bai, D., Li, Y., Shi, J., & Yang, S. (2023). Supply chain partnership and innovation performance of manufacturing firms: Mediating effect of knowledge sharing and moderating effect of knowledge distance. Journal of Innovation & Knowledge8(4), 100431. https://doi.org/10.1016/j.jik.2023.100431
Talke, K., & Colarelli O'Connor, G. (2011). Conveying effective message content when launching new industrial products. Journal of Product Innovation Management28(6), 943-956. https://doi.org/10.1111/j.1540-5885.2011.00852.x
Tao, H., Zhuang, S., Xue, R., Cao, W., Tian, J., & Shan, Y. (2022). Environmental finance: an interdisciplinary review. Technological Forecasting and Social Change179, 121639. https://doi.org/10.1016/j.techfore.2022.121639
Tavassoli, S. A. M., & Bengtsson, L. (2018). The role of business model innovation for product innovation performance. International Journal of Innovation Management22(07), 1850061. https://doi.org/10.1142/S1363919618500615
Tidd, J. (2023). Managing innovation. IEEE Technology and Engineering Management Society Body of Knowledge (TEMSBOK), 95-108. https://doi.org/10.1002/9781119987635.ch6
Wei, L. Q., Ling, Y., Kellermanns, F. W., & Zhang, Y. (2025). Strategic consensus at founding and product innovation performance in high-tech ventures. Journal of Business Research188, 115082. https://doi.org/10.1016/j.jbusres.2024.115082
Yam, R. C., & Chan, C. (2015). Knowledge sharing, commitment and opportunism in new product development. International Journal of Operations & Production Management35(7), 1056-1074. https://doi.org/10.1108/IJOPM-01-2014-0037
Yu, Y., Zeng, H., & Zhang, M. (2025). Digital transformation for supply chain collaborative innovation and market performance. European Journal of Innovation Management28(6), 2446-2468. https://doi.org/10.1108/EJIM-09-2023-0736
Zolfi, Mehrdad, Safai Ghadikalai, Abdolhamid, & Valipour Khatir, Mohammad. (1401). Identifying and prioritizing sustainable supply chain activities based on multi-grounded theory (case study: Saipa Company). Journal of Executive Management, 14(27), 575-600. (In Persion).
Zuhroh, S., & Rini, G. P. (2024). Product innovation capability and distinctive value positioning drivers for marketing performance: a service-dominant logic perspective. International Journal of Innovation Science. https://doi.org/10.1108/IJIS-04-2024-0100