عملکرد پایدار کسب و کار ورزشی: نقش هوش فناوری و میانجی‌های چابکی سازمانی و قابلیت‌های چابکی مشتری

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری مدیریت ورزشی، گروه مدیریت ورزشی، دانشکده علوم ورزشی دانشگاه گیلان، رشت، ایران

2 دانشیار گروه مدیریت ورزشی، دانشکده علوم ورزشی دانشگاه گیلان، رشت، ایران

3 دانشگاه گیلان

10.22034/sms.2024.140139.1271

چکیده

هدف پژوهش حاضر بررسی اثر هوش فناوری بر عملکرد پایدار کسب و کارهای ورزشی با نقش میانجی چابکی سازمانی و قابلیت‌های چابکی مشتری است. برای جمع‌آوری داده‌ها از پرسشنامه‌های هوش فناوری، چابکی سازمانی، چابکی مشتری و عملکرد پایدار کسب و کارهای ورزشی استفاده شد. جامعه آماری این پژوهش شامل کلیه مدیران و افراد مشغول در کسب و کارهای ورزشی بودند که از طریق نمونه‌گیری در دسترس و به‌صورت آنلاین انتخاب شدند (250 نفر). از نرم‌افزارهای SPSS نسخه 27 جهت آمار توصیفی و Smart PLS نسخه 3.2 جهت مدل‌سازی معادلات ساختاری استفاده شد. نتایج نشان داد اثر هوش فناوری بر عملکرد پایدار کسب و کارهای ورزشی معنی‌دار نبود (۰.۰۷۳β=)، اما هوش فناوری تأثیر مثبت و معنی‌داری بر چابکی سازمانی و قابلیت چابکی مشتری دارد (۰.۶۶؛ ۰.۶۰۴β=)؛ همچنین اثر چابکی سازمانی و قابلیت‌های چابکی مشتری بر عملکرد پایدار کسب و کارهای ورزشی مثبت و معنی‌دار بود (۰.۳۱۸؛ ۰.۵۱۳β=). در نهایت اثر هوش فناوری بر عملکرد پایدار کسب و کارهای ورزشی با نقش میانجی چابکی سازمانی و چابکی مشتری مثبت و معنی‌دار بود (0.210؛0.310β=). با توجه به یافته‌های حاضر عملکرد پایدار کسب و کار ورزشی را می‌توان از طریق نقش واسطه‌ای چابکی سازمانی و قابلیت‌های چابکی مشتری به دست آورد. در این میان هوش فناوری با نقش میانجی چابکی سازمانی و مشتری نقش مهمی در استفاده مؤثر و کارآمد در به‌کارگیری فناوری‌های نوین و تشخیص نیازهای مشتری و طراحی محصولات و خدمات جدید ایفا می‌کند که منجر به عملکرد پایدار می‌شود.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Sustainable performance of sports business: The role of technological intelligence and the mediating effects of organizational agility and customer agility capabilities

نویسندگان [English]

  • sadegh fatahimilasi 1
  • Noshin benar 2
  • Ali Nazarian 3
1 Ph.D. Candidate in Sports Management, Sports Sciences Faculty, University of Guilan, Rasht, Iran.
2 Associate Professor of the Department of Sport Management, Sport Sciences faculty, University of Guilan, Rasht, Iran.
3 University of Guilan
چکیده [English]

In today's highly competitive sports environment, where businesses compete without regard to geographical boundaries, achieving and maintaining a leading position in the industry has become a challenge. Value creation in sports organizations based on knowledge entrepreneurship has become increasingly important due to the necessity of coping with various changes, especially in the technology domain that has emerged in the sports and technology environment. Organizations and businesses in sports, particularly with increasing competition in the sports market, play a crucial role in their success through productivity and efficiency. Therefore, this research examines the impact of technology intelligence on the sustainable performance of sports businesses, as well as the mediating roles of organizational agility and customer agility in realizing the full potential of technology intelligence as influential background factors. This research employed a quantitative research method based on a descriptive-survey approach for the research model examination. The statistical population of this study consisted of all managers and individuals engaged in sports businesses. To determine the minimum sample size in PLS-SEM, the rule of thumb of 10 times was applied. Accordingly, due to the improvement of research reliability, a sample size of 250 individuals participated in the study through online convenience sampling. The sports businesses investigated in this research comprised three main sectors. The first section included sports service clinics (such as sports massage, corrective exercises, and rehabilitation), and fitness clubs (sports consultancy, private and general coaching, fitness clubs, virtual sports services, sports performance analysts, and sports camps). Finally, the third section encompassed sports goods manufacturing companies and sports goods stores. A questionnaire with two sections was used to collect research data. The first section included participants' demographic information, while the second section was used to collect data on the four main variables of the research (technology intelligence, sustainable performance of sports businesses, organizational agility, and customer agility). All questionnaires in this study utilized a 5-point Likert scale. The questionnaire was sent to sports management professors for face and content validity confirmation. Thirteen of these professors provided their feedback to the research group, which was incorporated into the questionnaires. Furthermore, the reliability of the research structure was confirmed through Cronbach's alpha and composite reliability. Descriptive statistics were used to analyze the demographic characteristics of the population using SPSS version 27 software, and for hypothesis testing, PLS-SEM and Smart PLS version 3.2.8 software were utilized. Additionally, statistical tests including path coefficients, importance of path coefficients, and variance explained by the inner constructs were employed, as well as the Sobel and Goodman mediation tests for hypothesis testing. This study was conducted on sports businesses, focusing on analyzing the effect of technology intelligence on the sustainable performance of sports businesses with the mediating roles of organizational agility and customer agility.
The results showed that the effect of technology intelligence on the sustainable performance of sports businesses was not significant (β = 0.073), but technology intelligence had a positive and significant impact on organizational agility and customer agility (β = 0.66; β = 0.604). Furthermore, the effects of organizational agility and customer agility on the sustainable performance of sports businesses were positive and significant (β = 0.318; β = 0.513). Ultimately, the effect of technology intelligence on the sustainable performance of sports businesses with the mediating roles of organizational agility and customer agility was positive and significant (β = 0.210; β = 0.310).
The application of information technology enables organizations to maximize their investments and use of technology, leading to increased agility and competitive advantage. Technology intelligence also influences various aspects of agility in sports businesses, such as human resource agility and innovation agility (Jinkins, 2021). Another study by Olan et al (2022) found that "implementing artificial intelligence technologies alone is not sufficient to improve organizational performance", therefore, it can be acknowledged that the mediating role of organizational agility can be instrumental in creating competitive advantage with value creation capability and formulating sustainable strategies for sports businesses. Sports businesses, due to their highly dynamic market and intense competition, strive to enhance their agility. Organizational agility and customer agility are two important factors that can help sports businesses compete effectively (Hu and Kee, 2022). Improving the performance of sports businesses and utilizing innovative technologies, including technology intelligence, can enable them to achieve optimal performance in a dynamic and competitive business environment. The use of technology intelligence allows sports businesses to utilize their data and respond to the needs of their customers through data analysis. This enables sports businesses to improve their products and services, increase customer satisfaction, and find the best solutions for enhancing their performance with organizational agility. In essence, technology intelligence helps sports businesses stay up-to-date and quickly adapt to environmental changes and customer needs. Moreover, with the use of technology intelligence, sports businesses can enhance their productivity and promptly respond to the needs of their customers. Technology intelligence helps sports businesses maintain their growth and development by utilizing innovative technologies and ensuring optimal performance in the competitive environment they operate in (Smith et al, 2004). Sustainable performance of sports businesses can be achieved through the mediating role of organizational agility and customer agility. By focusing on improving business performance, innovation capability, and leveraging new technologies, sports businesses can gain a competitive advantage in a dynamic business environment. In this regard, technology intelligence plays a crucial role in effectively using and deploying innovative technologies, identifying customer needs, and designing new products and services, leading to sustainable performance. This study confirmed that technology intelligence does not directly affect economic, social, and environmental performance, and organizational agility and customer agility play a mediating role.

کلیدواژه‌ها [English]

  • Organizational agility
  • performance
  • sports business
  • customer agility
  • intelligence
  • technology
  1. Awwad, A. S. Ababneh, O. M. A. & Karasneh, M. (2022). The mediating impact of IT capabilities on the association between dynamic capabilities and organizational agility: The case of the jordanian IT sector. Global Journal of Flexible Systems Management, 23(3), 315- 330.‏

    Atkinson, P. Hizaji, M. Nazarian, A. & Abasi, A. (2022). Attaining organisational agility through competitive intelligence: the roles of strategic flexibility and organisational innovation. Total Quality Management & Business Excellence, 33(3-4), 297-317.

    Atapattu, M. Sedera, D. Ravichandran, T. & Grover, V. (2016). Customers' view of agility: The expectation-confirmation theory perspective. Asia pacific journal of information systems, 26(1), 80-108.‏

    Anagnostopoulos, C. & Parganas, P. (2016). The Sports Strategist: Developing Leaders for a High-Performance Industry. Sport, Business and Management: An International Journal, 6(1), 106-108.‏

    Gurca, A. P. & Ravishankar, M. N. (2012). The Influence of Internet-Enabled Technologies on Customer Agility: A Strategic-Cognitive Perspective.‏

    Chukuigwe, N. (2022). TECHNOLOGY INTELLIGENCE AND ORGANIZATIONAL PERFORMANCE OF FIRMS IN RIVERS STATE. BW Academic Journal, 10-10.

    Ding, P. (2019). Analysis of artificial intelligence (AI) application in sports. In Journal of Physics: Conference Series (Vol. 1302, No. 3, p. 032044). IOP Publishing.‏

    Esmaeili, M., & Ferdowsi, M. H. (2021). The Effect Of Entrepreneurial Marketing On The Financial Performance Of Sports Products Manufacturers With The Mediating Role Of Information Technology. Sports Marketing Studies, 2(2), 127-150. Doi: Https://Www.Doi.Org/10.34785/J021.2021.438[In Persian]

    Esazadeh, H. Bagheri Ragheb, G. Kordenayeg, A. karimi, A. & Soltani, M. (2021). Designing and Developing a Strategic Agility Model for Small and Medium-Sized Businesses. Sport Management Studies, 13(67), 202-224. doi: 10.22089/smrj.2020.8298.2844

    Felipe, C. M. Leidner, D. E. Roldán, J. L. & Leal‐Rodríguez, A. L. (2020). Impact of IS capabilities on firm performance: The roles of organizational agility and industry technology intensity. Decision Sciences, 51(3), 575-619.‏

    Ghezelsefloo, H., Chorli, A., & Bay, N. (2021). Investigating the factors influencing the competitive marketing of small sports businesses during the coronavirus outbreak. Sports Marketing Studies, 2(4), 147-176. doi: https://www.doi.org/10.34785/J021.2022.942[In Persian]

    Hadi, F, Habib, Ebrahimpour. (2014). Investigating the relationship between technology intelligence and business performance. Singaporean Journal of Business Economics and Management Studies, 2(11):207-215.

    Hu, M. K. & Kee, D. M. H. (2022). SMEs and business sustainability: Achieving sustainable business growth in the new normal. In Research anthology on business continuity and navigating times of crisis (pp. 1036-1056). IGI Global.‏

    Hair, J. F. Sarstedt, M. Hopkins, L. & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review. Emerald Group Publishing Ltd.

    Hair, J.F. Ringle, C.M. & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Practice, 19(2), 139-152.

    Henseler, J. Ringle, C.M. and Sinkovics, R.R. (2009), “The use of partial least squares path modeling in international marketing”, Advances in International Marketing, Vol. 20, pp. 277-320.

    Jinkins, L. (2021). Innovation Opportunities in Sport Management: Agile Business, Flash Teams, and Human-Centered Design. Sports Innovation Journal, 2, 19-32.

    Juneho, Um. (2017). The impact of supply chain agility on business performance in a high level customization environment. Operations Management Research, 10(1):10-19.

    Kerr, C. Mortara, L. Phaal, R. & Probert, D. R. (2006). A conceptual model for technology intelligence. International Journal of Technology Intelligence and Planning, 2(1), 73-93.

    Lim, Y. Y. & Teoh, A. P. (2018). The Influence of Sustainable Leadership and Strategic Agility on Business Sustainability. In Proceedings of the 7th International Conference on Entrepreneurship and Business Management (ICEBM Untar 2018) (pp. 139-144).‏

    Luo, S. C. & Deng, G. F. (2014). Research on the development of sports information system based on the sports information management theory. Advanced Materials Research, 998, 1327-1330.‏

    Milasi, S. F., Benar, N., Nazarian, A., & Shahzad, M. (2024). Unlocking the potential: A comprehensive meta-synthesis of Internet of Things in the sports industry. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 17543371241229521.

    Muhammad, Yasir. Muhammad, Adnan, Bashir. Junaid, Ansari. (2021). Technological Antecedents of Organizational Agility: PLS SEM Based Analysis Using IT Infrastructure, ERP Assimilation, and Business Intelligence. Market Forces, 16(1).

    Marhraoui, M. A. & El Manouar, A. (2017, October). IT innovation and firm's sustainable performance: The mediating role of organizational agility. In Proceedings of the 9th International Conference on Information Management and Engineering (pp. 150-156).‏‏

    Nazarian, A. Vishkaeii, R. M. Shahzad, M. Ebrahimi, E. & Adlparvar, A. (2023). Assessing key factors for sporting industry sustainable development through multilayer artificial perceptron neural network approach. Environmental Science and Pollution Research, 30(1), 1176-1188.

    Navaie, H. Haghighat Monfared, J. & Radfar, R. (2015). The Effect of Application of Information Technology on Organizational Agility Using the Fuzzy Method (Case Study of the Informatics Services Corporation). Journal of System Management, 1(4), 99-118.

    Nicholas, R. Varun, G. (2012). Leveraging Information Technology Infrastructure to Facilitate a Firm's Customer Agility and Competitive Activity: An Empirical Investigation. The Missouri Review, 28(4), 231-270.

    Olan, F. Ogiemwonyi Arakpogun, E. Suklan, J. Nakpodia, F. Damij, N. & Jayawickrama, U. (2022). Artificial intelligence and knowledge sharing: Contributing factors to organizational performance. Journal of Business Research, 145, 605–615.

    Olu-Egbuniwe, J. & Maeyouf, F. W. B. (2019). The Effect of Information Technology on Organizational Agility and Productivity in Telecommunication Industry of Libya. International Journal of Economics and Management, 1(1), 19-25.

    1. A, Asikhia. N, Dr. Magaji. A. S, Muritala. (2018). Technological Intelligence and organisational Performance: Moderating Role of Process Innovation. 2(1), 25-31.

    Richardson, K. (2022). Understanding intelligence. Cambridge University Press.‏

    Rahimi, A. Alidoust Ghahfarokhi, E. & Norouzi Seyed Hosseini, R. (2020). Can Market Knowledge Lead to the Formation of Entrepreneurial Opportunities and Commercialization in Sports Startups? New Approaches in Exercise Physiology, 2(4), 71-86.‏

    Salimi, M. & Nazarian, A. (2022). The effect of organisational agility as mediator in the relationship between knowledge management, and competitive advantage and innovation in sport organisations. International Journal of Knowledge Management Studies, 13(3), 231-256.

    Sina, F. S. (2022). The relationship between information and communication technology, job performance, with the mediating role of organizational agility. Journal of Information and Communication Technology in Educational Sciences, 12(4 (serial 48)), 59-77. [In Persian]

    Salehi Mobarakeh, N. Alam, S. Shetab Boushehri, S. N. & Zarghami, M. (2020). Modeling the Factors Influencing the Intent of Use and Practical Use of Smart Phones in the Field of Sports Services. Sport Management Studies, 12(59), 91-112.

    Savić, Z. Ranđelović, N. Stojanović, N. Stanković, V. & Šiljak, V. (2018). The sports industry and achieving top sports results. Facta Universitatis, Series: Physical Education and Sport, 15(3), 513-522.‏

    Smith, A. Westerbeek, H. Smith, A. & Westerbeek, H. (2004). The New Frontiers of Sport Business: Sport Business as Unusual. The Sport Business Future, 183-201.‏

    Savioz, P. Scacchi, M. & Tschirky, H. P. (2001, July). Implementing a technology intelligence system in a medium-sized medtech company. In PICMET'01. Portland International Conference on Management of Engineering and Technology. Proceedings Vol. 1: Book of Summaries (IEEE Cat. No. 01CH37199) (Vol. 1, pp. 216-216). IEEE.‏

    Torres-Ronda, L. & Schelling, X. (2017). Critical process for the implementation of technology in sport organizations. Strength & Conditioning Journal, 39(6), 54-59.‏

    Vu, M, Ngo. Hieu, M, Vu. (2021). Can Customer Relationship Management Create Customer Agility and Superior Firms’ Performance? International Journal of Business and Society, 22(1):175-193.

    Vanessa, R. Geoff, D. (2020). Big data and business intelligence in sport. 25-35.

    Wamba, S. F. (2022). Impact of artificial intelligence assimilation on firm performance: The mediating effects of organizational agility and customer agility. International Journal of Information Management, 67, 102544.‏

    Worley, C. G. & Lawler, E. E. (2010). Agility and organization design: A diagnostic framework. Organizational Dynamics, 39(2), 194-204.