| تعداد نشریات | 127 |
| تعداد شمارهها | 7,140 |
| تعداد مقالات | 76,865 |
| تعداد مشاهده مقاله | 154,668,291 |
| تعداد دریافت فایل اصل مقاله | 116,688,210 |
انتخاب استراتژی بازاریابی برای پلتفرم ویدئویی آنلاین با رویکرد تصمیمگیری چندمعیاره | ||
| بررسیهای مدیریت رسانه | ||
| دوره 4، شماره 3، 1404، صفحه 357-385 اصل مقاله (541.85 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/mmr.2025.393614.1167 | ||
| نویسندگان | ||
| زینب مولودی1؛ آمنه خدیور* 2؛ محمدرضا امینی3 | ||
| 1کارشناسی ارشد، گروه مدیریت، دانشکدۀ علوم اجتماعی و اقتصاد، دانشگاه الزهرا، تهران، ایران. | ||
| 2دانشیار، گروه مدیریت، دانشکدۀ علوم اجتماعی و اقتصاد، دانشگاه الزهرا، تهران، ایران. | ||
| 3استادیار، گروه کسبوکار جدید، دانشکدۀ کارآفرینی، دانشگاه تهران، تهران، ایران. | ||
| چکیده | ||
| هدف: این پژوهش با هدف انتخاب مناسبترین استراتژی بازاریابی برای پلتفرمهای ویدئویی، در زمینه مخاطبآوری با استفاده از مدل تصمیمگیری چند معیاره انجام شده است. روش: پژوهش حاضر از منظر هدف کاربردی بوده و با استفاده از روش توصیفی ـ پیمایشی اجرا شده است. در این پژوهش، ابتدا بهمنظور شناسایی استراتژیهای بازاریابی آنلاین و معیارهای سنجش استراتژیها، از روش کتابخانهای استفاده شده و در ادامه با استفاده از بهکارگیری دو روش BWM و تاپسیس، میزان اهمیت معیارها تعیین و در نهایت استراتژیهای بازاریابی آنلاین رتبهبندی شده است. یافتهها: نتایج حاصل از پژوهش نشان داد که حفظ مخاطب، مهمترین معیار برای ارزیابی استراتژیهای بازاریابی آنلاین، برای پلتفرمهای ویدئویی آنلاین است. همچنین بهکارگیری مدل پیشنهادی نشان داد که بازاریابی محتوایی، مناسبترین استراتژی برای مخاطبآوری پلتفرم ویدئویی آنلاین مورد مطالعه در این پژوهش شناخته شده است. نتیجهگیری: پلتفرمهای ویدئویی آنلاین برای موفقیت خود در زمینه مخاطبآوری، میتوانند با بهکارگیری مدل تصمیمگیری ارائه شده در این پژوهش که شامل معیارها، وزنها و روش تصمیمگیری است، مناسبترین نوع استراتژی بازاریابی آنلاین را انتخاب و بهکار گیرند. | ||
| کلیدواژهها | ||
| استراتژی بازاریابی آنلاین؛ استراتژی جذب و حفظ مخاطب؛ ویدئو به درخواست؛ پلتفرم ویدئویی آنلاین؛ تصمیمگیری چندمعیاره | ||
| عنوان مقاله [English] | ||
| Selection of a Marketing Strategy for an Online Video Platform Using a Multi-Criteria Decision-Making Approach | ||
| نویسندگان [English] | ||
| Zeinab Moloodi1؛ Ameneh Khadivar2؛ Mohammad Reza Amini3 | ||
| 1MSc., Department of Management, Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran. | ||
| 2Associate Prof., Department of Management, Faculty of Social Sciences and Economics, Alzahra University, Tehran, Iran. | ||
| 3Assistant Prof., Department of New Venture Creation Department, Faculty of Entrepreneurship, University of Tehran, Tehran, Iran. | ||
| چکیده [English] | ||
| Objective Marketing strategy determines how an organization will achieve its marketing objectives. Therefore, it is necessary to determine the most appropriate marketing strategy for each business. Online video platforms are no exception. In an age where technology has changed and evolved, online marketing has become essential for businesses in attracting customers. The success of online video platforms is having a large audience. Therefore, these platforms in their industry strive to differentiate themselves from their competitors by adopting effective marketing strategies to attract more viewers. Choosing the wrong marketing strategy leads to the loss of the audience and ultimately the failure of these types of platforms. Based on this, in this research, a model has been tried to choose the most appropriate marketing strategy for online video platforms. The proposed structure is easy to understand and can be used by industry experts of video platforms or other platforms to choose the most suitable marketing strategy. This research, which was conducted for the Amariar video platform, tries to help attract and retain more audiences for this platform and other online video platforms by choosing the most appropriate marketing strategy. This study aims to identify the most suitable marketing strategy for online video platforms in the realm of audience acquisition, utilizing a multi-criteria decision-making (MCDM) model. Research Methodology The research is applied in nature and conducted through a descriptive-survey method. The statistical population of the research includes the experts of Amariar video platform, and finally 10 people were selected through the purposive sampling method. In this research, a questionnaire tool was used to collect data, and its validity was confirmed by experts. Also, to measure the reliability of the questionnaire, the inconsistency coefficient was calculated, and because the inconsistency coefficient was lower than 0.1, it can be said that it has the necessary reliability. Initially, a library-based approach was used to identify online marketing strategies and evaluation criteria, That is, by referring to reputable articles and books related to the research on online marketing strategies and evaluations, the criteria for evaluation can be identified. Subsequently, the Best-Worst Method (BWM) and TOPSIS techniques were employed to determine the importance of the criteria and rank the online marketing strategies. Findings After extensive studies of previous literature, online marketing strategies identified are content marketing, social media marketing, search engine marketing, personalization based on data, interactive marketing and email marketing. Also, the criteria identified are audience retention, audience attraction, technology infrastructure needs, alignment with the organization's strategy, alignment with the organization's culture, competency of human resources, sales revenue, cost, and return on investment. The results of using the BWM method showed that audience retention with a weight of 0.187 was the most important criterion and audience access with a weight of 0.045 was recognized as the least important criterion for evaluating online marketing strategies. Also, other criteria were ranked according to audience attraction, alignment with the organization's strategy, competence of human resources, rate of return on investment, the amount of technology infrastructure needed, amount of sales revenue, alignment with the organization's culture, and the amount of cost. Also, the results of applying the TOPSIS method also showed that the content marketing strategy with the highest CL, which is the closest option to the ideal answer, is the most suitable online marketing strategy for Amariar video platform and email marketing with the lowest CL value, which is the most distant from the ideal answer, is the most inappropriate. Other marketing strategies were ranked in the order of data-based personalization, search engine marketing, social media marketing, interactive marketing, and email marketing. Discussion & Conclusion Considering that most of the previous studies emphasized on maintaining the audience of the video platform, therefore, the results of this research confirm the fact that maintaining the audience is the most important criterion for evaluating marketing strategies. Also, the results of the survey of previous studies showed that the content for the audience is the most important principle for choosing a video platform, as the results of the present study showed that through content marketing, it is possible to attract and retain many audiences. Online video platforms can enhance their audience acquisition efforts by utilizing the decision-making model presented in this research—which includes defined criteria, weights, and evaluation methods—to select and implement the most appropriate online marketing strategy. | ||
| کلیدواژهها [English] | ||
| Online marketing strategy, Audience acquisition and retention strategy, Video-on-Demand, online video platform, Multi-criteria decision making | ||
| مراجع | ||
|
جامیپور، مونا؛ جعفری، سید محمدباقر؛ حسینزاده، مهناز و سلیمانی، اقدس (1399). شناسایی عوامل مؤثر بر همراستایی استراتژیک بازاریابی با فناوری. نشریه علمی مطالعات مدیریت کسبوکار هوشمند، 9(33)، 287-322.
جلیلوند خسروی، مسعود؛ مقصودی، مهرداد و صلواتیان، سیاوش (1399). شناسایی و دستهبندی کاربران پلتفرمهای تماشای برخط فیلم بهکمک تکنیک تحلیل شبکه اجتماعی (مطالعه موردی: سینما مارکت). فصلنامه علمی تحقیقات بازاریابی نوین، 11(4)، 1-20.
خجسته باقرزاده، حسن؛ بردبار، ملیکا و عقیلی، سیدوحید (1397). آینده مصرف رسانهای مخاطبان: مطالعه موردی با روش دلفی. مطالعات فرهنگ ـ ارتباطات، 19(43)، 83-106.
خلفی، امیر؛ خواجهئیان، داتیس و بدیعزاده، علی (1397). توسعه کارآفرینی رسانهای سازمانی با استفاده از درگیرسازی مخاطب در پلتفرمهای اجتماعی. فصلنامه مطالعات رسانهای، 14(44)، 59-69.
خواجه ئیان، داتیس؛ امیدی، افشین و نوروزی، اسمائیل (1398). درگیرسازی مخاطب در رسانهها: ارائۀ چارچوبی مفهومی. فصلنامه رسانه، 30(3)، 47-69.
میرزا نورعلی، فاطمه؛ خواجهئیان، داتیس و حاجی حیدری، نسترن (1401). امکانمندیهای پلتفرمهای رسانههای اجتماعی در درگیرسازی کاربران. بررسیهای مدیریت رسانه، 1(1)، 4-29.
References Ago, G., Bayu, B., Hierdawati, T., Gani, I. & Sucandrawati, N. (2023). Selection of marketing strategies through online marketing platforms for MSME. Jurnal Ekonomi, 12(1), 874-878. AlSurmi, A., Cao, G. & Duan, Y. (2019). Data of the impact of aligning business, i and marketing strategies on firm performance. Industrial Marketing Managemen, 84, 39-49. Khalafi, A., Khajeheian, D. & Badizadeh, A. (2019). Media entrepreneurship in industrial organizations: Customer clubs as audience engagement platforms, Journal of Media Studies, 14(44), 59-69. (in Persian) Arvidsson, A. & Bonini, T. (2014). Valuing audience passions From Smythe to TardeI. European Journal of Cultural Studies, 18(2), 158–173. doi:https://doi.org/10.1177/1367549414563297 Cha, J. & Chan-Olmsted, S. (2012). Relative advantages of online video platforms and television according to content, technology, and cost– related attributes. Open jornal systems, 17(10). doi:https://doi.org/10.5210/fm.v17i10.4049 Chen, L., Zhou, Y. & Ming Chiu, D. (2014). A study of user behavior in online VoD service. Computer Communications, 46(15), 66-75. doi:https://doi.org/10.1016/j.comcom.2014.01.009 Dawalibi, A., H. Al-Dali, I. & Alkhayyal, B. (2020). Best marketing strategy selection using fractional factorial design with analytic hierarchy process. Journal Pre-proof, 7. doi:https://doi.org/10.1016/j.mex.2020.100927 Day, X. & Wang, J. (2023). Effect of online video infotainment on audience attention. Humanitles and social sciences comunications, 421. doi: https://doi.org/10.7910/DVN/6LTC3I Gao, Y. (2010). Measuring marketing performance: A review and a framework. The Marketing Review, 10(1), 25-40. Gilardi, F., Lam, C., Tan, K., White, A., Shuxin, S. & Zhao, Y. (2018). International TV series distribution on Chinese digital platforms: Marketing strategies and audience engagement. Global Media and China, 3(3), 213-230. doi:https://doi.org/10.1177/2059436418806406 Herhausen, D., Miočević, D., Morgan, R. & Kleijnen, M. (2020). The digital marketing capabilities gap. Industrial Marketing Management, 90, 276-290. doi: https://doi.org/10.1016/j.indmarman.2020.07.022 Hyung Jo, J., Hee Lee, J. & Cho, S. (2020). The characteristics of videos on demand for television programs and the determinants of their viewing patterns: Evidence from the Korean IPTV market. Telecommunications Policy, 44(8). doi: https://doi.org/10.1016/j.telpol.2020.102001 Jalilvand Khosravi, M., Maghsoudi, M. & Salavatian, S. (2022). Identifying and clustering users of VOD platforms using SNA Technique: A case study of Cinemamarket. New Marketing Research Journal, 11(4), 20-1. (in Persian) Jomipour, M., Jafari, S.M.B., Hosseinzadeh, M. & Soleimani, A. (2020). Identifying the effective factors of strategic alignment of marketing with Information Technology (IT) in Organizations. Business Intelligence Management Studies, 9(33), 287-322. doi: 10.22054/IMS.2020.46521.1592 (in Persian) Jose Zanon, C., Gomes Alves Filho, A., Jose Chiappetta Jabbour, C. & Lopes de Sousa Jabbour, A. (2013). Alignment of operations strategy: exploring the marketing interface. Industrial Management & Data Systems, 113(2), 207-233. doi:https://doi.org/10.1108/02635571311303541 Khajeheian, D., Omidi, A. & Norouzi, E. (2019). Audience engagement of media: Presenting a conceptual framework. Rasaneh, 30(3), 47-69. (in Persian) Khojasteh, H., Bordbar, M. & Aghili, S. V. (2018). The future of media consumption: A Delphi case study. Journal of Culture-Communication Studies, 19(43), 83-106. doi: 10.22083/jccs.2018.142894.2524 (in Persian) Koul, S. & Suresh Ambekar, S. (2020). Determination and ranking of factors that are important in selecting an over-the-top video platform service among millennial consumers. International Journal of Innovation Science, 13(1), 53-66. doi:http://dx.doi.org/10.1108/IJIS-09-2020-0174 Kumar Mandal, G., Diroma, F. & Jain, P. (2017). Netflix: An in-depth study of their proactive & adaptive strategies to drive growthand deal with issues of net-neutrality & digital equity. International Journal of Management & Social Sciences, 8(2), 152-161. doi:https://dx.doi.org/10.21013/jmss.v8.n2.p3 Li, W., Jiang, M. & Zhan, W. (2022). Research on the pricing decisions of a video platform based on interaction. Systems Practice in Social Science, 10(5), 192. doi:https://doi.org/10.3390/systems10050192 Martínez Caro, E., Cegarra Navarro, J. & Alfonso Ruizc, F. (2020). Digital technologies and firm performance: The role of digital organisational culture. Technological Forecasting & Social Change, 173. doi:https://doi.org/10.1016/j.techfore.2021.121178 Martínez-Caro, E., Cegarra-Navarro, J. & Alfonso-Ruizc, F. (2020). Digital technologies and firm performance: The role of digital organisational culture. Technological Forecasting & Social Change, 173. doi:https://doi.org/10.1016/j.techfore.2021.121178 Melovic, B., Dabic, M., Vukcevic, M., Cirovic, D. & Backovic, T. (2021). Strategic business decision making: the use and relevance of marketing metrics and knowledgez management. Journal of Knowledge Management, 25(11), 175-202. Mikos, L. (2016). Digital media platforms and the use of TV content: Binge watching and video-on-demand in Germany. Media and Communication, 4(3), 154-161. doi:http://dx.doi.org/10.17645/mac.v4i3.542 Milichovsky, F. & Simberova, I. (2015). Marketing effectiveness: Metrics for effective strategic marketing. Inzinerine Ekonomika-Engineering Economics, 26(2), 211-219. Mirzanoorali, F., Khajeheian, D. & Hajiheidari, N. (2022). Investigating the effect of social media platform affordances on user engagement. Media Management Review, 1(1), 4-29. doi: 10.22059/mmr.2022.87863 (in Persian) Noori Hussain, H., Alabdullah, T., Ries Ahmed, E. & Jamal Kanaan, A. (2023). Implementing technology for competitive advantage in digital marketing. International Journal of Scientific and Management Research, 6(6), 95-114. doi:http://doi.org/10.37502/IJSMR.2023.6607 Olson, E., Olson, K. & Czaplewski, A. (2021). Business strategy and the management of digital marketing. Business Horizons, 64(2), 285-293. doi:https://doi.org/10.1016/j.bushor.2020.12.004 Pandey, N., Nayal, P. & Singh Rathore, A. (2020). Digital marketing for B2B organizations: structured literature review and future research directions. Journal of Business & Industrial Marketing, 35(7), 1191–1204. doi:1191–1204. https://doi.org/10.1108/JBIM-06-2019-0283 Portilla, I. & Medina, M. (2016). Monetization strategies and audience data for online video: The case of Atresmedia. Quaderns DEL CAC, 27-36. Rahe, V., Buschow, C. & Schlütz, D. (2020). How users approach novel media products: Brand perception of Netflix and Amazon Prime video as signposts within the German subscription-based video-on-demand market. JournAal of Media Business Studies, 18(1), 45-58. doi:https://doi.org/10.1080/16522354.2020.1780067 Rezaei, J. (2015). Best-worst multi-criteria decision-making method: Business Horizons, 57(6), 703-708. Rong, K., Xiao, F., Zhang, X. & Wang, G. (2019). Platform strategies and user stickiness in the online video industry. Technological Forecasting & Social Change, 143, 249-259. Roy, P. & Shaw, K. (2021). A multicriteria credit scoring model for SMEs using hybrid BWM and TOPSIS. Financial Innovation, 7(77). Saura', J. (2021). Using data sciences in digital marketing: Framework, methods, and performance metrics. Journal of Innovation and Knowledg, 6(2), 92-102. doi: https://doi.org/10.1016/j.jik.2020.08.001 Saura, J., Palos Sánchez, P. & Cerdá Suárez, L. (2017). Understanding the digital marketing environment with KPIs and web analytics. Future Internet, 38(4), 76. doi:https://doi.org/10.1016/j.ijresmar.2020.09.005 Shao, Z. (2019). Interaction effect of strategic leadership behaviors and organizational culture on IS-Business strategic alignment and Enterprise Systems assimilation. International Journal of Information Management, 44, 96-108. doi:https://doi.org/10.1016/j.ijinfomgt.2018.09.010 Sridhar, S., Naik, P. & Kelkar, A. (2017). Metrics unreliability and marketing overspending. International Journal of Research in Marketing, 34(4), 761-779. doi:https://doi.org/10.1016/j.ijresmar.2017.09.001 Steffiani, R. & Irwansyah, I. (2021). Fragmentation and audience activity on Video-on-Demand platform: Netflix and the ‘Binge-watching’. Jurnal InterAct, 9(2), 120-132. doi:https://doi.org/10.25170/interact.v9i2.2235 Tang, W. & Wei, M. (2023). Streaming media business strategies and audience-centered practices: a comparative study of Netflix and Tencent Video. Online Media Glob, 2(1), 3-24. Tiago, M. & Verıssimo, J. (2014). Digital marketing and social media: Why bother? Business Horizons, 57(6), 703-708. doi: https://doi.org/10.1016/j.bushor.2014.07.002 Travassos Rosário, A. & Carmo Dias, J. (2022). Marketing strategies on social media platforms. International Journal of E-Business Research, 19(1), 25. doi:https://doi.org/10.4018/IJEBR.316969 Yuan, L., Xia, H. & Ye, Q. (2022). The effect of advertising strategies on a short video platform: evidence from TikTok. Industrial Management & Data Systems, 122(8), 1956-1974. Zahay, D. & Griffin, A. (2010). Marketing strategy selection, marketing metrics, and firm performance. Journal of Business & Industrial Marketing, 25(2), 84-93. doi:https://doi.org/10.1108/08858621011017714 | ||
|
آمار تعداد مشاهده مقاله: 190 تعداد دریافت فایل اصل مقاله: 172 |
||