فصلنامه مطالعات مدیریت راهبردی

فصلنامه مطالعات مدیریت راهبردی

تاثیر نویزهای محیطی بر قصد خرید مصرف کننده در بازاریابی رسانه‌های اجتماعی

نوع مقاله : پژوهشی

نویسندگان
1 گروه مدیریت بازرگانی، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران
2 استاد، دانشکده مدی ریت و حسابداری، دانشگاه شهید بهشتی، تهران، ایران
3 استادیار، گروه مدیریت بازرگانی، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران
چکیده
با توجه به اینکه شناخت تمایل به خرید و مصرف شرطی مهم و اساسی در رونق کسب‌وکارها و بنگاه‌های اقتصادی است، هدف این پژوهش بررسی تاثیر نویزهای محیطی، همانند: نوع و ارزش محصول، محتوا و نحوه طراحی پیام بر قصد و رفتار خرید مشتریان در بازاریابی رسانه‌های اجتماعی می‌باشد. این تحقیق از بعد هدف کاربردی بوده و از لحاظ رویکرد تحقیق ابتدا کیفی و پس از آن کمی و دارای استراتژی توصیفی پیمایشی می‌باشد. جامعه آماری این تحقیق شامل کلیه‌ی مشتریان فروشگاه‌های مواد غذایی تهران بوده و نمونه آماری این تحقیق شامل 384 نفر از مشتریانی بوده است که در زمان انجام تحقیق قصد خرید مواد غذایی از فروشگاه داشتند. ابزار گردآوری داده‌ها پرسشنامه می‌باشد و برای تجزیه‌و تحلیل داده‌ها از مدل معادلات ساختاری با نرم‌افزار Smart PLS استفاده شد. نتایج این تحقیق نشان می‌دهد که نویزهای محیطی، همانند: نوع و ارزش محصول، محتوا و نحوه طراحی پیام اثر مثبت و معناداری بر رفتار مصرف‌کننده دارند، همچنین متغیرهای محتوا و نحوه طراحی پیام، نوع و ارزش محصول اثر مثبت و معناداری بر قصد خرید دارند ولی برخلاف تحقیقات انجام یافته متغیر پیام‌های ترغیب‌کننده اثر منفی بر قصد خرید دارد. رفتار مصرف‌کننده نیز اثر مثبت و معناداری بر قصد خرید دارد. نقش میانجی متغیر رفتار مصرف‌کننده برای روابط نوع و ارزش محصول و محتوا و نحوه طراحی پیام با قصد خرید مشتریان مورد تایید قرار گرفت.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

The impact of environmental noise in social media marketing

نویسندگان English

Fatemeh Khajehfini 1
Mohammadreza Hamidizadeh 2
Abdollah Naami 3
Fataneh Alizadeh Meshkani 3
1 , Department of Business management, South Tehran Branch, Islamic Azad University, Tehran,Iran.
2 Professor, Department of business management, Shahid Beheshti University, Tehran, Iran
3 Assistant Professor, Department of Business management, South Tehran Branch, Islamic Azad University, Tehran, Iran
چکیده English

  Introduction
  Consumer behavior has been one of the most important topics of attention of marketing researchers in recent decades. The variety and variety of consumer behavior is due to the variety of factors affecting individual behavior and individual motivation to buy. In the new business, Internet marketing is considered an important part of the marketing activities of any business name. In fact, with the emergence of virtual organizations, Internet marketing has become a basic need for the possibility of movement and continued development. One of the communication tools in today's business world is social media. Considering that the existence of marketing is dependent on the environment, this research has been conducted with the aim of how environmental noise affects the consumer's purchase intention in social media marketing. Considering that in the last three years, the desire of consumers to buy from social networks has increased in the conditions of the Covid pandemic, and since marketers are looking to shape the consumer's decision in a dynamic and competitive environment, and considering the increase and variety of advertisements and the ever-increasing progress The methods of presenting and introducing products in social media marketing systems, the main problem of this research can be expressed as follows: How will marketing signals be effective in the social media environment? What factors affect the intention of customers to buy food in the social media environment? Which environmental factors affect consumer behavior in social media space?

Methodology

This research is practical in terms of its objective, and in terms of the quantitative research approach, it has a descriptive survey strategy. The statistical population of this research includes all the customers of food stores in Tehran, and the statistical sample of this research includes 302 customers who were planning to buy food from the store at the time of the research. The data collection tool is a questionnaire and a structural equation model with Smart PLS software was used for data analysis. The results of this research show that the variables of persuasive message signals, the type and value of the product, and the content and the way the message is designed have a positive and significant effect on consumer behavior, as well as the variables of the content and the way the message is designed and the type and value of the product have a positive and significant effect on purchase intention, but contrary to the conducted research, the variable of persuasive messages has a negative effect on the purchase intention.

Results and Discussion

Purchase intention shows the probability of customers buying, according to Schiffman and Canuck, the decision to buy a product (purchase intention) largely depends on the value of the product and the recommendation of other consumers. For example, when a product is shared in the social space, users share and discuss the features of that product, and the positive or negative points presented about that product lead to the intention to buy or not to buy that product. Social media are increasingly accessible to everyone and such media are used at all times and places. These media have emerged as a digital communication channel through which consumers can purchase their desired brands and they evaluate them and through these media, they share their information with others and communicate with brands (a significant percentage of people transmit information to others through social media. Also, social media is one of the channels It has been reported that consumers receive information about the goods or services they need in order to make a final purchase through these social media; therefore, companies are trying to understand the purchase intention, drivers, and also the effect of social media on these factors. Considering that knowledge of purchase intention and consumption is an important and fundamental condition for the prosperity of businesses and economic enterprises, the purpose of this research is to investigate the effect of persuasive message signals, the type and value of the product, the content and the way the message is designed on the intention and the buying behavior of customers is evaluated by evaluating the mediating effect of consumer behavior in social media marketing.

Conclusion

Consumer behavior also has a positive and significant effect on purchase intention. The mediating role of consumer behavior variable was confirmed for the relationship between the type and value of product and content and message design with customers' purchase intention.

It is very difficult to measure consumer behavior according to cultural and religious patterns. Due to the economic situation and the increase in prices, most consumers prioritize economic savings over other factors. In this regard, it is suggested that researchers investigate the impact of pricing methods on consumer behavior in social media marketing in future research.

 

کلیدواژه‌ها English

Message
Social media marketing
Purchase intent
Noise and message signals
  1. Ahmadnejad Masti, A., Heidarzadeh Hanzaee, K., & Lotfizadeh, F. (2022). The Impact of Social Media Advertising Features on Costumer Purchase Intention. Jounal of Marketing Management, 17(55), 1-15, https://doi.org/10.30495/jomm.2022.19511
  2. Alalwan, A. A., Rana, N. P., Dwivedi, Y. K., & Algharabat, R. (2017). Social media in marketing: A review and analysis of the existing literature. Telematics and informatics, 34(7), 1177-1190, https://doi.org/10.1016/j.tele.2017.05.008
  3. Babaei Meybodi, H., Konjkav Monfared, A. R., & Karimi, E. (2019). The Impact of Using celebrities in TV advertisement on Attitude and Purchase Intent of Audience. Quarterly Scientific Journal of Audio-Visual Media, 13(30), 253-277, https://doi.org/10.22085/javm.2019.173306.1256
  4. Balaji, M. S., Jiang, Y., & Jha, S. (2021). Nanoinfluencer marketing: How message features affect credibility and behavioral intentions. Journal of Business Research, 136, 293-304, https://doi.org/10.1016/j.jbusres.2021.07.049
  5. Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182, https://doi.org/10.1037/0022-3514.51.6.1173
  6. Bazi, S., Filieri, R., & Gorton, M. (2020). Customers’ motivation to engage with luxury brands on social media. Journal of Business Research, 112, 223-235, https://doi.org/10.1016/j.jbusres.2020.02.032
  7. Chawla, Y., & Chodak, G. (2021). Social media marketing for businesses: Organic promotions of web-links on Facebook. Journal of Business Research, 135, 49-65, https://doi.org/10.1016/j.jbusres.2021.06.020
  8. David Lee, J., Bahl, A., Black, G. S., Duber-Smith, D. C., & Vowles, N. S. (2016). Sustainable and non-sustainable consumer behavior in young adults. Young Consumers, 17(1), 78-93, http://dx.doi.org/10.1108/YC-08-2015-00548
  9. Dehghani, M., & Tumer, M. (2015). A research on effectiveness of Facebook advertising on enhancing purchase intention of consumers. Computers in human behavior, 49, 597-600, https://psycnet.apa.org/doi/10.1016/j.chb.2015.03.051
  10. Delafrooz, N., Farokhbakht Foomani, A., & Khosravi, M.R. ().Specifying the Social Media Usage among Insurance Companies, Agents and Clients (insured)’ Interactions (Case study: Iran Insurance Co.). Journal of Business Management, 9(2), 271-294, https://doi.org/10.22059/jibm.2017.60341
  11. Fini, K. (2023). Designing a model and validating the effect of message on purchase intention in social media marketing. Islamic Azad University, Tehran South Branch, 115–135.
  12. Ghafourian Shagerdi, A., Daneshmand, B., & Behboodi, O. (2017). The impact of social networks marketing toward purchase intention and brand loyalty. New Marketing Research Journal, 7(3), 175-190, https://doi.org/10.22108/nmrj.2018.89511.0
  13. Gruzd, A., Paulin, D., & Haythornthwaite, C. (2016). Analyzing social media and learning through content and social network analysis: A faceted methodological approach. Journal of Learning Analytics, 3(3), 46-71, https://doi.org/10.18608/jla.2016.33.4
  14. Ha, S., Huang, R., & Park, J. S. (2019). Persuasive brand messages in social media: A mental imagery processing perspective. Journal of Retailing and Consumer Services, 48, 41-49, https://doi.org/10.1016/j.jretconser.2019.01.006
  15. Halldórsson, Á., Hsuan, J., & Kotzab, H. (2015). Complementary theories to supply chain management revisited–from borrowing theories to theorizing. Supply Chain Management: An International Journal, 20(6), 574-586, https://doi.org/10.1108/SCM-06-2015-0228
  16. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43, 115-135, https://doi.org/10.1007/s11747-014-0403-8
  17. Kanani, N., & Shekarchizadeh, A. R. (2015). Presenting a methodology for extracting export strategies of Iranian food and beverage companies. First international conference on management and economic in urban development, Tabriz, Iran.
  18. Khanifar, H., Soltani Nejad, N., & Rashid, A. A. (2021). The Impact of Cause-Related Marketing on Consumer Purchasing Intent: A Case Study of Tak Marakron Consumers. Organizational Culture Management, 19(1), 1-24, https://doi.org/10.22059/jomc.2019.200799.1006752
  19. Kim, A. J., & Ko, E. (2012). Do social media marketing activities enhance customer equity? An empirical study of luxury fashion brand. Journal of Business research, 65(10), 1480-1486, https://doi.org/10.1016/j.jbusres.2011.10.014
  20. Kotler, P., & Keller, K. L. (2006). Marketing management 12e. New Jersey.
  21. Maniyan, A., Runaghi, M.H., Suhrabi, B., Mohamadiyan, M., & Amiri, M.. (2015). A framework for e-marketing implementation by interpretive approach in beverage industry. journal of the faculty of humanities and social sciences, 7(14), 135-153, https://sid.ir/paper/150850/en
  22. Masuda, H., Han, S. H., & Lee, J. (2022). Impacts of influencer attributes on purchase intentions in social media influencer marketing: Mediating roles of characterizations. Technological Forecasting and Social Change, 174, 121246, https://doi.org/10.1016/j.techfore.2021.121246
  23. Moradi, M., Kheiry, B., & Miralmasi, A. (2022). Narrative Criticism of Positivist Researches of Humanities from the Point of View of Generalizability and Reliability of Measures with the Suggestion of Replacing McDonald's Omega (Case Study: Marketing Researches). Methodology of Social Sciences and Humanities, 28(113), 65-80, https://doi.org/10.30471/mssh.2022.8241.2285
  24. Paonessa, S. (2021). Reducing Signal Noise in Practice. Precision Digital.[Online]. Available: https://www. predig. com/whitepaper/reducing-signal-noise-practice.[Accessed: 01-Jan-2021].
  25. 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.
  26. Shahri Mejarshin, A., Rousta, A., & Naami, A. (2021). Designing and explaining the final purchasing model with the financial risk and investment approach Significance-Performance (IPMA). Journal of Investment Knowledge, 10(39), 585-608, https://jik.srbiau.ac.ir/article_17606.html?lang=en
  27. Shareef, M. A., Mukerji, B., Alryalat, M. A. A., Wright, A., & Dwivedi, Y. K. (2018). Advertisements on Facebook: Identifying the persuasive elements in the development of positive attitudes in consumers. Journal of Retailing and Consumer Services, 43, 258-268, https://doi.org/10.1016/j.jretconser.2018.04.006
  28. Sokolova, K., & Kefi, H. (2020). Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions. Journal of retailing and consumer services, 53, 101742, https://doi.org/10.1016/j.jretconser.2019.01.011
  29. Štefko, R., Fedorko, R., & Bačík, R. (2015). The role of e-marketing tools in constructing the image of a higher education institution. Procedia-Social and Behavioral Sciences, 175, 431-438, https://doi.org/10.1016/j.sbspro.2015.01.1220
  30. Tenenhaus, M., Tenenhaus, A., & Groenen, P. J. (2017). Regularized generalized canonical correlation analysis: a framework for sequential multiblock component methods. Psychometrika, 82(3), 737-777, https://doi.org/10.1007/s11336-017-9573-x
دوره 15، شماره 57
بهار 1403
صفحه 157-179

  • تاریخ دریافت 12 شهریور 1402
  • تاریخ بازنگری 23 مهر 1402
  • تاریخ پذیرش 06 آذر 1402