الگوی راهبردی بازاریابی مبتنی بر ارزش های پیشنهادی برنامه های کاربردی مذهبی تلفن همراه
محورهای موضوعی : پژوهش های مدیریت راهبردی
زهره دشتی شاهرخ
1
(
استاد گروه مدیریت بازرگانی، دانشگاه علامه طباطبائی، تهران، ایران
)
وحید خاشعی
2
(
دانشیار گروه مدیریت بازرگانی، دانشگاه علامه طباطبائی، تهران، ایران
)
سید سروش قاضی نوری
3
(
دانشیار گروه مدیریت فناوری و کارافرینی، دانشگاه علامه طباطبائی، تهران، ایران
)
امیر اصلانی افراشته
4
(
دانشجوی دکتری رشته مدیریت بازرگانی، دانشگاه علامه طباطبائی، تهران، ایران
)
کلید واژه: بازاریابی, مذهب, ارزش های پیشنهادی, برنامه های کاربردی تلفن همراه مذهبی,
چکیده مقاله :
هدف از پژوهش حاضر ارایه الگویی راهبردی برای بازاریابی مبتنی بر ارزش های پیشنهادی در برنامه های کاربردی مذهبی تلفن همراه است. روش تحقیق داده بنیاد، داده ها با مصاحبه عمیق نیمه ساختاریافته جمع آوری و جامعه هدف از بین بنیان گذاران و فعالان اجرایی برنامه های کاربردی مذهبی تلفن همراه و پژوهشگران بازاریابی در حوزه ی بازاریابی کسب و کارهای مذهبی، می باشد. روش نمونه گیری گلوله برفی است که پس از 15 مصاحبه اشباع نظری حاصل گردید. تجزیه و تحلیل داده ها در سه مرحله کدگذاری باز، محوری و انتخابی انجام شد. نتایج نشان داد مقوله محوری ارزش های پیشنهادی ( اقتصادی، اجتماعی، کاربردی، مذهبی، اطلاعاتی، شناختی، احساسی، ارتباطی) تحت تاثیر عوامل علی ( عوامل نگرشی در مخاطبان مذهبی، عوامل رقابتی در بازار برنامه های کاربردی مذهبی، عوامل رفتاری در استفاده کنندگان از برنامه های کاربردی مذهبی و عوامل فنی برنامه های کاربردی مذهبی) است. همچنین الگوی بازاریابی توسط راهبردهای (بازاریابی محتوایی ( ایده، خلق و توزیع محتوای مذهبی)، طراحی و تولید برنامه های کاربردی مذهبی، قیمت گذاری و درامدی برنامه های کاربردی مذهبی، فروش سازمانی در برنامه کاربردی مذهبی و راهبردهای ارتباطی با کاربران برنامه های کاربردی مذهبی، بهینه سازی عملکرد در فضای دیجیتال، تحقیقات بازار و شناسایی رفتار مصرف کنندگان مذهبی)، عوامل زمینه ای ( عوامل مرتبط با محصول، عوامل مرتبط با رفتار کاربران، عوامل مرتبط با نهادها، عوامل مرتبط با بازار و عوامل سازمانی)، عوامل مداخله گر ( عوامل قانونی و ممیزی، فنی، اجتماعی و فرهنگی، سیاسی)، و پیامدها در چهار سطح پیامدهای (فردی، سازمانی، ملی و فراملی) تحقق می یابد.
The aim of the current research is to provide a strategic model for marketing based on proposed values in religious mobile phone applications. Based on Grounded theory research method, the data is collected through in-depth semi-structured interviews and the target community is among founders and executives of religious mobile applications and marketing researchers in the field of religious business marketing. The sampling method is snowball, which reached theoretical saturation after 15 interviews. Data analysis was done in three stages of open, central and selective coding. The results showed that the core category of proposed values (economic, social, functional, religious, informational, cognitive, emotional, communication) is influenced by causal factors (attitudinal factors in religious audiences, competitive factors in the market of religious applications, behavioral factors in users of religious applications and technical factors of religious applications). Also, the marketing model by strategies (content marketing (idea, creation and distribution of religious content), design and production of religious applications, pricing and revenue of religious applications, organizational sales in religious applications and communication strategies with users of religious applications , optimization of performance in the digital space, market research and identifying the behavior of religious consumers), contextual factors (factors related to the product, factors related to user behavior, factors related to institutions, factors related to the market and organizational factors), intervening factors (legal and audit factors, technical, social and cultural, political), and the consequences are realized at four levels of consequences (individual, organizational, national and transnational).
الوانی، مهدی؛ عادل، آذر؛ دانایی‌فرد، حسن (1390). روش‌شناسی پژوهش کیفی در مدیریت: رویکردی جامع، تهران: انتشارات اشراقی.
ترکانلو، زهره؛ موغلی، علیرضا؛ احمدی، علی‌اکبر؛ جمشیدی، علی (1401). طراحی و تبیین مدل راهبردی سازمان کامیاب، پژوهش‌های مدیریت راهبردی، 28 (84): 98-73.
درویش متولی، محمدحسین؛ جویباری، آزیتا؛ سلوکی، محمدصادق (1400). تأثیر گرایش کیفیت استراتژیک بر رشد پایدار کسب‌وکار در شرکت‌های فناور و نوظهور با توجه به نقش قابلیت‌های نوآوری، پژوهش‌های مدیریت راهبردی، 27 (83): 134-103.
عربیون، ابوالقاسم؛ عبدالله زاده، غلامحسین؛ شریف‌زاده، محمد شریف (1394). تحلیل محتوای پژوهش‌های کارآفرینی در ایران، پژوهش‌های مدیریت منابع انسانی دانشگاه جامع امام حسین، 2(20): 79-103.
فانی، مجید؛ جلالی، مهدی؛ وهاب‌زاده، شادان (1399). ارائه مدل راهبردی تحلیل‌های مبتنی بر وب جهت سنجش عملکرد و بهینه‌سازی بازاریابی دیجیتال شرکت‌های تحت وب، پژوهش‌های مدیریت راهبردی، 26 (78): 169-149.
Aaker, J., Fournier, S. & Brasel, S. A. (2004). When good brands do bad. Journal of Consumer research, 31(1), 1-16.
Alnawas, I. & Aburub, F. (2016). The effect of benefits generated from interacting with branded mobile apps on consumer satisfaction and purchase intentions. Journal of Retailing and Consumer Services, 31, 313-322.
Anderson, J. C., Narus, J. A. & Van Rossum, W. (2006). Customer value propositions in business markets. Harvard business review, 84, 1-4.
Apptentive (2017). Spotlight on consumer app usage. http://files.appannie.com.s3.amazonaws.com/reports/1705_Report_Consumer_App_Usage_EN.pdf.
Aspara, F. (2009). ‘Stock ownership as a motivation of brand-loyal and brand-supportive behaviors’, Journal of Consumer Marketing, Vol. 26, No. 6, pp.427–436.
- Ballantyne, D., Frow, P., Varey, R. J. & Payne, A. (2011). Value propositions as communication practice: Taking a wider view. Industrial Marketing Management, 40(2), 202-210.
- Bellman, S., Potter, R. F., Treleaven-Hassard, S., Robinson, J. A. & Varan, D. (2011). The effectiveness of branded mobile phone apps. Journal of interactive Marketing, 25(4), 191-200.
Berman, S.J. (2012). Digital transformation: opportunities to create new business models. Strategy & Leadership, 40(2), 16-24.
Biga Diambeidou, M. & Gailly, B. (2011). A taxonomy of the early growth of Belgian start-ups. Journal of Small Business and Enterprise Development, 18(2), 194-218.
Bilgihan, A., Kandampully, J. & Zhang, T. (2015). Towards a unified customer experience in online shopping environments- Antecedents and outcomes. International Journal of Quality and Service Sciences, 8(1), 102–119.
Bosch, J., Olsson, H.H., Björk, J. & Ljungblad, J. (2013). The early stage software startup development model: a framework for operationalizing lean principles in software startups. In Lean Enterprise Software and Systems (pp. 1-15). Springer, Berlin, Heidelberg.
Cant, M. (2012). Challenges faced by SMEs in South Africa: Are marketing skills needed? International Business & Economics Research Journal (IBER), 11(10), 1107-1116.
Chang, E.C. & Tseng, Y.F. (2013). Research note: E-store image, perceived value and perceived risk. Journal of business research, 66(7), 864-870.
Chorley, M.J., Whitaker, R.M. & Allen, S.M. (2015). Personality and location-based social networks. Computers in Human Behavior, 46, 45-56.
Coşgel, M.M. & Minkler, L. (2004). Religious identity and consumption. Review of Social Economy, 62(3), 339-350.
D'Avino, M., De Simone, V., Iannucci, M. & Schiraldi, M.M. (2015). Guidelines for e-Startup promotion strategy. Journal of technology management & innovation, 10(1), 1-16.
Delener, N. (1990). The effects of religious factors on perceived risk in durable goods purchase decisions. Journal of Consumer Marketing. 7(3), 27-38
Foroudi, P., Gupta, S., Sivarajah, U. & Broderick, A. (2018). Investigating the effects of smart technology on customer dynamics and customer experience. Computers in Human Behavior, 80, 271-282.
Frey, R.M., Xu, R. & Ilic, A. (2017). Mobile app adoption in different life stages: An empirical analysis. Pervasive and Mobile computing, 40, 512-527.
Garg, R. & Telang, R. (2013). Inferring app demand from publicly available data. MIS Quarterly, 1253-1264.
Gounaris, S., Dimitriadis, S. & Stathakopoulos, V. (2005). Antecedents of perceived quality in the context of Internet retail stores. Journal of Marketing Management, 21(7-8), 669-700.
Hsiao, C.H., Chang, J.J. & Tang, K.Y. (2016). Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives. Telematics and Informatics, 33(2), 342-355.
Hsu, C.L. & Lin, J.C.C. (2016). Effect of perceived value and social influences on mobile app stickiness and in-app purchase intention. Technological Forecasting and Social Change, 108, 42-53.
Huyghebaert, N., Van de Gucht, L. & Van Hulle, C. (2007). The choice between bank debt and trace credit in business start-ups. Small Business Economics, 29(4), 435-452.
Kang, J.Y.M., Mun, J. M. & Johnson, K.K. (2015). In-store mobile usage: Downloading and usage intention toward mobile location-based retail apps. Computers in Human Behavior, 46, 210-217.
Karaosmanoglu, E., Isiksal, D.G. & Altinigne, N. (2018). Corporate brand transgression and punishing the transgressor: moderation of religious orientation. Journal of Product & Brand Management, 27(2), 221-234.
Keller, K.L., Parameswaran, M.G. & Jacob, I. (2011). Strategic brand management: Building, measuring, and managing brand equity. Pearson Education India.
Khodyakov, D. (2007). Trust as a process: A three-dimensional approach. Sociology, 41(1), 115-132.
Kim, C.K., Jun, M., Han, J., Kim, M. & Kim, J. Y. (2013). Antecedents and outcomes of attachment towards smartphone applications. International Journal of Mobile Communications, 11(4), 393-411.
Kim, M. & Kim, J. (2018). The effects of perceived online justice on relational bonds and engagement intention: evidence from an online game community. Computers in Human Behavior, 84, 410-419.
Kim, M., Kim, J.H. & Lennon, S.J. (2006). Online service attributes available on apparel
retail web sites: An E-S-QUAL approach. Managing Service Quality, 16(1), 51–77.
Kim, S.C., Yoon, D. & Han, E.K. (2016). Antecedents of mobile app usage among smartphone users. Journal of marketing communications, 22(6), 653-670.
Klaus, P. (2013). The case of Amazon.com: Towards a conceptual framework of online customer service experience (OCSE) using the emerging consensus technique (ECT). Journal of Services Marketing, 47(6), 433–457
Lam, W. & Harker, M.J. (2015). Marketing and entrepreneurship: An integrated view from the entrepreneur’s perspective. International small business journal, 33(3), 321-348.
Lee, A.S. & Jeong, M. (2010). Effects of e-servcescape on customers flow experiences. Journal of Hospitality and Tourism Technology, 3, 47–59.
Lee, C.H. & Cranage, D. A. (2011). Personalisation–privacy paradox: The effects of personalisation and privacy assurance on customer responses to travel Web sites. Tourism Management, 32(5), 987-994.
Lee, G.G. & Lin, H.F. (2005). Impact of organisational learning and knowledge management factors on e-business adoption. Management Decision, 43(2), 171–188.
Lim, S.L., Bentley, P.J., Kanakam, N., Ishikawa, F. & Honiden, S. (2015). Investigating country differences in mobile app user behavior and challenges for software engineering. IEEE Transactions on Software Engineering, 41(1), 40-64.
Lim, S.L., Bentley, P.J., Kanakam, N., Ishikawa, F. & Honiden, S. (2015). Investigating country differences in mobile app user behavior and challenges for software engineering. IEEE Transactions on Software Engineering, 41(1), 40-64.
Lin, H. H. & Wang, Y.S. (2006). An examination of the determinants of customer loyalty in mobile commerce contexts. Information & management, 43(3), 271-282.
Lin, J., Amini, S., Hong, J.I., Sadeh, N., Lindqvist, J. & Zhang, J. (2012, September). Expectation and purpose: understanding users' mental models of mobile app privacy through crowdsourcing. In Proceedings of the 2012 ACM conference on ubiquitous computing (pp. 501-510). ACM.
Lindič, J. & Marques da Silva, C. (2011). Value proposition as a catalyst for a customer focused innovation. Management Decision, 49(10), 1694-1708.
ocalytics (2017). App user retention improves in the U.S., but declines internationally. http://info.localytics.com/blog/app-user-retention-improves-in-the-us.
oiacono, E.T., Watson, R.T. & Goodhue, D.L. (2002). WebQual: A measure of website quality. Marketing theory and applications, 13(3), 432-438.
Magrath, V. & McCormick, H. (2013). Marketing design elements of mobile fashion retail apps. Journal of Fashion Marketing and Management, 17(1), 115–134.
Markman, G. & Phan, P.H. (Eds.). (2011). the competitive dynamics of entrepreneurial market entry. Edward Elgar Publishing.
Martin, J., Mortimer, G. & Andrews, L. (2015). Re-examining online customer experience to include purchase frequency and perceived risk. Journal of retailing and consumer services, 25, 81-95.
Mathras, D., Cohen, A.B., Mandel, N. & Mick, D.G. (2015). The effects of religion on consumer behavior: A conceptual framework and research agenda. Journal of Consumer Psychology, 26(2), 298-311.
McLean, G. & Wilson, A. (2016). Evolving the online customer experience… is there a role for online customer support? Computers in Human Behavior, 60, 602-610.
- McLean, G., Al-Nabhani, K. & Wilson, A. (2018). Developing a Mobile Applications Customer Experience Model (MACE)-Implications for Retailers. Journal of Business Research, 85, 325-336.
Morris, M.H., Schindehutte, M. & LaForge, R.W. (2002). Entrepreneurial marketing: a construct for integrating emerging entrepreneurship and marketing perspectives. Journal of marketing theory and practice, 10(4), 1-19.
Niselovitch, S. (2011). Technology start-ups: A phenomenological exploration of technology start-up failure in Israel (Doctoral dissertation, University of Phoenix).
Ono, A., Nakamura, A., Okuno, A. & Sumikawa, M. (2012). Consumer motivations in browsing online stores with mobile devices. International Journal of Electronic Commerce, 16(4), 153-178.
Oyedele, A. & Simpson, P. M. (2018). Streaming apps: What consumer’s value. Journal of Retailing and Consumer Services, 41, 296-304
Park, C.W., MacInnis, D.J., Priester, J., Eisingerich, A.B. & Iacobucci, D. (2010). Brand attachment and brand attitude strength: Conceptual and empirical differentiation of two critical brand equity drivers. Journal of marketing, 74(6), 1-17.
Park, K. & Ryu, G. (2011). The impact of word-of-mouth transmission on communicatior's affective responses: the role of word-of-mouth valance and motive'. Journal of Consumer Studies, 22(4), 77-101.
Payne, A., Frow, P. & Eggert, A. (2017). The customer value proposition: evolution, development, and application in marketing. Journal of the Academy of Marketing Science, 45(4), 467-48 9.
Pew Forum (2008). U.S. religious landscape survey. Washington, DC: The Pew Forum on Religion
Pretty, G., Bishop, B., Fisher, A., Sonn, C.)2006(. Psychological sense of community and its relevance to well-being and everyday life in Australia. https://groups.psychology.
Rintamäki, T., Kuusela, H. & Mitronen, L. (2007). Identifying competitive customer value propositions in retailing. Managing Service Quality: An International Journal, 17(6), 621-634.
Rose, S., Clark, M., Samouel, P. & Hair, N. (2012). Online customer experience in e-retailing: an empirical model of antecedents and outcomes. Journal of retailing, 88(2), 308-322.
Rutz, O., Aravindakshan, A. & Rubel, O. (2019). Measuring and forecasting mobile game app engagement. International Journal of Research in Marketing
Ryan, T. & Xenos, S. (2011). Who uses Facebook? An investigation into the relationship between the Big Five, shyness, narcissism, loneliness, and Facebook usage. Computers in human behavior, 27(5), 1658-1664.
Schild, A. (2014). Marketing Activities during the early stages of business (Doctoral dissertation, University of Pretoria).
Seneviratne, S., Seneviratne, A., Mohapatra, P. & Mahanti, A. (2014). Predicting user traits from a snapshot of apps installed on a smartphone. ACM SIGMOBILE Mobile Computing and Communications Review, 18(2), 1-8.
Shankar, V., Kleijnen, M., Ramanathan, S., Rizley, R., Holland, S. & Morrissey, S. (2016). Mobile shopper marketing: Key issues, current insights, and future research avenues. Journal of Interactive Marketing, 34, 37-48.
Shen, G.C.C. (2015). Users' adoption of mobile applications: Product type and message framing's moderating effect. Journal of Business Research, 68(11), 2317-2321
Shen, J., Brdiczka, O. & Liu, J. (2015). A study of Facebook behavior: What does it tell about your Neuroticism and Extraversion? Computers in Human Behavior, 45, 32-38.
Siala, H. (2013). Religious influences on consumers' high-involvement purchasing decisions. Journal of services marketing, 27(7), 579-589.
Skålén, P., Gummerus, J., Von Koskull, C. & Magnusson, P. R. (2015). Exploring value propositions and service innovation: a service-dominant logic study. Journal of the Academy of Marketing Science, 43(2), 137-158.
Song, J. H. & Zinkhan, G. M. (2008). Determinants of perceived web site interactivity. Journal of Marketing, 72, 99–113.
Statista (2017b). Number of mobile app downloads worldwide in 2016, 2017 and 2021 (in billions). https://www.statista.com/statistics/271644/worldwide-free-andpaid-mobile-app-store-downloads/.
Statista (2018). Number of smartphone users worldwide from 2014 to 2020 (in billions). https://www.statista.com/statistics/330695/number-ofsmartphone-users-worldwide/.
Tarute, A., Nikou, S. & Gatautis, R. (2017). Mobile application driven consumer engagement. Telematics and Informatics, 34(4), 145-156.
Turel, O., Serenko, A. & Bontis, N. (2007). User acceptance of wireless short messaging services: Deconstructing perceived value. Information & Management, 44(1), 63-73.
Usman, M. & Vanhaverbeke, W. (2017). How start-ups successfully organize and manage open innovation with large companies. European Journal of Innovation Management, 20(1), 171-186.
Van Le, H. & Suh, M.H. (2018). Changing trends in internet startup value propositions, from the perspective of the customer. Technological Forecasting and Social Change.
Wang, R.J.H., Malthouse, E. C. & Krishnamurthi, L. (2015). On the go: How mobile shopping affects customer purchase behavior. Journal of Retailing, 91(2), 217-234.
WARC (2017). 5.5bn people will use mobile devices by 2022, WARC online (Retrieved from) https://www.warc.com/NewsAndOpinion/News/5.5bn_people_will_use_ mobile_devices_by_2022/39021, and Accessed date: 26 October 2017.
Xu, C., Peak, D. & Prybutok, V. (2015). A customer value, satisfaction, and loyalty perspective of mobile application recommendations. Decision Support Systems, 79, 171-183.
Yang, Z., Peterson, R.T. & Cai, S. (2003). Services quality dimensions of Internet retailing: an exploratory analysis. Journal of services marketing.
Yoo, B. & Donthu, N. (2001). Developing a scale to measure the perceived quality of an Internet shopping site (SITEQUAL). Quarterly journal of electronic commerce, 2(1), 31-45.
Yoon, N.H. & Choo, H.J. (2011). The effects of mobile using benefits and costs on the self-connection with mobile device: Comparing between mobile fashion application users and non-users. Journal of Consumer Studies, 22(2), 227-252.
Zeithaml, V.A., Parasuraman, A. & Malhotra, A. (2000). A conceptual framework for
understanding e-service quality: Implications for future research and managerial practice (MSI Working Paper Series No. 00-115, Cambridge, MA) 1–49
