Mixed-Methods Scale Development : Students’ Intention to Choose University Under the Lens of Institutional Social Media Engagement
DOI:
https://doi.org/10.17010/ijom/2026/v56/i6/176019Keywords:
students’ intention to choose university, institutional social media engagement, social media responsiveness, institutional social media popularity, strategic media information, and Generation Z.Publication Chronology: Paper Submission Date: October 15, 2025 ; Paper sent back for Revision : April 5, 2026 ; Paper Acceptance Date : April 25, 2026 ; Paper Published Online : June 15, 2026
Abstract
Purpose : Given the strong dependence of Generation Z (Gen Z) on social media, this research was designed to develop objective criteria and a measurement scale to assess the students’ intention to choose a university, giving particular attention to institutions’ social media engagement.
Methodology : The present study utilized a sequential exploratory mixed-methods design to develop and evaluate the psychometric properties of the Students’ Intention to Choose University Scale (SICUS). Semi-structured interviews with first-year undergraduate and postgraduate students from 10 universities in Northern India were conducted to elicit qualitative insights into university selection using social media platforms. The qualitative data informed the creation of an item pool for the scale, which was evaluated for face and content validity, followed by exploratory factor analysis (120 respondents), confirmatory factor analysis (120 respondents), and assessments of construct reliability and validity.
Findings : The findings resulted in a valid and reliable scale (SICUS) with three dimensions: social media responsiveness, institutional social media popularity, and strategic media information, which effectively measured the intention to choose a university among Gen Z, with satisfactory validity and reliability indices.
Practical Implications : SICUS is a valuable tool for researchers and higher education institutions to measure students’ intention to choose a university based on institutional social media engagement (ISME) and to inform the development of their social media strategies.
Originality : A scale was developed to measure students’ intention to choose a university, taking into account institutions’ SME. It also provides a step-by-step guide to developing a scale using an exploratory mixed-methods research approach.
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1) Aggarwal, P., Chauhan, K., & Chaturvedi, V. (2025). The moderating role of perceived risk in social media marketing's impact on customer engagement, e-WOM, and online repurchase intention in e-commerce: Integrating ELM and SOR models. Prabandhan: Indian Journal of Management, 18(3), 8–29. https://doi.org/10.17010/pijom/2025/v18i3/174229
2) Agnihotri, S., Malhan, S., & Singh, A. B. (2023). The emergence of social media as an antecedent of employability: A PLS-SEM approach. Prabandhan: Indian Journal of Management, 16(5), 57–73. https://doi.org/10.17010/pijom/2023/v16i5/171226
3) Ahmad, S. (2020). Digital initiative for access and quality in higher education: An overview. Prabandhan: Indian Journal of Management, 13(1), 9–18. https://doi.org/10.17010/pijom/2020/v13i1/149944
4) Clark, M., Fine, M. B., & Scheuer, C.-L. (2017). Relationship quality in higher education marketing: The role of social media engagement. Journal of Marketing for Higher Education, 27(1), 40–58. https://doi.org/10.1080/08841241.2016.1269036
5) Colicev, A., Malshe, A., & Pauwels, K. (2018). Social media and customer-based brand equity: An empirical investigation in the retail industry. Administrative Sciences, 8(3), Article no. 55. https://doi.org/10.3390/admsci8030055
6) Creswell, J. W. (2010). Mapping the developing landscape of mixed methods research. In A. Tashakkori & C. Teddlie (eds.), SAGE handbook of mixed methods in social & behavioral research (2nd ed., pp. 45–68). SAGE Publications, Inc. https://doi.org/10.4135/9781506335193.n2
7) Davis, F. D. (1989). Technology acceptance model: TAM. In M. N. Al-Suqri & A. S. Al-Aufi (eds.), Information seeking behavior and technology adoption (pp. 205–219). IGI Global. https://www.scirp.org/reference/referencespapers?referenceid=3834466
8) El-Merabet, O., Kinani, S., & El-Merabet, Z. (2025). How social media-based brand communities influence the choice intention of higher education institutions: The mediating role of brand attitude. International Review on Public and Nonprofit Marketing, 22(2), 465–488. https://doi.org/10.1007/s12208-025-00434-z
9) Fujita, M., Harrigan, P., & Soutar, G. N. (2017). International students' engagement in their university's social media: An exploratory study. International Journal of Educational Management, 31(7), 1119–1134. https://doi.org/10.1108/IJEM-12-2016-0260
10) Gan, C. (2018). Gratifications for using social media: A comparative analysis of Sina Weibo and WeChat in China. Information Development, 34(2), 139–147. https://doi.org/10.1177/0266666916679717
11) Ghai, R., Goel, P., & Chatnani, N. N. (2026). A scale to measure the sustainability and performance of self-help groups. Prabandhan: Indian Journal of Management, 19(1), 8–29. https://doi.org/10.17010/pijom/2026/v19i1/175037
12) Gill, S., Sharma, A., & Jain, D. M. (2023). Digital disruptions in education: Students' perspective. Prabandhan: Indian Journal of Management, 16(9), 61–77. https://doi.org/10.17010/pijom/2023/v16i9/173167
13) Githinji, F. W., Nanyonga, R. C., & Komuhangi, A. (2025). Maneuvering through e-learning platform: An evaluation of open distance and e-learning in higher education institutions in Uganda. Pan-African Journal of Education and Social Sciences, 4(2), 82–94. https://www.ajol.info/index.php/pajes/article/view/299023
14) Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Psychology Press. https://doi.org/10.4324/9780203781098
15) Graneheim, U. H., & Lundman, B. (2004). Qualitative content analysis in nursing research: Concepts, procedures, and measures to achieve trustworthiness. Nurse Education Today, 24(2), 105–112. https://doi.org/10.1016/j.nedt.2003.10.001
16) Gupta, S., Sajnani, M., & Gowreesunker, V. G. (2024). Investigating the role of food tourism in shaping destination branding: A qualitative research perspective. Prabandhan: Indian Journal of Management, 17(4), 8–28. https://doi.org/10.17010/pijom/2024/v17i4/173425
17) Hair, J. F., Babin, B. J., Anderson, R. E., & Black, W. C. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
18) Healy, T. G., & Wilson, A. (2015). Social media marketing in the hospitality industry: Is it worth the effort? In Proceedings of the 14th International Research Symposium on Service Excellence in Management (pp. 1–10). Academic Press.
19) Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
20) Hutcheson, G. D. (1999). The multivariate social scientist. SAGE Publications Ltd. https://doi.org/10.4135/9780857028075
21) Karampela, M., Lacka, E., & McLean, G. (2020). “Just be there”: Social media presence, interactivity, and responsiveness, and their impact on B2B relationships. European Journal of Marketing, 54(6), 1281–1303. https://doi.org/10.1108/EJM-03-2019-0231
22) Kaur, S., Yadav, B., Goel, D., Devi, S., Ramachandaran, S. D., & Kumar, A. (2024). Exploring Indian students' perception, behavioral intentions, and motivation for learning with ChatGPT. Prabandhan: Indian Journal of Management, 17(12), 28–45. https://doi.org/10.17010/pijom/2024/v17i12/174055
23) Konstantoulaki, K., Rizomyliotis, I., Cao, Y., & Christodoulou, I. (2022). Social media engagement and the determinants of behavioural intentions of university online program selection: The moderating role of mindfulness. Corporate Communications: An International Journal, 27(3), 457–469. https://doi.org/10.1108/CCIJ-07-2021-0081
24) Lam, L. W. (2012). Impact of competitiveness on salespeople's commitment and performance. Journal of Business Research, 65(9), 1328–1334. https://doi.org/10.1016/j.jbusres.2011.10.026
25) Lee, D., Hosanagar, K., & Nair, H. S. (2018). Advertising content and consumer engagement on social media: Evidence from Facebook. Management Science, 64(11), 5105–5131. https://doi.org/10.1287/mnsc.2017.2902
26) Li, J., Kim, W. G., & Choi, H. M. (2021). Effectiveness of social media marketing on enhancing performance: Evidence from a casual-dining restaurant setting. Tourism Economics, 27(1), 3–22. https://doi.org/10.1177/1354816619867807
27) Mathur, S., Vishnoi, S. K., Bagga, T., Mittal, A., & Mittal, A. (2024). Examining the impact of argument quality and source credibility on consumers' behavioral intention toward green cosmetics: The moderating role of perceived innovativeness. Prabandhan: Indian Journal of Management, 17(3), 26–47. https://doi.org/10.17010/pijom/2024/v17i3/173364
28) Matin, A., Khoshtaria, T., & Tutberidze, G. (2020). The impact of social media engagement on consumers' trust and purchase intention. International Journal of Technology Marketing, 14(3), 305–323. https://doi.org/10.1504/IJTMKT.2020.111547
29) Meliawati, T., Gerald, S. C., & Aruman, A. E. (2023). The effect of social media marketing, TikTok, and product quality towards purchase intention. Journal of Consumer Sciences, 8(1), 77–92. http://doi.org/10.29244/jcs.8.1.77-92
30) Ministry of External Affairs, Government of India. (2025). Annual report 2024–2025. Government of India. https://www.mea.gov.in/Annual_Reports.htm?dtl/39677/Annual_Report_20242025
31) Mohammadbeigi, A., Mohammadsalehi, N., & Aligol, M. (2015). Validity and reliability of the instruments and types of measurements in health applied research. Journal of Rafsanjani University of Medical Sciences, 13(12), 1153–1170. http://journal.rums.ac.ir/article-1-2274-en.html
32) Nguyen, L., Lu, V. N., Conduit, J., Tran, T. T., & Scholz, B. (2021). Driving enrolment intention through social media engagement: A study of Vietnamese prospective students. Higher Education Research & Development, 40(5), 1040–1055. https://doi.org/10.1080/07294360.2020.1798886
33) Nia, H. S., Froelicher, E. S., Hosseini, L., Farahani, M. A., & Hejazi, S. (2022). Development and validation of the care challenge scale in family caregivers of people with Alzheimer's disease. Frontiers in Public Health, 10, Article 921858. https://doi.org/10.3389/fpubh.2022.921858
34) Nokia MBiT Index. (2022). India Mobile Broadband Index 2022. https://www.nokia.com/sites/default/files/2022-03/nokia-mbit-2022.pdf
35) Patil, R., Pandita, P., & Waghmare, G. (2023). Design thinking: A creative approach to develop an employee experience scale. Prabandhan: Indian Journal of Management, 16(2), 40–59. https://doi.org/10.17010/pijom/2023/v16i2/172730
36) Perera, C. H., Nayak, R., & Nguyen, L. T. (2023). The impact of social media marketing and brand credibility on higher education institutes' brand equity in emerging countries. Journal of Marketing Communications, 29(8), 770–795. https://doi.org/10.1080/13527266.2022.2086284
37) Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
38) Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what's being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489–497. https://doi.org/10.1002/nur.20147
39) Rahman, Z., Kumaran, S., Zanuddin, H., & Nasir, M. H. (2017). SM analytics: Impact of SM engagement metrics on online purchase intention. Journal of Engineering and Applied Sciences, 12(2), 283–289. https://doi.org/10.3923/jeasci.2017.283.289
40) Reddy, S., Pavithra, V., & Thomas, M. R. (2024). Assessing the skill sets from the NEP policy 2020: Scale development and validation. Prabandhan: Indian Journal of Management, 17(9), 44–59. https://doi.org/10.17010/pijom/2024/v17i9/173941
41) Seemiller, C., & Grace, M. (2017). Generation Z: Educating and engaging the next generation of students. About Campus: Enriching the Student Learning Experience, 22(3), 21–26. https://doi.org/10.1002/abc.21293
42) Sharma, S. K., Joshi, A., & Sharma, H. (2016). A multi-analytical approach to predict Facebook usage in higher education. Computers in Human Behavior, 55(Part A), 340–353. https://doi.org/10.1016/j.chb.2015.09.020
43) Shokeen, A., Kumar, A., & Khanna, S. (2023). Understanding students' behavioral intention to adopt blended learning: Modified UTAUT model. Prabandhan: Indian Journal of Management, 16(11), 43–64. https://doi.org/10.17010/pijom/2023/v16i11/170915
44) Shrivastav, V. (2023). Consumption patterns of Digital Natives (Gen Z). The Times of India. https://timesofindia.indiatimes.com/blogs/voices/consumption-patterns-of-digital-natives-gen-z/
45) Shrotryia, V. K., & Dhanda, U. (2019). Content validity of assessment instrument for employee engagement. SAGE Open, 9(1). https://doi.org/10.1177/2158244018821751
46) Singh, N., & Nigam, S. (2021). Value-based segmentation of Generation Z women consumers of India: Replication and validation of model. Prabandhan: Indian Journal of Management, 14(10), 8–23. https://doi.org/10.17010/pijom/2021/v14i10/166641
47) Slotta, D. (2025). Social media and generation Z in the United States - Statistics & facts. https://www.statista.com/topics/10943/social-media-and-generation-z-in-the-united-states/#topicOverview
48) Song, B. L., Lee, K. L., Liew, C. Y., & Subramaniam, M. (2023). The role of social media engagement in building relationship quality and brand performance in higher education marketing. International Journal of Educational Management, 37(2), 417–430. https://doi.org/10.1108/IJEM-08-2022-0315
49) Statista. (2023). Number of internet and social media users worldwide as of January 2023. https://www.statista.com/statistics/617136/digital-population-worldwide/
50) Uprety, M., Barik, P., & Nim, D. (2025). Social media and sustainable fashion: Mediating roles of awareness and attitude among young Indian consumers. Prabandhan: Indian Journal of Management, 18(12), 49–71. https://doi.org/10.17010/pijom/2025/v18i12/175033
51) Valerio-Ureña, G., Herrera-Murillo, D., & Madero-Gómez, S. (2020). Analysis of the presence of best-ranked universities on social networking sites. Informatics, 7(1), Article no. 9. https://doi.org/10.3390/informatics7010009
52) Whiting, A., & Williams, D. (2013). Why people use social media: A uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4), 362–369. https://doi.org/10.1108/QMR-06-2013-0041
53) Zhou, Y. (2019). A mixed methods model of scale development and validation analysis. Measurement: Interdisciplinary Research and Perspectives, 17(1), 38–47. https://doi.org/10.1080/15366367.2018.1479088