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Reseach Article

Impacts of Hedonic Motivation and Social Influence in Self-Broadcasting using Social Media Platforms

by Halliru Sani, Usman Nuruddeen Abdulhamid, Musbahu Salisu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 28
Year of Publication: 2024
Authors: Halliru Sani, Usman Nuruddeen Abdulhamid, Musbahu Salisu
10.5120/ijca2024923719

Halliru Sani, Usman Nuruddeen Abdulhamid, Musbahu Salisu . Impacts of Hedonic Motivation and Social Influence in Self-Broadcasting using Social Media Platforms. International Journal of Computer Applications. 186, 28 ( Jul 2024), 1-11. DOI=10.5120/ijca2024923719

@article{ 10.5120/ijca2024923719,
author = { Halliru Sani, Usman Nuruddeen Abdulhamid, Musbahu Salisu },
title = { Impacts of Hedonic Motivation and Social Influence in Self-Broadcasting using Social Media Platforms },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2024 },
volume = { 186 },
number = { 28 },
month = { Jul },
year = { 2024 },
issn = { 0975-8887 },
pages = { 1-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number28/impacts-of-hedonic-motivation-and-social-influence-in-self-broadcasting-using-social-media-platforms/ },
doi = { 10.5120/ijca2024923719 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-07-26T23:00:21+05:30
%A Halliru Sani
%A Usman Nuruddeen Abdulhamid
%A Musbahu Salisu
%T Impacts of Hedonic Motivation and Social Influence in Self-Broadcasting using Social Media Platforms
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 28
%P 1-11
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This study examines the impacts of hedonic motivation and social influence in self-broadcasting using social media platforms. The study uses the students of Al-Qalam University Katsina as the respondents. Scholars have emphasized an urgent need to investigate the impacts of hedonic motivation and social influence on self-broadcasting in the era of social media. The conceptual model was proposed based on two constructs from the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) (social influence and hedonic motivation). The data was collected using a closed ended questionnaire survey with 353 participants. The study is restricted to the undergraduate students from the five colleges of Al-Qalam University Katsina. IBM SPSS version 23 software application was used to enter raw data from the questionnaire and Smart PLS 3.0 was used in analyzing both the measurement and the structural model of the study. The key results of structural equation modelling (SEM) largely supported the current model’s validity and the significant impact of social influence and hedonic motivation on students’ behavior. This study will hopefully provide a number of conceptual, theoretical and practical guidelines on how students can effectively plan and share their personal information on social media platforms. The study recommended that online social networks companies should try as much as possible to make their platforms more user friendly and simple also the social media companies should focus on satisfying the hedonic (i.e., fun, entertaining, and pleasurable) needs of social media users when they are designing or updating the content meant for social media (e.g., Facebook pages established by different companies and for products and services). This study also suggests among other things that a similar study be undertaken on undergraduate or postgraduate students of other institutions to see how the findings of the study can differ or be similar to this one.

References
  1. M. Enting, J. Jongerling and A. K. Reitz, "Self-Esteem and Social Interactions in Daily Life: An Experience Sampling Study.," 2024.
  2. D. Zuev and G. Branchford, "Social Media and the Visual Sociology: Practices and Politics in Contested Spaces," pp. 83-117, 2020.
  3. M. Carrigan, "Social media for academics.," SAGE publication ltd, 2019.
  4. A. Lenhart, "Teens, social media and technology overview.," Pew research centre, 2015.
  5. G. Olasina, "The use of web 2.0 tools and social networking sites by librarians, information professionals and other professionals in workplaces in Nigeria," Pacific Northwest Library Association, PNLA Quarterly, no. 75 (3), pp. 11-43, 2013.
  6. C. M. Butkus, "Social Media, Marginalized Identity and Liminal Publics," (Doctoral Dissertation), 2023.
  7. A. Koohang, "Social media sites privacy concerns: Empirical validation of an instrument," Online Journal of Applied Knowledge Management, pp. 14-26, 2017.
  8. B. Anderson, P. Fagan, T. Woodnutt and T. Chamorro-Premuzie, "Facebook psychology: Popular questions answered by research.," Psychology of Popular Media Culture, no. 1, pp. 23-37, 2012.
  9. A. Dhir, P. Kaur, S. Chen and K. Lonka, "Understanding online regret experience in Facebook use -Effects of brand participation, accessibility & problematic use," Computers in Human Behavior, p. 420–430, 2016.
  10. V. Venkatesh, J. Y. L. Thong and X. Xu, "Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology," MIS Quarterly, p. 157–178, 2012.
  11. S. A. Brown and V. Venkatesh, "Model of adoption of technology in the household: A baseline model test and extension incorporating household life cycle," MIS Quarterly, no. 29, p. 399–426, 2005.
  12. S. Dawon, P. H. Bloch and N. W. Ridway, "Shopping motives, emotional states and retail outcomes," Journal of retailing, pp. 408-427, 1990.
  13. J. Moon and Y. Kim, "Extending the TAM for a world-wide-web context," Information management, pp. 217-230, 2001.
  14. A. Quan-Haase and A. L. Young, "Uses and gratifications of social media: A comparison of facebook and instant messaging," Bulletin of Science, Technology, and Society, no. 30, pp. 350- 361, 2010.
  15. S. Werning, "Ethical Implications of Affordance Charge in Contemporary Social Media Platforms," Communication in Culture Review, pp. 15-32, 2018.
  16. Y. S. Poong, S. Yamaguchi and J. I. Takada, "Investigating the drivers of mobile learning acceptance among young adults in the World Heritage town of Luang Prabang, Laos.," Information Development, p. 115, 2016.
  17. V. Venkatesh, M. Morris, G. Davis and F. Davis, "User acceptance of information technology: toward a unified view," MIS Quarterly: Management Information Systems, pp. 27, 425-478., 2003.
  18. T. L. Y. Zhou and B. Wang, "Integrating TTF and UTAUT to explain mobile banking user adoption," Computers in Human Behavior, pp. 26, 760–767, 2010.
  19. A. A. Alalwan, Y. K. Dwivedi, N. P. Rana and A. C. Simintiras, "Jordanian consumers’ adoption of telebanking: Influence of perceived usefulness, trust and self-efficacy," International Journal of Bank Marketing, p. 34(5), 2016.
  20. G. Martins, T. Oliveira and A. Popovic, "Understanding the Internet bankingadoption: A unified theory of acceptance and use of technology and perceived risk application," International Journal of Information Management, p. 1–13, 2014.
  21. C. S. Yu, "Factors affecting individuals to adopt Mobile banking: Empirical evidence from the UTAUT model," Journal of Electronic Commerce Research, , no. 13, p. 104–121, 2012.
  22. A. Kesharwani and S. Singh-Bisht, "The impact of trust and perceived risk on internet banking adoption in India: An extension of technology acceptance model," International Journal of Bank Marketing, pp. 303-322, 2012.
  23. S. Sudeep, "Internet banking and customer acceptance: The Indian scenario. Ph.D. Thesis," Cochin University of Science and Technology., Cochin, 2007.
  24. C. Hsu and H. Lu, "Why do people play online games? An extended TAM with social influences and flow experience, Information & Management," pp. 853-868, 2004.
  25. A. Y. Chong and E. T. W. Ngai, "What influences travellers' adoption of a locationbasedsocial media service for their travel planning?," in Pacific Asia conference on information systems, Asia, 2013.
  26. V. Krishnaraju, S. K. Mathew and V. Sugumaran, "Role of web personalization in consumer acceptance of e-government services," in Nineteenth Americas conference on information systems, Chicago, 2013.
  27. M. Mäntymäki and J. Salo, "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, p. 282 –290, 2013.
  28. L. K. Y. Qin and X. Tan, "Understanding the intention of using mobile social networking apps," in Twenty-second Americas conference on information systems., 2016.
  29. J. Arnett, "Emerging adulthood: A theory of development from the late teens through the twenties," American Psychologist, no. 55, p. 469 –480, 2010.
  30. R. K. Baker and K. M. White, "Predicting adolescents’ use of social networking sites from an extended theory of planned behavior perspective," Computers in Human Behavior, no. 26, p. 1591–1597, 2010.
  31. K. Huamphreys and J. Kim, "Transgender Microcelebrity Activists: Self-Broadcasting as Politics," Journal of Student Research, 2021.
  32. R. Krejcie and D. Morgan, "Determining Sample Size for Research Activities," Educational and Psychological Measurement., p. 607–210, 1970.
  33. H. Singhry, Research methods made easy (First), Bauchi: Greenleaf publishing company, 2018.
  34. S. Sarantakos, Social Research., Australia: Macmillan Education Press Limited, 1993.
  35. A. Musiime and M. Ramadhan, "Internet banking, consumer adoption and customer Satisfaction," Department of Marketing Makerere University, Business School Kampala Uganda, 2011.
  36. U. Sekaran and R. Bougie, Research method for business: A skill building approach (Fifth), West Sussex: Wiley: A John Wiley and Sons Ltd, Publications, 2009.
  37. T. Ramayah, "Smart partial least squares 2.0.," University Sains, Penang: Malaysia, 2015.
  38. J. F. Hair, M. Sarstedt, C. M. Ringle and J. A. Mena, "An assessment of the use of partialleast squares structural equation modeling in marketing research," Journal of the Academy of Marketing Science, pp. 414-433, 2012.
  39. C. Fornell and D. F. Larcker, "Structural equation models with unobservable variables and measurement error," Journal of Marketing Research, pp. 39-50, 1981.
  40. J. F. Hair, W. C. Black, B. J. Babin and R. E. Anderson, Multivariate data analysis (7th ed.), Upper Saddle River, NJ: Prentice Hall, 2010.
  41. J. F. Hair, M. Sarstedt, L. Hopkins and V. G. Kuppelwieser, "Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research," European Business Review, pp. 106-121, 2014.
  42. J. F. Hair, C. M. Ringle and M. Sarstedt, "Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance," Long Range Planning, p. 1–12, 2013.
  43. C. Morosan and A. DeFranco, "It's about time: Revisiting UTAUT2 to examine consumers' intentions to use NFC mobile payments in hotels," International Journal of Hospitality Management, pp. 17-29, 2016.
  44. T. K. Huang, "Exploring the antecedents of screenshot based interactions in the context of advanced computer software learning," Computer & Education, pp. 95-107, 2015.
  45. J. Arenas-Gaitan, B. Peral-Peral and M. A. Ramon-Jeronimo, "Elderly and internet banking: An application of UTAUT2.," Journal of Internet Banking and Commerce, no. 20, pp. 1-23, 2015.
  46. O. Nicholas, "Predicting the adoption of e-learning management systems: a case of selected private universities in Nigeria," vol. I, no. 11, p. 11, 2017.
  47. O. Oeschslein, M. Fleischmann and T. Hess, "An application of UTAUT2 on social recommender system: Incorporating social information for performance expectancy.," in 47th Hawaii , Hawaii, 2014.
  48. S. N. Attuquayefio and H. Addo, " Using UTAUT model to analyze students’ ICT adoption," International journal of education and development using ICT. , p. 8, 2014.
  49. G. Baptista and T. Oliveira, "Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators," Computers in Human Behavior, no. 50, p. 418 – 430, 2015.
  50. Á. S. M. H. Herrero and M. M. Garcia-De los Salmones, "Explaining the adoption of social networks sites for sharing user-generated content: a revision of the UTAUT2," Computers in Human Behavior, p. 209–217, 2017.
  51. J. Järvinen, R. Ohtonen and H. Karjaluoto, "Consumer acceptance and use of instagram," in 49th Hawaii International Conference on System Sciences (HICSS), Hawaii , 2016.
  52. U. Sekaran and R. Bougie, Research methods for business: A skill building approach (5th ed.), New Jersey: John Wiley and sons, 2010.
Index Terms

Computer Science
Information Sciences
Social Influence
Hedonic Motivation
Self-Broadcasting

Keywords

Social media UTAUT2 Hedonic Motivation Social Influence