Skip to main content
SpringerLink
Log in

A Unified Model for the Use and Acceptance of Stickers in Social Media Messaging

  • Conference paper
  • First Online:
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019 (AISI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1058))

Abstract

The combination of two technology model which are the Technology Acceptance Model (TAM) and Use of Gratifications Theory (U&G) to create an integrated model is the first step in predicting the importance of using emotional icons and the level of satisfaction behind this usage. The reason behind using these two theories into one integrated model is that U&G provides specific information and a complete understanding of usage, whereas TAM theory has proved its effectiveness with a variety of technological applications. A self-administered survey was conducted in University of Fujairah with college students to find out the social and cognitive factors that affect the usage of stickers in WhatsApp in the United Arab of Emirates. The hypothesized model is validated empirically using the responses received from an online survey of 372 respondents were analyzed using structural equation modeling (SEM-PLS). The results show that ease of use, perceived usefulness, cognition, hedonic and social integrative significantly affected the intention to use sticker by college students. Moreover, personal integrative had a significant influence on the intention to use sticker in UAE.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Salloum, S.A., Al-Emran, M., Shaalan, K.: Mining social media text: extracting knowledge from Facebook. Int. J. Comput. Digit. Syst. 6(2), 73–81 (2017)

    Article  Google Scholar 

  2. Salloum, S.A., Al-Emran, M., Abdallah, S., Shaalan, K.: “Analyzing the Arab gulf newspapers using text mining techniques. In: International Conference on Advanced Intelligent Systems and Informatics, pp. 396–405 (2017)

    Google Scholar 

  3. Mhamdi, C., Al-Emran, M., Salloum, S.A.: Text mining and analytics: a case study from news channels posts on Facebook. 740 (2018)

    Google Scholar 

  4. Alghizzawi, M., Salloum, S.A., Habes, M.: The role of social media in tourism marketing in Jordan. Int. J. Inf. Technol. Lang. Stud. 2(3) (2018)

    Google Scholar 

  5. Habes, M., Alghizzawi, M., Khalaf, R., Salloum, S.A., Ghani, M.A.: The relationship between social media and academic performance: Facebook perspective. Int. J. Inf. Technol. Lang. Stud. 2(1), 12–18 (2018)

    Google Scholar 

  6. Al-Qaysi, N., Al-Emran, M.: Code-switching usage in social media: a case study from Oman. Int. J. Inf. Technol. Lang. Stud. 1(1), 25–38 (2017)

    Google Scholar 

  7. Alshurideh, M., Salloum, S.A., Al Kurdi, B., Al-Emran, M.: Factors affecting the social networks acceptance: an empirical study using PLS-SEM approach. In: 8th International Conference on Software and Computer Applications (2019)

    Google Scholar 

  8. Salloum, S.A., Al-Emran, M., Shaalan, K.: Mining text in news channels: a case study from Facebook. Int. J. Inf. Technol. Lang. Stud. 1(1), 1–9 (2017)

    Google Scholar 

  9. Salloum, S.A., Mhamdi, C., Al-Emran, M., Shaalan, K.: Analysis and classification of Arabic newspapers’ Facebook pages using text mining techniques. Int. J. Inf. Technol. Lang. Stud. 1(2), 8–17 (2017)

    Google Scholar 

  10. Shao, C., Kwon, K.H.: Clicks intended: an integrated model for nuanced social feedback system uses on Facebook. Telemat. Informatics (2018)

    Google Scholar 

  11. Lu, X., et al.: Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 770–780 (2016)

    Google Scholar 

  12. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)

    Article  Google Scholar 

  13. Salloum, S.A., Al-Emran, M.: Factors affecting the adoption of E-payment systems by university students: extending the TAM with trust. Int. J. Electron. Bus. 14(4), 371–390 (2018)

    Article  Google Scholar 

  14. Mezhuyev, V., Al-Emran, M., Fatehah, M., Hong, N.C.: Factors affecting the metamodelling acceptance: a case study from software development companies in Malaysia. IEEE Access 6, 49476–49485 (2018)

    Article  Google Scholar 

  15. Salloum, S.A., Shaalan, K.: Adoption of e-book for university students. In: International Conference on Advanced Intelligent Systems and Informatics, pp. 481–494 (2018)

    Google Scholar 

  16. Salloum, S.A., Mhamdi, C., Al Kurdi, B., Shaalan, K.: Factors affecting the adoption and meaningful use of social media: a structural equation modeling approach. Int. J. Inf. Technol. Lang. Stud. 2(3), 96–109 (2018)

    Google Scholar 

  17. Al-Maroof, R.A.S., Al-Emran, M.: Students acceptance of google classroom: an exploratory study using PLS-SEM approach. Int. J. Emerg. Technol. Learn. (2018)

    Google Scholar 

  18. Escobar-Rodriguez, T., Monge-Lozano, P.: The acceptance of moodle technology by business administration students. Comput. Educ. 58(4), 1085–1093 (2012)

    Article  Google Scholar 

  19. Luo, M.M., Remus, W.: Uses and gratifications and acceptance of web-based information services: an integrated model. Comput. Human Behav. 38, 281–295 (2014)

    Article  Google Scholar 

  20. Al-Qaysi, N., Mohamad-Nordin, N., Al-Emran, M.: A systematic review of social media acceptance from the perspective of educational and information systems theories and models. J. Educ. Comput. Res. (2018)

    Google Scholar 

  21. Al-Emran, M., Mezhuyev, V., Kamaludin, A.: Technology acceptance model in m-learning context: a systematic review. Comput. Educ. (2018)

    Google Scholar 

  22. Aburub, F., Alnawas, I.: A new integrated model to explore factors that influence adoption of mobile learning in higher education: an empirical investigation. Educ. Inf. Technol. 1–14 (2019)

    Google Scholar 

  23. Al-Emran, M., Mezhuyev, V., Kamaludin, A.: PLS-SEM in information systems research: a comprehensive methodological reference. In: 4th International Conference on Advanced Intelligent Systems and Informatics (AISI 2018), pp. 644–653 (2018)

    Google Scholar 

  24. Ringle, C.M., Wende, S., Becker, J.-M.: SmartPLS 3. Bönningstedt: SmartPLS (2015)

    Google Scholar 

  25. Habes, M., Alghizzawi, M., Khalaf, R., Salloum, S.A., Ghani, M.A.: The relationship between social media and academic performance: Facebook perspective. Int. J. Inf. Technol. Lang. Stud. 2(1) (2018)

    Google Scholar 

  26. Alshurideh, M., Masa’deh, R., Alkurdi, B.: The effect of customer satisfaction upon customer retention in the Jordanian mobile market: an empirical investigation. Eur. J. Econ. Financ. Adm. Sci. 47, 69–78 (2012)

    Google Scholar 

  27. Al-dweeri, R.M., Obeidat, Z.M., Al-dwiry, M.A., Alshurideh, M.T., Alhorani, A.M.: The impact of e-service quality and e-loyalty on online shopping: moderating effect of e-satisfaction and e-trust. Int. J. Mark. Stud. 9(2), 92 (2017)

    Article  Google Scholar 

  28. Hair Jr, J.F., Hult, G.T.M., Ringle, C., Sarstedt, M.: A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications (2016)

    Google Scholar 

  29. Al-Emran, M., Salloum, S.A.: Students’ attitudes towards the use of mobile technologies in e-evaluation. Int. J. Interact. Mob. Technol. 11(5), 195–202 (2017)

    Article  Google Scholar 

  30. Al-Emran, M., Alkhoudary, Y.A., Mezhuyev, V., Al-Emran, M.: Students and educators attitudes towards the use of m-learning: gender and smartphone ownership differences. Int. J. Interact. Mob. Technol. 13(1), 127–135 (2019)

    Article  Google Scholar 

  31. Salloum, S.A., Maqableh, W., Mhamdi, C., Al Kurdi, B., Shaalan, K.: Studying the social media adoption by university students in the United Arab Emirates. Int. J. Inf. Technol. Lang. Stud. 2(3), 83–95 (2018)

    Google Scholar 

  32. Nunnally, J.C., Bernstein, I.H.: Psychometric Theory (1994)

    Google Scholar 

  33. Kline, R.B.: Principles and Practice of Structural Equation Modeling. Guilford publications (2015)

    Google Scholar 

  34. Henseler, J., Ringle, C.M., Sarstedt, M.: A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43(1), 115–135 (2015)

    Article  Google Scholar 

  35. Dreheeb, A.E., Basir, N., Fabil, N.: Impact of system quality on users’ satisfaction in continuation of the use of e-learning system. Int. J. e-Educ. e-Bus. e-Manage. e-Learn. 6(1), 13 (2016)

    Google Scholar 

  36. Senapathi, M., Srinivasan, A.: An empirical investigation of the factors affecting agile usage. In: Proceedings of the 18th international conference on evaluation and assessment in software engineering, p. 10 (2014)

    Google Scholar 

  37. Chin, W.W.: The partial least squares approach to structural equation modeling. Mod. methods Bus. Res. 295(2), 295–336 (1998)

    Google Scholar 

  38. Efron, B., Tibshirani, R.J.: The jackknife. In: An introduction to the bootstrap. Springer, pp. 141–152 (1993)

    Google Scholar 

  39. Herring, S., Dainas, A.: Nice picture comment!’ Graphicons in Facebook comment threads. In: Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of English Language and Linguistics, Al Buraimi University College, Al Buraimi, Oman

    Rana Saeed Al-Maroof

  2. Faculty of Engineering and IT, The British University in Dubai, Dubai, UAE

    Said A. Salloum

  3. Faculty of Engineering and IT, University of Fujairah, Fujairah, UAE

    Said A. Salloum, Ahmad Qasim Mohammad AlHamadand & Khaled Shaalan

Authors
  1. Rana Saeed Al-Maroof
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Said A. Salloum
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ahmad Qasim Mohammad AlHamadand
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Khaled Shaalan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Said A. Salloum .

Editor information

Editors and Affiliations

  1. Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  3. Ain Shams University, Cairo, Egypt

    Mohamed Fahmy Tolba

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Al-Maroof, R.S., Salloum, S.A., AlHamadand, A.Q.M., Shaalan, K. (2020). A Unified Model for the Use and Acceptance of Stickers in Social Media Messaging. In: Hassanien, A., Shaalan, K., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019. AISI 2019. Advances in Intelligent Systems and Computing, vol 1058. Springer, Cham. https://doi.org/10.1007/978-3-030-31129-2_34

Download citation

Publish with us

Policies and ethics

Search

Navigation