Acta Informatica Pragensia 2022, 11(1), 48-61 | DOI: 10.18267/j.aip.1643474

Impact of Social Media Application Qualities on Using Them for Daily News

Davod Farhadi1, Ali Maroosi ORCID...2
1 Department of Computer Engineering, Islamic Azad University, Ferdows Branch, Ferdows, Iran
2 Department of Computer Engineering, University of Torbat Heydarieh, Torbat Heydarieh, Iran

A model is introduced to investigate the effect of social media application qualities on the using of these applications for daily news. A standard questionnaire was designed and distributed among randomly selected social media users in the city of Neyshabur in Iran. The content of the questionnaire was validated by experts and its reliability verified using Cronbach's alpha. Random sampling was used identify participants. The SmartPLS software was used to investigate the research findings. Structural equation modelling is used for data analysis. The results show that the factors of system quality, information quality, service quality and personalization of applications affect their perceived usefulness. System quality and service quality affect the perceived ease of use of applications. However, information quality does not affect perceived ease of use. Also, the results show that perceived usefulness has a greater effect (with a path coefficient of 45%) on the attitude in respect of perceived ease of use (path coefficient of 26%). Personalization has the most positive impact on perceived usefulness and service quality has a great impact on perceived ease of use. Facilitating conditions have a positive impact on the use of social media and their use for news. Furthermore, the results show that the factors that affect the use of applications in Telegram are better than those in Viber. These findings justify why Iranian people migrate from Viber to Telegram as their social media application.

Keywords: Application software; Information technology; Social media; Information quality.

Received: August 2, 2021; Revised: November 18, 2021; Accepted: November 19, 2021; Prepublished online: November 22, 2021; Published: March 13, 2022  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Farhadi, D., & Maroosi, A. (2022). Impact of Social Media Application Qualities on Using Them for Daily News. Acta Informatica Pragensia, 11(1), 48-61. doi: 10.18267/j.aip.164
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. Akbari, A., & Gabdulhakov, R. (2019). Platform Surveillance and Resistance in Iran and Russia: The Case of Telegram. Surveillance & Society, 17(1/2), 223-231. https://doi.org/10.24908/ss.v17i1/2.12928 Go to original source...
    2. Aliman, N. K., & Mohamad, W. N. (2016). Linking Service Quality, Patients' Satisfaction and Behavioral Intentions: An Investigation on Private Healthcare in Malaysia. Procedia - Social and Behavioral Sciences, 224, 141-148. https://doi.org/10.1016/j.sbspro.2016.05.419 Go to original source...
    3. Almaiah, M. A., Jalil, M. A., & Man, M. (2016). Extending the TAM to examine the effects of quality features on mobile learning acceptance. Journal of Computers in Education, 3(4), 453-485. https://doi.org/10.1007/s40692-016-0074-1 Go to original source...
    4. Al-Mamary, Y.H., Shamsuddin, A., & Aziati, N. (2014). The Relationship between System Quality, Information Quality, and Organizational Performance. International Journal of Knowledge and Research in Management and E-Commerce, 4, 7-10.
    5. Alqasa, K.M., Mohd Isa, F., Othman, S.N., & Zolait, A.H.S. (2014). The impact of students' attitude and subjective norm on the behavioural intention to use services of banking system. International journal of business information systems, 15(1), 105-122. Go to original source...
    6. Al-Sharafi, M.A., Arshah, R.A., Herzallah, F.A., & Alajmi, Q. (2017). The effect of perceived ease of use and usefulness on customers intention to use online banking services: the mediating role of perceived trust. International Journal of Innovative Computing, 7(1), 9-14.
    7. Chaeikar, S. S., Yazdanpanah, S., & Chaeikar, N. S. (2021). Secure SMS transmission based on social network messages. International Journal of Internet Technology and Secured Transactions, 11(2), 176. https://doi.org/10.1504/ijitst.2021.113519 Go to original source...
    8. Chan, L.-K., & Lau, P.-Y. (2018). Investigating the Impact of System Quality on Service-Oriented Business Intelligence Architecture. SAGE Open, 8(4), 215824401880552. https://doi.org/10.1177/2158244018805527 Go to original source...
    9. Chen, X., Huang, Q., & Davison, R. M. (2017). The role of website quality and social capital in building buyers' loyalty. International Journal of Information Management, 37(1), 1563-1574. https://doi.org/10.1016/j.ijinfomgt.2016.07.005 Go to original source...
    10. Desai, D. (2018). An Empirical Study of Website Personalization Effect on Users Intention to Revisit E-commerce Website Through Cognitive and Hedonic Experience. In Data Management, Analytics and Innovation (pp. 3-19). Springer Singapore. https://doi.org/10.1007/978-981-13-1274-8_1 Go to original source...
    11. Duy, P. N. N., & Hoang, T. M. (2017). Factors affecting customer satisfaction and customer loyalty the case of binh duong ceramic product. In Proceedings of NIDA International Business Conference 2017 - Innovative Management (pp. 380-405). NIDA.
    12. Faramarzi, S., Tabrizi, H. H., & Chalak, A. (2019). Telegram: An instant messaging application to assist distance language learning. Teaching English with Technology, 19(1), 132-147.
    13. Gilavand, A., Shooriabi, M., & Mansoori, B. (2017). Investigating the use of social networking sites for dental education by students: A regional survey. Annals of Dental Specialty, 5(3), 93-96.
    14. Grange, C., & Barki, H. (2020). The Nature and Role of User Beliefs Regarding a Website's Design Quality. Journal of Organizational and End User Computing, 32(1), 75-96. https://doi.org/10.4018/joeuc.2020010105 Go to original source...
    15. Gupta, P., Prashar, S., Vijay, T. S., & Parsad, C. (2021). Examining the influence of antecedents of continuous intention to use an informational app: the role of perceived usefulness and perceived ease of use. International Journal of Business Information Systems, 36(2), 270-287. Go to original source...
    16. Halawi, L. A., McCarthy, R. V., & Aronson, J. E. (2008). An empirical investigation of knowledge management systems' success. Journal of Computer Information System, 48(2), 121-135.
    17. Hanks, L., Line, N., & Kim, W. G. W. (2017). The impact of the social servicescape, density, and restaurant type on perceptions of interpersonal service quality. International Journal of Hospitality Management, 61, 35-44. https://doi.org/10.1016/j.ijhm.2016.10.009 Go to original source...
    18. Hashemi, A., & Zare Chahooki, M. A. (2019). Telegram group quality measurement by user behavior analysis. Social Network Analysis and Mining, 9(1). https://doi.org/10.1007/s13278-019-0575-9 Go to original source...
    19. Hsu, C.-L., Yu, C.-C., & Wu, C.-C. (2013). Exploring the continuance intention of social networking websites: an empirical research. Information Systems and E-Business Management, 12(2), 139-163. https://doi.org/10.1007/s10257-013-0214-3 Go to original source...
    20. Hussein, R. S., Mohamed, H., & Kais, A. (2021). Antecedents of level of social media use: exploring the mediating effect of usefulness, attitude and satisfaction. Journal of Marketing Communications, 1-22. https://doi.org/10.1080/13527266.2021.1936125 Go to original source...
    21. Islami, M. M., Asdar, M., & Baumassepe, A. N. (2021). Analysis of Perceived Usefulness and Perceived Ease of Use to the Actual System Usage through Attitude Using Online Guidance Application. Hasanuddin Journal of Business Strategy, 3(1), 52-64. https://doi.org/10.26487/hjbs.v3i1.410 Go to original source...
    22. Kang, J.-W., & Namkung, Y. (2019). The information quality and source credibility matter in customers' evaluation toward food O2O commerce. International Journal of Hospitality Management, 78, 189-198. https://doi.org/10.1016/j.ijhm.2018.10.011 Go to original source...
    23. Kang, J., Tang, L., & Fiore, A. M. (2014). Enhancing consumer-brand relationships on restaurant Facebook fan pages: Maximizing consumer benefits and increasing active participation. International Journal of Hospitality Management, 36, 145-155. https://doi.org/10.1016/j.ijhm.2013.08.015 Go to original source...
    24. Karimpour, D., Chahooki, M. A. Z., & Hashemi, A. (2021). Telegram group recommendation based on users' migration. In 2021 26th International Computer Conference, Computer Society of Iran (CSICC) (pp. 1-6). IEEE. https://doi.org/10.1109/CSICC52343.2021.9420581 Go to original source...
    25. Kasilingam, D. L. (2020). Understanding the attitude and intention to use smartphone chatbots for shopping. Technology in Society, 62, 101280. https://doi.org/10.1016/j.techsoc.2020.101280 Go to original source...
    26. Khiabany, G. (2018). Citizenship and Cyber Politics in Iran. In Digital Middle East (pp. 217-238). Oxford University Press. Go to original source...
    27. Kim, S., Lee, S., & Lee, K. (2019). An Effect of Information System Quality of BRIS on Perceived Usefulness and User's Continuous Use Intention. Agribusiness and Information Management, 11(2), 16-24. https://doi.org/10.14771/aim.11.2.2 Go to original source...
    28. König, A., & Grippenkoven, J. (2020). The Actual Demand Behind Demand-Responsive Transport: Assessing Behavioral Intention to Use DRT Systems in two Rural Areas in Germany. Case Studies on Transport Policy, 8(3), 954-962. https://doi.org/10.1016/j.cstp.2020.04.011 Go to original source...
    29. Kuo, Y.-F., & Yen, S.-N. (2009). Towards an understanding of the behavioral intention to use 3G mobile value-added services. Computers in Human Behavior, 25(1), 103-110. https://doi.org/10.1016/j.chb.2008.07.007 Go to original source...
    30. Li, Y., & Shang, H. (2020). Service quality, perceived value, and citizens' continuous-use intention regarding e-government: Empirical evidence from China. Information & Management, 57(3), 103197. https://doi.org/10.1016/j.im.2019.103197 Go to original source...
    31. Machdar, N. M. (2019). The effect of information quality on perceived usefulness and perceived ease of use. Business and Entrepreneurial Review, 15(2), 131. https://doi.org/10.25105/ber.v15i2.4630 Go to original source...
    32. Meesala, A., & Paul, J. (2018). Service quality, consumer satisfaction and loyalty in hospitals: Thinking for the future. Journal of Retailing and Consumer Services, 40, 261-269. https://doi.org/10.1016/j.jretconser.2016.10.011 Go to original source...
    33. Mehdipour, S., Jannati, N., Negarestani, M., Amirzadeh, S., Keshvardoost, S., Zolala, F., ... & Fatehi, F. (2021). Health Pandemic and Social Media: A Content Analysis of COVID-Related Posts on a Telegram Channel With More Than One Million Subscribers. In Navigating Healthcare Through Challenging Times (pp. 122-129). IOS Press. Go to original source...
    34. Mensah, I. K. (2020). Perceived Usefulness and Ease of Use of Mobile Government Services. International Journal of Technology Diffusion, 11(1), 1-16. https://doi.org/10.4018/ijtd.2020010101 Go to original source...
    35. Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perception ofadopting an information technology innovation. Information System Research, 2, 192-222. Go to original source...
    36. Moss, T. P., Lawson, V., & White, P. (2015). Identification of the underlying factor structure of the Derriford Appearance Scale 24. PeerJ, 3, e1070. https://doi.org/10.7717/peerj.1070 Go to original source...
    37. Mustapha, B., & Obid, S. N. Bt. S. (2015). Tax Service Quality: The Mediating Effect of Perceived Ease of Use of the Online Tax System. Procedia - Social and Behavioral Sciences, 172, 2-9. https://doi.org/10.1016/j.sbspro.2015.01.328 Go to original source...
    38. Narmenji, S. M., Nowkarizi, M., Riahinia, N., & Zerehsaz, M. (2020). Investigating the Behavior of Sharing Information of Students in the Virtual Social Networks: Instagram, Telegram and WhatsApp. Sciences and Techniques of Information Management, 6(4), 49-78.
    39. Nurbani, K., & Meiyanti, F. (2019). The Impact of System Quality and Information Quality on User Satisfaction and User Performance. Jurnal Akuntansi, Manajemen dan Ekonomi, 21(2), 1-9.
    40. Pang, S., Bao, P., Hao, W., Kim, J., & Gu, W. (2020). Knowledge Sharing Platforms: An Empirical Study of the Factors Affecting Continued Use Intention. Sustainability, 12(6), 2341. https://doi.org/10.3390/su12062341 Go to original source...
    41. Rahi, S., Abd. Ghani, M., Alnaser, F. M., & Ngah, A. H. (2018). Investigating the role of unified theory of acceptance and use of technology (UTAUT) in internet banking adoption context. Management Science Letters, 173-186. https://doi.org/10.5267/j.msl.2018.1.001 Go to original source...
    42. Sarafraz, M. R., Chavoshi, H., & Alinaghi, M. (2019). Social Networks and Students: Educational Performance, Psychological Well-Being, and Mental Health. International Journal of School Health, 6(3), 1-6. https://doi.org/10.5812/intjsh.82609 Go to original source...
    43. Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education. Computers & Education, 128, 13-35. https://doi.org/10.1016/j.compedu.2018.09.009 Go to original source...
    44. Schillinger, F., & Schindelhauer, C. (2020). Recovering Private User Storages in Online Social medias. Journal of Internet Technology and Secured Transactions, 8, 687-698. Go to original source...
    45. Serrano-Malebrán, J., & Arenas-Gaitán, J. (2021). When does personalization work on social media? a posteriori segmentation of consumers. Multimedia Tools and Applications, 80(30), 36509-36528. https://doi.org/10.1007/s11042-021-11303-2 Go to original source...
    46. Shaikh, A.A., Glavee-Geo, R., & Karjaluoto, H. (2015). An Empirical Investigation of Mobile Banking Services Adoption in Pakistan. World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 9, 3797-3805.
    47. Swaid, S. I., & Wigand, R. T. (2007). Key dimensions of e-commerce service quality and its relationships to satisfaction and loyalty. In BLED 2007 Proceedings, (no. 29). AIS. http://aisel.aisnet.org/bled2007/29
    48. Wolfinbarger, M., & Gilly, M. C. (2003). eTailQ: dimensionalizing, measuring and predicting etail quality. Journal of Retailing, 79(3), 183-198. https://doi.org/10.1016/s0022-4359(03)00034-4 Go to original source...
    49. Shayegan, M. J., & Valizadeh, M. (2020). A Recommender System based on the analysis of personality traits in Telegram social network. https://arxiv.org/abs/2010.00643
    50. Tubaishat, A. (2017). Perceived usefulness and perceived ease of use of electronic health records among nurses: Application of Technology Acceptance Model. Informatics for Health and Social Care, 43(4), 379-389. https://doi.org/10.1080/17538157.2017.1363761 Go to original source...
    51. Ullah, A., Bin Baharun, R., Yasir, M., & MD Nor, K. (2020). Enterprise Resource Planning Systems and User Performance in Higher Education Institutions of Pakistan. Journal of Applied Economics and Business Studies, 4(2), 119-140. https://doi.org/10.34260/jaebs.426 Go to original source...
    52. Vijai, J. P. (2018). Examining the relationship between system quality, knowledge quality and user satisfaction in the success of knowledge management system: an empirical study. International Journal of Knowledge Management Studies, 9(3), 203-221. https://doi.org/10.1504/ijkms.2018.10015435 Go to original source...
    53. Weng, F., Yang, R.-J., Ho, H.-J., & Su, H.-M. (2018). A TAM-Based Study of the Attitude towards Use Intention of Multimedia among School Teachers. Applied System Innovation, 1(3), 36. https://doi.org/10.3390/asi1030036 Go to original source...
    54. Yalcintas, A., & Alizadeh, N. (2020). Digital protectionism and national planning in the age of the internet: the case of Iran. Journal of Institutional Economics, 16(4), 519-536. https://doi.org/10.1017/s1744137420000077 Go to original source...
    55. Yuan, X., Chu, K., & Cai, S. (2018). When Is Information Quality More Important?: The Moderating Effects of Perceived Market Orientation and Shopping Value. Journal of Global Information Management, 26(2), 204-232. Go to original source...
    56. Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085-1091. https://doi.org/10.1016/j.dss.2012.10.034 Go to original source...

    This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content