The Impact of Service Quality, Subjective Norms, and Voluntariness on Acceptance of Provider’s Mobile Telecommunication Service in Jordan


  • Enas Ali Theeb Alnawafleh
  • Abdul Malek A Tambi
  • Abdul Aziz Abdullah
  • Ghaith Abdulraheem Ali Alsheikh
  • Puspa Liza Ghazali
  • . .





Technology, Service, Quality, Behavior, Intention, Telecommunication.


Technology has made life easier in today’s world. In addition, developments in technologies and communication have become commonplace for majority of people. Global telecommunication development has reduced distances around the globe, and made it easy for businesses to proliferate worldwide. This study explored the factors affecting the use of telecommunication services among customers through mobile phones. The Technology Acceptance Model (TAM) has been extensively used in the field of technology use but is lacking when it comes to factors that affect customers’ intention to use service as they focus more on technology. On the basis of review findings, there is a positive relationship between service quality, subjective norms, perceived usefulness and perceived ease of use of service and voluntariness moderates the relationship between subjective norms and intention to use service. These and other relationships are considered in the development of a Service Acceptance Model.




Hajir JA, Obeidat B, Al-dalahmeh M & Masa’deh R (2015), The role of knowledge management infrastructure in enhancing innovation at mobile telecommunication companies in Jordan. European Journal of Social Sciences 50(3), 313-330.

[2] Alnsour M, Abu Tayeh B, & Awwad Alzyadat M (2014), Using SERVQUAL to assess the quality of service provided by Jordanian telecommunications sector. International Journal of Commerce and Management 24(3), 209-218.

[3] Al-Hubaishi HS, Ahmad SZ & Hussain M (2017), Exploring mobile government from the service quality perspective. Journal of Enterprise Information Management 30(1), 4-16.

[4] Olatokun WM & Ojo FO (2016), Influence of service quality on consumers’ satisfaction with mobile telecommunication services in Nigeria. Information Development 32(3), 398-408.

[5] Sung M, Cho S-H, Kim KS, Kwon HK,. Kang B-S, Oh DS, Lyu D-S, Lee H, Kim SM,. Lee JH & Chung HS (2017), Demonstration of IFoF based 5G mobile fronthaul in 28 GHz millimeter wave testbed supporting Giga-bit mobile services. Proceedings of the IEEE Optical Fiber Communication Conference, pp. 1-12.

[6] Heo J-Y, Lim CH & Kim KJ (2017), Scales for measuring mobile service quality: A literature review and identification of key dimensions. International Journal of Services and Operations Management 27(4), 524-548.

[7] Cunningham K (2002), Factors influencing Jordan's information revolution: Implications for democracy. Middle East Journal 56(2), 240-256.

[8] Khan AI, Al-Shihi H, Al-Khanjari ZA, & Sarrab M (2015), Mobile Learning (M-Learning) adoption in the Middle East: Lessons learned from the educationally advanced countries. Telematics and Informatics 32(4), 909-920.

[9] Hai PT, Le Duc Toan VVT & Thuong MT (2017), Factors affecting customer satisfaction with the quality of services: Empirical evidence at Da Nang international airport, Vietnam. Asian Journal of Empirical Research 7(3), 61-74.

[10] Li L, Su Q & Chen X (2011), Ensuring supply chain quality performance through applying the SCOR model. International Journal of Production Research 49(1), 33-57.

[11] Qutaishat FT, Khattab SA, Zaid MKSA & Al-Manasra EA (2012), The effect of ERP successful implementation on employees' productivity, service quality and innovation: An empirical study in telecommunication sector in Jordan. International Journal of Business and Management 7(19), 45-54.

[12] Parasuraman A, Zeithaml VA & Berry LL (1988), SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing 64(1), 12-40.

[13] Joudeh JMM (2017), The impact of service quality dimensions upon customers' satisfaction: An empirical study applied in the Jordanian mobile telecommunication sector. International Review of Management and Business Research 6(1), 184-198.

[14] Ojo O (2010), The relationship between service quality and customer satisfaction in the telecommunication industry: Evidence from Nigeria. BRAND. Broad Research in Accounting, Negotiation, and Distribution 1(1), 88-100.

[15] Twaissi N & Al-Kilani M (2015), The impact of perceived service quality on students’ intentions in higher education in a Jordanian governmental university. International Business Research 8(5), 81-92.

[16] Ajzen I & Fishbein M (1980), Understanding attitudes and predicting social behaviour. Prentice Hall.

[17] Ajzen I (1991), The theory of planned behavior. Organizational Behavior and Human Decision Processes 50, 179-211.

[18] Ruiz Mafe CR, Blas SS & Tavera-Mesías J (2010), A comparative study of mobile messaging services acceptance to participate in television programmes. Journal of Service Management 21(1), 69-102.

[19] Ajzen I & Fishbein M (1975), Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley.

[20] Davis FD, Bagozzi RB & Warshaw PR (1989), User acceptance of computer technology: A comparison of two theoretical models. Management Science 35(8), 982-1003.

[21] Kuo YF, Wu CM & Deng WJ (2009), The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in Human Behavior 25(4), 887-896.

[22] Liao C, Chen JL & Yen DC (2007), Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in Human Behavior 23(6), 2804-2822.

[23] Al-Azzam AFM (2015), The impact of service quality dimensions on customer satisfaction: A field study of Arab bank in Irbid city, Jordan. European Journal of Business and Management 7(15), 45-53.

[24] Fong KK-Y & Wong SKS (2015), Factors influencing the behavior intention of mobile commerce service users: An exploratory study in Hong Kong. International Journal of Business and Management 10(7), 39-47.

[25] Valtonen T, Kukkonen J, Kontkanen S, Sormunen K, Dillon P & Sointu E (2015), The impact of authentic learning experiences with ICT on pre-service teachers' intentions to use ICT for teaching and learning. Computers and Education 81, 49-58.

[26] Utami CW (2017), Attitude, subjective norm, perceived behaviour, entrepreneurship education and self efficacy toward entrepreneurial intention university student in Indonesia. European Research Studies 10(2A), 475-495.

[27] Mahmoud MA (2014) Attitudes, subjective norms and perceived behavioural control on entrepreneurial intention of Nigerian Postgraduates in UUM. Master thesis, Universiti Utara Malaysia.

[28] Wedayanti NPAA & Giantari IGAK (2015), Peranan pendidikan kewirausahaan dalam memediasi pengaruh norma subjektif terhadap niat berwirausaha. E-Jurnal Manajemen Unud 5(1), 533-560.

[29] Sánchez-Prieto C, Olmos-Migueláñez S & García-Peñalvo F (2017), MLearning and pre-service teachers: An assessment of the behavioral intention using an expanded TAM model. Computers in Human Behavior 72, 644-654.

[30] Maulana HDJ, Sos S & Kes M (2009), Promosi Kesehatan. EGC.

[31] Shin D (2014), Beyond user experience of cloud service: Implication for value sensitive approach. Telematics and Informatics 32(1), 33-44.

[32] Wang H-Y & and Wu S-Y (2014), Factors influencing behavioural intention to patronise restaurants using iPad as a menu card. Behaviour and Information Technology, 33(4), 395-409.

[33] Kalinic Z & Marinkovic V (2016), Determinants of users’ intention to adopt m-commerce: An empirical analysis. Information Systems and e-Business Management 14(2), 367-387.

[34] Moridis C, Terzis V & Economides A (2017), The effect of instant emotions on behavioral intention to use a computer based assessment system. Proceedings of the IEEE Global Engineering Education Conference, pp. 1457-1462.

[35] Teng W, Lu H-P & Yu H (2009), Exploring the mass adoption of third-generation (3G) mobile phones in Taiwan. Telecommunications Policy 33(10-11), 628-641.

[36] Rezaei S, Amin M, Moghaddam M & Mohamed (2016), 3G post adoption users experience with telecommunications services: A partial least squares (PLS) path modelling approach. Nankai Business Review International 7(3), 361-394.

[37] Thirumalai S & Sinha K (2011), Customization of the online purchase process in electronic retailing and customer satisfaction: An online field study. Journal of Operations Management 29(5), 477-487.

[38] Agag G. & El-Masry A (2016), Understanding the determinants of hotel booking intentions and moderating role of habit. International Journal of Hospitality Management 54, 52-67.

[39] Ayeh JK (2015), Travellers’ acceptance of consumer-generated media: An integrated model of technology acceptance and source credibility theories. Computers in Human Behavior 48, 173-180.

[40] Persico D, Manca S & Pozzi F (2014), Adapting the Technology Acceptance Model to evaluate the innovative potential of e-learning systems. Computers in Human Behavior 30, 614-622.

[41] Workman M (2014), New media and the changing face of information technology use: The importance of task pursuit, social influence, and experience. Computers in Human Behavior 31, 111-117.

[42] Chong AY-L (2013), Understanding mobile commerce continuance intentions: An empirical analysis of Chinese consumers. Journal of Computer Information Systems 53(4), 22-30.

[43] Hao S, Dennen V & Mei L (2017), Influential factors for mobile learning acceptance among Chinese users. Educational Technology Research and Development 65(1), 101-123.

[44] Shiau Wl & Chau P (2016), Understanding behavioral intention to use a cloud computing classroom: A multiple model comparison approach. Information and Management 53(3), 355-365.

[45] Venkatesh V & Davis F (2000), A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science 46(2), 186-204.

[46] Legris P, Ingham J & Collerette P (2003), Why do people use information technology? A critical review of the technology acceptance model. Information and Management 40(3), 191-204.

[47] Ajzen I (1985), From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckman (Eds.), Action Control. Berlin: Springer, pp. 11-39.

[48] Lam T & Hsu C (2006), Predicting behavioral intention of choosing a travel destination. Tourism Management 27(4), 589-599.

[49] Cheng S, Lam T & Hsu CHC (2006), Negative word-of-mouth communication intention: An application of the theory of planned behavior. Journal of Hospitality and Tourism Research 30(1), 95-116.

[50] Sparks B & Pan GW (2009), Chinese outbound tourists: Understanding their attitudes, constraints and use of information sources. Tourism Management, 30(4), 483-494.

[51] Venkatesh V, Morris MG, Davis GB & Davis FD (2003), User acceptance of information technology: Toward a unified view. MIS Quarterly 27(3), 425-478.

[52] Alenezi AR (2011), An adoption of the TAM model to determine factors affecting students' acceptance of e-learning in institutions of higher education in Saudi Arabia. PhD thesis, Universiti Utara Malaysia.

[53] Parasuraman A, Zeithaml VA, Berry LL (1988), SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing 64(1), 12-40.

[53] Khairi MO (2015), The moderating effects of the government support and religious obligations on the relationship between service quality, knowledge and awareness of Islamic banking system and the intention to subscribe the system in Libya. DBA thesis, Universiti Utara Malaysia.

[54] Izogo EE (2017), Customer loyalty in telecom service sector: The role of service quality and customer commitment. TQM Journal 29(1), 19-36.

[55] Aldehayyat JS, Al Khattab A & Anchor JR (2011), The use of strategic planning tools and techniques by hotels in Jordan. Management Research Review 34(4), 477-490.

[56] Chen Y-M, Hsu TH & Lu Y-J (2018), Impact of flow on mobile shopping intention. Journal of Retailing and Consumer Service 41, 281-287.

[57] Hur WM, Kim H & Kim WM (2014), The moderating roles of gender and age in tablet computer adoption. Cyberpsychology, Behavior, and Social Networking 17(1), 33-39.

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How to Cite

Ali Theeb Alnawafleh, E., Malek A Tambi, A., Aziz Abdullah, A., Abdulraheem Ali Alsheikh, G., Liza Ghazali, P., & ., . (2018). The Impact of Service Quality, Subjective Norms, and Voluntariness on Acceptance of Provider’s Mobile Telecommunication Service in Jordan. International Journal of Engineering & Technology, 7(4.34), 149–152.
Received 2018-12-13
Accepted 2018-12-13
Published 2018-12-13