Factors Influencing 5G Adoption in Java: A Theory of Consumption Value and Stimulus-Organism-Response Approach

Authors

  • Lisdianto Dwi Kesumahadi UIN Sunan Kalijaga Yogyakarta
  • Muhammad Taufiq Nuruzzaman UIN Sunan Kalijaga Yogyakarta
  • Bambang Sugiantoro UIN Sunan Kalijaga Yogyakarta
  • Sumarsono Sumarsono UIN Sunan Kalijaga Yogyakarta

DOI:

https://doi.org/10.26555/jiteki.v11i1.30557

Keywords:

Theory of Consumption Value (TCV), Stimulus-Organism-Response (SOR), Guidance Affordance, Safety Affordance, Facilitation Conditions

Abstract

The rapid advancement of information and communication technology has led to a significant transformation in telecommunication networks, particularly with the introduction of 5G technology, which offers high speed, low latency, and extensive device connectivity. However, the adoption of 5G in Indonesia, particularly in Java, remains challenging due to unequal network distribution and disparities in purchasing power between urban and rural areas. This study examines the key factors influencing consumer acceptance of 5G services in Java using the Theory of Consumption Value (TCV) and Stimulus-Organism-Response (SOR) framework. A descriptive quantitative approach was applied, collecting primary data from 200 respondents through purposive sampling. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that Safety Affordance and Facilitation Conditions significantly influence consumption value, whereas Visibility Affordance and Guidance Affordance do not. These results highlight the importance of security perceptions and supporting infrastructure in 5G adoption. This study contributes to the theoretical understanding of technology adoption by integrating TCV and SOR in the context of 5G and provides practical recommendations for policymakers and service providers to enhance 5G implementation, particularly by addressing infrastructure gaps in rural areas.

References

[1] C. Singh and D. Agre, “A Comparative Analysis Of 4g, 5g, And 6g: Performance Evaluation and Statistical Insights,” J. Commonw. Law Leg. Educ., vol. 53, no. 1, pp. 119–125, 2024, https://doi.org/10.1080/03050710600800046.

[2] D. Marya and A. Wahyudin, “Analisis Perbandingan Performa Pada Perancangan Jaringan 5G New Radio Menggunakan Frekuensi 3,5 Dan 24 Ghz Di Kota Yogyakarta Comparisonal Analysis of Performance on 5G New Radio Network Design Using 3.5 and 24 Ghz Frequency in Yogyakarta City,” J. Elektro Telekomun., vol. 9, no. 1, pp. 1199–1211, 2022, [Online]. Available: https://doi.org/10.25124/jett.v9i1.5052.

[3] H. Oinas-Kukkonen, P. Karppinen, and M. Kekkonen, “5G and 6G Broadband Cellular Network Technologies as Enablers of New Avenues for Behavioral Influence with Examples from Reduced Rural-Urban Digital Divide,” Urban Sci., vol. 5, no. 3, 2021, https://doi.org/10.3390/urbansci5030060.

[4] S. K. Shah, Z. Tang, S. M. F. Sharif, and A. Tanveer, “An empirical study of Chinese students’ behavioral intentions to adopt 5G for smart-learning in Covid-19,” Smart Learn. Environ., vol. 8, no. 1, 2021, https://doi.org/10.1186/s40561-021-00172-9.

[5] F. De Canio, E. Martinelli, and E. Endrighi, “Enhancing consumers’ pro-environmental purchase intentions: the moderating role of environmental concern,” Int. J. Retail Distrib. Manag., vol. 49, no. 9, pp. 1312–1329, 2020, https://doi.org/10.1108/IJRDM-08-2020-0301.

[6] G. F. Huseien and K. W. Shah, “A review on 5G technology for smart energy management and smart buildings in Singapore,” Energy AI, vol. 7, p. 100116, 2022, https://doi.org/10.1016/j.egyai.2021.100116.

[7] S. Hutajulu, W. Dhewanto, and E. Prasetio, “Two scenarios for 5G deployment in Indonesia,” Technol. Forecast. Soc. Change, vol. 160, p. 120221, Nov. 2020, https://doi.org/10.1016/j.techfore.2020.120221.

[8] N. Halilatushalihah, “Revolusi Menuju Era Teknologi 5G,” ResearchGate, no. January, 2021, https://doi.org/10.13140/RG.2.2.17508.60801.

[9] J. Choudrie, S. Pheeraphuttranghkoon, and S. Davari, “The Digital Divide and Older Adult Population Adoption, Use and Diffusion of Mobile Phones: a Quantitative Study,” Inf. Syst. Front., vol. 22, no. 3, pp. 673–695, 2020, https://doi.org/10.1007/s10796-018-9875-2.

[10] A. Mehra, S. Rajput, and J. Paul, “Determinants of adoption of latest version smartphones: Theory and evidence,” Technol. Forecast. Soc. Change, vol. 175, p. 121410, Feb. 2022, https://doi.org/10.1016/j.techfore.2021.121410.

[11] J. Jun, C. Galambos, and K. Lee, “Information and Communication Technology Use, Social Support, and Life Satisfaction among Korean Immigrant Elders,” J. Soc. Serv. Res., vol. 47, pp. 1–16, Nov. 2020, https://doi.org/10.1080/01488376.2020.1848969.

[12] H. Guner and C. Acarturk, “The use and acceptance of ICT by senior citizens: a comparison of technology acceptance model (TAM) for elderly and young adults,” Univers. Access Inf. Soc., vol. 19, Jun. 2020, https://doi.org/10.1007/s10209-018-0642-4.

[13] K. Y. Koay and M. K. Leong, “Understanding consumers’ intentions to use drone food delivery services: a perspective of the theory of consumption values,” Asia-Pacific J. Bus. Adm., 2023, https://doi.org/10.1108/APJBA-04-2023-0155.

[14] D. Chakraborty, G. Kayal, R. Nunkoo, and N. Rana, “Digitalization and sustainability: virtual reality tourism in a post pandemic world,” J. Sustain. Tour., vol. 31, no. 11, pp. 2564–2591, 2023, https://doi.org/10.1080/09669582.2022.2029870.

[15] A. Dhir, P. Kaur, and R. Rajala, “Continued Use of Mobile Instant Messaging Apps: A New Perspective on Theories of Consumption, Flow, and Planned Behavior,” Soc. Sci. Comput. Rev., vol. 38, no. 2, pp. 147–169, Nov. 2020, https://doi.org/10.1177/0894439318806853.

[16] A. Tandon, P. Kaur, Y. Bhatt, M. Mäntymäki, and A. Dhir, “Why do people purchase from food delivery apps? A consumer value perspective,” J. Retail. Consum. Serv., vol. 63, 2021, https://doi.org/10.1016/j.jretconser.2021.102667.

[17] P. Das and S. Das, “Generative Adversarial Networks in Fashion Retailing and Customer Purchase Intention: An Extension of Theory of Consumption Value,” Vision, 2024, https://doi.org/10.1177/09722629241291731.

[18] Y. Guo, Y. Zhu, and J. Chen, “Business Model Innovation of IT-Enabled Customer Participating in Value Co-Creation Based on the Affordance Theory: A Case Study,” Sustainability, vol. 13, p. 5753, May 2021, https://doi.org/10.3390/su13105753.

[19] P. T. Kotler and G. Armstrong, Principles of Marketing, 18th Global Edition. Pearson Higher Ed, 2020, https://elibrary.pearson.de/book/99.150005/9781292341200'.

[20] C. Tanrikulu, “Theory of consumption values in consumer behaviour research: A review and future research agenda,” Int. J. Consum. Stud., vol. 45, no. 6, pp. 1176–1197, 2021, https://doi.org/10.1111/ijcs.12687.

[21] M. A. M. Saif, N. Hussin, M. M. Husin, A. Muneer, and A. Alwadain, “Beyond conventions: Unravelling perceived value’s role in shaping digital-only banks’ adoption,” Technol. Forecast. Soc. Change, vol. 203, p. 123337, 2024, https://doi.org/10.1016/j.techfore.2024.123337.

[22] M. Akbari, A. Rezvani, E. Shahriari, M. Á. Zúñiga, and H. Pouladian, “Acceptance of 5 G technology: Mediation role of Trust and Concentration,” J. Eng. Technol. Manag., vol. 57, p. 101585, 2020, https://doi.org/10.1016/j.jengtecman.2020.101585.

[23] S. K. Shah, P. T. Zhongjun, J. Oláh, J. Popp, and Á. Acevedo-Duque, “The relationship between 5G technology affordances, consumption values, trust and intentions: An exploration using the TCV and S-O-R paradigm,” Heliyon, vol. 9, no. 3, 2023, https://doi.org/10.1016/j.heliyon.2023.e14101.

[24] M. Meijani, A. Rousta, and D. Jamshidi, “Employing the creative approach of brand addiction to develop a model of repurchasing luxury products,” Innov. Creat. Hum. Sci., vol. 10, no. 4, pp. 113–142, 2021, [Online]. Available: https://sid.ir/paper/394786/en.

[25] I. Tuncer, “The relationship between IT affordance, flow experience, trust, and social commerce intention: An exploration using the S-O-R paradigm,” Technol. Soc., vol. 65, p. 101567, 2021, https://doi.org/10.1016/j.techsoc.2021.101567.

[26] U. A. Saari, S. Damberg, L. Frömbling, and C. M. Ringle, “Sustainable consumption behavior of Europeans: The influence of environmental knowledge and risk perception on environmental concern and behavioral intention,” Ecol. Econ., vol. 189, 2021, https://doi.org/10.1016/j.ecolecon.2021.107155.

[27] M. F. Shahzad, S. Xu, K. I. Khan, and M. F. Hasnain, “Effect of social influence, environmental awareness, and safety affordance on actual use of 5G technologies among Chinese students,” Sci. Rep., vol. 13, no. 1, pp. 1–16, 2023, https://doi.org/10.1038/s41598-023-50078-4.

[28] M. Sarstedt, C. M. Ringle, and J. F. Hair, Handbook of Market Research, Springer. 2021. https://doi.org/10.1007/978-3-319-05542-8.

[29] J. N. Sheth, B. I. Newman, and B. L. Gross, “Why we buy what we buy: A theory of consumption values,” J. Bus. Res., vol. 22, no. 2, pp. 159–170, 1991, https://doi.org/10.1016/0148-2963(91)90050-8.

[30] S. K. Shah, Z. Tang, and M. Ahmad, “Expounding on the Role of Sustainability Values (SVs) on Users’ Switching Intentions Regarding Disruptive 5G Technology in China BT - Inventive Communication and Computational Technologies,” Inventive Communication and Computational Technologies: Proceedings of ICICCT, pp. 693–705, 2023, https://doi.org/10.1007/978-981-19-4960-9_53.

[31] S. Mustafa, W. Zhang, M. U. Shehzad, A. Anwar, and G. Rubakula, “Does Health Consciousness Matter to Adopt New Technology? An Integrated Model of UTAUT2 With SEM-fsQCA Approach,” Front. Psychol., vol. 13, no. February, pp. 1–19, 2022, https://doi.org/10.3389/fpsyg.2022.836194.

[32] S. K. Shah, T. Zhongjun, A. Sattar, and Z. XinHao, “Consumer’s intention to purchase 5G: Do environmental awareness, environmental knowledge and health consciousness attitude matter?,” Technol. Soc., vol. 65, p. 101563, 2021, https://doi.org/10.1016/j.techsoc.2021.101563.

[33] R. Singh et al.., “Highway 4.0: Digitalization of highways for vulnerable road safety development with intelligent IoT sensors and machine learning,” Saf. Sci., vol. 143, p. 105407, 2021, https://doi.org/10.1016/j.ssci.2021.105407.

[34] X. Dong and T. Wang, “Social tie formation in Chinese online social commerce: The role of IT affordances,” Int. J. Inf. Manage., vol. 42, no. June, pp. 49–64, 2018, https://doi.org/10.1016/j.ijinfomgt.2018.06.002.

[35] B. J. Garrick, “Technological stigmatism, risk perception, and truth,” Reliab. Eng. Syst. Saf., vol. 59, no. 1, pp. 41–45, 1998, https://doi.org/10.1016/S0951-8320(97)00117-8.

[36] C. Harrington et al.., “Integration and Sustainability of Electronic Surgical Logbooks in Sub-Saharan Africa,” World J. Surg., vol. 44, May 2020, https://doi.org/10.1007/s00268-020-05613-z.

[37] S. Forge and K. Vu, “Forming a 5G strategy for developing countries: A note for policy makers,” Telecomm. Policy, vol. 44, no. 7, p. 101975, 2020, https://doi.org/10.1016/j.telpol.2020.101975.

[38] E. O’Connell, D. Moore, and T. Newe, “Challenges Associated with Implementing 5G in Manufacturing,” Telecom, vol. 1, no. 1, pp. 48–67, 2020, https://doi.org/10.3390/telecom1010005.

[39] Y. Moon and D. J. Armstrong, “Service quality factors affecting customer attitudes in online-to-offline commerce,” Inf. Syst. E-bus. Manag., vol. 18, no. 1, pp. 1–34, 2020, https://doi.org/10.1007/s10257-019-00459-y.

[40] M. G. Khwaja, S. Mahmood, and U. Zaman, “Examining the effects of ewom, trust inclination, and information adoption on purchase intentions in an accelerated digital marketing context,” Inf., vol. 11, no. 10, pp. 1–12, 2020, https://doi.org/10.3390/info11100478.

[41] E. A. de M. Watanabe, S. Alfinito, I. C. G. Curvelo, and K. M. Hamza, “Perceived value, trust and purchase intention of organic food: a study with Brazilian consumers,” Br. Food J., vol. 122, no. 4, pp. 1070–1184, Jan. 2020, https://doi.org/10.1108/BFJ-05-2019-0363.

[42] K. Ulan, A. K. R. P, and D. A. P. Sari, “Pengaruh Electronic Word of Mouth dan Brand Image terhadap Purchase Intention dengan Brand Awareness sebagai Intervening: Studi Pada Produsen Dessert Box,” J. Bisnis, Manajemen, dan Keuang., vol. 3, no. 2, pp. 354–373, 2022, https://doi.org/10.21009/jbmk.0302.03.

[43] J. F. Hair, M. Sarstedt, and C. M. Ringle, Handbook of Market Research, Springer. 2021. https://doi.org/10.1007/978-3-319-05542-8.

[44] W. W. Chin and P. R. Newsted, “The partial least squares approach to structural equation modeling. Modern methods for business research,” Stat. Strateg. Small Sample Res., pp. 295-336., 1998, https://books.google.com.sg/books?hl=en&lr=&id=EDZ5AgAAQBAJ&oi=fnd.

[45] M. G. Chin W, “The Partial Least Squares Approach to Structural Formula Modeling,” Adv. Hosp. Leis., vol. 8, no. 2, p. 5, 1998. https://books.google.co.id/books?hl=id&lr=&id=2eV4AgAAQBAJ&oi=fnd.

[46] E. Choi and S. M. Jeon, “How IT Affordance Influences Engagement in Live Commerce: An Empirical Analysis Focusing on Social Cues as Moderating Effect,” Asia Pacific J. Inf. Syst., vol. 32, no. 2, pp. 327–353, 2022, https://doi.org/10.14329/apjis.2022.32.2.327.

[47] X. Chen, Y. Zhu, and X. Xu, “Being there and being with them: the effects of visibility affordance of online short fitness video on users’ intention to cloud fitness,” Front. Psychol., vol. 15, pp. 1–12, 2024, https://doi.org/10.3389/fpsyg.2024.1267502.

[48] J. Iqbal, D. Yu, M. Zubair, M. I. Rasheed, H. M. U. Khizar, and M. Imran, “Health Consciousness, Food Safety Concern, and Consumer Purchase Intentions Toward Organic Food: The Role of Consumer Involvement and Ecological Motives,” SAGE Open, vol. 11, no. 2, 2021, https://doi.org/10.1177/21582440211015727.

[49] A. H. Nugroho, M. S. R. Siemaputra, and W. Roswinanto, “Anteseden Niat Pembelian Dalam Aplikasi Online Food Delivery Services: Pengembangan Model Kaur, Et al.. (2020),” J. Manaj. Pemasar., vol. 16, no. 2, pp. 96–103, 2022, https://doi.org/10.9744/pemasaran.16.2.96-103.

[50] M. Hina, N. Islam, and A. Dhir, “Blockchain for sustainable consumption: an affordance and consumer value-based view,” Internet Res., vol. 34, no. 7, pp. 215–250, 2024, https://doi.org/10.1108/INTR-07-2023-0523.

[51] J. M. Jorquera Valero et al.., Design of a Security and Trust Framework for 5G Multi-domain Scenarios, vol. 30, no. 1, 2022. https://doi.org/10.1007/s10922-021-09623-7.

[52] E. V. A. Karyoto, Y. T. Wiranti, and M. I. A. Putera, “Pengaruh Behavioral Intention Terhadap Use Behavior Pada Penggunaan Aplikasi Gojek,” Teknika, vol. 13, no. 1, pp. 109–119, 2024, https://doi.org/10.34148/teknika.v13i1.761.

Downloads

Published

2025-03-18

How to Cite

[1]
L. D. Kesumahadi, M. T. Nuruzzaman, B. Sugiantoro, and S. Sumarsono, “Factors Influencing 5G Adoption in Java: A Theory of Consumption Value and Stimulus-Organism-Response Approach”, J. Ilm. Tek. Elektro Komput. Dan Inform, vol. 11, no. 1, pp. 79–91, Mar. 2025.

Issue

Section

Articles

Similar Articles

1 2 3 > >> 

You may also start an advanced similarity search for this article.