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Vol. 9, No. 4, November 2024

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Exploring Trust, Privacy, and Security in Cloud Storage Adoption among Generation Z: An Extended TAM Approach

https://doi.org/10.22219/kinetik.v9i4.2009
Rio Guntur Utomo
Telkom University
Rahmat Yasirandi
King Mongkut's Institute of Technology Ladkrabang

Corresponding Author(s) : Rio Guntur Utomo

riogunturutomo@telkomuniversity.ac.id

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol. 9, No. 4, November 2024

Abstract

The incorporation of cloud storage technology holds the promise of significantly enhancing efficiency in various sectors, particularly from the perspective of Generation Z, a demographic known for its meticulous consideration of technology acceptance factors, especially security. This research thoroughly examines the level of acceptance of cloud storage technology among Generation Z. By augmenting the Technology Acceptance Model (TAM) with five core factors and introducing three novel factors—Perceived Security, Perceived Privacy, and Trust—this study not only adheres to traditional acceptance models but also ventures into uncharted territories, marking a significant contribution to understanding technology acceptance. This study meticulously collected data from 408 Generation Z respondents who actively use cloud storage technology, employing an innovative questionnaire disseminated via an online platform. Through sophisticated PLS-SEM data analysis, the study confirmed the positive and significant impact of all tested hypotheses, underscoring the importance of attitudes, perceived benefits, and usability in fostering the intention to use cloud storage. Notably, the added dimensions of privacy and security emerged as critical in enhancing users' trust in cloud storage solutions. Furthermore, this study paves the way for future explorations into technology acceptance across diverse populations and settings, underscoring the critical role of security and privacy in shaping technology adoption decisions among emerging generations.

Keywords

Privacy Security Cloud Storage Extended Technology Acceptance Model Generation Z
Utomo, R. G., & Yasirandi, R. (2024). Exploring Trust, Privacy, and Security in Cloud Storage Adoption among Generation Z: An Extended TAM Approach. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 9(4). https://doi.org/10.22219/kinetik.v9i4.2009
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References
  1. R. G. Duffett, “Influence of Facebook Commercial Communications on Generation Z’s Attitudes in South Africa,” The Electronic Journal of Information Systems in Developing Countries, vol. 81, no. 1, pp. 1–22, Jul. 2017. https://doi.org/10.1002/j.1681-4835.2017.tb00600.x
  2. Monavia Ayu Rizaty, “APJII: Data Jumlah Pengguna Internet di Indonesia hingga 2024.”
  3. Niaz Ahmed, “Generation Z’s Smartphone and Social Media Usage: A Survey,” Journalism and Mass Communication, vol. 9, no. 3, Mar. 2019. https://doi.org/10.17265/2160-6579/2019.03.001
  4. N. vurukonda and B. T. Rao, “A Study on Data Storage Security Issues in Cloud Computing,” Procedia Comput Sci, vol. 92, pp. 128–135, 2016. https://doi.org/10.1016/j.procs.2016.07.335
  5. A. Alruthaya, T.-T. Nguyen, and S. Lokuge, “The Application of Digital Technology and the Learning Characteristics of Generation Z in Higher Education,” in Australasian Conference on Information Systems, 2021. https://doi.org/10.48550/arXiv.2111.05991.
  6. A. E. Widjaja, J. V. Chen, B. M. Sukoco, and Q.-A. Ha, “Understanding users’ willingness to put their personal information on the personal cloud-based storage applications: An empirical study,” Comput Human Behav, vol. 91, pp. 167–185, Feb. 2019. https://doi.org/10.1016/j.chb.2018.09.034
  7. A. Shachak, C. Kuziemsky, and C. Petersen, “Beyond TAM and UTAUT: Future directions for HIT implementation research,” J Biomed Inform, vol. 100, p. 103315, Dec. 2019. https://doi.org/10.1016/j.jbi.2019.103315
  8. M. A. Bazel, H. Haron, I. Ismail, Suryanto, and A. Gui, “Factors Influencing Intention to Use Cloud Storage Services Amongst Postgraduate Students in Malaysian Technical Universities,” International Conference on Information Management and Technology, pp. 350–355, Nov. 2018. https://doi.org/10.1109/ICIMTech.2018.8528179
  9. S. Tripathi and V. Mishra, “Determinants of Cloud Computing Adoption: A Comparative Study,” Pacific Asia Journal of the Association for Information Systems, vol. 11, no. 3, p. 3, Sep. 2019. https://doi.org/10.17705/1pais.11303
  10. W. Ploysuayngam and S. Tangwannawit, “Investigating the Determinants of Cloud Storage Services Adoption in Higher Education,” 6th International Conference on Information Technology, InCIT 2022, pp. 245–250, 2022. https://doi.org/10.1109/InCIT56086.2022.10067328
  11. Y. Li, K. C. Chang, and J. Wang, “Self-Determination and Perceived Information Control in Cloud Storage Service,” Journal of Computer Information Systems, vol. 60, no. 2, pp. 113–123, Mar. 2020. https://doi.org/10.1080/08874417.2017.1405294
  12. M. Pańkowska, K. Pyszny, and A. Strzelecki, “Users’ Adoption of Sustainable Cloud Computing Solutions,” Sustainability 2020, Vol. 12, Page 9930, vol. 12, no. 23, p. 9930, Nov. 2020. https://doi.org/10.3390/su12239930
  13. D. Dhagarra, M. Goswami, and G. Kumar, “Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective.,” Int J Med Inform, vol. 141, Sep. 2020. https://doi.org/10.1016/j.ijmedinf.2020.104164
  14. N. Kumar, M. Singh, K. Upreti, and D. Mohan, “Blockchain Adoption Intention in Higher Education: Role of Trust, Perceived Security and Privacy in Technology Adoption Model,” Proceedings of International Conference on Emerging Technologies and Intelligent Systems, vol. 299, pp. 303–313, 2022. https://doi.org/10.1007/978-3-030-82616-1_27
  15. S. Mason, R. Spiwak, and S. Logsetty, “Population-based research using administrative data to evaluate long-term outcomes in burn injury,” Handbook of Burns, vol. 1, pp. 85–92, Oct. 2019. https://doi.org/10.1007/978-3-030-18940-2_5
  16. C. Seemiller and M. Grace, Generation Z：A Century in the Making. 2019.
  17. A. Szymkowiak, B. Melović, M. Dabić, K. Jeganathan, and G. S. Kundi, “Information technology and Gen Z: The role of teachers, the internet, and technology in the education of young people,” Technol Soc, vol. 65, p. 101565, May 2021. https://doi.org/10.1016/j.techsoc.2021.101565
  18. J. E. Rudolph, Y. Zhong, P. Duggal, S. H. Mehta, and B. Lau, “Defining representativeness of study samples in medical and population health research,” BMJ Medicine, vol. 2, no. 1, p. e000399, May 2023. https://doi.org/10.1136/bmjmed-2022-000399
  19. B. G. Winton and M. A. Sabol, “A multi-group analysis of convenience samples: free, cheap, friendly, and fancy sources,” Int J Soc Res Methodol, vol. 25, no. 6, pp. 861–876, 2022. https://doi.org/10.1080/13645579.2021.1961187
  20. A. M. Adam, “Sample Size Determination in Survey Research,” J Sci Res Rep, pp. 90–97, Jun. 2020. https://doi.org/10.9734/jsrr/2020/v26i530263.
  21. V. Van Nhi and P. T. Lam, “The role of perceived usefulness in the relationship between task — technology fit and individual job performance in ERP implementation — evidence from Vietnam’s enterprises,” Science & Technology Development Journal - Economics - Law and Management, vol. 3, no. 4, pp. 449–459, Feb. 2020. https://doi.org/10.32508/stdjelm.v3i4.587
  22. S. Baskaran, H. S. Lay, B. S. Ming, and N. Mahadi, “Technology Adoption and Employee’s Job Performance: An Empirical Investigation,” International Journal of Academic Research in Economics and Management Sciences, vol. 9, no. 1, pp. 78–105, Apr. 2020. http://dx.doi.org/10.6007/IJAREMS/v9-i1/7443
  23. A. Al Hadwer, M. Tavana, D. Gillis, and D. Rezania, “A Systematic Review of Organizational Factors Impacting Cloud-based Technology Adoption Using Technology-Organization-Environment Framework,” Internet Things, vol. 15, Sep. 2021. https://doi.org/10.1016/j.iot.2021.100407
  24. O. Ogbanufe, C. C. Dinulescu, X. Liu, and C. Y. Kucuk, “It’s in the Cloud: Theorizing Context-Specific Factors Influencing the Perception of Mobile Cloud Storage,” Data Base, vol. 50, no. 3, pp. 116–137, Aug. 2019. https://doi.org/10.1145/3353401.3353408
  25. E. S. Tenakwah, E. J. Tenakwah, M. Amponsah, S. Eyaa, E. Boateng, and N. Okhawere, “Adoption of Sustainable Technologies during Crisis: Examining Employees’ Perception and Readiness across Cultures,” Sustainability, vol. 14, no. 8, Apr. 2022. https://doi.org/10.3390/su14084605
  26. S. Liu, G. Zhang, Y. Xia, and R. Yang, “The data sharing security system of cloud storage,” vol. 11884, pp. 1188413–1188413, Oct. 2021. https://doi.org/10.1117/12.2605100
  27. M. Ghafoorian, D. Abbasinezhad-Mood, and H. Shakeri, “A Thorough Trust and Reputation Based RBAC Model for Secure Data Storage in the Cloud,” IEEE Transactions on Parallel and Distributed Systems, vol. 30, no. 4, pp. 778–788, Apr. 2019. https://doi.org/10.1109/TPDS.2018.2870652
  28. V. Sridhar, “What Are the Privacy Issues Over Data Collected by the Internet and Telecom Firms?,” Emerging ICT Policies and Regulations, pp. 233–264, 2019. https://doi.org/10.1007/978-981-32-9022-8_12
  29. Y. Cao, J. Zhang, L. Ma, X. Qin, and J. Li, “Examining User’s Initial Trust Building in Mobile Online Health Community Adopting,” Int J Environ Res Public Health, vol. 17, no. 11, Jun. 2020. https://doi.org/10.3390/ijerph17113945
  30. J. Svenningsson, G. Höst, M. Hultén, and J. Hallström, “Students’ attitudes toward technology: exploring the relationship among affective, cognitive and behavioral components of the attitude construct,” Int J Technol Des Educ, vol. 32, no. 3, pp. 1531–1551, Jul. 2022. https://doi.org/10.1007/s10798-021-09657-7
  31. J. H. Watson and A. Rockinson-Szapkiw, “Predicting preservice teachers’ intention to use technology-enabled learning,” Comput. Educ., vol. 168, Jul. 2021. https://doi.org/10.1016/j.compedu.2021.104207
  32. C. Or, “The Role of Attitude in the Unified Theory of Acceptance and Use of Technology: A Meta-analytic Structural Equation Modelling Study,” International Journal of Technology in Education and Science, vol. 7, no. 4, pp. 552–570, Oct. 2023. https://doi.org/10.46328/ijtes.504
  33. A. A. M. Nassar, K. Othman, and M. A. B. M. Nizah, “The Impact of the Social Influence on ICT Adoption: Behavioral Intention as Mediator and Age as Moderator,” The International Journal of Academic Research in Business and Social Sciences, vol. 9, no. 11, Nov. 2019. http://dx.doi.org/10.6007/IJARBSS/v9-i11/6620
  34. J. H. Cheah, M. Sarstedt, C. M. Ringle, T. Ramayah, and H. Ting, “Convergent validity assessment of formatively measured constructs in PLS-SEM,” International Journal of Contemporary Hospitality Management, vol. 30, no. 11, pp. 3192–3210, Nov. 2018. https://doi.org/10.1108/IJCHM-10-2017-0649
  35. M. Mohamad, N. Damayanti, H. M. Abualrejal, Y. M. Yusoff, and I. H. Zakaria, “Assessment on the Quality of Outer Model in Path Model for MOOC Instrument,” 2022 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE), pp. 1–5, 2022. https://doi.org/10.1109/ITSS-IoE56359.2022.9990936
  36. K. Ismail, “Technical competency among vocational teachers in Malaysian public skills training institutions: measurement model validation using PLS-SEM,” Journal of Technical education and training, 2020.
  37. M. H. C. Lai, “Composite reliability of multilevel data: It’s about observed scores and construct meanings.,” Psychol Methods, vol. 26, no. 1, pp. 90–102, Feb. 2021. https://doi.org/10.1037/met0000287
  38. V. W. S. Yun, N. M. Ulang, and S. H. Husain, “Measuring the Internal Consistency and Reliability of the Hierarchy of Controls in Preventing Infectious Diseases on Construction Sites: The Kuder-Richardson (KR-20) and Cronbach’s Alpha,” Journal of Advanced Research in Applied Sciences and Engineering Technology, vol. 33, no. 1, pp. 392–405, Dec. 2023. https://doi.org/10.37934/araset.33.1.392405
  39. G. Shmueli et al., “Predictive model assessment in PLS-SEM: guidelines for using PLSpredict,” Eur J Mark, vol. 53, no. 11, pp. 2322–2347, Sep. 2019. https://doi.org/10.1108/EJM-02-2019-0189
  40. J. F. Hair, J. J. Risher, M. Sarstedt, and C. M. Ringle, “When to use and how to report the results of PLS-SEM,” European Business Review, vol. 31, no. 1, pp. 2–24, Jan. 2019. https://doi.org/10.1108/EBR-11-2018-0203
  41. M. Sarstedt and J. H. Cheah, “Partial least squares structural equation modeling using SmartPLS: a software review,” Journal of Marketing Analytics, vol. 7, no. 3, pp. 196–202, Sep. 2019. https://doi.org/10.1057/s41270-019-00058-3
  42. G. F. Khan, M. Sarstedt, W. L. Shiau, J. F. Hair, C. M. Ringle, and M. P. Fritze, “Methodological research on partial least squares structural equation modeling (PLS-SEM),” Internet Res., vol. 29, no. 3, pp. 407–429, Jun. 2019. https://doi.org/10.1108/IntR-12-2017-0509
  43. M. M. Mariani, M. Ek Styven, and F. Teulon, “Explaining the intention to use digital personal data stores: An empirical study,” Technol Forecast Soc Change, vol. 166, May 2021. https://doi.org/10.1016/j.techfore.2021.120657
  44. K. A. A. Ahmed, A. K. Sahu, A. K. Sahu, and N. K. Sahu, “Quantify the Behaviour Intention of Individuals to Control SC Performance by Exploring Cloud Storage Services: An Extended UTAUT2 Approach,” Int. J. Technol. Hum. Interact., vol. 18, no. 7, pp. 1–28, Sep. 2022. https://doi.org/10.4018/IJTHI.306227
  45. H. Warsono, T. Yuwono, and I. R. Putranti, “Analyzing technology acceptance model for collaborative governance in public administration: Empirical evidence of digital governance and perceived ease of use,” International Journal of Data and Network Science, vol. 7, no. 1, pp. 41–48, 2023. https://doi.org/10.5267/J.IJDNS.2022.12.008
  46. D. Alsmadi, M. Halawani, V. Prybutok, and R. Al-Smadi, “Intention, trust and risks as core determinants of cloud computing usage behavior,” J. Syst. Inf. Technol., vol. 24, no. 3, pp. 178–201, Jul. 2022. https://doi.org/10.1108/JSIT-09-2020-0180
  47. K. Sanghyun, H. Park, and K. Bora, “Impacts of Perceived Value and Trust on Intention to Continue Use of Individuals’ Cloud Computing: The Perception of Value-based Adoption Model,” Journal of Digital Convergence, vol. 19, pp. 77–88. https://doi.org/10.14400/JDC.2021.19.1.077
  48. K. Kholilah, H. R. Kawulur, and I. Subekti, “Perceived Usefulness, Perceived Ease of Use, Facilitating Condition, Social Influence, and Personal Innovativeness of Accounting Students Cloud Computing Adoption,” Organum: Jurnal Saintifik Manajemen dan Akuntansi, vol. 5, no. 2, pp. 141–151, Dec. 2022. https://doi.org/10.35138/ORGANUM.V5I2.257
  49. S. Sureshkumar, N. Kirthiga, T. A. Kumar, P. N. Kumar, Y. P. Kumar Reddy, and R. S. Reddy, “Dual Access Control for Cloud-Based Data Storage and Sharing,” 2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN), pp. 1–6, 2023. https://doi.org/10.1109/ViTECoN58111.2023.10157156
  50. K. Roslin Dayana and P. Shobha Rani, “Secure cloud data storage solution with better data accessibility and time efficiency,” Automatika, vol. 64, no. 4, pp. 756–763, 2023. https://doi.org/10.1080/00051144.2023.2213564
  51. K. Tatić, M. Haračić, M. Činjarević, and M. Haračić, “Let’s cloud with me! Users’ willingness to use cloud computing services as a function of social norms,” Ekonomski vjesnik : Review of Contemporary Entrepreneurship, Business, and Economic Issues, vol. 35, no. 2, pp. 275–285, Dec. 2022. https://doi.org/10.51680/ev.35.2.4
  52. G. Nagarajan and K. Sampath Kumar, “Security Threats and Challenges in Public Cloud Storage,” 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), pp. 97–100, Mar. 2021. https://doi.org/10.1109/ICACITE51222.2021.9404641
  53. K. Roslin Dayana and P. Shobha Rani, “Trust aware cryptographic role based access control scheme for secure cloud data storage,” Automatika, vol. 64, no. 4, pp. 1072–1079, 2023. https://doi.org/10.1080/00051144.2023.2243144
  54. M. El Moudni and E. Ziyati, “A Multi-Cloud and Zero-Trust based Approach for Secure and Redundant Data Storage,” 2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM), pp. 1–6, 2023. https://doi.org/10.1109/WINCOM59760.2023.10323009
  55. N. Tabassum, H. Naeem, and A. Batool, “The Data Security and multi-cloud Privacy concerns,” International Journal for Electronic Crime Investigation, vol. 7, no. 1, pp. 49–58, Mar. 2023. https://doi.org/10.54692/ijeci.2023.0701128
  56. K. Yamamoto and T. Hirotsu, “File system to support secure cloud-based sharing,” 2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), pp. 155–162, 2022. https://doi.org/10.1109/ISPA-BDCloud-SocialCom-SustainCom57177.2022.00027
  57. D. Dajani, S. G. Yaseen, I. El Qirem, and H. Sa’d, “Predictors of Intention to Use a Sustainable Cloud-Based Quality Management System among Academics in Jordan,” Sustainability, vol. 14, no. 21, Nov. 2022. https://doi.org/10.3390/su142114253
  58. A. A. Mohd-Any, M. Sarker, and F. L. Z. Hui, “Understanding users’ switching intention of cloud storage services: A push-pull-mooring framework,” Journal of Consumer Behaviour, vol. 23, no. 2, pp. 748–768, Mar. 2024. https://doi.org/10.1002/cb.2239
  59. J. B. Tubay, “Students’ use of Cloud Storage in their Studies: A Case of a Private University in the Philippines,” J Educ Elearn Res, vol. 8, no. 1, pp. 16–25, 2021. https://doi.org/10.20448/journal.509.2021.81.16.25
  60. M. K. Yap and A. S. H. Lee, “Understanding the Behavioral Intention to Use SaaS ERP Sub-modules Considering Perceived Enjoyment, Perceived Anxiety and Perceived System Performance,” Lecture Notes in Electrical Engineering, vol. 621, pp. 117–128, 2020. https://doi.org/10.1007/978-981-15-1465-4_13
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