Technology Adaptation Patterns and Third-Level Digital Divide: Analyzing Workplace Communication at PT. Pesta Pora Abadi
DOI:
https://doi.org/10.18326/inject.v11i2.6824Keywords:
Adaptasi Teknologi, Digital Divide, Generation Z, Millennials, Organizational CommunicationAbstract
This study provides an exploratory overview of patterns of technological adaptation as a fundamental factor contributing to the intergenerational digital divide between Generation Z and Millennials at PT Pesta Pora Abadi. Unlike previous literature, which often emphasizes access to infrastructure or basic technical skills, this study argues that the root of the digital divide lies in differences in how individuals internalize and operationalize new technologies in the workplace. Using a descriptive qualitative design, data were collected through in-depth interviews and Focus Group Discussions (FGDs). Thematic analysis identified five distinct adaptation patterns: intuitive-agile adaptation, structured-procedural adaptation, learning speed disparities, resistance to specific platforms, and the contradiction between integrity-based validation and efficiency. The findings reveal that these differing patterns create systemic noise in corporate communication, regardless of the individual’s level of technical proficiency. Practically, this study recommends that organizations implement reverse mentoring and align the digital growth mindset with corporate values (I-ACT) to bridge this gap.
References
Alifiansyah Deto Rahmana Putra. (2023). Beyond the Screen: The Surprising Ways Technology is Changing Socialization and Organizational Dynamics. https://doi.org/10.13140/RG.2.2.26142.55362
Awa, H. O., Ojiabo, O. U., & Orokor, L. E. (2017). Integrated technology-organization-environment (T-O-E) taxonomies for technology adoption. Journal of Enterprise Information Management, 30(6), 893–921. https://doi.org/10.1108/JEIM-03-2016-0079
BouMjahed, L., & Mahmassani, H. S. (2023). Virtual leisure activity engagement: The role of childhood technology experience. Transportation Research Part A: Policy and Practice, 171, 103650. https://doi.org/10.1016/j.tra.2023.103650
Braun, V., & Clarke, V. (2006). Thematic analysis. In H. Cooper, P. M. Camic, D. L. Long, A. T. Panter, D. Rindskopf, & K. J. Sher (Eds.), APA handbook of research methods in psychology, Vol 2: Research designs: Quantitative, qualitative, neuropsychological, and biological. (pp. 57–71). American Psychological Association. https://doi.org/10.1037/13620-004
Cassidy, O., Bragg, M., & Elbel, B. (2024). Virtual Reality–Based Food and Beverage Marketing: Potential Implications for Young People of Color, Knowledge Gaps, and Future Research Directions. JMIR Public Health and Surveillance, 10, e62807–e62807. https://doi.org/10.2196/62807
Clark, V. L. P., & Creswell, J. W. (2014). Understanding Research: A Consumer’s Guide (Second Edition). Pearson Education.
Firamadhina, F. I. R., & Krisnani, H. (2021). PERILAKU GENERASI Z TERHADAP PENGGUNAAN MEDIA SOSIAL TIKTOK: TikTok Sebagai Media Edukasi dan Aktivisme. Share : Social Work Journal, 10(2), 199. https://doi.org/10.24198/share.v10i2.31443
Hargittai, E. (2002). Second-Level Digital Divide: Differences in People’s Online Skills. First Monday, 7(4). https://doi.org/10.5210/fm.v7i4.942
Hong, X., Chen, Q., Man, D., Shi, C., & Wang, N. (2024). The impact of digitalization on the rich and the poor: Digital divide or digital inclusion? Technology in Society, 78, 102634. https://doi.org/10.1016/j.techsoc.2024.102634
Jauhiainen, J. S., Eyvazlu, D., Junnila, J., & Virnes, A. (2022). Digital divides, the Internet, and social media use among Afghans in Iran. Technology in Society, 70, 102057. https://doi.org/10.1016/j.techsoc.2022.102057
Khan, N. A., Iqbal, S., & Maqsood, S. (2025). Review of Effective Communication Strategies and Employees’ Performance at Workplace, Lahore, Pakistan. The Regional Tribune, 4(1), 138–149. https://doi.org/10.63062/trt/WR25.065
Kim, Y. (2023). The effect of dialogic competencies in internal communication and D&I-oriented leadership on relational outcomes with minority employees: Focusing on the perspectives of Asian employees. Asian Journal of Communication, 33(2), 158–181. https://doi.org/10.1080/01292986.2023.2181978
Lane, J. N., Leonardi, P. M., Contractor, N. S., & DeChurch, L. A. (2024). Teams in the Digital Workplace: Technology’s Role for Communication, Collaboration, and Performance. Small Group Research, 55(1), 139–183. https://doi.org/10.1177/10464964231200015
Liu, Q., & Kamioka, T. (2025). The effects of employees’ digital growth mindset and supervisors’ coaching behavior on digital self-efficacy. Technology in Society, 81, 102875. https://doi.org/10.1016/j.techsoc.2025.102875
Megawati, S., Machmud, A., & Alfarizi, M. (2024). Telemedicine and transformative health access for millennials-Gen Z: PLS-SEM-based behavioral exploration. Technology in Society, 79, 102714. https://doi.org/10.1016/j.techsoc.2024.102714
Oyetade, K., Harmse, A., & Zuva, T. (2024). Internal organizational factors influencing ICT adoption for sustainable growth. Discover Global Society, 2(1), 108. https://doi.org/10.1007/s44282-024-00136-7
Potvin Kent, M., Mulligan, C., Pauzé, E., Pinto, A., & Remedios, L. (2024). The food and beverage marketing monitoring framework for Canada: Development, implementation, and gaps. Food Policy, 122, 102587. https://doi.org/10.1016/j.foodpol.2023.102587
Promma, W., Imjai, N., Usman, B., & Aujirapongpan, S. (2025). The influence of AI literacy on complex problem-solving skills through systematic thinking skills and intuitive thinking skills: An empirical study in Thai Gen Z accounting students. Computers and Education: Artificial Intelligence, 8, 100382. https://doi.org/10.1016/j.caeai.2025.100382
Ren, W., & Zhu, X. (2024). The age-based digital divides in China: Trends and socioeconomic differentials (2010–2020). Telecommunications Policy, 48(3), 102716. https://doi.org/10.1016/j.telpol.2024.102716
Septi Lis Anandita, Christian Wiradendi Wolor, & Marsofiyati Marsofiyati. (2023). Pengaruh Perubahan Digitalisasi, Kesenjangan Digital dan Transformasi Terhadap Efektivitas Perusahaan. Jurnal Mahasiswa Kreatif, 2(1), 50–59. https://doi.org/10.59581/jmk-widyakarya.v2i1.2175
Seyfi, S., Michael Hall, C., & Strzelecka, M. (2025). Gen Z – pioneers or paradox in sustainable tourism? Journal of Sustainable Tourism, 33(6), 987–1015. https://doi.org/10.1080/09669582.2025.2491702
Shamout, M. D., Elayan, M. B. H., Hamouche, S., & Chabani, Z. (2025). The Role of Collaboration Technology and Knowledge Sharing Climate on Employee Productivity and Innovative Behavior. Knowledge and Process Management, 32(3), 121–132. https://doi.org/10.1002/kpm.1801
Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia Manufacturing, 22, 960–967. https://doi.org/10.1016/j.promfg.2018.03.137
Thunshirn, P., Ettwein, F., & Höferl, K.-M. (2025). Assessing the digital divide in the energy transition: Surveying the social factors influencing home energy management systems in Austria. Energy Research & Social Science, 120, 103941. https://doi.org/10.1016/j.erss.2025.103941
Vassilakopoulou, P., & Hustad, E. (2023). Bridging Digital Divides: A Literature Review and Research Agenda for Information Systems Research. Information Systems Frontiers, 25(3), 955–969. https://doi.org/10.1007/s10796-020-10096-3
Wei, L., & Hindman, D. B. (2011). Does the Digital Divide Matter More? Comparing the Effects of New Media and Old Media Use on the Education-Based Knowledge Gap. Mass Communication and Society, 14(2), 216–235. https://doi.org/10.1080/15205431003642707
Xu, J., & Lu, W. (2022). Developing a human-organization-technology fit model for information technology adoption in organizations. Technology in Society, 70, 102010. https://doi.org/10.1016/j.techsoc.2022.102010
Yang, R., Gao, S., & Jiang, Y. (2024). Digital divide as a determinant of health in the U.S. older adults: Prevalence, trends, and risk factors. BMC Geriatrics, 24(1), 1027. https://doi.org/10.1186/s12877-024-05612-y
Yuen, K. F., Cai, L., Qi, G., & Wang, X. (2021). Factors influencing autonomous vehicle adoption: An application of the technology acceptance model and innovation diffusion theory. Technology Analysis & Strategic Management, 33(5), 505–519. https://doi.org/10.1080/09537325.2020.1826423
Zhang, C. (Xinyi), Wang, L. H., & Rice, R. E. (2025). U.S. college students’ acceptability and educational benefits of ChatGPT from a digital divide perspective. Computers and Education: Artificial Intelligence, 8, 100385. https://doi.org/10.1016/j.caeai.2025.100385
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 INJECT (Interdisciplinary Journal of Communication)

This work is licensed under a Creative Commons Attribution 4.0 International License.




