Systematic Literature Review of UTAUT Model to Understand Adopter's Perception of Digital Mobile App Applications in the Indonesian Coal Mining Industry
DOI:
https://doi.org/10.21776/ub.jiae.2023.011.02.1Keywords:
mobile app technology, adoption, UTAUT, SLR, LeadershipAbstract
Purpose
This study investigates coal mining firms' technology use during epidemics and their strategies. It applies the UTAUT to the coal mining sector, focusing on five main aspects.
Design/Methodology/Approach
This study employs a systematic literature review (SLR) to analyze data from 13 selected papers on mobile app usage as digital technology. Data from 2014 to 2022 were gathered using the Scopus database, revealing insights into UTAUT-related research trends in the mining industry.
Findings
Reviewing the chosen papers reveals a strong link between tech adoption and leadership in coal mining. Empowered leadership notably drives technology adoption, positively impacting knowledge processes among followers.
Research Limitations/Implications
It recognizes that the systematic literature review offers valuable insights but findings could be constrained by available relevant papers. Future research might delve into more tech adoption and leadership aspects in coal mining to boost understanding.
Originality/Value
This research fills a gap by deeply examining technology adoption with UTAUT in coal mining. Given limited existing research, this study contributes insights and knowledge about digital tech in this field. Moreover, exploring leadership empowerment as a unique form adds originality and value to the research.
References
Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios. Computers in human behavior, 63, 75-90. https://doi.org/10.1016/j.chb.2016.05.014
Ahmad, S. Z., Ahmad, N., & Bakar, A. R. A. (2018). Reflections of entrepreneurs of small and medium-sized enterprises concerning the adoption of social media and its impact on performance outcomes: Evidence from the UAE. Telematics and Informatics, 35(1), 6-17. https://doi.org/10.1016/j.tele.2017.09.006
Alghatrifi, I., & Khalid, H. (2019). A systematic review of UTAUT and UTAUT2 as a baseline framework of information system research in adopting new technology: a case study of IPV6 adoption. In 2019 6th International Conference on Research and Innovation in Information Systems (ICRIIS) (pp. 1-6). IEEE. https://doi.org/10.1109/ICRIIS48246.2019.9073292
Al-Qeisi, K., Dennis, C., Alamanos, E., & Jayawardhena, C. (2014). Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology. Journal of Business Research, 67(11), 2282-2290. https://doi.org/10.1016/j.jbusres.2014.06.016
Altawallbeh, M., Soon, F., Thiam, W., & Alshourah, S. (2015). Mediating Role of Attitude, Subjective Norm and Perceived Behavioural Control in the Relationships between Their Respective Salient Beliefs and Behavioural Intention to Adopt E-Learning among Instructors in Jordanian Universities. Journal of Education and Practice, 6(11), 152-159.
Amin, M., Rezaei, S., & Abolghasemi, M. (2014). User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review International. https://doi.org/10.1108/NBRI-01-2014-0005
Aneke, M., & Wang, M. (2016). Energy storage technologies and real life applications–A state of the art review. Applied Energy, 179, 350-377. https://doi.org/10.1016/j.apenergy.2016.06.097
Baabdullah, A. M. (2018). Consumer adoption of Mobile Social Network Games (M-SNGs) in Saudi Arabia: The role of social influence, hedonic motivation and trust. Technology in society, 53, 91-102. https://doi.org/10.1016/j.techsoc.2018.01.004
Badri, A., Boudreau-Trudel, B., & Souissi, A. S. (2018). Occupational health and safety in the industry 4.0 era: A cause for major concern?. Safety science, 109, 403-411. https://doi.org/10.1016/j.ssci.2018.06.012
Bailey, A. A., Bonifield, C. M., Arias, A., & Villegas, J. (2022). Mobile payment adoption in Latin America. Journal of Services Marketing. https://doi.org/10.1108/JSM-04-2021-0130
Bianchi, C., Tuzovic, S., & Kuppelwieser, V. G. (2022). Investigating the drivers of wearable technology adoption for healthcare in South America. Information Technology & People. https://doi.org/10.1108/ITP-01-2021-0049
Boso, N., Danso, A., Leonidou, C., Uddin, M., Adeola, O., & Hultman, M. (2017). Does financial resource slack drive sustainability expenditure in developing economy small and medium-sized enterprises?. Journal of Business Research, 80, 247-256. https://doi.org/10.1016/j.jbusres.2017.06.016
Buttcher, S., Clarke, C. L., & Cormack, G. V. (2016). Information retrieval: Implementing and evaluating search engines. Mit Press.
Chen, L., & Aklikokou, A. K. (2020). Determinants of E-government adoption: testing the mediating effects of perceived usefulness and perceived ease of use. International Journal of Public Administration, 43(10), 850-865. https://doi.org/10.1080/01900692.2019.1660989
Chu, T. H., & Chen, Y. Y. (2016). With good we become good: Understanding e-learning adoption by theory of planned behavior and group influences. Computers & Education, 92, 37-52. https://doi.org/10.1016/j.compedu.2015.09.013
Collins, A., & Halverson, R. (2018). Rethinking education in the age of technology: The digital revolution and schooling in America. Teachers College Press.
Constantinides, E. (2014). Foundations of social media marketing. Procedia-Social and behavioral sciences, 148, 40-57.
de Luna, I. R., Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2019). Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied. Technological Forecasting and Social Change, 146, 931-944.
Dwivedi, Y. K., Shareef, M. A., Simintiras, A. C., Lal, B., & Weerakkody, V. (2016). A generalised adoption model for services: A cross-country comparison of mobile health (m-health). Government Information Quarterly, 33(1), 174-187. https://doi.org/10.1016/j.giq.2015.06.003
Francisco, K., & Swanson, D. (2018). The supply chain has no clothes: Technology adoption of blockchain for supply chain transparency. Logistics, 2(1), 2. https://doi.org/10.3390/logistics2010002
Gharaibeh, M. K., Arshad, M. R. M., & Gharaibh, N. K. (2018). Using the UTAUT2 model to determine factors affecting adoption of mobile banking services: A qualitative approach. International Journal of Interactive Mobile Technologies, 12(4).
Gharaibeh, N., Gharaibeh, M. K., Gharaibeh, O., & Bdour, W. (2020). Exploring intention to adopt mobile commerce: Integrating UTAUT2 with social media. International Journal of Scientific and Technology Research, 9(3), 3826-3833.
Ginter, P. M., Duncan, W. J., & Swayne, L. E. (2018). The strategic management of health care organizations. John Wiley & Sons.
Gupta, K., & Arora, N. (2020). Investigating consumer intention to accept mobile payment systems through unified theory of acceptance model: An Indian perspective. South Asian Journal of Business Studies. https://doi.org/10.1108/SAJBS-03-2019-0037
Hayes, P. (2014, June). The Global Leadership of Virtual Teams in Avatar-Based Virtual Environments. In International Conference on HCI in Business (pp. 390-400). Springer, Cham. https://doi.org/10.1007/978-3-319-07293-7_38
Hehn, J., & Uebernickel, F. (2018). The use of design thinking for requirements engineering: an ongoing case study in the field of innovative software-intensive systems. In 2018 IEEE 26th international requirements engineering conference (RE) (pp. 400-405). IEEE. https://doi.org/10.1109/RE.2018.00-18
Herrero, Á., & San Martín, H. (2017). Explaining the adoption of social networks sites for sharing user-generated content: A revision of the UTAUT2. Computers in Human Behavior, 71, 209-217. https://doi.org/10.1016/j.chb.2017.02.007
Hewson, C. (2017). Research design and tools for online research. The SAGE handbook of online research methods, 57-75.
Jafarzadeh, S., & Utne, I. B. (2014). A framework to bridge the energy efficiency gap in shipping. Energy, 69, 603-612.
Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2018). Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process safety and environmental protection, 117, 408-425. https://doi.org/10.1016/j.psep.2018.05.009
Kesting, P., Ulhøi, J. P., Song, L. J., & Niu, H. (2015). The impact of leadership styles on innovation-a review. Journal of Innovation Management, 3(4), 22-41. https://doi.org/10.24840/2183-0606
Khalfan, M. M., & Maqsood, T. (2014). Current state of off-site manufacturing in Australian and Chinese residential construction. Journal of Construction Engineering, 2014(164863), 1-5. https://doi.org/10.1155/2014/164863
Khan, I. U., Hameed, Z., & Khan, S. U. (2017). Understanding online banking adoption in a developing country: UTAUT2 with cultural moderators. Journal of Global Information Management (JGIM), 25(1), 43-65.
Kuo, R. Z., Lai, M. F., & Lee, G. G. (2011). The impact of empowering leadership for KMS adoption. Management Decision. https://doi.org/10.1108/00251741111151172
Kurnia, S., Karnali, R. J., & Rahim, M. M. (2015). A qualitative study of business-to-business electronic commerce adoption within the Indonesian grocery industry: A multi-theory perspective. Information & Management, 52(4), 518-536. https://doi.org/10.1016/j.im.2015.03.003
LE, T. T. H., & VO, T. T. (2020). How SWOM contribution motivations vary by cosmetics and restaurants in Vietnam. The Journal of Asian Finance, Economics and Business, 7(10), 885-896. https://doi.org/10.13106/jafeb.2020.vol7.no10.885
Lu, J. (2014). Are personal innovativeness and social influence critical to continue with mobile commerce?. Internet research.
Masood, T., & Egger, J. (2019). Augmented reality in support of Industry 4.0—Implementation challenges and success factors. Robotics and Computer-Integrated Manufacturing, 58, 181-195. https://doi.org/10.1016/j.rcim.2019.02.003
Men, L. R., & Stacks, D. (2014). The effects of authentic leadership on strategic internal communication and employee-organization relationships. Journal of public relations research, 26(4), 301-324. https://doi.org/10.1080/1062726X.2014.908720
Menta, A. J. C. (2022). Adopting Technology Environment Organization Framework in Virtual Learning through Cloud Computing of Higher Education Institution. International Journal of Computing Sciences Research, 6, 822-841. https://doi.org/10.25147/ijcsr.2017.001.1.75
Merhi, M., Hone, K., & Tarhini, A. (2019). A cross-cultural study of the intention to use mobile banking between Lebanese and British consumers: Extending UTAUT2 with security, privacy and trust. Technology in Society, 59, 101151. https://doi.org/10.1016/j.techsoc.2019.101151
Mihai, R. L., & CREȚU, A. (2019). Leadership in the Digital Era. Valahian Journal of Economic Studies, 10(1). https://doi.org/10.2478/vjes-2019-0006
Min, S., So, K. K. F., & Jeong, M. (2021). Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model. In Future of Tourism Marketing (pp. 2-15). Routledge.
Morrar, R., Arman, H., & Mousa, S. (2017). The fourth industrial revolution (Industry 4.0): A social innovation perspective. Technology innovation management review, 7(11), 12-20.
Ndlovu-Gatsheni, S. J. (2020). Geopolitics of power and knowledge in the COVID-19 pandemic: decolonial reflections on a global crisis. Journal of Developing societies, 36(4), 366-389. https://doi.org/10.1177/0169796X20963252
Ngai, E. W., Tao, S. S., & Moon, K. K. (2015). Social media research: Theories, constructs, and conceptual frameworks. International journal of information management, 35(1), 33-44. https://doi.org/10.1016/j.ijinfomgt.2014.09.004
Nikolopoulos, F., & Likothanassis, S. (2017). Using UTAUT2 for cloud computing technology acceptance modeling. In Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing (pp. 1-6). https://doi.org/10.1145/3018896.3025153
Nordhoff, S., Louw, T., Innamaa, S., Lehtonen, E., Beuster, A., Torrao, G., ... & Merat, N. (2020). Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries. Transportation research part F: traffic psychology and behaviour, 74, 280-297. https://doi.org/10.1016/j.trf.2020.07.015
Oluwajana, D., Idowu, A., Nat, M., Vanduhe, V., & Fadiya, S. (2019). The adoption of students’ hedonic motivation system model to gamified learning environment. Journal of theoretical and applied electronic commerce research, 14(3), 156-167. https://doi.org/10.4067/S0718-18762019000300109
Özarallı, N. (2015). Linking empowering leader to creativity: the moderating role of psychological (felt) empowerment. Procedia-Social and Behavioral Sciences, 181, 366-376. https://doi.org/10.1016/j.sbspro.2015.04.899
Plantin, J. C., & De Seta, G. (2019). WeChat as infrastructure: The techno-nationalist shaping of Chinese digital platforms. Chinese Journal of Communication, 12(3), 257-273. https://doi.org/10.1080/17544750.2019.1572633
Rees, G., & Smith, P.(2021). Strategic human resource management: An international perspective. Sage.
Sahin, O., Miller, D., & Mohamed, S. (2018). Value-based modelling: An Australian case of off-site manufactured buildings. International Journal of Construction Management, 18(1), 34-52. https://doi.org/10.1080/15623599.2016.1247774
Sepasgozar, S. M. (2020). Digital twin and web-based virtual gaming technologies for online education: A case of construction management and engineering. Applied Sciences, 10(13), 4678. https://doi.org/10.3390/app10134678
Shahzad, M., Qu, Y., Rehman, S. U., & Zafar, A. U. (2022). Adoption of green innovation technology to accelerate sustainable development among manufacturing industry. Journal of Innovation & Knowledge, 7(4), 100231. https://doi.org/10.1016/j.jik.2022.100231
Shaw, N., & Sergueeva, K. (2019). The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value. International Journal of Information Management, 45, 44-55. https://doi.org/10.1016/j.ijinfomgt.2018.10.024
Singh, M., & Matsui, Y. (2017). How long tail and trust affect online shopping behavior: An extension to UTAUT2 framework. Pacific Asia Journal of the Association for Information Systems, 9(4), 2.
Sjödin, D. R., Parida, V., Leksell, M., & Petrovic, A. (2018). Smart Factory Implementation and Process Innovation: A Preliminary Maturity Model for Leveraging Digitalization in Manufacturing Moving to smart factories presents specific challenges that can be addressed through a structured approach focused on people, processes, and technologies. Research-Technology Management, 61(5), 22-31. https://doi.org/10.1080/08956308.2018.1471277
Slade, E. L., Williams, M. D., & Dwivedi, Y. K. (2014). Devising a research model to examine adoption of mobile payments: An extension of UTAUT2. The marketing review, 14(3), 310-335. https://doi.org/10.1362/146934714X14024779062036
Tamilmani, K., Rana, N. P., Wamba, S. F., & Dwivedi, R. (2021). The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation. International Journal of Information Management, 57, 102269. https://doi.org/10.1016/j.ijinfomgt.2020.102269
Toufaily, E., Zalan, T., & Dhaou, S. B. (2021). A framework of blockchain technology adoption: An investigation of challenges and expected value. Information & Management, 58(3), 103444. https://doi.org/10.1016/j.im.2021.103444
Türkmendağ, Z., & Tuna, M. (2021). Empowering leadership and knowledge management: the mediating role of followers' technology use. Journal of Organizational Change Management.
Urh, M., Vukovic, G., & Jereb, E. (2015). The model for introduction of gamification into e-learning in higher education. Procedia-Social and Behavioral Sciences, 197, 388-397. https://doi.org/10.1016/j.sbspro.2015.07.154
Vahdat, A., Alizadeh, A., Quach, S., & Hamelin, N. (2021). Would you like to shop via mobile app technology? The technology acceptance model, social factors and purchase intention. Australasian Marketing Journal, 29(2), 187-197. https://doi.org/10.1016/j.ausmj.2020.01.002
Van Droogenbroeck, E., & Van Hove, L. (2021). Adoption and usage of e-grocery shopping: A context-specific UTAUT2 model. Sustainability, 13(8), 4144. https://doi.org/10.3390/su13084144
Van Haeften, W. A., Sheombar, A., & Ravesteijn, P. (2021). Understanding Healthcare Professionals' Motivations and Drivers for eHealth Adoption. In European Conference on Management, Leadership & Governance (pp. 494-XIV). Academic Conferences International Limited. https://doi.org/10.34190/MLG.21.065
Venkatesh, V. (2020). Impacts of COVID-19: A research agenda to support people in their fight. International journal of information management, 55, 102197.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. Journal of Chemical Information and Modeling, 53(9), 425–478. https://doi.org/10.1017/CBO9781107415324.004
Venkatesh, V., Thong, J. Y., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the association for Information Systems, 17(5), 328-376. https://ssrn.com/abstract=2800121
Wognum, N., Bil, C., Elgh, F., Peruzzini, M., Stjepandić, J., & Verhagen, W. (2018). Transdisciplinary engineering research challenges. In 25th ISPE International Conference on Transdisciplinary EngineeringIntegrating (TE2018), 3-6 July, Modena, Italy (pp. 753-762). IOS Press.
Zhang, X., & Xu, X. (2020). Continuous use of fitness apps and shaping factors among college students: A mixed-method investigation. International journal of nursing sciences, 7, S80-S87. https://doi.org/10.1016/j.ijnss.2020.07.009
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