Adoption of Cloud Computing in the organizations: a bibliometric analysis of this technology within a digital transformation context
DOI:
https://doi.org/10.5902/1983465975326Keywords:
Cloud Computing, Adoption, Business field, Bibliometric review, Digital transformationAbstract
Purpose: The purpose of this study is identify and analyze articles on the adoption of Cloud Computing services in the business field. The study intends to demonstrate the increasing relevance and impact of Cloud Computing technology on business processes.
Design/methodology/approach: The study adopted a Bibliometric Review methodology to collect and analyze data. A total of 1,330 articles were collected from the Scopus (Elsevier) database, and various aspects such as authors, journals, and countries were considered. The analysis includes the use of maps to visualize the co-occurrence of terms, co-citation of references, and bibliographic coupling.
Findings: The investigation reveals that the adoption of Cloud Computing services in the business environment is a rapidly growing area of research. The study provides an overview of the theme and highlights the significance of Cloud Computing technology in enhancing business processes’ efficiency.
Research limitations/implications: The study’s limitations include relying solely on articles available in the Scopus (Elsevier) database and focusing on the period between 2008 and 2020. Future research can expand the analysis by including a broader range of databases and considering a more recent timeframe.
Practical implications: The findings of this study have practical implications for businesses, as they highlight the benefits of adopting Cloud Computing services. The technology offers low cost and flexible use, contributing to increased efficiency in business processes.
Social implications: The adoption of Cloud Computing services can have significant social impacts by enabling businesses to provide enhanced value to their clients. The technology’s efficiency and flexibility contribute to improved service delivery and customer satisfaction.
Originality/value: This study contributes to the advancement of knowledge in the field of Cloud Computing adoption in the business field. The bibliometric analysis provides a comprehensive overview of the research landscape and highlights the key contributions and trends in this area.
Downloads
References
Agrifoglio, R., Cannavale, C., Laurenza, E., & Metallo, C. (2017). How emerging digital technologies affect operations management through co-creation. Empirical evidence from the maritime industry. Production Planning and Control, 28(16), 1298–1306. https://doi.org/10.1080/09537287.2017.1375150 DOI: https://doi.org/10.1080/09537287.2017.1375150
Alshamaila, Y., Papagiannidis, S., & Li, F. (2013). Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework. Journal of Enterprise Information Management, 26(3), 250–275. https://doi.org/10.1108/17410391311325225 DOI: https://doi.org/10.1108/17410391311325225
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., & Zaharia, M. (2010). A view of cloud computing. International Journal of Networked and Distributed Computing, 1(1), 2–8. https://doi.org/10.2991/ijndc.2013.1.1.2
August, T., Niculescu, M. F., & Shin, H. (2014). Cloud implications on software network structure and security risks. Information Systems Research, 25(3), 489–510. https://doi.org/10.1287/isre.2014.0527 DOI: https://doi.org/10.1287/isre.2014.0527
Banerjee, S., Adhikari, M., & Biswas, U. (2017). Design and analysis of an efficient QoS improvement policy in cloud computing. Service Oriented Computing and Applications, 11(1), 65–73. https://doi.org/10.1007/s11761-016-0196-3 DOI: https://doi.org/10.1007/s11761-016-0196-3
Bardhan, I. R., Demirkan, H., Kannan, P. K., Kauffman, R., & Sougstad, R. (2010). An interdisciplinary perspective on IT services management and service science. Journal of Management Information Systems, 26(4), 13–64. https://doi.org/10.2753/MIS0742-1222260402 DOI: https://doi.org/10.2753/MIS0742-1222260402
Benlian, A., & Hess, T. (2011). Opportunities and risks of software-as-a-service: Findings from a survey of IT executives. Decision Support Systems, 52(1), 232–246. https://doi.org/10.1016/j.dss.2011.07.007 DOI: https://doi.org/10.1016/j.dss.2011.07.007
Cegielski, C. G., Jones-Farmer, A. L., Wu, Y., & Hazen, B. T. (2012). Adoption of cloud computing technologies in supply chains: An organizational information processing theory approach. The International Journal of Logistics Management, 23(2), 184–211. https://doi.org/10.1108/09574091211265350 DOI: https://doi.org/10.1108/09574091211265350
Chen, S., Zhang, L., Tang, Y., Shen, C., Kumar, R., Yu, K., Tariq, U., & Bashir, A. K. (2020). Indoor temperature monitoring using wireless sensor networks: A SMAC application in smart cities. Sustainable Cities and Society, 61(June), 102333, 1-9. https://doi.org/10.1016/j.scs.2020.102333 DOI: https://doi.org/10.1016/j.scs.2020.102333
Choudhary, V., & Zhang, Z. J. (2015). Patching the cloud: The impact of saas on patching strategy and the timing of software release. Information Systems Research, 26(4), 845–858. https://doi.org/10.1287/isre.2015.0601 DOI: https://doi.org/10.1287/isre.2015.0601
Cohen, M. C., Keller, P. W., Mirrokni, V., & Zadimoghaddam, M. (2019). Overcommitment in cloud services: Bin packing with chance constraints. Management Science, 65(7), 3255–3271. https://doi.org/10.1287/mnsc.2018.3091 DOI: https://doi.org/10.1287/mnsc.2018.3091
Dalmazo, B. L., Vilela, J. P., & Curado, M. (2017). Performance Analysis of Network Traffic Predictors in the Cloud. Journal of Network and Systems Management, 25(2), 290–320. https://doi.org/10.1007/s10922-016-9392-x DOI: https://doi.org/10.1007/s10922-016-9392-x
Dandres, T., Farrahi Moghaddam, R., Nguyen, K. K., Lemieux, Y., Samson, R., & Cheriet, M. (2017). Consideration of marginal electricity in real-time minimization of distributed data centre emissions. Journal of Cleaner Production, 143, 116–124. https://doi.org/10.1016/j.jclepro.2016.12.143 DOI: https://doi.org/10.1016/j.jclepro.2016.12.143
Date, H., Gangwar, H., & Ramaswamy, R. (2014). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. The Eletronic Library, 34(1), 1–5. DOI: https://doi.org/10.1108/JEIM-08-2013-0065
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982 DOI: https://doi.org/10.1287/mnsc.35.8.982
Demirkan, H., & Delen, D. (2013). Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud. Decision Support Systems, 55(1), 412–421. https://doi.org/10.1016/j.dss.2012.05.048 DOI: https://doi.org/10.1016/j.dss.2012.05.048
Diamantoulakis, P. D., Kapinas, V. M., & Karagiannidis, G. K. (2015). Big Data Analytics for Dynamic Energy Management in Smart Grids. Big Data Research, 1, 6–13. https://doi.org/10.1016/j.bdr.2015.03.003 DOI: https://doi.org/10.1016/j.bdr.2015.03.003
Dirican, C. (2015). The Impacts of Robotics, Artificial Intelligence On Business and Economics. Procedia - Social and Behavioral Sciences, 195, 564–573. https://doi.org/10.1016/j.sbspro.2015.06.134 DOI: https://doi.org/10.1016/j.sbspro.2015.06.134
Feng, G., Buyya, R. (2016). Maximum revenue-oriented resource allocation in cloud. International Journal of Grid and Utility Computing, 7(1), 12–21. DOI: https://doi.org/10.1504/IJGUC.2016.073772
Fazli, A., Sayedi, A., & Shulman, J. D. (2018). The effects of autoscaling in cloud computing. Management Science, 64(11), 5149–5163. https://doi.org/10.1287/mnsc.2017.2891 DOI: https://doi.org/10.1287/mnsc.2017.2891
Galvagno, M., & Dalli, D. (2014). Theory of value co-creation: A systematic literature review. Managing Service Quality, 24(6), 643–683. https://doi.org/10.1108/MSQ-09-2013-0187 DOI: https://doi.org/10.1108/MSQ-09-2013-0187
Gardas, B. B., Raut, R., Priyadarshinee, P., Jha, M., & Kamble, S. (2018). Modeling the implementation barriers of cloud computing adoption: An interpretive structural modeling. Benchmarking, 25(8), 2760–2782. https://doi.org/10.1108/BIJ-12-2016-0189 DOI: https://doi.org/10.1108/BIJ-12-2016-0189
Gill, S. S., Buyya, R., & Chana, I. (2017). IoT based agriculture as a cloud and big data service: The beginning of digital India. Journal of Organizational and End User Computing, 29(4), 1–23. https://doi.org/10.4018/JOEUC.2017100101 DOI: https://doi.org/10.4018/JOEUC.2017100101
Gonul Kochan, C., Nowicki, D. R., Sauser, B., & Randall, W. S. (2018). Impact of cloud-based information sharing on hospital supply chain performance: A system dynamics framework. International Journal of Production Economics, 195, 168–185. https://doi.org/10.1016/j.ijpe.2017.10.008 DOI: https://doi.org/10.1016/j.ijpe.2017.10.008
Grácio, M. C. C. (2016). Bibliographic coupling and co-citation analysis: theoretical-conceptual review. Bibli Meetings: Electronic Journal of Librarianship and Information Science, 21(47), 82-99. https://doi.org/10.5007/1518-2924.2016v21n47p82 DOI: https://doi.org/10.5007/1518-2924.2016v21n47p82
Gupta, P., Seetharaman, A., & Raj, J. R. (2013). The usage and adoption of cloud computing by small and medium businesses. International Journal of Information Management, 33(5), 861–874. https://doi.org/10.1016/j.ijinfomgt.2013.07.001 DOI: https://doi.org/10.1016/j.ijinfomgt.2013.07.001
Henneberger, M. (2016). Covering peak demand by using cloud services – an economic analysis. Journal of Decision Systems, 25(2), 118–135. https://doi.org/10.1080/12460125.2016.1141275 DOI: https://doi.org/10.1080/12460125.2016.1141275
Hooper, C., Martini, B., & Choo, K. K. R. (2013). Cloud computing and its implications for cybercrime investigations in Australia. Computer Law and Security Review, 29(2), 152–163. https://doi.org/10.1016/j.clsr.2013.01.006 DOI: https://doi.org/10.1016/j.clsr.2013.01.006
Iansiti, M., & Lakhani, K. R. (2014). Digital ubiquity: How connections, sensors, and data are revolutionizing business. Harvard Business Review, 45(2). https://doi.org/10.2469/dig.v45.n2.8 DOI: https://doi.org/10.2469/dig.v45.n2.8
Järveläinen, J. (2012). Information security and business continuity management in interorganizational IT relationships. Information Management & Computer Security, 20(5), 332–349. https://doi.org/10.1108/09685221211286511 DOI: https://doi.org/10.1108/09685221211286511
Jennings, B., & Stadler, R. (2015). Resource Management in Clouds: Survey and Research Challenges. Journal of Network and Systems Management, 23(3), 567–619. https://doi.org/10.1007/s10922-014-9307-7 DOI: https://doi.org/10.1007/s10922-014-9307-7
Jin, X., Wah, B. W., Cheng, X., & Wang, Y. (2015). Significance and Challenges of Big Data Research. Big Data Research, 2(2), 59–64. https://doi.org/10.1016/j.bdr.2015.01.006 DOI: https://doi.org/10.1016/j.bdr.2015.01.006
Kalloniatis, C. (2017). Incorporating Privacy In The Design Of Cloud-Based Systems: A Conceptual Metamodel. World Journal of Engineering, 91–100. https://doi.org/10.1108/S1479-3512(2011)0000021018 DOI: https://doi.org/10.1108/S1479-3512(2011)0000021018
Khan, K. I. A., Flanagan, R., & Lu, S. L. (2016). Managing information complexity using system dynamics on construction projects. Construction Management and Economics, 34(3), 192–204. https://doi.org/10.1080/01446193.2016.1190026 DOI: https://doi.org/10.1080/01446193.2016.1190026
Kusiak, A. (2018). Smart manufacturing. International Journal of Production Research, 56(1–2), 508–517. https://doi.org/10.1080/00207543.2017.1351644 DOI: https://doi.org/10.1080/00207543.2017.1351644
Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431–440. https://doi.org/10.1016/j.bushor.2015.03.008 DOI: https://doi.org/10.1016/j.bushor.2015.03.008
Lee, J. (2013). A view of cloud computing. International Journal of Networked and Distributed Computing, 1(1), 2–8. https://doi.org/10.2991/ijndc.2013.1.1.2 DOI: https://doi.org/10.2991/ijndc.2013.1.1.2
Liu, D., & Yang, G. (2015). Virtual resource provision with enhanced QoS in cloud platforms. International Journal of Networking and Virtual Organisations, 15(4), 359–375. https://doi.org/10.1504/IJNVO.2015.073857 DOI: https://doi.org/10.1504/IJNVO.2015.073857
Low, C., Chen, Y., & Wu, M. (2011). Understanding the determinants of cloud computing adoption. Industrial Management and Data Systems, 111(7), 1006–1023. https://doi.org/10.1108/02635571111161262 DOI: https://doi.org/10.1108/02635571111161262
Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing - The business perspective. Decision Support Systems, 51(1), 176–189. https://doi.org/10.1016/j.dss.2010.12.006 DOI: https://doi.org/10.1016/j.dss.2010.12.006
Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., & Barbaray, R. (2018). The industrial management of SMEs in the era of Industry 4.0. International Journal of Production Research, 56(3), 1118–1136. https://doi.org/10.1080/00207543.2017.1372647 DOI: https://doi.org/10.1080/00207543.2017.1372647
Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/s11192-015-1765-5 DOI: https://doi.org/10.1007/s11192-015-1765-5
Nakai, A., Madeira, E., & Buzato, L. E. (2015). On the Use of Resource Reservation for Web Services Load Balancing. Journal of Network and Systems Management, 23(3), 502–538. https://doi.org/10.1007/s10922-014-9303-y DOI: https://doi.org/10.1007/s10922-014-9303-y
Oliveira, T., Thomas, M., & Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information and Management, 51(5), 497–510. https://doi.org/10.1016/j.im.2014.03.006 DOI: https://doi.org/10.1016/j.im.2014.03.006
Priyadarshinee, P., Raut, R. D., Gardas, B. B., & Jha, M. K. (2017). Examining the critical success factors of cloud computing adoption in the MSMEs by using ISM model. Journal of High Technology Management Research, 28(2), 125–141. https://doi.org/10.1016/j.hitech.2017.10.004 DOI: https://doi.org/10.1016/j.hitech.2017.10.004
Ratten, V. (2016). Continuance use intention of cloud computing: Innovativeness and creativity perspectives. Journal of Business Research, 69(5), 1737–1740. https://doi.org/10.1016/j.jbusres.2015.10.047 DOI: https://doi.org/10.1016/j.jbusres.2015.10.047
Raut, R. D., Jha, M. K., Priyadarshinee, P., & Gardas, B. B. (2018). Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach. Technological Forecasting and Social Change, 134(May), 98–123. https://doi.org/10.1016/j.techfore.2018.05.020 DOI: https://doi.org/10.1016/j.techfore.2018.05.020
Ren, R., Hu, W., Dong, J., Sun, B., Chen, Y., & Chen, Z. (2020). A systematic literature review of green and sustainable logistics: Bibliometric analysis, research trend and knowledge taxonomy. International Journal of Environmental Research and Public Health, 17(1). https://doi.org/10.3390/ijerph17010261 DOI: https://doi.org/10.3390/ijerph17010261
Retana, G. F., Forman, C., Narasimhan, S., Niculescu, M. F., & Wu, D. J. (2018). Technology support and post-adoption IT service use: Evidence from the cloud. MIS Quarterly: Management Information Systems, 42(3), 961–978. https://doi.org/10.25300/MISQ/2018/13064 DOI: https://doi.org/10.25300/MISQ/2018/13064
Ross, P. K., & Blumenstein, M. (2015). Cloud computing as a facilitator of SME entrepreneurship. Technology Analysis and Strategic Management, 27(1), 87–101. https://doi.org/10.1080/09537325.2014.951621 DOI: https://doi.org/10.1080/09537325.2014.951621
Safari, F., Safari, N., Hasanzadeh, A., & Ghatari, A. R. (2015). Factors affecting the adoption of cloud computing in small and medium enterprises. International Journal of Business Information Systems, 20(1), 116–137. DOI: https://doi.org/10.1504/IJBIS.2015.070894
Schneider, S., & Sunyaev, A. (2016). Determinant factors of cloud-sourcing decisions: Reflecting on the IT outsourcing literature in the era of cloud computing. Journal of Information Technology, 31(1), 1–31. https://doi.org/10.1057/jit.2014.25 DOI: https://doi.org/10.1057/jit.2014.25
Schniederjans, D. G., & Hales, D. N. (2016). Cloud computing and its impact on economic and environmental performance: A transaction cost economics perspective. Decision Support Systems, 86, 73–82. https://doi.org/10.1016/j.dss.2016.03.009 DOI: https://doi.org/10.1016/j.dss.2016.03.009
SCImago. (2020). SJR — SCImago Journal & Country Rank [Portal]. https://www.scimagojr.com/
Singh, A., Kumari, S., Malekpoor, H., & Mishra, N. (2018). Big data cloud computing framework for low carbon supplier selection in the beef supply chain. Journal of Cleaner Production, 202, 139–149. https://doi.org/10.1016/j.jclepro.2018.07.236 DOI: https://doi.org/10.1016/j.jclepro.2018.07.236
Soares, P. B., Carneiro, T. C. J., Calmon, J. L., & Castro, L. O. C. O. (2016). Bibliometric analysis of the Brazilian scientific production on Building and Construction Technologies in the Web of Science database. Built Environment, 16(1), 175–185. https://doi.org/10.1590/s1678-86212016000100067 DOI: https://doi.org/10.1590/s1678-86212016000100067
Soon, J. N. P., Mahmood, A. K., Yin, C. P., Wan, W. S., Yuen, P. K., & Heng, L. E. (2015). Barebone cloud IaaS: revitalisation disruptive technology. International Journal of Business Information Systems, 18(1), 107–126. DOI: https://doi.org/10.1504/IJBIS.2015.066130
Srivastva, A., & Kiran, P. (2016). Transforming customer experience in e-commerce market place: A SMACT approach. Indian Journal of Science and Technology, 9(32). https://doi.org/10.17485/ijst/2016/v9i32/98652 DOI: https://doi.org/10.17485/ijst/2016/v9i32/98652
Subashini, S., & Kavitha, V. (2011). A survey on security issues in service delivery models of cloud computing. Journal of Network and Computer Applications, 34(1), 1–11. https://doi.org/10.1016/j.jnca.2010.07.006 DOI: https://doi.org/10.1016/j.jnca.2010.07.006
Sultan, N. (2010). Cloud computing for education: A new dawn? International Journal of Information Management, 30(2), 109–116. https://doi.org/10.1016/j.ijinfomgt.2009.09.004 DOI: https://doi.org/10.1016/j.ijinfomgt.2009.09.004
Sunyaev, A., & Lansing, J. (2016). Trust in cloud computing: Conceptual typology and trust-building antecedents. Data Base for Advances in Information Systems, 47(2), 58–96. https://doi.org/10.1145/2963175.2963179 DOI: https://doi.org/10.1145/2963175.2963179
Svantesson, D., & Clarke, R. (2010). Privacy and consumer risks in cloud computing. Computer Law and Security Review, 26(4), 391–397. https://doi.org/10.1016/j.clsr.2010.05.005 DOI: https://doi.org/10.1016/j.clsr.2010.05.005
Taylor, M., Haggerty, J., Gresty, D., & Hegarty, R. (2010). Digital evidence in cloud computing systems. Computer Law and Security Review, 26(3), 304–308. https://doi.org/10.1016/j.clsr.2010.03.002 DOI: https://doi.org/10.1016/j.clsr.2010.03.002
Udomsap, A., & Hallinger, P. (2020). A bibliometric review of research on sustainable construction, 1994–2018. Journal of Cleaner Production, 254, 120073. https://doi.org/10.1016/j.jclepro.2020.120073 DOI: https://doi.org/10.1016/j.jclepro.2020.120073
Van Eck, N. J., & Waltman, L. (2017). Manual for VOSviewer versión 1.6.6. October, 48.
Vidhyalakshmi, R., Kumar, V., & Kumar, V. (2016). Determinants of cloud computing adoption by SMEs. Int. J. Business Information Systems, 22(3), 375–395. http://www.niesbud.nic.in
Vogel, R., & Güttel, W. H. (2013). The dynamic capability view in strategic management: A bibliometric review. International Journal of Management Reviews, 15(4), 426–446. https://doi.org/10.1111/ijmr.12000 DOI: https://doi.org/10.1111/ijmr.12000
Walterbusch, M., Martens, B., & Teuteberg, F. (2013). Evaluating cloud computing services from a total cost of ownership perspective. Management Research Review, 36(6), 613–638. https://doi.org/10.1108/01409171311325769 DOI: https://doi.org/10.1108/01409171311325769
Wu, Y. U. N., Cegielski, C. G., Hazen, B. T., & Hall, D. J. (2013, July). Cloud computing in support of supply chain information system infrastructure : understanding when to go to the cloud. Journal of Supply Chain Management, 49(3), 25–41. DOI: https://doi.org/10.1111/j.1745-493x.2012.03287.x
Xing, K., Qian, W., & Zaman, A. U. (2016). Development of a cloud-based platform for footprint assessment in green supply chain management. Journal of Cleaner Production, 139, 191–203. https://doi.org/10.1016/j.jclepro.2016.08.042 DOI: https://doi.org/10.1016/j.jclepro.2016.08.042
Xu, L., Xu, E. L., & Li, L. (2018). Industry 4.0: State of the art and future trends. International Journal of Production Research, 56(8), 2941–2962. https://doi.org/10.1080/00207543.2018.1444806 DOI: https://doi.org/10.1080/00207543.2018.1444806
Yoo, Y., Jr, R. J. B., Lyytinen, K., & Majchrzak, A. (2010). Organizing for Innovation in the Digitized World. 23(5), 1398–1408. DOI: https://doi.org/10.1287/orsc.1120.0771
Yu, D., Xu, Z., & Wang, W. (2018). Bibliometric analysis of fuzzy theory research in China: A 30-year perspective. Knowledge-Based Systems, 141, 188–199. https://doi.org/10.1016/j.knosys.2017.11.018 DOI: https://doi.org/10.1016/j.knosys.2017.11.018
Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: State-of-the-art and research challenges. Journal of Internet Services and Applications, 1(1), 7–18. https://doi.org/10.1007/s13174-010-0007-6 DOI: https://doi.org/10.1007/s13174-010-0007-6
Zissis, D., & Lekkas, D. (2012). Addressing cloud computing security issues. Future Generation Computer Systems, 28(3), 583–592. https://doi.org/10.1016/j.future.2010.12.006 DOI: https://doi.org/10.1016/j.future.2010.12.006
Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629 DOI: https://doi.org/10.1177/1094428114562629
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Revista de Administração da UFSM
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors of articles published by ReA/UFSM retain the copyright of their works, licensing them under the Creative Commons (CC-BY 4.0), which allows articles to be reused and distributed without restriction, provided that the original work is properly cited.
