a descriptive literature review and classification of cloud computing research

Systematic Literature Review of Cloud Computing Research Between 2010 and 2023

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• Shailaja Jha 10 &
• Devina Chaturvedi   ORCID: orcid.org/0009-0004-1242-2099 11  

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 508))

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• Workshop on e-Business

We present a meta-analysis of cloud computing research in information systems. The study includes 152 referenced journal articles published between January 2010 to June 2023. We take stock of the literature and the associated research themes, research frameworks, the employed research methodology, and the geographical distribution of the articles. This review provides holistic insights into trends in cloud computing research based on themes, frameworks, methodology, geographical focus, and future research directions. The results indicate that the extant literature tends to skew toward themes related to business issues, which is an indicator of the maturing and widespread use of cloud computing. This trend is evidenced in the more recent articles published between 2016 to 2023.

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The conference proceedings were primarily used to assess the year-on-year numerical trends in publications, and they have not been used for detailed analysis.

Abdalla Mikhaeil, C., James, T.L.: Examining the case of French hesitancy toward IDaaS solutions: technical and social contextual factors of the organizational IDaaS privacy calculus. Inform. Manage. 60 (4), 103779 (2023)

Google Scholar  

Allen, B., et al.: Software as a service for data scientists. Commun. ACM 55 (2), 81–88 (2012)

Andrade-Rojas, M.G., Kathuria, A., Lee, H.-H.: Multilevel synergy of IT operational integration: competition networks and operating performance. Prod. Oper. Manage. (forthcoming) (2024)

Andrade-Rojas, M.G., Saldanha, T., Kathuria, A., Khuntia, J., Boh, W.F.: How IT overcomes deficiencies for innovation in SMEs: closed innovation versus open innovation. Inform. Syst. Res. (forthcoming) (2024)

Anthes, G.: Security in the cloud. Commun. ACM 53 , 16–18 (2010)

Armbrust, M., et al.: A view of cloud computing. Commun. ACM 53 , 50–58 (2010)

August, T., Niculescu, M.F., Shin, H.: Cloud implications on software network structure and security risks. Inform. Syst. Res. 25 , 489–510 (2014)

Bandara, W., Furtmueller, E., Gorbacheva, E., Miskon, S., Beekhuyzen, J.: Achieving rigor in literature reviews: insights from qualitative data analysis and tool-support. Commun. Assoc. Inform. Syst. 37 (8), 154–204 (2015). http://aisel.aisnet.org/cais/vol37/iss1/8

Benlian, A.: Is traditional, open-source, or on-demand first choice? Developing an AHP-based framework for the comparison of different software models in office suites selection. Eur. J. Inform. Syst. 20 , 542–559 (2011)

Benlian, A., Kettinger, W.J., Sunyaev, A., Winkler, T.J.: Special section: the transformative value of cloud computing: a decoupling, platformization, and recombination theoretical framework. J. Manage. Inform. Syst. 35 , 719–739 (2018)

Benlian, A., Koufaris, M., Hess, T.: The role of SaaS service quality for continued SaaS use: Empirical insights from SaaS using firms (2010)

Bhattacherjee, A., Park, S.C.: Why end-users move to the cloud: a migration-theoretic analysis. Eur. J. Inform. Syst. 23, 357–372 (2014)

Chaturvedi, D., Kathuria, A., Andrade, M., Saldanha, T.: Navigating the Paradox of IT Novelty and Strategic Conformity: The Moderating Role of Industry Dynamism (2023)

Chen, F., Lu, A., Wu, H., Li, M.: Compensation and pricing strategies in cloud service SLAs: considering participants’ risk attitudes and consumer quality perception. Electron. Commerce Res. Appl. 56 , 101215 (2022)

Cheng, H.K., Li, Z., Naranjo, A.: Research note—cloud computing spot pricing dynamics: latency and limits to arbitrage. Inform. Syst. Res. 27 , 145–165 (2016)

Choudhary, V., Vithayathil, J.: The impact of cloud computing: should the IT department be organized as a cost center or a profit center? J. Manage. Inform. Syst. 30 , 67–100 (2013)

Choudhary, V., Zhang, Z.: Research note—patching the cloud: the impact of SaaS on patching strategy and the timing of software release. Inform. Syst. Res. 26 , 845–858 (2015)

Dasgupta, A., Karhade, P., Kathuria, A., Konsynski, B.: Holding space for voices that do not speak: design reform of rating systems for platforms in GREAT economies (2021)

Demirkan, H., Cheng, H.K., Bandyopadhyay, S.: Coordination strategies in an SaaS supply chain. J. Manage. Inform. Syst. 26 , 119–143 (2010)

Demirkan, H., Delen, D.: Leveraging the capabilities of service-oriented decision support systems: putting analytics and big data in cloud. Decis. Support Syst. 55 , 412–421 (2013)

Dierks, L., Seuken, S.: Cloud pricing: the spot market strikes back. Manage. Sci. 68 (1), 105–122 (2022)

Article   Google Scholar  

Ding, S., Xia, C., Wang, C., Desheng, Wu., Zhang, Y.: Multi-objective optimization based ranking prediction for cloud service recommendation. Decis. Support. Syst. 101 , 106–114 (2017)

Dong, L., Shu, W., Sun, D., Li, X., Zhang, L.: Pre-alarm system based on real-time monitoring and numerical simulation using internet of things and cloud computing for tailings dam in mines. IEEE Access 5 , 21080–21089 (2017)

Xin, Du., Tang, S., Zhihui, Lu., Gai, K., Jie, Wu., Hung, P.C.K.: Scientific workflows in IoT environments: a data placement strategy based on heterogeneous edge-cloud computing. ACM Trans. Manage. Inform. Syst. 13 (4), 1–26 (2022)

Ermakova, T., Fabian, B., Kornacka, M., Thiebes, S., Sunyaev, A.: Security and privacy requirements for cloud computing in healthcare: elicitation and prioritization from a patient perspective. ACM Trans. Manage. Inform. Syst. 11 (2), 1–29 (2020)

Garrison, G., Kim, S., Wakefield, R.L.: Success factors for deploying cloud computing. Commun. ACM 55 (9), 62–68 (2012)

Giessmann, A., Legner, C.: Designing business models for cloud platforms. Inf. Syst. J. 26 (5), 551–579 (2016). https://doi.org/10.1111/isj.12107

Gray, A.: Conflict of laws and the cloud. Comput. Law Secur. Rev. 29 (1), 58–65 (2013)

Hosseini, L., Tang, S., Mookerjee, V., Sriskandarajah, C.: A switch in time saves the dime: a model to reduce rental cost in cloud computing. Inform. Syst. Res. 31 (3), 753–775 (2020)

Huang, K.-W., Sundararajan, A.: Pricing digital goods: discontinuous costs and shared infrastructure. Inf. Syst. Res. 22 (4), 721–738 (2011)

Iosup, A., Ostermann, S., Yigitbasi, M.N., Prodan, R., Fahringer, T., Epema, D.H.J.: Performance analysis of cloud computing services for many-tasks scientific computing. IEEE Trans. Parallel Distrib. Syst. 22 , 931–945 (2011)

Iyer, B., Henderson, J.C.: Preparing for the future: understanding the seven capabilities cloud computing. MIS Q. Exec. 9 , 2 (2010)

Jha, S. and Kathuria, A. Size Matters for Cloud Capability and Performance (2022)

Jha, S., Kathuria, A.: How firm age and size influence value creation from cloud computing (2023)

Joe-Wong, C., Sen, S.: Harnessing the power of the cloud: revenue, fairness, and cloud neutrality. J. Manage. Inf. Syst. 35 , 813–836 (2018)

Joint, A., Baker, E.: Knowing the past to understand the present–issues in the contracting for cloud based services. Comput. Law Secur. Rev. 27 (4), 407–415 (2011)

Karhade, P., Kathuria, A.: Missing impact of ratings on platform participation in India: a call for research in GREAT domains. Commun. Assoc. Inf. Syst. 47 (1), 19 (2020)

Karhade, P., Kathuria, A., Dasgupta, A., Malik, O., Konsynski, B.R.: Decolonization of digital platforms: a research agenda for GREAT domains. In: Garimella, A., Karhade, P., Kathuria, A., Liu, X., Xu, J., Zhao, K. (eds.) The Role of e-Business during the Time of Grand Challenges. LNBIP, vol. 418, pp. 51–58. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-79454-5_5

Chapter   Google Scholar  

Karhade, P., Kathuria, A., Konsynski, B.: When choice matters: assortment and participation for performance on digital platforms (2021)

Kathuria, A., Karhade, P.P., Konsynski, B.R.: In the realm of hungry ghosts: multi-level theory for supplier participation on digital platforms. J. Manag. Inf. Syst. 37 (2), 396–430 (2020)

Kathuria, A., Mann, A., Khuntia, J., Saldanha, T.J.V., Kauffman, R.J.: A strategic value appropriation path for cloud computing. J. Manage. Inf. Syst. 35 (3), 740–775 (2018). https://doi.org/10.1080/07421222.2018.1481635

Kaur, J., Kaur, P.D.: CE-GMS: A cloud IoT-enabled grocery management system. Electron. Commer. Res. Appl. 28 , 63–72 (2018)

Kepes, B.: 30% of servers are sitting “Comatose” according to research. Forbes https://forbes.com/sites/benkepes/2015/06/03/30-of-servers-are-sitting-comatose-according-to-research (2015)

Khokhar, R.H., Fung, B.C.M., Iqbal, F., Alhadidi, D., Bentahar, J.: Privacy-preserving data mashup model for trading person-specific information. Electron. Commer. Res. Appl. 17 , 19–37 (2016)

Khuntia, J., Kathuria, A., Andrade-Rojas, M.G., Saldanha, T., Celly, N.: How foreign and domestic firms differ in leveraging IT-enabled supply chain information integration in BOP markets: the role of supplier and client business collaboration. J. Assoc. Inf. Syst. 22 (3), 6 (2021)

King, W.R., He, J.: Understanding the role and methods of meta-analysis in IS Research. Commun. Assoc. Inf. Syst. 16, 665–686 (2005)

Krancher, O., Luther, P., Jost, M.: Key affordances of Platform-as-a-Service: self-organization and continuous feedback. J. Manage. Inf. Syst. 35 , 776–812 (2018)

Kumar, C., Marston, S., Sen, R., Narisetty, A.: Greening the cloud: a load balancing mechanism to optimize cloud computing networks. J. Manage. Inf. Syst. 39 ,, 513–541 (2022)

Kung, L., Cegielski, C.G., Kung, H.-J.: An integrated environmental perspective on software as a service adoption in manufacturing and retail firms. J. Inf. Technol. 30 , 352–363 (2015)

Lansing, J., Benlian, A., Sunyaev, A.: Unblackboxing” decision makers’ interpretations of IS certifications in the context of cloud service certifications. J. Assoc. Inf. Syst. 19 (11), 1064–1096 (2018)

Lansing, J., Siegfried, N., Sunyaev, A., Benlian, A.: Strategic signaling through cloud service certifications: Comparing the relative importance of certifications’ assurances to companies and consumers. J. Strateg. Inf. Syst. 28 , 101579 (2019)

Lansing, J., Sunyaev, A.: Trust in cloud computing. ACM SIGMIS Database DATABASE Adv. Inform. Syst. 47 , 58–96 (2016)

Lee, J., Cho, D., Lim, G.: Design and validation of the bright internet. J. Assoc. Inform. Syst. 19 , 63–85 (2018)

Lee, M.H., Han, S.P., Park, S., Oh, W.: Positive demand spillover of popular app adoption: implications for platform owners’ management of complements. Inf. Syst. Res. 34 (3), 961–995 (2023)

Li, S., Chen, W., Chen, Y., Chen, C. and Zheng, Z.: Makespan-minimized computation offloading for smart toys in edge-cloud computing. Electron. Commerce Res. Appl. 37 , 100884 (2019)

Li, S., Cheng, H.K., Duan, Y., Yang, Y.-C.: A study of enterprise software licensing models. J. Manag. Inf. Syst. 34 (1), 177–205 (2017)

Lins, S., Schneider, S., Szefer, J., Ibraheem, S., Ali, A.: Designing monitoring systems for continuous certification of cloud services: deriving meta-requirements and design guidelines. Commun. Assoc. Inf. Syst. 44 (1), 460–510 (2019)

Liu, Y., Sheng, X., Marston, S.R.: The impact of client-side security restrictions on the competition of cloud computing services. Int. J. Electron. Comm. 19 (3), 90–117 (2015)

Ma, D., Seidmann, A.: Analyzing software as a service with per-transaction charges. Inf. Syst. Res. 26 , 360–378 (2015)

Malik, O., Jaiswal, A., Kathuria, A., Karhade, P.: Leveraging BI systems to overcome infobesity: a comparative analysis of incumbent and new entrant firms (2022)

Mani, D., Srikanth, K., Bharadwaj, A.: Efficacy of R&D work in offshore captive centers: an empirical study of task characteristics, coordination mechanisms, and performance. Inf. Syst. Res. 25 (4), 846–864 (2014)

Mann, A., Kathuria, A., Khuntia, J., Saldanha, T.: Cloud-integration and business flexibility: the mediating role of cloud functional capabilities (2016)

Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., Ghalsasi, A.: Cloud computing — the business perspective. Decis. Support. Syst. 51 (1), 176–189 (2011)

Mell, P.M., Grance, T.: The NIST definition of cloud computing. National Institute of Standards and Technology (2011)

Metz, C.: The epic story of dropboxs exodus from the amazon cloud empire (2016)

Mithas, R., Sambamurthy,: How information management capability influences firm performance. MIS Q. 35 (1), 237 (2011)

Mithas, T., Bardhan, G.: Information technology and firm profitability: mechanisms and empirical evidence. MIS Q. 36 (1), 205 (2012)

Muhic, M., Bengtsson, L., Holmström, J.: Barriers to continuance use of cloud computing: evidence from two case studies. Inf. Manage. 60 , 103792 (2023)

Mukherjee, A., Sundarraj, R.P., Dutta, K.: Time-preference-based on-spot bundled cloud-service provisioning. Decis. Support. Syst. 151 , 113607 (2021)

Müller, S.D., Holm, S.R., Søndergaard, J.: Benefits of cloud computing: literature review in a maturity model perspective. Commun. Assoc. Inform. Syst. 37 , 851–878 (2015)

Ojala, A.: Business models and opportunity creation: how IT entrepreneurs create and develop business models under uncertainty. Inf. Syst. J. 26 , 451–476 (2015)

Oliveira, T., Thomas, M., Espadanal, M.: Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Inf. Manage. 51 , 497–510 (2014)

Owens, D. Securing elasticity in the cloud. Communications of the ACM , 53, 6 (2010/06 2010), 46–51 (2010)

Pang, M.-S., Tanriverdi, H.: Strategic roles of IT modernization and cloud migration in reducing cybersecurity risks of organizations: the case of U.S. federal government. J. Strat. Inf. Syst. 31 , 101707 (2022)

Park, J., Han, K., Lee, B.: Green cloud? An empirical analysis of cloud computing and energy efficiency. Manage. Sci. 69 , 1639–1664 (2023)

Parno, B., Howell, J., Gentry, C., Raykova, M.: Pinocchio. Commun. ACM 59 , 103–112 (2016)

Pye, J., Rai, A., Dong, J.Q.: Business value of information technology capabilities: an institutional governance perspective. Inf. Syst. Res. 35 , 28–44 (2023)

Ramakrishnan, T., Kathuria, A., Khuntia, J., Konsynski, B.: IoT value creation through supply chain analytics capability (2022)

Retana, G., Forman, C., Narasimhan, S., Niculescu, M.F., Wu, D.J.: Technical support, knowledge transfer, and service demand: evidence from the cloud. SSRN Electron. J. (2012)

Rodrigues, J., Ruivo, P., Oliveira, T.: Mediation role of business value and strategy in firm performance of organizations using software-as-a-service enterprise applications. Inf. Manag. 58 (1), 103289 (2021)

Saldanha, T.J., Andrade-Rojas, M.G., Kathuria, A., Khuntia, J., Krishnan, M.: How the locus of uncertainty shapes the influence of CEO long-term compensation on IT capital investments. MIS Q. (2023)

Sambhara, C., Rai, A., Xu, S.X.: Configuring the enterprise systems portfolio: the role of information risk. Inf. Syst. Res. 33 (2), 446–463 (2022)

Sarker, S., Chatterjee, S., Xiao, X., Elbanna, A.: The sociotechnical axis of cohesion for the IS discipline: its historical legacy and its continued relevance. MIS Q. 43 (3), 695–720 (2019)

Schlagwein, D., Thorogood, A., Willcocks, L.P.: How commonwealth bank of Australia gained benefits using a standards-based, multi-provider cloud model. MIS Q. Exec. 13 (4), 209–222 (2014)

Schneider, S., Sunyaev, A.: Determinant factors of cloud-sourcing decisions: reflecting on the IT outsourcing literature in the era of cloud computing. J. Inf. Technol. 31 (1), 1–31 (2016). https://doi.org/10.1057/jit.2014.25

Schneider, S., Wollersheim, J., Krcmar, H., Sunyaev, A.: How do Requirements evolve over Time? A case study investigating the role of context and experiences in the evolution of enterprise software requirements. J. Inf. Technol. 33 (2), 151–170 (2018)

Schniederjans, D.G., Hales, D.N.: Cloud computing and its impact on economic and environmental performance: a transaction cost economics perspective. Decis. Support. Syst. 86 , 73–82 (2016)

Schreieck, M., Wiesche, M., Krcmar, H.: Capabilities for value co-creation and value capture in emergent platform ecosystems: a longitudinal case study of SAP’s cloud platform. J. Inf. Technol. 36 (4), 365–390 (2021)

Shiau, W.-L., Chau, P.Y.K.: Understanding behavioral intention to use a cloud computing classroom: a multiple model comparison approach. Inf. Manag. 53 (3), 355–365 (2016)

Singh, V.K., Shivendu, S., Dutta, K.: Spot instance similarity and substitution effect in cloud spot market. Decis. Support. Syst. 159 , 113815 (2022)

Soh, F., Setia, P.: The impact of dominant IT infrastructure in multi-establishment firms: the moderating role of environmental dynamism. J. Assoc. Inf. Syst. 23 (6), 1603–1633 (2022)

Son, I., Lee, D., Lee, J.-N., Chang, Y.B.: Market perception on cloud computing initiatives in organizations: an extended resource-based view. Inf. Manag. 51 (6), 653–669 (2014)

Srinivasan, S.: Is security realistic in cloud computing? J. Int. Technol. Inf. Manag. 22 (4), 3 (2013). https://doi.org/10.58729/1941-6679.1020

Article   MathSciNet   Google Scholar  

Sun, T., Shi, L., Viswanathan, S., Zheleva, E.: Motivating effective mobile app adoptions: evidence from a large-scale randomized field experiment. Inf. Syst. Res. 30 (2), 523–539 (2019)

Templier, M., Paré, G.: Transparency in literature reviews: an assessment of reporting practices across review types and genres in top IS journals. Eur. J. Inf. Syst. 27 (5), 503–550 (2017). https://doi.org/10.1080/0960085X.2017.1398880

Trenz, M., Huntgeburth, J., Veit, D.: Uncertainty in cloud service relationships: uncovering the differential effect of three social influence processes on potential and current users. Inf. Manage. 55, 971–983 (2018)

van de Weerd, I., Mangula, I.S., Brinkkemper, S.: Adoption of software as a service in Indonesia: examining the influence of organizational factors. Inf. Manage. 53 (7), 915–928 (2016)

Venkatesh, V., Bala, H., Sambamurthy, V.: Implementation of an information and communication technology in a developing country: a multimethod longitudinal study in a Bank in India. Inf. Syst. Res. 27 (3), 558–579 (2016)

Venkatesh, V., Sykes, T.A.: Digital divide initiative success in developing countries: a longitudinal field study in a Village in India. Inf. Syst. Res. 24 (2), 239–260 (2013)

Venters, W., Whitley, E.A.: A critical review of cloud computing: researching desires and realities. J. Inf. Technol. 27 (3), 179–197 (2012)

Wang, N., Huigang Liang, Yu., Jia, S.G., Xue, Y., Wang, Z.: Cloud computing research in the IS discipline: a citation/co-citation analysis. Decis. Support. Syst. 86 , 35–47 (2016)

Wang, X., Wang, X.: Multimedia data delivery based on IoT clouds. Commun. ACM 64 (8), 80–86 (2021)

Winkler, T.J., Benlian, A., Piper, M., Hirsch, H.: Bayer healthcare delivers a dose of reality for cloud payoff mantras in multinationals. MIS Q. Exec. 13 , 4 (2014)

Winkler, T.J., Brown, C.V.: Horizontal allocation of decision rights for on-premise applications and Software-as-a-Service. J. Manage. Inf. Syst. 30 (3), 13–48 (2013)

Wright, R.T., Roberts, N., Wilson, D.: The role of context in IT assimilation: a multi-method study of a SaaS platform in the US nonprofit sector. Eur. J. Inf. Syst. 26 (5), 509–539 (2017). https://doi.org/10.1057/s41303-017-0053-2

Wulf, F., Lindner, T., Strahringer, S., Westner, M.: IaaS, PaaS, or SaaS? The why of cloud computing delivery model selection: vignettes on the post-adoption of cloud computing. In: The Proceedings of Proceedings of the 54th Hawaii International Conference on System Sciences, pp. 6285–6294 (2021)

Xiong, Hu., Wang, Yi., Li, W., Chen, C.-M.: Flexible, efficient, and secure access delegation in cloud computing. ACM Trans. Manage. Inf. Syst. 10 (1), 1–20 (2019)

Yang, H., Tate, M.: A descriptive literature review and classification of cloud computing research. Commun. Assoc. Inf. Syst. 31 (1), 2 (2012)

Yaraghi, N., Du, A.Y., Sharman, R., Gopal, R.D., Ramesh, R.: Health Information exchange as a multisided platform: adoption, usage, and practice involvement in service co-production. Inf. Syst. Res. 26 (1), 1–18 (2015)

Yuan, S., Sanjukta Das, R., Ramesh, C.Q.: Service agreement trifecta: backup resources, price and penalty in the availability-aware cloud. Inf. Syst. Res. 29 (4), 947–964 (2018)

Zhang, G., Ravishankar, M.N.: Exploring vendor capabilities in the cloud environment: a case study of Alibaba cloud computing. Inf. Manage. 56 , 343–355 (2019)

Zhang, X., Yue, W.: Integration of on-premises and cloud-based software: the product bundling perspective. J. Assoc. Inform. Syst. 21 , 1507–1551 (2020)

Zorrilla, M., García-Saiz, D.: A service oriented architecture to provide data mining services for non-expert data miners. Decis. Support. Syst.. Support. Syst. 55 (1), 399–411 (2013). https://doi.org/10.1016/j.dss.2012.05.045

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Jha, S., Chaturvedi, D. (2024). Systematic Literature Review of Cloud Computing Research Between 2010 and 2023. In: Kathuria, A., Karhade, P.P., Zhao, K., Chaturvedi, D. (eds) Digital Transformation in the Viral Age. WeB 2022. Lecture Notes in Business Information Processing, vol 508. Springer, Cham. https://doi.org/10.1007/978-3-031-60003-6_5

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A Descriptive Literature Review and Classification of Cloud Computing Research

Haibo Yang , M. Tate

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Key takeaway

Current cloud computing research is mainly focused on technological issues, but new themes on social and organizational implications are emerging..

We present a descriptive literature review and classification scheme for cloud computing research. This includes 205 refereed journal articles published since the inception of cloud computing research. The articles are classified based on a scheme that consists of four main categories: technological issues, business issues, domains and applications, and conceptualising cloud computing. The results show that although current research is still skewed towards technological issues, new research themes regarding social and organisational implications are emerging. This review provides a reference source and classification scheme for IS researchers interested in cloud computing, and to indicate under-researched areas as well as future directions.

A descriptive literature review and classification of cloud computing research

Yang, Haibo & Tate, Mary (2012) A descriptive literature review and classification of cloud computing research. Communications of the Association for Information Systems , 31 , Article number: 2 35-60.

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We present a descriptive literature review and classification scheme for cloud computing research. This includes 205 refereed journal articles published since the inception of cloud computing research. The articles are classified based on a scheme that consists of four main categories: technological issues, business issues, domains and applications, and conceptualising cloud computing. The results show that although current research is still skewed towards technological issues, new research themes regarding social and organisational implications are emerging. This review provides a reference source and classification scheme for IS researchers interested in cloud computing, and to indicate under-researched areas as well as future directions.

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

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ACIS 2009 Proceedings

Where are we at with cloud computing: a descriptive literature review.

Haibo Yang , School of Information Management Victoria, University of Wellington Follow Mary Tate , School of Information Management Victoria, University of Wellington Follow

Cloud computing is an exciting area for research, because of its relative novelty and exploding growth. In this paper, we present a descriptive literature review and classification scheme for cloud computing research. The former consists of 58 articles published since the recent inception of cloud computing. Clearly, there is an explosively increasing amount of cloud computing research has been conducted this year. The articles are classified and results are presented, based on a scheme that consists of four main categories: technological issues, business issues, applications, and general. The results show that although current cloud computing research is still skewed towards technological issues, such as performance, network, and data management, new research theme regarding the social and organisational implications of cloud computing is emerging. We hope this review will provide a snapshot and reference source of the current state of cloud computing research and stimulate further research interest.

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Yang, Haibo and Tate, Mary, "Where are we at with Cloud Computing?: A Descriptive Literature Review" (2009). ACIS 2009 Proceedings . 26. https://aisel.aisnet.org/acis2009/26

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In spite of its potential impact on current business world, cloud computing technology still offers fertile and untapped research opportunities. We conduct a systematic literature reviews for the purpose of identifying research gaps in cloud computing literature. It included 188 referred journal and conference articles. Each article was studied carefully to understand its general theme and then extract a pattern to which the article can be classified. Our review efforts led to the identification of four cloud computing general areas: (1) benefits and risks, (2) adoption, (3) outcomes, and (4) its current state from technological and research perspectives. The study is concluded by introducing a number of research questions that need to be empirically and theoretically investigated. This review provides a reference source and classification for IS researchers interested in cloud computing, and identifies research gaps in the literature.

20th Australasian conference on …

IOSR Journals

Cloud computing is latest trend in IT world. The relative novelty and rapidly increasing growth of cloud computing makes it an exciting area for research. The present paper aims to assess the state of cloud computing research. We portray a current landscape of this research stream, where it is today, and most importantly, given the current relevance of the topic, some suggestions as to where more effort should be focused in the future in order to produce more 'consumable research'. The remainder of this article is organized as follows: First a brief overview of cloud computing is given. Next the research methodology and our classification schema are presented. This is followed by the results of our literature review and classification.

Advances in Computers

Ladan Tahvildari

Will Venters

Theodortos Pitikaris , Kanellos Nikolaos2

amarnath paswan

Cloud computing is the latest effort in delivering computing resources as a service. It represents a shift away from computing as a product that is purchased, to computing as a service that is delivered to consumers over the internet from large-scale data centres – or “clouds”. “Cloud” computing – a relatively recent term, builds on decades of research in virtualization, distributed computing, utility computing, and more recently networking, web and software services. It implies a service oriented architecture, reduced information technology overhead for the end-user, great flexibility, reduced total cost of ownership, ondemand services and many other things. Whilst cloud computing is gaining growing popularity in the IT industry, academia appeared to be lagging behind the rapid developments in this field. This paper is the first systematic review of peer-reviewed academic research published in this field, and aims to provide an overview of the swiftly developing advances in the tec...

International Journal IJRITCC

Citation/Export MLA Rydhm Beri, Veerawali Behal, “Descriptive Study of Cloud Computing: An Emerging Technology”, March 15 Volume 3 Issue 3 , International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), ISSN: 2321-8169, PP: 1401 - 1404, DOI: 10.17762/ijritcc2321-8169.1503108 APA Rydhm Beri, Veerawali Behal, March 15 Volume 3 Issue 3, “Descriptive Study of Cloud Computing: An Emerging Technology”, International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), ISSN: 2321-8169, PP: 1401 - 1404, DOI: 10.17762/ijritcc2321-8169.1503108

Computing Research Repository

Ankit Akash

Cloud computing refers to a paradigm shift to overall IT solutions while raising the accessibility, scalability and effectiveness through its enabling technologies. However, migrated cloud platforms and services cost benefits as well as performances are neither clear nor summarized. Globalization and the recessionary economic times have not only raised the bar of a better IT delivery models but also have given access to technology enabled services via internet. Cloud computing has vast potential in terms of lean Retail methodologies that can minimize the operational cost by using the third party based IT capabilities, as a service. It will not only increase the ROI but will also help in lowering the total cost of ownership. In this paper we have tried to compare the cloud computing cost benefits with the actual premise cost which an organization incurs normally. However, in spite of the cost benefits, many IT professional believe that the latest model i.e. "cloud computing" has risks and security concerns. This report demonstrates how to answer the following questions: (1) Idea behind cloud computing. (2) Monetary cost benefits of using cloud with respect to traditional premise computing. (3) What are the various security issues? We have tried to find out the cost benefit by comparing the Microsoft Azure cloud cost with the prevalent premise cost.

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