A Model for Evaluating Cloud Computing Benefit for Small Business: Extending DeLone and McLean into the Cloud Era

Volume 5, Issue 4, August 2021     |     PP. 40-67      |     PDF (482 K)    |     Pub. Date: August 29, 2021
DOI: 10.54647/isss12148    89 Downloads     3676 Views  


Charles Flack, Network Transformation Consulting, Smyrna, GA, USA
Pamila Dembla, Information Systems, Kennesaw State University, Kennesaw, GA, USA

Cloud computing is a new 21st century computing paradigm to provide a diversity of computational services based on a pay-as-you-go, shared service model for all business types across various industry segments. Information system (IS) success has been extensively researched to frame key attributes of an information system or technology to understand its benefit to business. One definition of IS success is the adoption and extensive use of an information system. In the present era of cloud computing, as in former IS eras, successful implementation is critical for achieving business success in all enterprise types. IS success is also described as a lagging multifaceted measure of technology effectiveness for a business. Early adopters of a new technology are a rich resource to determine benefits for later adopters, and this is true for those businesses looking to implement cloud computing. Cloud computing provides clear and definitive business value, and competitive advantages beyond what small business can build on their own, with measurable net benefit. Based on a parsimonious version of DeLone and McLean IS Success Model, the authors of this study have developed a model to evaluate the experiences of small business cloud computing users. The purpose of this model is to define for essential constructs that focuses on the overall cloud quality and experiences that are related to one single dependent construct that assesses the net benefits of cloud computing for small businesses.

Cloud computing, DeLone and McLean IS Success Model, small businesses

Cite this paper
Charles Flack, Pamila Dembla, A Model for Evaluating Cloud Computing Benefit for Small Business: Extending DeLone and McLean into the Cloud Era , SCIREA Journal of Information Science and Systems Science. Volume 5, Issue 4, August 2021 | PP. 40-67. 10.54647/isss12148


[ 1 ] Abbadi, I. M. (2013). A framework for establishing trust in cloud provenance. International Journal of Information Security 12(2), 111–128 (doi: 10.1007/s10207-012-0179-0).
[ 2 ] Al-Johani, A. A., and Youssef, A. E. 2013. “A framework for ERP systems in SME based on cloud computing technology,” International Journal on Cloud Computing: Services and Architecture 3 (3, pp. 1–14 (doi: 10.5121/ijccsa.2013.3301).
[ 3 ] Alshare, K. A., Freeze, R. D., Lane, P. L., and Wen, H. J. 2011. “The impacts of system and human factors on online learning systems use and learner satisfaction,” Decision Sciences Journal of Innovative Education 9(3), pp. 437–461.
[ 4 ] Anderson, E., Nag, S., Singh, T. J., Sood, B., Hare, J., Eid, T., Dharmasthira, Y., Swinehart, H. H., Eschinger, C., Wurster, L. F., and Yeates, M. 2015. “Forecast analysis: Public cloud services, worldwide, 1Q15 update,” No. G00277763, , Gartner, pp. 1–22.
[ 5 ] Anthes, G. 2010. “Security in the cloud,” Communications of the ACM 53(11), pp. 16–18 (doi: 10.1145/1839676.1839683).
[ 6 ] Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., and Zaharia, M. 2010. “A view of cloud computing,” Communications of the ACM 53(4), pp. 50–58.
[ 7 ] Budriene, D., and Zalieckaite, L. 2012. “Cloud computing application in small and medium-sized enterprises,” Issues of Business and Law (4), pp. 119–130.
[ 8 ] Buyya, R., Yeo, C. S., and Venugopal, S. 2008. “Market-oriented cloud computing: Vision, hype, and reality for delivering IT services as computing utilities,” in High Performance Computing and Communications, 2008. HPCC’08. 10th IEEE International Conference on, IEEE, pp. 5–13 (available at http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4637675).
[ 9 ] Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., and Brandic, I. 2009. “Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility,” Future Generation Computer Systems 25(6), pp. 599–616 (doi: 10.1016/j.future.2008.12.001).
[ 10 ] Cheng, F., Yang, S. L., Akella, R., and Tang, X. T. 2011. “A meta-modelling service paradigm for cloud computing and its implementation,” South African Journal of Industrial Engineering 22(2), pp. 151–160.
[ 11 ] Clarke, R. 2010. “User requirements for cloud computing architecture,” Presented at the In 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (CCGrid), IEEE, pp. 625–630 (doi: 10.1109/CCGRID.2010.20).
[ 12 ] Columbus, L. 2013. “CIOs on cloud computing adoption: Conquer complexity and help us grow,” Forbes (available at http://www.forbes.com/sites/louiscolumbus/2013/07/01/cios-on-cloud-adoption-conquer-complexity-and-help-us-grow/).
[ 13 ] Creeger, M. 2009. “CTO roundtable: Cloud computing,” Communications of the ACM 52(8), pp. 50–56.
[ 14 ] Dai, W. 2009. “The impact of emerging technologies on small and medium enterprises (SMEs),” Journal of Business Systems, Governance and Ethics 4(4), pp. 53–60.
[ 15 ] Davenport, T. H. 1998. “Putting the enterprise into the enterprise system,” Harvard Business Review 76(4), pp. 121–131.
[ 16 ] DeLone, W. H., and McLean, E. R. 2003. “The DeLone and McLean Model of information systems success: A ten-year update,” Journal of Management Information Systems 19(4), pp. 9–30.
[ 17 ] Dutta, A., Peng, G. C. A., and Choudhary, A. 2013. “Risks in enterprise cloud computing: The perspective of IT experts,” Journal of Computer Information Systems 53(4), pp. 39–48.
[ 18 ] Gable, G. G., Sedera, D., and Chan, T. 2008. “Re-conceptualizing information system success: The IS-impact measurement model,” Journal of the Association for Information Systems 9(7), pp. 1–32.
[ 19 ] Garrison, G., Kim, S., and Wakefield, R. L. 2012. “Success factors for deploying cloud computing,” Communications of the ACM 55(9), pp. 62–68 (doi: 10.1145/2330667.2330685).
[ 20 ] Gold, J. 2012. “Protection in the cloud: Risk management and insurance for cloud computing,” Journal of Internet Law 15(12), pp. 1–28.
[ 21 ] Gray, P. H., Parise, S., and Iyer, B. 2011. “Innovation impacts of using social bookmarking systems,” MIS Quarterly 35(3), pp. 629–643.
[ 22 ] Grossman, R. L. 2009. “The case for cloud computing,” IT professional 11(2), pp. 23–27.
[ 23 ] Gupta, P., Seetharaman, A., and Raj, J. R. 2013. “The usage and adoption of cloud computing by small and medium businesses,” International Journal of Information Management 33(5), pp. 861–874 (doi: 10.1016/j.ijinfomgt.2013.07.001).
[ 24 ] Haselmann, T., and Vossen, G. 2011. “Software-as-a-service in small and medium enterprises: An empirical attitude assessment,” in Web Information System Engineering–WISE 2011, Berlin, Germany: Springer, pp. 43–56 (available at http://link.springer.com/chapter/10.1007/978-3-642-24434-6_4).
[ 25 ] Iivari, J. 2005. “An empirical test of the DeLone-McLean model of information system success,” ACM Sigmis Database 36(2), pp. 8–27.
[ 26 ] Iye, E. K., Krishnan, A., Sareen, G., and Panda, T. 2013. “Sectorial adoption analysis of cloud computing by examining the dissatisfied landscape,” Electronic Journal of Information Systems Evaluation 16(3), pp. 211–219.
[ 27 ] Jain, V., and Gupta, A. 2012. “Cloud computing: Concepts, challenges and opportunities for financial managers in India,” Amity Global Business Review (7), pp. 22–29.
[ 28 ] Kalyvas, J. R., Overly, M. R., and Karlyn, M. A. 2013. “Cloud computing: A practical framework for managing cloud computing risk--Part I,” Intellectual Property & Technology Law Journal 25(3), pp. 7–18.
[ 29 ] Ko, R. K., Jagadpramana, P., Mowbray, M., Pearson, S., Kirchberg, M., Liang, Q., and Lee, B. S. 2011. “Trustcloud: A framework for accountability and trust in cloud computing,” in 2011 IEEE World Congress on Services (SERVICES), IEEE, pp. 584–588 (available at http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6012795).
[ 30 ] Krell, E. 2011. “The state of small business,” Baylor Business Review 30(1), pp. 4–9.
[ 31 ] Kudtarkar, P., DeLuca, T. F., Fusaro, V. A., Tonellato, P. J., and Wall, D. P. 2010. “Cost-effective cloud computing: A case study using the comparative genomics tool, roundup,” Evolutionary Bioinformatics (6), pp. 197–203 (doi: 10.4137/EBO.S6259).
[ 32 ] Lee, S., Shin, B., and Lee, H. G. 2009. “Understanding post-adoption usage of mobile data services: The role of supplier-side variables,” Journal of the Association for Information Systems 10(12), pp. 860–888.
[ 33 ] Mahesh, S., Landry, B. J. L., Sridhar, T., and Walsh, K. R. 2011. “A decision table for the cloud computing decision in small business,” Information Resources Management Journal 24(3), pp. 9–25 (doi: 10.4018/irmj.2011070102).
[ 34 ] Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., and Ghalsasi, A. 2011. “Cloud computing—The business perspective,” Decision Support Systems 51(1), pp. 176–189 (doi: 10.1016/j.dss.2010.12.006).
[ 35 ] Mell, P., and Grance, T. 2010. “The NIST definition of cloud computing,” Communications of the ACM 53(6), p. 50.
[ 36 ] Miranda, S. 2013. “ERP in the cloud: CFOs see the value of running enterprise applications as a service,” Financial Executive 29(1), pp. 65–66.
[ 37 ] Nanath, K., and Pillai, R. 2013. “A model for cost-benefit analysis of cloud computing,” Journal of International Technology & Information Management 22(3), pp. 93–117..
[ 38 ] O’Sullivan, D. 2009. “The Internet cloud with a silver lining,” Manager: British Journal of Administrative Management (66), pp. 20–21.
[ 39 ] Petter, S., DeLone, W. H., and McLean, E. R. 2008. “Measuring information systems success: Models, dimensions, measures, and interrelationships,” European Journal of Information Systems 17(3), pp. 236–263 (doi: 10.1057/ejis.2008.15).
[ 40 ] Petter, S., DeLone, W. H., and McLean, E. R. 2013. “Information systems success: The quest for the independent variables,” Journal of Management Information Systems 29(4), pp. 7–62 (doi: 10.2753/MIS0742-1222290401).
[ 41 ] Rajendran, J. 2013. “What CFOs should know before venturing into the cloud,” HFM (Healthcare Financial Management) 67(5), pp. 40–43.
[ 42 ] Rawal, A. 2011. “Adoption of cloud computing in India,” Journal of Technology Management for Growing Economies 2(2), pp. 65–78.
[ 43 ] Robey, D., and Zeller, R. L. 1978. “Factors affecting the success and failure of an information system for product quality,” Interfaces 8(2), pp. 70–75.
[ 44 ] Sako, M. 2012. “Business models for strategy and innovation,” Communications of the ACM 55(7), pp. 22–24 (doi: 10.1145/2209249.2209259).
[ 45 ] Samson, Y., and McDowall, R. D. 2013. “Cloud computing: How to choose the right cloud supplier,” Spectroscopy 28(12), p. 15.
[ 46 ] Smith, R. 2009. “Computing in the cloud,” Research Technology Management 52(5), pp. 65–68.
[ 47 ] Sun, Y., Fang, Y., Lim, K. H., and Straub, D. 2012. “User satisfaction with information technology service delivery: A social capital perspective,” Information Systems Research 23(4), pp. 1195–1211 (doi: 10.1287/isre.1120.0421).
[ 48 ] Wilkins, C. 2009. “The influence of net benefits on collective, innovation, configural system use: A case study of small-to-medium enterprises,” The Electronic Journal of Information Systems Evaluation 12(2), pp. 187–198.
[ 49 ] Wittow, M. H., and Buller, D. J. 2010. “Cloud computing: Emerging legal issues for access to data, anywhere, anytime,” Journal of Internet Law 14(1), pp. 1–10.
[ 50 ] Wixom, B. H., and Todd, P. A. 2005. “A theoretical integration of user satisfaction and technology acceptance,” Information Systems Research 16(1), pp. 85–102 (doi: 10.1287/isre.1050.0042).
[ 51 ] Xu, J., Benbasat, I., and Cenfetelli, R. 2013. “Integrating service quality with system and information quality: An empirical test in the e-Service context,” MIS Quarterly 37(3), pp. 777–794.