References

Title:Roles of Cloud Operation Management Framework in improving the ability of IT managers to manage associated organizational resources for cloud services

Ackermann, T., Widjaja, T., Benlian, A., & Buxmann, P. (2012). Perceived IT security risks of cloud computing: Conceptualization and scale development.

Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., … & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM53(4), 50-58.

Assunção, M. D., Calheiros, R. N., Bianchi, S., Netto, M. A., & Buyya, R. (2015). Big Data computing and clouds: Trends and future directions. Journal of Parallel and Distributed Computing79, 3-15.

Baker, J. (2012). The technology–organization–environment framework. In Information systems theory (pp. 231-245). Springer, New York, NY.

Bayrak, T. (2013). A decision framework for SME Information Technology (IT) managers: Factors for evaluating whether to outsource internal applications to Application Service Providers. Technology in Society35(1), 14-21.

Bayramusta, M., & Nasir, V. A. (2016). A fad or future of IT?: A comprehensive literature review on the cloud computing research. International Journal of Information Management36(4), 635-644.

Benedettini, O., Neely, A., & Swink, M. (2015). Why do servitized firms fail? A risk-based explanation. International Journal of Operations & Production Management35(6), 946-979.

Benlian, A., & Hess, T. (2011). Opportunities and risks of software-as-a-service: Findings from a survey of IT executives. Decision Support Systems52(1), 232-246.

Bhattacherjee, A., & Park, S. C. (2014). Why end-users move to the cloud: a migration-theoretic analysis. European Journal of Information Systems, 23(3), 357-372.

Bonett, D. G., & Wright, T. A. (2015). Cronbach’s alpha reliability: Interval estimation, hypothesis testing, and sample size planning. Journal of Organizational Behavior36(1), 3-15.

Bonometti, R. J. (2012, July). Technology Considerations for Competing in the” Big Data”-Social-Mobile-Cloud Marketing Space. In Competition Forum (Vol. 10, No. 2, p. 209). American Society for Competitiveness.

Bryman, A., & Bell, E. (2011). Ethics in business research. Business Research Methods.

Brynjolfsson, E., Hofmann, P., & Jordan, J. (2010). Cloud computing and electricity: beyond the utility model. Communications of the ACM53(5), 32-34.

Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009). Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation computer systems25(6), 599-616.

Chen, C. P., & Zhang, C. Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 275, 314-347.

Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS quarterly, 36(4), 1165-1188.

Christopher, M., & Peck, H. (2012). Marketing logistics. Routledge.

CompTia (2016).IT Industry Outlook- 2016. Online Available at: https://www.comptia.org/resources/it-industry-outlook-2016-final: Retrieved on 11/10/2018

Danaher, M., & Chong, C. J. (2014). User Concerns on Cloud Security–A KUWAIT Perspective. International Journal of Computer and Information Technology, 3(6), 1264-1269.

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.

Dhar, P. (2012). Cloud computing and its applications in the world of networking. International Journal of Computer Science Issues (IJCSI)9(1), 430.

Di Martino, B., Petcu, D., Cossu, R., Goncalves, P., Máhr, T., & Loichate, M. (2010, August). Building a mosaic of clouds. In European Conference on Parallel Processing (pp. 571-578). Springer, Berlin, Heidelberg.

Doody, O., & Bailey, M. E. (2016). Setting a research question, aim and objective. Nurse researcher23(4).

Doole, I., & Lowe, R. (2008). International marketing strategy: analysis, development and implementation. Cengage Learning EMEA.

Easterby-Smith, M., Thorpe, R. and Jackson, P. (2012). Management Research. London: Sage Publications Ltd.

Fischer, C., & Gregor, S. (2011, May). Forms of reasoning in the design science research process.

Fouquet, F., Morin, B., Fleurey, F., Barais, O., Plouzeau, N., & Jezequel, J. M. (2012, June). A dynamic component model for cyber physical systems. In Proceedings of the 15th ACM SIGSOFT symposium on Component Based Software Engineering (pp. 135-144). ACM.

Gale, N. K., Heath, G., Cameron, E., Rashid, S., & Redwood, S. (2013). Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC medical research methodology13(1), 117.

Garrison, G., Kim, S., & Wakefield, R. L. (2012) ‘Success factors for deploying cloud computing’, Communications of the ACM, 55(9), pp. 62-68.

Goertz, G., & Mahoney, J. (2012). A tale of two cultures: Qualitative and quantitative research in the social sciences. Princeton University Press.

Gutierrez, A., Boukrami, E., & Lumsden, R. (2015). Technological, organisational and environmental factors influencing managers’ decision to adopt cloud computing in the UK. Journal of Enterprise Information Management28(6), 788-807.

Haber, L. (2016).2016 channel trends: Digital transformation to alter relationships. Available at: http://searchitchannel.techtarget.com/feature/2016-channel-trends-Digital-transformation-to-alter-relationships (Accessed: 10/11/2018).

Hallgren, M., & Olhager, J. (2009). Lean and agile manufacturing: external and internal drivers and performance outcomes. International Journal of Operations & Production Management29(10), 976-999.

Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems47, 98-115.

Heo, M., Kim, N., & Faith, M. S. (2015). Statistical power as a function of Cronbach alpha of instrument questionnaire items. BMC medical research methodology15(1), 86.

Hew, T. S., & Kadir, S. L. S. A. (2016). Understanding cloud-based VLE from the SDT and CET perspectives: Development and validation of a measurement instrument. Computers & Education101, 132-149.

Hsu, P. F., Ray, S., & Li-Hsieh, Y. Y. (2014). Examining cloud computing adoption intention, pricing mechanism, and deployment model. International Journal of Information Management34(4), 474-488.

In International Conference on Design Science Research in Information Systems (pp. 17-31). Springer, Berlin, Heidelberg.

Johansson, B., & Ruivo, P. (2013). Exploring factors for adopting ERP as SaaS. Procedia Technology9, 94-99.

Kambatla, K., Kollias, G., Kumar, V., & Grama, A. (2014). Trends in big data analytics. Journal of Parallel and Distributed Computing74(7), 2561-2573.

Kar, M., Nazlıoğlu, Ş., & Ağır, H. (2011). Financial development and economic growth nexus in the MENA countries: Bootstrap panel granger causality analysis. Economic modelling28(1-2), 685-693.

Kessaci, Y., Melab, N., & Talbi, E. G. (2013, June). A pareto-based genetic algorithm for optimized assignment of vm requests on a cloud brokering environment. In CEC-IEEE Congress on Evolutionary Computation-2013.

Kumbhare, A., Simmhan, Y., & Prasanna, V. (2012, June). Cryptonite: a secure and performant data repository on public clouds. In Cloud Computing (CLOUD), 2012 IEEE 5th International Conference on (pp. 510-517). IEEE.

Lacity, M., & Reynolds, P. (2014). Cloud services practices for small and medium sized
enterprises. MIS Quarterly Executive, 13(1), 31–44.

Liebowitz, J. (2013).Business Analytics: An Introduction. Boca Raton: CRC Press.

Lin, A., & Chen, N. C. (2012) ‘Cloud computing as an innovation: Perception, attitude, and adoption’, International Journal of Information Management, 32(6), pp. 533-540.

Manvi, S. S., &Shyam, G. K. (2014). Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey. Journal of Network and Computer Applications, 41, 424-440.

Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., &Ghalsasi, A. (2011). Cloud computing – The business perspective. Decision Support Systems, 51(1), 176–189.

Menychtas, A., Vogel, J., Giessmann, A., Gatzioura, A., Gomez, S. G., Moulos, V., &Varvarigou, T. (2014). 4caast marketplace: An advanced business environment for trading cloud services. Future Generation Computer Systems, 41, 104-120.

Misra, S. C., & Mondal, A. (2011). Identification of a company’s suitability for the adoption of cloud computing and modelling its corresponding Return on Investment. Mathematical and Computer Modelling53(3-4), 504-521.

Mouratidis, H., Islam, S., Kalloniatis, C., & Gritzalis, S. (2013). A framework to support selection of cloud providers based on security and privacy requirements. Journal of Systems and Software86(9), 2276-2293.

Oliveira, T., & Martins, M. F. (2010). Understanding e-business adoption across industries in European countries. Industrial Management & Data Systems110(9), 1337-1354.

Onwuegbuzie, A. J., & Leech, N. L. (2007). Sampling designs in qualitative research: Making the sampling process more public. The qualitative report12(2), 238-254.

Ortega, M. J. R. (2010). Competitive strategies and firm performance: Technological capabilities’ moderating roles. Journal of Business Research63(12), 1273-1281.

Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015).

Park, S. C., & Ryoo, S. Y. (2013). An empirical investigation of end-users’ switching toward cloud computing: A two factor theory perspective. Computers in Human Behavior, 29(1), 160-170.

Petcu, D., Craciun, C., & Rak, M. (2011). Towards a cross platform cloud API. In 1st International Conference on Cloud Computing and Services Science (pp. 166-169).

Porter, M. E. (1998). Clusters and the new economics of competition (Vol. 76, No. 6, pp. 77-90). Boston: Harvard Business Review.

Prahalad, C. K., & Ramaswamy, V. (2004). Co-creation experiences: The next practice in value creation. Journal of interactive marketing18(3), 5-14.

Schein, E. & Lewis, N. (2015).Evolve Your Channel Business. Newton: TechTarget. Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in Mental Health and Mental Health Services Research42(5), 533-544.

Ratten, V. (2016). Continuance use intention of cloud computing: Innovativeness and creativity perspectives. Journal of Business Research, 69(4), pp. 1737-1740.

Sarwar, R., & Hassan, S. U. (2015). A bibliometric assessment of scientific productivity and international collaboration of the Islamic World in science and technology (S&T) areas. Scientometrics105(2), 1059-1077.

Saunders, M., Lewis, P. and Thornhill, A.  (2012).Research methods for business students. Harlow:Financial Times/Prentice Hall.

Saya, S., Pee, L. G., & Kankanhalli, A. (2010, January). The Impact of Institutional Influences on Perceived Technological Characteristics and Real Options in Cloud Computing Adoption. In ICIS (Vol. 24).

Scotland, J. (2012). Exploring the philosophical underpinnings of research: Relating ontology and epistemology to the methodology and methods of the scientific, interpretive, and critical research paradigms. English Language Teaching5(9), 9.

Sharma, S. K., Al-Badi, A. H., Govindaluri, S. M., & Al-Kharusi, M. H. (2016) ‘Predicting motivators of cloud computing adoption: A developing country perspective’, Computers in Human Behavior, 62, 61-69.

Shein, A. U., Chrysanthis, P. K., & Labrinidis, A. (2015). Processing of aggregate continuous queries in a distributed environment.

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), pp. 1-11.

Subramanian, N., Abdulrahman, M. D., & Zhou, X. (2014). Integration of logistics and cloud computing service providers: Cost and green benefits in the Chinese context. Transportation Research Part E: Logistics and Transportation Review70, 86-98.

Sultan, N. (2013). Cloud computing: a democratizing force? International Journal of
Information Management, 33(5), 810–815.

Toosi, A. N., Calheiros, R. N., & Buyya, R. (2014). Interconnected cloud computing environments: Challenges, taxonomy, and survey. ACM Computing Surveys (CSUR)47(1), 7.

Tordsson, J., Montero, R. S., Moreno-Vozmediano, R., & Llorente, I. M. (2012). Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers. Future Generation Computer Systems28(2), 358-367.

Truong, D. (2010). How cloud computing enhances competitive advantages: A research model for small businesses. The Business Review, Cambridge15(1), 59-65.

Velte, A. T., Velte, T. J., Elsenpeter, R. C., & Elsenpeter, R. C. (2010). Cloud computing: a practical approach (p. 44). New York: McGraw-Hill

Wamba, S. F., Akter, S., Edwards, A., Chopin, G., &Gnanzou, D. (2015). How ‘big data’can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165, 234-246.

Wang, F. K., & He, W. (2014). Service strategies of small cloud service providers: A case study of a small cloud service provider and its clients in Taiwan. International Journal of Information Management34(3), 406-415.

Wu, D., Greer, M. J., Rosen, D. W., & Schaefer, D. (2013). Cloud manufacturing: Strategic vision and state-of-the-art. Journal of Manufacturing Systems32(4), 564-579.

Wu, L., Garg, S. K., & Buyya, R. (2011, May). SLA-based resource allocation for software as a service provider (SaaS) in cloud computing environments. In Proceedings of the 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (pp. 195-204). IEEE Computer Society.

Wu, S. P. J., Straub, D. W., & Liang, T. P. (2015). How information technology governance mechanisms and strategic alignment influence organizational performance: Insights from a matched survey of business and IT managers. Mis Quarterly39(2), 497-518.

Xu, X. (2012). From cloud computing to cloud manufacturing. Robotics and computer-integrated manufacturing28(1), 75-86.

Yeboah-Boateng, E. O., &Essandoh, K. A. (2014). Factors influencing the adoption of cloud computing by small and medium enterprises in developing economies. International Journal of Emerging Science and Engineering, 2(4), 13-20.

Yilmaz, K. (2013). Comparison of quantitative and qualitative research traditions: Epistemological, theoretical, and methodological differences. European Journal of Education48(2), 311-325.

Yoo, C. S. (2011). Cloud computing: Architectural and policy implications. Review of Industrial Organization38(4), 405-421.

Young, K. E. (2016). Women’s labor force participation across the GCC. Arab Gulf States Institute in Washington.

Zhang, H., Jiang, G., Yoshihira, K., & Chen, H. (2014). Proactive workload management in hybrid cloud computing. IEEE Transactions on Network and Service Management11(1), 90-100.

Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: state-of-the-art and research challenges. Journal of internet services and applications1(1), 7-18.