CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Cloud Computing and Organizational Resilience: An Empirical Investigation in the Context of Saudi Enterprises

by Waleed Afandi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 30
Year of Publication: 2021
Authors: Waleed Afandi
10.5120/ijca2021921693

Waleed Afandi . Cloud Computing and Organizational Resilience: An Empirical Investigation in the Context of Saudi Enterprises. International Journal of Computer Applications. 183, 30 ( Oct 2021), 47-58. DOI=10.5120/ijca2021921693

@article{ 10.5120/ijca2021921693,
author = { Waleed Afandi },
title = { Cloud Computing and Organizational Resilience: An Empirical Investigation in the Context of Saudi Enterprises },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2021 },
volume = { 183 },
number = { 30 },
month = { Oct },
year = { 2021 },
issn = { 0975-8887 },
pages = { 47-58 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number30/32124-2021921693/ },
doi = { 10.5120/ijca2021921693 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:18:23.209113+05:30
%A Waleed Afandi
%T Cloud Computing and Organizational Resilience: An Empirical Investigation in the Context of Saudi Enterprises
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 30
%P 47-58
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Whereas cloud computing has become a popular approach to implementing and managing information systems, little remains known about its potential impact on organizational resilience. Using a capability perspective, this study investigated the relationship between cloud computing capabilities and organizational resilience conceptualized as anticipation of crisis, coping with crisis, and adaptation to post-crisis environments. The relationship was tested based on survey data of 396 companies in Saudi Arabia. The results of the study showed that flexibility, integration, and service capabilities of cloud computing are positively related to crisis coping and adaptation, but not to crisis anticipation. Where the relationships were confirmed, a positive moderating role of cloud computing spending was also established. The results were controlled for company size and industry. Theoretical and practical implications of the findings are presented and research directions are outlined.

References
  1. Cloud computing market by service model (infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS)), deployment model (public and private), organization size, vertical, and region - global forecast to 2025. (2021). Markets and Markets. Retrieved from https://www.marketsandmarkets.com/Market-Reports/cloud-computing-market-234.html
  2. Coyle, D., & Nguyen, D. (2019). Cloud computing, cross-border data flows and new challenges for measurement in economics. National Institute Economic Review, 249, R30-R38.
  3. Etro, F. (2011). The economics of cloud computing. INTERTIC: International Think Tank on Innovation and Competition. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.656.7166&rep=rep1&type=pdf
  4. Vu, K., Hartley K., &Kankanhalli A. (2020). Predictors of cloud computing adoption: a cross-country study. Telematics and Informatics, 52, https://doi.org/10.1016/j.tele.2020.101426
  5. Deng, C.P., Wang, T., Teo, T.S.H., & Song, Q. (2021). Organizational agility through outsourcing: Roles of IT alignment, cloud computing and knowledge transfer. International Journal of Information Management, 60, 102385. https://doi.org/10.1016/j.ijinfomgt.2021.102385
  6. Liu, S; Chan, F.T.S., Yang, J., & Niu, B. (2018). Understanding the effect of cloud computing on organizational agility: An empirical examination. International Journal of Information Management, 43, 98-111.
  7. Khayer, A., Bao, Y.andNguyen, B.(2020). Understanding cloud computing success and its impact on firm performance: an integrated approach. Industrial Management & Data Systems, 120(5), 963-985.
  8. Lin, M., Lin, C., &Chang, Y.-S. (2021). The impact of using a cloud supply chain on organizational performance. Journal of Business & Industrial Marketing, 36(1), 97-110.
  9. Chang, Y., Wong, S.F., Eze, U., &Lee, H. (2019). The effect of IT ambidexterity and cloud computing absorptive capacity on competitive advantage. Industrial Management & Data Systems, 119(3), 613-638.
  10. Luo, X., Zhang, W., Bose, R., Li, H., & Chung, Q.B. (2018). Producing competitive advantage from an infrastructure technology: The case of cloud computing. Information Systems Management, 35(2), 147-160.
  11. Al-Ruithe, M., Benkhelifa, E., & Hameed, K. (2018). Key issues for embracing the cloud computing to adopt a digital transformation: a study of Saudi public sector. Procedia Computer Science, 130, 1037-1043.
  12. Alhammadi, A., Stanier, C. & Eardley, A. (2015). The determinants of cloud computing adoption in Saudi Arabia. Computer Science & Information Technology, 55-67.
  13. Alkhater, N., Wills, G., & Walters, R. (2014). Factors influencing organization’s intention to adopt cloud computing in Saudi Arabia. Proceedings of IEEE 6th International Conference on Cloud Computing Technology & Science, 1040-1044.
  14. Albelaihi, A., & Khan, N. (2020). Top benefits and hindrances to cloud computing adoption in Saudi Arabia: a brief study. Journal of Information Technology Management, 12(2), 107-122.
  15. Alshahrani, S.G.S. (2021). The effect of cloud computing adoption on organizational performance of SMEs in Saudi Arabia. International Journal of Contemporary Management and Information Technology, 1(2), 1-6.
  16. Miceli, A., Hagen, B., Riccardi, M.P., Sotti, F., Settembre-Blundo, D. (2021). Thriving, not just surviving in changing times: how sustainability, agility and digitalization intertwine with organizational resilience. Sustainability, 13, 2052-2069.
  17. Liu, H., Wei, S., Ke, W., Wei, K. K., & Hua, Z. (2016). The configuration between supply chain integration and information technology competency: A resource orchestration perspective. Journal of Operations Management, 44, 13–29.
  18. Lu, Y., & Ramamurthy, K. (2011). Understanding the link between information technology capability and organizational agility: An empirical examination. MIS Quarterly, 35(4), 931–954
  19. Duchek, S. (2020). Organizational resilience: a capability-based conceptualization. Business Research, 13, 215-246.
  20. Ruiz-Martin, C., López-Paredes, A., & Wainer, G. (2018). What we know and do not know about organizational resilience. International Journal of Production Management and Engineering, 6(1), 11-28.
  21. Sahebjamnia, M., Torabi, S.A., & Mansouri, S.A. (2018). Building organizational resilience in the face of multiple disruptions. International Journal of Production Economics, 197, 63-83.
  22. Golden, W., & Powell, P. (2000). Towards a definition of flexibility: In search of the Holy Grail? Omega, 28, 373–384.
  23. McCann, J. (2004). Organizational effectiveness: Changing concepts for changing environments. Human Resource Planning, 27, 42–50.
  24. Lengnick-Hall, C.A., Beck, T.E., &Lengnick-Hall, M.L. (2011). Developing a capacity for organizational resilience through strategic human resource management. Human Resource Management Review, 21, 243–255.
  25. Madni, A.M., & Jackson, S. (2009). Towards a conceptual framework for resilience engineering. IEEE Systems Journal, 3, 181–191.
  26. Alblas, A., & Jayaram, J. (2015). Design resilience in the fuzzy front end (FFE) context: An empirical examination. International Journal of Production Research, 53(22), 6820–6838.
  27. Tierney, K.J. (2003). Conceptualizing and measuring organizational and community resilience: Lessons from the emergency response following the September 11, 2001 attack on the World Trade Center. Disaster Research Center, Preliminary Papers 329.
  28. Bell, M. (2002). The five principles of organizational resilience. Gartner Research, 2–4. Retrieved from https://www.gartner.com/en/documents/351410/the-five-principles-of-organizational-resilience
  29. Lengnick-Hall, Cynthia A., and Tammy E. Beck. 2009. Resilience capacity and strategic agility: Prerequisites for thriving in a dynamic environment. In Resilience engineering perspectives, Volume 2. Preparation and restoration, ed. Christopher P. Nemeth, Erik Hollnagel, and Sidney Dekker, 39–70. Aldershot: Ashgate Publishing.
  30. MamouniLimnios, E., Mazzarol, T., Ghadouani, A., Schilizzi, S. G. (2014). The resilience architecture framework: Four organizational archetypes. European Management Journal, 32(1), 104–116.
  31. Mafabi, S., Munene, J. C., &Ahiauzu, A. (2015). Creative climate and organisational resilience: the mediating role of innovation. International Journal of Organizational Analysis, 23(4), 564–587
  32. Williams, T.A., Gruber, D.A., Sutcliffe, K.M., Shepherd, D.A., & Zhao, E.Y. (2017). Organizational response to adversity: fusing crisis management and resilience research streams. Academy of Management Annals, 11, 733–769.
  33. Boin, A., Hart, P., Stern, E., & Sundelius, B. (2005). The politics of crisis management: Public leadership under pressure. Cambridge: Cambridge University Press.
  34. Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. Retrieved from http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf
  35. Assunção, M.D., Calheiros, R.N., Bianchi, S., Netto, M.A.S., &Buyya, R. (2015). Big data computing and clouds: trends and research directions. Journal of Parallel and Distributed Computing, 79/80, 3-15.
  36. Diaby, T., & Rad, B.B. (2017). Cloud computing: a review of the concepts and deployment models. International Journal of Information Technology and Computer Science, 6, 50-58.
  37. Sun, P. (2020). Security and privacy protection in cloud computing: discussion and challenges. Journal of Networks and Computer Applications, 160, 102642. https://doi.org/10.1016/j.jnca.2020.102642
  38. Vithayathil, J. (2018). Will cloud computing make the Information Technology (IT) department obsolete? Information Systems Journal, 28(4), 634-649.
  39. Zhang, G., Fu, L., & Liang, Y. (2020). The impact of cloud computing infrastructure capability on enterprise agility: based on the perspective of IT business alignment. In Proceedings of the 2020 3rd International Conference on Signal Processing and Machine Learning, October 2020, 48–55.
  40. Morisse, M., & C. Prigge (2017). Design of a business resilience model for Industry 4.0 manufacturers. Proceedings of MCIS 2017 – Organizational Transformation and Information Systems Conference (SIGORSA). Retrieved from https://aisel.aisnet.org/amcis2017/OrganizationalIS/Presentations/4/
  41. Ivanov D. (2018). New drivers for supply chain structural dynamics and resilience: sustainability, industry 4.0, self-adaptation. In: Structural Dynamics and Resilience in Supply Chain Risk Management. International Series in Operations Research & Management Science, vol 265. Springer, Cham.
  42. Nurunnabi, M. (2020). Recovery planning and resilience of SMEs during the COVID-19: experience from Saudi Arabia. Journal of Accounting and Organizational Change, 1832-5912 Doi: 10.1108/JAOC-07-2020-0095
  43. Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., & Konwinski, A. (2010). Above the clouds: A Berkeley view of cloud computing. Communications of the ACM, 53(4), 50–58.
  44. Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management Information Systems, 17(1), 99–120.
  45. Amit, R., & Schoemaker, P.J.H. (1993). Strategic assets and organizational rent. Strategic Management Journal, 14(1), 33–46.
  46. Karimi, J., Somers, T., &Bhattacherjee, A. (2007). The role of information systems resources in ERP capability building and business process outcomes. Journal of Management Information Systems, 24(2), 221-260.
  47. Neirotti, P., & Raguseo, E. (2017). On the contingent value of IT-based capabilities for the competitive advantage of SMEs: Mechanisms and empirical evidence. Information & Management, 54(2), 139-153.
  48. Battleson, D. A., West, B. C., Kim, J., Ramesh, B., & Robinson, P. S. (2016). Achieving dynamic capabilities with cloud computing: An empirical investigation. European Journal of Information Systems, 25(3), 209–230.
  49. Benitez-Amado, J., &Walczuch, R.M. (2012). Information technology, the organizational capability of proactive corporate environmental strategy and firm performance: A resource-based analysis. European Journal of Information Systems, 21(6), 664–79.
  50. Bhatt, G., Emdad, A., Roberts, N., & Grover, V. (2010). Building and leveraging information in dynamic environments: The role of IT infrastructure flexibility as enabler of organizational responsiveness and competitive advantage. Information & Management, 47(7-8), 341–349.
  51. Liu, H., Ke, W., Wei, K. K., & Hua, Z. (2013). The impact of IT capabilities on firm performance: The mediating roles of absorptive capacity and supply chain agility. Decision Support Systems, 54(3), 1452–1462.
  52. Chae, H-C., Koh, C.E., & Park, K.O. (2018). Information technology capability and firm performance: role of industry. Information & Management, 55(5), 525-546.
  53. Teixeira, E.O., & Werther, W.B. Jr. (2013). Resilience: continuous renewal of competitive advantages. Business Horizons, 56, 333–342.
  54. Duchek, S. (2020). Organizational resilience: a capability-based conceptualization. Business Research, 13, 215-246.
  55. Schulman, P.R. (2004). General attributes of safe organizations. Quality and Safety In Health Care, 13: ii39–ii44
  56. Alashhab, Z.R., Anbar, M., Singh, M.M., Leau, Y-B., Al-Sai, Z.A., &Alhayja’a, S.A. (2021). Impact of coronavirus pandemic crisis on technologies and cloud computing applications. Journal of Electronic Science and Technology, 19(1), 100059. https://doi.org/10.1016/j.jnlest.2020.100059
  57. Jaques, T. (2007). Issue management and crisis management: An integrated, non-linear, relational construct. Public Relations Review, 33, 147–157
  58. Ali, A., Warren, D., & Mathiassen, L. (2017). Cloud-based business services innovation: A risk management model. International Journal of Information Management, 37(6), 639–649.
  59. Garrison, G., Wakefield, R. L., & Kim, S. (2015). The effects of IT capabilities and delivery model on cloud computing success and firm performance for cloud supported processes and operations. International Journal of Information Management, 35(4), 377–393.
  60. Andreas, J., & Frank, T. (2015). Integrating cloud computing in supply chain processes: A comprehensive literature review. Journal of Enterprise Information Management, 28(6), 872–904.
  61. Limnios, E.A.M., Mazzarol, T., Ghadouani, A., &Schilizzi, S.G.M. (2014). The resilience architecture framework: four organizational archetypes. European Management Journal 32, 104–116.
  62. Ates, A., &Bititci, U. (2011). Change process: A key enabler for building resilient SMEs. International Journal of Production Research, 49, 5601–5618.
  63. Bruque-Cámara, S., Moyano-Fuentes, J., & Maqueira-Marín, J. M. (2016). Supply chain integration through community cloud: Effects on operational performance. Journal of Purchasing and Supply Management, 22(2), 141–153.
  64. Gosain, S., Malhotra, A., &Sawy, O.A.E. (2005). Coordinating for flexibility in e-business supply chains. Journal of Management Information Systems, 21(3), 7–45.
  65. Henderson, J.C., & Venkatraman, H. (1999). Strategic alignment: leveraging information technology for transforming organizations. IBM Journal of Research and Development, 38, 472-484.
  66. Brislin, R.W. (1970). Back-translation for cross-cultural research. Journal of Cross-Cultural Psychology, 1(3), 185–216.
  67. Dattalo, P. (2008). Determining sample size: balancing power, precision, and practicality. Oxford University Press.
  68. Shapiro, S. S., &Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika. 52(3–4), 591–611.
  69. Cronbach, L.J., & Shavelson, R.J. (2004). My current thoughts on coefficient alpha and successor procedures. Educational and Psychological Measurement, 64(3), 391-418
  70. Fornell, C., &Larcker, D. F. (1981). Structural equation model with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–389.
  71. Field, A. (2009). Discovering statistics using SPSS. (3rd Ed.). London: Sage.
  72. Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N.P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539-569.
  73. Kline, R.B. (2010). Principles and practice of structural equation modeling. New York, NY: The Guilford Press.
  74. Wang, N., Liang, H., Jia, Y., Ge, S., Xue, Y., & Wang, Z. (2016). Cloud computing research in the IS discipline: A citation/co-citation analysis. Decision Support Systems, 86, 35–47.
  75. Alsafi, T., & Fan, I-S. (2020). Investigation of cloud computing barriers: a case study in Saudi Arabian SMEs. Journal of Information Systems Engineering and Management, 5(4), em0129.
  76. Sánchez, P.R.P. (2017). Drivers and barriers of the cloud computing in SMEs: the position of the European Union. Harvard Deusto Business Research, 6(2), 116-132.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing organizational resilience IT spending capability

Powered by PhDFocusTM