IT Capabilities, Strategic Flexibility and Organizational Resilience in SMEs Post-COVID-19: A Mediating and Moderating Role of Big Data Analytics Capabilities

Overview

Journal Glob J Flex Syst Manag

Publisher Springer

Date 2023 Jul 31

PMID 37519430

Authors

Ragmoun Wided

Affiliations

Soon will be listed here.

Abstract

This research provides a novel progression to the existing research about big data analytics capabilities (BDAC) by investigating and measuring its influence on organizational resilience and strategic flexibility. Toward that end, 400 different SMEs in Saudi Arabia were approached. Data were collected via questionnaire. Results confirm that the ability to handle big data analytics totally mediates the relationship between IT capabilities and strategic flexibility. Big data infrastructure flexibility has a negative effect on strategic flexibility. Big data personal expertise not only negatively affects the relationship between IT capabilities and strategic flexibility but also stimulates and reinforces the relationship between strategic flexibility and organizational resilience. The critical pathway developed and tested the trend to make the organization as an immune system able to make the best of the worst. This implies the urgent need for policymakers and managers to adopt and comprehend the concept of BDAC instead of IT capabilities to define oriented plans specifically formulated for stimulating strategic flexibility and organizational resilience. By adopting the proposed model, SMEs can interact more effectively internally and externally.

References

Asamoah J, Owusu M, Jin Z, Oduro F, Abidemi A, Gyasi E . Global stability and cost-effectiveness analysis of COVID-19 considering the impact of the environment: using data from Ghana. Chaos Solitons Fractals. 2020; 140:110103. PMC: 7351453. DOI: 10.1016/j.chaos.2020.110103. View

Lee S, Trimi S . Convergence innovation in the digital age and in the COVID-19 pandemic crisis. J Bus Res. 2020; 123:14-22. PMC: 7518178. DOI: 10.1016/j.jbusres.2020.09.041. View

Xie Y, Bowe B, Al-Aly Z . Burdens of post-acute sequelae of COVID-19 by severity of acute infection, demographics and health status. Nat Commun. 2021; 12(1):6571. PMC: 8589966. DOI: 10.1038/s41467-021-26513-3. View

Provost F, Fawcett T . Data Science and its Relationship to Big Data and Data-Driven Decision Making. Big Data. 2016; 1(1):51-9. DOI: 10.1089/big.2013.1508. View

Del Vecchio A, Negro F, Falla D, Bazzucchi I, Farina D, Felici F . Higher muscle fiber conduction velocity and early rate of torque development in chronically strength-trained individuals. J Appl Physiol (1985). 2018; 125(4):1218-1226. DOI: 10.1152/japplphysiol.00025.2018. View

Lozada D, Ward B, Carter A . Gains through selection for grain yield in a winter wheat breeding program. PLoS One. 2020; 15(4):e0221603. PMC: 7188280. DOI: 10.1371/journal.pone.0221603. View

Sideridis G, Simos P, Papanicolaou A, Fletcher J . Using Structural Equation Modeling to Assess Functional Connectivity in the Brain: Power and Sample Size Considerations. Educ Psychol Meas. 2014; 74(5):733-758. PMC: 4245025. DOI: 10.1177/0013164414525397. View

Angeles A, Perez-Encinas A, Villanueva C . Characterizing Organizational Lifecycle through Strategic and Structural Flexibility: Insights from MSMEs in Mexico. Glob J Flex Syst Manag. 2023; 23(2):271-290. PMC: 8936384. DOI: 10.1007/s40171-022-00301-4. View

Ufua D, Olujobi O, Tahir H, Al-Faryan M, Matthew O, Osabuohien E . Lean Entrepreneurship and SME Practice in a Post COVID-19 Pandemic Era: A Conceptual Discourse from Nigeria. Glob J Flex Syst Manag. 2023; 23(3):331-344. PMC: 9084273. DOI: 10.1007/s40171-022-00304-1. View

10.

Hoyle R, Gottfredson N . Sample Size Considerations in Prevention Research Applications of Multilevel Modeling and Structural Equation Modeling. Prev Sci. 2014; 16(7):987-96. PMC: 4207737. DOI: 10.1007/s11121-014-0489-8. View

11.

Singh S, Dhir S, Evans S, Sushil . The Trajectory of Two Decades of Global Journal of Flexible Systems Management and Flexibility Research: A Bibliometric Analysis. Glob J Flex Syst Manag. 2024; 22(4):377-401. PMC: 8418692. DOI: 10.1007/s40171-021-00286-6. View

12.

Mokline B, Ben Abdallah M . The Mechanisms of Collective Resilience in a Crisis Context: The Case of The 'COVID-19' Crisis. Glob J Flex Syst Manag. 2023; 23(1):151-163. PMC: 8724648. DOI: 10.1007/s40171-021-00293-7. View

13.

Wolf E, Harrington K, Clark S, Miller M . Sample Size Requirements for Structural Equation Models: An Evaluation of Power, Bias, and Solution Propriety. Educ Psychol Meas. 2015; 76(6):913-934. PMC: 4334479. DOI: 10.1177/0013164413495237. View

14.

Mokline B, Ben Abdallah M . Individual Resilience in the Organization in the Face of Crisis: Study of the Concept in the Context of COVID-19. Glob J Flex Syst Manag. 2024; 22(3):219-231. PMC: 8217778. DOI: 10.1007/s40171-021-00273-x. View

15.

Awwad A, Ababneh O, Karasneh M . The Mediating Impact of IT Capabilities on the Association between Dynamic Capabilities and Organizational Agility: The Case of the Jordanian IT Sector. Glob J Flex Syst Manag. 2023; 23(3):315-330. PMC: 9011373. DOI: 10.1007/s40171-022-00303-2. View

16.

Baron R, Kenny D . The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986; 51(6):1173-82. DOI: 10.1037//0022-3514.51.6.1173. View