Gaining an Understanding of DevOps from its Enablers to Its Impact on Performance

Authors

DOI:

https://doi.org/10.4108/eetsis.5228

Keywords:

DevOps, IT businesses, Deployment

Abstract

Despite these efforts' merit, academics have had trouble keeping up with the radical shifts in how software is created and supplied to clients. DevOps has revolutionized the way IT businesses are intended to operate as the result of years of hard effort and improvement to software delivery methods, techniques, and philosophies. Despite its widespread use and the positive effects, it has had on IT businesses' bottom lines, few people outside of the industry really understand what it is, how it operates, or if it can genuinely lead to better IT performance. This study provides a methodology that bridges the gap between these macro-level elements and the actual results of IT departments by focusing on the enabling components of DevOps, such as technological and management skills, and IT culture. Moreover, this study suggests the values of a perfect DevOps organization, which have a profound impact on IT Outcomes when they are in harmony with the firm's Delivery Approach. Information technology (IT) experts with prior DevOps experience were used to compile the survey results. In all, 176 American respondents provided their information. This alignment, in turn, has a substantial impact on IT Outcomes. This study adds not only to the growing body of literature on DevOps and software delivery, which is essential to the success of any IT firm, but also to the development of important underlying theory in these areas.

References

Agarwal, R. Individual acceptance of information technologies. Framing the Domains of IT Management: Projecting the Future through the Past. Cincinnati: Pinna flex Educational Resources, 2000, pp. 85-104.

Aguirre-Urreta, M., Ronkko, M. Sample Size Determination and Statistical Power Analysis in PLS Using R: An Annotated Tutorial, Communications of the Association for Information Systems, 2015, v.36, n.3, 1-10.

Ajzen, I. Attitudes, Personality, and Behavior. Chicago: Dorsey Press, 1988, 1-7.

Armstrong, J. S., & Overton, T. S. Estimating Nonresponse Bias in Mail Surveys. Journal of Marketing Research, 1977, 14(3), 396–402.

Ambrosini, V., Bowman, C., Collier, N. Dynamic capabilities: An exploration of how firms renew their resource base. British Journal of Management, 2009, v.20, n.1, pp. 9-24.

Aral, S.; Brynjolfsson, E. and Wu, DJ. Which Came First, It or Productivity? The Virtuous Cycle of Investment and Use in Enterprise Systems, 2006, pp. 1-22.

Arnheiter, E. D., Maleyeff, J. The integration of lean management and Six Sigma. The TQM Magazine, 2005, v. 17, n.1, pp. 5-18.

Avison, D. E., Myers, M.D. Information Systems and anthropology: an anthropological perspective on IT and organizational culture. Information Technology & People, 1995, v. 8, n.3, pp. 43-56.

Awad, M. A Comparison between Agile and Traditional Software Development Methodologies. University of Western Australia, School of Computer Science and software Engineering, 2005, 1-10.

Bailey, K. D. Methods of Social Science Research, New York: The Free Press, 1978, 1-7.

Bagozzi, R. P., & Yi, Y. On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 1988, v. 16 n.1, pp. 74–94.

Baker, J., Jones, D. R., Cao, Q., Song, J. Conceptualizing the Dynamic Strategic Alignment Competency. Journal of the Association for Information Systems, 2011, v.12, n.4, pp. 299-322.

Banker, R. D., Hu, N., Pavlou, P. A., Luftman, J. A Balanced Scorecard Analysis of Performance Metrics, European Journal of Operational Research, 2011, v.154, n. 2, pp. 423-436.

Bansal, P. From Issues to Actions: The Importance of Individual Concerns and Organizational Values in Responding to Natural Environment Issues, Organization Science, 2003, v.14, n.5, pp. 510-527.

Barclay, D., Higgins, C., and Thomson, R. The Partial Least Squares Approach to Causal Modeling, 1995.

Barker, C. Why 2016 is going to be the year of DevOps. Available at: http://www.zdnet.com/article/why-2016-is-going-to-be-the-year-of-devops/, 2015, 1-5

Barney, J. Organizational Culture: Can it be a Source of Sustained Competitive Advantage? The Academy of Management Review, 1986, v. 11, n.3, pp. 656-665.

Barki, H., Hartwick, J. Interpersonal Conflict and Its management in Information Systems Development. MIS Quarterly, 2001, v. 25, n.2, pp. 195-228.

Beck, K., et al. Manifesto for Agile Software Development. URL: http://www.agilemanifesto.org/, 2001, 1-7.

Becker, J.M., Klein, K., Wetzels, M. Hierarquical Latent Variable Models in P LS-SEM, Guidelines for Using Reflective-Formative Type Models. Long Range Planning, 2012, v.45, pp. 359-394.

Bharadwaj, A.S. A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation. MIS Quarterly, 2000, v.24, n.1, pp.169-196.

Bourdieu, P. Le Sens Commun: La Distinction Critique Sociale Du Jugement, Les Editions de Minuit, Paris, 1979, 1-10.

Bresnahan, Timothy; Brynjolfsson, Erik and Hitt, Lorin M. Information Technology, Workplace Organization and the Demand for Skilled Labor: Firm- Level Evidence. Quarterly Journal of Economics, 2002, v. 111, n. 1, pp. 339-76.

Brown, C.V., Magill, S.L. Alignment of the IS functions with the enterprise: towards a model of antecedents. MIS Quarterly, 1994, v. 18(4), pp. 371-403.

Brynjolfsson, E., Hitt, L.M. Computing Productivity: Firm-Level Evidence. Review of economics and statistics, 2003, v. 85, n.4, pp. 793-808.

Downloads

Published

28-02-2024

How to Cite

1.
Bhardwaj AK, Rangineni S. Gaining an Understanding of DevOps from its Enablers to Its Impact on Performance. EAI Endorsed Scal Inf Syst [Internet]. 2024 Feb. 28 [cited 2024 Dec. 22];11(4). Available from: https://publications.eai.eu/index.php/sis/article/view/5228