International Journal of Information Engineering and Electronic Business(IJIEEB)

ISSN: 2074-9023 (Print), ISSN: 2074-9031 (Online)

Published By: MECS Press

IJIEEB Vol.10, No.3, May. 2018

IT Innovation and Firm’s Sustainable Performance: The Intermediary Role of Organizational Agility – An Empirical Study

Full Text (PDF, 642KB), PP.1-7

Views:95   Downloads:6


Mohamed Amine Marhraoui, Abdellah El Manouar

Index Terms

IT innovation;organizational agility;economic performance;social performance; environmental performance


Both small and large companies are facing tough competition in today’s rapidly changing environment. They should be able to adapt continuously to these changes and to exploit them as opportunities of development. Firms should then innovate in order to gain sustainable advantage, by proposing adequate products and services allowing them to increase market shares and sustain their growth. Disruptive technologies are thus adopted in order to conceive innovative products, to develop a new use of existing products/services or to optimize processes. In this article, we describe our theoretical framework and its main constructs. It presents the direct effect of information technology innovation on economic, social and environmental performance. Moreover, our proposed framework focuses on the intermediary role of organizational agility. In addition, the main findings of our quantitative study based on the analysis of survey data from 103 participants are highlighted. After verifying the validity and reliability of our questionnaire results, the framework’s hypotheses are tested using partial least squares path modeling method. 

Cite This Paper

Mohamed Amine Marhraoui, Abdellah El Manouar," IT Innovation and Firm’s Sustainable Performance: The Intermediary Role of Organizational Agility – An Empirical Study", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.10, No.3, pp. 1-7, 2018. DOI: 10.5815/ijieeb.2018.03.01


[1]B. Chakravorti, “How Companies Can Champion Sustainable Development.” Harvard Business Review. March 14, 2017.

[2]M. A. Marhraoui and A. El Manouar, “IT innovation and firm's sustainable performance: The mediating role of organizational agility.” In the 9th International Conference on Information Management and Engineering (ICIME 2017), in press.

[3]C.  Mouchot, Méthodologie économique. Seuil, 2003. 

[4]I. Wladawsky-Berger, “IT-based Innovation in the 21st Century” Stanford EE Computer Systems Colloquium, 2007.

[5]A. Y. Obeng and P. L. Mkhize, “Impact of IS Strategy and Technological Innovation Strategic Alignment on Firm Performance” International Journal of Information Technology and Computer Science(IJITCS), vol. 9, No. 8, 2017, pp.68-84. DOI: 10.5815/ijitcs.2017.08.08

[6]Y. Y., Yusuf, M. Sarhadi, and A., Gunasekaran, “Agile Manufacturing:: The Drivers, Concepts and Attributes.” International Journal of Production Economics, vol. 62, No. 1–2,  1999, pp. 33-43.

[7]GRI (Global Reporting Initiative), Sustainability reporting guidelines,, 2002.

[8]D., Tank, M., “Enable better and timelier decision-making using real-time business intelligence system.” International Journal of Information Engineering and Electronic Business, vol. 7, no 1, 2015, pp. 43.

[9]M., Barrett, E., Davidson,, J., JPrabhu and S. L., Vargo, “Service Innovation in the Digital Age: Key Contributions and Future Directions.” MIS Q., vol. 39, No. 1, 2015, pp. 135–154. 

[10]J., Manyika, M., Chui, J., Bughin, R., Dobbs, P., Bisson, and A., Marrs, “Disruptive Technologies: Advances That Will Transform Life, Business, and the Global Economy” McKinsey & Company, 2017.

[11]V., Sambamurthy, “Guiding the Digital Transformation of Organizations” Tallahassee, FL: Legerity Digital Press, 2012. 

[12]A. O. Baalghusun and M. R. J. Qureshi,"A Novel Model for Cloud Based Mobile Learning System", IJIEEB, vol.6, no.6, 2014, pp.40-46. DOI: 10.5815/ijieeb.2014.06.05

[13]V. Sambamurthy,A Bharadwaj and V. Grover, “Shaping agility through digital options: reconceptualizing the role of information technology in contemporary firms” MIS Quarterly, vol. 27, No. 2, 2003, pp. 237–263.

[14]E. Overby, A. Bharadwaj, and V., Sambamurthy, “Enterprise agility and the enabling role of information technology” European Journal of Information Systems, Vol. 15, No. 2, 2006,  pp. 120-131.

[15]C. Markides “Disruptive Innovation; In need of Better Theory” The Journal of Product Innovation Management, vol. 23, 2006,  pp.19-25.

[16]K. M., Eisenhardt, and S. L., Brown “Product Development: Past Research, Present Findings, and Future Directions” The Academy of Management Review, vol. 20, No. 2, 1995, pp. 343-378.

[17]K. C., Ding “Developing a Multicriteria Approach for the Measurement of Sustainable Performance.” Building Research & Information, vol. 33, No. 1, 2005, pp. 3-16. doi:10.1080/0961321042000322618. 

[18]F. Székely, and M. Knirsch, “Responsible Leadership and Corporate Social Responsibility:: Metrics for Sustainable Performance.” European Management Journal, vol. 23, No. 6, 2005, pp. 628-47. doi:10.1016/j.emj.2005.10.009. 

[19]T., Bieker, “Sustainability Management with the Balanced Scorecard.” In Corporate sustainability : theoretical perspectives and practical approaches, edited by Ines Oehme, vol. 51, 2005, pp.121-46. München: Profil. 

[20]S., Trébucq, “Réaliser une cartographie stratégique à partir des indicateurs GRI : Indicateurs et tableaux de bord.”, Édition AFNOR, 2009, pp. 1-22.

[21]J. M., Bland, & D. G., Altman, “Statistics notes: Cronbach's alpha.”., Bmj, vol. 314, No. 7080, 1997, pp. 572.

[22]L., Guttman, “A basis for analyzing test-retest reliability.” Psychometrika, vol. 10, No. 4, 1945, pp. 255-282.

[23]W., Tang & Y., Cui “A Simulation Study for Comparing Three Lower Bounds to Reliability.” Available online at: 2012/AERA paper_2012.pdf,  2012. 

[24]C.A., Cerny, & H.F.,  Kaiser, “A study of a measure of sampling adequacy for factor-analytic correlation matrices.” Multivariate Behavioral Research, vol. 12, No. 1, 1977. pp. 43-47.

[25]M. S., Bartlett, "Properties of sufficiency and statistical tests". Proceedings of the Royal Statistical Society, Series A 160, 1937. pp. 268–282 JSTOR:96803.

[26]R. J. Fox., "Confirmatory factor analysis". John Wiley & Sons, Ltd, 1983.

[27]M. T., Ullman, “The Declarative/procedural Model of Lexicon and Grammar.” Journal of Psycholinguistic Research, vol. 30, No. 1, 2001, pp. 37-69.

[28]DW, Kaplan,  “Structural Equation Modeling: Foundations and Extensions” Thousand Oaks, CA: Sage Publications, Inc, 2000.. 

[29]K. J., Klein, F., Dansereau, & R. J., Hall, “Levels issues in theory development, data collection, and analysis” Academy of Management Review, vol. 19, 2004,  pp.195 – 229.

[30]L. R. Tucker, and L. Charles, “A Reliability Coefficient for Maximum Likelihood Factor Analysis.” Psychometrika, vol. 38, No. 1, 1973, pp. 1–10.

[31]H. Wold, “Partial least squares.” Encyclopedia of statistical sciences,1985.

[32]J. Henseler, C. Ringle and R. Sinkovics, “The use of partial least squares path modeling in international marketing.” In : New challenges to international marketing. Emerald Group Publishing Limited, 2009. pp. 277-319.

[33]C. M. Ringle,., M. Sarstedt, R. Schlittgen et al. PLS “Path modeling and evolutionary segmentation.” Journal of Business Research, vol. 66, No. 9, 2013, pp. 1318-1324.