Skip to main content

Dimensions of Agility Capabilities Organizational Competitiveness in Sustaining

  • Conference paper
  • First Online:
Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) (AICV 2020)

Abstract

The uncertain global changes in the market industry that can unfold potential opportunities and risk it became vital for organizations to be agile to sustain its market position and be able to face challenges and maintain the success journey ultimately. Accordingly, it’s essential to explore organizational agility capabilities as enablers to maintain organizational competitiveness. Flexibility, learning, speed, innovation, and strategy were addressed as the primary organizational capabilities to be considered for successful sustainable organizational competitiveness. The paper also identified relevant theoretical framework linked to the address capability including Organizational Change Theory by Lewin, Organizational Change Model by Kotter, Organizational Learning Theory by Oslen & March and Theory of Dynamic Capabilities by Teece was it discussed how those capabilities are linked. Moreover, the paper addressed a case study on the impact of Deep Learning on Organizational Agility Lastly; the paper is concluded by the illustration of findings, gaps, and suggestions for future research.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Pantouvakis, A., Bouranta, N.: Agility, organisational learning culture and relationship quality in the port sector. Total Qual. Manag. Bus. Excell. 28(3–4), 366–378 (2017)

    Google Scholar 

  2. Eltawy, N., Gallear, D.: Leanness and agility: a comparative theoretical view. Ind. Manag. Data Syst. 117(1), 149–165 (2017)

    Google Scholar 

  3. Pantouvakis, A., Dimas, A.: The role of corporate agility and perceived price on the service quality–customer satisfaction link: some preliminary evidence from the port industry. Int. J. Shipp. Transp. Logist. 5(4–5), 412–431 (2013)

    Google Scholar 

  4. Prince, J., Kay, J.M.: Combining lean and agile characteristics: creation of virtual groups by enhanced production flow analysis. Int. J. Prod. Econ. 85(3), 305–318 (2003)

    Google Scholar 

  5. Appelbaum, S.H., Calla, R., Desautels, D., Hasan, L.: The challenges of organizational agility (Part 1). Ind. Commer. Train. 49(1), 6–14 (2017)

    Google Scholar 

  6. Kidd, P.T.: Agile manufacturing: a strategy for the 21st century (1995)

    Google Scholar 

  7. Christopher, M.: The agile supply chain: competing in volatile markets. Ind. Mark. Manag. 29(1), 37–44 (2000)

    Google Scholar 

  8. Stigler, G.: Production and distribution in the short run. J. Polit. Econ. 47(3), 305–327 (1939)

    Google Scholar 

  9. Teece, D., Peteraf, M., Leih, S.: Dynamic capabilities and organizational agility: risk, uncertainty, and strategy in the innovation economy. Calif. Manage. Rev. 58(4), 13–35 (2016)

    Google Scholar 

  10. Fayezi, S., Zutshi, A., O’Loughlin, A.: Understanding and development of supply chain agility and flexibility: a structured literature review. Int. J. Manag. Rev. 19(4), 379–407 (2017)

    Google Scholar 

  11. Bernardes, E.S., Hanna, M.D.: A theoretical review of flexibility, agility and responsiveness in the operations management literature: toward a conceptual definition of customer responsiveness. Int. J. Oper. Prod. Manag. 29(1), 30–53 (2009)

    Google Scholar 

  12. Backhouse, C.J., Burns, N.D.: Agile value chains for manufacturing–implications for performance measures. Int. J. Agil. Manag. Syst. 1(2), 76–82 (1999)

    Google Scholar 

  13. Flynn, B.B., Sakakibara, S., Schroeder, R.G., Bates, K.A., Flynn, E.J.: Empirical research methods in operations management. J. Oper. Manag. 9(2), 250–284 (1990)

    Google Scholar 

  14. Marlow, P.B., Casaca, A.C.P.: Measuring lean ports performance. Int. J. Transp. Manag. 1(4), 189–202 (2003)

    Google Scholar 

  15. Katayama, H., Bennett, D.: Agility, adaptability and leanness: a comparison of concepts and a study of practice. Int. J. Prod. Econ. 60, 43–51 (1999)

    Google Scholar 

  16. DeRue, D.S., Ashford, S.J., Myers, C.G.: Learning agility: in search of conceptual clarity and theoretical grounding. Ind. Organ. Psychol. 5(3), 258–279 (2012)

    Google Scholar 

  17. Arun, N., Coyle, P.T., Hauenstein, N.: Learning agility: still searching for clarity on a confounded construct. Ind. Organ. Psychol. 5(3), 290–293 (2012)

    Google Scholar 

  18. Sharp, J.M., Irani, Z., Desai, S.: Working towards agile manufacturing in the UK industry. Int. J. Prod. Econ. 62(1–2), 155–169 (1999)

    Google Scholar 

  19. Alavi, S., Abd. Wahab, D., Muhamad, N., Arbab Shirani, B.: Organic structure and organisational learning as the main antecedents of workforce agility. Int. J. Prod. Res. 52(21), 6273–6295 (2014)

    Google Scholar 

  20. Pereira, V., Mellahi, K., Temouri, Y., Patnaik, S., Roohanifar, M.: Investigating dynamic capabilities, agility and knowledge management within EMNEs-longitudinal evidence from Europe. J. Knowl. Manag. 23, 1708–1728 (2018)

    Google Scholar 

  21. Park, Y., El Sawy, O.A., Fiss, P.: The role of business intelligence and communication technologies in organizational agility: a configurational approach. J. Assoc. Inf. Syst. 18(9), 1 (2017)

    Google Scholar 

  22. Carmeli, A., Dothan, A.: Generative work relationships as a source of direct and indirect learning from experiences of failure: implications for innovation agility and product innovation. Technol. Forecast. Soc. Change 119, 27–38 (2017)

    Google Scholar 

  23. Battistella, C., De Toni, A.F., De Zan, G., Pessot, E.: Cultivating business model agility through focused capabilities: a multiple case study. J. Bus. Res. 73, 65–82 (2017)

    Google Scholar 

  24. Kosonen, M., Doz, Y.: Fast Strategy: How Strategic Agility Will Help You Stay Ahead of the Game. Pearson Education, London (2007)

    Google Scholar 

  25. Alon, I., Madanoglu, M., Shoham, A.: Strategic agility explanations for managing franchising expansion during economic cycles. Compet. Rev. Int. Bus. J. 27(2), 113–131 (2017)

    Google Scholar 

  26. e Cunha, M.P., Gomes, E., Mellahi, K., Miner, A.S., Rego, A.: Strategic agility through improvisational capabilities: implications for a paradox-sensitive HRM. Hum. Resour. Manag. Rev. 30(1), 100695 (2020)

    Google Scholar 

  27. Porter, M.E.: Competitive advantage, agglomeration economies, and regional policy. Int. Reg. Sci. Rev. 19(1–2), 85–90 (1996)

    Google Scholar 

  28. Grant, R.M.: Porter’s ‘competitive advantage of nations’: an assessment. Strateg. Manag. J. 12(7), 535–548 (1991)

    Google Scholar 

  29. Dobbin, F., Baum, J.A.C.: Introduction: economics meets sociology in strategic management. In: Baum, J., Dobbin, F. (eds.) Economics Meets Sociology in Strategic Management, pp. 1–26. Emerald Group Publishing Limited, Bingley (2000)

    Google Scholar 

  30. Oliver, C.: Sustainable competitive advantage: combining institutional and resource-based views. Strateg. Manag. J. 18(9), 697–713 (1997)

    Google Scholar 

  31. Shirey, M.R.: Lewin’s theory of planned change as a strategic resource. JONA J. Nurs. Adm. 43(2), 69–72 (2013)

    Google Scholar 

  32. Coghlan, D., Brannick, T.: Kurt Lewin: the “practical theorist” for the 21st century. Irish J. Manag. 24(2), 31 (2003)

    Google Scholar 

  33. Appelbaum, S.H., Habashy, S., Malo, J.-L., Shafiq, H.: Back to the future: revisiting Kotter’s 1996 change model. J. Manag. Dev. 31(8), 764–782 (2012)

    Google Scholar 

  34. March, J.G., Olsen, J.P.: The uncertainty of the past: organizational learning under ambiguity. Eur. J. Polit. Res. 3(2), 147–171 (1975)

    Google Scholar 

  35. Mouritsen, J.: Rationality, institutions and decision making: reflections on March and Olsen’s rediscovering institutions. Account. Organ. Soc. 19(2), 193–211 (1994)

    Google Scholar 

  36. Teece, D.J., Pisano, G., Shuen, A.: Dynamic capabilities and strategic management. Strateg. Manag. J. 18(7), 509–533 (1997)

    Google Scholar 

  37. Teece, D.J.: A dynamic capabilities-based entrepreneurial theory of the multinational enterprise. J. Int. Bus. Stud. 45(1), 8–37 (2014)

    Google Scholar 

  38. Teece, D.J.: Dynamic capabilities as (workable) management systems theory. J. Manag. Organ. 24(3), 359–368 (2018)

    Google Scholar 

  39. van de Wetering, R., Mikalef, P., Helms, R.: Driving organizational sustainability-oriented innovation capabilities: a complex adaptive systems perspective. Curr. Opin. Environ. Sustain. 28, 71–79 (2017)

    Google Scholar 

  40. Pérez-Moreno, S., Rodríguez, B., Luque, M.: Assessing global competitiveness under multi-criteria perspective. Econ. Model. 53, 398–408 (2016)

    Google Scholar 

  41. Our Mission, World Economic Forum. https://www.weforum.org/about/world-economic-forum

  42. Biermann, F., Kanie, N., Kim, R.E.: Global governance by goal-setting: the novel approach of the UN sustainable development goals. Curr. Opin. Environ. Sustain. 26, 26–31 (2017)

    Google Scholar 

  43. Al-Emran, M., Arpaci, I., Salloum, S.A.: An empirical examination of continuous intention to use m-learning: an integrated model. Educ. Inf. Technol. 1–20 (2020)

    Google Scholar 

  44. Alhashmi, S.F.S., Salloum, S.A., Mhamdi, C.: Implementing artificial intelligence in the United Arab Emirates healthcare sector: an extended technology acceptance model. Int. J. Inf. Technol. Lang. Stud. 3(3), 27–42 (2019)

    Google Scholar 

  45. Alghizzawi, M., Habes, M., Salloum, S.A., Ghani, M.A., Mhamdi, C., Shaalan, K.: The effect of social media usage on students’ e-learning acceptance in higher education: a case study from the United Arab Emirates. Int. J. Inf. Technol. Lang. Stud. 3(3), 13–26 (2019)

    Google Scholar 

  46. Alomari, K.M., AlHamad, A.Q., Salloum, S.: Prediction of the digital game rating systems based on the ESRB. Opción 35(19), 1368–1393 (2019)

    Google Scholar 

  47. Salloum, S.A., Alhamad, A.Q.M., Al-Emran, M., Monem, A.A., Shaalan, K.: Exploring students’ acceptance of e-learning through the development of a comprehensive technology acceptance model. IEEE Access 7, 128445–128462 (2019)

    Google Scholar 

  48. Alhashmi, S.F.S., Salloum, S.A., Abdallah, S.: Critical success factors for implementing artificial intelligence (AI) projects in Dubai Government United Arab Emirates (UAE) health sector: applying the extended technology acceptance model (TAM). In: International Conference on Advanced Intelligent Systems and Informatics, pp. 393–405 (2019)

    Google Scholar 

  49. Wang, H., Huang, J., Zhang, Z.: The Impact of Deep Learning on Organizational Agility (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Said A. Salloum .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zainal, A.Y., Yousuf, H., Salloum, S.A. (2020). Dimensions of Agility Capabilities Organizational Competitiveness in Sustaining. In: Hassanien, AE., Azar, A., Gaber, T., Oliva, D., Tolba, F. (eds) Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020). AICV 2020. Advances in Intelligent Systems and Computing, vol 1153. Springer, Cham. https://doi.org/10.1007/978-3-030-44289-7_71

Download citation

Publish with us

Policies and ethics