Psychometric Evaluation of BRT-13B: A Shorter Version of the Benchmark Resilience Tool

Authors

  •   Shikha Sharma Research Scholar, University Business School, Arts Block III, Sector-14, Panjab University, Chandigarh-160 014
  •   Sanjeev K. Sharma Director, University Institute of Applied Management Sciences (UIAMS) Panjab University, Chandigarh

DOI:

https://doi.org/10.17010/pijom/2015/v8i3/61293

Keywords:

Organizational Resilience

, Benchmark Resilience Tool, Short Version, IT Executives, Psychometric Evaluation

L63

, L86, M12, M19

Paper Submission Date

, January 9, 2015, Paper sent back for Revision, February 4, Paper Acceptance Date, February 19, 2015.

Abstract

The Indian IT Industry is operating in an era of risk and instability. Success and survival in this uncertain environment demands the organizations to be resilient, which is not about responding to one time crisis. It is about continuously anticipating and adjusting to change. Research reveals that an organization having resilient people, systems, and processes can adjust to meeting the varying needs of its market with more confidence, making it essential to have an organization centric measure of resilience. Despite the growing importance of the concept, there are only few reliable and valid instruments available in the literature, and most importantly, none of the available instruments have been used to measure the resilience capacity of IT organizations. Keeping this gap in mind, this study evaluated the factor structure and psychometric properties of the recently developed, a shorter version of Benchmark Resilience Tool (BRT-13B) by considering a sample of Indian IT executives. An empirical research was conducted by considering 160 employees of 12 information technology firms located in few select states of Northern India and registered with NASSCOM. The data were collected using 13 items, BRT-13B scale. Confirmatory factor analysis verified the original two-factor structure. In this study, 75.537 % of the variance was jointly explained by the two factors (Planning and Adaptive Capacity). The results supported the dimensionality, reliability (α=0.888) and validity of the BRT-13 B instrument for measuring the IT executives' resilience.

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How to Cite

Sharma, S., & Sharma, S. K. (2015). Psychometric Evaluation of BRT-13B: A Shorter Version of the Benchmark Resilience Tool. Prabandhan: Indian Journal of Management, 8(3), 33–47. https://doi.org/10.17010/pijom/2015/v8i3/61293

Issue

Volume 8, Issue 3, 2015

Section

Organizational Management
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References

Afifi, A.A., & Azen, S.P. (1979). Statistical analysis: A computer oriented approach (2nd ed.) (pp.442-448). New York:Academic Press.

Arbuckle, J. L., & Wothke, W. (1999). Amos 4.0 User's Guide: SPSS (pp. 240-260). Chicago: Small Waters Corporation.

Bartone, P.T. (1995). A short hardiness scale. Presented at American Psychological Society Annual Convention, New York. Retrieved from http://www.hardinessresilience.com

Bartone, P. T. (2007). Test-retest reliability of the dispositional resilience scale-15, A brief hardiness scale. Psychological Reports, 101 (3), 943-944. DOI: 10.2466/pr0.101.3.943-944

Bell, M. A. (2002). The five principles of organizational resilience. Gartner Research. Retrieved from http://www.gartner.com/id=351410

Bennett, J. B., Aden, C. A., Broome, K., Mitchell, K., & Rigdon, W. D. (2010). Team resilience for young restaurant workers: Research-to-practice adaptation and assessment. Journal of Occupational Health Psychology, 15 (3), 223-226. DOI: 10.1037/a0019379

Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107 (2), 238-246. DOI: http://psycnet.apa.org/doi/10.1037/0033- 2909.107.2.238

Brand, F. S., & Jax, K. (2007). Focusing the meaning (s) of resilience: Resilience as a descriptive concept and a boundary object. Ecology and Society, 12 (1), 23-37.

Bryant, F. B., & Yarnold, P. R. (1995). Principal components analysis and exploratory and confirmatory factor analysis. In L. G. Grimm, & R R. Yarnold (Eds.), Reading and understanding multivariate statistics (1st Ed., pp. 99-136). Washington, DC: American Psychological Association.

Byrne, B. M. (2013). Structural equation modeling with AMOS: Basic concepts, applications, and programming ( 2nd ed., pp.1-127). New York: Routledge.

Churchill, Jr., G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16 (1), 64-73.

Connor, K. M., & Davidson, J. R. (2003). Development of a new resilience scale: The Connor-Davidson resilience scale (CD-RISC). Depression and Anxiety, 18 (2), 76-82.

Dalziell, E. P., & McManus, S. T. (2004). Resilience, vulnerability, and adaptive capacity: Implications for system performance. Proceedings of the International Forum for Engineering Decision Making (IFED), Stoos. Switzerland. Retrieved from http://ir.canterbury.ac.nz/bitstream/10092/2809/1/12593870_ResOrgs_IFED_dec04_EDSM.pdf

Department of Industrial Policy and Promotion (DIPP), Government of India. (2014). FDI statistics. Available on http://dipp.nic.in/English/Publications/FDI_Statistics/FDI_Statistics.aspx

Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4 (3), 272-299. DOI: http://psycnet.apa.org/doi/10.1037/1082-989X.4.3.272

Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed., pp.665-719). London: Sage Publications.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18 (1), 39-50.

Friborg, O., Barlaug, D., Martinussen, M., Rosenvinge, J. H., & Hjemdal, O. (2005). Resilience in relation to personality and intelligence. International Journal of Methods in Psychiatric Research, 14 (1), 29-42. DOI: 10.1002/mpr.15

Garson, D. G. (2008). Factor analysis: Statnotes. North Carolina State University Public Administration Program. Retrieved from http://www2.chass.ncsu.edu/garson/pa765/factor.htm

Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate data analysis (7th ed., pp.125-857). Upper Saddle River, NJ: Pearson Prentice Hall.

Hamel , G., & Valikangas, L. (2003). The quest for resilience. Harvard Business Review, 81 (9), 52-63.

Holling, C. S. (1973) Resilience and stability of ecological systems. Annual Review of Ecology and Systematics, 4 (1), 1-23. DOI: 10.1146/annurev.es.04.110173.000245

Hu, L. T., & Bentler, P. M. (1995). Evaluating model fit. In R. H. Hoyle (Ed.), Structural equation modelling: Concepts , issues and applications (1st ed., pp: 76-99). Thousand Oaks, CA: Sage.

India Brand Equity Foundation (IBEF). (2013, December). Indian IT and ITes industry analysis. Retrieved from http://www.ibef.org/industry/information-technologyindia.aspx

Jöreskog, K. G., & Sörbom, D. (1988). LISREL 7: A guide to the program and applications. Chicago: SPSS.

Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39 (1), 31-36. DOI: 10.1007/BF02291575

Kline, R. B. (1998). Principles and practice of structural equation modeling (3rd ed., pp.230-298). New York: Guilford.

Lengnick-Hall, C.A. & Beck, T. E. (2005). Adaptive fit versus robust transformation: How organizations respond to environmental change. Journal of Management, 31 (5), 738- 757. DOI: 10.1177/0149206305279367

Leykin, D., Lahad, M., Cohen, O., Goldberg, A., & Aharonson-Daniel, L. (2013). Conjoint community resiliency assessment measure-28/10 items (CCRAM28 and CCRAM10): A self-report tool for assessing community resilience. American Journal of Community Psychology, 52 (3-4), 313-323. DOI: 10.1007/s10464-013-9596-0

Luthans, F. (2002). The need for and meaning of positive organizational behavior. Journal of Organizational Behavior, 23 (6), 695-706. DOI: 10.1002/job.165

Luthans, F., Luthans, K. W., & Luthans, B. C. (2004). Positive psychological capital: Beyond human and social capital. Business Horizons, 47(1), 45-50.

Luthans, F., Youssef, C. M., & Avolio, B. J. (2007). Psychological capital: Investing and developing positive organizational behavior. In D. Nelson & C.L. Cooper (Eds.), Positive organizational behavior (pp.9-24). Thousand Oaks, CA: Sage .

Masten, A.S., & Reed, M.G. (2002). Resilience in development. In C.R. Snyder & S.J. Lopez (Eds.), The handbook of positive psychology (2nd ed., pp. 74-88). New York: Oxford University Press.

McManus, S. (2008). Organizational resilience in New Zealand (Ph.D. Thesis). University of Canterbury, Christchurch, New Zealand.

Nash, W. A. (1998). Schaum's outline of theory and problems of strength of materials (pp. 1-19). New York: McGraw- Hill.

NASSCOM. (2014). The IT-BPM sector in India - strategic review 2014. Retrieved from http://www.nasscom.in/positive-outlook-itbpm-industry-fy-2014.

NASSCOM. (n.d.). Member directory. Retrieved from http://memberdirectory.nasscom.in/MemberCompanyFreeSearch

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed., pp.248-292). New York: McGraw-Hill.

Parsons, D. (2007). National organizational resilience framework workshop: The outcomes. In National Organizational Resilience Framework Workshop (p. 15), 5-7th December 2007, Mt. Macedon, Victoria, Australia .

Seville, E., Brunsdon, D., Dantas, A., Le Masurier, J., Wilkinson, S., & Vargo, J. (2008). Organisational resilience: Researching the Reality of New Zealand organizations. Journal of Business Continuity & Emergency Planning, 2 (2), 258-266.

Sixbey, M. T. (2005). Development of the family resilience assessment scale to identify family resilience constructs (Doctoral Dissertation). University of Florida, Florida.

Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., & Bernard, J. (2008). The brief resilience scale: Assessing the ability to bounce back. International Journal of Behavioral Medicine, 15 (3), 194-200. DOI: 10.1080/10705500802222972

Stephenson, A., Vargo, J., & Seville, E. (2010). Measuring and comparing organizational resilience in Auckland. The Australian Journal of Emergency Management, 25 (2), 27-32.

Stephenson, A.V. (2010). Benchmarking the resilience of organizations (PhD Thesis). University of Canterbury, New Zealand.

Stevens, J. P. (2012). Applied multivariate statistics for the social sciences (5th ed., pp.325-394). New York: Routledge.

Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics. Retrieved from http://tocs.ulb.tu-darmstadt.de/135813948.pdf

Wagnild, G. M., & Young, H. M. (1993). Development and psychometric evaluation of the resilience scale. Journal of Nursing Measurement,1 (2), 165-178.

Whitman, Z. R., Kachali, H., Roger, D., Vargo, J., & Seville, E. (2013). Short-form Version of the benchmark resilience tool (BRT-53). Measuring Business Excellence, 17(3), 3-14. DOI: http://dx.doi.org/10.1108/MBE-05-2012-0030

Winwood, P. C., Colon, R., & McEwen, K. (2013). A practical measure of workplace resilience: Developing the resilience at work scale. Journal of Occupational and Environmental Medicine, 55(10), 1205-1212.