Organizational Adaptive Responses to External Pressures: Employee Perceptions in QMS and Non-QMS Organizations
DOI:
https://doi.org/10.61492/baashima.v4i1.484Keywords:
External Pressure, Organizational Adaptive Response, Employee Perception, Quality Management System, non-QMS OrganizationAbstract
This study examines differences in employee perceptions of organizational adaptive responses to external pressures between organizations with and without formal quality management systems (QMS). A quantitative comparative cross-sectional design was employed. Data were collected from 211 employees across QMS and non-QMS organizations in Indonesia using a 26-item closed questionnaire on a five-point Likert scale and analyzed via independent-samples t-tests. Four hypotheses were tested across regulatory, industry, customer pressure, and internal process adjustment dimensions. All four hypotheses were statistically supported (p < 0,001). QMS organizations consistently recorded higher mean scores, with the largest aggregate gap on regulatory pressure (Δ = 0.87) and the smallest on industry pressure (Δ = 0.27). Item-level analysis revealed that readiness for government inspection (TR5) produced the largest gap across all 26 items (Δ = 1.14), while two items, competitive pressure (TI3) and customer-related rule adjustment (RA4), showed negative gaps where non-QMS organizations scored marginally higher. This study extends open systems and institutional perspectives by demonstrating that QMS influences adaptive responses differently across pressure dimensions. The identification of negative-gap anomalies challenges linear assumptions in adaptation theory, suggesting that formal systems may trade consistency for flexibility in specific operational contexts. This study examines differences in employees' perceptions of an organization's adaptive response to external pressures between organizations that have and do not have a formal quality management system (QMS).
References
Alič, M. (2014). Impact of ISO 9001 certification cancellation on business performance: a case study in Slovenian organisations. Total Quality Management & Business Excellence, 25(7–8), 790–811.
Bakhtiar, A., Nugraha, A., Suliantoro, H., & Pujotomo, D. (2023). The effect of quality management system (ISO 9001) on operational performance of various organizations in Indonesia. Cogent Business & Management, 10(2). https://doi.org/10.1080/23311975.2023.2203304
Boiral, O. (2012). ISO 9000 and Organizational Effectiveness: A Systematic Review. Quality Management Journal, 19(3), 16–37. https://doi.org/10.1080/10686967.2012.11918071
Cândido, C. J. F., & Ferreira, L. M. F. R. (2023). ISO 9001 internal decertification motivations: exploring barriers and benefits of certification as withdrawal antecedents. Production Planning and Control, 34(4), 330–344. https://doi.org/10.1080/09537287.2021.1916638
Creswell, J. W., & Creswell, J. D. (2019). Research design : qualitative, quantitative & mixed methods approaches / John W. Creswell & J. David Creswell. (5th edition.). Sage.
Delmas, M. A., & Toffel, M. W. (2008). Organizational responses to environmental demands: Opening the black box. Strategic Management Journal, 29(10), 1027–1055. https://doi.org/10.1002/smj.701
Dick, G. P., Heras, I., & Casadesús, M. (2008). Shedding light on causation between ISO 9001 and improved business performance. International Journal of Operations & Production Management, 28(7), 687-708.
https://doi.org/10.1108/01443570810881811
Field, A. (2024). Discovering statistics using IBM SPSS statistics. Sage publications limited.
Folkman, S., Lazarus, R. S., Dunkel-Schetter, C., DeLongis, A., & Gruen, R. J. (1986). Dynamics of a stressful encounter: Cognitive appraisal, coping, and encounter outcomes. Journal of Personality and Social Psychology, 50(5), 992–1003. https://doi.org/10.1037/0022-3514.50.5.992
Fonseca, L. M., & Domingues, J. P. (2017). Listen to ISO 9001: 2015 for organizational competitiveness: Correlation between change management and improvement. In Proceedings of the International Conference on Business Excellence (Vol. 11, No. 1, pp. 916-926). Sciendo.
Greenwood, R., Hinings, C. R., & Whetten, D. (2014). Rethinking institutions and organizations. Journal of Management Studies, 51(7), 1206-1220. https://doi.org/10.1111/joms.12070
Hair, J. F. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Sage.
Heras‐Saizarbitoria, I. (2011). Internalization of ISO 9000: an exploratory study. Industrial Management & Data Systems, 111(8), 1214-1237.
Katz, D., & Kahn, R. (2015). The social psychology of organizations. In Organizational behavior 2 (pp. 152-168). Routledge.
Memon, M. A., Ting, H., Cheah, J. H., Thurasamy, R., Chuah, F., & Cham, T. H. (2020). Sample size for survey research: Review and recommendations. Journal of applied structural equation modeling, 4(2), i-xx.
Moors, A., Ellsworth, P. C., Scherer, K. R., & Frijda, N. H. (2013). Appraisal theories of emotion: State of the art and future development. Emotion review, 5(2), 119-124.
Morgan, M., Okon, E. E., Amadi, C., Emu, W., & Ogar, A. (2021). Dynamic capabilities of family business: A catalyst for survival and growth. Problems and Perspectives in Management, 19(1), 137.
Nurcahyo, R., & Habiburrahman, M. (2021). Relationship between ISO 9001: 2015 and operational and business performance of manufacturing industries in a developing country (Indonesia). Heliyon, 7(1).
Oliver, C. (1991). Strategic responses to institutional processes. Academy of management review, 16(1), 145-179.
Psomas, E. L., Pantouvakis, A., & Kafetzopoulos, D. P. (2013). The impact of ISO 9001 effectiveness on the performance of service companies. Managing Service Quality: An International Journal, 23(2), 149-164.
PwC. (2023). Global Family Business Survey 2023: Transform to Build Trust. PricewaterhouseCoopers. https://www.pwc.com/gx/en/services/family-business/transform-to-build-trust.html
PwC. (2024). NextGen Survey 2024: Catalysts of Change. PricewaterhouseCoopers. https://www.pwc.com/gx/en/family-business-services/nextgen/2024/download/pwc-global-nextgen-survey-2024.pdf
Scott, W. R., & Davis, G. F. (2015). Organizations and organizing: Rational, natural and open systems perspectives. Routledge.
S. S. Shapiro, M. B. Wilk, An analysis of variance test for normality (complete samples), Biometrika, Volume 52, Issue 3-4, December 1965, Pages 591–611, https://doi.org/10.1093/biomet/52.3-4.591
Smith, C. A., & Lazarus, R. S. (1993). Appraisal components, core relational themes, and the emotions. Cognition & emotion, 7(3-4), 233-269.
Taherdoost, H. (2016). Validity and reliability of the research instrument; how to test the validation of a questionnaire/survey in a research. International journal of academic research in management (IJARM), 5.
Teece, D. J. (2020). Hand in glove: Open innovation and the dynamic capabilities framework. Strategic Management Review, 1(2), 233-253.
Zhu, Q., & Sarkis, J. (2007). The moderating effects of institutional pressures on emergent green supply chain practices and performance. International journal of production research, 45(18-19), 4333-4355.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Derwin Chandra, Bisma Jatmika Tisnasasmita, Hastuti Naibaho

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.









