The “Blame-Blame” Syndrome from a Systemic Perspective and Its Implications for Problem Solving in a Company

Jorge Iván Pérez-Rave | Bio
Grupo de Investigación IDINNOV
Favián González Echavarría | Bio
Departamento de ingeniería industrial, Universidad de Antioquia

Abstract

The objectives of the study are: to explore systemic structures of the “blame-blame” syndrome in a company, to describe methodologically a playful tool that helps to recognize and mitigate it, and to discuss its implications for causing analysis and problem solving. The ludic exposition includes case description, work team and location, observation scenarios (with and without blaming) and deployment in three test groups. Results are compared for both scenarios and causes of defective orders; percentage of defects and productivity are analyzed. Play can be used by teachers, consultants and trainers in general to confront learners in a simulated environment with and without the syndrome. It makes it easier to systemically reflect on the subject, to identify its signals and intervene before carrying out the cause analysis. This work provides theoretical and empirical elements about the benefits of eradicating the “blame-blame” syndrome in cause analysis, and proposes to consider it as a contingent factor in future studies.

References

  1. [1] R. McLean, J. Antony y J. Dahlgaard, “Failure of Continuous Improvement initiatives in manufacturing environments: a systematic review of the evidence,” Total Quality Management and Business Excellence, vol. 28, N.°3-4, pp. 219-237, 2017.

  2. [2] J. Bessant, S. Caffyn, J. Gilbert, R. Harding y S. Webb. “Rediscovering continuous improvement,” Technovation, vol. 14, N.°1, pp. 17-29, 1994.

  3. [3] R. Subramanian, “Soft-skills training and cultural sensitization of Indian BPO workers: A qualitative study,” Communications of the IIMA, vol. 5, N.°2, pp. 11-24, 2015.

  4. [4] A. Escrig-Tena, M. Segarra-Ciprés, B. García-Juan y I. Beltrán-Martín, “The impact of hard and soft quality management and proactive behaviour in determining innovation performance,” International Journal of Production Economics, N.° 200, pp. 1-14, 2018.

  5. [5] L. Donaldson, The contingency theory of organizations, Londres: Sage Publications, 2001.

  6. [6] J. Baron y D. Kreps, “Consistent human resource practices,” California Management Review, vol. 41, N.° 3, pp. 29-53, 1999.

  7. [7] J. Reason, J. Carthey y M. De Leval, “Diagnosing vulnerable system syndrome: an essential prerequisite to effective risk management,” Quality in Healt Care, vol. 10, N.° 2, pp. 21-25, 2001.

  8. [8] P. Senge, La quinta disciplina. El arte y la práctica de la organización abierta al aprendizaje, Ciudad de México: Naucalpan, 1998.

  9. [9] C. Argyris, “Teaching smart people how to learn,” Harvard Business Review, vol. 69, N.° 3, pp. 5-15, 1991.

  10. [10] R. Lamming, “Squaring lean supply with supply chain management,” International Journal of Operations & Production Management, vol. 16, N.°2, pp. 183-196, 1996.

  11. [11] L. Leape, “Human factors meets health care: The ultimate challenge,” Ergonomics in Design, vol. 12, N.°3, pp. 6-12, 2004.

  12. [12] S. New, M. et al., “Lean participative process improvement: outcomes and obstacles in trauma orthopaedics,” PloS one, vol. 11, N.°4, pp. 1-13, 2016.

  13. [13] P. Castka, C. Bamber y J. Sharp, “Measuring teamwork culture: the use of a modified EFQM model,” Journal of management development, vol. 22, N.° 2, pp. 149-170, 2003.

  14. [14] C. Mercado, E. Bayugo, Z. Leynes, C. Lontok, D. Medilla y J. Manongsong, “Accounting Students’ Learning Satisfaction of Professional Subjects as Basis for Continuous Improvement,” Asia Pacific Journal of Education, Arts and Sciences, vol. 3, N.°1, pp. 99-109, 2016.

  15. [15] F. Yalçin, “A new method in education: Lean,” Electronic Turkish Studies, vol. 12, N.°6, pp. 811-826, 2017.

  16. [16] I. Lynch, P. Roberts, J. Keebler, O. Guttman y P. Greilich Error, “Detection and Reporting in the Intensive Care Unit: Progress, Barriers, and Future Direction,” Current Anesthesiology Reports, vol. 7, N.°3, pp. 310-319, 2017.

  17. [17] J. Pérez-Rave. El legado de Robert: Novela de ingeniería para el mejoramiento empresarial, Medellín: Idinnov, 2015.

  18. [18] J. Sexton, E. Thomas y R. Helmreich, “Error, stress, and teamwork in medicine and aviation: cross sectional surveys,” Brit Med J., N.°320, pp. 745–749, 2000.

  19. [19] D. Pérez-Arrieta. Modelo de análisis basado en el mejoramiento continuo para reducir la base de la pirámide de la seguridad: actos y condiciones inseguras y con esto el número de ocurrencias anormales de seguridad, medio ambiente y salud, Tesis de pregrado, Universidad de la Sabana, Bogotá, [En línea], acceso 05 de junio, 2017; Disponible: https://goo.gl/6i0ZPC

  20. [20] M. Hernández. Proceso de investigación de accidentes laborales, estudio de resultados, verificación de la calidad de informes disponibles en la Asociación Chilena de Seguridad y definición de modelo de análisis de incidentes y procesos. Asociación Chilena de Seguridad ACHS, junio de 2010. [En línea], acceso 04 de junio, 2010; Disponible: http://www.fiso-web.org/Content/files/proyectos-premio-fiso/1170.doc

  21. [21] P. Ruiz, C. González y J. Alcalde, “Análisis de causas raíz. Una herramienta útil para la prevención de errores,” Revista de Calidad Asistencial, vol. 20, N.°2, pp. 71-79, 2005.

  22. [22] J. Port, “Comprendiendo la variación. Análisis de causa para poner en práctica medidas correctivas,” Quality Progress, [En línea], acceso 04 de junio, 2017; Disponible: http://asq.org/quality-progress/2012/03/back-to-basics/volviendo-a-los-fundamentos-comprendiendola-variaci.html

  23. [23] A. Vainikka y M. Young-Scholten, “Direct access to X’-theory: evidence from Korean and Turkish adults learning German,” Language acquisition studies in generative grammar, vol. 31, N.°4, 71-89, 1994.

  24. [24] P. Whithaker, Cómo gestionar el cambio en contextos educativos, Madrid: Narcea, 2005.

  25. [25] G. Kanji, “Implementation and pitfalls of total quality management,” Total Quality Management, vol. 7, N.°3, pp. 331-343, 1996.

  26. [26] I. Alsyouf, U, Kumar, L. Al-Ashi y M. Al-Hammadi, "Improving baggage flow in the baggage handling system at a UAE-based airline using lean Six Sigma tools", Quality Engineering, vol. 30, N.° 3, pp, 432-452, 2018.

  27. [27] L. Martin, K. Donohoe y D. Holdford, “Decision-Making and Problem-Solving Approaches in Pharmacy Education,” American journal of pharmaceutical education, vol. 80, N.°3, pp.1-6, 2016.

  28. [28] K. Łyp-Wrońska, “World Class Manufacturing methodology as an example of problems solution in Quality Management System,” Key Engineering Materials, vol. 682, pp. 342-349, 2016.

  29. [29] C. Milner y B. Savage, “Modeling continuous improvement evolution in the service sector: A comparative case study,” International Journal of Quality and Service Sciences, vol. 8, N.°3, pp. 438-460, 2016.

  30. [30] A. Camarillo, “Support to Continuous Improvement Process in Manufacturing Plants of Multinational Companies through Problem Solving Methods and Case-Based Reasoning Integrated within a Product Lifecycle Management Infrastructure,” ICCBR, (Cuadernos de trabajo), pp. 259-261, 2015.

How to Cite
Pérez-Rave, J. I., & González Echavarría, F. (2018). The “Blame-Blame” Syndrome from a Systemic Perspective and Its Implications for Problem Solving in a Company. Revista Ingenierías Universidad De Medellín, 17(33), 187-205. https://doi.org/10.22395/rium.v17n33a10

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