Driving organisational ambidexterity through process management. The key role of cultural change

References

• Adler, P. S. (1991). Workers and flexible manufacturing systems: Three installations compared. Journal of Organizational Behaviour, 12(5), 447–460. doi: 10.1002/job.4030120508
   Web of Science ®Google Scholar
• Adler, P. S., & Borys, B. (1996). Two types of bureaucracy: Enabling and coercive. Administrative Science Quarterly, 41(1), 61–89. doi: 10.2307/2393986
   Web of Science ®Google Scholar
• Al-Khalifa, K. N., & Aspinwall, E. M. (2001). Using the competing values framework to investigate the culture of Qatar industries. Total Quality Management, 12(4), 417–428. doi: 10.1080/09544120124219
   Web of Science ®Google Scholar
• Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares (PLS) approach to causal modelling: Personal computer adoption and use as an illustration. Technology Studies, 2(2), 285–309.
   Google Scholar
• Benner, M. J., & Tushman, M. (2002). Process management and technological innovation: A longitudinal study of the photography and paint industries. Administrative Science Quarterly, 47, 676–706. doi: 10.2307/3094913
   Web of Science ®Google Scholar
• Benner, M. J., & Tushman, M. (2003). Exploitation, exploration and process management: The productivity dilemma revisited. Academy of Management Review, 28, 238–256.
   Web of Science ®Google Scholar
• Bou-Lusar, J. C., Escrig-Tena, A. B., Roca-Puig, V., & Beltrán-Martín, I. (2009). An empirical assessment of the EFQM excellence model evaluation as a TQM framework relative to the MBNQA model. Journal of Operations Management, 27, 1–22. doi: 10.1016/j.jom.2008.04.001
   Web of Science ®Google Scholar
• Carmeli, A., & Halevi, M. Y. (2009). How top management team behavioral integration and behavioural complexity enable organizational ambidexterity: The moderating role of contextual ambidexterity. The Leadership Quarterly, 20, 207–218. doi: 10.1016/j.leaqua.2009.01.011
   Web of Science ®Google Scholar
• Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research, (pp. 295–336). Mahwah, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Chin, W. W., & Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. In R. Hoyle (Ed.), Statistical strategies for small sample research, (pp. 307–341). Thousand Oaks, CA: Sage Publications.
   Google Scholar
• Cho, H., & Pucik, V. (2005). Relationship between innovativeness, quality, growth, profitability and market value. Strategic Management Journal, 26, 555–575. doi: 10.1002/smj.461
   Web of Science ®Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.), Hillsdale, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Dahlgaard-Park, S. M. (2011). The quality movement: Where are you going?. Total Quality Management & Business Excellence, 22(5), 493–516. doi: 10.1080/14783363.2011.578481
   Web of Science ®Google Scholar
• Dahlgaard-Park, S. M., & Dahlgaard, J. J. (2010). Organizational learnability and innovability: A system for assessing, diagnosing and improving innovation. International Journal of Quality and Service Sciences, 2(2), 153–174. doi: 10.1108/17566691011057339
   Google Scholar
• Dean, J. W., & Bowen, D. E. (1994). Management theory and total quality: Improving research and practice through theory development. The Academy of Management Review, Special Issue, Total Quality, 19(3), 392–418.
   Web of Science ®Google Scholar
• Dellana, S. A., & Hauser, R. D. (1999). Toward defining the quality culture. Engineering Management Journal, 11(2), 11–15.
   Google Scholar
• Denison, R. D. (1990). Corporate culture and organizational effectiveness, New York, NY: Wiley.
   Google Scholar
• Dervitsiotis, K. N. (2011). The challenge of adaptation through innovation based on the quality of the innovation process. Total Quality Management & Business Excellence, 22(5), 553–566. doi: 10.1080/14783363.2011.568256
   Web of Science ®Google Scholar
• Efron, B., & Tibshirani, R. J. (1993). An introduction to the bootstrap, New York, NY: Chapman & Hall.
   Google Scholar
• Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling, Akron, OH: The University of Akron.
   Google Scholar
• Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. doi: 10.3758/BF03193146
   PubMed Web of Science ®Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobserved variables and measurement errors. Journal of Marketing Research, 28, 39–50. doi: 10.2307/3151312
   Web of Science ®Google Scholar
• Ghoshal, S., & Bartlett, C.A. (1994). Linking organizational context and managerial action: The dimensions of quality of management. Strategic Management Journal, 15, 91–112.
   Google Scholar
• Gibson, C. B., & Birkinshaw, J. (2004). The antecedents, consequences, and mediating role of organizational ambidexterity. Academy of Management Journal, 47(2), 209–226. doi: 10.2307/20159573
   Web of Science ®Google Scholar
• Götz, O., Liehr-Gobbers, K., & Krafft, M. (2010). Evaluation of structural equation models using the partial least squares (PLS) approach. In V. V. Esposito, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of partial least squares: Concepts, methods and applications, (pp. 691–712). Berlin, Heidelberg: Springer Handbooks of Computational Statistics.
   Google Scholar
• Green, S. G., Gavin, M. B., & Aiman-Smith, L. (1995). Assessing a multidimensional measure of radical technological innovation. Engineering Management, 43(3), 203–214.
   Google Scholar
• Green, T. J. (2012). TQM and organisational culture: How do they link?. Total Quality Management & Business Excellence, 23(2), 141–157. doi: 10.1080/14783363.2012.647847
   Web of Science ®Google Scholar
• Hackman, J. R., & Wageman, R. (1995). Total quality management: Empirical, conceptual and practical issues. Administrative Science Quarterly, 40(2), 309–342. doi: 10.2307/2393640
   Web of Science ®Google Scholar
• Hair, J. F., Sarstedt, M., Pieper, T. M., & Ringle, C. M. (2012). The use of partial least squares structural equation modeling in strategic management research: A review of past practices and recommendations for future applications. Long Range Planning, 45(5–6), 320–340. doi: 10.1016/j.lrp.2012.09.008
   Web of Science ®Google Scholar
• Harari, O. (1993). The eleventh reason why TQM doesn't work. Management Review, 82(5), 31–36.
   Google Scholar
• He, Z., & Wong, P. (2004). Exploration vs. exploitation: An empirical test of the ambidexterity hypothesis. Organizational Science, 15(4), 481–494. doi: 10.1287/orsc.1040.0078
   Web of Science ®Google Scholar
• Hildebrandt, S., Kristensen, K., Kanji, G., & Dahlgaard, J. J. (1991). Quality culture and TQM. Total Quality Management, 2(1), 1–16. doi: 10.1080/09544129100000001
   Google Scholar
• Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20, 195–204. doi: 10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7
   Web of Science ®Google Scholar
• Hung, R. Y.Y., Lien, B. Y.H., Fang, S. C., & Mc Lean, G. N. (2010). Knowledge as a facilitator for enhancing innovation performance through total quality management. Total Quality Management & Business Excellence, 21(4), 425–438. doi: 10.1080/14783361003606795
   Web of Science ®Google Scholar
• Jansen, J. P., Van den Bosch, F. A.J., & Volberda, H. W. (2006). Exploratory innovation, exploitative innovation, and performance: Effects of organizational antecedents and environmental moderators. Management Science, 52(11), 1661–1674. doi: 10.1287/mnsc.1060.0576
   Web of Science ®Google Scholar
• Levinthal, D. A., & March, J. G. (1993). The myopia of learning [Special issue: Organizations, decision making and strategy]. Strategic Management Journal, , 14, 95–112
   Web of Science ®Google Scholar
• Li, G., & Rajagopalan, S. (1998). Process improvement, quality, and learning effects. Management Science, 44(11), 1517–1532. doi: 10.1287/mnsc.44.11.1517
   Web of Science ®Google Scholar
• March, J. G. (1991). Exploration and exploitation in organizational learning [Special issue: Organizational learning: Papers in honour of (and by) James G. March]. Organization Science, , 2(1), 71–87
   Web of Science ®Google Scholar
• March, J. G., & Simon, H. A. (1958). Organizations, New York, NY: Willey.
   Google Scholar
• Martensen, A., & Dahlgaard, J. J. (1999). Integrating business excellence and innovation management: Developing vision, blueprint and strategy for innovation in creative and learning organization. Total Quality Management, 10(4/5), 627–635. doi: 10.1080/0954412997613
   Google Scholar
• McAdam, R. (2004). Knowledge creation and idea generation: A critical quality perspective. Technovation, 24, 697–705. doi: 10.1016/S0166-4972(02)00169-4
   Web of Science ®Google Scholar
• Moreno-Luzon, M. D., & Valls-Pasola, J. (2011). Ambidexterity and quality management: Towards a research agenda. Management Decision, 49(6), 927–947. doi: 10.1108/00251741111143612
   Web of Science ®Google Scholar
• Nohria, N., & Gulati, R. (1996). Is slack good or bad for innovation?. The Academy of Management Journal, 39(5), 1245–1264. doi: 10.2307/256998
   Web of Science ®Google Scholar
• Nunnally, J. C. (1978). Psychometric theory (2nd ed.), New York, NY: McGraw-Hill.
   Google Scholar
• Oliveira Matias, J. C., & Alves Coelho, D. (2011). Integrated total quality management: Beyond zero defects theory and towards innovation. Total Quality Management & Business Excellence, 22(8), 891–910. doi: 10.1080/14783363.2011.593862
   Web of Science ®Google Scholar
• Prajogo, D. I., & McDermott, C. (2005). The relationship between total quality management practices and organizational culture. The International Journal of Operations & Production Management, 25(11), 1101–1122. doi: 10.1108/01443570510626916
   Web of Science ®Google Scholar
• Prajogo, D. I., & Sohal, A. S. (2001). TQM and innovation: A literature review and research framework. Technovation, 21(9), 539–558. doi: 10.1016/S0166-4972(00)00070-5
   Web of Science ®Google Scholar
• Prajogo, D. I., & Sohal, A. S. (2004). Transitioning from total quality management to total innovation management: An Australian case. The International Journal of Quality & Reliability Management, 21(8), 861–875. doi: 10.1108/02656710410551746
   Google Scholar
• Quinn, R. E. (1988). Beyond rational management: Mastering the paradoxes and competing demands of high performance, San Francisco, CA: Jossey-Bass.
   Google Scholar
• Quinn, R. E., & Rohrbaugh, J. (1983). A spatial model of effectiveness criteria: Towards a competing values approach to organizational. Analysis Management Science, 29(3), 363–377.
   Google Scholar
• Rothaermel, F.T., & Deeds, D.L. (2004). Exploration and exploitation alliances in biotechnology: A system of new product development. Strategic Management Journal, 25, 201–221.
   Google Scholar
• Samaha, H. E. (1996). Overcoming the TQM barrier to innovation. HR Magazine, 41(6), 144–148.
   Google Scholar
• Saraph, J. V., Benson, P. G., & Schoeder, R. G. (1989). An instrument for measuring the critical factors of quality management. Decision Science, 20(4), 810–829. doi: 10.1111/j.1540-5915.1989.tb01421.x
   Web of Science ®Google Scholar
• Sweeney, J.C., & Soutar, G.N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 7(2), 203–220.
   Google Scholar
• Tata, J., & Prasad, S. (1998). Cultural and structural constraints on total quality management implementation. Total Quality Management, 9(8), 703–710. doi: 10.1080/0954412988172
   Web of Science ®Google Scholar
• Tenenhaus, M., Esposito-Vinzi, V., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48(2005), 159–205. doi: 10.1016/j.csda.2004.03.005
   Web of Science ®Google Scholar
• Tidd, J., Bessant, J., & Pavitt, K. (1997). Managing innovation: Integrating technological, market, and organizational change, Chichester: John Wiley & Sons.
   Google Scholar
• Wold, H. (1985). Partial least squares. In S. Kotz, & N. L. Johnson (Eds.), Encyclopedia of statistical sciences, (pp. 581–591). New York, NY: John Wiley & Sons.6
   Google Scholar