Abstract
In managing innovation, leaders set out to make sense of large chunks of information. This consists of the constant processing of data from a variety of sources, such as performance data, financial reports, market analyses, insight from employee surveys and management literature. Analysing and comparing information from a variety of sources can be experienced as a daunting and technical task. One of the risks lies in using conservative and ‘best practice’ types of data analysis. This chapter will outline why this limits insight in complex processes, which is particularly the case managing innovation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Celeux, G. & Soromenho, G. (1996) An Entropy Criterion for Assessing the Number of Clusters in a Mixture Model. Journal of Classification, 13: 195–212.
Chartered Institute of Personnel Development (2014) the Innovation Imperative: the Challenge for HR. Survey Report. London: CIPD. http://www.cipd.co.uk/hr-resources/research/innovation-imperative-challenge-hr.aspx
Davenport, T. H. & Kim, J. (2013) Kee** Up with the Quants: Your Guide to Understanding and Using Analytics: Harvard Business Review Press.
Frambach, R. T. & Schillewaert, N. (2002) Organizational Innovation Adoption: A Multi-Level Framework of Determinants and Opportunities for Future Research. Journal of Business Research, 55 (2): 163–176.
Jensen, M. B., Johnson, B., Lorenz, E. & Lundvall, B. A. (2007). Forms of Knowledge and Modes of Innovation. Research Policy, 36 (5): 680–693.
Jung, D. I., Chow, C. & Wu, A. (2003) The Role of Transformational Leadership in Enhancing Organizational Innovation: Hypotheses and Some Preliminary Findings. The Leadership Quarterly, 14 (4): 525–544.
Kam, C., Morin, A. J., Meyer, J. P. & Topolnytsky, L. (2013, in press) Are Commitment Profiles Stable and Predictable? a Latent Transition Analysis. Journal of Management, doi: 0149206313503010.
Ketchen, D. J. & Shook, C. L. (1996) The Applications of Cluster Analysis in Strategic Management Research, an Analysis and Critique. Strategic Management Journal, 17 (6): 441–458.
Klein, H., Becker, T. E. & Meyer, J. P. (2009) Commitment in Organisations: Accumulated Wisdom and New Directions: Routledge/Tayler & Francis group.
Kline, R. B. (2011). Convergence of Structural Equation Modeling and Multilevel Modeling. In M. Williams (Ed.), Handbook of Methodological Innovation. Thousand Oaks, CA: Sage.
Li, W. & Nyholt, D. R. (2001) Marker Selection by Akaike Information Criterion and Bayesian Information Criterion. Genetic Epidemiology, 21: 272–277.
Liyanage, S. (1995) Breeding Innovation Clusters through Collaborative Research Networks. Technovation, 15 (9): 553–567.
Lubke, G. H. & Muthén, B. (2005) Investigating Population Heterogeneity with Factor Mixture Models. Psychological methods, 10 (1): 21.
Magnusson, D. (1998). The Logic and Implications of a Person Approach. In R.B. In Cairns, Bergman, & Kagan (Ed.), Methods and Models for Studying the Individual. Newbury Park, CA: Sage.
Marsh, H. W., Lüdtke, O., Trautwein, U. & Morin, A. J. S. (2009) Classical Latent Profile Analysis of Academic Self-Concept Dimensions: Synergy of Person-and Variable-Centered Approaches to Theoretical Models of Self-Concept. Structural Equation Modeling: A Multidisciplinary Journal, 16 (2), 191–225.
Meyer, J. P., Stanley, L. J. & Vandenberg, R. J. (2012) A Person-Centered Approach to the Study of Commitment. Human Resource Management Review, 23 (2): 190–202.
Meyer, J. & Herscovitch, L. (2001) Commitment in the Workplace: Toward a General Model. Human Resource Management Review, 11 (3): 299–326.
Morin, A. J. S., Morizot, J., Boudrias, J. S. & Madore, I. (2011) A Multifoci Person-Centered Perspective on Workplace Affective Commitment: A Latent Profile/Factor Mixture Analysis. Organizational Research Methods, 14 (1): 58–90.
Muthén, B. O. (2004) Latent Variable Analysis. the Sage Handbook of Quantitative Methodology for the Social Sciences. Thousand Oaks, CA: Sage Publications, 345–368.
Muthén, B. O. & Sedden, K. (1999) Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithms. Biometrics, 55: 463–469.
Muthén, L. & Muthén, B. O. (2013). MPlus User’s guide (7th edition) Los Angeles, CA: Muthén & Muthén.
Scott, S. G. & Bruce, R. A. (1994) Determinants of Innovative Behavior — a Path Model of Individual Innovation in the Workplace. Academy of Management Journal, 37 (3): 580–607.
van de Ven, A. (1986) Central Problems in the Management of Innovation. Management science, 32 (5): 590–607.
Editor information
Editors and Affiliations
Copyright information
© 2016 Yvonne van Rossenberg
About this chapter
Cite this chapter
van Rossenberg, Y. (2016). A Tale of Two Approaches: How and Why a Person-Centred Approach would Provide New Insight into the Leadership of Innovation. In: Shipton, H., Budhwar, P., Sparrow, P., Brown, A. (eds) Human Resource Management, Innovation and Performance. Palgrave Macmillan, London. https://doi.org/10.1057/9781137465191_13
Download citation
DOI: https://doi.org/10.1057/9781137465191_13
Publisher Name: Palgrave Macmillan, London
Print ISBN: 978-1-349-56307-4
Online ISBN: 978-1-137-46519-1
eBook Packages: Business and ManagementBusiness and Management (R0)