Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Project management maturity in the age of big data

Project management maturity in the age of big data Purpose – While the area of project management maturity (PMM) is attracting an increased amount of research attention, the approaches to measuring maturity fit within existing social science conventions. This paper aims to examine the potential contribution of new data collection and analytical approaches to develop new insights in PMM. Design/methodology/approach – This paper takes the form of a literature review. Findings – The current trends of rapidly growing digital data collection and storage may have the potential to develop approaches to PMM assessment that overcome the limitations of existing qualitative and quantitative approaches. Research limitations/implications – Future research in PMM can employ techniques such as social network analysis and text analysis to develop insights based on the flow and content of information in organizations. Practical implications – Adoption of data analytical approaches from big data can enable the creation of new types of holistic and adaptive maturity models. Holistic maturity models provide insights based on both structured and unstructured data within organizations. Adaptive maturity models provide rapid insights based on the flow of information within an enterprise. Originality/value – The recent trend towards digitising of organizational knowledge and interactions has created the possibility to apply new analytical approaches and techniques to the understanding of PMM in firms. This paper identifies possible tools and approaches that can be applied to create new types of maturity models based on structured and unstructured data. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Managing Projects in Business Emerald Publishing

Project management maturity in the age of big data

Download PDF
7 pages

Loading next page...
 
/lp/emerald-publishing/project-management-maturity-in-the-age-of-big-data-Cavn14J2SC
Publisher
Emerald Publishing
Copyright
Copyright © 2014 Emerald Group Publishing Limited. All rights reserved.
ISSN
1753-8378
DOI
10.1108/IJMPB-01-2014-0001
Publisher site
See Article on Publisher Site

Abstract

Purpose – While the area of project management maturity (PMM) is attracting an increased amount of research attention, the approaches to measuring maturity fit within existing social science conventions. This paper aims to examine the potential contribution of new data collection and analytical approaches to develop new insights in PMM. Design/methodology/approach – This paper takes the form of a literature review. Findings – The current trends of rapidly growing digital data collection and storage may have the potential to develop approaches to PMM assessment that overcome the limitations of existing qualitative and quantitative approaches. Research limitations/implications – Future research in PMM can employ techniques such as social network analysis and text analysis to develop insights based on the flow and content of information in organizations. Practical implications – Adoption of data analytical approaches from big data can enable the creation of new types of holistic and adaptive maturity models. Holistic maturity models provide insights based on both structured and unstructured data within organizations. Adaptive maturity models provide rapid insights based on the flow of information within an enterprise. Originality/value – The recent trend towards digitising of organizational knowledge and interactions has created the possibility to apply new analytical approaches and techniques to the understanding of PMM in firms. This paper identifies possible tools and approaches that can be applied to create new types of maturity models based on structured and unstructured data.

Journal

International Journal of Managing Projects in Business – Emerald Publishing

Published: Apr 1, 2014

Keywords: Big data; Social network analysis; Maturity models; Text analysis

References

  • Project maturity in organisations
    Andersen, E.S.; Jessen, S.A.
  • Channeling the deluge: research challenges for big data and information systems
    Bennett, P.; Giles, L.; Halevy, A.; Han, J.; Hearst, M.; Leskovec, J.
  • Network analysis in the social sciences
    Borgatti, S.P.; Mehra, A.; Brass, D.J.; Labianca, G.
  • Info capacity: international production and dissemination of information: results, methodological issues and statistical perspectives
    Bounie, D.; Gille, L.
  • Matching method to paradigm in strategy research: limitations of cross‐sectional analysis and some methodological alternatives
    Bowen, H.P.; Wiersema, M.F.
  • Six provocations for big data
    Boyd, D.; Crawford, K.
  • Social Research Methods
    Bryman, A.
  • Business intelligence and analytics: from big data to big impact
    Chen, H.; Chiang, R.H.; Storey, V.C.
  • Project management maturity models: does it make sense to adopt one?
    Cooke‐Davies, T.J.
  • Project management maturity models
    Cooke‐Davies, T.J.
  • The SAGE Handbook of Qualitative Research
    Denzin, N.K.; Lincoln, Y.S.
  • Big data integration
    Dong, X.L.; Srivastava, D.
  • Study on framework of construction project management maturity model
    Fengyong, Z.; Renhui, L.
  • Big data: distilling meaning from data
    Frankel, F.; Reid, R.
  • Three eras of survey research
    Groves, R.M.
  • A survey of text mining techniques and applications
    Gupta, V.; Lehal, G.S.
  • How Much Information 2003?
    Lyman, P.; Varian, H.R.; Swearingen, K.; Charles, P.; Good, N.; Jordan, L.; Pal, J.
  • An assessment of survey research in POM: from constructs to theory
    Malhotra, M.K.; Grover, V.
  • Using social network analysis to visualize project teams
    Mead, S.P.
  • Work‐home boundary management using communication and information technology
    Park, Y.; Jex, S.M.
  • Project Management Maturity: A Critical Analysis of Existing and Emergent Contributing Factors
    Pasian, B.L.
  • Organizational Project Management Maturity Model (OPM3)
    PMI
  • Big data – a state‐of‐the‐art
    Pospiech, M.; Felden, C.
  • Analysing construction project coalitions: exploring the application of social network analysis
    Pryke, S.D.
  • Validity and reliability tests in case study research
    Reige, A.
  • Big data: a review
    Sagiroglu, S.; Sinanc, D.
  • A real world look at achieving project management maturity
    Saures, I.
  • Techniques on text mining
    Sukanya, M.; Biruntha, S.
  • Alternative approaches for studying organizational change
    Van de Ven, A.H.; Poole, M.S.
  • The maturity of maturity model research: a systematic mapping study
    Wendler, R.
  • Big data privacy
    Wong, R.
  • Data mining with big data
    Wu, X.; Zhu, X.; Wu, G.; Ding, W.
  • Sensing as a service and big data
    Zaslavsky, A.; Perera, C.; Georgakopoulos, D.
  • Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
    Zikopoulos, P.; Eaton, C.