The role of big data and knowledge management in improving projects and project-based organizations

Ekambaram, Anandasivakumar; Sørensen, Anette Østbø; Bull-Berg, Heidi; Olsson, Nils O.E.

doi:10.1016/j.procs.2018.10.111

Cited by 45 publications

(23 citation statements)

References 15 publications

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“…However, in manufacturing firms handling projects, there is the hesitation about BDA, which includes cost-benefit analysis (Zillner et al , 2014). Ekambaram et al (2018) examined the role of knowledge management and BDA in improving project-based organizations. Whyte et al (2016) studied three different types of industries in three countries namely, Airbus (Aerospace – France), CERN (Nuclear – Switzerland), and Crossrail (Infrastructure – UK) for the use of BDA to manage change in the delivery.…”

Section: Literature Reviewmentioning

confidence: 99%

Mediating effect of big data analytics on project performance of small and medium enterprises

Mangla

Raut

Narwane

et al. 2020

JEIM

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PurposeThis study aims to investigate the mediating role of “Big Data Analytics” played between “Project Performance” and nine factors including top management, project knowledge management focus on sustainability, green purchasing, environmental technologies, social responsibility, project operational capabilities, project complexity, collaboration and explorative learning, and project success.Design/methodology/approachA sample of 321 responses from 106 Indian manufacturing small and medium-scaled enterprises (SMEs) was collected. Data were analyzed using empirical analysis through structural equation modeling.FindingsThe result shows that project knowledge management, green purchasing and project operational capabilities require the mediating support of big data analytics. The adoption of big data analytics has a positive influence on project performance in the manufacturing sector.Practical implicationsThis study is useful to SMEs managers, practitioners and government policymakers to develop an understanding of big data analytics, eliminate challenges in the adoption of big data, and formulate strategies to handle projects efficiently in SMEs in the context of Indian manufacturing.Originality/valueFor the first time, big data for manufacturing firms handing innovative projects was discussed in the Indian SME context.

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Section: Literature Reviewmentioning

confidence: 99%

Mediating effect of big data analytics on project performance of small and medium enterprises

Mangla

Raut

Narwane

et al. 2020

JEIM

View full text Add to dashboard Cite

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“…Thus, the concept of the system approach of the enterprise restructuring process is directly related to scientific and technological progress in various aspects of economic activity: the controlling in the management process (Dzwigol and Wolniak, 2018); the long-term industry restructuring (Jonek-Kowalska, 2015); the economic and social aspects of restructuring (Dalevska et al, 2019;Kwilinski et al, 2019d;Manowska et al, 2017); new trends in economy (Ahmady at el., 2016;Baatartogtok et al, 2018;Ekambaram et al, 2018;Kwilinski, 2019a;2019c;Lakhno et al, 2018;Pajak et al, 2016;Tkachenko et al, 2019a;2019b;Wang et al, 2019); the innovation and economic growth in the industry (Dementyev and Scherbakov, 2017;Fan et al, 2017;Kwilinski, 2018;2019;2019d); the entrepreneurial activity (Boiko et al, 2019;Savchenko et al, 2019;Tkachenko et al, 2019c); the business responsibility (Kwilinski et al, 2019b); the energy security in regional policy (Pajak et al, 2017);…”

Section: Henryk Dźwigołmentioning

confidence: 99%

The concept of the system approach of the enterprise restructuring process

Dźwigoł

2019

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The article presents methodical requirements for the restructuring programme in the context of strategic management and the shaping of strategic forms. The author described the corporate restructuring model as a basis for transformations designed to achieve a knowledge-based organisation. The author attempted to address the following question: How should the knowledge management model be perceived in modern companies? Furthermore, the importance of organisational forms in the corporate restructuring process was underlined. The restructuring process should be carried out on the basis of specific restructuring objectives resulting from the scope of changes.

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“…The main research implication from all the above is that the superproject management problem is just one example of a more general problem, which has already been identified (Stone et al , 2019), but which need to be dealt with using learning from a much wider range of management disciplines, particularly as change management (Hornstein, 2015) and strategic decision making processes (Shepherd and Rudd, 2014), but also other areas such as leadership (Tyssen et al , 2014; Coleman and Bourne, 2018), big data (Merendino et al , 2018), cognitive bias (Montibeller and Von Winterfeldt, 2015), artificial intelligence (Auth et al , 2019, Prieto, 2019), military strategy (Payne, 2018) and knowledge management (Ekambaram et al , 2018). In some respect, the superproject literature is discovering phenomena that has been widely researched and documented in other literature, but in an interesting combination, which does need stronger integration.…”

Section: The Conclusion and Implications For Information Management In Superproject Controlmentioning

confidence: 99%

Controlling superprojects – information management requirements

Parnell¹,

Stone

Aravopoulou

2020

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Purpose This paper aims to explore the problems of managing superprojects and identifies how a different approach to controlling them can reduce the incidence of cost and time overruns and benefit shortfalls. Design/methodology/approach Literature review accompanied by conceptual analysis. Findings Project cost and timing overruns and benefit shortfalls are very frequent in superprojects. These problems can be ascribed partly to the way in which they are planned is not taken into account in designing and implementing control systems, particularly the governance processes and the information they have available. Practical implications This paper has serious implications for those designing control processes, governance and information management for superprojects. It suggests that if a new approach is taken, fewer superprojects will suffer from cost overruns and benefit shortfalls because remedial actions will be taken earlier for projects, which are experiencing problems, while learning will be fed back to those planning new projects. Social implications There will be saving of public money and reduced deferment of benefits that normally result from failed or delayed projects and reduced allocation of large incremental budgets dedicated to resolving problems. Originality/value The taxonomy of different types of superprojects is original, as is the idea of ambidextrous control, and the diagnosis of failure reasons lying in the nature of control and governance processes, and the lack of relevant information available during the control process.

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The role of big data and knowledge management in improving projects and project-based organizations

Cited by 45 publications

References 15 publications

Mediating effect of big data analytics on project performance of small and medium enterprises

Mediating effect of big data analytics on project performance of small and medium enterprises

The concept of the system approach of the enterprise restructuring process

Controlling superprojects – information management requirements

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