Agile Project Management Approach and its Use in Big Data Management

Franková, Patrícia; Drahošová, Martina; Balco, Peter

doi:10.1016/j.procs.2016.04.272

“…The study concluded that the independent and unstructured nature of BDA presents challenges, and the role of configuration management to maintain integrity is essential. Franková et al (2016) investigated the use of BDA for agile project management. The most important factors identified were cooperation with the customer, communication, software, tools, and resistance to change; recommendations for BDA implementation were realistic goals, teamwork, training and education and iterative approach.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Mangla

¹

,

Raut

²

,

Narwane

³

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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“…The close cooperation of managers, CIOs, the owners of the product, the development team can … help find the right data, cleanse [data], and they can help in the decision to adopt or reject a hypothesis. In these cases, the agile iterative approach is very important because with Big Data [it] is difficult to predetermine return on investment [173] (p. 581).…”

Section: Modifications For Agile Methodologiesmentioning

confidence: 99%

NIST Big Data Interoperability Framework:

Subgroup.¹

2019

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NIST Special Publication series 1500 is intended to capture external perspectives related to NIST standards, measurement, and testing-related efforts. These external perspectives can come from industry, academia, government, and others. These reports are intended to document external perspectives and do not represent official NIST positions. Certain commercial entities, equipment, or materials may be identified in this document to describe an experimental procedure or concept adequately. Such identification is not intended to imply recommendation or endorsement by NIST, nor is it intended to imply that the entities, materials, or equipment are necessarily the best available for the purpose. There may be references in this publication to other publications currently under development by NIST in accordance with its assigned statutory responsibilities. The information in this publication, including concepts and methodologies, may be used by federal agencies even before the completion of such companion publications. Thus, until each publication is completed, current requirements, guidelines, and procedures, where they exist, remain operative. For planning and transition purposes, federal agencies may wish to closely follow the development of these new publications by NIST. Organizations are encouraged to review all draft publications during public comment periods and provide feedback to NIST. All NIST publications are available at http://www.nist.gov/publication-portal.cfm.

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“…The close cooperation of managers, CIOs, the owners of the product, the development team can … help find the right data, cleanse [data], and they can help in the decision to adopt or reject a hypothesis. In these cases, the agile iterative approach is very important because with Big Data [it] is difficult to predetermine return on investment [157] (p. 581).…”

Section: Modifications For Agile Methodologiesmentioning

confidence: 99%

NIST Big Data Interoperability Framework: volume 4, security and privacy, version 2

2018

View full text Add to dashboard Cite

NIST Special Publication series 1500 is intended to capture external perspectives related to NIST standards, measurement, and testing-related efforts. These external perspectives can come from industry, academia, government, and others. These reports are intended to document external perspectives and do not represent official NIST positions. Certain commercial entities, equipment, or materials may be identified in this document to describe an experimental procedure or concept adequately. Such identification is not intended to imply recommendation or endorsement by NIST, nor is it intended to imply that the entities, materials, or equipment are necessarily the best available for the purpose. There may be references in this publication to other publications currently under development by NIST in accordance with its assigned statutory responsibilities. The information in this publication, including concepts and methodologies, may be used by federal agencies even before the completion of such companion publications. Thus, until each publication is completed, current requirements, guidelines, and procedures, where they exist, remain operative. For planning and transition purposes, federal agencies may wish to closely follow the development of these new publications by NIST. Organizations are encouraged to review all draft publications during public comment periods and provide feedback to NIST. All NIST publications are available at http://www.nist.gov/publication-portal.cfm.

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Agile Project Management Approach and its Use in Big Data Management

Cited by 19 publications

References 8 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

NIST Big Data Interoperability Framework:

NIST Big Data Interoperability Framework: volume 4, security and privacy, version 2

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