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Article
Publication date: 5 June 2017

Daniel Bumblauskas, Herb Nold, Paul Bumblauskas and Amy Igou

The purpose of this paper is to provide a conceptual model for the transformation of big data sets into actionable knowledge. The model introduces a framework for converting data…

9194

Abstract

Purpose

The purpose of this paper is to provide a conceptual model for the transformation of big data sets into actionable knowledge. The model introduces a framework for converting data to actionable knowledge and mitigating potential risk to the organization. A case utilizing a dashboard provides a practical application for analysis of big data.

Design/methodology/approach

The model can be used both by scholars and practitioners in business process management. This paper builds and extends theories in the discipline, specifically related to taking action using big data analytics with tools such as dashboards.

Findings

The authors’ model made use of industry experience and network resources to gain valuable insights into effective business process management related to big data analytics. Cases have been provided to highlight the use of dashboards as a visual tool within the conceptual framework.

Practical implications

The literature review cites articles that have used big data analytics in practice. The transitions required to reach the actionable knowledge state and dashboard visualization tools can all be deployed by practitioners. A specific case example from ESP International is provided to illustrate the applicability of the model.

Social implications

Information assurance, security, and the risk of large-scale data breaches are a contemporary problem in society today. These topics have been considered and addressed within the model framework.

Originality/value

The paper presents a unique and novel approach for parsing data into actionable knowledge items, identification of viruses, an application of visual dashboards for identification of problems, and a formal discussion of risk inherent with big data.

Details

Business Process Management Journal, vol. 23 no. 3
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 16 November 2015

Craig Henry

278

Abstract

Details

Strategy & Leadership, vol. 43 no. 6
Type: Research Article
ISSN: 1087-8572

Available. Content available
Article
Publication date: 5 June 2017

Professor Samuel Fosso Wamba

9766

Abstract

Details

Business Process Management Journal, vol. 23 no. 3
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 1 June 2001

Jo Carby Hall

Examines the situation in the UK in some detail with regard to three aspects of the Charter of Fundamental Human Rights of the European Union. Looks at the aims, together with an…

537

Abstract

Examines the situation in the UK in some detail with regard to three aspects of the Charter of Fundamental Human Rights of the European Union. Looks at the aims, together with an analysis and appraisal. Considers, first, information and consultation rights with regards to the transfer of undertakings and redundancies, followd by the right to collective action and, lastly, protection in the event of unjustifiable dismissal. Presents case law throughout as examples. Concludes that the UK has attempted to prevent social and economic rights for workers from being included in the final charter despite fierce opposition. Compares this view together with the UK suspicion of Europe against the views of the other member states.

Details

Managerial Law, vol. 43 no. 3/4
Type: Research Article
ISSN: 0309-0558

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Article
Publication date: 17 July 2018

Kevin Daniel André Carillo, Nadine Galy, Cameron Guthrie and Anne Vanhems

The purpose of this paper is to emphasize the need to engender a positive attitude toward business analytics in order for firms to more effectively transform into data-driven…

4155

Abstract

Purpose

The purpose of this paper is to emphasize the need to engender a positive attitude toward business analytics in order for firms to more effectively transform into data-driven businesses, and for business schools to better prepare future managers.

Design/methodology/approach

This paper develops and validates a measurement instrument that captures the attitude toward business statistics, the foundation of business analytics. A multi-stage approach is implemented and the validation is conducted with a sample of 311 students from a business school.

Findings

The instrument has strong psychometric properties. It is designed so that it can be easily extrapolated to professional contexts and extended to the entire domain of business analytics.

Research limitations/implications

As the advent of a data-driven business world will impact the way organizations function and the way individuals think, work, communicate and interact, it is crucial to engage a transdisciplinary dialogue among domains that have the expertise to help train and transform current and future professionals.

Practical implications

The contribution provides educators and organizations with a means to measure and monitor attitudes toward statistics, the most anxiogenic component of business analytics. This is a first step in monitoring and developing an analytics mindset in both managers and students.

Originality/value

By demonstrating how the advent of the data-driven business era is transforming the DNA and functioning of organizations, this paper highlights the key importance of changing managers’ and all employees’ (to a lesser extent) mindset and way of thinking.

Details

Business Process Management Journal, vol. 25 no. 3
Type: Research Article
ISSN: 1463-7154

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