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Article
Publication date: 16 October 2020

Kevin Daniel Tennent

The purpose of this paper is to reflect back over his career as a management and business historian so far as to consider opportunities for the future of management and business…

2622

Abstract

Purpose

The purpose of this paper is to reflect back over his career as a management and business historian so far as to consider opportunities for the future of management and business history as a disciplinary area.

Design/methodology/approach

The paper consists of two segments – the first half is an auto-ethnographic personal reflection looking at the author’s research journey and how the discipline as experienced by the author has evolved over that time. The second half is a prescriptive look forward to consider how we should leverage the strengths as historians to progress the discipline forward.

Findings

The paper demonstrates opportunities for management and business history to encompass new agendas including the expansion of the topic into teaching, the possibility for the advancement of empirical contributions and opportunities for findings in new research areas, including the global south and public and project management history.

Originality/value

The paper demonstrates that historians should be more confident in the disciplinary capabilities, particularly their understandings of historic context, continuity, change and chronologies when making empirical and theoretical contributions.

Details

Journal of Management History, vol. 27 no. 1
Type: Research Article
ISSN: 1751-1348

Keywords

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Article
Publication date: 5 June 2017

Kevin Daniel André Carillo

The purpose of this paper is to analyze the inadequacies of current business education in the tackling of the educational challenges inherent to the advent of a data-driven…

4108

Abstract

Purpose

The purpose of this paper is to analyze the inadequacies of current business education in the tackling of the educational challenges inherent to the advent of a data-driven business world. It presents an analysis of the implications of digitization and more specifically big data analytics (BDA) and data science (DS) on organizations with a special emphasis on decision-making processes and the function of managers. It argues that business schools and other educational institutions have well responded to the need to train future data scientists but have rather disregarded the question of effectively preparing future managers for the new data-driven business era.

Design/methodology/approach

The approach involves analysis and review of the literature.

Findings

The development of analytics skills shall not pertain to data scientists only, it must rather become an organizational cultural component shared among all employees and more specifically among decision makers: managers. In the data-driven business era, managers turn into manager-scientists who shall possess skills at the crossroad of data management, analytical/modeling techniques and tools, and business. However, the multidisciplinary nature of big data analytics and data science (BDADS) seems to collide with the dominant “functional silo design” that characterizes business schools. The scope and breadth of the radical digitally enabled change, the author are facing, may necessitate a global questioning about the nature and structure of business education.

Research limitations/implications

For the sake of transparency and clarity, academia and the industry must join forces to standardize the meaning of the terms surrounding big data. BDA/DS training programs, courses, and curricula shall be organized in such a way that students shall interact with an array of specialists providing them a broad enough picture of the big data landscape. The multidisciplinary nature of analytics and DS necessitates to revisit pedagogical models by developing experiential learning and implementing a spiral-shaped pedagogical approach. The attention of scholars is needed as there exists an array of unexplored research territories. This investigation will help bridge the gap between education and the industry.

Practical implications

The findings will help practitioners understand the educational challenges triggered by the advent of the data-driven business era. The implications will also help develop effective trainings and pedagogical strategies that are better suited to prepare future professionals for the new data-driven business world.

Originality/value

By demonstrating how the advent of a data-driven business era is impacting the function and role of managers, the paper initiates a debate revolving around the question about how business schools and higher education shall evolve to better tackle the educational challenges associated with BDADS training. Elements of response and recommendations are then provided.

Details

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

Keywords

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Article
Publication date: 4 February 2021

Ransome Epie Bawack, Samuel Fosso Wamba and Kevin Daniel André Carillo

The current evolution of artificial intelligence (AI) practices and applications is creating a disconnection between modern-day information system (IS) research and practices. The…

3398

Abstract

Purpose

The current evolution of artificial intelligence (AI) practices and applications is creating a disconnection between modern-day information system (IS) research and practices. The purpose of this study is to propose a classification framework that connects the IS discipline to contemporary AI practices.

Design/methodology/approach

We conducted a review of practitioner literature to derive our framework's key dimensions. We reviewed 103 documents on AI published by 25 leading technology companies ranked in the 2019 list of Fortune 500 companies. After that, we reviewed and classified 110 information system (IS) publications on AI using our proposed framework to demonstrate its ability to classify IS research on AI and reveal relevant research gaps.

Findings

Practitioners have adopted different definitional perspectives of AI (field of study, concept, ability, system), explaining the differences in the development, implementation and expectations from AI experienced today. All these perspectives suggest that perception, comprehension, action and learning are the four capabilities AI artifacts must possess. However, leading IS journals have mostly published research adopting the “AI as an ability” perspective of AI with limited theoretical and empirical studies on AI adoption, use and impact.

Research limitations/implications

First, the framework is based on the perceptions of AI by a limited number of companies, although it includes all the companies leading current AI practices. Secondly, the IS literature reviewed is limited to a handful of journals. Thus, the conclusions may not be generalizable. However, they remain true for the articles reviewed, and they all come from well-respected IS journals.

Originality/value

This is the first study to consider the practitioner's AI perspective in designing a conceptual framework for AI research classification. The proposed framework and research agenda are used to show how IS could become a reference discipline in contemporary AI research.

Details

Journal of Enterprise Information Management, vol. 34 no. 2
Type: Research Article
ISSN: 1741-0398

Keywords

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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…

4152

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

Keywords

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Book part
Publication date: 7 October 2024

Robert McLean, Chris Holligan and Michael Pugh

Abstract

Details

The Contemporary History of Drug-Based Organised Crime in Scotland
Type: Book
ISBN: 978-1-83549-652-7

Available. Content available
Book part
Publication date: 1 December 2008

Abstract

Details

Neuroeconomics
Type: Book
ISBN: 978-1-84855-304-0

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Book part
Publication date: 1 December 2008

Abstract

Details

Neuroeconomics
Type: Book
ISBN: 978-1-84855-304-0

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Book part
Publication date: 1 December 2008

Daniel Houser and Kevin McCabe

Neuroeconomics is the study of how the brain makes economic decisions. By its nature neuroeconomics studies the mechanisms of decision-making, assumed to be computational, in…

Abstract

Neuroeconomics is the study of how the brain makes economic decisions. By its nature neuroeconomics studies the mechanisms of decision-making, assumed to be computational, in order to better understand the strategies people use and the choices that people make. The focus of this book is how neuroeconomics connects to health economics in a way that improves our understanding of health care and treatment decisions. This is natural for several reasons. First, the brain and the body are intimately connected to each other and the health of one depends on the other. Second, the health system is inherently about decisions. Decisions to stay healthy, decisions to diagnose illness, decisions to treat, decisions to invest in new treatments, decisions to insure, and decisions to pay. Finally, these decisions can be difficult, as the media's consistent attention to this area attests. In light of this, for this volume we chose to include chapters that review basic research on emotion or social preference that have direct relevance to decisions in health economics. We have also included chapters that refer more specifically to some aspect of people's health care or treatment decisions. In the following we indicate the chapters within each topic area. Although many chapters could arguably fit in multiple categories, we have listed each chapter only once and without particular order.

Details

Neuroeconomics
Type: Book
ISBN: 978-1-84855-304-0

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Article
Publication date: 11 April 2016

Nadejda Komendantova, Anna Scolobig, Alexander Garcia-Aristizabal, Daniel Monfort and Kevin Fleming

Urban resilience is becoming increasingly important due to increasing degree of urbanization and a combination of several factors affecting urban vulnerability. Urban resilience…

785

Abstract

Purpose

Urban resilience is becoming increasingly important due to increasing degree of urbanization and a combination of several factors affecting urban vulnerability. Urban resilience is also understood as a capacity of a system to prepare, respond and recover from multi-hazard threats. The purpose of multi-risk approach (MRA) is to take into consideration interdependencies between multiple risks, which can trigger a chain of natural and manmade events with different spatial and temporal scales. The purpose of this study is to understand correlation between multi-risk approach and urban resilience.

Design/methodology/approach

To increase urban resilience, MRA should also include multi-risk governance, which is based on understanding how existing institutional and governance structures, individual judgments and communication of risk assessment results shape decision-making processes.

Findings

This paper is based on extensive fieldwork in the test studies of Naples, Italy and Guadeloupe, France, the historical case study analysis and the stakeholders’ interviews, workshops and focus groups discussions.

Originality/value

Multi-risk is a relatively new field in science, only partially developed in social and geosciences. The originality of this research is in establishment of a link between MRA, including both assessment and governance, and urban resilience. In this paper, the authors take a holistic and systemic look at the MRA, including all stages of knowledge generation and decision-making. Both, knowledge generation and decision-making are reinforced by behavioural biases, different perceptions and institutional factors. Further on, the authors develop recommendations on how an MRA can contribute to urban resilience.

Details

International Journal of Disaster Resilience in the Built Environment, vol. 7 no. 2
Type: Research Article
ISSN: 1759-5908

Keywords

Available. Content available
Book part
Publication date: 1 December 2008

Abstract

Details

Neuroeconomics
Type: Book
ISBN: 978-1-84855-304-0

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