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Article
Publication date: 7 July 2020

Debora Jeske and Thomas Stephen Calvard

Structural and technological changes are driving functional reorganization in many organizations. To date, there are very few articles that explicitly, consistently and…

Abstract

Purpose

Structural and technological changes are driving functional reorganization in many organizations. To date, there are very few articles that explicitly, consistently and cumulatively focus on cross-functional integration. This paper aims to review and explore the literature that does directly address cross-functional integration.

Design/methodology/approach

The authors conducted a literature review within the general management domain for the time frame 2010 to 2020 and identified 71 relevant articles that provide an overview of current practices and trends.

Findings

This conceptual paper reviews this identified literature and outlines key trends, noteworthy articles and a summary of relevant theories, and provides an overview of outcomes linked to cross-functional integration in the literature. The paper concludes with a set of recommendations for practitioners and an outline of potential research areas for academic researchers, including a call for more theory integration, building and testing in the area of cross-functionality.

Originality/value

This paper is the first of its kind to attempt to summarize the literature on cross-functionality (published between 2010 and 2020), a currently very fragmented field of study spread out across different management disciplines.

Details

International Journal of Organizational Analysis, vol. 29 no. 2
Type: Research Article
ISSN: 1934-8835

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Article
Publication date: 6 January 2020

Debora Jeske and Thomas Calvard

The purpose of this paper is to critically reflect on the pros and cons of using employee information in big data projects.

Abstract

Purpose

The purpose of this paper is to critically reflect on the pros and cons of using employee information in big data projects.

Design/methodology/approach

The authors reviewed papers in the area of big data that has immediate repercussions for the experiences of employees and employers.

Findings

The review of papers to date suggests that big data lessons based on employee data are still a relatively unknown area of employment literature. Particular attention is paid to discussion of employee rights, ethics, expectations and the implications employer conduct has on employment relationships and prospective benefits of big data analytics at work for work.

Originality/value

This viewpoint paper highlights the need for more discussion between employees and employers about the collection, use, storage and ownership of data in the workplace. A number of recommendations are put forward to support future data collection efforts in organisations.

Details

Employee Relations: The International Journal, vol. 42 no. 1
Type: Research Article
ISSN: 0142-5455

Keywords

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Book part
Publication date: 10 April 2019

Jane K. Lê and Torsten Schmid

While qualitative work has a long tradition in the strategy field and has recently regained popularity, we have not paused to take stock of how such work offers…

Abstract

While qualitative work has a long tradition in the strategy field and has recently regained popularity, we have not paused to take stock of how such work offers contributions. We address this oversight with a review of qualitative studies of strategy published in five top-tier journals over an extended period of 15 years (2003–2017). In an attempt to organize the field, we develop an empirically grounded organizing framework. We identify 12 designs that are evident in the literature, or “designs-in-use” as we call them. Acknowledging important similarities and differences between the various approaches to qualitative strategy research (QSR), we group these designs into three “families” based on their philosophical orientation. We use these designs and families to identify trends in QSR. We then engage those trends to orient the future development of qualitative methods in the strategy field.

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Article
Publication date: 18 May 2021

Clotilde Coron

With a focus on the evolution of human resource management (HRM) quantification over 2000–2020, this study addresses the following questions: (1) What are the data sources…

Abstract

Purpose

With a focus on the evolution of human resource management (HRM) quantification over 2000–2020, this study addresses the following questions: (1) What are the data sources used to quantify HRM? (2) What are the methods used to quantify HRM? (3) What are the objectives of HRM quantification? (4) What are the representations of quantification in HRM?

Design/methodology/approach

This study is based on an integrative synthesis of 94 published peer-reviewed empirical and non-empirical articles on the use of quantification in HRM. It uses the theoretical framework of the sociology of quantification.

Findings

The analysis shows that there have been several changes in HRM quantification over 2000–2020 in terms of data sources, methods and objectives. Meanwhile, representations of quantification have evolved relatively little; it is still considered as a tool, and this ignores the possible conflicts and subjectivity associated with the use of quantification.

Originality/value

This literature review addresses the use of quantification in HRM in general and is thus larger in scope than previous reviews. Notably, it brings forth new insights on possible differences between the main uses of quantification in HRM, as well as on artificial intelligence and algorithms in HRM.

Details

Personnel Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0048-3486

Keywords

Content available
Article
Publication date: 23 March 2021

Aizhan Tursunbayeva, Claudia Pagliari, Stefano Di Lauro and Gilda Antonelli

This research analyzed the existing academic and grey literature concerning the technologies and practices of people analytics (PA), to understand how ethical…

Abstract

Purpose

This research analyzed the existing academic and grey literature concerning the technologies and practices of people analytics (PA), to understand how ethical considerations are being discussed by researchers, industry experts and practitioners, and to identify gaps, priorities and recommendations for ethical practice.

Design/methodology/approach

An iterative “scoping review” method was used to capture and synthesize relevant academic and grey literature. This is suited to emerging areas of innovation where formal research lags behind evidence from professional or technical sources.

Findings

Although the grey literature contains a growing stream of publications aimed at helping PA practitioners to “be ethical,” overall, research on ethical issues in PA is still at an early stage. Optimistic and technocentric perspectives dominate the PA discourse, although key themes seen in the wider literature on digital/data ethics are also evident. Risks and recommendations for PA projects concerned transparency and diverse stakeholder inclusion, respecting privacy rights, fair and proportionate use of data, fostering a systemic culture of ethical practice, delivering benefits for employees, including ethical outcomes in business models, ensuring legal compliance and using ethical charters.

Research limitations/implications

This research adds to current debates over the future of work and employment in a digitized, algorithm-driven society.

Practical implications

The research provides an accessible summary of the risks, opportunities, trade-offs and regulatory issues for PA, as well as a framework for integrating ethical strategies and practices.

Originality/value

By using a scoping methodology to surface and analyze diverse literatures, this study fills a gap in existing knowledge on ethical aspects of PA. The findings can inform future academic research, organizations using or considering PA products, professional associations developing relevant guidelines and policymakers adapting regulations. It is also timely, given the increase in digital monitoring of employees working from home during the Covid-19 pandemic.

Details

Personnel Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0048-3486

Keywords

Content available
Book part
Publication date: 18 June 2021

Suneel Jethani

Abstract

Details

The Politics and Possibilities of Self-Tracking Technology
Type: Book
ISBN: 978-1-80043-338-0

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Article
Publication date: 9 April 2021

Morteza Namvar, Ali Intezari and Ghiyoung Im

Business analytics (BA) has been a breakthrough technological development in recent years. Although scholars have suggested several solutions in using these technologies…

Abstract

Purpose

Business analytics (BA) has been a breakthrough technological development in recent years. Although scholars have suggested several solutions in using these technologies to facilitate decision-making, there are as of yet limited studies on how analysts, in practice, improve decision makers' understanding of business environments. This study uses sensemaking theory and proposes a model of how data analysts generate analytical outcomes to improve decision makers' understanding of the business environment.

Design/methodology/approach

This study employs an interpretive field study with thematic analysis. The authors conducted 32 interviews with data analysts and consultants in Australia and New Zealand. The authors then applied thematic analysis to the collected data.

Findings

The thematic analysis discovered four main sensegiving activities, including data integration, trustworthiness analysis, appropriateness analysis and alternative selection. The proposed model demonstrates how these activities support the properties of sensemaking and result in improved decision-making.

Research limitations/implications

This study provides strong empirical evidence for the theory development and practice of sensemaking. It brings together two distinct fields – sensemaking and business analytics – and demonstrates how the approaches advocated by these two fields could improve analytics applications. The findings also propose theoretical implications for information system development (ISD).

Practical implications

This study demonstrates how data analysts could use analytical tools and social mechanisms to improve decision makers' understanding of the business environment.

Originality/value

This study is the first known empirical study to conceptualize the theory of sensemaking in the context of BA and propose a model for analytical sensegiving in organizations.

Details

Information Technology & People, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 4 September 2019

Valeriia Boldosova and Severi Luoto

The purpose of this paper is to explore the role of storytelling in data interpretation, decision-making and individual-level adoption of business analytics (BA).

Abstract

Purpose

The purpose of this paper is to explore the role of storytelling in data interpretation, decision-making and individual-level adoption of business analytics (BA).

Design/methodology/approach

Existing theory is extended by introducing the concept of BA data-driven storytelling and by synthesizing insights from BA, storytelling, behavioral research, linguistics, psychology and neuroscience. Using theory-building methodology, a model with propositions is introduced to demonstrate the relationship between storytelling, data interpretation quality, decision-making quality, intention to use BA and actual BA use.

Findings

BA data-driven storytelling is a narrative sensemaking heuristic positively influencing human behavior towards BA use. Organizations deliberately disseminating BA data-driven stories can improve the quality of individual data interpretation and decision-making, resulting in increased individual utilization of BA on a daily basis.

Research limitations/implications

To acquire a deeper understanding of BA data-driven storytelling in behavioral operational research (BOR), future studies should test the theoretical model of this study and focus on exploring the complexity and diversity in individual attitudes toward BA.

Practical implications

This study provides practical guidance for business practitioners who struggle with interpreting vast amounts of complex data, making data-driven decisions and incorporating BA into daily operations.

Originality/value

This cross-disciplinary study develops existing BOR, storytelling and BA literature by showing how a novel BA data-driven storytelling approach can facilitate BA adoption in organizations.

Details

Management Research Review, vol. 43 no. 2
Type: Research Article
ISSN: 2040-8269

Keywords

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Article
Publication date: 6 January 2021

Muhammad Naeem and Wilson Ozuem

Competitive pressure and social influence for technology adoption have increased among developed, developing and emerging countries. The influence of social structure…

Abstract

Purpose

Competitive pressure and social influence for technology adoption have increased among developed, developing and emerging countries. The influence of social structure, organizational forces and political forces varies between public sector hospitals in countries where there are more social media restrictions. This study aims to explore how the use of social media can influence employee engagement and productivity in the workplaces of public sector hospitals.

Design/methodology/approach

The study follows a social constructivist approach to understand employee attitudes, motivation culture, political forces and the local context. Data were collected from health professionals of five public sector hospitals using a non-directive and semi-structured interview method.

Findings

The results show that the use of social media sites has increased collaboration, coordination and cooperation among health professionals, especially in critical situations. They are more socialized, connected and engaged, thus helping them to exchange useful knowledge using instant messaging apps. Conversely, there are no organizational polices and specific laws and too little support from management and senior doctors to drive the use of social networking sites in public hospitals. The use of social media has enhanced health professionals' engagement and productivity as they are able to share their expertise, knowledge and information with their colleagues and subordinates.

Research limitations/implications

The results can guide policy-makers, researchers, hospitals, doctors and the Ministry of Health about the positive use of social networking sites in the workplace. The positive use of social networking sites in the workplace can enhance information, knowledge and coordination which may help to enhance employee engagement and productivity.

Originality/value

The present study has provided a social media health organization workplace (SMHOW) model which explains how individual and organizational contexts can influence the actual use of social media in healthcare organizations.

Details

Employee Relations: The International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0142-5455

Keywords

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Article
Publication date: 10 May 2021

Maryna Murdock, Nivine Richie, William Sackley and Heath White

The purpose of this paper is to determine if the failure of the Securities and Exchange Commission (SEC) to persecute Madoff is, in fact, an ethical failure. The authors…

Abstract

Purpose

The purpose of this paper is to determine if the failure of the Securities and Exchange Commission (SEC) to persecute Madoff is, in fact, an ethical failure. The authors turn to the extension of Aristotelian theory of moral values, virtue epistemology, to identify specific failures. The authors generalize this study’s conclusions to an overall responsibility of regulatory agencies to exercise epistemic virtues in their decision-making process. The authors explore how behavioral biases confound the execution of epistemic duty, and how awareness of behavioral biases can alleviate epistemic failures. The authors conclude this study with recommendations to prevent future frauds of Madoff proportions.

Design/methodology/approach

The authors rely on recent advances in virtue epistemology and behavioral finance. The authors combine these two theoretical approaches to better understand the duty of competence inherent in being a finance professional, and even more so in being a regulator entrusted with overseeing financial industry, and psychological biases that may prevent finance professionals and regulators from performing this duty.

Findings

The paper concludes that the SEC employees failed to exercise epistemic virtues in their handling of the complaints implicating Madoff’s firm of fraud. This failure reveals a consistent pattern of behavioral biases in decision-making. The authors posit that knowledge of ethical theory, specifically virtue epistemology, as well as awareness of behavioral biases, which inhibit epistemically virtuous cognitive process, can improve the functioning of both finance industry and its overseers. The authors suggest that future finance professionals and regulators need to acquire this knowledge while pursuing their undergraduate education: it is the duty of business schools to facilitate this progress.

Originality/value

This paper combines the theory of virtue epistemology with the current knowledge of behavioral biases, which distort rational decision-making, to explain the failures of regulators to analyze fraud reports. The authors extend this finding to recommend the inclusion of the theory of virtue epistemology in business schools’ ethics curriculum.

Details

Journal of Financial Crime, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1359-0790

Keywords

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