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Article
Publication date: 1 April 1999

Damian Reece

As market capitalism celebrates its first decade of undisputed hegemony its oldest barometer — the US stock market's Dow Jones Industrial Average — has undergone one of the rare…

82

Abstract

As market capitalism celebrates its first decade of undisputed hegemony its oldest barometer — the US stock market's Dow Jones Industrial Average — has undergone one of the rare revisions of its constituent companies. In reseating the top table of corporate America it aims to remain representative of the evolving US economy.

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Measuring Business Excellence, vol. 3 no. 4
Type: Research Article
ISSN: 1368-3047

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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 to…

1098

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.

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Information Technology & People, vol. 34 no. 6
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 29 May 2024

Elena Mazurova and Willem Standaert

This study aims to uncover the constraints of automation and the affordances of augmentation related to implementing artificial intelligence (AI)-powered systems across different…

423

Abstract

Purpose

This study aims to uncover the constraints of automation and the affordances of augmentation related to implementing artificial intelligence (AI)-powered systems across different task types: mechanical, thinking and feeling.

Design/methodology/approach

Qualitative study involving 45 interviews with various stakeholders in artistic gymnastics, for which AI-powered systems for the judging process are currently developed and tested. Stakeholders include judges, gymnasts, coaches and a technology vendor.

Findings

We identify perceived constraints of automation, such as too much mechanization, preciseness and inability of the system to evaluate artistry or to provide human interaction. Moreover, we find that the complexity and impreciseness of the rules prevent automation. In addition, we identify affordances of augmentation such as speedier, fault-less, more accurate and objective evaluation. Moreover, augmentation affords to provide an explanation, which in turn may decrease the number of decision disputes.

Research limitations/implications

While the unique context of our study is revealing, the generalizability of our specific findings still needs to be established. However, the approach of considering task types is readily applicable in other contexts.

Practical implications

Our research provides useful insights for organizations that consider implementing AI for evaluation in terms of possible constraints, risks and implications of automation for the organizational practices and human agents while suggesting augmented AI-human work as a more beneficial approach in the long term.

Originality/value

Our granular approach provides a novel point of view on AI implementation, as our findings challenge the notion of full automation of mechanical and partial automation of thinking tasks. Therefore, we put forward augmentation as the most viable AI implementation approach. In addition, we developed a rich understanding of the perception of various stakeholders with a similar institutional background, which responds to recent calls in socio-technical research.

Details

Information Technology & People, vol. 37 no. 7
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 12 November 2024

Remya Lathabhavan and Mohamed Fawzy El-Bardan

This study aims to investigate the association between COVID-19-related fear and academic engagement, perceived stress and life satisfaction among college students in two…

23

Abstract

Purpose

This study aims to investigate the association between COVID-19-related fear and academic engagement, perceived stress and life satisfaction among college students in two countries – Egypt in Africa and India in Asia, during the pandemic. The study also aims to analyze the moderating role of gender in these relationships.

Design/methodology/approach

Structural equation modeling was used to analyze data collected from 1,125 college students from India and 1,145 college students from Egypt.

Findings

Positive correlations were found between fear of COVID-19 and perceived stress among the college students of Egypt and India, while negative correlations were found between fear of COVID-19 and both student engagement and life satisfaction. The strength of these relationships was found to be stronger in the Egyptian sample compared to the Indian sample. Gender was found to be a significant factor in the relationships between the variables studied. In the Indian sample, female respondents appeared to experience more mental health concerns and academic impacts than male respondents. In the Egyptian sample, however, the gender effects varied for the different relationships between the fear of COVID-19 and the other chosen variables.

Originality/value

The results emphasize the need to reevaluate and monitor policies and resources to promote positive mental health among adolescents, especially during times of crisis. The study stands among the pioneers that investigated a comparative study of two countries to check the mental health impacts on the study engagement during the pandemic.

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Mental Health and Social Inclusion, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2042-8308

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Article
Publication date: 1 September 2002

B.S. Dhillon, A.R.M. Fashandi and K.L. Liu

This paper presents a review of published literature on robot reliability and safety. The literature is classified into three main categories: robot safety; robot reliability; and…

4522

Abstract

This paper presents a review of published literature on robot reliability and safety. The literature is classified into three main categories: robot safety; robot reliability; and miscellaneous. Robot safety is further categorized into six classifications: general; accidents; human‐factors; safety standards; safety methods; and safety systems/technologies. The period covered by the review is from 1973 to 2001.

Details

Journal of Quality in Maintenance Engineering, vol. 8 no. 3
Type: Research Article
ISSN: 1355-2511

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