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Article
Publication date: 6 April 2020

Rajesh Rajaguru, Roshni Narendran and Gayathri Rajesh

Social loafing is a key inhibitor in group-based student learning and is a key challenge in administering group-based assessments in higher education. This study examines…

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Abstract

Purpose

Social loafing is a key inhibitor in group-based student learning and is a key challenge in administering group-based assessments in higher education. This study examines differences in the effects of antecedents of social loafing (disruptive behaviour, social disconnectedness and apathy) on work quality by comparing student-created and instructor-created groups. The study also investigates how group members' efforts to “pick up the slack” of social loafers in the two kinds of groups moderate the effect of antecedents of social loafing on work quality.

Design/methodology/approach

Post-graduate students from two different sessions of the Marketing Management unit participated in the study: 95 students from session 1 and 90 students from session 2. One session represented student-created groups and the other session represented instructor-created groups. Each group consisted of five students. Partial Least Square (PLS) estimation using SmartPLS was used to assess the direct and interaction effects.

Findings

The results indicate differences in the effects of the antecedents of social loafing such as apathy and disruptive behaviour on work quality for both student-created and instructor-created groups. Social disconnectedness was found to have no significant effect on work quality. Interestingly, the study found significant differences in the effects of “pick up the slack” on the work quality of student-created and instructor-created groups. Members of student-created groups who picked up the slack of social loafers improved the work quality for unit assessment. This effect was not significant for instructor-created groups.

Originality/value

Extant literature on social loafing predominantly focusses on its effect on students' work quality and educational achievement. This study contributes to the literature by investigating how the student-created and instructor-created group members' efforts to pick up the slack of social loafers moderate the effects of the antecedents of social loafing on work quality.

Details

Education + Training, vol. 62 no. 4
Type: Research Article
ISSN: 0040-0912

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Article
Publication date: 26 December 2024

Muhammad Faisal Aziz, J. Irudhaya Rajesh, Fazilat Jahan, Adela McMurrray, Nisar Ahmed, Roshni Narendran and Christian Harrison

In this era of rapid technological advancement, Artificial Intelligence (AI) has emerged as a crucial factor in reshaping organisational dynamics, notably in the realm of…

224

Abstract

Purpose

In this era of rapid technological advancement, Artificial Intelligence (AI) has emerged as a crucial factor in reshaping organisational dynamics, notably in the realm of leadership. This systematic literature review (SLR) aims to investigate the emerging relationship between AI and leadership, focussing on defining AI-powered leadership, identifying prevalent themes, exploring challenges, and uncovering research gaps within the relevant literature.

Design/methodology/approach

A sample of 73 papers was chosen after carefully applying the inclusion and exclusion criteria to 1,387 research articles that were initially sought. Using the methodological framework presented by Denyer and Tranfield (2009), our study adopted a four-step procedure to obtain insights from the corpus of literature. The papers were analysed by employing content and thematic analysis to address four key questions.

Findings

The review explores various definitions of AI-powered leadership proposed in the literature based on real-world situations. The study further synthesises significant themes in the existing literature, such as the past, present and future of AI and AI in various facets of organisational leadership, transitional management, and urban management. The review revealed a range of key challenges in AI-powered leadership, including ethical dilemmas, complications in human-AI interactions, hurdles in AI implementation within leadership contexts, and long-term risks associated with AI integration. In addition, this study identified areas within AI-powered leadership research that require further investigation by revealing significant research gaps in the papers.

Originality/value

By adopting a comprehensive approach, this research advances understanding of the complex relationship between AI and leadership dynamics, thus facilitating comprehension of the current body of knowledge and enabling future scholarly investigations in the AI-powered leadership domain.

Details

Journal of Managerial Psychology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0268-3946

Keywords

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Article
Publication date: 1 August 2016

Narendranathan Maniyalath and Roshni Narendran

Past research has identified a negative association between national income and female entrepreneurship rates. Data from Global Entrepreneurship Monitor (GEM) 2012 are analyzed to…

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Abstract

Purpose

Past research has identified a negative association between national income and female entrepreneurship rates. Data from Global Entrepreneurship Monitor (GEM) 2012 are analyzed to determine whether the Human Development Index (HDI) predicts female entrepreneurship rates. The purpose of this paper is to indicate how other socioeconomic variables that measure human development interact with national income to predict female entrepreneurship rates.

Design/methodology/approach

Data were drawn from the 2012 GEM data set, which provides information on female entrepreneurship rates in 61 countries. To test relevant hypotheses, dependent and socio-demographic variables were sourced from international databases to perform quantitative cross-country regression analyses.

Findings

National income significantly predicted female entrepreneurship rates in the univariate analysis. However, this relationship became non-significant when development indices were added to the model. In contrast, the HDI, the Gender Inequality Index, and national religious composition were robust, significant predictors.

Practical implications

This study presents evidence that human and gender development indices, and national religious composition, are better predictors of female entrepreneurship rates than national income. Thus, studies on female entrepreneurship rates should account and adjust for human development and gender equality indices. As religiosity continues to be pervasive within multiple nations, policymakers should consider this when developing interventions geared toward promoting female entrepreneurship.

Originality/value

This paper identifies factors other than economic determinism to explain variance in female entrepreneurship rates and demonstrates that human development and gender inequality indices are better predictors of female entrepreneurship rates.

Details

International Journal of Entrepreneurial Behavior & Research, vol. 22 no. 5
Type: Research Article
ISSN: 1355-2554

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