Search results

1 – 2 of 2
Article
Publication date: 10 January 2024

Kareem Folohunso Sani and Toyin Ajibade Adisa

The extant literature on work–life balance (WLB) has generally overlooked the interrelationship between leadership and WLB. Does leadership have any impact on employees' use of…

Abstract

Purpose

The extant literature on work–life balance (WLB) has generally overlooked the interrelationship between leadership and WLB. Does leadership have any impact on employees' use of WLB policies and practices? To answer this question, this article considers the social exchange theory as well as transformational and transactional leadership in an investigation of the impact of leadership on WLB.

Design/methodology/approach

The study employs qualitative data from 32 semi-structured interviews to achieve the study’s objectives.

Findings

The research reveals that leadership does matter in WLB. The study findings reveal that both the transactional and transformational leadership styles result in the establishment of strong reciprocal relationships between leaders and employees in terms of using WLB policies and practices. Managers only sanction the use of WLB policies and practices only as a reward for excellent performance or when they are completely sure the outcome will favour the organisation. The study concludes that the desire to achieve WLB has often led many employees to go the extra mile in carrying out their work duties, which is rewarded with an approval to use WLB policies and practices. These non-contractual exchanges emphasise reciprocity and are based on trust.

Research limitations/implications

The extent to which the findings of this research can be generalised is constrained by the size and nature of the research sample.

Practical implications

Many managers are transactional leaders, and they purposefully allow their employees to use WLB policies and practices only as a reward for meeting targets and for excellent performance. This means that employees who fall short of the required targets and expected performance are not permitted to use WLB policies and practices. This finding implies that such employees experience incessant work–family conflict, which may have negative implications for their work engagement, overall well-being and work performance.

Originality/value

This study demonstrates that leadership is relevant to WLB. It shows that transformational leadership is supportive of WLB, as it considers employees' work performance and non-work outcomes. The results and practical implications of this study aids the understanding of the non-contractual exchanges involved in manager–employee relationships, which is crucial for ensuring employees' achievement of WLB and for organisations to achieve their goals.

Details

Employee Relations: The International Journal, vol. 46 no. 2
Type: Research Article
ISSN: 0142-5455

Keywords

Open Access
Article
Publication date: 4 December 2023

Ignat Kulkov, Julia Kulkova, Daniele Leone, René Rohrbeck and Loick Menvielle

The purpose of this study is to examine the role of artificial intelligence (AI) in transforming the healthcare sector, with a focus on how AI contributes to entrepreneurship and…

1065

Abstract

Purpose

The purpose of this study is to examine the role of artificial intelligence (AI) in transforming the healthcare sector, with a focus on how AI contributes to entrepreneurship and value creation. This study also aims to explore the potential of combining AI with other technologies, such as cloud computing, blockchain, IoMT, additive manufacturing and 5G, in the healthcare industry.

Design/methodology/approach

Exploratory qualitative methodology was chosen to analyze 22 case studies from the USA, EU, Asia and South America. The data source was public and specialized podcast platforms.

Findings

The findings show that combining technologies can create a competitive advantage for technology entrepreneurs and bring about transitions from simple consumer devices to actionable healthcare applications. The results of this research identified three main entrepreneurship areas: 1. Analytics, including staff reduction, patient prediction and decision support; 2. Security, including protection against cyberattacks and detection of atypical cases; 3. Performance optimization, which, in addition to reducing the time and costs of medical procedures, includes staff training, reducing capital costs and working with new markets.

Originality/value

This study demonstrates how AI can be used with other technologies to cocreate value in the healthcare industry. This study provides a conceptual framework, “AI facilitators – AI achievers,” based on the findings and offer several theoretical contributions to academic literature in technology entrepreneurship and technology management and industry recommendations for practical implication.

Details

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

Keywords

1 – 2 of 2