Search results

This study aims to uncover managerial representations of achieving competitive advantage in architectural practices operating within the United Kingdom (UK).

A sequential qualitative methodology is applied, underpinned by nine managerial interviews in five architectural practices, which are analysed using computer-assisted qualitative data analysis software.

In all, 108 representations are identified, with highly rated concepts including reputation, client satisfaction, fees and staff resources discussed in detail. The need for architectural practices to develop a competitive advantage within their sector is increasingly apparent, particularly during times of market turbulence. A total of 20 themes identified are clustered into four main groups focused on People (including Calibre of Staff, Attract Graduates; Qualified Staff); Product (including Emphasis on design, Specialisation, Competitive Fees): Process (including Low Overheads, Office Efficiency) and Potential (Reputation, Ability to Undertake Large Projects, Repeat clients, Ability to expand, Parent Company, Market Understanding and New Offices).

Despite numerous studies conducted on this subject, there has been no research to date documenting managerial representation on achieving competitive advantage in the context of architectural practices in the UK. This paper closes this gap in knowledge by contributing to underlying research on competitive advantage, focusing on the managerial representations within UK architectural practices.

Many manufacturers are exploring adopting smart technologies in their operations, also referred to as the shift towards “Industry 4.0”. Employees' contribution to high-tech initiatives is key to successful Industry 4.0 technology adoption, but few studies have examined the determinants of employee acceptance. This study, therefore, aims to explore how managers affect employees' acceptance of Industry 4.0 technology, and, in turn, Industry 4.0 technology adoption.

Rooted in the unified theory of acceptance and use of technology model and social exchange theory, this inductive research follows an in-depth comparative case study approach. The two studied Dutch manufacturing firms engaged in the adoption of Industry 4.0 technologies in their primary processes, including cyber-physical systems and augmented reality. A mix of qualitative methods was used, consisting of field visits and 14 semi-structured interviews with managers and frontline employees engaged in Industry 4.0 technology adoption.

The cross-case comparison introduces the manager's need to adopt a transformational leadership style for employees to accept Industry 4.0 technology adoption as an organisational-level factor that extends existing Industry 4.0 technology user acceptance theorising. Secondly, manager's and employee's recognition and serving of their own and others' emotions through emotional intelligence are proposed as an additional individual-level factor impacting employees' acceptance and use of Industry 4.0 technologies.

Synthesising these insights with those from the domain of Organisational Behaviour, propositions were derived from theorising the social aspects of effective Industry 4.0 technology adoption.