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1 – 10 of over 1000N. Muthukumar, K. Ganesh, Sanjay Mohapatra, K. Tamizhjyothi, R. M. Nachiappan and M. Bharati
Marie Molitor and Maarten Renkema
This paper investigates effective human-robot collaboration (HRC) and presents implications for Human Resource Management (HRM). A brief review of current literature on HRM in the…
Abstract
This paper investigates effective human-robot collaboration (HRC) and presents implications for Human Resource Management (HRM). A brief review of current literature on HRM in the smart industry context showed that there is limited research on HRC in hybrid teams and even less on effective management of these teams. This book chapter addresses this issue by investigating factors affecting intention to collaborate with a robot by conducting a vignette study. We hypothesized that six technology acceptance factors, performance expectancy, trust, effort expectancy, social support, organizational support and computer anxiety would significantly affect a users' intention to collaborate with a robot. Furthermore, we hypothesized a moderating effect of a particular HR system, either productivity-based or collaborative. Using a sample of 96 participants, this study tested the effect of the aforementioned factors on a users' intention to collaborate with the robot. Findings show that performance expectancy, organizational support and computer anxiety significantly affect the intention to collaborate with a robot. A significant moderating effect of a particular HR system was not found. Our findings expand the current technology acceptance models in the context of HRC. HRM can support effective HRC by a combination of comprehensive training and education, empowerment and incentives supported by an appropriate HR system.
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Ida Marie Tvedt and Kine Agnethe Dyb
This paper aims to highlight the need to place focus on ensuring soft factors in construction projects’ design management and to discuss whether soft factors are hidden success…
Abstract
Purpose
This paper aims to highlight the need to place focus on ensuring soft factors in construction projects’ design management and to discuss whether soft factors are hidden success factors.
Design/Methodology/Approach
The presented data is a result of findings from two master theses. The approach is qualitative research and consists of nine semi-structured interviews with design managers and two case studies involving document analyses, meeting observations and descriptions of seven interviews.
Findings
This empirical study demonstrates that soft factors are considered important for design managers’ achievement of a successful design process. Focus on soft factors promotes good communication and will improve team performances. Factors are hidden because they are invisible and immeasurable. Furthermore, soft factors are not defined as assigned tasks and are, therefore, easily neglected. Designers are hesitant to explore the possibilities of new technology owing to the fear that they will forfeit human interaction.
Research Limitations/Implications
This paper is limited to the presentation of empirical findings. Therefore, theory is not a basis for the study but rather a framework for the discussion.
Practical Implications
The results in this paper broaden the understanding of human behaviour during the design phase. This knowledge should be considered when the project’s delivery model is designed as it will safeguard actor concerns during the ongoing technological transformation.
Originality/Value
This paper contributes knowledge of the view regarding soft factors among project actors. It expands the traditional understanding of value by adding soft factors to the traditional success measures of time, quality and cost.
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