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Human–computer interaction (HCI) is a cornerstone for the success of technical innovation in the logistics and supply chain sector. As a major part of social sustainability, this interaction is changing as artificial intelligence applications (Internet of Things, autonomous transport, Physical Internet) are implemented, leading to larger machine autonomy, and hence the transition from a primary executive to a supervisory role of human operators. A fundamental question concerns the level of control transferred to machines, such as autonomous vehicles and automatic materials handling devices. Problems include a lack of human trust toward automatic decision making or an inclination to override the system in case automated decisions are misperceived. This paper outlines a theoretical framework, describing different levels of acceptance and trust as a key HCI element of technology innovation, and points to the possible danger of an artificial divide at both the individual and firm level. Based upon the findings of four benchmark cases, a classification of the roles of human employees in adopting innovations is developed. Measures at operational, tactical, and strategic level are discussed to improve HCI, more in particular the capacity of individuals and firms to apply state‐of‐the‐art techniques and to prevent an artificial divide, thereby increasing social sustainability.
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Human–computer interaction (HCI) is a cornerstone for the success of technical innovation in the logistics and supply chain sector. As a major part of social sustainability, this interaction is changing as artificial intelligence applications (Internet of Things, autonomous transport, Physical Internet) are implemented, leading to larger machine autonomy, and hence the transition from a primary executive to a supervisory role of human operators. A fundamental question concerns the level of control transferred to machines, such as autonomous vehicles and automatic materials handling devices. Problems include a lack of human trust toward automatic decision making or an inclination to override the system in case automated decisions are misperceived. This paper outlines a theoretical framework, describing different levels of acceptance and trust as a key HCI element of technology innovation, and points to the possible danger of an artificial divide at both the individual and firm level. Based upon the findings of four benchmark cases, a classification of the roles of human employees in adopting innovations is developed. Measures at operational, tactical, and strategic level are discussed to improve HCI, more in particular the capacity of individuals and firms to apply state‐of‐the‐art techniques and to prevent an artificial divide, thereby increasing social sustainability.
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This book examines the ways in which universities can play a crucial role in inclusive development, social innovation and social entrepreneurship. It aims to prove the importance of inclusive development and inclusive innovation on economic growth and demonstrate the ways in which universities can be pioneers in this area through initiatives in social responsibility and social innovation. For example, providing access to a university education without discrimination of race, gender, income status, or other factors would help to diminish the increasing income differentials currently being experienced in many countries, especially in the developing world. The research and studies included in this book provide insight into possible actions that can be taken by universities and public and private shareholders in inclusive development, social innovation, social entrepreneurship and overall regional economic and social development.
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This book examines the ways in which universities can play a crucial role in inclusive development, social innovation and social entrepreneurship. It aims to prove the importance of inclusive development and inclusive innovation on economic growth and demonstrate the ways in which universities can be pioneers in this area through initiatives in social responsibility and social innovation. For example, providing access to a university education without discrimination of race, gender, income status, or other factors would help to diminish the increasing income differentials currently being experienced in many countries, especially in the developing world. The research and studies included in this book provide insight into possible actions that can be taken by universities and public and private shareholders in inclusive development, social innovation, social entrepreneurship and overall regional economic and social development.
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Sujet
- Développement social
- Développement inclusif (2)
- Entrepreneuriat social (2)
- Human–computer interaction (HCI) (2)
- Inégalités (2)
- Innovation inclusive (2)
- Innovation logistique (2)
- Innovation sociale (2)
- Innovation technique (2)
- Internet (2)
- Réservé UdeM (4)
- Rôle des universités (2)
- Université (2)
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- Article de revue (2)
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