Logistics Innovation and Social Sustainability: How to Prevent an Artificial Divide in Human–Computer Interaction

Matthias Klumpp*, Henk Zijm

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)265-278
Number of pages14
JournalJournal of Business Logistics
Volume40
Issue number3
Early online date31 Jan 2019
DOIs
Publication statusPublished - Sep 2019

Fingerprint

Innovation
Logistics
Human-computer interaction
Social sustainability
Autonomy
World Wide Web
Technical innovation
Supply chain
Benchmark
Materials handling
Internet of things
Operator
Decision making
Interaction
Acceptance
Technology innovation
Employees
Artificial intelligence
Theoretical framework

Keywords

  • artificial intelligence
  • human-computer interaction
  • logistics performance
  • social sustainability

Cite this

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title = "Logistics Innovation and Social Sustainability: How to Prevent an Artificial Divide in Human–Computer Interaction",
abstract = "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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Logistics Innovation and Social Sustainability : How to Prevent an Artificial Divide in Human–Computer Interaction. / Klumpp, Matthias; Zijm, Henk.

In: Journal of Business Logistics, Vol. 40, No. 3, 09.2019, p. 265-278.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Logistics Innovation and Social Sustainability

T2 - How to Prevent an Artificial Divide in Human–Computer Interaction

AU - Klumpp, Matthias

AU - Zijm, Henk

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N2 - 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.

AB - 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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