Universität zu Köln

Ketter, Wolfgang, Schroer, Karsten and Valogianni, Konstantina ORCID: 0000-0001-6419-8675 . Information Systems Research for Smart Sustainable Mobility: A Framework and Call for Action. Inf. Syst. Res.. CATONSVILLE: INFORMS. ISSN 1526-5536

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Abstract

Transportation is a backbone of modern globalized societies. It also causes approximately one third of all European Union and U.S. greenhouse gas emissions, represents a major health hazard for global populations, and poses significant economic costs (e.g., due to traffic congestion). However, rapid innovation in vehicle technology, mobile connectivity, computing hardware, and artificial intelligence-powered information systems heralds a deep socio-technical transformation of the sector. The emergence of connected, autonomous, shared, and electric vehicle technology has created a digital layer that resides on top of the traditional physical mobility system. The resulting layered modular architecture is similar to that seen in other cyber-physical systems. Yet, it also comes with several characteristics and challenges that are unique to the domain of mobility and require entirely new solution approaches. Although other management and domain-specific research disciplines have started to embrace the new opportunities for research resulting from this deep structural change, the information systems (IS) community's involvement in smart mobility research has been marginal. Yet, we argue that our field's uniquely multidisciplinary, data-driven, and socio-technical research lens puts it in a strong position to address many of the large-scale societal challenges encountered in the mobility sector. Therefore, we make the case for IS research to play an active role in delivering a smart sustainable mobility ecosystem that is beneficial to users, mobility providers and the environment. We contribute a research framework to direct IS research efforts while providing a shared understanding of the smart sustainable mobility domain. We also present seven IS research opportunities along the dimensions of this framework and propose concrete angles of attack which we hope will spur an impactful and structured research agenda in the area.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Ketter, Wolfgang UNSPECIFIED UNSPECIFIED UNSPECIFIED Schroer, Karsten UNSPECIFIED UNSPECIFIED UNSPECIFIED Valogianni, Konstantina UNSPECIFIED orcid.org/0000-0001-6419-8675 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-677309
DOI:	10.1287/isre.2022.1167
Journal or Publication Title:	Inf. Syst. Res.
Publisher:	INFORMS
Place of Publication:	CATONSVILLE
ISSN:	1526-5536
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language DECISION-SUPPORT-SYSTEMS; LEARNING APPROACH; PREDICTIVE ANALYTICS; REAL-TIME; VEHICLE; MANAGEMENT; AUCTIONS; BEHAVIOR; CITIES; MODEL Multiple languages Information Science & Library Science; Management Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/67730