The complexity of value of travel time for self-driving vehicles – a morphological analysis

Nordström, Maria; Engholm, Albin

doi:10.1080/03081060.2021.1919349

Cited by 5 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In fact, scenario planning stimulates strategic thinking and helps to overcome thinking limitations by creating multiple futures [9]. Though, in the literature, there are various scenario modeling techniques, morphological analysis (MA) is the most used explorative tool [10,11]. Developed for scenario modeling in defense planning and used by researchers in the field of future studies and technological forecasting, MA can be used to visualize elements and dimensions to develop raw scenarios for the future [10].…”

Section: Introductionmentioning

confidence: 99%

“…Though, in the literature, there are various scenario modeling techniques, morphological analysis (MA) is the most used explorative tool [10,11]. Developed for scenario modeling in defense planning and used by researchers in the field of future studies and technological forecasting, MA can be used to visualize elements and dimensions to develop raw scenarios for the future [10]. The purpose of a MA is to identify and structure all possible aspects and solutions in situations where the problem space is complex and non-reducible [11].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling Sustainable Risks Mitigation Strategies Using a Morphological Analysis-Based Approach: A Real Case Study

2021

View full text Add to dashboard Cite

The supply chain risk management (SCRM) is very critical to strategically support the firms to continuous success. There are, at least, three basic steps in this SCRM process: risk identification, risk evaluation, and risk mitigation (treatment). Whatever happens, the main step is risk mitigation (RM) and mainly sustainable RM. In fact, every risk must be eliminated or controlled as much as possible. The purpose of this paper is to elaborate and evaluate various RM scenarios from an initial risk identification and prioritization solution. The proposed scenario modeling technique is based on morphological analysis (MA) as an explorative scenario tool for RM. MA is used to develop a framework to proactively assess critical risk variables. Firstly, MA is employed to exhaustively create possible RM scenarios and, secondly, to assess the likelihood of each scenario. The proposed approach addresses the need for a basic rubric to help identify and choose RM approaches. A real case study is provided from the food industry to illustrate the application of the proposed approach. To handle all possible MA strategies, a dedicated MORPHOL software package is used. In addition, RM strategies are selected based on sustainability indicators. The case study results prove that MA has a considerable value for SCRM. It shows that firms can adopt multiple robust strategies in the form of a scenario describing all stages of SCRM in an integrated representation.

show abstract