A multi-criteria decision model for stakeholder management in city logistics

Katsela, Konstantina; Pålsson, Henrik

doi:10.1016/j.rtbm.2020.100439

Cited by 16 publications

(11 citation statements)

References 29 publications

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“…UL stakeholders have a stake in UL initiatives, which can be either an interest such as a situation where an organization is affected, or a right, as with situations where an organization needs to be treated in a specific way based on their legal claims (Katsela and Pålsson, 2019). To overcome this problem of diverse stakes and achieve large-scale UL implementations, it is necessary to know, engage, and manage stakeholders and their individual stakes (Dolati Neghabadi et al, 2019).…”

Section: Stakeholders and Their Involvement In Urban Logistics Initia...mentioning

confidence: 99%

“…To date, however, business model analysis has only rarely been applied (Zenezini et al, 2019). Specialized tools for UL initiatives, such as the altered business model canvas presented by Katsela and Pålsson (2016) Therefore, the next section provides an overview of implementation research in general, as well as the specific context of ULS implementation.…”

Section: Stakeholders and Their Involvement In Urban Logistics Initia...mentioning

confidence: 99%

“…Allows for integration with AT (e.g., Kosnik and Bettenhausen (1992) (Gammelgaard et al, 2017) or prioritize stakeholder motives (Katsela and Pålsson, 2016).…”

Section: Contingency Theory (Ct)mentioning

confidence: 99%

See 2 more Smart Citations

Implementation of Urban Logistics Systems

Preindl¹

2022

Supply Chain Management

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Section: Stakeholders and Their Involvement In Urban Logistics Initia...mentioning

confidence: 99%

Section: Stakeholders and Their Involvement In Urban Logistics Initia...mentioning

confidence: 99%

See 1 more Smart Citation

Implementation of Urban Logistics Systems

Preindl¹

2022

Supply Chain Management

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“…With the increasing number of vehicles on roads [13][14][15], the problems of pollution, congestion, emissions, noise, and road safety are also increasing [16,17]. To address these challenges in a sustainable way, city or urban logistics initiatives are launched to test different new concepts [18,19]. In literature, urban and city logistics are used interchangeably [20].…”

Section: Introductionmentioning

confidence: 99%

“…System Dynamics (SD) was adopted in Mangano et al [24] and Le Pira et al [26]. Katsela and Pålsson [18] and Marcucci et al [27] employed agent-based modelling (ABM) and the discrete choice method (DCM) while proposing the respective models. Recently, Singh et al [11] proposed a framework for the involvement of stakeholders in logistics, demonstrating a growing interest for participatory modelling in urban and production logistics.…”

Section: Introductionmentioning

confidence: 99%

Simulation-Based Participatory Modelling in Urban and Production Logistics: A Review on Advances and Trends

2021

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Simulation-based participatory modelling allows integration of all types of knowledge including empirical, technical and scientific from all disciplines and domains. Thus, in recent years, the use of participatory modelling has been continuously increasing in many fields including logistics. With a view of achieving better understanding of the subject, this article systematically reviews the advances made in participatory modelling in the field of urban and production logistics in the last decade. It further reports the findings transparently following a categorization based on (i) the purpose of participatory modelling in the domain, and (ii) depending on the purpose how data is collected, processed and outcomes are presented. The review resulted in 97 articles which were analysed and categorized based on the above two questions formulated in the literature surveyed. The review revealed that apart from the three existing categories of purposes, namely, reflexive, descriptive and normative there is an emerging fourth category that was analytical in nature and 15 out of 97 articles analyzed belonged to this category. The authors decided to call this category analytical field empirical modelling which is primarily based on mathematical modelling and use of computational methods. We present these results with the help of a categorization. During the analysis for the second research question, we discovered that though the conventional ways of data collection and processing, such as interviews and workshops, which remain significantly present, in electronic data crowdsourcing and data processing via computational methods are emerging.

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