“May the Force move you”: Roles and actors of information sharing devices in urban mobility

169

190

Through a systematic review of publications in reputed peer-reviewed journals, this paper investigates the role of blockchain technology in sustainable supply chain management. It uses the What, Who, Where, When, How, and Why (5W+1H) pattern to formulate research objectives and questions. The review considers publications since 2015, and it includes 187 papers published in 2017, 2018, 2019, and the early part of 2020, since no significant publications were found in the year 2015 or 2016 on this subject. It proposes a reusable classification framework—emerging technology literature classification level (ETLCL) framework—based on grounded theory and the technology readiness level for conducting literature reviews in various focus areas of an emerging technology. Subsequently, the study uses ETLCL to classify the literature on our focus area. The results show traceability and transparency as the key benefits of applying blockchain technology. They also indicate a heightened interest in blockchain-based information systems for sustainable supply chain management starting since 2017. This paper offers invaluable insights for managers and leaders who envision sustainability as an essential component of their business. The findings demonstrate the disruptive power and role of blockchain-based information systems. Given the relative novelty of the topic and its scattered literature, the paper helps practitioners examining its various aspects by directing them to the right information sources.

Section: Disruption/digital Transformationmentioning

confidence: 99%

Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework

Paliwal¹,

Chandra²,

Sharma³

2020

169

190

“…Normally, in every household, they could earn money by working on their own time, and not using their own car similarly in US, or China according to our interview. Third, if caring sharing platform companies expand their role as employers such as (1) providing insurance to drivers, (2) giving balance between freedom and responsibility to drivers, or 3) paying taxes to the government platform, etc., the carsharing industry will create new chances for industry in the fourth industrial revolution [62,63].…”

Section: Implication-environmental and Economical Sustainabilitymentioning

confidence: 99%

“…While the 20th century saw the beginning of the individual ownership era of the car, the sharing economy has arrived in the 21st century with diverse car-sharing models even though there are possibilities of the existence of digital divide and the socially unequal availability of the rede sharing initiatives [1,2]. Today, in the U.S., anybody can call a sharing car, identify the location of the car on a cyber map, pay without a card in hand, and evaluate the level of the sharing car driver from one to five stars [3].…”

Section: Introductionmentioning

confidence: 99%

“…In Europe, the early adopters of the car-sharing with the increase of information sharing devices in urban mobility have been largely motivated by diverse reasons such as environmental concerns and financial savings including excessive time for public transport, residential parking problems, major changes in the personal lives or mobility situations, or rising insurance costs or a lack of funds, to replace a vehicle [2,22]. The new floating car-sharing systems, such as Car2Go, can have environmental, social, and economic effects altogether, even though the effects can differ according to city characteristics or technological development [23].…”

Section: Introductionmentioning

confidence: 99%

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Business Model, Open Innovation, and Sustainability in Car Sharing Industry—Comparing Three Economies

Yun

Zhao

et al. 2020

This paper discusses dynamics and differences of business models in the car-sharing industry and focuses on open innovation as the trigger of diverse business models among Uber in the U.S., DiDi Chuxing in China, and KakaoT in Korea. We seek to answer the following two questions: What creates the differences in the business models of the car-sharing industry? Do the differences in open innovation motivate the diversity of business models among Uber, DiDi Chuxing, and KakaoT? We incorporated participatory observation, interviews, and semi-structured questionnaire methods in our study. We used two-step participatory observation and interview methods, hence carrying out observation and interviews two times by different researchers with Uber drivers in the U.S., DiDi-Chuxing drivers in Beijing, and KakaoT taxi drivers in Korea to confirm the interview and participatory observation results. First, business models of the car-sharing firms Uber, DiDi-Chuxing, and KakaoT are not fixed but rather are dynamically changing. Second, business models of car-sharing firms are the result of interaction with government regulations, the taxi industry, public transportation, and the automotive car industry. Third, open innovation strategies of car-sharing firms determine the contents and dynamics of car-sharing business models, such as the revenue business model, responsibility business model, and system business model upon interaction with four agencies.

“…Many researchers have studied two-sided matching problems from different perspectives, including matching type, the benchmarks of the matching scheme, and the processing of the preference ordinal information of both sides. Vecchio et al discussed the role that information has in shaping individual mobility choices, and how it may interact with individual preferences and Sustainability 2019, 11, 2187 5 of 16 needs [30]. Yousaf et al considered the personal preferences of the riders and the drivers so that they can have the best possible match along the dimensions of compatibility that will make the ride more pleasant [20].…”

Section: Literature Reviewmentioning

confidence: 99%

A Two-Sided Matching Model for Task Distribution in Ridesharing: A Sustainable Operations Perspective

Qin

Liu

et al. 2019

With regard to task distribution in a ridesharing company, both the suitability of the tasks assigned to the drivers and the acceptability of the riders receiving the service should be simultaneously considered to improve the sustainability regarding Hitch services. Firstly, the process of the bi-directional choice between the drivers and the riders is described as a one-to-one two-sided matching problem. Next, prospect theory is used to characterize the psychological perceived behavior of both sides towards the matching scheme under the multiple criteria. Thus, the suitability function concerning the drivers and the acceptability function regarding the riders are naturally constructed. Following this, a two-sided matching decision model with two objectives is proposed. Finally, numerical experiments are presented to verify the feasibility and effectiveness of the proposed model. Besides, managerial insights associated with how to set the optimization objectives under unbalanced supply-demand in ridesharing companies are given. Increasingly, this paper aims to not only validate the proposed methodology, but also to highlight the importance and urge of incorporating sustainability into the task distribution problem in ridesharing.