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Book part
Publication date: 10 December 2018

Jamie Lakey

I am a bike-sharing activist at New Mexico State University (NMSU) and am using quantum storytelling, as well as ethnographic, methods to study its bike-sharing

Abstract

I am a bike-sharing activist at New Mexico State University (NMSU) and am using quantum storytelling, as well as ethnographic, methods to study its bike-sharing implementation process. Moreover, quantum storytelling is, by its very nature, an intervention into the process it observes and, in this case, utilized as a means to encourage the university-governing entities to support and fund a bike-sharing program. Quantum storytelling is formally defined as “the interplay of quantum understandings with storytelling processes,” including their counternarratives (Boje, 2014, p. 100). It is not human dramatic action simply put into text or context. Rather, it is establishing a pattern of assemblages of actants – human, nonhuman (animals, plants, etc.), and material (in this case, bikes, paths, and so on) – and providing a storytelling that accounts for their inseparable spacetimemattering (Boje, 2014; Boje & Henderson, 2014). Additionally, quantum storytelling helps make explicit what Heidegger (1962) calls fore-having, fore-structuring, fore-conception, fore-telling, and fore-caring (as developed Boje, Svane, & Gergerich, in review). It allows for antenarrative preview of the way to operationalize bike-sharing through visual media, including pictures, documents, five-year plans, campus maps, bikes, and the riders themselves. Through this presentation, I will show embodied practices stemming from quantum storytelling, and do so using both a Barthean S/Z and Bojean antenarrative analysis of the bikeshare implementation process.

Details

The Emerald Handbook of Quantum Storytelling Consulting
Type: Book
ISBN: 978-1-78635-671-0

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Article
Publication date: 2 June 2020

Fu Jia, Dun Li, Guoquan Liu, Hui Sun and Jorge E. Hernandez

This study explores how sharing platforms achieve platform loyalty through various operation management strategies.

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1016

Abstract

Purpose

This study explores how sharing platforms achieve platform loyalty through various operation management strategies.

Design/methodology/approach

A multiple case study method has been conducted in two Chinese sharing economy industries: ride- and bike-sharing. Data were collected through 30 semi-structured interviews with managers from four platform companies (DiDi, Uber China, ofo and Mobike). Individual case studies were developed from the triangulation of all existing data. Concurrent with the development of these individual case studies was a cross-case analysis. Emerging patterns have been identified and compared to previous findings in the literature to build upon and modify the existing knowledge base and to formulate a series of propositions.

Findings

Platform asset characteristics and mergers and acquisitions affect supply network readiness and operational capacity, respectively, and this effect would consequently contribute to achieving platform loyalty through user satisfaction. Moreover, externality, as a moderator, may influence the strength of the relationship between satisfaction and platform loyalty.

Practical implications

The proposed theoretical model provides an overarching framework for sharing platform companies to design and operate their businesses while carefully examining the situations, contexts and actions of users and other stakeholders and choosing an appropriate strategic mechanism to drive platform growth.

Originality/value

This study is one of the first to empirically explain how firms in a sharing economy sector could gain platform loyalty by adopting an expectation–confirmation theory perspective.

Details

International Journal of Operations & Production Management, vol. 40 no. 7/8
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 4 September 2020

Shuyan Zhao, Jie Xiong, Seong-Young Kim, Lu Xu and Jie Yan

Buoyed by the desire to reduce carbon dioxide emissions and develop sustainable urban transportation, the dockless bike-sharing industry boomed in China during 2017–2018…

Abstract

Purpose

Buoyed by the desire to reduce carbon dioxide emissions and develop sustainable urban transportation, the dockless bike-sharing industry boomed in China during 2017–2018. To the surprise of the stakeholders, this industry dramatically ebbed in 2019. The dockless bike-sharing system deviated from a problem-solver to a troublemaker in a very short period. The oversupplied and excessively discarded shared bikes caused a big waste of resources and serious pollution to the environment. In this paper, the decision-making of the key players of the industry, i.e. business operators, investors, customers and government, is analyzed through the lens of the cognitive bias. This paper aims to illuminate the process of how this innovative transport solution turned to a disastrous ending, which caused damage to urban environment and financial loss to investors.

Design/methodology/approach

In this study, a qualitative analysis based on the rich secondary data sources is conducted. A rich amount of qualitative data including news reports, government policies, consulting reports and companies’ annual reports etc. were collected.

Findings

The study shows, in the product introduction period, the government, business operators, investors and consumers fell into the cognitive bias. They over focused on the positive side such as high-tech, eco-friendly, convenient image of the dockless bike-sharing solution. Thereby, the key stakeholders made irrational decisions in product adoption and management. This study moves toward increasing key stakeholders’ awareness of the imperative to reduce these biases when promoting eco-innovations. This study also recommends a prudent attitude with a rational and comprehensive thinking style in dealing with eco-innovation and the emerging sharing economy.

Originality/value

To solve the cognitive biases, this study recommends that people use rational decision-making style to examine and adopt the dockless bike-sharing solutions. Practical recommendations to tackle the existing recycling crisis of the dockless bike-sharing industry are also discussed.

Details

Journal of Business Strategy, vol. 42 no. 5
Type: Research Article
ISSN: 0275-6668

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Article
Publication date: 17 March 2020

Steven Si, Hui Chen, Wan Liu and Yushan Yan

The purpose of this study is to connect disruptive innovation and sharing economy by exploring the underlying mechanisms of how a disruptive innovation–based business…

Abstract

Purpose

The purpose of this study is to connect disruptive innovation and sharing economy by exploring the underlying mechanisms of how a disruptive innovation–based business project creates, delivers and captures value in sharing economy through analyzing the case of bike sharing in China.

Design/methodology/approach

An elaborate case study is used to unfold the process as well as the underlying mechanism and relationships among disruptive innovation, business model, bike-sharing business and value creation in sharing economy.

Findings

Bike sharing case fits well in disruptive innovation theory. Its low price and great convenience have led to rapid development in China. However, failures to improve their products and services and build an effective business model which can create, deliver and capture value have caused the failure of many bike-sharing companies. Other factors such as strategic decision-making, internal management problems, external conflicts as well as uncivilized consumer behaviors have also inhibited the sustainable development of bike-sharing companies.

Originality/value

The theoretical contributions of this study include the following: to explore how a disruptive innovation–based business creates, delivers and captures value successfully in sharing economy. This study contributes to both research and practice on disruptive innovation and sharing economy.

Details

Management Decision, vol. 59 no. 11
Type: Research Article
ISSN: 0025-1747

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Article
Publication date: 29 August 2019

Shang Gao, Ying Li and Hong Guo

This study aims to investigate users’ adoption of bike sharing systems in China.

Abstract

Purpose

This study aims to investigate users’ adoption of bike sharing systems in China.

Design/methodology/approach

This research combined perceived risk factors with existing technology diffusion theories (e.g. technology acceptance model and unified theory of acceptance and use of technology) to develop a research model to examine users’ adoption of bike sharing systems in China. As a result, a research model with 11 hypotheses was developed. The developed research model was empirically tested using data collected from a survey of 298 users in China. Structural equation modeling was used to analyze the collected data.

Findings

The findings indicated that perceived usefulness, facilitating conditions and perceived risks were important determinants to the adoption of bike sharing systems. However, perceived ease of use and social influence did not have significant positive impacts on users’ behavioral intention to use bike sharing systems.

Practical implications

It is important for service providers to dedicate their time and efforts in maintaining and repairing bikes to ensure that the bikes are in a good condition to be used. System providers need to work on good solutions to better protect users’ personal information and location information.

Originality/value

This study is first of its kinds in investigating the adoption of bike sharing systems by combining technology diffusion theories and perceived risk theory in China.

研究目的

本论文旨在研究用户在中国使用共享单车系统的情况。

研究设计/方法/途径

本论文结合感知风险因素和多个技术扩散理论(比如TAM, UTAUT)来开发一个研究模型, 以研究用户在中国使用共享单车系统的情况。因此, 本论文用十一条假设搭建了一个研究模型。这个研究模型使用问卷采样方式, 收取298份中国用户问卷, 来进行测量。样本通过结构方程模型来进行分析测量。

研究结果

研究结果表明, 感知实用性、辅助条件、感知风险等是重要因素, 决定着共享单车系统的使用。然而, 方便使用和社会影响等因素对用户使用共享单车系统的意向并没有显著积极影响。

论文类型

研究型论文

研究实践意义

服务提供者投入时间和精力来维护维修单车是非常重要的, 这样能保证单车保持在良好的状态以备用户使用。系统供应商需要找到好的解决方式, 来更好地保护个人信息和地点信息。

研究原创性/价值

本论文是首个类似论文, 结合技术扩散理论和感知风险理论, 在中国研究共享单车系统的使用情况。

关键词

UTAUT, TAM, 感知风险, 共享单车系统,使用

Details

Journal of Hospitality and Tourism Technology, vol. 10 no. 3
Type: Research Article
ISSN: 1757-9880

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Article
Publication date: 10 April 2020

Hong Yang, Yimei Hu, Han Qiao, Shouyang Wang and Feng Jiang

The purpose of this paper is to elaborate on the interactive conflicts between business and governmental authorities in the regulatory process of an emerging business…

Abstract

Purpose

The purpose of this paper is to elaborate on the interactive conflicts between business and governmental authorities in the regulatory process of an emerging business model: sharing economy. Focusing on bike sharing system, the study also investigates the conflict-handling strategy of bike sharing companies and government regulation.

Design/methodology/approach

An evolutionary game model is introduced to illustrate the interactive conflict between bike sharing companies and government regulation, combined with system dynamics (SD) to simulate the evolutionary conflict-handling strategies between the two players.

Findings

The dynamic strategies of the two players are observed, and under five conditions the conflict outcomes are evolutionary stable states. Simulations show that each party sacrifices part of its interest and adjust its strategy according to that of the other, indicating the conflict-handling strategy as a compromising mode. Furthermore, the strategies of bike sharing companies are sensitive to additional operation and maintenance costs for producing low-quality bicycles and costs of positive regulation, which provides theoretical guidance for regulatory authorities.

Originality/value

The station-less bike sharing come up in China recently, and it is an important research field of entrepreneurship. Owing to the uniqueness and novelty of the phenomenon, conflicts and challenges exist during the regulation process. Thus, the study practically contributes to the conflict-handling strategies of businesses and government under the context of sharing economy. Methodologically, as a novel issue with less available data to carry out empirical research, this study combines evolutionary game theory with SD to shed light on the complex interactions between businesses and government. The research method can be applied to other entrepreneurial studies.

Details

International Journal of Conflict Management, vol. 31 no. 3
Type: Research Article
ISSN: 1044-4068

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Case study
Publication date: 8 April 2021

Wiboon Kittilaksanawong and Huijing Liu

Students will be able to analyse competitive situations of the focal firm in the platform market, factors that make the focal firm become dominant in the sharing economy…

Abstract

Learning outcomes

Students will be able to analyse competitive situations of the focal firm in the platform market, factors that make the focal firm become dominant in the sharing economy through the technology platform and the focal firm’s motives and growth strategies through mergers and acquisitions and overseas expansion, as well as give recommendations on the focal firm’s strategies to move forward to achieve and maintain its competitive position in the platform market.

Case overview/synopsis

On 4th April, 2018, Meituan-Dianping (Meituan), a Chinese group-buying website for consumer products and retail services acquired Mobike, a Chinese dockless bike-sharing platform for US$2.7bn. Mobike had raised several rounds of funding for its large investments and operations in this highly competitive and cash-intensive industry. However, it was still struggling to survive and make a profit in the Chinese and overseas markets. It was believed that the merger between the companies was the only viable alternative. Had Meituan’s Chief Executive Officer made the right decision in acquiring Mobike? After Mobike became an integral part of Meituan, what should be done to turn this technology platform to be profitable in the Chinese and overseas market?

Complexity academic level

The case is intended for senior undergraduate or graduate-level courses in business schools.

Supplementary materials

Teaching Notes are available for educators only.

Subject code

CSS 11: Strategy.

Details

Emerald Emerging Markets Case Studies, vol. 11 no. 1
Type: Case Study
ISSN: 2045-0621

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Article
Publication date: 1 December 2020

Maria Giovina Pasca, Roberta Guglielmetti Mugion, Martina Toni, Laura Di Pietro and Maria Francesca Renzi

Bike sharing (BS) is a phenomenon of growing interest in the sustainable mobility field. In recent years, many governments have implemented concrete actions to diffuse the…

Abstract

Purpose

Bike sharing (BS) is a phenomenon of growing interest in the sustainable mobility field. In recent years, many governments have implemented concrete actions to diffuse the services in cities, trying to encourage citizens' sustainable behavior. Several mobile applications (apps) related to the mobility sector have embedded gamification mechanics applied in non-gaming contexts, able to create and increase user engagement and to manage users' behavior (Deterding et al., 2011). The main purpose of this study is to understand whether app perception influences gamification, and how gamification improves service quality and user loyalty in BS systems.

Design/methodology/approach

To examine the impact of gamification on service quality and loyalty, the study performed secondary data collection and qualitative analysis with in-depth interviews. Thereafter, a quantitative analysis was conducted, and the theoretical model was analyzed through structural equation modeling (SEM).

Findings

findings showed that the use of gamification mechanics in BS services improves users' loyalty and directly influences service quality. The gamification tool improves users' engagement, transferring rules, facilitating the achievement of goals and quality standards and enhancing the BS usage.

Originality/value

This study uniquely contributes an understanding of the effect of gamification on service quality and loyalty in BS usage. It also provides some insight for companies and policymakers into implementing gamification mechanics in order to address new challenges for quality management.

Details

The TQM Journal, vol. 33 no. 6
Type: Research Article
ISSN: 1754-2731

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Article
Publication date: 14 August 2020

Leonard Wong, Lyon Tan, Rachel Wong and Su Lin Yeo

The overnight introduction of tens of thousands of dockless bike-share bicycles in Singapore with its indiscriminate parking drew the attention of the media, which…

Abstract

Purpose

The overnight introduction of tens of thousands of dockless bike-share bicycles in Singapore with its indiscriminate parking drew the attention of the media, which generated extensive news reports on the activities carried out by bike-sharing operators. Given the meteoric rise and fall of the industry, this study examines the influence of agenda-setting of news reporting on the public’s perception of the industry and the impact on the firms’ corporate reputation.

Design/methodology/approach

Utilizing the Reputation Quotient Index, the study content analyzed 147 textual data of online reports which were crawled over two years between 2017 and 2018 from six mainstream news organizations.

Findings

Our findings showed that the news reports carried more negative frames in the headlines and body content. It also found that only five out of six dimensions of the Index were emphasized with varying degrees of importance, indicating that the corporate reputation as determined by the media reports did not collectively represent the operators’ past actions and results with valued outcomes.

Practical implications

Practical implications discussed included the need to integrate corporate strategies into public relations programs and the importance of engaging the media to demonstrate congruence between business objectives and positive social impact on society.

Originality/value

Although the study limited its data collection only to online media reports, it is one of the few research to provide empirical evidence concerning the media’s influence on the public’s perceptions and reputation of the nascent bike-sharing industry.

Details

Corporate Communications: An International Journal, vol. 26 no. 1
Type: Research Article
ISSN: 1356-3289

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Article
Publication date: 19 March 2021

Adrian Ramirez-Nafarrate, Luis Antonio Moncayo-Martinez and Gerardo Steve Munguía-Williams

This paper aims to propose an alternate, efficient and scalable modeling framework to simulate large-scale bike-sharing systems using discrete-event simulation. This study…

Abstract

Purpose

This paper aims to propose an alternate, efficient and scalable modeling framework to simulate large-scale bike-sharing systems using discrete-event simulation. This study uses this model to evaluate several initial bike inventory policies inspired by the operation of the bike-sharing system in Mexico City, which is one of the largest around the world. The model captures the heterogeneous demand (in time and space) and this paper analyzes the trade-offs between the performance to take and return bikes. This study also includes a simulation-optimization algorithm to determine the initial inventory and present a method to deal with the bias caused by dynamic rebalancing on observed demand.

Design/methodology/approach

This paper is based on the analysis of an alternate and efficient discrete-event simulation modeling framework. This framework captures the heterogeneity of demand and allows one to experiment with large-scale models. This study uses this model to test several initial bike inventory policies and also combined them with an optimization engine. The results, provide valuable insights not only for the particular system that motivated the study but also for the administrators of any bike-sharing system.

Findings

The findings of this paper include: most of the best policies use a ratio of bikes: docks near to 1:2; however, it is important the way they are initially allocated; a policy that contradicts the demand profile of the stations can lead to poor performance, regardless the quick and dynamic changes of bike locations during the morning period; the proposed simulation-optimization algorithm achieves the best results.

Research limitations/implications

The findings are limited to the initial inventory of the system under study. The model assumes a homogeneous probability distribution function for the travel time. This assumption seems reasonable for the system under study. This paper limits the tested inventory policies to simple practical rules. There might be other sophisticated methods to obtain better solutions, but they might be system-specific.

Practical implications

The insights of this paper are valuable for operators of bike-sharing systems because this study focuses on the analysis of the impact of the initial inventory assuming that dynamic rebalancing may not be existing during the morning peak-time. This paper finds that initial inventory has a great impact on the performance, regardless of how quickly the bikes are dispersed across the system. This study also provides insights into the effect of dynamic rebalancing on observed demand.

Social implications

Increasing knowledge about the operation of the bike-sharing system has a positive effect on society because more cities around the world could consider implementing these systems as a public transportation mode. Furthermore, delivering suggestions on how to increase the user service level could incentivize people to adopt bikes as a mobility option, which would contribute to improve their health and also reduce air pollution caused by motorized vehicles.

Originality/value

This paper considers that the contributions of this work to existing literature are the following: this study proposes a novel efficient and scalable simulation framework to evaluate initial bike inventory policies; the analysis presented in the paper includes an approach to deal with the bias in the observed demand caused by dynamic rebalancing and the analysis includes the value of demand information to determine an effective initial bike inventory policy.

Details

Journal of Modelling in Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5664

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