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The purpose of this study is to investigate the motivations and barriers behind the adoption of bike-sharing services, explore the influence of individual values and environmental knowledge on bike-sharing adoption and analyze the relationship between reasons, attitude and intention to utilize bike-sharing.

The study initially conducted a semi-structured interview with 19 bike-sharing users and performed a thematic analysis to identify the context-specific motivators and barriers. The identified factors were then incorporated into the behavioral reasoning theory (BRT) framework and quantitatively examined using the data gathered from 412 Indian bike-sharing users.

The findings outlined the complex reasoning process underlying bike-sharing adoption and how environmental value and attitude are related to the reasons. Further, the study examined the moderating impact of environmental knowledge, which was overlooked in previous studies.

The study provides valuable suggestions to bike-sharing businesses, which helps them to induce facilitators and remove barriers.

Behavioral research in bike-sharing is in its embryonic stage. This is one of the initial attempts to address this knowledge deficit by comprehensively examining the factors affecting bike-sharing intention through the theoretical lens of BRT.

This study aims to explore the essential factors of the reason for (RF) and reason against (RA) and their impact on tourist attitudes and intentions to use e-bike sharing services by using a novel approach based on behavioral reasoning theory (BRT).

A quantitative method was used to collect data from 292 tourists and analyze the data using the partial least squares structural equation modeling (PLS-SEM) technique.

The outcomes indicate that both “RF” and “RA” are crucial in affecting tourist attitudes and intentions to use e-bike-sharing services. In addition, factors such as convenience, price saving and time saving were identified as “RF” while “RA” weather conditions, safety concerns and image barriers were identified that affect tourist attitudes and intention to use e-bike sharing services. These findings also indicate that tourists’ values of openness to change significantly influence “RF” and have no impact on “RA” and attitude toward e-bike-sharing services.

This study provides valuable insights that complement the existing literature on electric bike sharing and BRT in the context of promoting sustainable and eco-friendly consumption.

This research takes a significant step forward in investigating the tourist attitudes and intentions toward using e-bike sharing services in a tourist destination growing economy by using the BRT theory and proposing a model that considers both the “RF” and “RA” using e-bikes for urban transportation.

本研究旨在利用基于 BRT 的新方法, 探讨使用电动自行车共享服务的支持原因（RF）和反对原因（RA）的基本因素及其对游客使用电动自行车共享服务的态度和意图的影响。

采用定量方法收集 292 名游客的数据, 并使用 PLS-SEM 技术分析数据。

结果表明“RF”和“RA”对于影响游客使用电动自行车共享服务的态度和意图至关重要。此外, 方便、节省价格和节省时间等因素被确定为“RF”, 而“RA”则被确定为影响游客态度和使用电动自行车共享服务意愿的天气条件、安全问题和形象障碍。这些发现还表明, 游客对变革的开放价值观显着影响“RF”, 但对“RA”和对电动自行车共享服务的态度没有影响。

这项研究提供了宝贵的见解, 在促进可持续和环保消费的背景下补充了有关电动自行车共享和 BRT 的现有文献。

本研究利用 BRT 理论, 在调查经济增长的旅游目的地中游客对使用电动自行车共享服务的态度和意图方面迈出了重要一步, 并提出了一个同时考虑“RF”和“RA”的模型用于城市交通的电动自行车。”

Este estudio pretende explorar los factores esenciales de las razones a favor (RF) y en contra (RA) y su impacto en las actitudes e intenciones de los turistas de utilizar los servicios de bicicletas eléctricas compartidas (e-bike sharing) utilizando un enfoque novedoso basado en la BRT.

Se utilizó un método cuantitativo para recopilar datos de 292 turistas y analizarlos mediante la técnica PLS-SEM.

Los resultados indican que tanto la “RF” como la “RA” son cruciales para afectar a las actitudes e intenciones de los turistas de utilizar los servicios de e-bike-sharing. Además, se identificaron como “RF” factores como la comodidad, el ahorro de precio y el ahorro de tiempo, mientras que como “RA” se identificaron las condiciones meteorológicas, las preocupaciones por la seguridad y las barreras de imagen que afectan a las actitudes de los turistas y a su intención de utilizar los servicios de e-bike sharing. Estos resultados también indican que los valores de apertura al cambio de los turistas influyen significativamente en “RF” y no tienen ningún impacto en “RA” ni en la actitud hacia los servicios de e-bike sharing.

Este estudio aporta valiosas ideas que complementan la bibliografía existente sobre el uso compartido de bicicletas eléctricas (e-bike sharing) y el BRT en el contexto de la promoción de un consumo sostenible y respetuoso con el medio ambiente.”

Esta investigación da un importante paso adelante en la investigación de las actitudes e intenciones de los turistas hacia la utilización de los servicios de e-bike sharing en un destino turístico de economía en crecimiento utilizando la teoría del BRT y proponiendo un modelo que tiene en cuenta tanto la “RF” como la “RA” que utilizan las e-bikes para el transporte urbano.”

Bicycle sharing offers a novel way to create smart and sustainable mobility solutions for the future. The purpose of this study is to draw on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) framework for identifying the factors necessary to predict bike-sharing intention among users in India.

Data were collected through a questionnaire distributed across four major cities in India, and 515 responses were analyzed. A sequential approach was employed to analyze the data using Partial Least Square–Structural Equation Modeling (PLS-SEM) and Fuzzy-set Qualitative Comparative Analysis (fsQCA).

The findings from PLS analysis revealed that performance expectancy, effort expectancy, facilitating conditions, hedonic motivation and price value are the salient variables that affect users' intentions to participate in bike sharing. In addition, based on fsQCA, six configurations of causal conditions are presented as intermediate solutions that produce the same results. Although antecedent conditions, such as habit and social influence, had an insignificant effect on individuals' BSI, they create conditions sufficient to encourage users' participation in bike sharing in combination with other variables.

A few limitations of this research and the implications of the findings in terms of theory and policy implications are also discussed.

The reported study is one of the earliest to explain bike-sharing adoption in India using the UTAUT 2 model.

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

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.

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.

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.

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.

本论文旨在研究用户在中国使用共享单车系统的情况。

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。

研究型论文

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。

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。

UTAUT, TAM, 感知风险, 共享单车系统,使用

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.

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.

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.

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.

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.

On 4^th 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?

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

Teaching Notes are available for educators only.

CSS 11: Strategy.

The purpose of this study is to examine the dimensionality of relational benefits in public bike sharing (PBS) and explore the mediating role of user satisfaction and engagement on the linkage between relational benefits and continuance intention.

This study used a mixed method approach. Data were collected using convenience sampling technique from 411 users of PBS in Bhubaneswar, India. In the first part of the study, in-depth interviews were conducted to identify a set of relational benefits for scale development. In the second part, CB-SEM was used to establish the reliability and validity of the scale and test the hypotheses linking relational benefits with user satisfaction, engagement and continuance intention.

The analysis suggests that relational benefit is a second order construct having five distinct yet related dimensions namely economic, convenience, environmental, identity related and health and safety benefits. Also, the impact of relational benefits on continuance intention is positively and significantly mediated through user satisfaction and engagement.

This study is conducted in only one Indian city and is limited to PBS, which, is one of the elements of green transportation and does not cover other modes of transportation. Therefore, generalization of findings beyond this region and the mode of transportation should be done with caution.

This study contributes to the extant management literature by examining the mediating role of user satisfaction and engagement on the linkage between relational benefits and continuance intention which is an unexplored area of research. The study adds to existing knowledge by exploring the dimensionality of relational benefits in PBS context.

Travel destinations worldwide are seeking smart ways to reduce the negative impact of tourism, and the public bike rental service (PBRS) is one of them. To investigate the usage intention of this service among visitors, the author of this research employs an integrated approach consisting of two psychological frameworks: the Norm Activation Model (NAM) and the Technology Acceptance Model (TAM).

The integrated NAM-TAM model is implemented to conduct a survey (sample n = 777) with visitors to Hanoi, Danang, and Ho Chi Minh City regarding the factors underlying their intentions to continue using the PBRS TNGo.

Structural equation models suggested that: (1) the NAM-TAM can explain behavioural intention to use a smart PBRS. Perceived Usefulness (PU), Perceived Ease of Use (PE), and Awareness of Consequences (AC) have positive and significant impacts on Attitude Towards Using (AT) and, thus, on Behavioural Intention to Use (BI). Also, Personal Norms (PN) positively influence BI. (2) Among the four independent variables, tourists' AC produces the most potent effect on the intention to continue using a PBRS.

This study can start a new research direction of combining the NAM with other theoretical frameworks to explain customer behaviour in the field of sustainable tourism practices. Future research should explore the proposed model based on comparisons of different tourists’ backgrounds, including nationality, length of stay, spending level, visiting purpose, etc.

This research provides strategic implications for destination management organisations in boosting the use of PBRS amongst tourists, contributing to the environmental sustainability targets of the tourism industry.

This study responds to the existing gap by examining both functional value (indicated by PU and PE) and perceived environmental/social value (proxied by AC) in forming tourists’ attitudes towards PBRS and their usage intention. Our study, therefore, actively contributes to the research stream of tourist behaviour in the field of sustainable tourism practices from the altruistic behavioural perspective.

Trust plays a crucial role in overcoming uncertainty and reducing risks. Uncovering the trust mechanism in the sharing economy may enable sharing platforms to design more effective marketing strategies. However, existing studies have inconsistent conclusions on the trust mechanism in the sharing economy. Therefore, this study aims to investigate the antecedents and consequences of different dimensions of trust (trust in platform and trust in peers) in the sharing economy.

First, we conducted a meta-analysis of 57 related articles. We tested 13 antecedents of trust in platform (e.g. economic benefits, enjoyment, and information quality) and eight antecedents of trust in peers (e.g. offline service quality and providers’ reputation), as well as their consequences. Then, we conducted subgroup analyses to test the moderating effects of economic development level (Developed vs Developing), gender (Female-dominant vs Male-dominant), platform type (Accommodation vs Transportation), role type (Obtainers vs Providers), and uncertainty avoidance (Strong vs Weak).

The results confirm that all antecedents and consequences significantly affect trust in platform or peers to varying degrees. Moreover, trust in platform greatly enhances trust in peers. Besides, the results of the moderating effect analyses demonstrate the variability of antecedents and consequences of trust under different subgroups.

This paper provides a clear and holistic view of the trust mechanism in the sharing economy from an object-based trust perspective. The findings may offer insights into trust-building in the sharing economy.

The purpose of this study is to apply and extend the predictors within the theory of planned behaviour (TPB) to understand consumers' behaviour toward recycling end-of-life garments among Australian consumers. The predictors explored within this study include attitude, perceived behavioural control, subjective norms, self-identity, general recycling behaviour eco-literacy, self-efficacy, intentions to recycle and behaviour to recycle end-of-life garments.

Data were collected from a sample of consumers across all eight recognised states/territories in Australia through survey questionnaires. A total of 481 usable responses were analysed using structural equation modelling.

Results show positive relationships between the factors explored with all hypotheses supported. The findings of this study have theoretical and managerial implications. They (1) provide an insight into the significant factors that influence consumers' recycling behaviour amongst Australian fashion consumers; (2) bridge the gap in the explanatory nature of TPB by extending this theory; (3) call to develop marketing campaigns to educate consumers on the impact of fashion waste; (4) suggest the need for provision of household textile collection bins at a national level and (5) highlight the need for policy reform on garment recycling enabled by the Australian government.

This study is part of the limited studies that focus on the recycling of consumer fashion waste within the Australian context. Little research has also applied the TPB to end-of-life fashion products with a focus on recycling. In addition, no study to the authors' knowledge has, in combination, explored self-efficacy, self-identity, general recycling behaviour and eco-literacy as predictors of intentions to recycle end-of-life garments.