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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.”

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.

The expansion of bike-sharing enterprises has led to a series of social problems, and due to the high breakage rate and high recycling cost of bike sharing, enterprises are reluctant to maintain them. Therefore, government regulation does play a leading role in maintaining bike sharing. This study’s purpose is to investigate how the government should regulate the bike-sharing enterprises that maintain bicycles.

Firstly, the authors assume that there is only one bike-sharing enterprise and establish a game model that the government regulates the enterprise. Furthermore, the authors extend the model to the case that there are two competing enterprises in the market. Finally, through numerical analysis, the influence of various factors on the government strategy and revenue is analyzed.

The authors find that the regulatory probability of two enterprises are regulated by the government is larger than that of one enterprise. When two bike-sharing enterprises compete without government regulation, both will choose the non-self-discipline strategy, thus falling into the Prisoner's Dilemma. If the government regulates them, then both enterprises will choose the self-discipline strategy. Finally, through numerical analysis, it is found that the self-discipline behavior of bike-sharing enterprises is related to the government regulatory probability, the cost of self-discipline, the probability of being reported and the penalties. Interestingly, the cost of government regulation will not affect the regulation probability of government.

This research provides a theoretical reference for the government to make the regulation strategies of bike sharing and achieve the sustainable development of bike sharing.

This research provides a theoretical reference for the government to make the regulation strategies of bike sharing and achieve the sustainable development of bike sharing.

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.

Product-service systems (PSS) are regarded as highly sustainable solutions. However, studies identifying and comparing the sustainable potential of product-service offerings by considering the three sustainability dimensions are still scarce. This paper aims to benchmark and analyse the sustainable potential of a use-oriented PSS, showing the influence of the context of implementation on the sustainable potential of the solutions.

By adopting a competitive benchmarking approach, six bicycle-sharing systems from different countries were selected for analysis. The main sustainability-related aspects in use-oriented PSS (the systems investigated) were identified through a literature review. Multiple secondary sources were used to collect data about the analysed PSS. A qualitative analysis was conducted through triangulation of the sources to identify and compare the systems by considering the selected sustainability aspects.

The main results show that use-oriented PSS provide a range of economic, social, and environmental benefits, confirming the sustainable potential of such solutions. Several similarities between the systems have been identified, along with some differences, especially regarding their integration with other transport systems and the use of renewable energy, which can affect users' acceptance, operation efficacy, and overall sustainable potential of the solutions.

This study identifies best practices that can be considered by other bike-sharing businesses to improve their sustainability potential.

This study identifies and explores the sustainable potential of bicycle-sharing solutions using a benchmark approach. It augments existing empirical knowledge on sustainable PSS and business models by revealing best practices, including the context that may enhance the sustainability potential of the solutions regarding environmental, economic, and social benefits.

This study aims to explore consumer motivations to mitigate the contagion effect in access-based consumption after instances of prior customer misbehavior. Reverse contagion, demonstrated through customer citizenship behavior, entails using both firm-provided and personal resources to cocreate value, even in the presence of norm violations by others. The research delves into the influence of empathy, narrative appeal and past misbehavior severity on customer behavior, specifically in the context of reverse contagion.

Two scenario-based studies and a field study were used within the context of scooter-sharing to assess the conceptual model. Study 1 (n = 156) and Study 2 (n = 97) were conducted through surveys. Study 3 (n = 54) was a field study.

The results emphasize the crucial role of empathy in breaking the cycle of misbehavior contagion. Specifically, the findings suggest that narrative appeals have the potential foster greater empathy, encouraging customers to counteract the contagion. However, the intensity of prior misbehavior lessens the efficacy of narrative appeals in triggering reverse contagion, thereby moderating the mediating effect of empathy.

This study investigates reverse contagion stemming from customer misbehavior in accessed-based consumption. It delves into the impact of empathy, narrative appeal and previous misbehavior on the dynamics of value codestruction and cocreation. This comprehensive examination of these factors within a unified framework represents a new contribution to the literature. The results illuminate this intricate phenomenon, offering valuable insights for managers to address adverse customer behavior and harness the positive aspects of reverse contagion.

Goa, a tiny state located along the western coast of India, is rich in cultural heritage and biodiversity. It boasts of a good network of roads and also some rustic experiences. However, the entry of new technology in terms of transport is difficult due to the strong links of people with nature and the desire to retain the natural setting for future generations. Thus, the devices or machines must also be resilient and sustainable in the long run. Good governance and infrastructural support can work wonders in the long run if this is supported.

Conversely, smart mobilities must be powered up through hydro, wind, solar, hydrogen, coal and lithium batteries. While the former four are ideal as they are renewable, the latter, which is coal-generated energy and lithium batteries, can deter nature as they have a large carbon footprint. While hydrogen if created through green systems will be more feasible and can be more sustainable to run electric vehicles (EVs). To top it up, the start-up India mission also has played a significant role in helping smart mobilities businesses to thrive in India. Therefore, the need to adopt smart mobilities dependent on green energy is important for this sector to succeed. This chapter also enlightens the reader through a case study about how BLive, an Indian EV start-up introduced smart mobilities in Goa, their mode of implementation, operations and challenges faced.

Companies are adopting innovative methods for responsiveness and efficiency in the public transport sector. The implementation of air-taxi services (ATS) in the transport sector is a move in this direction. Air taxis have a two-pronged advantage as they can reduce travel times by avoiding traffic congestion and have the potential to reduce carbon footprint compared to traditional modes of public transportation. Many companies worldwide are developing and testing ATS for practical applications. However, many factors may play a significant role in adopting ATS in the transport sector. This paper attempts to unearth such critical success factors (CSFs) and establish the interrelationships between these factors.

Fifteen CSFs were identified by systematically reviewing the literature and taking experts' input. An integrated multi-criteria decision-making (MCDM) technique, Decision-Making Trial and Evaluation Laboratory-Analytic Network Process (DEMATEL-ANP [DANP]) was used to envisage the causal relationships between the identified CSF.

The results reveal that Govt Regulations (GOR), Skilled Workforce (SKF) and Conductive Research Environment (CRE) are the most influential factors that impact the adoption of ATS in the transport sector.

The research implications of these findings will help practitioners and policymakers effectively implement ATS in the public transportation sector.

This is the first kind of study that identifies and explores the different CSFs for ATS implementation in public transportation. The CSFs are evaluated with the help of a framework built with inputs from logistics experts. The study recognizes the CSFs for ATS implementation and provides a foundation for future research and smooth adoption of ATS.

The document underscores the need for systematic smart mobility policies to advance smart cities, addressing resource waste and environmental issues. Recognizing challenges in adopting efficient smart mobility, the paper seeks to fill a literature gap by identifying governance-related best practices and success factors. The objective is to develop a clear framework for smart mobility adoption with policy implications, especially for Euro-Mediterranean (EuroMed) Smart Cities, reducing congestion and costs while promoting sustainability through data-driven decision-making and integration models.

To conduct the study, we adopt a multiple-case approach, examining different smart mobility applications in three of the world's most relevant smart city contexts according to international rankings, namely New York, Copenhagen and Singapore. Starting with the framework emerging from the research sample, which is representative of three different continents and cultures, a comparative assessment is then made with two EuroMed Smart Cities, highlighting their relative gaps.

The paper presents an innovative framework for smart mobility that highlights five key success factors. In addition to highlighting related gaps with a sample of EuroMed Smart Cities, it offers guidelines and implications for administrators, policy makers and mobility managers.

This success framework is a powerful tool, framework and guideline with numerous theoretical and managerial implications. Indeed, it directs policymakers, policymakers and mobility managers toward creating innovative business models for sustainable smart mobility, maximizing the efficiency of the centralized urban system, reducing negative externalities, breaking down barriers and pursuing greater efficiency, resilience and equity in the accessibility, mobility and sustainable livability of smart cities.

The purpose of this paper is to evaluate and compare the current trends in development of the second largest cities in each Baltic state – Tartu (Estonia), Kaunas (Lithuania), and Daugavpils (Latvia) – as smart destinations, based on publicly available tourism information.

The study uses a case study employing a descriptive research method, and the authors reached their conclusions based on this material. Furthermore, the paper primarily focuses on literature and new research which deals with tourism in the 21st century, its innovations, changes, and trends.

The levels and directions of development of Tartu, Kaunas, and Daugavpils as a smart tourism destination are different. Although all three are the second largest cities in each Baltic State, their initial historical development, availability of resources, locations, and strategic development of the country show differences in development. Tartu conforms to the standards in all four categories. However, the category of digitalization receives the most attention and contributes to the positive smart destination result in the other three categories. Comparatively, Daugavpils records fewer current achievements according to the STDC, although the authors believe that there is potential that can be seen in the strategic policy documents. However, judging by all four categories, Daugavpils, similarly to Kaunas, currently demonstrates the greatest achievements in the culture heritage and creativity category.

This paper presents data and compares smart tourism development trends in the second largest cities in each Baltic country.