Search results

With the aid of naturalistic simulations, this paper aims to investigate human behavior during manual and autonomous driving modes in complex scenarios.

The simulation environment is established by integrating virtual reality interface with a micro-simulation model. In the simulation, the vehicle autonomy is developed by a framework that integrates artificial neural networks and genetic algorithms. Human-subject experiments are carried, and participants are asked to virtually sit in the developed autonomous vehicle (AV) that allows for both human driving and autopilot functions within a mixed traffic environment.

Not surprisingly, the inconsistency is identified between two driving modes, in which the AV’s driving maneuver causes the cognitive bias and makes participants feel unsafe. Even though only a shallow portion of the cases that the AV ended up with an accident during the testing stage, participants still frequently intervened during the AV operation. On a similar note, even though the statistical results reflect that the AV drives under perceived high-risk conditions, rarely an actual crash can happen. This suggests that the classic safety surrogate measurement, e.g. time-to-collision, may require adjustment for the mixed traffic flow.

Understanding the behavior of AVs and the behavioral difference between AVs and human drivers are important, where the developed platform is only the first effort to identify the critical scenarios where the AVs might fail to react.

This paper attempts to fill the existing research gap in preparing close-to-reality tools for AV experience and further understanding human behavior during high-level autonomous driving.

This work aims to systematically analyze the inconsistency in driving patterns between manual and autopilot modes in various driving scenarios (i.e. multiple scenes and various traffic conditions) to facilitate user acceptance of AV technology.

A close-to-reality tool for AV experience and AV-related behavioral study. A systematic analysis in relation to the inconsistency in driving patterns between manual and autonomous driving. A foundation for identifying the critical scenarios where the AVs might fail to react.

The purpose of this paper is to develop initial evidence about the nature and features of crowdfunding in China, given it is largely unregulated regulatory frameworks.

The paper used extensive desk research using data collected from the public and private sectors, after which the data was analyzed parallel to existing academic literature, that is, institutional context by Bruton et al. (2014). This paper uncovered patterns of development, profiling crowdfunding platforms, examining the regulatory landscape and providing antecedents of successful crowdfunding projects in China.

When the traditional financial markets are hard to reach, micro, small and medium enterprises (MSMEs) were starved for capital. Crowdfunding can play a major role in funding and risk sharing. It is an innovative and dynamic vehicle for MSMEs as well as enthusiastic investors in China. Since its initial introduction to China in 2009, crowdfunding has gained substantial popularity in a relatively short period. Currently, there is still not an identifiable guideline on how to delineate the significance of the crowdfunding platform. The development of crowdfunding in China faces a few unresolved key issues. As researchers exploring this phenomenon in new ways, crowdfunding platforms can be enhanced in a manner that benefits the capital seeker, investors and society as a whole.

There is a dearth of information on start-up crowdfunding in Asia. With little data available to analyze, so this paper hopes to contribute to knowledge and provide valuable information to researchers and industry representations. Crowdfunding represents a potentially disruptive change in the way that new ventures are funded. This paper represents an initial analysis in the study of new ventures in China. Finally, the authors provide recommendations for entrepreneurs, investors and policymakers as well as researchers and practitioners with suggestions about yet unexplored avenues of research.

This study explores entrepreneurial decision-making in the equity crowdfunding (ECF) context, and it aims to shed some light on the relationship among three aspects: entrepreneurial characteristics (i.e. entrepreneurial alertness and entrepreneurial self-efficacy), entrepreneurial motivations (i.e. promotion, improvement of networking and acquisition of product and market knowledge) and entrepreneurial behaviours (i.e. campaign characteristics in terms of communication and offerings).

The hypotheses testing and analysis were conducted using the partial least squares approach to structural equation modelling, and data were collected from the overall population of Italian ECF platforms.

Our results highlight that entrepreneurial characteristics may be central in ECF because of their significant impact on some motivation entrepreneurs have to adopt ECF, which in turn have an impact on meaningful campaign characteristics that can influence ECF performance.

The current literature is mainly focused on investors' decisions, while a neglected perspective until now has been that of entrepreneurs. This study is among the first to focus on entrepreneurs in the ECF context, and, to the best of our knowledge, it is the first study to investigate the entrepreneurial decision-making process. The added value of this research lies in the analysis of the entrepreneurial aspects underlying entrepreneurial decisions to use ECF.

Crowdfunding has become a popular and achievable means of funding projects worldwide. The purpose of this study is to determine which personal and social traits can increase individuals’ intention to participate in crowdfunding.

This study examines innovativeness, attitudes toward helping others and interpersonal connectivity as determinants of consumers’ intention to participate in crowdfunding. Social identification with the crowdfunding community is proposed as a mediator in the model.

The results show that both social identification with the crowdfunding community and innovativeness have a positive effect on intention to participate. In addition, attitudes toward helping others and interpersonal connectivity indirectly affect intention to participate in crowdfunding through social identification with the crowdfunding community.

This study analyzes a general audience of potential crowdfunders; therefore, the results identify just the indications for potential intentions to participate in crowdfunding activities.

Companies or fund-seekers currently using or expecting to use crowdfunding have to develop strategies focused on promoting social identification with the crowdfunding community. More effort should be devoted for developing consumers’ social relationships and ties within the crowdfunding community.

This study contributes to the literature by clarifying the characteristics that potential crowdfunders should have to be more prone to participate in these types of projects.

El crowdfunding se ha convertido en un medio popular y factible de financiar proyectos en todo el mundo. El objetivo principal de este estudio es determinar qué características personales y sociales pueden aumentar la intención de los individuos de participar en el crowdfunding.

Esta investigación examina la capacidad de innovación, las actitudes hacia ayudar a los demás y la conectividad interpersonal como determinantes de la intención de los consumidores de participar en el crowdfunding. La identificación social con la comunidad de crowdfunding se propone como un mediador en el modelo.

Los resultados muestran que tanto la identificación social con la comunidad de crowdfunding y la capacidad de innovación tienen un efecto positivo en la intención de participar en proyectos de crowdfunding. Además, las actitudes hacia ayudar a los demás y la conectividad interpersonal afectan indirectamente la intención de participar en el crowdfunding a través de la identificación social con la comunidad de crowdfunding.

Esta investigación analiza una audiencia general de posibles “crowdfunders”, por lo tanto, los resultados identificaron solo indicaciones de intenciones potenciales para participar en actividades de crowdfunding.

Las empresas o emprendedores que actualmente usan o esperan usar el crowdfunding como método de financiación, deben desarrollar estrategias enfocadas en promover la identificación social con la comunidad de crowdfunding; así como fomentar el desarrollo de las relaciones y las relaciones sociales de los consumidores dentro de la comunidad de crowdfunding.

Esta investigación contribuye a la literatura explicando las características sociales y personales de los individuos que con más propensión participarían en este tipo de proyectos.

Crowdfunding (CF) is a digital-financial innovation that, bypassing credit crisis, bank system rigidities and constraints of the capital market, is allowing new ventures and established companies to get the needed funds to support innovations. After one decade of research, mainly focused on relations between variables and outcomes of the CF campaign, the literature shows methodological lacks about the study of its overall behavior. These reflect into a weak theoretical understanding and inconsistent managerial guidance, leading to a 27% success ratio of campaigns. To bridge this gap, this paper embraces a “complex system” perspective of the CF campaign, able to explore the system's behavior of a campaign over time, in light of its causal loop structure.

By adopting and following the document model building (DMB) methodology, a set of 26 variables and mutual causal relations modeled the system “Crowdfunding campaign” and a data set based on them and crafted to model the “Crowdfunding campaign” with a causal loop diagram. Finally, system archetypes have been used to link the causal loop structure with qualitative trends of CF's behavior (i.e. the raised capital over time).

The research brought to 26 variables making the system a “Crowdfunding campaign.” The variables influence each other, thus showing a set of feedback loops, whose structure determines the behavior of the CF campaign. The causal loop structure is traced back to three system archetypes, presiding the behavior in three stages of the campaign.

The value of this paper is both methodological and theoretical. First, the DMB methodology has been expanded and reinforced concerning previous applications; second, we carried out a causation analysis, unlike the common correlation analysis; further, we created a theoretical model of a “Crowdfunding Campaign” unlike the common empirical models built on CF platform's data.

Cloud Manufacturing (CM) is the manufacturing version of Cloud Computing and aims to increase flexibility in the provision of manufacturing services. On-demand manufacturing services can be requested by users to the cloud and this enables the concept of Manufacturing-as-a-Service (MaaS). Given the considerable number of prototypes and proofs of concept addressed in literature, this work seeks real CM platforms to study them from a business perspective, in order to discover what MaaS concretely means today and how these platforms are operating.

Since the number of real applications of this paradigm is very limited (if the authors exclude prototypes), the research approach is qualitative. The paper presents a multiple-case analysis of 6 different platforms operating in the manufacturing field today. It is based on empirical data and inductively researches differences among them (e.g. stakeholders, operational flows, capabilities offered and scalability level).

MaaS has come true in some contexts, and today it is following two different deployment models: open or closed to the provider side. The open architecture is inspired by a truly open platform which allows any company to be part of the pool of service providers, while the closed architecture is limited to a single service provider of the manufacturing services, as it happens in most cloud computing services.

The research shoots a picture of what MaaS offers today in term of capabilities, what are the deployment models and finally suggests a framework to assess different levels of development of MaaS platforms.

This study aims to propose a semiempirical and semitheoretical cyclic compaction constitutive model of coarse-grained soil filler for the high-speed railway (HSR) subgrade under cyclic load.

According to the basic framework of critical state soil mechanics and in view of the characteristics of the coarse-grained soil filler for the HSR subgrade to bear the train vibration load repeatedly for a long time, the hyperbolic empirical relationship between particle breakage and plastic work was derived. Considering the influence of cyclic vibration time and stress ratio, the particle breakage correction function of coarse-grained soil filler for the HSR subgrade under cyclic load was proposed. According to the classical theory of plastic mechanics, the shearing dilatation equation of the coarse-grained soil filler for the HSR subgrade considering particle breakage was modified and obtained. A semiempirical and semitheoretical cyclic compaction constitutive model of coarse-grained soil filler for the HSR subgrade under cyclic load was further established. The backward Euler method was used to discretize the constitutive equation, build a numerical algorithm of “elastic prediction and plastic modification” and make a secondary development of the program to solve the cyclic compaction model.

Through the comparison with the result of laboratory triaxial test under the cyclic loading of coarse-grained soil filler for the HSR subgrade, the accuracy and applicability of the cyclic compaction model were verified. Results show that the model can accurately predict the cumulative deformation characteristics of coarse-grained soil filler for the HSR subgrade under the train vibration loading repeatedly for a long time. It considers the effects of particle breakage and stress ratio, which can be used to calculate and analyze the stress and deformation evolution law of the subgrade structure for HSR.

The research can provide a simple and practical method for calculating deformation of railway under cyclic loading.