Conference Paper

Successful crowdfunding: the effects of founder and project factors

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Abstract

Crowdfunding has been regarded as a novel way of collecting money for innovators to launch products and services by opening their ideas in online. This funding approach is differentiated from a traditional fundraising alternative in terms of project evaluation and risk management. In this paper, we question the reason why some crowdfunding projects are more successful in the context of a pre-ordering model, also known as a reward-based crowdfunding. Data analysis results based on 704 Kickstarter projects showed that founder's prior experiences would influence successful fundraising. User comments and update efforts have positive effects on the increase of success rate. In addition, we examined that the amount of funding goal had negative association with fundraising success.

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... Much crowdfunding research has shown efforts to shed light on the concept of success and success factors in crowdfunding: suggesting several interpretations for what is meant by success and success factors. For example, some studies proposed factors that might impact campaigns' success either directly or indirectly (Koch & Cheng;Kim, Por, & Yang;Kim, Por, & Yang, 2016;Butticè, Colombo, & Wright, 2017). These studies have adopted a generalized approach with no regard to the campaign's success outcome and also have largely ignored differences in crowdfunding campaigns clusters. ...
... Much crowdfunding research has shown efforts to shed light on the concept of success and success factors in crowdfunding: suggesting several interpretations for what is meant by success and success factors. For example, some studies proposed factors that might impact campaigns' success either directly or indirectly (Koch & Cheng;Kim, Por, & Yang;Kim, Por, & Yang, 2016;Butticè, Colombo, & Wright, 2017). These studies have adopted a generalized approach with no regard to the campaign's success outcome and also have largely ignored differences in crowdfunding campaigns clusters. ...
... One the other hand, technical factors could be traced to creators' past experience; the success might be positively associated with the number of past created projects (Kromidha & Robson, 2016). Similarly, updates and backers' comments might have a positive impact on the success rate (Kim, Por, & Yang, 2016). Despite the considerable amount of research in crowdfunding success, a generalized approach domi-7 nated the studies measuring either the pledged capital or the success rate among both successful and unsuccessful campaigns. ...
... Many crowdfunding research has focused on the success of business projects and entrepreneurs Frydrych et al. (2014). Kickstarter has received great attention from the researchers due to the considerable success of the platform, and also to the availability of Kickstarter datasets online (Por et al. (2016); De et al. (2015); Mollick (2014); Tran et al. (2016); Etter et al. (2013); Greenberg et al. (2013) to cite a few). The rewards, the goal level and the goal proximity were found to be powerful drivers to contribution motivation Kuppuswamy and Bayus (2017), but what if the reward and the goal variables are inexistent, as it is for donation-based projects? ...
... The participant of the crowdfunding project do not necessarily have an expertise or experience to evaluate the quality of the project, therefore a number of previous researches extracted the individual features from the project page assuming it provides signals to potential participants that could influence their decision. Such, the rewards, the goal and the goal proximity the campaign duration, the number of comments and updates, the description length, the number of medias, etc., were evaluated by the researched and considered to be related to the crowdfunding success (Mollick (2014); Por et al. (2016);Frydrych et al. (2014); Zhou et al. (2018) to cite a few). The project description provides signals about the quality and the credibility of the project; the modest goal and duration provide the signals of the legitimacy, the updates could show an effort and motivation of the project founder Frydrych et al. (2014). ...
... Another dimension along with the project page that were studied by the community is the project owner. Such, a previous experience of the project founder is considered to be the success driver in the literature Por et al. (2016); Zhou et al. (2018) alone with the social capital of the project owner Mollick (2014); Allison et al. (2017); Tran et al. (2016); Zheng et al. (2014); Moisseyev (2013). According to Kuppuswamy and Bayus (2013), the most investors on Kickstarter are one-time participants and assumed to be coming from the social network of the project owner. ...
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The Initial Coin Offering (ICO) has emerged as an original way for companies to leverage funding. In this study, we analyze 537 companies that chose the ICO model in 2017 and investigate how their digital social capital is related to the rank of the ICO based on the market capitalization. The goal of this work is to better understand the role of digital social capital in ICO success. Multiple facets of digital presence are analyzed, such as website, ICO activity on social networks like Twitter, the community built and the activeness of the community. We apply an exploratory factor analysis to leverage the main factors that can be used as latent variables, and build an original research model. Structural equation modelling is used for model evaluation and hypothesis testing. Curvilinear analyses allow us to obtain a finer vision of our results. We also verify the robustness of our results in predicting the ICO rank further in time. Our results suggest that social capital is indicative of the ICO performance. The website audience is found to be the most predictive. However, the audience and the centrality of an ICO in the community seems less important than the activeness of an ICO and of the related community on social networks.
... Much crowdfunding research has focused on the success of business projects and entrepreneurs (Frydrych, Bock, Kinder, & Koeck, 2014). Kickstarter has received great attention from researchers due to its considerable success, and due to the availability of Kickstarter datasets (De, B., Lu, & Chen, 2015;Etter, Grossglauser, & Thiran, 2013;Greenberg, Pardo, Hariharan, & Gerber, 2013;Mollick, 2014;Por, Yang, & Kim, 2016;Tran, Dontham, Chung, & Lee, 2016). The rewards, the goal level and the goal proximity were found to be powerful drivers motivating contributions (Kuppuswamy & Bayus, 2017). ...
... The participant of the crowdfunding project does not necessarily have the expertise or experience to evaluate the quality of the project, therefore a number of previous studies extracted the individual features from the project page assuming they provide signals to potential participants that could influence their decision. Therefore the rewards, the goal and the goal proximity the campaign duration, the number of comments and updates, the description length, the amount of media, etc. were evaluated by the researchers and considered to be related to the crowdfunding success (Frydrych et al., 2014;Mollick, 2014;Por et al., 2016;Zhou et al., 2018). The project description provides signals about the quality and the credibility of the project; a modest goal and duration provide signals of the legitimacy; the updates could show the effort and motivation of the project founder (Frydrych et al., 2014). ...
... Another factor, along with the project page, that was studied by the community is the project owner. The previous experience of the project founder is considered to be the success driver in the literature (Por et al., 2016;Zhou et al., 2018) along with the social capital of the project owner Moisseyev, 2013;Mollick, 2014;Tran et al., 2016;Zheng et al., 2014). According to Kuppuswamy and Bayus (2013), most investors on Kickstarter are one-time participants and usually come from the social network of the project owner. ...
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Crowdfunding platforms have seen increasing success over the last few years. While crowdfunding by counterparts has been extensively studied, only a very few works have focused on donation-based crowdfunding. The authors analyze Leetchi money-pots and study the impact of project presentations and Twitter campaigns on the success of fundraising. They propose a data-driven approach to determine the social strategies applied by the projects’ owners and their relevance to the success of the crowdfunding process. The authors extracted and computed a set of quantitative indicators using data mining and graph analysis techniques, including the project page and Tweets content, Twitter promoters and message diffusion process. The authors evaluate the predictive power of 70 features on levels of success using a dataset of 1,415 projects with 50,119 project-related tweets. The paper provides recommendations concerning key indicators to be followed and potential strategies to apply when attempting to raise funds on donation platforms.
... Many crowdfunding research has focused on the success of business projects and entrepreneurs Frydrych et al. (2014). Kickstarter has received great attention from the researchers due to the considerable success of the platform, and also to the availability of Kickstarter datasets online (Por et al. (2016); De et al. (2015); Mollick (2014); Tran et al. (2016); Etter et al. (2013); Greenberg et al. (2013) to cite a few). The rewards, the goal level and the goal proximity were found to be powerful drivers to contribution motivation Kuppuswamy and Bayus (2017), but what if the reward and the goal variables are inexistent, as it is for donation-based projects? ...
... The participant of the crowdfunding project do not necessarily have an expertise or experience to evaluate the quality of the project, therefore a number of previous researches extracted the individual features from the project page assuming it provides signals to potential participants that could influence their decision. Such, the rewards, the goal and the goal proximity the campaign duration, the number of comments and updates, the description length, the number of medias, etc., were evaluated by the researched and considered to be related to the crowdfunding success (Mollick (2014); Por et al. (2016);Frydrych et al. (2014); Zhou et al. (2018) to cite a few). The project description provides signals about the quality and the credibility of the project; the modest goal and duration provide the signals of the legitimacy, the updates could show an effort and motivation of the project founder Frydrych et al. (2014). ...
... Another dimension along with the project page that were studied by the community is the project owner. Such, a previous experience of the project founder is considered to be the success driver in the literature Por et al. (2016); Zhou et al. (2018) alone with the social capital of the project owner Mollick (2014); Allison et al. (2017); Tran et al. (2016); Zheng et al. (2014); Moisseyev (2013). According to Kuppuswamy and Bayus (2013), the most investors on Kickstarter are one-time participants and assumed to be coming from the social network of the project owner. ...
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La cybersécurité ? De quoi parle-t-on ? Pourquoi faut-il se protéger ? De qui ? Comment ?Cet ouvrage a pour but de donner toutes les informations nécessaires sur ce sujet (contrôle d'accès, ingénierie sociale, logiciels malveillants, communications sécurisées, vulnérabilité du web, sécurité mobile, respect de la vie privée et son cadre juridique, nouvelles technologies, et cybersécurité en entreprise).
... Much crowdfunding research has shown efforts to shed light on the concept of success and success factors in crowdfunding: suggesting several interpretations for what is meant by success and success factors. For example, some studies proposed factors that might impact campaigns' success either directly or indirectly (Koch & Cheng;Kim, Por, & Yang;Kim, Por, & Yang, 2016;Butticè, Colombo, & Wright, 2017). These studies have adopted a generalized approach with no regard to the campaign's success outcome and also have largely ignored differences in crowdfunding campaigns clusters. ...
... Much crowdfunding research has shown efforts to shed light on the concept of success and success factors in crowdfunding: suggesting several interpretations for what is meant by success and success factors. For example, some studies proposed factors that might impact campaigns' success either directly or indirectly (Koch & Cheng;Kim, Por, & Yang;Kim, Por, & Yang, 2016;Butticè, Colombo, & Wright, 2017). These studies have adopted a generalized approach with no regard to the campaign's success outcome and also have largely ignored differences in crowdfunding campaigns clusters. ...
... One the other hand, technical factors could be traced to creators' past experience; the success might be positively associated with the number of past created projects (Kromidha & Robson, 2016). Similarly, updates and backers' comments might have a positive impact on the success rate (Kim, Por, & Yang, 2016). Despite the considerable amount of research in crowdfunding success, a generalized approach domi-7 nated the studies measuring either the pledged capital or the success rate among both successful and unsuccessful campaigns. ...
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Crowdfunding success in terms of the achievement of target capital in reward-based crowdfunding projects is impacted by many factors (e.g., past created projects, campaign duration, pledged capital). This paper studies the determinants of success rate (pledged capital/target capital) or (P/T) in successful technological crowdfunding projects. The quantitative study started by data collection of 328 successful Kickstarter technological crowdfunding campaigns which are later decreased to 289 due to model censorship. Tobit model was adopted as the censored linear regression model to determine the existence of relationships between the dependent variable (P/T) and the independent variables. Results suggest that success rate is associated with 7 independent variables: visuals, duration, internal social capital, comments and education are found to impact success rate positively while target capital and past created projects are found to impact success rate negatively. The study contributes to the literature in crowdfunding by paving the path to study success factors that might impact successful technological projects, and to investigate the significance of backers’ feedback and project creators’ education in maximizing their campaign’s outcome.
... In relation to the sector, the crowdfunding campaigns about musical initiatives [12] and non-profit projects [13] has more probabilities to success. In terms of the quantity demanded, it is very important to set reasonable and convincing funding objectives [3, 7 and 14]; and taking into account, that according [15] and [16], the higher the amount requested the more difficult to get it. Moreover, for small quantities a KIA (Keep It All) type campaign is more appropriate, while for large quantities the AON (All Or Nothing) model is better [17]. ...
... In relation to the entrepreneur and related to the above, according to [28] because the majority of the funders are women by homophily, entrepreneurs who are women are more successful in crowdfunding. There is controversial about the entrepreneurs' previous experience and their academic training; for [12], [16] and [20] these items are critical success factors, meanwhile [26] considers them irrelevant factors. ...
... Length of title (Ahmad et al., 2017), (Jiménez & Mendoza, 2013) Number of backers (Li et al., 2018), (Belleflamme et al., 2014) Target amount (Lagazio & Querci, 2018), (Cholakova & Clarysse, 2015) Number of comments (Bannerman, 2013), (Kromidha & Robson, 2016) Number of project likes (Zheng et al., 2014), (Bi et al., 2017) Updates (Kraus et al., 2016), (Gleasure & Morgan, 2018) Length of description (Zhou et al., 2018) Sponsor fans (Zheng et al., 2014) Sponsor likes (Zheng et al., 2014) Sponsor supported projects (Monika & Gabor, 2014), (Colombo et al., 2015) Projects initiated by sponsors (Beaulieu et al., 2015), (Meng et al., 2016) Province of the project (Yuan et al., 2016) Project type (Kuppuswamy & Bayus, 2018) T A B L E 1 2 Model performance after feature selection. Figure 8 shows the ROC curves for each algorithm. ...
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Background Crowdfunding is increasingly favoured by entrepreneurs for online financing. Predicting crowdfunding success can provide valuable guidance for stakeholders. It is a new attempt to evaluate the relative performance of different machine learning algorithms for crowdfunding prediction. Objectives This study aims to identify the key factors of crowdfunding, and find the different performance and usage of machine learning algorithms for crowdfunding prediction. Method We crawled data from MoDian.com, a Chinese crowdfunding platform, and predicted the crowdfunding performance using four machine learning algorithms, which is a new exploration in this area. Most of the existing literature focuses on empirical analysis. This work solves the problem of predicting crowdfunding performance using a dataset with a minimal number of highly contributive features, which has higher accuracy compared to the regression analysis. Results The experiment results show that feature‐selection‐based machine learning models are effective and beneficial in crowdfunding prediction. Conclusion Feature selection can significantly improve the prediction performance of the machine learning models. KNN achieved the best prediction results with five features: number of backers, target amount, number of project likes, number of project comments, and sponsor fans. The prediction accuracy was improved by 16%, the precision was improved by 13.23%, the recall was improved by 22.66%, the F‐score was improved by 18.48%, and the AUC was improved by 14.9%.
... However, Kickstarter's funding success rate is only 37%, and Ulule's is only 65%. Project creativity, project advertising exposure, and project duration may affect the success rate of project financing [2]. However, the biggest reason is that there are so many projects on the platform that it is difficult for investors to browse the projects that they are really interested in. ...
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In real recommendation systems, implicit feedback data is more common and easier to obtain, and recommendation algorithms based on such data will be more applicable. However, implicit feedback data cannot directly express user preferences. Meanwhile, data sparsity caused by massive data is still an urgent problem to be solved in recommendation system. In response to this phenomenon, this paper proposes a deep collaborative filtering algorithm. In the perspective of implicit feedback, this method uses the advantages of convolutional neural network for effective learning of the nonlinear interaction of users and items and the characteristics of collaborative filtering algorithm for modeling the linear interaction of users and items and combines the two methods for recommendation. Finally, the baseline method is set up and the comparative experiment and parameter adjustment is carried out. The experimental results show that the proposed algorithm has significantly improved the recommendation accuracy on public dataset (Yahoo! Movie). The parameter adjustment results show that, under the condition of uniformly collecting negative feedback data and setting a certain number of convolution layers, the sparser the data is, the better the recommendation performs. As a result, this paper has made some progress in solving the problem of data sparsity and enriching the research of recommendation system.
... Following Yeh and Chen (2020), a list of characteristics was drawn up and its features were correlated with project success. Features were chosen to improve the speculative ability of a classifier and reduce the preparation time by eliminating the inessential factors (Yeh and Chen, 2020;Hong et al., 2016;Barboza, 2017;Hossin and Sulaiman, 2015;Greenberg and Gerber, 2014;Guyon and Elisseeff, 2003). In reverse order of disposal, this study began by considering each of the characteristics and then eliminated the minor significant components every time something was emphasized. ...
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Purpose The purpose of this study is to analyze crowdfunding (CF) as new entrepreneurial finance (EF) tool and to predict the success of CF projects in the Middle East region. Design/methodology/approach This study was conducted in seven Middle Eastern countries (i.e. Turkey, Egypt, Iraq, Saudi Arabia, Bahrain, Kuwait and UAE) in addition to serval CF platforms that are commonly used by crowd funders in this region (such as Kickstarter, GoFundMe, Beehive and Zoomal) with total members (195,193). A pilot sample of 20 units was used to validate and verify the research instrument of the study. The research sample consists of 1,910 respondents from the seven countries included in the study. The study emphasizes the partners, micro-structures, administrative conditions and CF advancement in the Middle East. Findings The findings reveal that CF’s presence positively impacts fundraising success and that CF platforms are an effective financial technology (Fintech) tool for financing entrepreneurs in the Middle East. The study shows that the success of CF projects in the Middle East can be anticipated by estimating and breaking down enormous information of web-based and social media movement, human resources of funders and online venture introduction. The authors conclude with recommendations for future EF and CF research. Originality/value This study aims to analyze the CF and EF principles in the Middle East region as the CF experience and practice in this part of the world tend to be unexplored in terms of research. Presently a very few numbers published research on CF exists. Moreover, to the best of the knowledge, there is no single study investigating CF as an alternative financing source in the Middle East. In particular, the study.
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Crowdfunding is an alternative financing method that is different from traditional startup financing. The purpose of this paper is to comprehensively analyze and identify all the factors that significantly affect crowdfunding success by conducting a meta-analysis over previous studies produced in the last decade. An initial pool of 592 studies were collected. Eventually 53 qualified studies were selected and used in the current paper. From these 53 studies, 26 potential factors are carefully extracted and categorized. These factors are then statistically analyzed to decide which ones can significantly affect crowdfunding success. Our results have shown that crowdfunding success depends on a collection of significant factors, which include fundraiser’s human capital, project location, team size, investor’s experience, project quality and the interactivity on the crowdfunding platform. On the other hand, there are also factors such as herd behavior and social platform postings which have no significant effect on crowdfunding success.
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O crowdfunding, uma forma de captar pequenas quantias de recursos financeiros de várias pessoas, pode ser uma alternativa para o financiamento da inovação tecnológica. Diante desse contexto, o objetivo desse estudo foi avaliar a contribuição do crowdfunding para inovação tecnológica de produto, serviço ou processo, para micro, pequenas e médias empresas (MPMEs) no Brasil. Foi realizada pesquisa multi-métodos, utilizando estratégia exploratória sequencial, com postura epistemológica objetivista, e corte transversal, com coleta retrospectiva de dados relativos ao período de 2010 a 2016. O nível de análise foi o organizacional e a unidade de análise, as campanhas de crowdfunding para inovação tecnológica, com dados coletados junto aos responsáveis pelas campanhas. Foi realizado estudo de casos múltiplos, na fase qualitativa, com dados primários coletados por meio de entrevistas, que foram transcritas na íntegra, e dados secundários disponíveis nas plataformas. Os dados foram tratados por meio de análise de conteúdo qualitativa, utilizando o software Atlas-ti. Na fase quantitativa foi realizado um survey, com dados coletados por meio de questionário online, auto administrado, que foram analisados por meio do software estatístico SPSS. Os resultados indicam que, no Brasil, há alguns aspectos específicos nos modelos do crowdfunding, e especificidades para projetos de inovação tecnológica. As principais contribuições do crowdfunding para as campanhas da amostra foram: facilidade de captar recursos financeiros sem burocracia, nem exigência de garantia real; captação de recursos financeiros com menos riscos para empreendedores; divulgação do produto, do serviço, do projeto ou da empresa; realização de pré-teste do mercado; obtenção de informações sobre a demanda de um produto/serviço em desenvolvimento ou de produto/serviço inovador; e teste da utilização do crowdfunding para financiamento de produto. O teste de hipóteses indicou que: não há relação entre o valor meta e o grau de sucesso do crowdfunding; não há relação entre o tempo de atividade e o grau de sucesso do crowdfunding; não há diferença estatisticamente significativa da média do grau de sucesso do crowdfunding entre os projetos com finalidade lucrativa e os sem finalidade lucrativa; que campanhas de CF financeiro têm maior média do valor meta e maior média do tempo de atividade das empresas/instituições do que campanhas de CF não financeiro; há relação entre o tempo de atividade e o valor meta; a relação entre o valor meta e o grau de sucesso do crowdfunding não sofre influência da finalidade do projeto, do tipo de CF, do tipo de inovação, do porte da empresa/instituição nem da localização; a relação entre o tempo de atividade e o grau de sucesso do crowdfunding não é influenciada pela finalidade do projeto, pelo tipo de crowdfunding, nem pelo porte da empresa/instituição, mas é influenciada pelo tipo de inovação e pela localização. Análises complementares indicaram que: não há diferença estatisticamente significativa da média do grau de sucesso do crowdfunding entre os tipos de crowdfunding, entre os tipos de inovação, entre os portes das empresas/instituições nem entre as localizações; não há relação entre o valor meta e o percentual de captação; há relação entre o tempo de atividade e o percentual de captação; não há diferença estatisticamente significativa da média do percentual de captação entre as finalidades do projeto, entre os tipos de inovação, entre os portes nem entre as localizações, mas há diferença estatisticamente significativa da média do percentual de captação entre os tipos de crowdfunding. O crowdfunding se mostrou importante para projetos de inovação tecnológica de produto, de serviço e de processo, com ou sem finalidade lucrativa, para empresas de micro, pequeno e médio portes, com diferentes tempos de atividade, e também para campanhas não vinculadas a empresas, em várias regiões do Brasil, atendendo à necessidade de volumes distintos de recursos financeiros, por meio do crowdfunding financeiro e do crowdfunding não financeiro, sem diferenças significativas no grau de sucesso do crowdfunding. Entretanto, há dificuldades, que podem ser minimizadas por meio de ações do governo e de associações para o crowdfunding, visando promover o crescimento do crowdfunding no Brasil.
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This study explores whether and how different online platforms to which electronic word of mouth (eWOM) communication is posted influence consumers’ judgements of reviewed products. Additionally, this study examines the moderating role of the valence of eWOM on the platforms–consumer product judgement relationship. Our findings indicated that, other things being equal, participants exposed to the review posted on the personal blog were more likely to attribute the review to circumstances and less likely to recommend the product to friends than those who were exposed to the review either on the independent review website or the brand’s website. The effect of the eWOM platforms on consumer willingness to recommend the product to friends was found only when the review was positive. When the review was negative, however, there were detrimental effects on consumer willingness to recommend the product to friends regardless of the eWOM platform. Practical and theoretical implications of the findings were discussed.
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The combination of limited individual information and costly information acqui-sition in markets for experience goods leads us to believe that significant peer effects drive demand in these markets. In this paper we model the effects of peers on the demand patterns of products in the market experience goods microfund-ing. By analyzing data from an online crowdfunding platform from 2006 to 2010 we are able to ascertain that peer effects, and not network externalities, influence consumption.
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The tremendous amount of information available online has resulted in considerable research on information and source credibility. The vast majority of scholars, however, assume that individuals work in isolation to form credibility opinions and that people must assess information credibility in an effortful and time-consuming manner. Focus group data from 109 participants were used to examine these assumptions. Results show that most users rely on others to make credibility assessments, often through the use of group-based tools. Results also indicate that rather than systematically processing information, participants routinely invoked cognitive heuristics to evaluate the credibility of information and sources online. These findings are leveraged to suggest a number of avenues for further credibility theorizing, research, and practice.
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Trust is emerging as a key element of success in the on-line environment. Although considerable research on trust in the offline world has been performed, to date empirical study of on-line trust has been limited. This paper examines on-line trust, specifically trust between people and informational or transactional websites. It begins by analysing the definitions of trust in previous offline and on-line research. The relevant dimensions of trust for an on-line context are identified, and a definition of trust between people and informational or transactional websites is presented. We then turn to an examination of the causes of on-line trust. Relevant findings in the human–computer interaction literature are identified. A model of on-line trust between users and websites is presented. The model identifies three perceptual factors that impact on-line trust: perception of credibility, ease of use and risk. The model is discussed in detail and suggestions for future applications of the model are presented.
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A questionnaire was administered to one hundred venture capitalists to determine the most important criteria that they use to decide on funding new ventures. Perhaps the most important finding from the study is direct confirmation of the frequently iterated position taken by the venture capital community that above all it is the quality of the entrepreneur that ultimately determines the funding decision. Five of the top ten most important criteria had to do with the entrepreneur's experience or personality. There is no question that irrespective of the horse (product), horse race (market), or odds (financial criteria), it is the jockey (entrepreneur) who fundamentally determines whether the venture capitalist will place a bet at all.
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The credibility of web sites is becoming an increasingly important area to understand. To expand knowledge in this domain, we conducted an online study that investigated how different elements of Web sites affect people's perception of credibility. Over 1400 people participated in this study, both from the U.S. and Europe, evaluating 51 different Web site elements. The data showed which elements boost and which elements hurt perceptions of Web credibility. Through analysis we found these elements fell into one of seven factors. In order of impact, the five types of elements that increased credibility perceptions were “real-world feel”, “ease of use”, “expertise”, “trustworthiness”, and “tailoring”. The two types of elements that hurt credibility were “commercial implications&rdquo ;and “amateurism”. This large-scale study lays the groundwork for further research into the elements that affect Web credibility. The results also suggest implications for designing credible Web sites.
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The relationship between user participation and information system (IS) success has drawn attention from researchers for some time. It is assumed that strong participation of future users in the design of IS would lead to successful outcomes in terms of more IS usage, greater user acceptance, and increased user satisfaction. However, in spite of this, much of the empirical research so far has been unable to demonstrate its benefits. This paper examines the participation–success relationship in a broader context, where the effects of user participation and two other factors, user attitudes and user involvement, on system success occur simultaneously. Other contingency variables considered here are: system impact, system complexity, and development methodology. The theoretical framework and the associated hypotheses are empirically tested by a survey of 32 organizations. Empirical results corroborate the positive link between user participation and user satisfaction and provide evidence on the interplay between user attitudes and user involvement.
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It is an open question as to how impressions formed via computer-mediated communication (CMC) differ from those formed face-to-face (FtF). Some research suggests that judgments of others formed while interacting over CMC are more favorable than judgments formed in FtF, while other researchers argue the pattern is in the opposite direction. We sought to settle this conflict by examining impressions formed via each communication mode while controlling for the other. Participants interacted with a partner twice: once FtF and once CMC. When controlling for each communication mode, participants interacting FtF, formed more positive impressions of their partner than did those in the other sequence. Furthermore, FtF participants had greater self-other agreement then those who interacted via CMC. Implications for impressions formed over the Internet are discussed.
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The personal relationships that companies once had with customers degenerated into the cold automaticity of data- gathering with the widespread adoption of management information systems. By restoring a human face to a company's self-presentation, blogging has been heralded as a paradigm shift in the way companies interact with customers. This study tests a model relating the content of an author's blog posts to readers' responses. It suggests that companies can use blogging to complement customer relationship management processes to the extent their customers exhibit an organic desire to commune by combining provocative informational content with expressions of benevolent intent. Such consumers respond well to these overtures, showing evidence of increased subject-matter involvement, liking and trust. The study also proposes a way to measure diversity of thought in reader comments to guard against being unduly swayed by a vocal minority.
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This paper investigates how angel investors’ human capital affects the valuation of their portfolio companies at initial investment, based on the pre-money valuation of 59 investments in young Belgian companies. We show that entrepreneurs are able to negotiate higher valuations with angel investors who have a business degree, more entrepreneurial experience or previous professional law experience. As such, this result is in contrast with the behavior of venture capital investors. Angel investors with financial experience, however, value their investments lower: their financial background leads them to stress the financial side of the deal more.
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A validated model of trust was used as a framework for an empirical study to identify on- and offline factors that influence gamblers' perception of an online casino's trustworthiness. The results suggest that the quality with which casinos address gamblers' trust concerns by providing appropriate content is the prime factor. However, designing for trust must be part of a consistent strategy that also involves customer service and usability.
Signaling in equity crowdfunding. Entrepreneurship Theory and Practice
  • G K Ahlers
  • D Cumming
  • C Günther
  • D Schweizer
Kickstarter for Dummies
  • A Cebulski
Cebulski, A. 2013. Kickstarter for Dummies. John Wiley & Sons.
Kickstarter For Dummies, For Dummies
  • Aimee Cebulski
Doctoral dissertation
  • R Fernandes
Handbook of Entrepreneurial Finance
  • A Schwienbacher
  • B Larralde
Perceived 'usefulness' of online consumer reviews: An exploratory investigation across three services categories, Electronic Commerce Research and Applications
  • Pradeep Racherla
  • Wesley Friske