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From the perspectives of service-dominant logic and social identity theory, this study aims to assess social networking site (SNS) users’ likes as a form of social endorsement as well as its effects on like-clicking behavior, perceived brand value, customer-brand identification and purchase intention. Furthermore, the different effects of social endorsement on the perceived functional, hedonic, social and monetary brand value were investigated so as to support SNS users’ role as value cocreators.

An online survey was administered as a pretest of customer perceptions regarding brands that are liked on SNSs. Next, an experiment was conducted to verify the effects of social endorsement. A mixed-method approach including partial least squares (PLS) and fuzzy set qualitative comparative analysis (fsQCA) was adopted for the data analysis.

The results revealed that like-clicking behavior could be contagious because SNS users exposed to others’ likes were more likely to click the like button themselves. Like-clicking behavior positively influenced the perceived functional, hedonic, social and monetary value of the liked brand. Perceived brand value strengthened customer-brand identification, thereby increasing purchase intention.

Like-based social endorsements were confirmed as a type of value cocreation behavior that benefits the endorsed brand by spreading brand awareness, and increasing customer acquisition and retention. An fsQCA approach was developed to measure the moderating effect of users’ propensity to click the like button on perceived brand value, thus contributing to the advancement of fsQCA.

Expert profiling plays an important role in expert finding for collaborative innovation in research social networking platforms. Dynamic changes in scientific knowledge have posed significant challenges on expert profiling. Current approaches mostly rely on knowledge of other experts, contents of static web pages or their behavior and thus overlook the insight of big social data generated through crowdsourcing in research social networks and scientific data sources. In light of this deficiency, this research proposes a big data-based approach that harnesses collective intelligence of crowd in (research) social networking platforms and scientific databases for expert profiling.

A big data analytics approach which uses crowdsourcing is designed and developed for expert profiling. The proposed approach interconnects big data sources covering publication data, project data and data from social networks (i.e. posts, updates and endorsements collected through the crowdsourcing). Large volume of structured data representing scientific knowledge is available in Web of Science, Scopus, CNKI and ACM digital library; they are considered as publication data in this research context. Project data are located at the databases hosted by funding agencies. The authors follow the Map-Reduce strategy to extract real-time data from all these sources. Two main steps, features mining and profile consolidation (the details of which are outlined in the manuscript), are followed to generate comprehensive user profiles. The major tasks included in features mining are processing of big data sources to extract representational features of profiles, entity-profile generation and social-profile generation through crowd-opinion mining. At the profile consolidation, two profiles, namely, entity-profile and social-profile, are conflated.

(1) The integration of crowdsourcing techniques with big research data analytics has improved high graded relevance of the constructed profiles. (2) A system to construct experts’ profiles based on proposed methods has been incorporated into an operational system called ScholarMate (www.scholarmate.com).

One shortcoming is currently we have conducted experiments using sampling strategy. In the future we will perform controlled experiments of large scale and field tests to validate and comprehensively evaluate our design artifacts.

The business implication of this research work is that the developed methods and the system can be applied to streamline human capital management in organizations.

The proposed approach interconnects opinions of crowds on one’s expertise with corresponding expertise demonstrated in scientific knowledge bases to construct comprehensive profiles. This is a novel approach which alleviates problems associated with existing methods. The authors’ team has developed an expert profiling system operational in ScholarMate research social network (www.scholarmate.com), which is a professional research social network that connects people to research with the aim of “innovating smarter” and was launched in 2007.

The study explores the role of dialogic public communication and information quality (IQ) in evaluating the operational performance of donation-based crowdfunding (DBC) tasks. These tasks are primarily used to support disaster relief operations. The authors also test the influence of cognitive trust and swift trust as moderating variables in explaining the relationship between both IQ and dialogic communication with operational performance.

The authors used a primary survey to test the hypotheses. A total of 203 responses were collected from multiple crowdfunding platforms. The authors used archival data from task creators on donation-based crowdfunding platforms, and a structured questionnaire is also used to collect responses. Data are analyzed using Warp PLS 6.0. Warp PLS 6.0 works on the principle of partial least square (PLS) structured equation modeling (SEM) and has been used widely to test path analytical models.

The authors found out that the operational performance is explained significantly by the quality of information and its association with dialogic public communication. The results support the arguments offered by dialogic public communication theory and trust transfer theory in assessing the operational success of DBC. The study also confirms that cognitive trust positively moderates the relationship between IQ and organizational public dialogic communication and operational performance. It is also revealed that the duration of the DBC task has no significant control over dialogic public communication.

The study lays practical foundations for task creators on DBC platforms and website designers as it sets the importance of both IQ and dialogic communication channels. The communication made by the task creator and/or the DBC platforms with the donors and potential donors in the form of timely and appropriate information forms the key to the success of any DBC task. The study also helps task creators choose a suitable platform to improve performance.

The authors propose a unique framework by integrating two theoretical perspectives: dialogic public relation theory and trust transfer theory in understanding the operational performance of donation-based crowdfunding tasks. The authors address DBC tasks catering to disaster relief operations by collecting responses from task creators on DBC platforms. The study uniquely positions itself in the area of information and communication.

This study’s aim is to investigate the role of investor communication in equity-based crowdfunding. The study explores whether and how investor communication can reduce information asymmetries between investors and new ventures in equity-based crowdfunding, thereby facilitating the crowd’s investment decisions.

This paper follows an exploratory qualitative research approach based on semi-structured interviews with 23 market participants in equity-based crowdfunding: 12 investors, 6 new ventures and 5 third parties (mostly platform operators). After analyzing, coding and categorizing the data, this paper developed a theoretical framework and presented it in a set of six propositions.

The results indicate that the venture’s overall impression – especially perceived sympathy, openness and trustworthiness – is important to reduce perceived information asymmetries of investors in equity-based crowdfunding. To communicate these soft facts, personal communication seems to be replaced by pseudo-personal communication over the Internet (e.g. videos, investor relations channels and social media). In addition, the communications of third parties (e.g. other crowd investors, professional and experienced investors and other external stakeholders) influence the decision-making process of investors in equity-based crowdfunding. Third-party endorsements reduce the perceived information asymmetries and lower the importance of pseudo-personal communications by the venture.

Prior research shows that investor communication reduces information asymmetries between companies and investors. Currently, little is known about the role of investor communication in equity-based crowdfunding. This study focuses on the role of investor communication to reduce the perceived information asymmetries of investors in equity-based crowdfunding.

The purpose of this study is to investigate how influencer endorsement services stimulate funding intention in the context of crowdfunding (donation- and reward-based) and the moderating role played by platform trufvst and funder expertise.

To explore the effects of influencer endorsement services (i.e. perceived congruence, social influence and motivation) on funding intention in different crowdfunding campaigns, the authors developed a conceptual model tested using structural equation modelling. The authors also investigated two potential moderators underlying this relationship: platform trust and funder expertise.

The results of the study indicate that there was a positive effect of influencer endorsement services through the dimension congruence and the funding intention, both for reward- and donation-based crowdfunding. Moreover, they suggest that while perceived congruence has a positive effect on funding intention, when the two contexts are compared, only the moderating roles of platform trust over motivation and the funder expertise over motivation are significant and relevant.

The study has implications for both funders and those who seek to raise money for crowdfunding campaigns. The results offer new insights for developing effective crowdfunding campaigns, e.g. leveraging communication strategies based on the context of the crowdfunding (reward- vs donation-based) and the use of influencers as endorsers.

The present study is, to the best of the authors’ knowledge, the first to examine the impact of influencer endorsement services on crowdfunding campaigns, shedding new light on the interdisciplinary connections between service marketing and entrepreneurial finance in terms of fundraising activities. The study opens new and previously under-investigated interdisciplinary research streams. It deepens our understanding of a particular issue relating to the marketing and crowdfunding domain by measuring the impact of the influencer’s endorsement on people’s intention to participate in two different campaigns.

The purpose of this paper is to utilise projective techniques as a method to capture and understand consumer reactions to celebrity‐endorsed perfumes. The paper illustrates how projective techniques can aid practitioners in their selection of celebrity endorsers.

The paper is part of a wider tradition of returning to qualitative methods when research based on existing theories offers only partial or little support for them. In total, 16 females participated in the study, which utilised a range of projective techniques, including picture association. For the latter, participants were exposed first to advertisements for two leading perfumes alone and then these advertisements incorporating four contrasting celebrity endorsers. Associations and reactions to the advertisements with and without celebrity endorsers were compared.

The analysis identifies that celebrity endorsers may have a significant impact on the perceived target market for a product, highlighting their potential role in repositioning a brand. However, the celebrity may crowd out the endorsed product. The role of personal liking is critical, although this is ignored in existing source models of celebrity endorsement.

The application of projective techniques demonstrates their usefulness in capturing responses to celebrity endorsements. The paper uncovers some of the reasons why previous research has generated results that only partially support the existing main theoretical frameworks.

The purpose of this paper is to investigate the effects of creator credibility and backer endorsement on the levels of donation to crowdfunding campaigns in a focal muslim community and to determine the success factors of projects in developing and developed countries.

This research adopts a quantitative approach, utilizing 223 crowdfunding projects from LaunchGood to examine the expected connections. The crowdfunding projects in the distinctive data set (Ramadan) are similar, permitting exploration of the role of creator credibility and backer endorsement in a unique context of religious-based crowdfunding activity.

Creators’ credibility and backers’ endorsements are decisive factors in crowdfunding success. Results from an additional test related to location (developing and developed countries) suggest that creators’ credibility is more important than backers’ endorsements, especially in developing countries.

The projects used in the data set are homogenous and take place in a specific context. The limited number of available observations influences the testing function and capacity of the models and variables. Further, the investigation is related to a specific community, so might not be applicable to all communities.

Potential supporters from the community are vital for the success of crowdfunding projects. This study informs campaign efforts in a religious community by stressing the importance of creators’ credibility and backers’ endorsements. The study also sheds light on factors that affect crowdfunding success in developing and developed countries.

This study helps to explain successful crowdfunding practices in donation-based crowdfunding projects within a religious community context. Results improve scholars’ ability to comprehend individuals’ supporting behavior, providing empirical evidence of creators’ credibility and backers’ endorsement on project success. The study also addresses the determinants of crowdfunding success in developing and developed countries.

The purpose of this study is to investigate the effects of the innovativeness-related language of crowdfunding pitches on funding outcomes under different boundary conditions specified by two context-relevant signals, entrepreneurial passion and social endorsement.

This study develops six hypotheses about the focal impacts of innovativeness-related language (i.e. incremental and radical) and the moderating effects of entrepreneurial passion and social endorsement. The hypotheses are tested with a sample of 1,057 real projects collected from a typical platform with a computer-aided content analysis method.

This study finds that pitches containing more incremental innovativeness language can generate more funds and that those containing more radical innovativeness language can lead to less favorable funding outcomes. While incremental innovativeness language interacts with entrepreneurial passion language to positively affect funding outcomes, radical innovativeness language requires social endorsement to diminish its negative effect on funding outcomes.

This study demonstrates that the content of messages of entrepreneurial narratives does indeed drive funding success in the context of reward-based crowdfunding and confirms the relevance of the consumer perspective of reward-based crowdfunding by using a real dataset.

This work joins a number of entrepreneurial narrative studies investigating the impacts of the innovativeness-related language of pitches (issue-relevant content) and their interactions with informational signals (i.e. entrepreneurial passion and social endorsement) on funding outcomes in the context of reward-based crowdfunding.

The purpose of this paper is to compare two competing models denoting two dimensions (hedonic and utilitarian) and three dimensions (hedonic, utilitarian and social) of the construct “value” and investigates their relative influence on satisfaction, future patronage intention (FPI) and word-of-mouth (WoM) in a hypermarket context. Additionally, the study examines if these relationships are contingent upon gender and shoppers’ perception of retail crowding.

The proposed models and the hypotheses were tested using structural equation modelling, across two cross-sectional studies (n1=268, n2=259). The multi-group analysis was used to test moderated relationships.

The study demonstrates that satisfaction mediates the impact of shopping value on FPI and WoM. The model that includes utilitarian, hedonic and social value explains higher variance in satisfaction and WoM than that is evidenced in the alternate model comprising utilitarian and hedonic values. Shoppers’ gender and perceived retail crowding moderate the influence of shopping value on satisfaction.

Retail managers should understand that enjoyable and social shopping experience of the consumers lead to satisfaction, which in turn plays a pivotal role in the formation of FPI and WoM. Managers discern that a moderate level of crowding is better than the extremely low or high level of density.

Amidst a lack of unanimity on the dimensionality of shopping value, this is one of the first studies to evaluate the two theoretical models of shopping value having two dimensions and three dimensions, respectively. An understanding of gender and retail crowding perceptions is crucial in shopping value judgments.