A Social Referral Mechanism for Job Reference Recommendation

Recently, with the popularity of various social media, this new trend of information technologies has impacted our lives, redefined the way we interact with each other, and facilitated the communication and influence cross different social groups, such as enhancing the power of social search and appraisal. _x000D_ In this research, we mainly focus on this mystery process of information exchanges existing long ago on the base of sociology and apply this power in the field of job seeking. Considering the factors of both willingness and influence, we generate the list of proper reference candidates to desired job for job seekers to provide more job-related information or to be referrals. Integrating the knowledge of human resources management, we implement this social referral application with the support of information technologies and strive to enrich the service of social media, turning the passively searching for job seeking to actively consulting for exclusively job information._x000D

Hotel selection utilizing online reviews: a novel decision support model based on sentiment analysis and DL-VIKOR method

With the considerable development of tourism market, as well as the expansion of the e-commerce platform scale, increasing tourists often prefer to select tourism products such as services or hotels online. Thus, it needs to provide an efficient decision support model for tourists to select tourism products. Online reviews based on the user experience would help tourists improve decision efficiency on tourism products. Therefore, in this study, a quantitative method for hotel selection with online reviews is proposed. First, with respect this problem with online reviews, by analyzing sentiment words in online reviews, tourists’ sentiment preferences are transformed into the format of distribution linguistic with respect to sentiment levels. Second, from a theoretical perspective, we proposed a method to determine the ideal solution and nadir solution for distribution linguistic evaluations. Next, based on the frequency of words for evaluating hotel and the distribution linguistic evaluations, the weight vector of the evaluation features is determined. Further, a novel DL-VIKOR method is developed to rank and then to select hotels. Finally, a realistic case from TripAdvisor.com for selecting hotel is used to demonstrate practically and feasibility of the proposed model. First published online 19 July 201

The impact of influencers in the consumer's purchase intention: The cosmetic industry

Social media is now part of people’s everyday lives. The digital era brought many opportunities, but also many challenges and queries as to what the best way to promote brands and products on social media is. Several businesses are now investing on influencer marketing, even though it is an intensely debated marketing strategy that is still lacking investigation regarding its application. In order to contribute towards this field of research, this study aims to evaluate the impact of social media influencers in the purchase intention of a cosmetic product and further understand which characteristics have a higher influence in the purchase intention. The literature review gives a comprehensive overview of social media marketing. A framework was developed based on the literature review which revealed the social media influencer’s characteristics that might impact the purchase intention of a cosmetic product. In order to test the framework hypothesis, an online survey was conducted which had 338 respondents. The results revealed that homophily and argument quality have a higher impact on the consumer’s purchase intention than popularity, expertise and interactivity. Additionally, it was also evidenced that the social media influencer’s trustworthiness and likability do not have an influence in the consumer’s purchase intention when considering a cosmetic product. Other relevant conclusions were established, suggesting that this them could bring several managerial, academic and marketing implications. With these contributes, managers can make conscious decisions when determining which characteristics to look for when deciding to collaborate with social media influencers.As pessoas passam muito do seu tempo nas redes sociais e a era digital trouxe muitos desafios e questões relativamente a qual a melhor forma de promover marcas e produtos nas redes sociais. Muitas empresas estão agora a investir em marketing de influência, apesar de ainda ser uma estratégia de marketing muito debatida e que ainda não tem muita investigação quanto à melhor forma de aplicação. Com o objetivo de prestar um contributo, este estudo pretende avaliar o impacto dos influenciadores digitais na intenção de compra de um produto de cosmética e investigar quais as características que têm mais impacto na intenção de compra. A revisão de literatura expõe uma visão geral sobre social media marketing. Foi desenvolvido um modelo com base na revisão de literatura, ilustrando as características dos influenciadores digitais que podem ter impacto na intenção de compra de um produto de cosmética. Para testar as hipóteses do modelo, foi desenvolvido um questionário online que obteve 338 respostas. Os resultados revelaram que a homofilia e a qualidade do argumente têm um impacto mais elevado na intenção de compra do consumidor que a popularidade, expertise e a interação. Adicionalmente, também foi possível retirar que a fidedignidade e simpatia do influenciador digital não têm impacto na intenção de compra de um produto de cosmética. Outras conclusões relevantes foram retiradas, sugerindo várias implicações a nível da gestão, investigação e do marketing. Contribuindo para que managers possam melhor selecionar as características que devem analisar quando decidirem colaborar com influenciadores digitais

Conceptualizing the Electronic Word-of-Mouth Process: What We Know and Need to Know About eWOM Creation, Exposure, and Evaluation

Electronic word of mouth (eWOM) is a prevalent consumer practice that has undeniable effects on the company bottom line, yet it remains an over-labeled and under-theorized concept. Thus, marketers could benefit from a practical, science-based roadmap to maximize its business value. Building on the consumer motivation–opportunity–ability framework, this study conceptualizes three distinct stages in the eWOM process: eWOM creation, eWOM exposure, and eWOM evaluation. For each stage, we adopt a dual lens—from the perspective of the consumer (who sends and receives eWOM) and that of the marketer (who amplifies and manages eWOM for business results)—to synthesize key research insights and propose a research agenda based on a multidisciplinary systematic review of 1050 academic publications on eWOM published between 1996 and 2019. We conclude with a discussion of the future of eWOM research and practice