88 research outputs found

    The Influence of Word-of-Mouth on Customer Loyalty to Social Commerce Websites

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    The term Social Commerce (s-commerce) is used to describe an emerging trend where the seller and buyer are connected to the online social media networking. Customer loyalty is an important tool for developing future marketing business strategies in s-commerce field. Moreover, the effect of WOM on customer loyalty is also very important to the stability and sustainability of an s-commerce platform. While customer loyalty and WOM have been examined widely in different research contexts, the issue of customer loyalty in the context of s-commerce currently represents a gap in the literature. Therefore, the objective of this study is to identify the influence of WOM on customers’ loyalty to s-commerce websites. This research will gather survey data and applies structural equation modeling SEM to analyze the data. The findings will provide insights for s-commerce industries in developing strategies for improved implementation of s-commerce as well as the design of s-commerce sites

    REINA at RepLab2013 Topic Detection Task: Community Detection

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    [EN]Social networks have become a large repository of comments which can extract multiple information. Twitter is one of the most widespread social networks and larger and is therefore an important source for detecting states of opinion, events and happenings before even the mainstream media. Topic detection is important to discover areas of interest that arise in the tweets. We have used classical systems for a similarity matrix and we have used community detection techniques. The results have been good and allows us to study new possibilities

    REINA at RepLab2013 Topic Detection Task: Community Detection

    Get PDF
    Social networks have become a large repository of comments which can extract multiple information. Twitter is one of the most widespread social networks and larger and is therefore an important source for detecting states of opinion, events and happenings before even the mainstream media. Topic detection is important to discover areas of interest that arise in the tweets. We have used classical systems for a similarity matrix and we have used community detection techniques. The results have been good and allows us to study new possibilities

    Impact of web and digital experience on the stickiness of third party hotel website / Nina Farisha Isa...[et al]

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    The rapid development and use of mobile technologies has changed the way of our everyday lives, especially individual that feel a sense of experience as a tool for enhancing task performance. In addition, mobile technologies also have changed the way marketers and consumers communicate. However, digital experience is still a largely unexplored concept in both hospitality research and practice. Drawing from the literature on human computer interaction in information system and flow theory in consumer behavior research, this study theoretically identifies and empirically explores the concept of flow through experience and its antecedents (i.e., web experience and digital experience on the outcome, and web stickiness) in the hotel context. Using eCommerce website and mobile technologies as the target, an offline and online survey will be conducted. This study contributes theoretically and empirically to the body of IS use research and has managerial implications, suggesting that web experience and digital experience is a necessary condition for stick to the websites. As a result, by improving user’s experience through digital applications is critical to build strong relationships with the consumers

    Understanding the Turnover Intention of Crowd Workers of Microtask Crowdsourcing Platform

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    Microtask crowdsourcing is a relatively new work form enabled by information technologies. For both practitioners and academics, understanding the turnover intention of the users, requesters and crowd workers respectively, of microtask crowdsourcing is very important. However, compared with the relatively large literature on requester, studies focusing on worker crowd workers are limited. Therefore, in this study, we investigate the crowd workers’ intentions to leave the microtask crowdsourcing. The research goal is to analyze the motivations of crowd workers systematically and identify those factors that influenced their turnover intention. Based on perceived value and justice perspectives, a research model is developed. The proposed hypotheses will be tested using data from Amazon Mechanical Turk

    PENGARUH SERVICE QUALITY, SATISFACTION, STICKINESS, DAN USAGE INTENTION PADA PENGGUNAAN APLIKASI WHATSAPP DI SURABAYA

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    The purpose of this research is to understand and analyze the influenceof service quality, satisfaction, stickiness toward usage intentionon the application of WhatsApp in Surabaya. Data processing was conducted using software SPSS AMOS 20. The sampling technique thatused is non-probability sampling. 150 respondents, who qualify the specified characteristics of the population were the total of sample used in this research whichdistributed by off line quetionaire. The result of this research that there was a positive influence betweenenvironment quality on satisfaction, a positive influence between outcome quality on satisfaction, a positive influence between satisfaction on usage intention, a positive influence between satisfaction on stickiness, a positive influence between stickiness on usage intention and mediating role of stickiness between satisfaction and usage intention is confirmed

    The impact of brand communication on brand equity through Facebook

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    Purpose: The purpose of this study is to fill the gap in the discussion of the ways in which firm-created and user-generated social media brand communication impacts consumer-based brand equity metrics through Facebook. Design/methodology/approach: We evaluated 302 data sets that were generated through a standardized online-survey to investigate the impact of firm-created and user-generated social media brand communication on brand awareness/associations, perceived quality, and brand loyalty across 60 brands within three different industries: non-alcoholic beverages, clothing, and mobile network providers. We applied structural equation modeling techniques (SEM) to investigate the effects of social media brand communication on consumers’ perception of brand equity metrics, as well as in an examination of industry-specific differences. Findings: The results of our empirical studies showed that both firm-created and user-generated social media brand communication influence brand awareness/associations; whereas, user-generated social media brand communication had a positive impact on brand loyalty and perceived brand quality. Additionally, there are significant differences between the industries being investigated. Originality/value: This article is pioneering in that it exposes the effects of two different types of social media brand communication (i.e., firm-created and user-generated social media communication) on consumer-based brand equity metrics, a topic of relevance for both marketers and scholars in the era of social media. Additionally, it differentiates the effects of social media brand communication across industries, which indicate that practitioners should implement social media strategies according to industry specifics to lever consumer-based brand equity metrics

    “Facebook Distress”: A Model to Investigate Discontinuation of Social Networking Site Use

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    The study proposes a model to investigate discontinuation of social networking site use based on gratification and distress factors. The model of two contrasting beliefs is founded on Social Exchange Theory (Homans, 1958). The study reviews past research of user motivations to participate in social networking sites, and identifies gratification factors of using the sites, however, uses methods from thematic analysis (Aronson, 1994; Barun & Clarke, 2006) to identify the factors that cause use-based distress. Drawing on the recognition of these two contrasting beliefs and two forms of affective reactions, the article argues that users make cost-benefit assessments leading to post-adoption decisions on whether to continue or discontinue social networking site use. The article concludes with several theoretical and practical contributions
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