207 research outputs found

    Predicting potential respondents’ decision to participate in web surveys

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    Web-based surveys have received increasing attention given the potential benefits of convenience, low cost, and time saving compared with other survey modes. However, the use of the internet to collect data is restrained by the lack of willingness of people to respond. The objective of this research is to expose the determinants of intention to participate in a web survey. Based on the theory of reasoned action, this research proposes a model encompassing attitude toward a web survey, social norm, moral obligation, trust in the sponsor of a survey, topic involvement, topic sensitivity, and reputation of the sponsor to predict a potential respondent’s web survey participation intention. We examine the proposed model using a structural equation modelling procedure. The results indicate that attitude, social norm, moral obligation, reputation of sponsor, and trust in the sponsor exert positive effects on participation intentions in web surveys; attitude mediates the relationship between topic involvement and participation intention. However, topic sensitivity of the web survey has no effect either on attitude or on participation intention

    Predicting potential respondents’ decision to participate in web surveys

    Get PDF
    Web-based surveys have received increasing attention given the potential benefits of convenience, low cost, and time saving compared with other survey modes. However, the use of the internet to collect data is restrained by the lack of willingness of people to respond. The objective of this research is to expose the determinants of intention to participate in a web survey. Based on the theory of reasoned action, this research proposes a model encompassing attitude toward a web survey, social norm, moral obligation, trust in the sponsor of a survey, topic involvement, topic sensitivity, and reputation of the sponsor to predict a potential respondent’s web survey participation intention. We examine the proposed model using a structural equation modelling procedure. The results indicate that attitude, social norm, moral obligation, reputation of sponsor, and trust in the sponsor exert positive effects on participation intentions in web surveys; attitude mediates the relationship between topic involvement and participation intention. However, topic sensitivity of the web survey has no effect either on attitude or on participation intention

    Users\u27 Attributes Associated with High-Quality Review in Online Communities

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    High-quality review within an online review community greatly determines the survival and success of the online community. As such, it is crucial for community operators to understand which kinds of users are more likely to share publish high-quality review, a topic not yet adequately investigated in e-commerce research. We used a unique dataset from a large traveling community, and examined which users’ characteristics are associat ed with the high-quality review publishing behavior. Results show that reviewers\u27 status, knowledge and rating comprehensiveness is positively associated with review quality. Moreover, we reveal that there exists an inverted U-curve relation between review length and review quality. The similar relation also exists between picture number and review quality. Further, we show that reviewers who have more experience, knowledge, intimate interpersonal relationship- are more likely to be motivated by a high-quality review engagement policy. The results can improve our understanding on the sharing behavior in online communities, and offer managerial implication to the community operators

    Antecedents driving the different levels of behavioral engagement in online travel communities

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    With the rapid development of online travel communities, understanding the determinants of users ’ engagement with the online travel communities is critically important for researchers and practitioners. The purpose of this study is to understand which environmental cues drive the engagement behaviors. Specifically, by using a rich data set from a large travel knowledge sharing website and seemingly unrelated regression model, we investigate and compare the antecedents leading to two different behavioral engagements including liking and social interaction. We find that information-, source-, and social interaction-level cues are associated with these behavioral engagements. The results also demonstrate the differential effectiveness of these cues between these two engagement behaviors. Our empirical findings provide theoretical and practical implication for online travel community operators to build a vibrant and successful online travel community

    Exploring enterprises competition: From a perspective of massive recruitment texts mining

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    Extant research has made limited efforts to conduct competitive intelligence analysis based on recruitment texts. To fill the gap, this study proposes a method for deriving and analyzing competitive relationships, identifying competition paths, and calculating asymmetric competitiveness degrees, from the recruitment texts on e-recruiting websites. Specifically, this study developed a competitive evaluation index system for companies’ skill needs and resource base based on 53,171 job descriptions and 42,641 company profiles published by companies across 8 industries (including 35 industry segments) using automated text processing methods. Furthermore, in order to identify competitive paths and calculate the degree of asymmetric competitiveness, this study proposes a modified bipartite graph approach (i.e., MBGA) for competitive intelligence analysis of recruitment texts based on the competition evaluation index system. Experiments on a real-world dataset of the representative companies clearly validated the effectiveness of the method. Compared to the five state-of-the-art methods, MBGA performs better in disclosing the overall competition and is more accurate in terms of the error rating ratio (i.e., ERR) of the competition

    Participation Willingness in Web Surveys: Exploring Effect of Sponsoring Corporation’s and Survey Provider’s Reputation

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    Prior research involving response rates in Web-based surveys has not adequately addressed the effect of the reputation of a sponsoring corporation that contracts with a survey provider. This study investigates the effect of two factors, namely, the reputation of a survey’s provider and the reputation of a survey’s sponsoring corporation, on the willingness of potential respondents to participate in a Web survey. Results of an experimental design with these two factors reveal that the sponsoring corporation’s and the survey provider’s strong reputations can induce potential respondents to participate in a Web survey. A sponsoring corporation’s reputation has a greater effect on the participation willingness of potential respondents of a Web survey than the reputation of the survey provider. A sponsoring corporation with a weak reputation who contracts with a survey provider having a strong reputation results in increased participation willingness from potential respondents if the identity of the sponsoring corporation is disguised in a survey. This study identifies the most effective strategy to increase participation willingness for a Web-based survey by considering both the reputations of the sponsoring corporation and survey provider and whether to reveal their identities

    The equivalence of Internet versus paper-based surveys in IT/IS adoption research in collectivistic cultures: the impact of satisficing

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    An increasing proportion of information technology (IT)/information system adoption research collects data using online surveys. However, a paucity of research assesses the equivalence of paper-based versus Internet-based surveys in collectivistic cultures. Furthermore, no theoretical or empirical research investigates how cultural differences between collectivistic and individualistic cultures influence the measurement equivalence (ME) of these survey modes. To explore these issues, online and paper-based surveys with comparable samples were carried out in both an individualistic (the USA) and a collectivistic culture (China). Confirmatory factor analysis was conducted to examine the ME across both survey modes in these different cultures. Results indicate that the relatively larger satisficing discrepancy between paper and online surveys causes respondents in collectivistic cultures to have an increased likelihood of providing responses that vary as compared to respondents in individualistic cultures. The disparate responses, in turn, result in increased measurement variance between the two survey modes. The findings of this study bridge a gap in the literature and address the question of how culture influences online satisficing behaviour and how that behaviour causes measurement invariance across survey modes. This study also explains the possible underlying mechanisms by which different national cultures exert their influence on survey results. The findings provide important implications for IT researchers, especially those in collectivistic cultures or those who need to collect data in collectivistic cultures using online surveys or mixed-mode surveys that include an online survey mode

    Participation Willingness in Web Surveys: Exploring Effect of Sponsoring Corporation’s and Survey Provider’s Reputation

    Get PDF
    Prior research involving response rates in Web-based surveys has not adequately addressed the effect of the reputation of a sponsoring corporation that contracts with a survey provider. This study investigates the effect of two factors, namely, the reputation of a survey’s provider and the reputation of a survey’s sponsoring corporation, on the willingness of potential respondents to participate in a Web survey. Results of an experimental design with these two factors reveal that the sponsoring corporation’s and the survey provider’s strong reputations can induce potential respondents to participate in a Web survey. A sponsoring corporation’s reputation has a greater effect on the participation willingness of potential respondents of a Web survey than the reputation of the survey provider. A sponsoring corporation with a weak reputation who contracts with a survey provider having a strong reputation results in increased participation willingness from potential respondents if the identity of the sponsoring corporation is disguised in a survey. This study identifies the most effective strategy to increase participation willingness for a Web-based survey by considering both the reputations of the sponsoring corporation and survey provider and whether to reveal their identities

    Measurement Equivalence of Web Surveys Based on Social Media

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    Web surveys have become a very important way of empirical research. The rise of social media provides a new platform for web surveys. Investigators can collect data based on different social media platforms to get more respondents of higher external validity at a lower cost. However, there is no domestic expert and scholar to conduct related researches on web surveys based on social media. This paper studies the measurement equivalence of surveys among BBS, micro blog and SNS using CFA. The result shows that three surveys have the same basic structure, factor loading matrix and factor covariance matrix; moreover, the intercepts are equivalent across micro blog and SNS
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