A threshold for a q-sorting methodology for computer-adaptive surveys

© 2017 Proceedings of the 25th European Conference on Information Systems, ECIS 2017. All rights reserved. Computer-Adaptive Surveys (CAS) are multi-dimensional instruments where questions asked of respondents depend on the previous questions asked. Due to the complexity of CAS, little work has been done on developing methods for validating their content and construct validity. We have created a new q-sorting technique where the hierarchies that independent raters develop are transformed into a quantitative form, and that quantitative form is tested to determine the inter-rater reliability of the individual branches in the hierarchy. The hierarchies are then successively transformed to test if they branch in the same way. The objective of this paper is to identify suitable measures and a “good enough” threshold for demonstrating the similarity of two CAS trees. To find suitable measures, we perform a set of bootstrap simulations to measure how various statistics change as a hypothetical CAS deviates from a “true” version. We find that the 3 measures of association, Goodman and Kruskal's Lambda, Cohen's Kappa, and Goodman and Kruskal's Gamma together provide information useful for assessing construct validity in CAS. In future work we are interested in both finding a “good enough” threshold(s) for assessing the overall similarity between tree hierarchies and diagnosing causes of disagreements between the tree hierarchies

Attitude contagion in consumer opinion platforms: posters and lurkers

International audienc

Assessment, Implication, and Analysis of Online Consumer Reviews: A Literature Review

The onset of e-marketplace, virtual communities and social networking has appreciated the influential capability of online consumer reviews (OCR) and therefore necessitate conglomeration of the body of knowledge. This article attempts to conceptually cluster academic literature in both management and technical domain. The study follows a framework which broadly clusters management research under two heads: OCR Assessment and OCR Implication (business implication). Parallel technical literature has been reviewed to reconcile methodologies adopted in the analysis of text content on the web, majorly reviews. Text mining through automated tools, algorithmic contribution (dominant majorly in technical stream literature) and manual assessment (derived from the stream of content analysis) has been studied in this review article. Literature survey of both the domains is analyzed to propose possible area for further research. Usage of text analysis methods along with statistical and data mining techniques to analyze review text and utilize the knowledge creation for solving managerial issues can possibly constitute further work. Available at: https://aisel.aisnet.org/pajais/vol9/iss2/4

Improving the service quality of cross-border e-commerce: How to understand online consumer reviews from a cultural differences perspective

IntroductionCross-border e-commerce (CBEC) consumers come from different countries; thus, cultural differences may affect their evaluations and perceptions of service quality. This paper follows Hofstede’s framework as a theoretical anchor to explore how to use online consumer reviews that reflect cultural differences to improve the service quality of CBEC.MethodsFirst, based on a latent Dirichlet allocation model, 14 service quality issues that consumers are concerned about in CBEC were identified. Second, a generalized ordered logistic regression model was explored to analyze the cultural influences on consumer sentiment orientation. Finally, the effect of each cultural dimension on consumer service quality perception in CBEC was evaluated by employing a binary logistic regression model.ResultsThe results showed that consumers paid more attention to the service quality of logistics service, customs efficiency and tariff, shopping experience, and so on. Cultural dimensions significantly impacted consumers’ emotional tendencies. Moreover, cultural dimensions had significant impacts on consumers’ service quality perception (e.g., logistics service, trust in sellers, customs disputes, and cell phone performance). Still, consumers’ quality perceptions of some services (e.g., cell phone functions, items as described, logistics package quality, and gifts) were less affected by cultural dimensions.DiscussionOur findings not only provide new perspectives for CBEC consumer behavior studies on quality improvement but also provide practical implications for CBEC enterprises

Effects of Personalized Travel Destination Visual Image on Travel Motivation

This study examines the personalization of shown travel destination visual images using professional photography upon travel motivations, feelings, and purchase intentions of consumers in the online environment. The research design was experimental and used data from a questionnaire via Qualtrics. A pilot test of the instrument was conducted. The final questionnaire contained 25 items. A total of 194 questionnaires were collected and participants were randomly assigned to one of four groups. Each group of 50 participants was exposed to a specific set of travel destination visual images. Further, several hypotheses related to the effects of personalization, professional photography toward travel motivation, emotion, and purchase intention were tested. The results indicated that: (1) travel motivation was affected by both personalization, and professional photography of travel destination visual image; (2) personalization had an influence on positive emotion, but professional photography did not; (3) it was expected that personalization would act as a “push” factor on travel motivation, and professional photography would influence the “pull” factor on travel motivation, but these two hypotheses were not supported; (4) travel motivation and emotion positively affected purchase intention, however this was only partially supported. Furthermore, the results of the present study implied that the “push – pull” travel motivation theory was considered not entirely separate. Practical recommendations are presented for online tourism marketers to enhance their service