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Hosseini, Rahil. "Browsing through products and people: online review, ratings, and swiping". Doctoral thesis, Universitat Pompeu Fabra, 2020. http://hdl.handle.net/10803/670200.
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In this thesis, I explored three topics, each addressing a different aspect online search for products and people. In chapter one, we investigated whether consumers’ response to online product reviews depends, not only on static dimensions but also on more dynamic features such as narrative style. We showed that depending on the review’s narrative style, consumers engage in an imaginary social interaction with the reviewer that significantly improves recommendation acceptance. The topic of interest in chapter two is product evaluation based on online product ratings. More specifically, we measured the relative effects of ratings expressed on larger versus smaller scales. The results suggest that when consumers aggregate ratings from different online product review websites, ratings expressed on larger scales have a stronger effect on product evaluation. In chapter three, we examined online dating and tested whether partner search via swift evaluation of profile photos, as is typical for apps such as Tinder, would promote a commodified view of other people. The findings provided evidence for a reduced perception of humanness in others, and lower fairness considerations after a date search task.En esta tesis, he explorado tres temas, cada uno abordando un aspecto diferente de la búsqueda en línea de productos y personas.. En el capítulo uno, investigamos si la respuesta de los consumidores a las opiniones de productos en línea depende, no solo de las dimensiones estáticas, sino también de las características más dinámicas como el estilo narrativo. Demostramos que, según el estilo narrativo de la opinión, los consumidores participan en una interacción social imaginaria con el escritor que mejora significativamente la aceptación de las recomendaciones. En el capítulo dos nos centramos en la evaluación de productos basada en calificaciones de productos en línea. Más específicamente, medimos los efectos relativos de las calificaciones expresadas en escalas más grandes versus más pequeñas. Los resultados sugieren que cuando los consumidores agregan calificaciones de diferentes sitios web , las calificaciones expresadas en escalas más grandes tienen un efecto más fuerte en la evaluación del producto. En el capítulo tres, examinamos las citas en línea y comprobamos si la búsqueda de pareja a través de una evaluación rápida de las fotos de perfil, como es típico en aplicaciones como Tinder, promueveuna visión comercial de los demás. Los hallazgos muestran un incremento en la deshumanización hacia los demás, así como menores consideraciones de equidad después de una tarea de búsqueda de citas.
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Walters, Jeromie L. "Online Evaluation System". University of Akron / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=akron1113514372.
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Costa, Hugo Miguel dos Santos. "O impacto das online reviews no download das aplicações móveis, em Portugal". Master's thesis, Instituto Superior de Economia e Gestão, 2019. http://hdl.handle.net/10400.5/19508.
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Mestrado em Gestão de Sistemas de InformaçãoO objetivo deste projeto pretende contribuir para o estudo de mercado das aplicações móveis em Portugal. Ao perceber e interpretar o feedback dos utilizadores portugueses os programadores, designers, comerciais e todas pessoas envolvidas nos lançamentos de aplicações poderão investigar e investir mais em aspetos, configurações e características que os utilizadores encontrem ser mais importantes e relevantes levando, então, quer ao sucesso da equipa, quer à satisfação dos utilizadores. Para tal, foi realizado um estudo através da formulação de um questionário, onde foram definidas variáveis com base nas preferências gerais de análise dos utilizadores e ainda com base nas normas internacionais criadas pela organização ISO, mais especificamente as normas ISO/IEC 9126-1:2000 e a ISO/IEC 25012. Posteriormente foi feita uma análise estatística com recurso a dois softwares Microsoft Office Excel e IBM SPSS Statistcs 25, que permitiram organizar a informação, assim como obter os resultados dos testes e análises estatísticas. Concluiu-se que, para os utilizadores portugueses, os comentários detalhados são mais impactantes que os comentários emocionais, que a avaliação geral de uma aplicação tem mais valor que os comentários e ainda que a norma ISO/IEC 9126-1:2000 é mais importante para a avaliação de uma aplicação.
The objective of this project will contribute to the market study of mobile applications in Portugal. By understanding and interpreting feedback from Portuguese users the developers, designers, commercials and everyone involved in releasing applications will be able to investigate and invest more in aspects, configurations and features that users find to be most important and relevant, thus leading to both team's success and user satisfaction. To this end, a study was carried out through the formulation of a survey, where variables were based on the general preferences of users analysis and also based on the international standards created by the ISO organization, specifically ISO / IEC 9126-1: 2000 and ISO / IEC 25012. Subsequently, a statistical analysis was performed using two softwares, the Microsoft Office Excel and the IBM SPSS Statistcs 25, which allowed the information to be organized, as well as find the results of the tests and statistical analyzes. It was possible to conclude that for the Portuguese users, detailed comments are more impactful than emotional comments, that the overall evaluation of an application has more value than comments, and that ISO / IEC 9126-1: 2000 is most important for the evaluation of an application.
info:eu-repo/semantics/publishedVersion
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Ahsan, Ayesha. "Consumer ratings-reviews and its impact on consumer purchasing behavior". Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-219309.
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Storytelling is one of the most creative, powerful and effective tools of modern marketing strategies and communication. Due to the expansion of social media, storytelling has become a popular marketing and sales tool that may affect consumer behavior. This research has been conducted from a storytelling perspective with the purpose of finding the correlation between consumer reviews and consumer purchasing behavior. This study focuses on consumer stories which are reflected in terms of product reviews and ratings. Where the correlation between these reviews and ratings and their effects on overall product sales are investigated. The study answers the question, “If reviews & rating have a correlation with consumer purchasing behavior in digital marketing, and if so then how this correlation could be defined?” The data collection and tests have been conducted in a practical environment. The German online stores have been used as the main mode of data collection. Depending on the nature of the data, the quantitative analysis approach has been adopted. By conducting real-time sales data tests, this study fills the gap in previous consumer research studies. The in-depth analysis of results show the correlation between consumer reviews and product sales. The results have revealed that consumer reviews may influence overall product sales and help a consumer in purchasing decision.Storytelling är ett av de mest kreativa, kraftfulla och effektiva redskapen i modern marknadsföring. På grund av den ökande användningen av sociala medier har storytelling blivit ett populärt redskap för att påverka konsumenternas beteende. Denna studie har utförts från perspektivet av storytelling med syftet att finna en korrelation mellan kundrecensioner och kundernas köpbeteende. Studien fokuserar på kundernas historier som reflekteras i recensioner och betyg, där korrelationen mellan recensioner och betyg och övergripande försäljning undersöks. Studien syftar till att besvara frågan ”Om recensioner & betyg har en korrelation med kundernas köpbeteende i digital marknadsföring, och om så hur kan korrelationen definieras?” Datainsamlingen och testandet har utförts i en praktisk miljö. Tyska online butiker har använts som huvudsaklig metod för datainsamling. På grund av strukturen på data har en kvantitativ analys metod använts. Genom att genomföra tester i realtid, har denna studie kompletterat tidigare forskning kring kundbeteende. Den fördjupade analysen av resultaten visar att det finns en korrelation mellan kundrecensioner och försäljning. Resultaten har visat att kundrecensioner kan påverka försäljningen av produkter och hjälpa en konsument i ett köpbeslut.
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Neo, Rachel. "The Limits of Peer Influence: A Social (Dis)Affirmation Explanation of How Online Ratings Influence Trust in Factual Corrections". The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1459984656.
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Carbonell, Carrasquilla Guillermo Alejandro [Verfasser] y Matthias [Akademischer Betreuer] Brand. "Decisions based on ratings, reviews, and recommendations - the cognitive processing of online information / Guillermo Alejandro Carbonell Carrasquilla ; Betreuer: Matthias Brand". Duisburg, 2019. http://d-nb.info/1177681501/34.
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Carbonell, Guillermo [Verfasser] y Matthias [Akademischer Betreuer] Brand. "Decisions based on ratings, reviews, and recommendations - the cognitive processing of online information / Guillermo Alejandro Carbonell Carrasquilla ; Betreuer: Matthias Brand". Duisburg, 2019. http://d-nb.info/1177681501/34.
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Ganivet, Fernando J. "Development of a New Student Evaluation Instrument of Instructor Effectiveness in Online Courses". FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/382.
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The purpose of this study was to (a) develop an evaluation instrument capable of rating students' perceptions of the instructional quality of an online course and the instructor’s performance, and (b) validate the proposed instrument with a study conducted at a major public university. The instrument was based upon the Seven Principles of Good Practice for Undergraduate Education (Chickering & Gamson, 1987). The study examined four specific questions.
1. Is the underlying factor structure of the new instrument consistent with Chickering and Gamson's Seven Principles?
2. Is the factor structure of the new instrument invariant for male and female students?
3. Are the scores on the new instrument related students’ expected grades?
4. Are the scores on the new instrument related to the students' perceived course workload?
The instrument was designed to measure students’ levels of satisfaction with their instruction, and also gathered information concerning the students’ sex, the expected grade in the course, and the students’ perceptions of the amount of work required by the course. A cluster sample consisting of an array of online courses across the disciplines yielded a total 297 students who responded to the online survey. The students for each course selected were asked to rate their instructors with the newly developed instrument.
Question 1 was answered using exploratory factor analysis, and yielded a factor structure similar to the Seven Principles.
Question 2 was answered by separately factor-analyzing the responses of male and female students and comparing the factor structures. The resulting factor structures for men and women were different. However, 14 items could be realigned under five factors that paralleled some of the Seven Principles. When the scores of only those 14 items were entered in two principal components factor analyses using only men and only women, respectively and restricting the factor structure to five factors, the factor structures were the same for men and women.
A weak positive relationship between students’ expected grades and their scores on the instrument was found (Question 3). There was no relationship between students’ perceived workloads for the course and their scores on the instrument (Question 4).
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Ray, Colleen Andrea. "THE EFFECT OF ENGAGEMENT IN COGNITIVE REAPPRAISAL IN RESPONSE TO PREVIOUSLY CONDITIONED STIMULI ON ONLINE AND LONG-TERM EXPECTANCY RATINGS AND EMOTION INDICES". Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/194432.
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Previous research has shown that cognitive reappraisal, an emotion regulation strategy, has beneficial effects on emotion experience during strategy engagement. The present study extends this work by investigating whether cognitive reappraisal impacts the anticipation of an aversive event during, and five days following, strategy engagement. Emotion profiles, including psychophysiological and self-report indices, were also examined to assess whether reappraisal inhibits affective responses. Participants underwent habituation and simple discriminatory fear conditioning. Stimuli were pictures of a snake and a spider. Two days later participants returned to the laboratory and were either i) cued to engage in cognitive reappraisal while imagining the stimuli ii) exposed to the stimuli with no reappraisal instructions iii) exposed to the stimuli while engaging in cognitive reappraisal or iv) had an experience unrelated to the stimuli (control condition). Participants returned to the lab five days later and were exposed to both pictures paralleling initial habituation and conditioning protocols. It was found that cognitive reappraisal during exposure reduced expectancy of the UCS faster than exposure alone and resulted in lower mean skin conductance response (SCR) for those low, but not high, in fear of snakes. Five days later participants in the intervention conditions, compared to the control condition, demonstrated less anticipation of the UCS and smaller emotion-modulated startle magnitudes to the UCS. These findings suggest that cognitive reappraisal may be an effective tool for reducing anticipation of an aversive event and can result in enduring fear inhibition. This may have important implications for the treatment of individuals with anxiety disorders. The present study also examined the relationship between cardiac vagal control, indexed by respiratory sinus arrhythmia (RSA), and subsequent sympathetic arousal during fear conditioning, indexed by SCR. Results demonstrate that participants with low, compared to high, resting RSA had larger SCRs during habituation and conditioning trials. In addition, participants with lower RSA showed greater SCR reactivity following UCS presentation to both conditioned stimuli, suggesting that those with the lower RSA initially differentiated less between the UCS paired and unpaired images. These findings are consistent with theories that associate faster recovery from emotionally demanding situations with greater cardiac vagal control.
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Giannamore, Kathleen A. "ALIGNING THE NECESSARY COMPETENCIES FOR TRAINING AND EVALUATING ONLINE TEACHERS IN HIGHER EDUCATION WITH CHICKERING AND GAMSON’S SEVEN PRINCIPLES FOR EFFECTIVE UNDERGRADUATE TEACHING: A Q METHODOLOGY STUDY". Kent State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1600439569685503.
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Villanova, Daniel Joseph Bodin. "Intuitive Numerical Information Processes in Consumer Judgment". Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/94318.
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Numerical information is ubiquitous in modern life. The prevalence of numerical information in the marketplace necessitates understanding how consumers handle and interpret that information, for both theoretical and practical reasons. Past research has largely focused on consumers’ encoding of numbers, calculative limitations, and usage of heuristics. This dissertation will contribute to this burgeoning literature in several ways. First, I identify a general tendency in how consumers calculate ratios based on an intuitive model of division. Specifically, consumers tend to divide larger numbers by smaller numbers. The intuitive model of division has marketing implications for both consumers’ evaluations of quantity offers and sensitivities to promotions. Next, I examine how consumers draw inferences from distributional information. In contrast to the assumption that consumers utilize means to assess central tendency, I demonstrate that consumers use the modal response to judge what is typical, with implications for consumers’ inferences about product ratings and other social distributions.PHD
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Chiu, Eugene 1979. "A context-based rating system for online communities". Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87211.
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Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.Includes bibliographical references (p. 61).
by Eugene Chiu.
M.Eng.and S.B.
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Gunden, Nefike. "How Online Reviews Influence Consumer Restaurant Selection". Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6707.
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Since social media has been growing rapidly, the restaurant industry has been exploring this area extensively. Given that social media provides restaurant consumers with an opportunity to share their dining experiences, several studies have examined the impact of social media on consumer restaurant selection (Tran, 2015). As a part of the social media umbrella, online reviews are significant factors that influence consumer restaurant selection (Park & Nicolau, 2015; Yang, Hlee, Lee, Koo, 2017). However, there is a lack of understanding with regard to which attributes of restaurant online reviews are the most influential when it comes to customer decision making. Therefore, this study aims to investigate the relative importance of online review attributes in consumer restaurant selection. Particularly, this study focuses on the number of online reviews, the overall restaurant rating, and the following restaurant attributes: food quality, service quality, atmosphere, and price, to address the purpose of the research.
Based on the recommendation of Orme, (2010), 353 respondents are recruited via Amazon’s Mechanical Turk, and a choice-based-conjoint (CBC) analysis is performed. The CBC analysis reveals the relative importance of each attribute for customer decision making. Based on the CBC analysis, the results confirms that food quality is the most important attribute in consumer restaurant selection. This factor is followed by overall restaurant rating, price, service quality, the number of online reviews, and atmosphere. Additionally, the overall restaurant rating is determined to be a substantially important factor that influences consumer restaurant selection, while the rest of the attributes vary in their rank. The market simulation calculated the preference estimates for the products for each respondent. This approach predicts the impact of each attribute on the market share. Food quality and overall restaurant rating are used for the market simulations. Therefore, it is also found that in relation to the market simulation, the decrease of food quality influenced the market share by about 58.88%. The findings of this study contribute greatly to the knowledge of the importance of food quality, and as a result, an overall restaurant rating. Therefore, restaurant managers should prioritize these key attributes to manage strategies for the restaurant
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Yu, Junhao. "Delivery service assortment and product pricing in online retailing : the impact of pricing flexibility and customer rating". Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/54544.
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This research studies the delivery service assortment and product pricing problem in the context of online retailing where the seller selects a series of delivery options from a set of available alternatives for the customers to choose from and decides the price for the product and the listed surcharge for each delivery service. We aim to examine the impact of seller's pricing flexibility and customer rating on the optimal decisions and the optimal expected profit of the seller. By solving and comparing the results of four related problems, we find that usually it would be optimal for the seller to include all the available delivery options and charge a constant mark-up for all the options. But when the customer rating is aggregated, the seller would have to solve a combinatorial optimization problem to find out the optimal assortment when pricing is restricted to the product only and he should differentiate the mark-up for each option when he enjoys the pricing flexibility to re-price the quoted surcharges. We also show that two simple heuristic algorithms provide very good performance for the mentioned combinatorial optimization problem. We explain why the aggregated rating would only hurt the seller and how pricing flexibility could remove its negative effect while assortment adjustment can only weaken its impact. In addition, numerical studies present the comparison between the two main problems with aggregated customer rating and provide some observations of the impact on delivery service providers and the customers. The findings in this thesis yield useful managerial insights for the delivery service providers as well as the seller for making their strategic decisions.Business, Sauder School of
Graduate
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Heckner, Markus. "Tagging, rating, posting : studying forms of user contribution for web-based information management and information retrieval /". Boizenburg Hülsbusch, 2008. http://d-nb.info/992369916/04.
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Bersier, Florian. "Design of online reputation systems : an economic perspective". Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:deb557af-e848-481c-947e-94e0a4014994.
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Online reputation systems are certainly the most overlooked 'heroes' of today's social Web. While these mechanisms are a vital element of every online transaction, they have received less consideration than some of their more well-known cousins, such as recommender systems or social networks, whose success would often not have been possible and tenable without their discrete but active backing. It then follows that despite their value and importance, the implementation of current reputation mechanisms has mostly been the result of trial-and-error. Resting on an economic perspective, this thesis regroups three chapters whose frameworks and findings aim at helping mechanism designers and researchers understand key mechanisms at play and develop more efficient online reputation systems. The first chapter examines the optimal number of ratings a reputation mechanism must make publicly available within an online marketplace in order to minimize cheating and maximize Pareto efficiency. I develop a moral hazard stage game featuring fictitious players which has the compelling property to prevent reputation effects from disappearing in the long run. I show that the number of ratings displayed by a reputation system is a fundamental predictor of market efficiency, and that the latter number should be kept minimal in order to maximize social welfare in the market – especially for economies proposing interactions with a high profit margin. The second chapter studies how different classes of reporting behaviours commonly found online affect the reliability of a reputation mechanism. I develop an iterative stochastic approximation model which I use to construct a behavioural measure of efficiency, so-called 'reporting bias'. I demonstrate that reporting bias tends towards its maximum when raters comply with the reports left by their predecessors. Following this result, I recommend to keep the rating interface separated from the rest of the reputation system. I also find that fake ratings are particularly harmful when one type of behaviour is present in the economy and suggest to counterbalance sybil attacks by displaying pairs of contrasted ratings. Finally, I defend the use of the arithmetic mean against the median as a way to compute reputation scores. The third chapter analyses how 5-star rating scales can lead to the formation of bimodal distributions of ratings within online marketplaces. Using a 2-time period model featuring altruistic raters, I identify the existence of a 'blind spot' of unrated transactions whose magnitude increases in the cost of rating and decreases in the number of buyers inhabiting the economy. Developing an additional model featuring Bayesian agents suffering from confirmatory bias, I show that non-binary rating scales can leave space to ambiguity and possibly wrong posteriors, even in the long run. Overall, results of the chapter hint that fine-grained rating scales best suit signalling reputation systems while coarse-grained scales should be preferred for sanctioning mechanisms.
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Williams, Garrick J. "Abstracting Glicko-2 for Team Games". University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1427962458.
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Blohm, Ivo, Ulrich Bretschneider, Michael Huber, Jan Marco Leimeister y Helmut Krcmar. "Collaborative Filtering in Ideenwettbewerben: Evaluation zweier Skalen zur Teilnehmerbewertung". Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-141909.
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In diesem Beitrag werden zwei verschiedene Skalen zur Durchführung von Teilnehmerbewertungen in Ideenwettbewerben auf ihre Validität untersucht. Dafür werden diese mit einer unabhängigen, validierten Expertenbewertung verglichen. Auf Basis von Kreuztabellen wird gezeigt, dass eine einfache binäre Skala („Go“ oder „No Go“) eine höhere Übereinstimmungsvalidität besitzt als ein komplexes, mehrdimensionales Bewertungsformular. Auf Basis dieser Untersuchung werden konkrete Gestaltungsempfehlungen für die Praxis abgeleitet sowie zukünftiger Forschungsbedarf aufgezeigt.
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Blohm, Ivo, Ulrich Bretschneider, Michael Huber, Jan Marco Leimeister y Helmut Krcmar. "Collaborative Filtering in Ideenwettbewerben: Evaluation zweier Skalen zur Teilnehmerbewertung". Technische Universität Dresden, 2009. https://tud.qucosa.de/id/qucosa%3A27997.
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In diesem Beitrag werden zwei verschiedene Skalen zur Durchführung von Teilnehmerbewertungen in Ideenwettbewerben auf ihre Validität untersucht. Dafür werden diese mit einer unabhängigen, validierten Expertenbewertung verglichen. Auf Basis von Kreuztabellen wird gezeigt, dass eine einfache binäre Skala („Go“ oder „No Go“) eine höhere Übereinstimmungsvalidität besitzt als ein komplexes, mehrdimensionales Bewertungsformular. Auf Basis dieser Untersuchung werden konkrete Gestaltungsempfehlungen für die Praxis abgeleitet sowie zukünftiger Forschungsbedarf aufgezeigt.
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Köcher, Sarah [Verfasser], Hartmut H. [Akademischer Betreuer] Holzmüller, Jenny van [Gutachter] Doorn y Jan [Gutachter] Wieseke. "Reaching for the stars: consumers’ interpretations of online rating distributions and their validity as an indicator of product quality / Sarah Köcher ; Gutachter: Jenny van Doorn, Jan Wieseke ; Betreuer: Hartmut H. Holzmüller". Dortmund : Universitätsbibliothek Dortmund, 2018. http://d-nb.info/1166399885/34.
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Liu, Fengkun. "A STUDY OF THE EFFECTS OF REVIEW, SOCIAL, AND ADOPTER CHARACTERISTICS IN MOBILE APP ADOPTION". Kent State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=kent1412737178.
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Caballero, Luis Alberto Mendieta. "“The impact of online ratings on video game sales”". Master's thesis, 2015. http://hdl.handle.net/10362/15686.
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Online third-party reviews have been grown over the last decade and they now play an important role as a tool for helping customers evaluate products and services that in many cases offer more than tangible features. This study intends to quantify the impact online ratings have over video game sales by conducting a linear regression analysis on 300 titles for the previous console generation (PlayStation® 3 and Xbox® 360) using a data from the video game industry to understand the existing influence on this particular market. The findings showed that these variables have a weak linear relationship thus suggesting that quality of a title explains little the commercial success of a video game and instead this should cover a wider range of factors. Afterwards, we compare results to previous ones and discuss the managerial implications for upcoming gaming generations.
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Valle, Gina Maria Almeida. "Impact of online consumer ratings on mobile app demand". Master's thesis, 2016. http://hdl.handle.net/10400.14/20204.
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People can now freely interact online in order to gather and share information about products and services. Consequently, it becomes very important for firms to understand how these developments shape demand.
Online consumer ratings are an evaluative, numerical form of eWOM that reduces the information asymmetry for current and potential customers on the Internet and is thus expected to impact sales. Because of this, several studies have investigated their effect on demand since it is still not clear the extent to which their valence, volume and/or dispersion affect product sales.
This dissertation studies the impact of online consumer ratings on demand by determining the effects of valence and volume of mobile apps ratings on sales at two online stores, in the last trimester of 2015. Additionally, it also investigates the potentially moderating effects of apps characteristics, namely perceived hedonicity, thereby making a novel contribution to the topic.
Consequently, 360 surveys were collected to assess numerically the apps’ perceived hedonicity. Furthermore, ratings and publicly available data of 250 apps was collected from Google Play and Amazon App Store to be evaluated in a regression analysis.
The results show that the volume is what matter on apps’ demand since the average rating was not significant in the regressions. Therefore, firms should focus on increasing the number of ratings regardless of the valence. Still, the hedonic/utilitarian concept is a moderator for the average rating and the volume, thus the more hedonic the app the fewer will be impact of both variables on sales.As pessoas agora podem interagir livremente na Internet, a fim de reunir e compartilhar informações sobre produtos e serviços. Consequentemente, é muito importante para que as empresas entender como estes desenvolvimentos afetam a demanda. Online consumer ratings são uma avaliativa numérica do eWOM que reduz a assimetria de informação para os clientes na Internet e, portanto, se espera que impactem as vendas. Devido a isso, vários estudos têm investigado o seu efeito, pois ainda não está claro em que medida a sua valência, volume e / ou dispersão afeta as vendas. Esta dissertação estuda o impacto dos online consumer ratings sobre a demanda das aplicações móveis em duas lojas on-line no último trimestre de 2015. Além disso, também investiga os efeitos de moderação potenciais, do grado hedônico percebido, adicionando assim uma nova contribuição para o tópico. Consequentemente, 360 questionários foram coletados para avaliar numericamente o grado hedônico das aplicações. Além disso, os ratings e os dados publicamente disponíveis de 250 aplicativos foram coletados no Google Play e Amazon App Store para ser avaliados em uma análise de regressão. Os resultados mostram que o volume é o que importa na demanda dos aplicativos por quanto a valência não foi significativa nas regressões. Portanto, as empresas devem se concentrar em aumentar o número de ratings, independentemente da valência. Ainda assim, o conceito hedônico /utilitário é um moderador para a valência e o volume, assim, o mais hedônico o aplicativo o menor impacto das duas variáveis sobre as vendas.
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KO, HSIEN-PEI y 葛憲珮. "The Impact of Online Shopping Portals and Ratings for Online Store on Consumer Trust and Purchase Intention". Thesis, 2012. http://ndltd.ncl.edu.tw/handle/99567379308168514232.
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碩士國立屏東商業技術學院
企業電子化研究所
100
With the rapid development of internet and prevalence in online shopping, online store has become a great marketing channel for businesses and many portals also provide a platform for business to set up an online store. Thus, under the strong competition between online stores, how to build the trust of online consumer and increase their purchase intention had always been an important research issue. Nonetheless most prior studies regarding online store focus on the effect of online stores website quality and perceived risk on consumers’ trust and only few studies discuss the effect of online shopping portals for store and store ratings on consumers’ trust and purchase intention.This study develops a research framework based on literature review, which aims to explore whether online shopping portals for store, online store ratings, third-party assurance, and store awareness affect consumers’ trust towards online store. This study consider online store ratings,third-party assurance, online store awareness and perceived quality as antecedents of trust to explore whether they would affect consumers’ purchase intention.The target population of this study is the online consumer. This study took Yahoo Mall website as the online shopping portals for store.Third-party assurance (trust marks and no trust marks), online store ratings (high score and low score) and online store awareness (high and low) are manipulated in a 2×2×2 factorial experiment. The data are analyzed with statistical tests including independent sample t test and three-way ANOVA. This study is based on an internet-based survey used with data collection and totally 517 samples are availed. The result shows that: (1) Online shopping portals for store positively affects consumer trust toward portal. (2) Consumer trust toward portal positively affects consumer trust toward online store.(3) Online store ratings positively affects consumer trust toward online store. (4) Third-party assurance positively affects consumer trust toward online store. (5) Online store awareness positively affects consumer trust toward online store. (6) Perceived quality positively affects consumer trust toward online store. (7) Consumer trust toward portal positively affects purchase intention. (8)Consumer trust toward online store positively affects purchase intention. Finally, the study according to the research results proposes management implications and future research suggestions.
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HSIAO, HAN-JU y 蕭涵如. "Ratings and Reviews on Online Wedding Forum: at the Prospective of Couples". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/p8nr56.
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碩士中國文化大學
觀光事業學系
107
Couples cost lots of money and spend much time on holding a wedding. It is cover-ing a wide range of services for holding a wedding. Prospective couples will take couples’ experience and suggestions on online as reference for choosing wedding venues, before buying. The study purposes are 1) analyzing online ratings and reviews on online wed-ding forum, and 2) exploring opinions of hotels, restaurants and wedding banquet halls at the perceptive of couples. There were 600 reviews collected on 26 April, 2019, and each 200 reviews about hotels, restaurants, wedding banquets were most recent at the end of 2018.There are three parts services of wedding banquets, such as dining, activities, and just for couples. This study employs content analysis and opinion mining to analyze fea-ture words and opinion words of wedding banquets in five dimensions, foods, services, environments, programs and overall value. The performance of wedding venues is good and couples are satisfied. Couples care about dining environment in dining area most. There are still few negative opinions main-ly about physical environment in dining area, services just for couples, and traffic. Among three types of wedding venues, hotels banquets focus on providing full-service, high price, food, public transportation, and brand reputation. Restaurants focus on providing limited service, budget price, and public transportation. Wedding banquet halls focus on provid-ing luxury service, moderately-priced, high value and package services just for couples. The research offers reference for wedding providers and managers to allocating resource effectively and enhancing the advantages of wedding venues.
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(11210118), Chinonso Ezenwa Etumnu. "Essays on E-Commerce". Thesis, 2021.
Buscar texto completoResumen
This dissertation comprises of three essays that examine different aspects of e-commerce. Given that e-commerce is growing exponentially around the globe, these essays makes contributions to the literature that might continue to spur this growth.
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Kullmann-Klocke, Miriam, Rossana Ducato y Marco Rocca. "Customer ratings as a vector for discrimination in employment relations? Pathways and pitfalls for legal remedies". 2018. http://epub.wu.ac.at/6174/1/RD_MK_MR_%2D_Customer_ratings_as_a_vector_for_discrimination.pdf.
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The use of customer ratings to evaluate worker performance is increasingly worrisome because of its widespread use in the gig-economy. As scholars in computer and social sciences denounce, this practice entails the risk of producing discriminatory outcomes, by reproducing biases existing in society. By drawing an analogy with discriminatory practices adopted by an employer to satisfy its customers' preferences, we propose a legal analysis of this phenomenon grounded in EU non-discrimination law. Thus, we first analyse the issues related to the application of non-discrimination law to (alleged) self-employed workers. Then, we address the lack of access for the individual worker to the data regarding customers' ratings. We conclude by arguing that the use of customer ratings should be considered as a suspect criterion, while the current (EU) non-discrimination laws should be modernised through a clearer inclusion of (alleged) self-employed workers.Series: ohne Reihe
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Zhang, Yaonan. "Statistical analysis of network data motivated by problems in online social media". Thesis, 2015. https://hdl.handle.net/2144/16270.
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Networks have been widely used to represent and analyze a system of connected elements. Online social media networks, as a result of the expansion of the Internet and increased need of communication, have become an increasingly important part of people's lives. This thesis focuses on the statistical analysis of network data motivated by problems in online social media. It discusses problems arising from both explicit network data and implicit network data. Explicit network data are data where network structures are observable, implicit network data are those that do not have a network structure but occur under the influence of an underlying network.
For the explicit network data analysis, we develop a novel method of recovering a fundamental characteristic -- network degree distributions -- under sampling. We formulate the problem of estimating degree distribution as an inverse problem. We show that this problem is ill-conditioned for many sampling methods in practice, and accordingly propose a constrained, penalized weighted least-squares approach to solve this problem. We demonstrate the ability of our method to accurately reconstruct the degree distributions from simulated network data and real world social network data. We also propose practical usage of the estimates relevant to marketing and advertising.
For the implicit network data analysis, we look at review data from the popular review websites. Motivated by articles from the popular press and the research community which publicized that the average rating for top review sites is above 4 out of 5 stars, we study the phenomena of review rating trends and convergence using restaurant review data from TripAdvisor. We analyze the trend on different levels -- a rough analysis of the characteristics of the ratings, and a subtler statistical modeling with ordinal logistic regressions. Taking into account the implicit network underlying the review data, we suggest the upward trend observed in restaurant review ratings may be explained by social influence on an individual's perception of qualities. We use the intensity of review postings as an indicator of how popular a restaurant is and to test to what extent the increase in review intensity explains increases in average rating. After that, we consider a more nuanced approach to the joint modeling of ratings and review intensity which would allow for interaction between the two, rather than intensity serving only as an explanatory variable to ratings. Specifically, a state-space model is used to test the interaction between review intensity and review ratings.
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Chang, Kun-Ming y 張坤明. "Does e-CRM matter? The relationships among hotel website design, customers' online hotel ratings, and hotel performance". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/7ygb4d.
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碩士國立東華大學
運籌管理研究所
102
Travel has become an inevitable lifestyle choice for many people. With numerous hotels competing for customer attention, customers’ demand for hotel quality has also been increasing. In the Internet era, hotels’ own websites and third-party review websites have become important sources of information about hotel facilities and service quality, generating significant impacts on customer purchase decisions. Conventional marketing and consumer behavior perspectives emphasize the influence of buyers’ word-of-mouth (WOM) on sellers’ sales. In the area of hotel online marketing, despite the potential effects of hotel website design / information quality and online customer ratings on hotels’ electronic word-of-mouth (e-WOM), there has been little systematic research on the relationship between the two information sources and their associations with hotels’ actual operational performance. In order to address this gap in the existing literature, this study used archival-based data from different sources to examine the relationships among hotel website quality, hotel ratings on third-party review sites, and hotel operational performance. The data analysis focused on two aspects: (1) the effects of hotel website features (e.g., product preview, online reservation, deal and promotion, online payment, room amenities, transportation, and membership registration) on hotel performance (total operational revenue); and (2) the effects of e-WOM (review contents, number of reviews, and average rating) on hotel performance. To ensure data reliability and sample adequacy, this study collected e-WOM data from five well-known travel review sites (Eztravel, Expedia, Booking, Agoda, and Hotelscombined). Each sample hotel’s website functions were also systematically categorized. The empirical results show (1) significant effects of hotel website features on hotel total revenues; (2) significant effects of online reviews on hotel total revenues; and (3) regional differences in terms of rating dimension (service, location, cleanliness, facilities, value, dining and room comfort) and tourist type. The implications of these results for hotel online marketing are discussed.
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Wei, Chun-Ru y 魏純如. "A Study of the Effect of Contradiction of Online Ratings and Reviews on Perceived Quality and Purchase Intention". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/64zy22.
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碩士國立東華大學
國際企業學系
105
As online commerce becomes increasingly prevalent, consumers rely more on the electronic word-of-mouth as a way to facilitate their online transactions. However, the feedback messages from experienced customers are usually divergent, containing both positive and negative ones. The coexistence of positive and negative ratings and literal reviews may lead customers into the psychological state of confusion, hesitancy, and skepticism, which weakens customers’ purchase intent and behavior. This thesis aims to examine how the contradiction in online ratings and reviews may affect consumers’ perceived quality of the product, and whether this relationship is moderated by businesses’ responsiveness and the degree of customers’ involvement. This study adopts a quasi-experimental design and collects response data from 309 subjects using an online questionnaire in a simulated, on-line purchase context of hotel booking. The findings suggest that the contradiction in online ratings and reviews reduces the perceived quality of the product, which further lessens customers’ purchase intent. Furthermore, while businesses’ reconciliatory responses weaken the negative relationship between the contradiction of online ratings and reviews and perceived quality of the product, a high degree of customers’ involvement strengthens this negative relationship. These findings bring important implications to related theories and the management of online businesses.
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Reagan, Janet. "Attribution and interpretive content analyses of college students' anecdotal online faculty ratings: students' perceptions of effective teaching characteristics". Thesis, 2009. http://hdl.handle.net/1828/1489.
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This dissertation documents a mixed methods doctoral study that accessed a popular online faculty rating system situated in the public domain, to reveal adult students’ perceptions of effective teaching characteristics in three community colleges located in British Columbia, Canada. The study is informed by two phases including a quantitative analysis of attributions and a qualitative interpretive content analysis of 300 randomly selected student anecdotal evaluations of their classroom experiences that were cross-referenced to the empirical research that formally defines effective teaching characteristics. Six attribution themes emerged from the students’ online perceptions: Articulate, Competent, Content-expert, Empowering, Perceptive, and Trustworthy that in their complexity were re-articulated for latent symbolism and problematised through an adult education lens. These findings subsequently led to development of the ACCEPT Model of Student Discernment of Effective Teaching Characteristics.
The research findings contribute to a further understanding of students’ ability to discern and report effective teaching characteristics through an online faculty rating system that is informal and less traditional, for the purpose of improving teaching and learning practices in college settings in British Columbia. There are six recommendations provided that will be of interest to administrators, faculty, students, and institutional researchers regarding student evaluation of effective teaching characteristics and adult learning needs.
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Pranata, Ilung. "Architecture for security and trust in digital environments (SecuTIDE)". Thesis, 2014. http://hdl.handle.net/1959.13/1040878.
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Research Doctorate - Doctor of Philosophy (PhD)Digital environments have long been considered an enabler for information sharing, electronic transactions, knowledge dissemination and online collaborations. As they gradually evolve to the concept of an open and heterogeneous environment that promotes transient interactions and collaborations, the importance of technologies that provide security protection and trust measurement will increase significantly. The purpose of this thesis is to propose a security architecture and trust framework that enables strong security protection and measurement of initial trust in digital environments. To meet this purpose, this thesis delivers a SecuTIDE (Security and Trust In Digital Environments) architecture that consists of two major components: DRPM (Distributed Resource Protection Mechanism) and TIDE (Trust In Digital Environments). DRPM is a mechanism that allows the distributed authentication and authorisation of entities in digital environments. Additionally, DRPM also facilitates a secure transfer of information during the transactions and/or collaborations. The effectiveness of DRPM in providing secure interaction and collaboration is explored through security validity, computational cost and scalability testing and analysis. TIDE is a de-centralised framework proposed to measure the trustworthiness of entities in the initial transaction. TIDE encompasses complex methods, formulae and algorithms to mitigate multifaceted malicious strategies and behaviors that undermine trust computation. TIDE’s effectiveness and resilience in determining an accurate trustworthiness is shown through an extensive set of experiments and benchmarking against malicious strategies and prominent trust solutions. In addition to proposing technologies for enabling secure and trustworthy digital environments, this thesis investigates the usability and effectiveness of several prominent online trust rating systems. An anonymous survey was conducted to study users’ perception on various online trust rating systems, ratings and incentives. All solutions and the survey presented in this thesis will contribute to a secure and trustworthy digital environment.
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Weise, Alexander. "Impact of online word of mouth on consumer ratings in the digital age: an application of the social conformity theory". Master's thesis, 2020. http://hdl.handle.net/10362/111549.
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Electronic Word of Mouth (e WOM) referring to reviews and ratings has taken a substantial role in the consumer decisions-making process, as it has gained popularity amongst marketers and consumers, while both parties are looking for the highest rating. Numerous studies have comprehensively analysed e WOM as a purchase decision driver and ultimately its impact on sales. However, little is known about the rating drivers. Hence, this study aims to apply the theory of social conformity as a form of majority influence to wards ratings and reviews. A survey with 198participants was conducted, analysing positive and negative rating influence towards rating outcome, emotional impact and strength of conformity. Descriptive statistics and regression analyses support the theory and show that it holds especially within ambiguous situations. As informational conformity was found to have a great impact on rating outcomes and emotional perception, several strategies to target this bias on rating platforms and a different approach of rating assessments based on emotions are proposed.
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She, Wen-Yun y 佘文云. "How Rating Scales Affect Survey Satisficing Behavior in Online Surveys". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/p89qj9.
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碩士國立清華大學
服務科學研究所
106
This study examined how three types of rating scale inputs in online surveys affect respondents’ survey satisficing behavior. When satisficing, respondents provide quick, “good enough” answers instead of those considered thoroughly. The three types of rating scale we consider are traditional radio buttons, sliders, and Visual Analogue Scale (VAS), which have previously been used in paper surveys or online surveys. We administered surveys on Amazon Mechanical Turk (MTurk) and randomly assigned respondents to one of three surveys, each with one type of rating scale input. The results suggest that VAS triggered less satisficing behavior and was the easiest to use, providing another input choice for researchers when using rating scale in online surveys.
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Lee, Sheng-Hao y 李盛豪. "Conformity or Uniqueness? The Impacts of Social Influence on Online Product Rating". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/92797230233304046409.
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碩士國立臺北大學
資訊管理研究所
101
Literatures have demonstrated the significant influence of online rating or online product review on consumer decision and product sales. However, rare previous studies discussed about the online review behavior. The current research aims to explore the impact of social influence on reviewers’ online rating behavior. Four empirical studies were conducted in this research. Study1 collected real online reviews from a website to analyze the possible impact of social influence in the process of online rating. The result revealed that review rating scores were highly relative with previous review rating scores. Study2 conducted a quasi-experimental design to investigate the social influence and to examine the moderation of personal trait on the impact of social influence to reviewer's online product rating. The results confirmed that social influence indeed impact consumers’ online rating behavior, that people tended to rate the product according to previous reviews, but people with high uniqueness personality trait will rate not according to previous reviews. However, the product review may be provided by product experts or ordinary customers. Study 3 conducted a quasi-experimental design to investigate the moderation of uniqueness and conformity personality trait on online review by controlling the sources of reviews. The result revealed in different sources reviews the moderation of personality trait of conformity and uniqueness was different. Study4 conducted interview survey to further verification. The result revealed that people with high conformity personality will rate according to others, and people with high uniqueness personality will rate different from others. Through these four studies, we gained more understanding about the reviewers’ online product rating behavior. The findings indicate that customers’ reviews are determined by not only their own consumption experience, but also other consumers’ reviews. In addition, reviewers’ uniqueness and conformity personality trait may moderate the impact of social influence on online review.
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EHRAR, MD SHAQUIB y MD SHAQUIB EHRAR. "Impact of Severity of Failure and Rating on Online Distributer Brand Credibility". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/8a37ma.
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碩士國立交通大學
管理科學系所
107
This thesis talks about the credibility of online distributer, if it’s affected by the severity of failure of product purchased from it; also if it varies with rating. However, for the current study only two levels of severity of failure, i.e. no failure or high failure is considered; also, only two levels of rating viz. highly rated or non-rated conditions of product is discussed. While previous studies have mentioned about the impact of severity of failure of product on the product itself and the brand that produced it, there hasn’t been much focus given to the distributor which acts as mediator between the consumer and the product producer. Earlier studies have mentioned that with increase in severity of failure the credibility of the brand that produced the product or service decreases. This occurred as a result of building up of negative attitude towards brand whose product fails. However the credibility tends to be high in condition when there is no failure. In the current research the experiment involves presenting participants with scenarios involving high fail / no fail conditions as well as high rated (4.3 star/5 star) / non-rated (no rating available for the product) conditions for the product; the rating for the product being available on online distributor platform. Thus a 2x2 model of experimentation is generated. The study has been carried out specifically on people of Indian nationality and the product that will act as stimulus is a shampoo (category-beauty). A pretest is carried out to screen the questionnaire items to be presented in the final experiment; the questions being filtered iii after analyzing the coefficient of alpha. After collection of data of all participants in the experiment phase the ANOVA test is carried out to verify the hypothesis. The analysis of all the pretest and experiment phase data has been done on SPSS 22. The results show that Online Distributor Brand Credibility is indeed affected by high fail/no fail as well as highly rated/ non-rated condition. The individual effect of severity of failure and rating is shown by the main effects of the ANOVA result. It shows that for high fail condition the credibility is low while for no fail condition the credibility is high. On the other hand for a highly rated product the credibility is slightly higher than of the product that had no rating. The interaction effect result shows that when the product undergoes high fail and had high rating then the credibility is relatively low as compared to the same situation (high fail) but the product had been non-rated. On the other hand if the product underwent no fail and had high rating then the credibility is relatively high as compared to the situation when the product was non-rated.
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Ventura, Madalena Mauhin Trigueiros. "The impact of eWOM on consumers’ purchase intention : the moderation role of products’ category". Master's thesis, 2017. http://hdl.handle.net/10400.14/23269.
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Online content is becoming an increasingly important tool for consumers and
marketeers relationship to grow closer and last-longing. Namely, eWOM, which derived from
the need of sharing knowledge and information among consumers, allowed them to reach
information perceived as more trustful and real.
Nowadays, this type of communication is part of the purchasing process and has been
proved to influence consumers’ buying decisions. Besides being perceived as consumer
generated information, eWOM can also be managed by marketeers, aiming at influencing
individuals to provide useful information, which ideally would be positive but can also be
negative, and managing potential future customers’ expectations and needs.
In addition, this research quantifies the purchase intention among different types of
eWOM, namely by exposing different sources, valences and structures and evaluating the
impact on consumers’ buying decisions within different products’ categories.
Therefore, quantitative data was generated by an online questionnaire which presented
the different illustrative scenarios for each of the four categories of products being tested: pricey
tech electronics, high touch retail, household staples and no touch services.
The conclusions obtained were mostly opposing to literature, which may be explained
by the various range of eWOM limitations and characteristics, as lack of physical contact, but
also, were helpful to perceive that its influence is not linear and that it could depend on the
scenario and the circumstances in which the information was developed and shared.O conteúdo online é uma ferramenta cada vez mais importante para tornar a ligação entre consumidores e marketeers mais próxima e duradora. Atualmente, este tipo de comunicação é parte integrante do processo de compra e, apresenta um efeito influenciador na decisão dos consumidores. Apesar disso, esta informação é vista como sendo originária de comuns consumidores, mas, esta também pode ser gerida por marketeers com o objetivo de influenciar indivíduos a providenciar informação útil, - que idealmente seria positiva, mas que acontece por vezes ser negativa também-, e, assim, gerir as expectativas e as necessidades de potenciais e atuais clientes. Adicionalmente, este estudo quantifica a diferença na intenção de compra consumidores entre diferentes tipos de eWOM, através da exposição de diferentes tipos de fontes, valências e estruturas, de modo a avaliar o impacto na decisão de compra dos consumidores, no seio de diferentes categorias de produto. Consequentemente, foi gerada data quantitativa através de um questionário online que apresentava diferentes cenários ilustrativos em relação aos tipos de eWOM que estavam a ser testados no âmbito das categorias de produto escolhidas. Na verdade, as conclusões obtidas nesta dissertação foram, maioritariamente, contra os factos revelados na literatura considerada, o que, pode ser explicado pela variedade de limitações e características peculiares da eWOM, mas, estas conclusões podem também ser úteis para perceber que a sua influência não é linear e pode depender dos cenários e circunstâncias em que a eWOM foi criada e desenvolvida.
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Hsu, Po-tze y 許博慈. "Rating and Clustering of Online Comments According to the Dimensions Specified by Users". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/21712264122011880430.
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碩士國立中央大學
資訊管理學系
101
As the rapid development of Internet, many services and shopping sites accumulated a lot of comment information. However, these websites defined specific formats of their own to categorize or to show all of the users’ reviews which users cannot easily find out information they really care about in tons of reviews on the website. Therefore, this study proposes a new review analysis method, allowing users to consider for their own reservations factors and to provide relevant keywords, to customized review analysis for specific user. According to the users’ need, we classified the content of reviews into different dimensions and different sentiment tendencies in review analysis. Through this research can be generated based on the user's needs in review analysis, and further be able to tell the whole hotel’s opinion which is presented in many reviews. Reviews on hotel.com are used in this paper. The experiments in this paper are as follows. First, evaluate the effect of dimension analysis and sentiment analysis. The second part is to put reviews on the website in clusters and to receive the specific opinions within all the reviews.
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Kong, Li-Cyun y 孔麗群. "The Credit Rating of Online Peer-to-Peer Lending-Empirical Evidence from Lending Club". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/8cvaqy.
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碩士國立高雄應用科技大學
金融系金融資訊碩士在職專班
105
As the traditional banking industry for the complicated procedures for loans, long loan period, the loan conditions harsh, making small and medium enterprises in the financing difficulties and other issues have been difficult to solve. For the distribution of funds in countries have a very uneven disposal, resulting in lower efficiency of capital operation, failed to achieve its best use of the effect. The economic environment will only fall into a worse situation for the social development in the long run. Emerging financial and technology, network lending platform P2P came into being, has aroused the attention of the whole society, but also the world's financial industry into another new milestone. P2P network lending platform, but also ease the financing difficulties of SMEs and the development of personal property preservation and value-added desire, is undoubtedly a positive feedback on the social financial products. This study not only introduces the development process of P2P network borrowing platform in the United Kingdom, the United States and mainland China, but also understands the various deficiencies faced by foreign countries in the development of P2P network borrowing, and the opinions of experts and scholars on this innovative financial products solution. It also use Lending club data, conduct the bivariate probit model analysis, and further explore the P2P platform for internal control mechanism to consider whether the factors play a critical benchmark. This study considers that the credit rating system of Lending club's P2P network borrowing platform used to control transaction risk cannot be applied in one way. It is necessary to classify personal credit and credit of small and medium-sized enterprises and make credit system more refined to eliminate financial fraud happened. And hope that this conclusion for the future development of Taiwan P2P network lending platform to provide meaningful reference.
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Chen, Kai-Yuan y 陳楷元. "The effect of online rating and level of hospital accreditation on consumers’ hospital choice". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/wqk78n.
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碩士國立臺灣科技大學
企業管理系
105
With the awakening of consumers’ consciousness. Consumers are no longer passively follow one’s advice but actively searching for information and base on their consciousness to make medical decision. According to this, our study selected Taiwanese who had been to hospital for medical treatment to explore the effect of online rating and level of hospital accreditation on consumers’ hospital choice. This study conducted two experiments. The first experiment is a 2 × 2 experimental design which conducted to determine the influence of online rating, hospital accreditation level on consumers’ hospital choice. 180 participants randomly distributed to four scenarios. The result shows that online rating and hospital accreditation level has significant effect on consumers’ hospital choice (p < 0.01). Furthermore, the interaction effect shows greater impact when the hospital graded excellent and high rating. The second experiment used a 2 × 2 × 2 experimental design which involving 320 participants. Continuation two factors in experiment 1, this experiment included rating conformity factor to investigate the effect. The result shows that rating conformity has no significant effect on consumers’ hospital choice but has significant interaction effect with these two factors (p < 0.05). The results of this study can provide important reference for marketing decisions in medical institutions
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Schiekirka-Schwake, Sarah Nina. "Lehrqualität in der universitären Medizin". Thesis, 2019. http://hdl.handle.net/11858/00-1735-0000-002E-E62A-6.
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Rodrigues, David Gonçalo de Araújo. "Hotel online reviews: What influences the sentiment and rating? A sentiment analysis on Lisbon hotels". Master's thesis, 2020. http://hdl.handle.net/10362/109387.
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Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementThis study analyzes 38,292 reviews from 192 Lisbon Hotels posted in Booking.com and TripAdvisor for hotels located in Lisbon, Portugal. The aim of this research is to understand if the hotel categories and nationality of the reviewer influence the sentiment and the ratings of the reviews. Moreover, it also evaluates whether the review ratings in Booking.com are inflated in comparison with TripAdvisor. A sentiment analysis on all the reviews was performed using Semantria, a software from Lexalytics. The key insights of this research are that the hotel category influences the sentiment on the review, even though the sentiment does not increase as the hotel category increases. Furthermore, this study also found statistically significant differences between the sentiment depending on the nationality of the reviewer. This work also rejects the hypothesis that the review ratings on Booking.com are inflated in comparison with TripAdvisor. Finally, this study provides insights to hotel managers who should focus on meeting the customers’ expectations and adapt the service provided according to the nationality of the reviewer. Moreover, by not providing evidence that Booking.com review ratings are inflated, this study restores the confidence of the stakeholders in the reliability of the scoring system applied by that platform.
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Wu, Pei-Shan y 吳佩珊. "A Study on the Nonlinear Relationship between Negative Rating of Online Sellers and Consumers’ Perceived Risk － The Moderating Effect of the Number of Rating". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/kpkh2e.
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碩士國立東華大學
國際企業學系
105
While on-line shopping has become a major way of consumption in the past decade, consumers’ perceived risk associated with on-line transaction also significantly increases as compared with traditional transactions, leading consumers to reply more on the online word-of-mouth as a way to lessen the risks. Past studies indicate that the effect of online negative rating may be double-edged. While some studies found that negative ratings enhance the sense of insecurity of customers, others asserted that negative ratings reveal the genuine credibility of the online businesses. Due to the divergence of the findings on the effects of negative ratings, this thesis aims to investigate the relationship between online negative ratings, consumers’ perceived risk, and purchase intention, and the moderating role of the accumulated numbers of ratings in the relationships. This study adopts the method of quasi-experimental design and collects response data of 402 subjects through an online questionnaire in a simulated purchasing context. The findings suggest that the relationship between online negative ratings and consumers’ perceived risk is non-linearly positive. There exists a threshold or a tolerance zone, where the perceived risks slightly increase with the increasing negative ratings; however, the perceived risks become more sensitive to the increasing negative ratings when the negative ratings go beyond the threshold. Moreover, the increased perceived risks significantly reduce consumers’ purchase intention. Finally, the accumulated numbers of ratings weaken the negative relationship between perceived risks and purchase intention. These findings bring important implications to both related theories and the management of on-line businesses.
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Martins, Marta Soares Gonçalves da Costa. "How TripAdvisor’s reviewers level of expertise influence their online rating behaviour and the usefulness of reviews". Master's thesis, 2017. http://hdl.handle.net/10071/15428.
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The internet has improved the buying behaviour of customers. The development of
technologies has led to the dissemination of opinions on social networks where customers
buy goods and services. These comments on social networks started to be a part of the
purchasing process. Until a few years ago, customers used to choose their itineraries based
on tourist guides or brochures. Nowadays, customers’ reviews have changed the way a
destination is portrayed, enhancing the description of a product or a service to a level that
not even the supplier was able to reach before. There are different types of reviewers. The
aim of this study is to identify both reviews, experts and non-expert reviewers and analyse
the way they write their reviews. Reviews of five hotels taken from the TripAdvisor
website were used in order to conduct this study. After analyzing a great set of variables,
the results show that there is not much different on the amount of positive/negative
reviews written by a reviewer, however, there is a difference in the deeper meaning of a
review when it is positive than when it is negative. The expert reviewer tends to be more
emotional when writing positive reviews than negative reviews. Regarding the usefulness
of the reviews, there is no significant difference in usefulness of a review whether is an
written by an expert reviewer or by a non-expert reviewer. The results also indicate that
being an expert does not influence the rating a reviewer gives to a hotel stay either. The
study was conducted by using Lexalytics program to analyze a Natural Language
Processing (NLP) used to classify reviews according to their polarity. With this study, a
new research in study was filled. This study gives insights on the polarity of a review
depending on the type of reviewer. The results of this study are also important for hotel
managers in order for them to understand the type of guest in house.O desenvolvimento da tecnologia, com ênfase na internet e nos seus desenvolvimentos ao longo dos anos, melhorou o comportamento dos clientes e levou à disseminação de opiniões em redes sociais onde os clientes compram productos e serviços. Os comentários feitos a um produto ou serviço nas redes sociais começaram a fazer parte do processo da compra. Até há uns anos atrás, os clientes escolhiam os itinerários para as suas viagens com base em guias turísticos e brochuras. Recentemente, os comentários de clientes mudaram a maneira que um destino é explicado e ilustrado, melhorando, desta forma, a descrição de um produto/serviço a um nível que nem mesmo os fornecedores destes tinham alcançado ainda. Há diferentes tipos de reviewers. O objectivo deste estudo é identificar ambos tipos, expert e non-expert e analisar o estilo de reviews escrita por estes. Experts são assim denominados se tiverem escrito mais de dez reviews; por outro lado os non-expert reviewers são assim denominados se tiverem escrito menos de 10 reviews. Para este estudo, foi utilizada informação de cinco hotéis de Orlando, Florida, retirada do TripAdvisor. Depois de uma análise das variáveis, os resultados mostram que não há grande diferença no que toca ao volume de comentários positivos/negativos escritos por um utilizador. Por outro lado, existe uma diferença na emoção dada a cada comentário, entre os utilizadores. O expert reviewer tende a ser mais emocional quando escreve comentários positivos do que quando escreve comentários negativos. Relativamente a utilidade de cada comentário, não há grande diferença no que toca a ser um expert reviewer ou um non-expert a escrever um comentário. Os resultados indicam, também, que ser um expert não tem qualquer influência na avaliação que um utilizador dá a sua estadia num hotel. Este estudo foi feito com base no programa Lexalytics, com objectivo de analisar a Natural Language Processing (NLP) usada para classificar os comentários de acordo com a sua polaridade.
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Neto, Morino Xavier de Barros. "The impact of review valence, rating and type on review helpfulness : a text clustering and text categorization study". Master's thesis, 2019. http://hdl.handle.net/10362/62624.
Texto completoResumen
Dissertation presented as partial requirement for obtaining the Master`s degree in Information Management, with specialization in Marketing IntelligenceConsumers trust on online reviews to help them making their purchasing decisions. Online reviews provide consumers with clues about the quality of the products that they want to buy. Consumers rely on clues, such as, review helpfulness votes and rating to infer product quality. In this study, we perform a Text Clustering and a Text Categorization analysis to uncover the review characteristics and to predict the review rating, helpfulness votes and the product price, based on review corpus. We use a dataset with 72 878 reviews of unlocked mobile phones sold on Amazon.com to perform this analysis. The main goal of this research is to understand the impact of review valence, rating and type on helpfulness votes on Amazon, for unlocked mobile phones. This research aims, also to understand the impact of price on customer satisfaction and the relationship between customer satisfaction and ratings. Our results suggest that positive reviews that emphasize the feature level quality of the products receive more helpful votes than the positive reviews that contain mainly subjective expressions or negative reviews. Another important finding of this research is on the influence of the price of the product. The phones with high price tend to receive more positive reviews and more helpful votes. These findings have important managerial and theoretical implications. To best of our knowledge, our study is the first one to analyze the effect of the combination of valence, rating and subjectivity of the review text on helpful votes.
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Hua, Chen-Han y 華振漢. "External Cue Consistency in Online Auction： Effect of Starting Price and Sellers’ Rating Under Different Information Asymmetry Levels". Thesis, 2006. http://ndltd.ncl.edu.tw/handle/22346593054579518806.
Texto completoResumen
碩士國立中央大學
資訊管理研究所
94
This study examined the interactive effect of starting price and seller’s reputation on final price and the probability of auction success under different information asymmetry levels in online consumer-to-consumer auction. As these two extrinsic cues are consistent under high information asymmetry, seller earnings increase. However, the influence of the cue consistency on the final price is not observed under low information asymmetry. Both the cue consistency theory and cue-utilization theory explain this condition. The probability of auction success is also evaluated and, higher seller’s reputation positively impacts the probability of auction success under high information asymmetry. In summary, these findings suggest that seller’s reputation will not influence the results of auctions significantly under low information asymmetry. Under high information asymmetry sellers receive greater earnings as well as high probability of auction success by setting high starting price when seller’s reputation is high.
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Mendes, Ricardo Jorge Gonçalves Loureiro. "Utilização de online reviews como estratégia de Revenue: O caso Zenit Lisboa". Master's thesis, 2017. http://hdl.handle.net/10400.26/18589.
Texto completoResumen
Durante o estágio realizado no Hotel Zenit Lisboa, como assistente de Direção, nos meses de
Setembro a Dezembro de 2016, foram desempenhadas funções nos departamentos de Revenue,
Comercial e Direção. No início do estágio foi imediatamente identificada a problemática, que
se prendia com a baixa classificação do rating nos sites de reservas, o que não levava a uma
taxa de ocupação de 100%. Durante o estágio foram recolhidos dados estatísticos de modo a
verificar qual a causa deste problema através da análise de comentários, ou online reviews,
nomeadamente no site da Booking.com. Este relatório serviu como base de um estudo para
aferir até que ponto estas online reviews não poderiam influenciar o Revenue Management, bem
como os preços que se praticavam até lá e que se poderiam praticar no futuro.
A satisfação do cliente é o ponto fulcral de um Hotel e esta é exposta na forma de comentários
publicados online pelos mesmos. Estes comentários são vistos como testemunhos dos clientes
dando a ideia mais clara e real da qualidade do serviço oferecido pelo Hotel.
Assim, havendo um baixo rating em comparação com a concorrência, a opção viável seria
praticar os preços mais baixos que a mesma. Em contrapartida a concorrência pode praticar
preços mais altos, uma vez que o seu rating é maior e capta mais a atenção e o desejo do cliente
ficar hospedado no seu hotel.
Podemos dizer que o rating e as online reviews constituem uma ferramenta útil para o Revenue
Management de qualquer Hotel, pois estes podem potenciar um aumento de ocupação,
praticando-se preços mais altos o que leva a um maior rendimento, ou lucro (revenue).During the internship held in Zenit Lisboa Hotel, as an Assistant Manager, from September to December of 2016, the intern carried out several task in the Revenue Management and Commercial departments. At the beginning of the internship, the research problema was immediately found, which was realated with the low rating on the reservations sites, which didn’t bring an occupancy rate of 100% to the Hotel. During the internship statistic data was collected so that the cause of this problem was resolved through online reviews, mainly on Booking.com site. This report served as basis to study if online reviews can influence Revenue Management, such as the prices that were used untill then and those that could be used in the future. The customer’s satisfaction is essential to na Hotel and this is exposed through their online reviews. These are seen as testimonials from customeres where we can get a clearer and more real idea of the quality of the service offered by the Hotel. Thus, having a low rating in comparison with the competition, the only viable way would be to use lower prices than them. On the other half competitor hotels could use higher prices, since their rating is higher and they can capture more costumers that intend to stay at their hotel. We can say that ratings and online reviews are a useful tool for Revenue Management in any hotel, because these can potentiate a rise on occupation, practicing higher prices which leaves to higher revenue.
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Huang, Chin-Hsuan y 黃靖琁. "The Influences of Product Review Credibility and Product Rating Credibility on Browsers’ Product Attitudes: An Online Platform of Cosmetics". Thesis, 2008. http://ndltd.ncl.edu.tw/handle/5ue992.
Texto completoResumen
碩士國立臺北科技大學
工業工程與管理研究所
96
When senders write reviews on the internet, some platform operators not also give senders spaces to write reviews, but also hope senders give products ratings, and provide browsers spaces to commend these reviews. In addition to giving senders and browsers spaces to write and refer, they will open some of senders’ basic information for browsers to refer. This research combine these items with the literature to make up two variables: product reviews credibility (expertise, availability and similarity), and product rating credibility. And it will clarify whether these variables can affect browsers’ attitudes. It shows that product reviews credibility can affect product rating credibility and product attitudes. Product rating credibility can interfere with product reviews credibility and product attitudes. And it finds that all items provided by businesses do not be achieved at due effects. That this search use an actual website to study can be more useful for other platform operators.
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Lee, Haekyung 1973. "Students' perceptions of peer and self assessment in a higher education online collaborative learning environment". 2008. http://hdl.handle.net/2152/17877.
Texto completoResumen
The purpose of the study was to investigate factors that affect students’ perceptions of the use of online peer and self assessment in an online collaborative learning environment, and to explore the impacts of the assessments on the online collaboration of the students. The setting of this study was a university graduate-level online credit course entitled Computer Supported Collaborative Learning (CSCL), in which all course activities were conducted collaboratively through online communications and online peer and self assessment was provided at the end of every group project. Data sources included: face-to-face or online video conferencing interviews with 14 participants; participants’ written reflections; their portfolios; messages that each participant posted to their group online discussion board; and peers’ and self comments on the online peer and self assessment. Data were analyzed using Strauss and Corbin’s (1998) grounded theory approach. Results of the data analysis showed that many factors allowed students to have varied perceptions, attitudes, and feelings in conducting the online peer and self assessment. The factors were grouped into three: learning context, individual differences, and online learning community. Learning context encompassed all parts of the CSCL online course strongly related to the peer and self assessment, including course elements, online assessment system, types of assessment feedback, and graduate school environment. Categories under the factor of individual differences included stringency-leniency in ratings, objectivity of ratings, previous assessment experience, purpose of the assessments, and degree of self-confidence in assessing their own contributions to the group activity. Categories related to the online learning community included group composition, engagement of group members, and sense of community. Additionally, the results revealed the impact of the use of peer and self assessment on the group collaboration in terms of understanding others’ perspectives, reflections on themselves, awareness of the assessments, interpersonal skills for collaboration, accountability, participation, personal criteria for the assessments, level of confidence with the assessments, and group collaboration.text
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Chung, Meng-Ru y 鍾孟儒. "The Influence of Online Rating on the Intention of Consumer Posting Comment — Self-experience and Friend’s Advice as Moderating Variables". Thesis, 2015. http://ndltd.ncl.edu.tw/handle/scx4wq.
Texto completoResumen
碩士國立雲林科技大學
企業管理系
103
On account of convenience of Internet, consumers deeply depend on searching for information of products’ online rating on the Internet and inquire about friend’s advice before they make decision of purchase. And consumers may share product reviews on community website after the self-experience. The specific objective is the influence of three variables which are online rating, friend’s advice, and self-experience affect the intention of consumer posting comment. Two experimental designs were utilized to test the hypotheses. Study one was a 2 (online rating: positive and negative)* 2 (self-experience: positive and negative) between-subject design; study two was another 2 (online rating: positive and negative)* 2 (friend’s advice: positive and negative)* 2(self-experience: positive and negative) between-subject design. Questionnaires were collected through BBS Internet platform. General Internet users were randomly assigned to each experimental group via convenience sampling, resulted to 696 valid samples. According to the results, in terms of consumers review online rating and then experience the product, among positive self-experience, the intention of consumer posting comment of negative online rating are higher than positive online rating; among negative self-experience, the intention of consumer posting comment of positive online rating are higher than negative online rating. In terms of consumers experience the product and then review online rating, among positive self-experience, the intention of consumer posting comment of positive online rating are higher than negative online rating; among negative self-experience, the intention of consumer posting comment of negative online rating are higher than positive online rating. Under the condition of online rating, friend’s advice, and self-experience, in terms of positive self-experience, among positive friend’s advice, the intention of consumer posting comment of positive online rating are higher than negative online rating; in terms of negative self-experience, among positive friend’s advice, the intention of consumer posting comment of negative online rating are higher than positive online rating. Finally, in the aspect of negative self-experience, among negative friend’s advice, the intention of consumer posting comment of positive online rating are higher than negative online rating.