Understanding the role of argument quality in the adoption of online reviews

2015 ◽  
Vol 39 (7) ◽  
pp. 885-902 ◽  
Author(s):  
Xi Xu ◽  
Zhong Yao
Keyword(s):  
Decision Model ◽  
Online Shopping ◽  
Perceived Value ◽  
Online Reviews ◽  
Online Marketing ◽  
Research Model ◽  
Data Set ◽  
Content Type ◽  
Argument Quality ◽  
A Value

Purpose – The purpose of this paper is to develop a research model that examines the effect of argument quality and argument perspective on the adoption of online reviews in a value-based decision model. In addition, the paper investigates the moderating effects of argument quality from needs theory. Design/methodology/approach – To validate the research model, a questionnaire survey was conducted in the Chinese online shopping context. Hypotheses were tested using partial least squares analysis on a data set of 208 online consumers. Findings – The results suggest that argument quality and argument perspective have positive impacts on perceived value, further influencing the adoption of online reviews. Moreover, the results confirm that the information credibility and quantity sufficiency of online reviews are positively associated with argument quality. The findings also indicate that argument quality mediates the relationship between argument perspective and perceived value. Originality/value – This work contributes to the literature by employing a value-based decision model to study the adoption of online reviews in the online shopping context, as well as the moderating effect of argument quality on the argument perspective to perceived value. The main conclusions of this study can be valuable to online marketing managers.

Post-purchase behaviour from customer perceived value of mobile payment services

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ming-Hsiung Hsiao
Keyword(s):  
Perceived Risk ◽  
Perceived Value ◽  
Behavioural Intention ◽  
Mobile Payment ◽  
Research Model ◽  
Data Set ◽  
Content Type ◽  
Utilitarian Value ◽  
The Difference ◽  
Post Purchase

Purpose Mobile payment (MP), near field communication-based particularly, has become one of the future payment tools. This study aims to indicate the difference between consumer users and non-users by examining the effect of MP users’ perceived value on their satisfaction and on MP non-users behavioural intention. Once those MP users’ have achieved satisfaction, the study then investig ates how consumers bring about the need recognition and are more desirable to buy more products. Design/methodology/approach This study develops a research model, which examines the effect of consumer perceived value, including utilitarian value, technicality and perceived risk, on MP users’ satisfaction and MP non-users behavioural intention. In methodology, it adopts structural equation modelling to verify the proposed research model for empirical studies. The data set consists of 161 MP users and 277 non-users of consumers. Findings The findings show that consumers, both MP users and non-users included, are encouraged to improve utilitarian value if they are favourable to adopt MP services. Relatively, female users emphasize more on perceived risk, whilst male users emphasize more on technicality. Moreover, MP non-users and female users still have much concern about perceived risk such that they are inclined to avoid adopting MP services. Originality/value Past research has examined the adoption of MP services from the perspective of consumers with a focus on the perceived value, satisfaction and behavioural intention. However, only limited research examined the post-purchase evaluation of MP users. The study fills this gap by clarifying the difference between consumer users and non-users in the effect of MP users’ perceived value on their satisfaction and on their non-users behavioural intention.

scholarly journals Research on comment target extracting in Chinese online shopping platform

2018 ◽  
Vol 2 (3) ◽  
pp. 247-258
Author(s):  
Zhishuo Liu ◽  
Qianhui Shen ◽  
Jingmiao Ma ◽  
Ziqi Dong
Keyword(s):  
Association Rule ◽  
Online Shopping ◽  
Low Frequency ◽  
Online Reviews ◽  
Content Type ◽  
Pos Tagging ◽  
Part Of Speech ◽  
Frequency Feature ◽  
Practical Implications ◽  
Data Reading

Purpose This paper aims to extract the comment targets in Chinese online shopping platform. Design/methodology/approach The authors first collect the comment texts, word segmentation, part-of-speech (POS) tagging and extracted feature words twice. Then they cluster the evaluation sentence and find the association rules between the evaluation words and the evaluation object. At the same time, they establish the association rule table. Finally, the authors can mine the evaluation object of comment sentence according to the evaluation word and the association rule table. At last, they obtain comment data from Taobao and demonstrate that the method proposed in this paper is effective by experiment. Findings The extracting comment target method the authors proposed in this paper is effective. Research limitations/implications First, the study object of extracting implicit features is review clauses, and not considering the context information, which may affect the accuracy of the feature excavation to a certain degree. Second, when extracting feature words, the low-frequency feature words are not considered, but some low-frequency feature words also contain effective information. Practical implications Because of the mass online reviews data, reading every comment one by one is impossible. Therefore, it is important that research on handling product comments and present useful or interest comments for clients. Originality/value The extracting comment target method the authors proposed in this paper is effective.

Mining numerical measure of consumers’ product evaluation expressed in words based on latent Dirichlet allocation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ziang Wang ◽  
Feng Yang
Keyword(s):  
Latent Dirichlet Allocation ◽  
Product Evaluation ◽  
Online Reviews ◽  
Product Evaluations ◽  
Product Attributes ◽  
Data Set ◽  
Content Type ◽  
Face To Face ◽  
Online Retailers ◽  
Dirichlet Allocation

Purpose It has always been a hot topic for online retailers to obtain consumers’ product evaluations from massive online reviews. In the process of online shopping, there is no face-to-face interaction between online retailers and customers. After collecting online reviews left by customers, online retailers are eager to acquire answers to some questions. For example, which product attributes will attract consumers? Or which step brings a better experience to consumers during the process of shopping? This paper aims to associate the latent Dirichlet allocation (LDA) model with the consumers’ attitude and provides a method to calculate the numerical measure of consumers’ product evaluation expressed in each word. Design/methodology/approach First, all possible pairs of reviews are organized as a document to build the corpus. After that, latent topics of the traditional LDA model noted as the standard LDA model, are separated into shared and differential topics. Then, the authors associate the model with consumers’ attitudes toward each review which is distinguished as positive review and non-positive review. The product evaluation reflected in consumers’ binary attitude is expanded to each word that appeared in the corpus. Finally, a variational optimization is introduced to calculate parameters mentioned in the expanded LDA model. Findings The experiment’s result illustrates that the LDA model in the research noted as an expanded LDA model, can successfully assign sufficient probability with words related to products attributes or consumers’ product evaluation. Compared with the standard LDA model, the expanded model intended to assign higher probability with words, which have a higher ranking within each topic. Besides, the expanded model also has higher precision on the prediction set, which shows that breaking down the topics into two categories fits better on the data set than the standard LDA model. The product evaluation of each word is calculated by the expanded model and depicted at the end of the experiment. Originality/value This research provides a new method to calculate consumers’ product evaluation from reviews in the level of words. Words may be used to describe product attributes or consumers’ experiences in reviews. Assigning words with numerical measures can analyze consumers’ products evaluation quantitatively. Besides, words are labeled themselves, they can also be ranked if a numerical measure is given. Online retailers can benefit from the result for label choosing, advertising or product recommendation.

Trust building in mobile money and its outcomes

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christian Nedu Osakwe ◽  
Titus Chukwuemezie Okeke ◽  
Michael Adu Kwarteng
Keyword(s):  
Financial Services ◽  
Structural Equation ◽  
Perceived Value ◽  
Trust Building ◽  
Research Model ◽  
Initial Trust ◽  
Related Factors ◽  
Institutional Factor ◽  
Content Type ◽  
Mobile Money

Purpose To examine the key factors that can engender initial trust in mobile money and to also determine whether initial trust can contribute to the perceived value of mobile money, use and recommendation intentions. More specifically, this paper, based on initial trust building model, aims to identify the institutional, cognitive and socially related factors enhancing initial trust in mobile money and its relationship with perceived value, use and recommendation intentions. Design/methodology/approach A self-administered questionnaire was used to collect data from 781 research participants. Variance-based structural equation modelling was used to examine the proposed research model. Findings This research shows the importance of the institutional factor of structural assurance, in conjunction with perceived firm reputation and communicability, in engendering initial trust in mobile money and, in turn, enhancing perceived value, use and recommendation intentions. The research further confirms the mediating influence of perceived value in the relationships between initial trust, use and recommendation intentions. Originality/value The originality of this work lies in the development and empirical confirmation of the research model and which together contributes to an increase understanding of initial trust building in mobile money acceptance. Value-wise, this work has the potential to inform managerial and public policy interventions by helping mobile money operators and policymakers’ rollout essential and even sophisticated financial services like borrowing using the mobile phone for the financially under-served in developing and trust-deficit settings.

How logistics capabilities offered by retailers influence millennials’ online purchasing attitudes and intentions

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jason M. Riley ◽  
Richard Klein
Keyword(s):  
Structural Equation ◽  
Online Shopping ◽  
Reasoned Action ◽  
Explanatory Power ◽  
Online Reviews ◽  
Shopping Behavior ◽  
Equation Modeling ◽  
Content Type ◽  
Online Purchase ◽  
Online Shopping Behavior

Purpose The purpose of this study is to understand consumers’ use of online retail channels. This study examines how tracking capabilities, delivery speed, trust, logistics carriers’ reputation, people important to the consumer and online reviews influence Millennials’ online purchasing attitudes and intentions. Design/methodology/approach A survey was administered to 321 Millennials. Subsequently, it was used to test both direct and indirect hypotheses using structural equation modeling techniques. Findings The study determined that tracking capabilities, trust, people important to the consumer and online reviews directly influence online purchase attitude and by extension intention formation. The results also revealed that logistics carrier reputation moderates the trust to online purchase attitude linkage. Research limitations/implications This work improves the explanatory power of the theory of reasoned action by linking logistics factors to online shopping behavior. Further, it provides insight into the moderating influence of logistics carriers’ reputation. Practical implications For retailers, the results provide information on how to better develop ecommerce service offerings. By providing information about logistics services and capabilities during the ecommerce transaction, retailers can improve the chance that consumers will complete online purchases. Originality/value This research fills a gap in the literature regarding how to influence millennial consumers. Moreover, findings strengthen the understanding of online-purchasing attitudes and intentions formation, important to retailers developing new online shopping platforms and technologies.

scholarly journals Converting hotels website visitors into buyers

2019 ◽  
Vol 33 (1) ◽  
pp. 129-159
Author(s):  
Gomaa M. Agag ◽  
Mohamed A. Khashan ◽  
Nazan Colmekcioglu ◽  
Ahmed Almamy ◽  
Nawaf S. Alharbi ◽  
...  
Keyword(s):  
Information Seeking ◽  
Structural Equation ◽  
Perceived Value ◽  
Online Reviews ◽  
Equation Modeling ◽  
Cross Culture ◽  
Content Type ◽  
Two Samples ◽  
Hotel Websites

Purpose Despite the increasing utilization of webpages for the purposes of information seeking, customers’ concerns have become a crucial impediment for online shopping. The purpose of this paper is to examine the influence of the effectiveness of web assurance seals services (WASS) and customers’ concerns on customer’s willingness to book hotels through perceived website trust and perceived value. Design/methodology/approach A questionnaire was administrated to measure the study variables. Using partial least squares–structural equation modeling approach to analyze the data collected from 860 users of online hotel websites. Findings The results indicate that WASS influence positively on perceived website trust and negatively on consumers’ concerns. As well as, perceived value and trust play a mediating role in the link between WASS and consumers’ concerns and their intentions. Finally, perceived website trust and perceived value have greater effect on intention to book hotel for low-habit consumers. Research limitations/implications This study ignored the cross-culture issue as it concentrates on the customers from developing countries, so further research may need to compare between two or more than two samples from different societies that could give a significant insights. Second, this study stresses on the WASS to predict customers booking intentions that indicates significant results, so further research may need to examine the role of online reviews as a predictor of customers purchase decision as well. Originality/value To the authors’ best knowledge, this is the first empirical research that investigates and examines the influence of the effectiveness of WASS and consumers’ concerns on consumers’ intentions through perceived value and trust. This research also investigates the moderating role of habit in the link between perceived website, perceived value and consumers’ intentions.

Reviews’ length and sentiment as correlates of online reviews’ ratings

2018 ◽  
Vol 28 (3) ◽  
pp. 544-563 ◽  
Author(s):  
Maryam Ghasemaghaei ◽  
Seyed Pouyan Eslami ◽  
Ken Deal ◽  
Khaled Hassanein
Keyword(s):  
Sentiment Analysis ◽  
Online Reviews ◽  
Marketing Strategies ◽  
Insurance Companies ◽  
Online Review ◽  
Data Set ◽  
Content Type ◽  
Customer Reviews ◽  
Service Companies ◽  
Consumer Review

Purpose The purpose of this paper is twofold: first, to identify and validate reviews’ length and sentiment as correlates of online reviews’ ratings; and second, to understand the emotions embedded in online reviews and how they associate with specific words used in such reviews. Design/methodology/approach A panel data set of customer reviews was collected for auto, life, and home insurance from January 2012 to December 2015 using a web scraping technique. Using a sentiment analysis approach, 1,584 reviews for the auto, home, and life insurance services of 156 insurance companies were analyzed. Findings The results indicate that, since 2013, consumers have generally had more negative emotions than positive ones toward insurance services. The results also show that consumer review sentiment correlates positively and review length correlates negatively with consumer online review ratings. Furthermore, a two-way ANOVA analysis shows that, in general, short reviews with positive sentiment are associated with high review ratings. Practical implications The findings of this study provide service companies, in general, and insurance companies, in particular, with important guidelines that should be considered to increase consumers’ positive attitude toward their services. Originality/value This paper highlights the importance of sentiment analysis in identifying consumer reviews’ emotions and understanding the associations and interactions of reviews’ length and sentiment on online review rating, which can lead to improved marketing strategies.

scholarly journals Prediction of Perceived Utility of Consumer Online Reviews Based on LSTM Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Hu Wang ◽  
Tianbao Liang ◽  
Yanxia Cheng
Keyword(s):  
Neural Network ◽  
Subjective Evaluation ◽  
Perceived Value ◽  
Online Reviews ◽  
Classification Model ◽  
Text Representation ◽  
Labor Costs ◽  
Data Set ◽  
Short Text ◽  
Perceived Utility

Perceived value is the customer’s subjective understanding of the value they obtain and is their subjective evaluation of the product or service they enjoy. This value is deducted from the cost of the product or service. In order to understand and predict the specific cognition of consumers on the value of products or services and distinguish it from the objective value of products or services in the general sense, this paper uses the in-depth learning method based on LSTM to establish a model to predict the perceived benefits of consumers. It is a challenging task to analyze the emotion of consumers or recognize the perceived value of consumers from various texts of online trading platforms. This paper proposes a new short-text representation method based on bidirectional LSTM. This method is very effective for forecasting research. In addition, we also use the attention mechanism to learn the specific emotional vocabulary. Short-text representation can be used for emotion classification and emotion intensity prediction. This paper evaluates the proposed classification model and regression data set. Compared with the baseline of the corresponding data set, the contrast of the results was 93%. The research shows that using deep neural network to predict the perceived utility of consumer comments can reduce the intervention of artificial features and labor costs and help predict the perceived utility of products to consumers.

Young tourists’ perceptions of authenticity, perceived value and satisfaction: the case of Little India, Singapore

2018 ◽  
Vol 19 (1) ◽  
pp. 70-86 ◽  
Author(s):  
Sean Lee ◽  
Ian Phau
Keyword(s):  
Qualitative Data ◽  
Management Strategies ◽  
Perceived Value ◽  
Research Model ◽  
Content Type ◽  
Positive Effects ◽  
Value Perceptions ◽  
Object Based ◽  
Sustainable Marketing ◽  
Practical Implications

Purpose This study aims to empirically examine young tourists’ perceptions of object-based authenticity, existential authenticity and perceived value perceptions on satisfaction. Data were collected from young heritage tourists at the Little India heritage precinct in Singapore. Design/methodology/approach Qualitative data were collected via a pen and paper questionnaire at Little India in Singapore. Young tourists below 30 years of age were identified to complete the questionnaire. A total of 288 sets of valid responses were collected to perform statistical analysis to test the relationships between the key constructs in the research model. Findings The results of the study reaffirmed the application of the perceived value framework to authenticity. Object-based authenticity, existential authenticity and perceived monetary value yielded significant and positive effects on overall perceived value and, subsequently, satisfaction. Further, overall perceived value was found to mediate the relationships between object-based authenticity, existential authenticity and perceived monetary with satisfaction. Research limitations/implications This study provides researchers with a better understanding of authenticity and value perceptions of young tourists. It also lends further support for the integration of object-based and existential authenticity into the multidimensional approach to perceived value. Practical implications The results help destination marketers and policymakers better understand this important segment to develop more effective and sustainable marketing and management strategies. Originality/value This study addresses the lack of research in the literature on young tourists who will shape the tourism landscape of the future. It also further assesses the propriety of integrating authenticity measures into the measurement of perceived value.

scholarly journals Shopping value, trust, and online shopping well-being: a duality approach

2020 ◽  
Vol 38 (5) ◽  
pp. 545-558
Author(s):  
Ho Trong Nghia ◽  
Svein Ottar Olsen ◽  
Nguyen Thi Mai Trang
Keyword(s):  
Online Shopping ◽  
Well Being ◽  
Data Set ◽  
Cognitive Trust ◽  
Content Type ◽  
Affective Trust ◽  
Hedonic Shopping Value ◽  
Duality Approach ◽  
Hedonic Shopping

PurposeBased on a duality approach, this study examines the path from utilitarian value via cognitive trust versus hedonic value via affective trust in online shopping well-being. This study also explores the moderating role of extraversion in the relationships between shopping value and trust.Design/methodology/approachA data set collected from 648 online consumers in Vietnam was used to validate the measures employing confirmatory factor analysis (CFA) and to test the hypotheses using structural equation modelling (SEM).FindingsThe results show that online shopping well-being is determined hedonically and affectively rather than in an utilitarian manner and cognitively. Affective trust positively contributes to online shopping well-being, but cognitive trust does not. The dual-process associations between utilitarian shopping value and cognitive trust and between hedonic shopping value and cognitive trust were also confirmed. Finally, extraversion moderates the cognitive and affective associations between shopping values and trust.Originality/valueThis study contributes to the literature on online shopping by applying a dual perspective to confirm the role of hedonic shopping value and affective trust in positively determining online shopping well-being. As a result, this study provides a deeper understanding about if and why online shopping well-being is affect-based, instead of cognition-based.

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