scholarly journals Online Consumer Inspection on using E-shopping Service of E-commerce

The Internet has become the primary source of information for a large number of consumers and it enables consumers to share their opinions and experiences concerning goods and services. Online consumer reviews provide information and recommendations for prospective buyers and are useful for decision-making on purchases. The purpose of this study is to assess the impact of on-line consumer reviews on a decision of using e-commerce services. In this study, we tend to conduct a laboratory experiment to analyze product review helpfulness likewise as its corresponding antecedents from the product review feature perspective (i.e., source- and contentbased review features). Findings from the study are threefold. First, the results of the information analysis support the theoretical conceptualization of product review helpfulness as a formative construct. Second, the results support the notion that the source- and content-based review options have direct impact on product review helpfulness. Customers perceive customerwritten product reviews as additional useful than those written by experts; they also perceive a concrete review as additional helpful than an abstract review. Third, we discover an interaction effect of the source- and content-based options of product reviews on review helpfulness. A customer-written product review with a low level of content abstractness yields the highest perceived review helpfulness

2013 ◽  
Vol 55 (4) ◽  
pp. 521-537 ◽  
Author(s):  
Karen Robson ◽  
Mana Farshid ◽  
John Bredican ◽  
Stephen Humphrey

Online consumer reviews have become an increasingly important source of information for both consumers (i.e. about whether to buy) and marketers (i.e. about product strengths and weaknesses). However, online consumer reviews are unstructured and unsystematic in nature, making interpretation of these reviews an enormous challenge. The current paper sheds light on a particular methodology that can be used to investigate what consumers say about companies, brands or products. Consumer reviews of the four best-selling games available on Apple's App Store were compiled. Leximancer, a content analysis package, was used to compare comments from users who provided games with a five-star rating versus a one-star rating. Results from the Leximancer analysis reveal the most common themes and concepts that consumers use to describe their experience with these games. Specifically, five-star reviewers describe games as fun, awesome, amazing and addictive; one-star reviewers describe games as boring, easy and stupid. Additionally, negative reviews include themes regarding the presence of ads, technological difficulties and value. Future research should explore how consumers and marketers use this information.


2016 ◽  
Vol 7 (2) ◽  
pp. 231-257 ◽  
Author(s):  
Jing Yang ◽  
Rathindra Sarathy ◽  
Stephen M. Walsh

Purpose To explore the psychological mechanism through which consumer reviews affect people’s purchasing decisions and behavior, this study aims to examine the impact of statistical evidence embedded in product reviews on consumers’ perceptions and purchasing intentions. Design/methodology/approach The effects review valence and review volume are tested using a 3 (valence: positive vs neutral vs negative) × 2 (volume: high vs low) quasi-experimental design and online questionnaires. Findings The study finds that review valence has a stronger impact on consumers’ perceptions than review volume does. Negative reviews induce higher risk perception and a less favorable attitude toward purchases compared to positive reviews. In addition, although both attitude toward purchase and subjective norm are good antecedents of purchase intention, the attitude statistically has a stronger impact than the subjective norm. Research limitations/implications This study contributes to extant literature from three perspectives. The authors have reexamined the findings of econometric models and advanced their implications by explaining the related psychological changes in people’s perceptions. Second, the authors have extended the application of the theory of reasoned action and found it to be a good fit in explaining consumers’ behavior related to consumer reviews. And finally, the authors have provided a clear guideline on the magnitude of the effects of review valence and volume on consumers’ perceptions. Originality/value This study provides a good complement to econometric studies from both theoretical and practical perspectives. It bridges the gap between exploratory studies and behavioral studies in the field of consumer reviews.


2016 ◽  
Vol 2016 ◽  
pp. 1-19 ◽  
Author(s):  
Xu Chen ◽  
Jie Sheng ◽  
Xiaojun Wang ◽  
Jiangshan Deng

To assist filtering and sorting massive review messages, this paper attempts to examine the determinants of review attraction and helpfulness. Our analysis divides consumers’ reading process into “notice stage” and “comprehend stage” and considers the impact of “explicit information” and “implicit information” of review attraction and review helpfulness. 633 online product reviews were collected from Amazon China. A mixed-method approach is employed to test the conceptual model proposed for examining the influencing factors of review attraction and helpfulness. The empirical results show that reviews with negative extremity, more words, and higher reviewer rank easily gain more attraction and reviews with negative extremity, higher reviewer rank, mixed subjective property, and mixed sentiment seem to be more helpful. The research findings provide some important insights, which will help online businesses to encourage consumers to write good quality reviews and take more active actions to maximise the value of online reviews.


Author(s):  
Gautami Tilve ◽  
Krutika Valanj ◽  
Aishwarya Bhor ◽  
Vaibhav Waghmare ◽  
Prof. R. S. Shishupal

It has been seen that there is wide acceleration for an E-commerce platform over the past 10 years. Moreover the E-commerce platform booms in the last year due to this COVID -19 pandemic and potentially the next couple of months. Product Review helps a lot for buying anything online regarding product quality, Service, or delivery time. Sentiment analysis helps to understand the context and the person's intent about the product like +ve, -ve, or Neutral. This paper gives the survey of techniques used by the researcher to identify the most relevant factors by taking into account the frequency of the aspect and the impact of customers at the same time. The abstract view of the proposed system that we are going to implement helps to find a positive, negative, or neutral sense of aspects of the product.


2019 ◽  
Vol 11 (14) ◽  
pp. 3873
Author(s):  
Shujia Hu ◽  
Runxi Zeng ◽  
Chengzhi Yi

Previous research has produced conflicting findings on the relationship between media use and environmental public service satisfaction. Using survey data from the China General Social Survey 2015 (hereafter referred to as CGSS2015), this study examined the impact of media use on environmental public service satisfaction. The findings showed that traditional media use was positively associated and new media use was negatively associated with environmental public service satisfaction. Individuals who used new media as their primary source of information were less satisfied with environmental public services than individuals whose primary source of information was traditional media. This study confirmed that authoritative value propositions and government trust have a significant mediating effect between traditional media use and environmental public service satisfaction, and government trust has a significant mediating effect between individuals’ main information sources and their environmental public service satisfaction.


2001 ◽  
Vol 28 (1) ◽  
pp. 93-110 ◽  
Author(s):  
Leonard Goodman ◽  
Dan Palmon

This paper considers how innovations in information technology have changed the process by which accounting historians collect primary and secondary sources of information. It examines how web-based systems have made it possible for historians to collect data from what is effectively a twenty-four-hour “on-line library”. The paper explores some of the limitations of technological innovations and considers the steps necessary to ensure future access to information stored in digital electronic form. It also considers the challenges involved in authenticating primary source documents such as e-mail and facsimiles and the impact of encryption on the availability of data in the future. Advances in information technology suggest that future generations of accounting historians will require new skills.


2015 ◽  
Vol 27 (2) ◽  
pp. 32-57 ◽  
Author(s):  
Hsin Hsin Chang ◽  
Po Wen Fang ◽  
Chien Hao Huang

This study combines the dual-process theory (DPT) and the uncertainty reduction theory (URT) to examine how on-line consumer reviews affect consumer uncertainty reduction and value perceptions in order to understand whether consumer attitudes will be influenced by on-line consumer reviews and if relationships are built between consumers and companies as a result. The results indicated that argument quality, recommendation sidedness, source credibility, confirmation of prior beliefs, and recommendation ratings have a positive effect on the uncertainty reduction of consumers towards the businesses under consideration. Since uncertainty reduction has an effect on value perception, this study suggests that companies provide on-line consumer reviews on their websites to increase consumer uncertainty reduction and to improve consumer value perception of their companies.


2016 ◽  
Vol 28 (9) ◽  
pp. 2035-2051 ◽  
Author(s):  
Giampaolo Viglia ◽  
Roberta Minazzi ◽  
Dimitrios Buhalis

Purpose Online consumer reviews have become increasingly important for consumer decision-making. One of the most prominent examples is the hotel industry where consumer reviews on websites, such as Bookings.com, TripAdvisor and Venere.com, play a critical role in consumers’ choice of a hotel. There have been a number of recent studies analyzing various aspects of online reviews. The purpose of this paper is to investigate their effects in terms of hotel occupancy rates. Design/methodology/approach This paper measures through regression analysis the impact of three dimensions of consumer reviews (i.e. review score, review variance and review volume) on the occupancy rates of 346 hotels located in Rome, isolating a number of other factors that might also affect demand. Findings Review score is the dimension with the highest impact. The results suggest that after controlling for other variables, a one-point increase in the review score is associated to an increase in the occupancy rate by 7.5 percentage points. Regardless the review score, the number of reviews has a positive effect, but with decreasing returns, implying that the higher the number of reviews, the lower the beneficial effect in terms of occupancy rates is. Practical implications The findings quantify the strong association of online reviews to occupancy rates suggesting the use of appropriate reputational management systems to increase hotel occupancy and therefore performance. Originality/value A major contribution of this paper is its comprehensiveness in analyzing the relation between online consumer reviews and occupancy across a heterogeneous sample of hotels.


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