scholarly journals THE IMPACT OF ONLINE PRODUCT REVIEWS IN VIRTUAL COMMUNITY TOWARDS PURCHASE DECISIONS IN INDONESIAN DENIM INDUSTRY

Author(s):  
R. B. M. Cemal Ecmal Rachmat

In this study, the researcher uses a combination of the theory of planned behavior and the model of goal-directed behavior to map what effects online product reviews can have on consumer purchase decisions. The researcher hypothesizes that the two adapted theories contain factors that can positively influence consumer purchase decisions. The researcher uses PLS-SEM and open coding to analyze quantitative and qualitative data. The results showed that ten of the eighteen hypotheses tested were proven to be accepted. Consumers in the denim industry tend to perceive online product reviews as a key aspect of their decision-making process. The results of qualitative data analysis also showed similar results, all respondents indicated the importance of the influence of an online product review on their purchasing decisions. The researcher also discusses the implications of these results for both research and practice.

2019 ◽  
Vol 31 (5) ◽  
pp. 1486-1515 ◽  
Author(s):  
Yongrui Duan ◽  
Chen Chen ◽  
Jiazhen Huo

Purpose To encourage buyers to contribute product reviews, some online sellers offer monetary rewards. The purpose of this paper is to investigate the impact of monetary rewards on buyers’ purchase decisions and review contributions, as well as the impact on the seller’s price decisions and profit. Design/methodology/approach The authors consider an online seller in a two-stage setting. Prior to Stage 1, the profit-maximizing seller sets the price and decides whether to offer a monetary reward secretly to motivate online reviews. Then, a continuum of buyers arrives and makes purchase decisions at the beginning of each stage. First-stage buyers may contribute reviews if they are satisfied, which will affect demand in the second stage. Using this analytical framework, the authors analyze the impact of monetary rewards. Findings If the monetary reward is small, it decreases the seller’s profit and fails to generate more reviews. It also increases price, leading to a decline in total demand. Thus, when the reward is lower than a certain threshold, all buyers are worse off. Only when the reward exceeds the threshold are buyers who contribute reviews better off. Profit and total demand both increase in review quality, while the price may either increase or decrease in it. Originality/value To the best of the authors’ knowledge, this paper is the first to analyze theoretically the impact of monetary rewards on buyers’ purchase decisions, review contributions and on online sellers’ decisions.


2020 ◽  
Vol 30 (4) ◽  
pp. 805-820
Author(s):  
Ina Garnefeld ◽  
Sabrina Helm ◽  
Ann-Kathrin Grötschel

AbstractAcknowledging the impact on their sales, companies strive to increase the number of positive online reviews of their products. A recently popular practice for stimulating online reviews is offering monetary rewards to customers in return for writing an online review. However, it is unclear whether such practices succeed in fulfilling two main objectives, namely, increasing the number and the valence of online reviews. With one pilot and two experimental studies, this research shows that offering incentives indeed increases the likelihood of review writing. However, the effect on review valence is mixed, due to contradictory psychological effects: Incentive recipients intend to reciprocate by writing favorable reviews but also perceive a need to resist marketers’ influence, which negatively affects their review valence. Finally, recipients who are less satisfied with the product are particularly prone to psychological costs and decrease the positivity of their online reviews. Consequently, incentives should be applied carefully.


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.


2018 ◽  
Vol 29 (3) ◽  
pp. 723-738 ◽  
Author(s):  
Nachiketa Sahoo ◽  
Chrysanthos Dellarocas ◽  
Shuba Srinivasan

2017 ◽  
Vol 16 (06) ◽  
pp. 1497-1522 ◽  
Author(s):  
Yang Liu ◽  
Jian-Wu Bi ◽  
Zhi-Ping Fan

Studies have shown that online product reviews significantly affect consumer purchase decisions. However, it is difficult for the consumer to read online product reviews one by one because the number of online reviews is very large. Thus, to facilitate consumer purchase decisions, how to rank products through online reviews is a valuable research topic. This paper proposes a method for ranking products through online reviews based on sentiment classification and the interval-valued intuitionistic fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). The method consists of two parts: (1) identifying sentiment orientations of the online reviews based on sentiment classification and (2) ranking alternative products based on interval-valued intuitionistic fuzzy TOPSIS. In the first part, the online reviews of the alternative products concerning multiple attributes are preprocessed, and an algorithm based on support vector machine and one-versus-one strategy is developed for classifying the sentiment orientations of online reviews into three categories: positive, neutral, and negative. In the second part, based on the percentages of the online reviews with different sentiment orientations and the numbers of online reviews of different products crawled from the website, an interval-valued intuitionistic fuzzy number is constructed to represent the performance of an alternative product with respect to the product attribute. Additionally, the interval-valued intuitionistic fuzzy TOPSIS method is employed to determine a ranking of the alternative products. Finally, a case analysis is provided to illustrate the application of the proposed method.


2020 ◽  
Vol 15 (2) ◽  
pp. 2225-2233
Author(s):  
Mujahid Adam Ismail Ibrahim

Advertisements are a tool of communication used in the marketing and promotion of a product or service by the brand. It promotes an integrated marketing communication which emotionally motivates the consumers to make purchases. The advertisement has a strong linkage with the proliferation of the media and the entertainment industry. This research aimed to investigate the impact of advertisements on consumer purchase decisions. The research methodology adopted a primary research design with a quantitative and qualitative approach. Five hundred questionnaires were distributed and 466 questionnaires were collected and included in the study. As per the statistical analysis, a strong positive correlation has been found between advertisement and consumers purchasing decisions.  The investigation of this study indicate that consumers consider TV as the most effective tool for the promotion of certain brand products or services. Also, study find that, Purchase decisions were also affected by the seller’s way of showing the product or the method of advertisement. Therefore, there are chances for those interested in the marketing domain to benefit from the findings of this research and may use them to analyse what aspects of advertisements change the buying behaviour and purchasing decisions of consumers.


Author(s):  
Nachiketa Sahoo ◽  
Chrysanthos N. Dellarocas ◽  
Shuba Srinivasan

Tourism ◽  
2021 ◽  
Vol 69 (2) ◽  
pp. 216-227
Author(s):  
Ilinka Terziyska

The aim of this study is to identify the salient attributes of one-day cultural tours provided by ground operators. The research is based on the netnography approach, using as a main data source user-generated content (UGC) on TripAdvisor. A total of 233 reviews were processed applying thematic analysis through the R package for Qualitative Data Analysis (RQDA). Following an open coding procedure, five dimensions of service experience, possibly connected to tourist satisfaction were identified – the quality of tour guiding, the overall organization of the trip, sites visited, comfort of transport vehicles, and value for money. In practical terms, the findings will be of use to tour operators for designing a competitive product. As research on customer satisfaction regarding organized tours is limited, especially when one-day tours are concerned, this paper contributes to better understanding of the factors that affect it. The study complements existing knowledge of tourist satisfaction by providing insight and a model specifically tailored to one-day cultural tours, which are a growing segment in tour operator activities. The main limitation of the study is connected to the method used – it identifies salient attributes and prioritizes them, but cannot describe the nature and strength of the impact.


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