• Title/Summary/Keyword: Customer Review Data

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Online Social Media Review Mining for Living Items with Probabilistic Approach: A Case Study

  • Li, Shuai;Hao, Fei;Kim, Hee-Cheol
    • Smart Media Journal
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    • v.2 no.2
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    • pp.20-27
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    • 2013
  • The concept of social media is top of the agenda for many business executives and decision makers, as well as consultants try to identify ways where companies can make profitable use of applications such as Netflix, Flixster. The social media is playing an increasingly important role as the information sources for customers making product choices etc. With the flourish of Web 2.0 technology, customer reviews are becoming more and more useful and important information resources for people to save their time and energy on purchasing products that they want. This paper proposes the Bayesian Probabilistic Classification algorithm to mine the social media review, and evaluates it by different splits and cross validation mechanism from the real data set. The explored study experimental results show the robustness and effectiveness of proposed approach for mining the social media review.

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A Study on the Application and Its Implications of ICC Guidelines for the Creation of BPO Customer Agreements (BPO 고객약정을 위한 ICC 가이드라인의 운용과 그 시사점에 관한 연구)

  • Chae, Jin-Ik
    • Korea Trade Review
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    • v.42 no.2
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    • pp.345-367
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    • 2017
  • A bank payment obligation(BPO) has been introduced as a new alternative instrument for trade payments based on a technology and data-driven mechanisms aimed at facilitating an electronic trading in international trade transactions. The BPO is governed by URBPO which was in effect as of July 1, 2013. The URBPO only applies to inter-bank relationships because the BPO is bank-to-bank payment obligation, not a bank-to-customer obligation. The URBPO does not cover the interaction between a bank and their customer. For this reason, the standard bank-customer guidelines on BPO agreements were required to prepare the agreements between the banks and their customers. Accordingly, the International Chamber of Commerce established "ICC Guidelines for the creation of BPO Customer Agreements" for the settlement and development of the BPO by supporting banks in creating contracts or agreements with their customers. So, This study is to review its establishment purpose and to present the implications by analyzing the ICC guidelines. This study was based on documentary research focusing mainly on the ICC Guidelines and the appendix.

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A Study on the Factors and Measurement of Quality of System Integration Service (정보시스템 통합 서비스의 품질요인 및 측정에 관한 연구)

  • 서창적
    • Journal of Korean Society for Quality Management
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    • v.27 no.4
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    • pp.20-41
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    • 1999
  • This study addresses the development of a quality measurement of information systems integration(SI) service. Several dimensions which affect on quality of systems integration service have been identified and tested. Also, a measurement tool(questionnaire) of the factors has been developed. To achieve above purpose, extensive literature review and in-depth interview with several SI managers and customers were used. We suggested the analysis framework including performance variables such as quality, customer satisfaction, intention of renewal contract, and contribution to better customer's information system and the quality factors as well. To verify the research framework, collected data from the survey was analyzed statistically. The data from 73 respondents was used for analysis. Consequently, we identified eight factors and developed a 41-item instrument with Likert 5 points to measure the quality of SI service. It was proved that the 41-item instrument suggested in this study was very useful to measure the performance of SI service such as quality and customer satisfaction. Also it was shown that the instrument measured intention of renewal contract and contribution of customer's information system well.

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Exploring Factors of Knowledge Management Technology Investment (지식경영 시스템 투자를 위한 기업 조직문화 요소에 대한 연구)

  • Heejun Park;Duke H. Jeong;Seungho Ahn
    • Journal of Information Technology Applications and Management
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    • v.10 no.4
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    • pp.1-13
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    • 2003
  • The Knowledge Management (KM) technologies has been implemented to improve customer relationship and to develop new products and services in many organization. However, current review of articles and journals about implementations of KM reveals that effectiveness on the KM implementation is depended on an organizational culture that supports knowledge sharing. The purpose of this research is to explore the possible relationship between specific organizational culture attributes of the successfully KM technology implemented organization to improve customer relationship and to develop new products and services. The OCP and the KMTP instruments were used to identify and rank the most critical organizational culture attributes of promoting successful KM technology implementation to improve customer relationship and developing new products and services. Data were collected from twenty six US organizations involved in a KM implementation effort.

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The Effect of Relationship Orientation Factors on Customer Satisfaction and Customer Loyalty in Internet Shopping Malls (인터넷쇼핑몰에서 관계지향성 요인이 고객만족과 고객충성도에 미치는 영향)

  • Ryu, Il;Cho, Geon;Park, Yi-Suk;So, Soon-Hoo
    • Journal of Information Technology Applications and Management
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    • v.14 no.2
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    • pp.129-149
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    • 2007
  • The purpose of this study is to examine the effect of relationship orientation factors on customer satisfaction and loyalty in Internet shopping malls. Based on previous exploratory work and a review of the literature of relationship marketing, six key factors of relationship orientation construct are identified: trust, bonding, communication. shared value. empathy and reciprocity. And a conceptual model is developed and seven research hypotheses are empirica1ly examined using structural equation modelling. The results show that bonding, shared value and reciprocity has statistically significant effect on the trust of online customers and trust has a positive influence on customer satisfaction and loyalty in Internet shopping malls. Theoretical. managerial and research implications are discussed.

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The Effect of Global Retailer's Service Marketing Mix on Local Customers' Satisfaction and Loyalty Behaviors (글로벌 소매상의 서비스 마케팅믹스 요인이 고객만족 및 충성도에 미치는 영향)

  • Kim, Gil-Sung;Ryoo, Yun-Woong;Sui, Teng-Yu
    • Korea Trade Review
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    • v.42 no.2
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    • pp.77-96
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    • 2017
  • This paper attempts to analyze the influences of Korean global retailer's service marketing mix on local customers' satisfaction and their loyalty behaviors. Based on a literature review, three hypotheses are putting forward. The data from 139 customers in Weihai, China were used to test these hypotheses. This paper used Structural Equation Modeling to identify the relationship among the service marketing mix, the customer satisfaction and the customer loyalty behaviors. According to the empirical analysis, this study showed satisfactory data-fit of the proposed model and supported two of the three hypotheses. The empirical results indicated that the service marketing mix factors except the promotion factor take significant effect on the local customer satisfaction, and this in turn have influence on the customer loyalty behaviors. The result shows that Korean global retailers will need to leverage service marketing mix strategically when entering China. Practical implications of these findings needs to be considered for the global retailer to establish an effective marketing strategy.

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The Effects of Sentiment and Readability on Useful Votes for Customer Reviews with Count Type Review Usefulness Index (온라인 리뷰의 감성과 독해 용이성이 리뷰 유용성에 미치는 영향: 가산형 리뷰 유용성 정보 활용)

  • Cruz, Ruth Angelie;Lee, Hong Joo
    • Journal of Intelligence and Information Systems
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    • v.22 no.1
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    • pp.43-61
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    • 2016
  • Customer reviews help potential customers make purchasing decisions. However, the prevalence of reviews on websites push the customer to sift through them and change the focus from a mere search to identifying which of the available reviews are valuable and useful for the purchasing decision at hand. To identify useful reviews, websites have developed different mechanisms to give customers options when evaluating existing reviews. Websites allow users to rate the usefulness of a customer review as helpful or not. Amazon.com uses a ratio-type helpfulness, while Yelp.com uses a count-type usefulness index. This usefulness index provides helpful reviews to future potential purchasers. This study investigated the effects of sentiment and readability on useful votes for customer reviews. Similar studies on the relationship between sentiment and readability have focused on the ratio-type usefulness index utilized by websites such as Amazon.com. In this study, Yelp.com's count-type usefulness index for restaurant reviews was used to investigate the relationship between sentiment/readability and usefulness votes. Yelp.com's online customer reviews for stores in the beverage and food categories were used for the analysis. In total, 170,294 reviews containing information on a store's reputation and popularity were used. The control variables were the review length, store reputation, and popularity; the independent variables were the sentiment and readability, while the dependent variable was the number of helpful votes. The review rating is the moderating variable for the review sentiment and readability. The length is the number of characters in a review. The popularity is the number of reviews for a store, and the reputation is the general average rating of all reviews for a store. The readability of a review was calculated with the Coleman-Liau index. The sentiment is a positivity score for the review as calculated by SentiWordNet. The review rating is a preference score selected from 1 to 5 (stars) by the review author. The dependent variable (i.e., usefulness votes) used in this study is a count variable. Therefore, the Poisson regression model, which is commonly used to account for the discrete and nonnegative nature of count data, was applied in the analyses. The increase in helpful votes was assumed to follow a Poisson distribution. Because the Poisson model assumes an equal mean and variance and the data were over-dispersed, a negative binomial distribution model that allows for over-dispersion of the count variable was used for the estimation. Zero-inflated negative binomial regression was used to model count variables with excessive zeros and over-dispersed count outcome variables. With this model, the excess zeros were assumed to be generated through a separate process from the count values and therefore should be modeled as independently as possible. The results showed that positive sentiment had a negative effect on gaining useful votes for positive reviews but no significant effect on negative reviews. Poor readability had a negative effect on gaining useful votes and was not moderated by the review star ratings. These findings yield considerable managerial implications. The results are helpful for online websites when analyzing their review guidelines and identifying useful reviews for their business. Based on this study, positive reviews are not necessarily helpful; therefore, restaurants should consider which type of positive review is helpful for their business. Second, this study is beneficial for businesses and website designers in creating review mechanisms to know which type of reviews to highlight on their websites and which type of reviews can be beneficial to the business. Moreover, this study highlights the review systems employed by websites to allow their customers to post rating reviews.

The Impact of Prices and Distribution on Customer Satisfaction in the Pharmaceutical Industry of Kazakhstan

  • Аida OMIR;Assel BEKBOSSINOVA;Orazaly SABDEN;Anel A. KIREYEVA
    • Journal of Distribution Science
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    • v.22 no.7
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    • pp.83-94
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    • 2024
  • Purpose: This article aims to investigate the influence of pricing and distribution on the level of satisfaction and purchase decisions among consumers of pharmaceutical products in Kazakhstan. Research design, data, and methodology: A mixed-methods research design was utilized, incorporating primary and secondary data. Primary data were collected through a survey administered to customers across various pharmacy types, with 100 valid responses analyzed. Secondary data involved an extensive review of existing literature and analysis of national statistics concerning the pharmaceutical market trends from 2008 to 2022. Results: The results reveal a complex relationship between price perceptions and customer satisfaction. A significant segment of the population views current drug prices as high, which affects their satisfaction levels and purchase decisions. The study also highlights the importance of service quality in enhancing customer satisfaction, suggesting that service improvements could mitigate some of the negative perceptions of pricing. Conclusions: This research contributes to the limited but growing body of knowledge on the impact of pricing strategies on consumer satisfaction in the pharmaceutical sectors of developing countries like Kazakhstan. Focusing on economic and behavioral aspects, this study provides a more holistic understanding of the factors driving consumer satisfaction and purchase behaviors in this critical sector.

The Impact of Acquisition and Use of Customer Knowledge on CRM (고객지식의 획득/활용과 고객관계관리에 영향을 미치는 요인)

  • Lee Hyun-Soo;Chae Young-Il
    • Korean Management Science Review
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    • v.22 no.1
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    • pp.127-148
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    • 2005
  • This study aims at identifying the motive and infra that can satisfy them and enable them to succeed by coming out of existing customers control method focused on data and acquiring and applying the knowledge customers have. It also aims at enabling corporations to carry out more developed customer relations. This study will prove that acquiring and applying customers' knowledge is effective and will come up with a stepping-stone to get rid of dangerous factors by having competitiveness in a competitive environment and extending and changing the corporation. For this, the study have identified knowledge-oriented infra that corporations know and customer relations by conducting a poll of local corporations and have presented motives that can effectively carry out knowledge-based customer relations.

Design and Analysis of Ubiquitous Customer Relationship Management System Based on Near Field Communication (근거리 무선 통신 기반 유비쿼터스 고객 관계 관리 시스템의 설계 및 분석)

  • Jun, Jung-Ho;Park, Hyun-Soo;Lee, Kyoung-Jun
    • Information Systems Review
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    • v.14 no.1
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    • pp.37-65
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    • 2012
  • This research aims to design and analyze a ubiquitous customer relationship management system based on near field communication which can be applied to stores in off-line environment. The existing customer relationship management system has been used mainly for stores in off-line environment to issue a royalty card, to stamp a seal on the purchase goods, and to manage the history of customers' visits and purchases. But, the existing system has two weaknesses; it makes difficult for a store manger not only to acquire a wealth of customer data but also to systematically manage the acquired data. In particular, the effectiveness and efficiency of the royalty card are questioned when a customer makes purchases in the store in that the customer frequently does not carry it or loses it. So, this research suggests a ubiquitous customer relationship management system where a tag for near field communications is attached to a store in off-line environment; a store manager can collect and manage easily customer's dada and customers can seamlessly acquire store's information. To do this, this research conducts the followings. First, we review the previous researches of customer relationship management to examine the concept of ubiquitous customer relationship management. Second, from the examination, we draw the factors to be considered in ubiquitous customer relationship management system based on near field communication. Third, we propose a scenario where the suggested system is used. Fourth, we analyze the participants' values and the process that will be used for the suggested system. Finally, we discuss the possibility of the application of this system to real business environment from various viewpoints.

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