Product recommendation using online reviews with emotional preferences

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Limei Hu ◽  
Chunqia Tan ◽  
Hepu Deng
Keyword(s):  
Customer Satisfaction ◽  
Interface Design ◽  
Design Methodology ◽  
Online Reviews ◽  
Purchase Decisions ◽  
Combination Rule ◽  
Content Type ◽  
Online Purchase ◽  
Shapley Function ◽  
Novel Method

PurposeThe purpose of this paper is to develop a novel recommendation method using online reviews with emotional preferences for facilitating online purchase decisions. This leads to better use of information-rich online reviews for providing users with personalized recommendations.Design/methodology/approachA novel method is developed for producing personalized recommendations in online purchase decision-making. Such a method fuses the belief structure and the Shapley function together to effectively deal with the emotional preferences in online reviews and adequately tackle the interaction existent between product criteria with the use of a modified combination rule for making better online recommendations for making online purchase decisions.FindingsAn example is presented for demonstrating the applicability of the method for facilitating online purchase. The results show that the recommendation using the proposed method can effectively improve customer satisfaction with better purchase decisions.Research limitations/implicationsThe proposed method can better utilize online reviews for satisfying personalized needs of consumers. The use of such a method can optimize interface design, refine customer needs, reduce recommendation errors and provide personalized recommendations.Originality/valueThe proposed method adequately considers the characteristics of online reviews and the personalized needs of customers for providing customers with appropriate recommendations. It can help businesses better manage online reviews for improving customer satisfaction and create greater value for both businesses and customers.

Measuring social influence from online traveler reviews

2019 ◽  
Vol 3 (1) ◽  
pp. 54-72 ◽  
Author(s):  
Laura A. Book ◽  
Sarah Tanford
Keyword(s):  
Social Influence ◽  
Design Methodology ◽  
Online Reviews ◽  
Purchase Decisions ◽  
Content Type ◽  
Customer Reviews ◽  
Informational Influence ◽  
Travel Decisions ◽  
Different Characteristics ◽  
Item Scale

Purpose The purpose of this paper is to develop a scale to measure normative and informational influence in online traveler reviews. Design/methodology/approach Through proper scale development techniques and a two-sample validation process, the resulting 2-factor, 11-item scale yields a valid and reliable measure of social influence. Findings The resultant scale provides a tool for researchers to investigate the process whereby different characteristics of online reviews influence travel decisions. Originality/value Customer reviews are prevalent and powerful sources of influence on travel decisions. However, it is unclear how social influence manifests in today’s online purchasing environment. For several decades, the domain of social influence has played an important role in the advancements of consumer behavior and hospitality/tourism research. In particular, normative and informational influences are applicable, since online reviews contain numerous informational and normative cues. These principles were formulated under much different conditions than today’s purchasing environment. This research provides a way to measure normative and informational influence in the online review environment, thus enhancing the understanding of how reviews influence purchase decisions.

Are attractive reviewers more persuasive? Examining the role of physical attractiveness in online reviews

2019 ◽  
Vol 36 (6) ◽  
pp. 728-739
Author(s):  
Marie Ozanne ◽  
Stephanie Q. Liu ◽  
Anna S. Mattila
Keyword(s):  
Physical Attractiveness ◽  
Design Methodology ◽  
Cognitive Biases ◽  
Underlying Mechanism ◽  
Online Reviews ◽  
Purchase Decisions ◽  
Content Type ◽  
Brand Evaluations ◽  
The Impact

Purpose While online reviews are of paramount importance in brand evaluations and purchase decisions, the impact of a reviewer’s attractiveness is not well understood. To bridge that gap, this paper aims to explore how physical attractiveness cues through profile photos influence customers’ brand evaluations. Design/methodology/approach The first study assesses the impact of attractiveness and review valence on brand evaluations. The authors used an experimental design and tested the model with an ANCOVA. Study 2 examines the impact of attractiveness in the context of multiple reviews and tests attractiveness heuristic as the underlying mechanism. Findings The findings indicate that when an attractive (vs less-attractive) reviewer writes a positive review, brand evaluations are enhanced. However, such an effect does not occur with a negative review. With multiple reviews varying in valence, cognitive load activates the use of an attractiveness heuristic when a positive review is written by an attractive (vs less-attractive) reviewer, thus leading to enhanced brand evaluations. Originality/value These findings highlight the presence of the attractiveness halo effect in online reviews and offer important implications to social media marketers. While previous studies have largely focused on review characteristics (e.g. star ratings, strength of the argument, etc.), this study focuses on reviewer characteristics (i.e. attractiveness) and cognitive biases associated with online brand evaluations.

The study of online reviews and its relationship to online purchase intention for electronic products among the millennials in Malaysia

2020 ◽  
Vol 32 (7) ◽  
pp. 1519-1538
Author(s):  
Jian Wei Cheong ◽  
Siva Muthaly ◽  
Mudiarasan Kuppusamy ◽  
Cheng Han
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Design Methodology ◽  
Simple Random Sampling ◽  
Online Reviews ◽  
Research Data ◽  
Equation Modeling ◽  
Electronic Products ◽  
Content Type ◽  
Online Purchase

PurposeThe purpose of this research is to examine the type of online reviews (review timeliness, review quantity, and review valence) and its relationship toward online purchase intention for electronic products among millennials in Malaysia.Design/methodology/approchThe quantitative approach and simple random sampling methodology were used in this research. Data were gathered through a survey instrument, and the partial least squares structural equation modeling (PLS-SEM) technique was subsequently applied to 215 responses. The model explained 36.3 percent variation of the major constructs in relation to online purchase intention of electronic products amongst Malaysian millennials.FindingsReview timeliness is the most influential online reviews element towards Malaysian millennials' online purchase intention for electronic products.Originality/valueThis research project has provided the researcher and marketers with more clarity into the area of online purchase intention for electronic products, which is a volatile and dynamic area with continuous uncertainty.

scholarly journals Designing for the satisfaction of high-level needs

2014 ◽  
Vol 26 (6) ◽  
pp. 639-649 ◽  
Author(s):  
Petter Stenmark ◽  
Johan Lilja
Keyword(s):  
Customer Satisfaction ◽  
Design Methodology ◽  
Service Innovation ◽  
New Product ◽  
Service Development ◽  
Content Type ◽  
The Creation ◽  
High Level ◽  
Satisfaction Surveys

Purpose – The purpose of this paper is to introduce a methodology that can support the process of understanding and designing for the satisfaction of high-level needs in practice. The satisfaction of high-level needs has seldom been in focus when it comes to customer satisfaction surveys or the process of new product or service development. However, needs do occur on various levels, and the satisfaction of high-level needs actually appears to have the greatest potential for the creation of loyalty among customers and customer satisfaction. The satisfaction of high-level needs has furthermore been pointed out as a strategy for the creation of attractive quality. Design/methodology/approach – The paper is based on literature studies and the application of the Ideation Need Mapping (INM) methodology in a specific case. Findings – The paper presents the INM methodology that could be used for guiding product and service innovation in practice. More specifically, the methodology supports the process of understanding and designing for the satisfaction of high-level needs. Originality/value – This paper aims to contribute to envisioning and demonstrating how the understanding of, and design for, satisfaction of high-level needs can be done in practice.

Service recovery for moderate and high involvement services

2015 ◽  
Vol 29 (5) ◽  
pp. 331-343 ◽  
Author(s):  
Silke Bambauer-Sachse ◽  
Landisoa Eunorphie Rabeson
Keyword(s):  
Customer Satisfaction ◽  
Design Methodology ◽  
Service Failure ◽  
Service Recovery ◽  
Level Of Service ◽  
High Involvement ◽  
Content Type ◽  
Failure Severity ◽  
Future Consumption ◽  
Practical Implications

Purpose – The purpose of this study is to determine which level of tangible compensation for a service failure leads to high levels of customer satisfaction for moderate- versus high-involvement services as well as for different conditions of responsibility for the failure and failure severity. Design/methodology/approach – The study is based on a 4 (tangible compensation: gift, discount, credit for future consumption, refund) × 2 (responsibility for the failure: restaurant vs customer) × 2 (failure severity: low vs high) × 2 (involvement: moderate vs high) design using scenarios in a restaurant context. Findings – The results reveal that, for moderate-involvement services, all types of compensation are equally appropriate, except for when customers are responsible for a severe failure. In this condition, they expect tangible compensation of higher benefit. For high-involvement services, the more severe the failure, the higher the benefit of tangible compensation should be, independent of responsibility. Practical implications – The findings suggest that managers should consider the level of service involvement as well as responsibility for and severity of the failure when choosing the level of tangible compensation. Originality/value – The results of this study provide new insights into how to choose appropriate and efficient service recovery measures.

The importance of user-generated photos in restaurant selection

2019 ◽  
Vol 10 (1) ◽  
pp. 2-14 ◽  
Author(s):  
Bruno Oliveira ◽  
Beatriz Casais
Keyword(s):  
Design Methodology ◽  
Online Reviews ◽  
User Generated Content ◽  
Content Type ◽  
Online Platforms ◽  
Photo Sharing ◽  
Restaurant Managers ◽  
Marketing Activities ◽  
Hospitality Sector ◽  
Practical Implications

Purpose User-generated content and online reviews are highly relevant in purchase decision in the hospitality sector, including restaurants, but there is a lack of knowledge about the effect of sharing pictures in this context. This study aims to focus on the relevance of user-generated photos in online platforms for restaurants’ selection. Design/methodology/approach A research was conducted with a sample of 319 residents of Porto region, who had at least one meal in a restaurant over the 30 days before the answer of the survey and had searched online to select the restaurant. Findings The results show that while doing online research about restaurants, it is important for potential consumers to find pictures of food and physical evidences of restaurants generated by other users. Findings also show that consumers find user-generated photos especially at websites of reviews, although the importance of restaurant owned platforms, such as official social media pages and websites. Practical implications The research results appeal restaurant managers to understand the importance of user-generated photos in online platforms by promoting photo sharing in their restaurants with appropriate marketing activities for that purpose. Originality/value This paper expands the state-of-the-art about the importance of user-generated content, focusing on the importance of photos from restaurants shared by consumers in online platforms.

Comparing the service experience of satisfied and non-satisfied customers in the context of wine tasting rooms using the SERVQUAL model

2019 ◽  
Vol 32 (2) ◽  
pp. 301-324
Author(s):  
Matti Haverila ◽  
Kai Haverila ◽  
Mehak Arora
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Value For Money ◽  
Service Experience ◽  
Content Type ◽  
Survey Results ◽  
Repurchase Intent

Purpose The purpose of this study is to compare satisfied and non-satisfied customers in the context of wine tasting rooms using the SERVQUAL model and to examine the relationships in the model in terms of service experience to better understand customer needs. Design/methodology/approach The data used in this study were derived from a survey conducted among wineries in British Columbia, Canada. Analysis of survey results using the partial least squares structural equation modeling was undertaken. Sample size was 402. Findings The findings show that the SERVQUAL constructs that had the most impact on customer satisfaction and dissatisfaction were tangibility and assurance. Somewhat surprisingly, the perceived value for money construct was not significantly related to customer satisfaction but was significantly related to repurchase intent. Furthermore, all SERVQUAL constructs, except the reliability construct, were significantly related to customer satisfaction. Originality/value This study provides an overview of how wineries can improve their services to increase the number of satisfied customers.

Novel method for hyperspectral unmixing: fuzzy c-means unmixing

Sensor Review ◽  
2016 ◽  
Vol 36 (2) ◽  
pp. 184-192
Author(s):  
Mingyu Nie ◽  
Zhi Liu ◽  
Xiaomei Li ◽  
Qiang Wu ◽  
Bo Tang ◽  
...  
Keyword(s):  
Design Methodology ◽  
Hyperspectral Image ◽  
A Priori ◽  
Image Sensors ◽  
Spectral Unmixing ◽  
Content Type ◽  
Hyperspectral Unmixing ◽  
Fuzzy C Means ◽  
Novel Method ◽  
Iteration Analysis

Purpose This paper aims to effectively achieve endmembers and relative abundances simultaneously in hyperspectral image unmixing yield. Hyperspectral unmixing, which is an important step before image classification and recognition, is a challenging issue because of the limited resolution of image sensors and the complex diversity of nature. Unmixing can be performed using different methods, such as blind source separation and semi-supervised spectral unmixing. However, these methods have disadvantages such as inaccurate results or the need for the spectral library to be known a priori. Design/methodology/approach This paper proposes a novel method for hyperspectral unmixing called fuzzy c-means unmixing, which achieves endmembers and relative abundance through repeated iteration analysis at the same time. Findings Experimental results demonstrate that the proposed method can effectively implement hyperspectral unmixing with high accuracy. Originality/value The proposed method present an effective framework for the challenging field of hyperspectral image unmixing.

Determining banking service attributes from online reviews: text mining and sentiment analysis

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Divya Mittal ◽  
Shiv Ratan Agrawal
Keyword(s):  
Text Mining ◽  
Customer Satisfaction ◽  
Sentiment Analysis ◽  
Banking Sector ◽  
Online Reviews ◽  
Socioeconomic Background ◽  
Content Type ◽  
Customer Reviews ◽  
Banking Service ◽  
The Interest Rate

PurposeThe current study employs text mining and sentiment analysis to identify core banking service attributes and customer sentiment in online user-generated reviews. Additionally, the study explains customer satisfaction based on the identified predictors.Design/methodology/approachA total of 32,217 customer reviews were collected across 29 top banks on bankbazaar.com posted from 2014 to 2021. In total three conceptual models were developed and evaluated employing regression analysis.FindingsThe study revealed that all variables were found to be statistically significant and affect customer satisfaction in their respective models except the interest rate.Research limitations/implicationsThe study is confined to the geographical representation of its subjects' i.e. Indian customers. A cross-cultural and socioeconomic background analysis of banking customers in different countries may help to better generalize the findings.Practical implicationsThe study makes essential theoretical and managerial contributions to the existing literature on services, particularly the banking sector.Originality/valueThis paper is unique in nature that focuses on banking customer satisfaction from online reviews and ratings using text mining and sentiment analysis.

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.

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