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.

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.

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.

Broad-minded planning and narrow-minded action

2019 ◽  
Vol 32 (4) ◽  
pp. 961-974
Author(s):  
Juyoung Kim ◽  
Hong Im Shin ◽  
Hyung Tak Lee
Keyword(s):  
Design Methodology ◽  
Online Shopping ◽  
Perceptual Processing ◽  
Momentum Effect ◽  
Content Type ◽  
Planning Phase ◽  
Virtual Shopping ◽  
Practical Implications

Purpose Existing studies of shopping momentum effect show that an initial purchase causes the consumer to switch from a deliberative mindset to an implemental mindset, thereby leading to buy subsequent items based on Gollwitzer’s Rubicon model. Since purchase activity goes through the actional phase which has not been studied yet, the purpose of this paper is to explore the characteristics of the actional mindset compared with those of the planning and deliberative mindsets. Design/methodology/approach This study conducts three experiments to examine whether the implemental mindset can be differentiated from the actional mindset via recalls and perceptual processing measures. Findings The findings provide evidences that the actional mindset is different from the implemental mindset, and the planning phase is associated more with broad-mindedness, whereas the actional phase is with narrow-mindedness. Research limitations/implications Manipulation of the actional mindset can be extended to real purchases in physical shopping spaces, and various choice objects could be tested with a larger number of participants. Practical implications To boost the shopping momentum effect, marketers should put customers into an actional mindset by leading them to show their decisions such as carrying a shopping bag and uploading their purchased items. To avoid overbuying, customers should stay in planning mindsets without verbalizing their decisions. Putting goods into virtual shopping baskets in online shopping could be a good way to avoid overbuying. Originality/value The paper empirically explores the characteristics of actional mindset in terms of cognitive and perceptual processing and suggest meaningful implication in online shopping situation.

The behavioral analysis of choice difficulty states during clothing online shopping

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yumiao Chen ◽  
Zhongliang Yang
Keyword(s):  
Online Shopping ◽  
Research Work ◽  
Behavioral Analysis ◽  
Behavioral Performance ◽  
Choice Overload ◽  
Threshold Values ◽  
Content Type ◽  
Behavioral Indicators ◽  
Reported Study ◽  
Practical Implications

PurposeChoice overload in e-commerce induces choice difficulty, which is detrimental to shopping decision-making. The purpose of this paper is to provide relatively simple and effective methods and indicators to detect and assess the choice difficulty states of customers during clothing online shopping.Design/methodology/approachIn order to find out the behavioral performance of choice difficulty states during clothing online shopping, the authors performed the following steps: at first, the authors conducted an experiment to record the videos of the purchasing process during clothing online shopping. Then, the authors carried out the behavioral analysis of customers, correlating each behavioral index to choice difficulty states.FindingsThe results of the behavioral analysis in this study have indicated that three types of behavior were significantly correlated to the choice difficulty states of customers.Practical implicationsIt is expected that it would be possible to use the threshold values of behavioral indicators to determine whether and when the customer is suffering from choice phobia disorder. Based on the findings, a recommender system with timely interventions to help customers with choice difficulty to make shopping decisions will be developed in the future.Originality/valueThis is the first reported study that explores the possibility of using behavioral indicators to detect choice difficulty, which will remain helpful to the scientific community to start further customer-centered research work and development of clothing online shopping.

Expert cues: how expert reviewers are perceived online

2020 ◽  
Vol 30 (4/5) ◽  
pp. 531-556 ◽  
Author(s):  
Anna Naujoks ◽  
Martin Benkenstein
Keyword(s):  
Design Methodology ◽  
Online Reviews ◽  
The Other ◽  
Future Research ◽  
Review Author ◽  
Content Type ◽  
Source Expertise ◽  
Different Types ◽  
Practical Implications

PurposeThe purpose of this paper is to explore different types of source expertise and how they influence perceived message quality. Consumers face the challenge to identify valuable online reviews. Source expertise as a signal of message quality can be displayed differently, depending on website layout, operator and review author.Design/methodology/approachTwo scenario-based experiments were conducted questioning 135 and 275 participants. They investigate the effect of different types of expert reviewers on perceived message quality and also examine the interplay of source expertise and source trustworthiness.FindingsThe findings reveal that the different types of expert reviewers differ in perceived expertise and their impact on perceived message quality. Claims of expertise induce the highest perceived expertise compared to the other expert types and non-experts, but are perceived as less trustworthy.Research limitations/implicationsFuture research should examine the influence of the expert types across different product and service categories and could also include moderating influences that reflect how consumers process expert cues differently.Practical implicationsCues that signal high expertise and high trustworthiness are likely to deliver the most valuable online reviews. This should be incorporated in the website's layout to help consumers find valuable information.Originality/valueThe approach of this research is novel in that it undertakes comparisons between three types of expert cues and non-experts. It also addresses the interplay of source expertise and trustworthiness and examines the effect on message quality.

Dimensions of wine hotel experiences shared online

2019 ◽  
Vol 32 (1) ◽  
pp. 59-77 ◽  
Author(s):  
Ana Brochado ◽  
Mike Troilo ◽  
Helena Rodrigues ◽  
Fernando Oliveira-Brochado
Keyword(s):  
Market Segmentation ◽  
Food Service ◽  
Online Reviews ◽  
Tourism Industry ◽  
Content Type ◽  
Wine Tourism ◽  
Tourism Experience ◽  
Hotel Managers ◽  
Practical Implications ◽  
Present Understanding

Purpose The purpose of this study sought to identify the main themes linked with wine hotel experiences, based on tourists’ narratives shared online, and to investigate whether these narratives vary according to traveler type. Design/methodology/approach Content analysis was carried out on 4,114 online reviews of 52 wine hotels located in 27 wine regions across 11 nations in both the Old and New World. Findings The analysis of these web reviews revealed that narratives can be grouped under 11 themes organized into 7 main dimensions as follows: wine, lodging (i.e. hotel, area and room), food service (i.e. restaurant and breakfast), scenery (i.e. views and vineyards), staff, transportation and recommendation. The main narratives vary according to traveler type. Practical implications Improving the present understanding of wine tourists’ experiences should help wine hotel managers find new approaches to enhancing visitors’ satisfaction. As the dimensions of wine tourism experiences shared online vary according to traveler type, wine managers can design their offer to target families, couples, friends, solo and corporate clients. Originality/value Prior research has identified the need for market segmentation in the wine tourism industry. This research addresses this need by specifying the wine tourism experience according to traveler type. The breadth of the data, and the method of using travelers’ own testimony as opposed to more common surveying are additional contributions for both academics and managers.

Exploring tourists’ cultural experiences in Naples through online reviews

2017 ◽  
Vol 8 (2) ◽  
pp. 220-238 ◽  
Author(s):  
Maria I. Simeon ◽  
Piera Buonincontri ◽  
Fernando Cinquegrani ◽  
Assunta Martone
Keyword(s):  
Principal Component ◽  
Online Reviews ◽  
Marketing Strategies ◽  
General Level ◽  
Policy Makers ◽  
Content Type ◽  
Cultural Experiences ◽  
Managerial Implications ◽  
Critical Components ◽  
Practical Implications

Purpose This paper aims to analyse online reviews to explore the experiences of tourists related to cultural attractions. Furthermore, the study identifies similarities and differences between cultural attractions and identifies tourists’ preferences. Design/methodology/approach Content analysis and principal component analysis are applied to 12.592 online reviews, in Italian, posted on TripAdvisor by tourists who visited 58 cultural attractions of Naples (Italy) between 2011 and 2014. Findings Findings reveal five critical components of tourists’ experience related to cultural attractions: wonder, authenticity, relaxation, discovery and knowledge. Findings show that tourists can interpret cultural attractions in different ways. Research limitations/implications This study makes advancements on the relationships between tourists’ experience and cultural attractions. Research limitations are related to the geographical context and to the database, which presents a strong standardisation of evaluations, almost never negative. Furthermore, the analysis is limited to online reviews written in Italian language. Future studies will be dedicated to explore reviews in other languages and on other cultural destinations. Practical implications The study draws managerial implications at local and general level. Locally, findings provide suggestions and practical implications to support the tourism policies and marketing of Naples. At general level, the paper provides implications for destination manager organisations and policy makers to strengthen the attractiveness of cultural attractions, develop destination marketing strategies and offer more satisfying cultural experiences. Originality/value This is one of the first studies that uses online reviews to explore the experiences of tourists who visit cultural attractions.

To follow others or be yourself? Social influence in online restaurant reviews

2020 ◽  
Vol 32 (3) ◽  
pp. 1067-1087 ◽  
Author(s):  
Hengyun Li ◽  
Fang Meng ◽  
Miyoung Jeong ◽  
Zili Zhang
Keyword(s):  
Social Influence ◽  
Online Reviews ◽  
Positive Influence ◽  
Cognitive Effort ◽  
Content Type ◽  
Product Service ◽  
The Social ◽  
Restaurant Reviews ◽  
Influence Process ◽  
Practical Implications

Purpose Online reviews are often likely to be socially influenced by prior reviews. This study aims to examine key review and reviewer characteristics which may influence the social influence process. Design/methodology/approach Restaurant review data from Yelp.com are analyzed using an ordered logit model and text mining approach. Findings This study reveals that prior average review rating exerts a positive influence on subsequent review ratings for the same restaurant, but the effect is attenuated by the variance in existing review ratings. Moreover, social influence is stronger for consumers who had a moderate dining experience or invested less cognitive effort in writing online reviews. Compared to reviewers classified by Yelp as “elite,” non-elite reviewers appear more susceptible to the social influence of prior average review rating. Practical implications This study provides guidelines for mitigating the social influence of prior reviews and improving the accuracy of online product/service ratings, which will eventually enhance business and the reputation of online review platforms. Originality/value The findings from this study contribute to the electronic word-of-mouth (eWOM) literature and social influence literature in terms of the bidirectional nature of social influence on eWOM.

Utilizing online reviews

2020 ◽  
Vol 36 (3) ◽  
pp. 17-18
Keyword(s):  
Case Studies ◽  
Design Methodology ◽  
Reading Time ◽  
Online Reviews ◽  
Cutting Edge ◽  
Organizational Strategies ◽  
Content Type ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Online hotel reviews have the potential to boost the operational efficiencies and implementation of organizational strategies when adopted effectively. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Toward maximization of peer-to-peer accommodation hosts’ competitive productivity (CP)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sung In Kim ◽  
Jaewook Kim ◽  
Yoon Koh ◽  
John T. Bowen
Keyword(s):  
Driving Forces ◽  
Online Reviews ◽  
Sharing Economy ◽  
Peer To Peer ◽  
Content Type ◽  
Entrepreneurial Firm ◽  
Managerial Implications ◽  
Key Drivers ◽  
Practical Implications ◽  
Host Resource

Purpose The research purpose is to conceptualize competitive productivity (CP) in the peer-to-peer (P2P) accommodation businesses. This study aims to conceptualize the four driving forces of P2P hosts’ CP and to empirically capture guest-based equity that supports such conceptual hosts’ CP model. Design/methodology/approach The goal of this paper is to apply Bauman’s Firm competitive productivity (FCP) model to the P2P accommodation business to conceptualize the CP of micro-entrepreneurial hosts. Four areas of the FCP model were reviewed to find how each of them contributes to the P2P hosts’ CP maximization. Findings Host talent, host resource management, value and host branding were conceptualized as key drivers of P2P hosts’ CP. The study also filled a gap in current literature by empirically analyzing online reviews to successfully capture key guest-based equity as satisfiers contributing to host talent, resource and branding. Practical implications Based on the hosts’ CP model, customer-generated resources play a significant role in the managerial implications, so that guest reviews with needs and wants and ratings can be empirically used to strengthen hosts’ CP under specific market circumstances. Originality/value This study is the first attempt to conceptualize a P2P host as a micro-entrepreneurial firm in the sharing economy platform for CP. This study looked at how the unique characteristics of the P2P accommodation industry and guest-based equity affect the P2P hosts’ CP.

Sign in / Sign up

Export Citation Format

Share Document