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Article
Publication date: 28 July 2021

Yong-Hai Li, Jin Zheng, Shan-Tao Yue and Zhi-Ping Fan

In recent years, electronic word-of-mouth (e-WOM) concerning travel products reflected in online review information has become an important reference for tourists to make their…

458

Abstract

Purpose

In recent years, electronic word-of-mouth (e-WOM) concerning travel products reflected in online review information has become an important reference for tourists to make their product purchase decisions, while for travel service providers (TSPs), monitoring and improving the e-WOM of their travel products is always an important task. Therefore, based on the online review information, how to capture e-WOM of travel products and find out specific ways to improve the e-WOM is a noteworthy research problem. The purpose of this paper is to develop a method for capturing and analyzing e-WOM toward travel products based on sentiment analysis and stochastic dominance.

Design/methodology/approach

Specifically, online review information of travel products is first crawled and preprocessed. Second, sentiment strengths of online review information toward travel products concerning each feature are judged. Then, the matrix of structured online review information toward travel products is formed. Further, the matrix of e-WOM comparisons between any two travel products is constructed, and e-WOM ranking concerning each travel product is determined. Finally, trade-off chart models are constructed to conduct the e-WOM improvement analyses concerning the travel products.

Findings

An empirical study based on the online review information toward six travel products crawled from the Tuniu.com website is given to illustrate the use of the proposed method.

Originality/value

The proposed method can not only realize the real-time e-WOM monitoring to travel products but also be useful for TSPs to improve the e-WOM of their travel products.

Details

Kybernetes, vol. 51 no. 10
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 22 November 2017

Yong-Hai Li, Zhi-Ping Fan and Guang-Hui Qiao

The purpose of this paper is to present a novel framework for recommending desirable products to active customers with the consideration of not only their preferences but also the…

449

Abstract

Purpose

The purpose of this paper is to present a novel framework for recommending desirable products to active customers with the consideration of not only their preferences but also the products’ quality performances and their e-retailers’ service performances under e-commerce.

Design/methodology/approach

A framework in support of the product recommendation is presented. Three modules are involved in the framework, i.e. data collection and preference analysis module, hybrid recommendation module and recommendation generation module. First, preferences of different types of customers are inferred through analysis of their behavioral data and then a paradigm is adopted based on cased-based reasoning to generate candidate recommendation products. Further, recommendation lists for different types of customers are obtained through measurement of the quality and service performances concerning each candidate recommendation product.

Findings

To illustrate the performance of the presented framework, a simulation study comparing the approach developed based on the framework and the traditional approach is conducted. The experiment results show that the developed approach outperformed the traditional approach in term of average rank score. This means that incorporating the consideration of product performance and customer service factors can play an important role in product recommendations.

Originality/value

The presented framework can overcome the defect that low conversion rate of recommended products to actually purchased ones suffered by the traditional approach. In addition, the use of the presented framework can not only help customers to obtain desirable products and save searching time but also supervise and urge e-retailers to pay more attention to the quality and service performances.

Details

Kybernetes, vol. 46 no. 10
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 10 September 2018

Mahdi Salehi, Mahmoud Lari DashtBayaz and Samaneh Mohammadi Moghadam

The purpose of this paper is to assess the relationship between some management features (management capability, management entrenchment, agency costs and overconfidence) and the…

831

Abstract

Purpose

The purpose of this paper is to assess the relationship between some management features (management capability, management entrenchment, agency costs and overconfidence) and the innovation of companies listed on the Tehran Stock Exchange.

Design/methodology/approach

The study carried out during 2009–2015. A total of 125 companies were selected from eight industries as the sample of study using the method of systematic elimination. A descriptive-correlational design was used in this study and panel data regression models were employed for developing the relationship between research variables.

Findings

The obtained results indicated that managerial ability could foster innovation, while managerial entrenchment could stifle innovation and agency costs and overconfidence have no effect on innovation.

Originality/value

The current study is almost the first project which focuses on the management characteristics and firm innovation in developing countries.

Details

International Journal of Productivity and Performance Management, vol. 67 no. 7
Type: Research Article
ISSN: 1741-0401

Keywords

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