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Article
Publication date: 21 March 2016

Cheng-Yue Yin and Patrick Poon

This paper aims to examine the impact of other group members on the travel experiences of Chinese tourists participating in domestic package tours.

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Abstract

Purpose

This paper aims to examine the impact of other group members on the travel experiences of Chinese tourists participating in domestic package tours.

Design/methodology/approach

Based on the critical incident technique, usable responses were obtained from 253 tourists regarding the influence of other group members on their travel experiences in the same group package tour (GPT).

Findings

The results show that the travel experiences of Chinese tourists on a domestic package tour are affected by three general factors, namely, appearance, behaviors, and language of other group members.

Research limitations/implications

This research mainly involves samples of young tourists. The findings may not be able to generalize to elderly tourists. Future studies may involve samples from various age cohorts.

Practical implications

The findings offer new insights and directions for GPT operators and tour guides to improve tourism management and tourist experiences.

Social implications

This study contributes to tourism literature about customer-to-customer interaction by identifying the major categories of other customers’ characteristics or behaviors that may positively or negatively influence a GPT tourist’s travel experience.

Originality/value

This study enriches the existing literature by investigating the attributes of other group members that may affect the travel experiences of a domestic GPT participant. Tourism firms can formulate better strategies and staff training to enhance tourists’ travel experiences.

Details

International Journal of Contemporary Hospitality Management, vol. 28 no. 3
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 13 March 2017

Patrick Poon, Gerald Albaum and Cheng-Yue Yin

The purpose of this paper is to examine the dimensions of interpersonal trust which would affect the buyer-salesperson relationship in a direct selling situation. It also…

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Abstract

Purpose

The purpose of this paper is to examine the dimensions of interpersonal trust which would affect the buyer-salesperson relationship in a direct selling situation. It also investigates consumers’ perceived risk and advantages of direct selling.

Design/methodology/approach

A questionnaire survey of consumers (and also non-consumers) of direct selling companies in Hong Kong was performed by means of mall-intercept interview. The major measurements were perceived risk, perceived advantages, trust dimensions, and repurchase intention.

Findings

The results show that there are six dimensions of interpersonal trust in the buyer-seller relationship in direct selling, but only one dimension (i.e. honesty) has a significant relationship with repurchase intention. The ability to shop at home is found to have the highest advantage rating of direct selling. In addition, direct selling is perceived to have a lower level of risk than unsolicited telephone call such as telemarketing.

Originality/value

This is the first study to investigate the effects of different dimensions of interpersonal trust on consumer buying behavior under a direct selling situation in Asia. The study also serves as a foundation for studying the applicability and usefulness of all trust measures in other western or non-western cultures/nations.

Details

International Journal of Retail & Distribution Management, vol. 45 no. 3
Type: Research Article
ISSN: 0959-0552

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Article
Publication date: 17 September 2019

Cheng-Yue Yin, Nan Bi, Patrick Poon and Yang Sun

The purpose of this paper is to examine the interaction effect of endorser ethnicity (local Chinese vs Western) and portrayal (smart vs sexy) on Chinese women’s attitudes toward…

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Abstract

Purpose

The purpose of this paper is to examine the interaction effect of endorser ethnicity (local Chinese vs Western) and portrayal (smart vs sexy) on Chinese women’s attitudes toward luxury advertisements and brands, as well as any moderating effect appearance self-esteem has on the above-mentioned interaction.

Design/methodology/approach

Two online experiments were conducted. Study 1 was a 2×2 factorial design (with 280 participants), while Study 2 was a 2×2 ×2 factorial design (with 320 participants). Data were analyzed using a multivariate analysis of variance (MANOVA) test and simple effect analysis.

Findings

Results demonstrated that Chinese female consumers are more likely to have a positive attitude toward advertisements for luxury goods and brands when a local Chinese (vs Western) endorser is used and portrayed as smart (vs sexy), particularly if consumers have low appearance self-esteem.

Research limitations/implications

The research focused only on female consumers and only one product type was used for the experiments. The use of controls for potential confounding effects was insufficient in this study design.

Practical implications

To maximize profits, marketers should choose the most appropriate combination of endorser ethnicity and portrayal in the Chinese luxury goods market. Accordingly, if adopting a localization strategy and using a Chinese female endorser, the endorser should be portrayed as smart rather than sexy. In contrast, if a luxury brand adopts an internationalization strategy and uses the same Western female endorser as in other countries, it is more effective to portray her as sexy rather than smart. Furthermore, advertisers should pay particular attention to Chinese female consumers who have low appearance self-esteem when advertising their product and/or brand.

Originality/value

Compared with past studies concerned with consumers’ perceptions of endorser image in advertisements through a focus on endorser ethnicity, this study linked endorser portrayal with his/her ethnicity and discussed the interaction effects between these two factors on consumers’ attitudes toward the advertisement and the brand portrayed in the advertisement. The findings herein contribute new insights to the body of work on luxury marketing and endorser advertising.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 32 no. 2
Type: Research Article
ISSN: 1355-5855

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Article
Publication date: 9 October 2023

Xiaoguang Wang, Yue Cheng, Tao Lv and Rongjiang Cai

The authors hope to filter valuable information from online reviews, obtain objective and accurate information about the demands of auto consumers and help auto companies develop…

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Abstract

Purpose

The authors hope to filter valuable information from online reviews, obtain objective and accurate information about the demands of auto consumers and help auto companies develop more reasonable production and marketing strategies for healthy and sustainable development. This paper aims to discuss the aforementioned objectives.

Design/methodology/approach

The authors collected review data from online automotive forums and generated a corpus after pre-processing. Then, the authors extracted consumer demands and topics using the LDA model. Finally, the authors used a trained Word2vec tool to extend the consumer demand topics.

Findings

Different types of vehicle consumers have the same demands, such as “Space,” “Power Performance,” and “Brand Comparison,” and distinct demands, such as “Appearance,” “Safety,” “Service,” and “New Energy Features”; consumers who buy new energy vehicles are still accustomed to comparing with the brands or models of fuel vehicles; new energy vehicles consumers pay more attention to services and service quality during the purchasing and using process.

Research limitations/implications

The development time of new energy vehicles is relatively short, with some models being available for only one year or even six months. The smaller amount of available data may impact the applicability of topic models. The sample size, especially for new energy vehicles, needs to be increased to improve the general applicability of topic models further.

Practical implications

First, this measure helps online review websites improve their existing review publication mechanisms, enhance the overall quality of online review content, increase user traffic and promote the healthy development of online review websites. Second, this allows for timely adjustments in future product production and sales plans and further enhances automotive companies' ability to leverage online reviews for Internet marketing.

Originality/value

The authors have improved the accuracy and stability of the fused topic model, providing a scientific and efficient research tool for multi-dimensional topic mining of online reviews. With the help of research results, consumers can more easily understand the discussion topics and thus filter out valuable reference information. As a result, automotive companies may gain information about consumer demands and product quality feedback and thus quickly adjust production and marketing strategies to increase sales and market share.

Details

Marketing Intelligence & Planning, vol. 41 no. 8
Type: Research Article
ISSN: 0263-4503

Keywords

Available. Open Access. Open Access
Article
Publication date: 13 October 2022

Linzi Wang, Qiudan Li, Jingjun David Xu and Minjie Yuan

Mining user-concerned actionable and interpretable hot topics will help management departments fully grasp the latest events and make timely decisions. Existing topic models…

466

Abstract

Purpose

Mining user-concerned actionable and interpretable hot topics will help management departments fully grasp the latest events and make timely decisions. Existing topic models primarily integrate word embedding and matrix decomposition, which only generates keyword-based hot topics with weak interpretability, making it difficult to meet the specific needs of users. Mining phrase-based hot topics with syntactic dependency structure have been proven to model structure information effectively. A key challenge lies in the effective integration of the above information into the hot topic mining process.

Design/methodology/approach

This paper proposes the nonnegative matrix factorization (NMF)-based hot topic mining method, semantics syntax-assisted hot topic model (SSAHM), which combines semantic association and syntactic dependency structure. First, a semantic–syntactic component association matrix is constructed. Then, the matrix is used as a constraint condition to be incorporated into the block coordinate descent (BCD)-based matrix decomposition process. Finally, a hot topic information-driven phrase extraction algorithm is applied to describe hot topics.

Findings

The efficacy of the developed model is demonstrated on two real-world datasets, and the effects of dependency structure information on different topics are compared. The qualitative examples further explain the application of the method in real scenarios.

Originality/value

Most prior research focuses on keyword-based hot topics. Thus, the literature is advanced by mining phrase-based hot topics with syntactic dependency structure, which can effectively analyze the semantics. The development of syntactic dependency structure considering the combination of word order and part-of-speech (POS) is a step forward as word order, and POS are only separately utilized in the prior literature. Ignoring this synergy may miss important information, such as grammatical structure coherence and logical relations between syntactic components.

Details

Journal of Electronic Business & Digital Economics, vol. 1 no. 1/2
Type: Research Article
ISSN: 2754-4214

Keywords

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