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Article
Publication date: 27 January 2023

Trung Dam-Huy Thai, Tin Trung Nguyen, Wen-Kuo Chen and Au Due Tang

Integrating the Stimulus-Organism-Response model, the spillover theory and the person-organization fit literature, this study investigates how internal marketing spills over its…

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Abstract

Purpose

Integrating the Stimulus-Organism-Response model, the spillover theory and the person-organization fit literature, this study investigates how internal marketing spills over its effects from the work domain to nonwork domains.

Design/methodology/approach

Data of 279 hotel employees working in the US were collected from a self-administered survey via Amazon Mechanical Turk.

Findings

Findings support the direct effects of internal marketing on job performance and job satisfaction, and of job satisfaction on life satisfaction. Moreover, results show the mediating roles of perceived person-organization fit, highlighting the mechanism by which internal marketing generates its spillover effect from the work domain to the life domain.

Originality/value

This study advances the conversation on employee-organization behaviors by revealing how internal marketing could lead to job satisfaction, job performance and life satisfaction. These insights reflect the true interconnection of human work and life. For hospitality employees’ well-being, this study encourages managers to simultaneously adopt and integrate the five functional activities of internal marketing (i.e. communication, compensation, welfare system, training and management support) in organizational operations.

Details

Baltic Journal of Management, vol. 18 no. 2
Type: Research Article
ISSN: 1746-5265

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Article
Publication date: 25 November 2022

Wen-Kuo Chen, Chia-Ju Ling and Chien-Wen Chen

This study is based on a web-based advertising value model, adding emotional appeal, advertising credibility, advertising clicks, product evaluation and incentive to examine the…

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Abstract

Purpose

This study is based on a web-based advertising value model, adding emotional appeal, advertising credibility, advertising clicks, product evaluation and incentive to examine the impact on consumers' product evaluation and purchase intention.

Design/methodology/approach

In total, 313 valid online questionnaires were collected from those who had browsed the social media advertisement.

Findings

The results show that advertising credibility and emotional appeal have a higher impact on advertising attitude than informativeness and irritation in the original web-based advertising value model.

Research limitations/implications

The findings strengthen the literature on the antecedents of advertising attitude in social media context, confirming advertising clicks as a predictor of product evaluation, and determining that advertising attitude, product evaluation and incentive play key roles as predictors of consumer purchase intention.

Practical implications

The findings are particularly relevant to advertising marketing managers. In the context of social media advertising, the advertising credibility of consumers is the key to increasing consumers' willingness to purchase. Advertisers must establish a good advertising reputation to consumers in the social media context.

Originality/value

This study combines the web-based advertising value model, advertising clicks, product evaluation and incentive to investigate the factors that influence customers' purchase decisions in the context of social media.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 35 no. 8
Type: Research Article
ISSN: 1355-5855

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Book part
Publication date: 1 January 2004

Tina Yu, Shu-Heng Chen and Tzu-Wen Kuo

We model international short-term capital flow by identifying technical trading rules in short-term capital markets using Genetic Programming (GP). The simulation results suggest…

Abstract

We model international short-term capital flow by identifying technical trading rules in short-term capital markets using Genetic Programming (GP). The simulation results suggest that the international short-term markets was quite efficient during the period of 1997–2002, with most GP generated trading strategies recommending buy-and-hold on one or two assets. The out-of-sample performance of GP trading strategies varies from year to year. However, many of the strategies are able to forecast Taiwan stock market down time and avoid making futile investment. Investigation of Automatically Defined Functions shows that they do not give advantages or disadvantages to the GP results.

Details

Applications of Artificial Intelligence in Finance and Economics
Type: Book
ISBN: 978-1-84950-303-7

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Book part
Publication date: 1 January 2004

Abstract

Details

Applications of Artificial Intelligence in Finance and Economics
Type: Book
ISBN: 978-1-84950-303-7

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Book part
Publication date: 1 January 2004

Artificial intelligence is a consortium of data-driven methodologies which includes artificial neural networks, genetic algorithms, fuzzy logic, probabilistic belief networks and…

Abstract

Artificial intelligence is a consortium of data-driven methodologies which includes artificial neural networks, genetic algorithms, fuzzy logic, probabilistic belief networks and machine learning as its components. We have witnessed a phenomenal impact of this data-driven consortium of methodologies in many areas of studies, the economic and financial fields being of no exception. In particular, this volume of collected works will give examples of its impact on the field of economics and finance. This volume is the result of the selection of high-quality papers presented at a special session entitled “Applications of Artificial Intelligence in Economics and Finance” at the “2003 International Conference on Artificial Intelligence” (IC-AI ’03) held at the Monte Carlo Resort, Las Vegas, NV, USA, June 23–26 2003. The special session, organised by Jane Binner, Graham Kendall and Shu-Heng Chen, was presented in order to draw attention to the tremendous diversity and richness of the applications of artificial intelligence to problems in Economics and Finance. This volume should appeal to economists interested in adopting an interdisciplinary approach to the study of economic problems, computer scientists who are looking for potential applications of artificial intelligence and practitioners who are looking for new perspectives on how to build models for everyday operations.

Details

Applications of Artificial Intelligence in Finance and Economics
Type: Book
ISBN: 978-1-84950-303-7

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Book part
Publication date: 7 June 2010

Jet-Chau Wen, Kuo-Chyang Chang, Shao-Yang Huang, Chia-Chen Hsu, Keng-Yu Chang and Wen-Ni Chen

Rivers flowing through the land are a source of life. They have different importance and functions such as for drinking, sailing, irrigating crops, generating electricity…

Abstract

Rivers flowing through the land are a source of life. They have different importance and functions such as for drinking, sailing, irrigating crops, generating electricity, sightseeing, fishing, and so on. In addition, animals like amphibians, birds, and mammals also live and propagate near the river environment. Therefore, rivers are ecosystems for some animals and plants that are special, rare, or on the brink of extinction (Water Resources Agency, Ministry of Economic Affairs, 2006).

Details

Water Communities
Type: Book
ISBN: 978-1-84950-699-1

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Book part
Publication date: 1 January 2004

Abstract

Details

Applications of Artificial Intelligence in Finance and Economics
Type: Book
ISBN: 978-1-84950-303-7

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