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Article
Publication date: 9 February 2024

Hsiang-Ming Lee, Ya-Hui Hsu, Tsai Chen, Wei-Yuan Lo and Wei-Chun Chien

The purpose of this study is to understand the effect of different brand positions (underdog vs top dog) and comparative advertising on consumers’ brand attitudes. Additionally…

590

Abstract

Purpose

The purpose of this study is to understand the effect of different brand positions (underdog vs top dog) and comparative advertising on consumers’ brand attitudes. Additionally, this study also aims to demonstrate the effects of inspiration, self-relevance and empathy on the relationship between brand positioning and comparative advertising.

Design/methodology/approach

A two-by-three factorial design was employed with brand positions (underdog vs top dog) and three types of comparative advertising (noncomparative, indirect comparative and direct comparative) as the independent variables. Inspiration serves as the mediator, while self-relevance and empathy act as moderators and brand attitude is the dependent variable.

Findings

The results show that different brand positions significantly affect brand attitudes, with respondents having a better brand attitude toward the underdog brand. Brand attitude is partially mediated by inspiration. Self-relevance moderates the relationship between brand positioning and brand attitude. However, brand positioning, comparative advertising and empathy do not have interaction effects.

Research limitations/implications

This study contributes to a better understanding of the effect of psychological variables on brand positioning and comparative advertising.

Practical implications

The results suggest that the underdog setting requires a real and honest story because consumers will spot a fake underdog story, which will damage consumer trust in the brand and harm the brand image.

Originality/value

There is a lack of research using psychological variables to demonstrate the effect of being the underdog brand. This study contributes to the literature by employing psychological variables to illustrate the effect of underdog positioning. These findings can help brands develop branding positioning strategies.

Details

Marketing Intelligence & Planning, vol. 42 no. 3
Type: Research Article
ISSN: 0263-4503

Keywords

Available. Content available
Book part
Publication date: 24 June 2024

Noel Scott, Brent Moyle, Ana Cláudia Campos, Liubov Skavronskaya and Biqiang Liu

Free Access. Free Access

Abstract

Details

Cognitive Psychology and Tourism
Type: Book
ISBN: 978-1-80262-579-0

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Article
Publication date: 2 December 2022

Hui Hong, Shitong Wu and Chien-Chiang Lee

The purpose of the paper is to assess the systemic risk in the new energy stock markets of China.

129

Abstract

Purpose

The purpose of the paper is to assess the systemic risk in the new energy stock markets of China.

Design/methodology/approach

This paper first uses the VaR method to study individual stock market risks. It then introduces the DCC model to capture the dynamic conditional correlation among the new energy stock markets.

Findings

The paper shows a generally upward trend of the stock market risk over time in the recent decade. Among all the markets considered, the solar power market demonstrates the highest risk, closely followed by the wind power market, while the hydropower market exhibits the lowest risk. Furthermore, the average dynamic conditional correlations among the new energy markets stay high during the period under investigation though daily correlations vary and significantly declined in 2020.

Originality/value

To the best of the authors’ knowledge, this paper is the first of its kind to study the systemic risk within the new energy stock market context. In addition, it not only investigates individual new energy stock market risks but also examines the dynamic linkages among those markets, thus providing comprehensive and unprecedented evidence of systemic risk in China new energy markets, which have useful implications for both regulators and investors.

Details

International Journal of Emerging Markets, vol. 19 no. 10
Type: Research Article
ISSN: 1746-8809

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Article
Publication date: 26 December 2024

Sheng-Fang Chou, Jeou-Shyan Horng, Chih-Hsing Liu, Tai-Yi Yu, Yung-Chuan Huang, Quoc Phong La and Yen-Ling Ng

Since the COVID-19 epidemic, the number of restaurant service quality studies has continued to increase. However, until now, there has not been an overall perspective or accurate…

93

Abstract

Purpose

Since the COVID-19 epidemic, the number of restaurant service quality studies has continued to increase. However, until now, there has not been an overall perspective or accurate instructions for research on restaurant service quality and experiential value enhancement. This study conducts multiple comparison studies to discover differences between consumer-perceived service quality and satisfaction perspectives on hotel fine dining and chain restaurants.

Design/methodology/approach

This study integrates a hotel’s fine dining and chain restaurant to obtain 636 participants (e.g. Study 1 has 318 hotel fine dining customers; Study 2 has 318 chain restaurant customers), mainly expanding the SERVQUAL model and stimulus–organism–response (S–O–R) theory.

Findings

The results of Study 1 show that value co-creation has a mediating effect on the relationship between service quality and satisfaction. In addition, customer experiences have a significant moderating effect on customer satisfaction. The outcomes of Study 2 showed that experiential value has a significant mediating effect on the relationship between service quality and satisfaction. In addition, customer relationship quality is a critical criterion in regulating the process of experience value delivery.

Practical implications

Hotels’ fine dining should pay attention to the item risk in the value co-creation factor, while chain restaurants should enhance the item service excellence in the experiential value factor to satisfy the changing customer requirements.

Originality/value

This study provides several alternative models to verify the robustness of the empirical results.

Highlights

  1. This research has brought clarity to the diverse mediation-moderation models that compare of hotel fine dining and chain restaurant consumer perceived service quality and satisfaction predictions.

  2. These models delve into how different service quality requirements after the epidemic that affect customer satisfaction, as perceived by customers consumed in hotel fine dining and chain restaurant.

  3. Value cocreation and experiential value emerge as pivotal factors, they act as mediators between service quality and satisfaction.

  4. They demonstrate a moderation effect of customer experiences between value cocreation and satisfaction, as well as customer relationship quality between experiential value and satisfaction.

This research has brought clarity to the diverse mediation-moderation models that compare of hotel fine dining and chain restaurant consumer perceived service quality and satisfaction predictions.

These models delve into how different service quality requirements after the epidemic that affect customer satisfaction, as perceived by customers consumed in hotel fine dining and chain restaurant.

Value cocreation and experiential value emerge as pivotal factors, they act as mediators between service quality and satisfaction.

They demonstrate a moderation effect of customer experiences between value cocreation and satisfaction, as well as customer relationship quality between experiential value and satisfaction.

Details

Journal of Hospitality and Tourism Insights, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9792

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Article
Publication date: 25 August 2023

Liang Xiao, Jiawei Wang and Xinyu Wei

Value co-creation (VCC) helps platforms establish competitive advantages. Unlike their traditional counterparts, social attribute is a key concept of social e-commerce platforms…

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Abstract

Purpose

Value co-creation (VCC) helps platforms establish competitive advantages. Unlike their traditional counterparts, social attribute is a key concept of social e-commerce platforms. This study integrates VCC and social network theories, introduces relational embeddedness and divides this variable into economic and social relational embeddedness to explore its impact on VCC intention. This study also explores the mediating and moderating roles of customers' psychological ownership (CPO) and regulatory focus, respectively.

Design/methodology/approach

A questionnaire survey was conducted among users of mainstream social e-commerce platforms in China, and the relationship among the variables was revealed through a structural equation modeling of 464 valid responses.

Findings

The dimensions of relational embeddedness positively affect CPO and VCC intention, with social relational embeddedness exerting the strongest effect. CPO positively affects VCC intention and partially mediates the relationship between relational embeddedness and VCC intention. Promotion and prevention focus positively and negatively moderate the relationship between CPO and VCC intention, respectively.

Originality/value

This study expands the VCC research perspective and links the VCC concepts to social network dynamics. From the relational embeddedness perspective, this study identifies the type and intensity of relational embeddedness that promotes users' VCC intention and contributes to theoretical research on VCC and relational embeddedness. This study also introduces CPO as an intermediary variable, thus opening the black box of this mechanism, and confirms the moderating role of regulatory focus as the key psychological factor motivating users' VCC intention.

Details

Journal of Research in Interactive Marketing, vol. 18 no. 3
Type: Research Article
ISSN: 2040-7122

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Article
Publication date: 15 October 2024

Xiao Liang, Mary Quinton, Jet Veldhuijzen van Zanten, Zhaoyu Duan, Barnaby Zoob Carter, Andrew Heyes, Mark Lee, Abdullah Alharbi and Shushu Chen

The global hosting of major events is garnering increasing attention from governments. As this phenomenon expands into emerging states, where arguably the most severe inequalities…

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Abstract

Purpose

The global hosting of major events is garnering increasing attention from governments. As this phenomenon expands into emerging states, where arguably the most severe inequalities exist, the question of who truly benefits from these events has not been systematically scrutinised, particularly from an Equality, Diversity and Inclusion (EDI) perspective. Therefore, adopting a nuanced segmentation approach is increasingly vital to assess the diverse impacts of hosting major sporting events on varied populations. This systematic review offers a broad and exploratory investigation into how major sporting events affect communities and individuals from disadvantaged backgrounds (CIDBs).

Design/methodology/approach

In alignment with the PRISMA guidelines, four academic databases were searched to identify peer-reviewed articles published in English-language journals from 2000 to 2023. A total of 95 full-text articles were assessed for eligibility, culminating in a final sample of 14 articles in the review.

Findings

The selected articles showed moderate quality and primarily used qualitative methods. The urban theories or event leverage frameworks are frequently employed. There are four legacy/impact themes that emerged: social, economic, sport and infrastructure. The prevailing conclusion is that CIDBs tend to experience negative legacies from these events.

Research limitations/implications

This research underscores the pressing need for more socially responsible and equitable approaches to event hosting. Failing to tackle these crucial issues may intensify existing inequalities and provoke significant public dissatisfaction, thereby jeopardising the overarching goals these major events strive to accomplish.

Originality/value

This review marks the first of its kind, offering a thorough and comprehensive synthesis of evidence concerning the legacies of major events for CIDBs.

Details

Equality, Diversity and Inclusion: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-7149

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Article
Publication date: 20 February 2025

Qiuping Nie, Long Ma and Zhifu Li

Despite the rapid development of metaverse industry, the adoption rate of metaverse products is still very low. While prior studies mainly focused on investigating the motivators…

1

Abstract

Purpose

Despite the rapid development of metaverse industry, the adoption rate of metaverse products is still very low. While prior studies mainly focused on investigating the motivators of metaverse adoption, this study explores the barriers affecting consumer intention to use metaverse products, utilizing the framework of innovation resistance theory (IRT).

Design/methodology/approach

Through a survey conducted in China, we examined the effects of variables such as usage barrier, value barrier, risk barrier, tradition barrier, image barrier, as well as the moderating effects of individuals’ innovativeness. Three hundred and seventy seven valid questionnaires were collected and hierarchical regression method was conducted to analyze the data.

Findings

Our findings reveal that usage and value barriers, as well as tradition barrier, significantly negatively influence consumer intention to use metaverse products. However, risk and image barrier do not exhibit a significant impact. Additionally, we discovered that individuals’ innovativeness positively influences consumer intention, indicating that users with higher innovativeness are more inclined to engage with metaverse products. Furthermore, innovativeness acts as a positive moderator, weakening the negative impact of tradition barrier on usage intention.

Originality/value

The study extends IRT by incorporating the role of individual innovativeness, providing a more holistic understanding of the factors that impede the widespread use of metaverse products. The findings are crucial for developing strategies to mitigate the negative influences of potential barriers, ultimately promoting the diffusion of metaverse products.

Details

Online Information Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1468-4527

Keywords

Available. Open Access. Open Access
Article
Publication date: 6 February 2025

Arne Walter, Kamrul Ahsan and Shams Rahman

Demand planning (DP) is a key element of supply chain management (SCM) and is widely regarded as an important catalyst for improving supply chain performance. Regarding the…

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Abstract

Purpose

Demand planning (DP) is a key element of supply chain management (SCM) and is widely regarded as an important catalyst for improving supply chain performance. Regarding the availability of technology to process large amounts of data, artificial intelligence (AI) has received increasing attention in the DP literature in recent years, but there are no reviews of studies on the application of AI in supply chain DP. Given the importance and value of this research area, we aimed to review the current body of knowledge on the application of AI in DP to improve SCM performance.

Design/methodology/approach

Using a systematic literature review approach, we identified 141 peer-reviewed articles and conducted content analysis to examine the body of knowledge on AI in DP in the academic literature published from 2012 to 2023.

Findings

We found that AI in DP is still in its early stages of development. The literature is dominated by modelling studies. We identified three knowledge clusters for AI in DP: AI tools and techniques, AI applications for supply chain functions and the impact of AI on digital SCM. The three knowledge domains are conceptualised in a framework to demonstrate how AI can be deployed in DP to improve SCM performance. However, challenges remain. We identify gaps in the literature that make suggestions for further research in this area.

Originality/value

This study makes a theoretical contribution by identifying the key elements in applying AI in DP for SCM. The proposed conceptual framework can be used to help guide further empirical research and can help companies to implement AI in DP.

Details

The International Journal of Logistics Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 19 April 2024

Yuying Wu, Min Zhang and Zhiqiang Wang

This study empirically investigates the impacts of technological innovation and operational efficiency on environmental performance and the moderating effects of environmental…

255

Abstract

Purpose

This study empirically investigates the impacts of technological innovation and operational efficiency on environmental performance and the moderating effects of environmental orientation.

Design/methodology/approach

We develop a conceptual framework based on the Porter Hypothesis. We collect a sample of 850 listed firms in China between 2010 and 2019. The fixed effect model was used to analyse the data.

Findings

The empirical findings reveal that technological innovation indirectly enhances environmental performance through operational efficiency and partially mediates this impact. We also find that environmental orientation strengthens the positive impacts of technological innovation and operational efficiency on environmental performance.

Originality/value

This study contributes to the literature by revealing that technological innovation is positively associated with operational efficiency and environmental performance, which suggests that technological innovation can simultaneously enhance business and environmental performance. Hence, this study provides empirical support for the Porter Hypothesis. The results also extend the Porter Hypothesis by revealing how technological innovation affects environmental performance and under what conditions technological innovation has a greater impact on environmental performance.

Details

Industrial Management & Data Systems, vol. 124 no. 5
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 31 October 2024

Francesco Cappa, Lorenzo Ardito, Antonio Messeni Petruzzelli and Enzo Peruffo

Advances in information technology and the increasing digitalization of the general public have favored the growth of the sharing economy. The sharing economy is based on…

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Abstract

Purpose

Advances in information technology and the increasing digitalization of the general public have favored the growth of the sharing economy. The sharing economy is based on transactions of idle resources between individuals to satisfy cogent needs. Notwithstanding the great interest in this emerging phenomenon, it is still not clear which factors are driving the shift in consumer consumption behavior from the traditional economy toward this new economic model. Grounded in self-determination theory, we contend that what is needed is a holistic approach that considers the three elements involved in sharing economy transactions, namely (1) consumer motivations, (2) web-based platforms and (3) types of assets exchanged.

Design/methodology/approach

To conduct our study, we used the Flash Eurobarometer 467 database titled “The Use of the Collaborative Economy,” collected by the European Union with Flash Eurobarometer datasets and openly available to the public. Consequently, our study aims to provide results based on a large-scale quantitative analysis involving a large number of individuals and multiple sectors.

Findings

Our findings provide empirical evidence of the positive effects of the shift in consumption behavior toward the sharing economy brought about by (1) consumers’ intrinsic motivations, (2) the quality of the platform and (3) the human asset-based categories of products offered.

Originality/value

This research seeks to advance understanding of the factors that facilitate the adoption of the sharing economy, and we provide managers and policymakers with suggestions regarding the factors they may leverage to further favor the spread of this economic model.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

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