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Article
Publication date: 15 October 2024

Xinwei Li, Xi Li, Tingyue Kuang, Lulu Cheng and Qi Wu

Geographical Indication (GI) products represent a distinct association between a product and its specific geographic origin. While scholars have acknowledged the impact of GI…

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Abstract

Purpose

Geographical Indication (GI) products represent a distinct association between a product and its specific geographic origin. While scholars have acknowledged the impact of GI products on destination marketing, there exists a dearth of research concerning the underlying mechanism through which the perceived value of GI products influences consumers' intention to visit the region of origin.

Design/methodology/approach

This study utilizes the cognitive appraisal theory as a basis for constructing a conceptual framework to investigate the association between the perceived value of GI products, emotional reactions and destination brand awareness.

Findings

By placing particular emphasis on the diverse impacts of perceived value on tourists' affective responses and travel intentions, the results of this research offer significant contributions to the field of destination marketing.

Originality/value

A deeper understanding of the perceived value of GI products can enable destination marketers to effectively attract prospective tourists and foster a stronger connection between tourists and the regions of origin.

Details

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

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Article
Publication date: 24 February 2025

Han Xu, Xi Li, Jonathan C. Lovett and Lewis T.O. Cheung

This study uses the pleasure–arousal–dominance (PAD) theory to explore how users’ emotional engagement with ChatGPT drives their continued adoption of ChatGPT and word-of-mouth…

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Abstract

Purpose

This study uses the pleasure–arousal–dominance (PAD) theory to explore how users’ emotional engagement with ChatGPT drives their continued adoption of ChatGPT and word-of-mouth (WOM) behaviour in the context of travel-related service.

Design/methodology/approach

This study obtained reliable data from 428 Chinese respondents who used ChatGPT for travel-related purposes. Structural equation modelling was used to test a series of hypotheses based on the PAD framework.

Findings

This study identifies three key features of human–artificial intelligence (AI) interaction, namely, service ubiquity, entertainment and anthropomorphism, which significantly influence users’ emotional responses, including pleasure, arousal and dominance. Dominance and pleasure are found to enhance emotional experiences, driving continued adoption and positive WOM recommendations for ChatGPT, whereas arousal influences WOM but does not affect continued adoption. The results also confirm that users’ perceived pleasure from interacting with ChatGPT has the strongest effect. These findings advance theoretical understanding by clarifying the emotional mechanisms underlying human–AI interactions in the tourism context.

Originality/value

This study examines the emerging trend of tourists’ continuous adoption of ChatGPT for travel-related services. The results highlight how different emotions in human–AI interaction influence long-term use of AI-powered tool for travel-related services.

目的

本研究基于愉悦-兴奋-支配(PAD)理论, 探讨在旅行相关服务中, 用户对 ChatGPT 的情感投入如何推动其持续使用该技术, 并激发口碑行为。

设计/方法/途径

本研究基于428名使用过ChatGPT进行旅游相关服务的中国受访者所提供的可靠数据, 运用结构方程模型(SEM), 结合PAD框架, 对一系列假设进行了验证。

研究结果

本研究确定了用户与人工智能互动的三个关键特征:服务无处不在、娱乐性和拟人化, 这些特征对用户的情感反应(包括愉悦感、兴奋感和主导感)产生了显著影响。研究发现, 主导性和愉悦感增强了用户的情感体验, 推动了对ChatGPT的持续采用和积极的口碑推荐(WOM), 而兴奋感仅影响口碑推荐, 但不影响持续采用。研究结果还证实, 用户在与ChatGPT互动中感知到的愉悦感具有最强的影响力。这些发现阐明了旅游业中人与人工智能互动的情感机制, 推动了相关理论的深入理解。

原创性/价值

本研究探讨了游客持续采用ChatGPT进行旅游相关服务的这一新兴趋势。研究结果突显了在人机交互中, 不同情感如何影响游客对人工智能驱动工具在旅游服务中的长期使用。

Propósito

Propósito: El estudio emplea la teoría del placer-despertar-dominio (PAD) para explorar cómo el compromiso emocional de los usuarios con ChatGPT impulsa su adopción continuada de ChatGPT y el comportamiento boca a boca en el contexto de un servicio relacionado con los viajes.

Diseño/metodología/enfoque

Este estudio recopiló datos fiables de 428 participantes chinos que utilizaron ChatGPT para fines relacionados con viajes. Se empleó el modelado de ecuaciones estructurales para evaluar una serie de hipótesis fundamentadas en el marco PAD.

Resultados

Este estudio identifica tres características clave de la interacción entre humanos e IA: la ubicuidad del servicio, el entretenimiento y el antropomorfismo, que influyen significativamente en las respuestas emocionales de los usuarios, como el placer, la excitación y la dominación. La dominación y el placer mejoran las experiencias emocionales, impulsando la adopción continuada y las recomendaciones boca a boca positivas de ChatGPT, mientras que la excitación solo influye en las recomendaciones boca a boca, sin afectar la adopción continuada. Los resultados también confirman que el placer percibido por los usuarios al interactuar con ChatGPT es el factor con mayor impacto. Estos hallazgos contribuyen a la comprensión teórica al esclarecer los mecanismos emocionales que subyacen en las interacciones entre humanos e IA en el contexto del turismo.

Originalidad/valor

Este estudio analiza la tendencia emergente de la adopción sostenida de ChatGPT por parte de los turistas en el ámbito de los servicios de viaje. Los resultados subrayan cómo las diversas emociones generadas en la interacción humano-IA inciden en el uso prolongado de herramientas basadas en IA para servicios turísticos.

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Article
Publication date: 14 March 2024

Fangfang Hou, Boying Li, Zhengzhi Guan, Alain Yee Loong Chong and Chee Wei Phang

Despite the burgeoning popularity of virtual gifting in live streaming, research lacks an in-depth understanding of the drivers behind this behavior. Using para-social…

925

Abstract

Purpose

Despite the burgeoning popularity of virtual gifting in live streaming, research lacks an in-depth understanding of the drivers behind this behavior. Using para-social relationship (PSR), this study aims to capture viewers’ lively social feelings toward the streamer as the key factor leading to the purchase behavior of virtual gifts. It also aims to establish a theoretical link between PSR and viewers’ holistic experience in live streaming as captured by cognitive absorption and aims to investigates the role of technological features (i.e. viewer–streamer and viewer–viewer interactivity, streamer-level and viewer-level deep profiling and design aesthetics) in shaping viewers’ experience.

Design/methodology/approach

Based on 433 survey responses, this study employs a combination of structural equation modeling and neural networks to offer valuable insights into the relationships between the technological environment, viewer experience and viewer behavior.

Findings

Our results highlight the salience of PSR in promoting the purchase of virtual gifts through cognitive absorption and the importance of the technological environment in eliciting the viewer experience. This study sheds light on the development of PSR in a technological environment and its relationship with cognitive absorption.

Originality/value

By applying PSR to conceptualize viewers’ perceived connection with the streamer, this study extends the research on purchase behavior in the non-shopping context by providing an enlightened understanding of virtual gift purchase behavior in live streaming. Moreover, by theoretically linking PSR with cognitive absorption, virtual gift purchase and technological features of live streaming, it enriches the theory of PSR and bridges the gap between the design practice of supporting the IT infrastructure of live streaming and research.

Details

Internet Research, vol. 34 no. 6
Type: Research Article
ISSN: 1066-2243

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Article
Publication date: 24 May 2024

Xi Luo, Jun-Hwa Cheah, Xin-Jean Lim, T. Ramayah and Yogesh K. Dwivedi

The increasing popularity of live-streaming commerce has provided a new opportunity for e-retailers to boost sales. This study integrated signaling theory and social exchange…

1541

Abstract

Purpose

The increasing popularity of live-streaming commerce has provided a new opportunity for e-retailers to boost sales. This study integrated signaling theory and social exchange theory to investigate how streamer- and product-centered signals influence customers’ likelihood of making an impulsive purchase in the live-streaming commerce context.

Design/methodology/approach

An online survey was designed and distributed to the target respondents in China using purposive sampling. A total of 735 valid responses were analyzed with partial least square structural equation modeling (PLS-SEM).

Findings

Both streamer-centered signals, i.e. streamer credibility and streamer interaction quality, were discovered to significantly influence product-centered signal, i.e. product information quality. Additionally, streamer interaction quality was found to have a significant impact on streamer credibility. Furthermore, it was observed that customer engagement played a significant mediating role in the relationship between product information quality and impulsive buying tendency. Moreover, the paths between product information quality and customer engagement, as well as the connection between engagement and impulsive buying tendency, were found to be moderated by guanxi orientation.

Originality/value

Despite the prevalence of impulsive purchases in live-streaming commerce, few studies have empirically investigated the impact of streamer and product signals on influencing customers’ impulsive purchase decisions. Consequently, to the best of our knowledge, this study distinguishes itself by offering empirical insights into how streamers use reciprocating relationship mechanisms to communicate signals that facilitate impulsive purchase decisions.

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Article
Publication date: 7 June 2023

Ruyue Han, Xingmei Li, Zhong Shen and Dongqing Jia

The consideration of the substitution phenomenon in the project portfolio selection problem can improve the robustness of project portfolio selection and help enterprises better…

219

Abstract

Purpose

The consideration of the substitution phenomenon in the project portfolio selection problem can improve the robustness of project portfolio selection and help enterprises better achieve their strategic objectives. However, the existence of inter-project risk propagation will have a negative impact on project substitution. This paper proposes a new framework for project portfolio selection and constructs a risk propagation model based on strategic objectives to study the impact of risk propagation on substitution in the project portfolio.

Design/methodology/approach

The authors first construct a risk propagation model based on strategic objectives to describe the risk propagation between projects. Then the project substitution phenomenon based on risk propagation is put forward, and the calculation method of substitution loss is given. Finally, a robust project portfolio selection framework based on strategic objectives considering risk propagation is constructed.

Findings

The analysis of a case study demonstrates that (1) With the increase of risk intensity, the strategic loss of the same project portfolio increases linearly, and under the same risk intensity, the more projects in the portfolio, the stronger the robustness. (2) Considering risk propagation, the effect of project substitution is significantly weakened, and the strategic loss rate of the project portfolio is significantly increased compared with that of a direct attack.

Originality/value

This study is the first to take the project substitution into account in the project portfolio selection process. Moreover, the authors describe inter-project risk propagation and analyze the impact of risk propagation on the project substitution phenomenon. Finally, the authors extend the evaluation index of robustness. This paper puts forward a new way to solve the problem of project portfolio selection.

Details

Engineering, Construction and Architectural Management, vol. 31 no. 12
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 21 October 2024

Xueyong Tu and Bin Li

Online portfolio selection sequentially allocates wealth among a set of assets and aims to maximize the investor’s cumulative return in the long run. Various existing algorithms…

75

Abstract

Purpose

Online portfolio selection sequentially allocates wealth among a set of assets and aims to maximize the investor’s cumulative return in the long run. Various existing algorithms in the finance and accounting area adopt an indirect approach to exploit one asset characteristic through the channel of assets’ expected return and thus cannot fully leverage the power of various asset characteristics found in the literature. This study aims to propose new algorithms to overcome this issue to enhance investment performance.

Design/methodology/approach

We propose a parameterized portfolio selection (PPS) framework, which directly incorporates multiple asset characteristics into portfolio weights. This framework can update parameters timely based on final performance without intermediate steps and produce efficient portfolios. We further append L1 regularization to constrain the number of active asset characteristics. Solving the PPS formulation numerically, we design two online portfolio selection (OLPS) algorithms via gradient descent and alternating direction method of multipliers.

Findings

Empirical results on five real market datasets show that the proposed algorithms outperform the state of the arts in cumulative returns, Sharpe ratios, winning ratios, etc. Besides, short-term characteristics are more important than long-term characteristics, and the highest return category is the most important characteristic to improve portfolio performance.

Originality/value

The proposed PPS algorithms are new end-to-end online learning approaches, which directly optimize portfolios by asset characteristics. Such approaches thus differ from existing studies, which first predict returns and then optimize portfolios. This paper provides a new algorithmic framework for investors’ OLPS.

Details

Journal of Accounting Literature, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-4607

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Book part
Publication date: 7 October 2024

Jianping Hong and Jiandong Yi

The inclusion of esports as an official event in the Hangzhou Asian Games is an important step towards the institutionalisation of esports. The significance of this event marks…

Abstract

The inclusion of esports as an official event in the Hangzhou Asian Games is an important step towards the institutionalisation of esports. The significance of this event marks that Asia once again takes a lead in the global esportisation. This chapter investigates a series of history events in the inclusion process of esports into the comprehensive Games in Asia using process sociology and actor network theory (ANT). This study will analyse the type characteristics of esports events in Hangzhou Asian Games, whilst examining how key stakeholders' interact and balance in the network composed of international sports organisations, host of the event, emerging esports organisations and esports game companies. The chapter also examines the functions of global game industrial economic geography, local cultural politics, esports geopolitics and Olympic values in esports sportization, aiming to reveal the implications of esports inclusion in the Asian Games on the debate of whether esports meets the criteria to be classified as a ‘sport’ and its enlightenment of digital strategy to the inclusion esports in the Olympics.

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Expert briefing
Publication date: 9 December 2024

Sher Bahadur Deuba’s Nepali Congress, the main coalition partner of Oli’s Communist Party of Nepal (Unified Marxist-Leninist), said before the trip that Nepal should only accept…

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Article
Publication date: 6 December 2023

Yueyue Liu, Xu Zhang, Meng Xi, Siqi Liu and Xin Meng

For start-ups or growing firms, to effectively navigate the unpredictable nature of digital development and achieve superior innovative performance, it is crucial to have a…

610

Abstract

Purpose

For start-ups or growing firms, to effectively navigate the unpredictable nature of digital development and achieve superior innovative performance, it is crucial to have a workforce comprised of creative and innovative employees. Drawing upon the principles of social information processing theory, this study aims to investigate whether specific combinations of organizational internal and external environments, as well as work characteristics in the digital age, can foster a high level of employee innovative behavior.

Design/methodology/approach

By collecting a multilevel and multisource data set comprising 693 employees and 88 CEOs from 88 start-ups or growing firms, this study used fuzzy-set qualitative comparative analysis to examine the distinctive configurations associated with achieving a high level of employee innovative behavior.

Findings

The study found that six solutions enabled employees to innovate more effectively, but six solutions led to the absence of employee innovative behavior.

Research limitations/implications

The findings of this study offer important theoretical and practical implications to motivate employee innovative behavior in Chinese enterprises.

Originality/value

First, this study contributes to the literature on employee innovative behavior by addressing the need to explore the impact of the digital context on promoting innovation among employees. Second, this study adds to the existing literature on employee innovation and entrepreneurship by examining multiple organizational contexts and their influence on innovative behavior. Third, this study makes a significant contribution to the field of employee innovative behavior by examining the macroenvironment surrounding digital transformation within enterprises and integrating both internal and external organizational factors.

Details

Chinese Management Studies, vol. 18 no. 5
Type: Research Article
ISSN: 1750-614X

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Article
Publication date: 12 November 2024

Zhucheng Shao

This study aims to explore how social status recognition, perceived value and immersive enjoyment drive attachment to influencers and endorsements, thus triggering consumers’…

169

Abstract

Purpose

This study aims to explore how social status recognition, perceived value and immersive enjoyment drive attachment to influencers and endorsements, thus triggering consumers’ hedonic buying towards influencer endorsements in social media.

Design/methodology/approach

By following a purposive sampling strategy and collecting cross-sectional data from 379 valid responses in the UK, this study adopts structural equation modelling, artificial neural networks and fuzzy set qualitative comparative analysis (SEM-ANN-fsQCA) as integrated methods for analysis.

Findings

This study reveals that social status recognition, immersive enjoyment, gamified incentives, attachment to influencers and endorsements are critical antecedents that drive hedonic buying.

Originality/value

In knowledge, this study concurrently adopts the perceived value theory and attachment theory that can enrich the inner elements and reveal the underlying connections under the theories. In method, the integrated analytical approach can explore deeper and more convincing results without the limitations of a single approach. In practice, this study helps practitioners ascertain customer perceptions of influencer endorsements and their attachment in the context of buying hedonically, thus developing effective strategies for employing influencers and marketing strategies to foster consumers’ hedonic buying behaviours.

Details

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

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