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1 – 10 of over 2000
Article
Publication date: 1 March 2024

Wei-Zhen Wang, Hong-Mei Xiao and Yuan Fang

Nowadays, artificial intelligence (AI) technology has demonstrated extensive applications in the field of art design. Attribute editing is an important means to realize clothing…

Abstract

Purpose

Nowadays, artificial intelligence (AI) technology has demonstrated extensive applications in the field of art design. Attribute editing is an important means to realize clothing style and color design via computer language, which aims to edit and control the garment image based on the specified target attributes while preserving other details from the original image. The current image attribute editing model often generates images containing missing or redundant attributes. To address the problem, this paper aims for a novel design method utilizing the Fashion-attribute generative adversarial network (AttGAN) model was proposed for image attribute editing specifically tailored to women’s blouses.

Design/methodology/approach

The proposed design method primarily focuses on optimizing the feature extraction network and loss function. To enhance the feature extraction capability of the model, an increase in the number of layers in the feature extraction network was implemented, and the structure similarity index measure (SSIM) loss function was employed to ensure the independent attributes of the original image were consistent. The characteristic-preserving virtual try-on network (CP_VTON) dataset was used for train-ing to enable the editing of sleeve length and color specifically for women’s blouse.

Findings

The experimental results demonstrate that the optimization model’s generated outputs have significantly reduced problems related to missing attributes or visual redundancy. Through a comparative analysis of the numerical changes in the SSIM and peak signal-to-noise ratio (PSNR) before and after the model refinement, it was observed that the improved SSIM increased substantially by 27.4%, and the PSNR increased by 2.8%, serving as empirical evidence of the effectiveness of incorporating the SSIM loss function.

Originality/value

The proposed algorithm provides a promising tool for precise image editing of women’s blouses based on the GAN. This introduces a new approach to eliminate semantic expression errors in image editing, thereby contributing to the development of AI in clothing design.

Details

International Journal of Clothing Science and Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0955-6222

Keywords

Article
Publication date: 22 February 2024

Kavita Srivastava and Divyanshi Pal

The study’s objective is to measure the importance consumers attach to AI-based attributes, namely, chatbots, face recognition, virtual fitting room, smart parking and…

Abstract

Purpose

The study’s objective is to measure the importance consumers attach to AI-based attributes, namely, chatbots, face recognition, virtual fitting room, smart parking and cashier-free station in retail stores. The study also examines the specific purpose of using these attributes for shopping.

Design/methodology/approach

A conjoint experiment was conducted using fractional factorial design. Consumers were given 14 profiles (AI attributes and its levels) to rank according to their visiting preferences.

Findings

The results revealed that the retail chatbot was considered the most important attribute, followed by face recognition, virtual fitting room, smart parking system and cashier-free station. Moreover, consumers prefer to use chatbots for in-store shopping assistance over alerts and updates, customer support and feedback. Similarly, consumers wish a face recognition facility for greetings while entering the store over other services. In addition, cluster analyses revealed that customer groups significantly differ in their preferences for AI-based attributes.

Practical implications

The study guides retail managers to invest in AI technologies to provide consumers with a technology-oriented shopping experience.

Originality/value

Our results provide an insight into the receptivity of AI technologies that consumers would like to experience in their favorite retail stores. The present study contributes to the literature by investigating consumer preferences for various AI technologies and their specific uses for shopping.

Details

International Journal of Retail & Distribution Management, vol. 52 no. 3
Type: Research Article
ISSN: 0959-0552

Keywords

Article
Publication date: 27 March 2024

Khan Md. Raziuddin Taufique, Md. Mahiuddin Sabbir, Sarah Quinton and Syed Saad Andaleeb

Acknowledging previous scholarly focus on functional attributes in understanding technology acceptance behaviour, the current study aims to offer a novel perspective by…

Abstract

Purpose

Acknowledging previous scholarly focus on functional attributes in understanding technology acceptance behaviour, the current study aims to offer a novel perspective by integrating eight different dimensions of utilitarian and hedonic attributes to examine their influence in delivering a holistic web-based retail shopping experience.

Design/methodology/approach

The research model was tested and validated through data collected from 370 online shoppers across both hedonic and utilitarian product ranges. Hypotheses were tested using covariance-based structural equation modelling with multi-group analysis to examine the moderation effect.

Findings

The findings strongly support the model confirming eight new utilitarian and hedonic dimensions that influence web-based retail shopping behaviour. The findings also confirm that hedonic attributes remain important even for utilitarian product purchasing.

Practical implications

The key managerial implication is the demonstrated need to balance utilitarian and hedonic attributes in web-based retail platforms, where previously, there has been an overemphasis on functional features. Web-based retailers should consider the optimal blend of utilitarian (e.g. information quality) and hedonic (e.g. aesthetic) attributes in the design of a retail shopping site, irrespective of the product category.

Originality/value

This study integrates multiple dimensions of utilitarian and hedonic attributes into a single model and highlights the interplay of these attributes, thus extending the technology acceptance model. This paper also advances scholarship through its identification of attribute impact across different product categories.

Details

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

Keywords

Article
Publication date: 28 February 2023

Shixuan Fu, Xusen Cheng, Anil Bilgihan and Fevzi Okumus

Images and caption descriptions serve as important visual stimuli that influence consumer preferences; therefore, the current study focuses on property images and captions…

Abstract

Purpose

Images and caption descriptions serve as important visual stimuli that influence consumer preferences; therefore, the current study focuses on property images and captions illustrated on the home pages of accommodation-sharing platforms. Specifically, this study investigates the relative importance of hue, brightness and saturation of a property image and caption description styles on potential consumers’ preferences.

Design/methodology/approach

A mixed-method approach was used, and a total of 293 valid responses were collected through a discrete choice experiment approach. Interviews were conducted for additional analyses to explore the detailed explanations.

Findings

The utility model demonstrated that the image’s saturation was the most critical attribute perceived by the respondents, followed by caption description style, hue and brightness.

Originality/value

This is one of the first studies to investigate the display of attributes on a digital accommodation platform by exploring potential customers’ stated preferences. This study focuses explicitly on images and captions illustrated on the home page of an accommodation booking platform. Detailed image investigation is also a new research area in sharing economy-related research.

Details

Internet Research, vol. 34 no. 2
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 11 July 2023

Richard T.R. Qiu, Brian E.M. King, Mei Fung Candy Tang and Tina P. Fan

This study aims to progress scholarly understanding of the staycation phenomenon by examining customer segments and documenting local customers’ attribute preferences.

Abstract

Purpose

This study aims to progress scholarly understanding of the staycation phenomenon by examining customer segments and documenting local customers’ attribute preferences.

Design/methodology/approach

A stated choice experiment is used to examine customer preferences for staycation package attributes. Latent class discrete choice modeling is deployed to classify customers into market segments based on their preferences. The profile of each segment is enhanced by documenting customer characteristics and consumption styles.

Findings

Six prominent market segments are identified using a combination of sociodemographics, consumption styles and staycation attribute preferences. The findings draw on consumer experiences during the COVID-19 pandemic to generate theoretical insights into preferred staycation packages. Empirically, the estimation results from the research framework and choice experimental method demonstrate that staycation market segments exhibit distinct preference structures.

Research limitations/implications

Practitioners and policymakers can incorporate the findings of this study in designing and/or assessing staycation packages. This can ensure differentiated products for defined segments that resonate within local communities through positive word of mouth, thus offering prospective spillovers to visiting friends and relatives.

Originality/value

This is a pioneering study on preference heterogeneity from the customer perspective, with a focus on staycation markets. The findings can encourage and assist hotel sector leaders to capitalize on local market developments to achieve a more resilient hospitality business model.

Details

International Journal of Contemporary Hospitality Management, vol. 36 no. 4
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 11 March 2024

Inge Birkbak Larsen and Helle Neergaard

This research presents and evaluates a method for assessing the entrepreneurial mindset (EM) of students in higher education.

Abstract

Purpose

This research presents and evaluates a method for assessing the entrepreneurial mindset (EM) of students in higher education.

Design/methodology/approach

The research considers EM a multi-variable psychological construct, which can be broken down into several conceptual sub-categories. Using data from a master course in entrepreneurship, the authors show how these categories can be applied to analyze students’ written reflections to identify linguistic markers of EM.

Findings

The research reports three main findings: analyzing student reflections is an appropriate method to explore the state and development of students’ EM; the theoretically-derived EM categories can be nuanced and extended with insight from contextualized empirical insights; and student reflections reveal counter-EM categories that represent challenges in the educator’s endeavor to foster students’ EM.

Research limitations/implications

The commitment of resources to researching EM requires the dedication of efforts to develop methods for assessing the state and development of students’ EM. The framework can be applied to enhance the theoretical rigor and methodological transparency of studies of EM in entrepreneurship education.

Practical implications

The framework can be of value to educators who currently struggle to assess if and how their educational design fosters EM attributes.

Originality/value

This inquiry contributes to the critical research discussion about how to operationalize EM in entrepreneurship education studies. The operationalization of a psychological concept such as EM is highly important because a research focus cannot be maintained on something that cannot be studied in a meaningful way.

Details

International Journal of Entrepreneurial Behavior & Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-2554

Keywords

Article
Publication date: 7 September 2023

Yu Zhang, Yafen Yuan and Jiafu Su

This study explores the factors that characterize the logistics service quality (LSQ) of cross-border e-commerce and identifies the different relationships between these factors…

Abstract

Purpose

This study explores the factors that characterize the logistics service quality (LSQ) of cross-border e-commerce and identifies the different relationships between these factors with respect to customer satisfaction.

Design/methodology/approach

The study applied a two-stage mixed-methods design. The first stage (Stage 1) was a qualitative study of 3,000 reviews from the Amazon China e-commerce platform. The second stage (Stage 2) included a quantitative study that analyzed survey data from 590 Chinese cross-border e-commerce customers using the Kano model.

Findings

Stage 1 involved developing a conceptual framework for the LSQ of cross-border e-commerce, including six dimensions: timeliness, safety, reliability, economy, personnel contact quality and information quality. In Stage 2, the study found that only reliability and personnel contact quality indicators are linearly related to customer satisfaction. Timeliness and the safety of packaging greatly contribute to customer satisfaction, but do not cause dissatisfaction when unfulfilled. Economics and information quality indicators, and the safety of goods, are basic requirements that tend to provoke customer dissatisfaction when unmet, but do not increase customer satisfaction when they are met.

Originality/value

This study is one of the first to construct a conceptual model of LSQ that applies to cross-border e-commerce and to identify the instrumental nature of various LSQ attributes and their impact on improved customer satisfaction.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 36 no. 3
Type: Research Article
ISSN: 1355-5855

Keywords

Book part
Publication date: 4 March 2024

Miriam Mota, Bernardete Sequeira, Manuela Guerreiro and Patrícia Pinto

Although tourism destination image is a widely studied subject, the perspective of local players is generally neglected, albeit its relevance for informing the positioning and…

Abstract

Although tourism destination image is a widely studied subject, the perspective of local players is generally neglected, albeit its relevance for informing the positioning and brand management strategies of the places is recognized. This chapter aims to determine the perceptions of key local public organizations from the historical-cultural and heritage sectors and companies linked to commerce and tourism (private sector) about the historic center of a United Nations Educational, Scientific, and Cultural Organization (UNESCO) World Heritage site in Brazil. The results of this investigation contribute to the development of marketing and tourism development strategies in historic towns, especially those classified as World Heritage by UNESCO.

Details

Managing Destinations
Type: Book
ISBN: 978-1-83797-176-3

Keywords

Article
Publication date: 26 March 2024

Aastha Kathuria and Apurva Bakshi

Online impulsive purchasing is growing exponentially, and website-related factors play a substantial role in this phenomenon. This study provides a comprehensive and integrative…

Abstract

Purpose

Online impulsive purchasing is growing exponentially, and website-related factors play a substantial role in this phenomenon. This study provides a comprehensive and integrative framework encompassing a variety of website-related factors influencing impulsive purchase behaviour.

Design/methodology/approach

The study is a systematic literature review, which includes literature search from two prominent databases. This article consolidates the results of 60 relevant research papers, and thematic analysis is performed on various website-related aspects classified into five research topics.

Findings

The different website qualities have been classified into broad themes and their role in online impulse buying has been explored. The antecedents, moderators, mediators, and outcomes are portrayed in an integrated research framework. Possible research gaps have been identified, and a future research agenda has been proposed, representing potential research areas.

Research limitations/implications

As we have included only studies published in the English language, this review may be limited by language bias. Relevant research published in other languages might have been excluded.

Practical implications

This literature review may provide management insights to marketers and practitioners managing online retail websites. To sustain an online business in the long term, it is critical for online retailers to have a thorough understanding of all conceivable website stimuli and develop them in a way that compels consumers to make impulsive purchases.

Originality/value

This study represents an original contribution to the realm of systematic literature reviews. To the best of our knowledge, this is the first SLR that elaborately delineates the influence of website-related factors on online impulse buying behaviour.

Details

Marketing Intelligence & Planning, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0263-4503

Keywords

Article
Publication date: 15 February 2024

Khai Trieu Tran, Anh Tran Tram Truong, Van-Anh T. Truong and Tuan Trong Luu

This study aims to answer the following questions: How do consumers’ perceptions of brand coolness affect brand relationship outcomes and how do brand coolness effects differ…

Abstract

Purpose

This study aims to answer the following questions: How do consumers’ perceptions of brand coolness affect brand relationship outcomes and how do brand coolness effects differ between product brands and service brands?

Design/methodology/approach

A quantitative survey was used to collect data from 1,500 consumers assigned to assess one of 20 popular product and service brands in Vietnam. Partial least square structural equation modeling was used to analyze the data.

Findings

Data analysis reveals that both dimensions of brand coolness (i.e. self-oriented and other-oriented coolness) exert positive impacts on brand relationship outcomes (i.e. brand satisfaction, brand love and brand advocacy) through brand attitude (i.e. the evaluative mechanism) and self-brand connection (i.e. the identity mechanism). While the identity mechanism of brand coolness effects is more prominent in product brands, the evaluative mechanism is more pronounced for service brands.

Practical implications

This research provides practical guidance for brand managers to build strong customer relationships by leveraging their brand coolness and the mechanisms underlying coolness effects. This study suggests a tailored application of brand coolness dimensions to different branded entities.

Originality/value

This research contributes to the brand coolness literature by validating a two-dimensional brand coolness structure encompassing self-oriented and other-oriented coolness, in accordance with a value-based conceptualization of the concept. For mass brand studies, this study recommends the exclusion of rebellious and subcultural attributes, as well as the utility of pre-determined brands as evaluated objects, in measuring brand coolness. This study also illuminates dual mediation mechanisms and moderation of the branded entity underlying brand coolness effects on consumer–brand relationships.

Details

Journal of Product & Brand Management, vol. 33 no. 2
Type: Research Article
ISSN: 1061-0421

Keywords

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