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The primary purpose of this study is to examine the relationship between conumers' emotional attachment towards fashion apps and positive behavioral outcomes, such as e-WoM and repurchase intention. The study also aims to explore how e-servicescape, customer experience and perceived value of online shopping influence this relationships.

The study has used quantitative research methods to collect data from a sample of 484 consumers who had previous experience of purchasing using fashion apps. Data were collected from university students enrolled in university in Gujarat, India using an online self-administered questionnaire. The data are analyzed using structure equation modeling to determine the relationships between the variables under investigation.

The results demonstrate relationships between e-servicescape, customer experience and perceived value of online shopping, emotional attachment and the two consumer outcomes: repurchase intention and e-WoM. The study found support for hypotheses 1, 2 and 3, highlighting the influence of e-servicescape, customer experience and perceived value of online shopping in developing emotional attachment with fashion apps. The study also confirmed hypotheses 5 and 6, which suggest that consumers who have a stronger emotional attachment to fashion apps are more likely to intend to repurchase fashion products and engage in positive electronic word-of-mouth behavior for fashion brands.

In today's digital age, fashion apps are vital for fashion retailers to remain competitive and offer their customers a smooth and immersive shopping experience . Given the potential impact of fashion apps on the customer behavior, it is essential to investigate the relationship relationships between e-servicescape, customer experience and perceived value of online shopping, emotional attachment and the two consumer outcomes: repurchase intention and e-WoM in the context of fashion apps. The findings of the study are expected to contribute to the understanding of consumer behavior in the context of fashion apps and e-commerce more broadly. The results may also provide insights into how fashion retailers can improve their online presence and customer experiences to increase emotional attachment and positive behavioral outcomes.

The results of this study have several implications for online retail managers and fashion app developers. The study provides strong support for the idea that the extent to which online customers feel emotionally attached to fashion apps is strongly related to their e-WoM and repurchase intention. Moreover, the results of the study suggest that online retailers who are looking to cultivate emotional connections with consumers through fashion apps should prioritize three key areas: e-servicescape, customer experience and perceived value of online shopping.

The purpose of this paper is to explore the motivations of consumers engage with fashion retail applications (apps) from a consumer motivation perspective to inform the design for fashion retail apps. This is an area with increasing economic significance, yet of limited academic research to date.

Through 18 in-depth qualitative interviews, utilitarian stimuli was identified as primary motivating factor to attract customers to shop for fashion garments through m-commerce retail apps.

Results from thematic analysis identified that the utilitarian elements of “efficiency” and “convenience” were two of the most important motivators for engagement, with “personalized services”, and “convenient operation process” also dominant functions to attract customers to shop on m-commerce retail apps. While “Social” shopping was shown to be a motivating factor for consumer behaviour, participants showed greater preference to interpersonal communications channels than to social media.

Findings from this study reveal the utilitarian focus of fashion retail apps within an industry often focussed on experiential interactions, and provide a focus for fashion retail m-commerce app designers to tailor their products for higher consumer engagement. Future apps should be designed specifically with this in mind to increase the chance of consumer engagement.

This paper provides original insight into the hedonic and utilitarian value motivations most prevalent to users of m-commerce fashion retail apps. This is distinct from previous research that has focussed on physical retail environments or general e-commerce interactions (e.g. non-fashion web stores accessed through a PC/laptop).

The purpose of the study was to identify (1) whether aspects of expectancy-value judgments (EVJ) of uses and gratifications, such as novelty, fashion/status, sociability and relaxation, influenced trust in augmented reality (AR) apps; (2) whether trust in AR apps influenced usage intention toward AR apps and online/offline store patronage intention and (3) the moderating effect of consumer self-determination.

Mobile users (n = 630) were drawn from a USA market research company. The proposed model was tested by structural equation modeling with maximum likelihood estimation.

The study found that trust in AR apps was a determinant of usage intention toward AR apps and online/offline store patronage intention. Novelty and fashion/status for EVJs of uses and gratifications affected trust in AR apps. Sociability for EVJs of uses and gratifications negatively affected trust in AR apps. Users' self-determination moderated the influence of users' trust in AR apps on usage intention toward AR apps and online/offline store patronage intention.

First, the study elaborates on the impacts of the underlying aspects of an EVJ model of uses and gratifications regarding AR apps on trust in AR apps and EVJ model's influence on usage intention toward AR apps and online/offline store patronage intention. Second, the results of the study suggest useful strategies involved in the development of consumer-driven AR apps that satisfy users' needs and desires.

Whilst some may argue that e‐commerce design literature can be applied to the designing of mobile commerce channels, it is an assumption that may come at the expense of the retailer. The purpose of this paper is to identify which marketing design elements could be integrated within a retailer's mobile strategy and suggest the importance of empirical testing. An academic or practitioner must primarily understand the abundance of marketing tools that can be integrated into a mobile strategy before they can begin to investigate the consumer effects.

A literature review of online and mobile design elements is undertaken, in order to develop and illustrate a holistic framework of stimuli for commercial and academic appreciation. Although literature regarding the variety of marketing design elements online is profuse, a holistic framework currently does not exist, an absence that this paper fulfils.

The paper collates and identifies 18 individual marketing design stimuli classified within four stimulus categories relating to their purpose and form.

Literature concerning e‐commerce design and strategy is currently prevalent; however, due to the immaturity of mobile commerce, literature is deficient concerning the strategic design and implications of mobile applications. Although £68.2 billion was spent online in 2011, mobile commerce sales represented less than 5 per cent, highlighting an immediate requirement for research into how such sales could be improved.

Entrepreneurship, innovation, marketing and strategy.

Master’s, postgraduate and executive level programs.

The fashion industry has evolved over the generations. Fashion is what defines any person. Your style and quotient statement gives you an edge. In a world which is getting smaller and smaller with evolving mobile and computer technology connectivity, there has been a rise in new startups in personalized fashion. This sector of personal styling has seen an investment of over US$220m in the past two years. Social media is connecting billions of people around the globe. Roposo is the brand of Relevant E-solutions and was launched in 2012. It is the brainchild idea of Avinash Saxena, Kaushal Shubhank and Mayank Bhangadia. It has created a buzz in the fashion and social media industry. This case illustrates the connective power of social media and personalized fashion. Roposo has over 2 million active users which includes a number of Bollywood stars. These users are creating their own stories related to styling and fashion tips and inspiring millions worldwide. The case explores the journey of how Roposo has changed the style statement of millions of people.

The expected learning outcomes are as follows: to identify the new business opportunity in the fashion industry with the use of a social media platform; to understand the evolution of fashion with the boom in social media and mobile communications; to learn how the brand grows and how celebrities are also motivated to be a part of it to connect to their fans for free; to provide inspiration for students to start up an entrepreneurial venture; to find out how the use of recommendation engines should be done to keep users engaged; and to discuss threats of competitors.

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CSS 3: Entrepreneurship.

We propose a machine learning based methodology to deal with data collected from a mobile application asking users their opinion regarding fashion products. Based on different machine learning techniques, the proposed approach relies on the data value chain principle to enrich data into knowledge, insights and learning experience.

Online interaction and the usage of social media have dramatically altered both consumers’ behaviors and business practices. Companies invest in social media platforms and digital marketing in order to increase their brand awareness and boost their sales. Especially for fashion retailers, understanding consumers’ behavior before launching a new collection is crucial to reduce overstock situations. In this study, we aim at providing retailers better understand consumers’ different assessments of newly introduced products.

By creating new product-related and user-related attributes, the proposed prediction model attends an average of 70.15% accuracy when evaluating the potential success of new future products during the design process of the collection. Results showed that by harnessing artificial intelligence techniques, along with social media data and mobile apps, new ways of interacting with clients and understanding their preferences are established.

From a practical point of view, the proposed approach helps businesses better target their marketing campaigns, localize their potential clients and adjust manufactured quantities.

The originality of the proposed approach lies in (1) the implementation of the data value chain principle to enhance the information of raw data collected from mobile apps and improve the prediction model performances, and (2) the combination consumer and product attributes to provide an accurate prediction of new fashion, products.

The purpose of this study is to investigate the influence of augmented reality (AR) media characteristics on consumers’ purchase intention (PI) for fashion goods within the fashion industry context.

This study establishes five independent variables of salient AR media characteristics derived from existing studies which includes interactivity, vividness, augmentation, simulated physical control and environmental embedding. A quantitative online survey method is conducted with a sample of 172 respondents.

The findings suggest that all five AR media characteristics have a positive and significant influence on consumers’ PI for fashion goods. Among these five characteristics, interactivity and simulated physical control have the strongest positive impact on PI, followed by vividness, environmental embedding and augmentation.

This study provides valuable insights for fashion brands to better understand the media characteristics that consumers may be looking out for in AR experiences that could have an influence on their PI for fashion goods. This study also contributes to the literature by identifying the most influential AR media characteristics in the context of the fashion industry.

Shopping apps are a highly relevant channel and an increasingly important part of omni-channel retailing, as they strengthen the customer relationship. This study analyses the possibilities available to retailers to encourage consumers to download a shopping app and use it in the long-term.

The study uses a scenario-based online experiment with a 2 × 2 × 2 between-subjects design and data from 332 participants. A second online experiment with a 2 × 3 between-subjects design and data from 200 participants supplements the main experiment. The data obtained from these experiments were analysed using M/ANCOVA and PROCESS.

Findings suggest that a rebate (monetary incentive) increases the download intention. Online and in-store app features (non-monetary incentives) do also have positive impacts on the use intention, though the in-store feature only works when it is offered in combination with the online feature. The relationships are mediated by the perceived usefulness of the shopping app. Moreover, the non-monetary features interact with the channel preference of the consumers, who react more positively towards features offered in a non-preferred channel. A supplementary study supports this finding.

This research is novel as it analyses the impact of monetary (rebate) and non-monetary (online and in-store features) incentives on both the download and use intention of a shopping app separately. Further, it contributes to research on the topic by examining which features consumers perceive as useful. Finally, the study considers the omni-channel environment regarding consumers’ channel preference.

The purpose of this paper is to determine the influence of mobile design features on consumers' mobile app stickiness intentions, as mediated by users' emotional response (pleasure, arousal and dominance).

Using the stimulus–organism–response model, this study employed conditional process modelling to investigate the influence of three categories of mobile design features on users' stickiness intentions. The emotional responses of pleasure–arousal–dominance were investigated for their mediating effect. The participants included women aged 18–36.

Design features provided consumer-led interactions’ influence on emotional responses of pleasure, arousal and dominance. Mobile design features were not a significant predictor of stickiness intentions. Arousal was a significant mediator of mobile design features on stickiness intentions, whereas dominance had no mediating effects.

This paper extends the growing research on mobile applications by investigating design features using Magrath and McCormick's (2013) mobile marketing design framework. This paper also adds to the body of knowledge on stickiness within a mobile context.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Smartphone-user figures worldwide are approaching the two billion mark. Yet there has been little research into the way the design of mobile applications might affect the behavior of consumers. This piece redresses the balance, identifying key branding design elements while also indicating possible directions for further research into the subject.

The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.