Mainstreaming fashion rental consumption: A systematic and thematic review of literature

Jain, Ritu; Jain, Kokil; Behl, Abhishek; Pereira, Vijay; Giudice, Manlio Del; Vrontis, Demetris

doi:10.1016/j.jbusres.2021.10.071

Cited by 52 publications

(66 citation statements)

References 51 publications

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“…In the context of the Omni channel retailing business, both offline search convenience and online purchase convenience influence customers’ showroom behavior ( Shankar et al, 2021 ). In addition, these components of convenience may assist identify motivations, hurdles, personality characteristics, and the influence of culture in consumer adoption, so facilitating the identification of facilitators and inhibitors ( Jain et al, 2022 ). A meta-analysis done by Jayawardena et al (2022) revealed that gamification-based online engagement tactics help merchants increase consumer engagement and participation.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of internet usage on consumer impulsive buying behavior of agriculture products: Moderating role of personality traits and emotional intelligence

et al. 2022

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E-commerce has led to a significant increase in internet purchases. The marketing sector is very competitive these days, and marketers have a difficult task: understanding the behavior of their customers. Strategic marketing planning relies heavily on consumer behavior since the consumer acts as the user, buyer, and payer in that process. Consumers’ behavior changes in response to shifts in the factors that influence it. The purpose of this research is to show how Internet usage influence on consumer impulsive buying behavior of agriculture products through moderating role personality traits and emotional intelligence in China organic market. The data gathered in three months from January to March 2022, due to COVID-19 pandemic data was gathered through an online survey questionnaire sent by Chinese social media platforms including WeChat and an email address. The PLS-SEM technique and the SmartPLS software version 3.2.8 were used for data analyses. The result revealed that internet usage positively and significantly influences consumer impulsive buying behavior. Also, both moderator personality trait and emotional intelligence positively and significantly moderate the relationship between internet usage and consumer impulsive buying behavior. Lastly, theoretical and practical implications, and future directions were discussed.

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Section: Literature Reviewmentioning

confidence: 99%

Impact of internet usage on consumer impulsive buying behavior of agriculture products: Moderating role of personality traits and emotional intelligence

et al. 2022

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“…With the options of omnichannel options, retailers would ideally manage their issues on the level of consumers' product involvement; offering such conveniences helps with regard to customer retention and managing consumers' channel switching behaviours (Shankar et al, 2021). Additionally, such an approach would assist organisations in recognising the main enablers of and inhibitors to adopting (Jain et al, 2022). Additionally, organisations must use an appropriate engagement strategy to improve their involvement.…”

Section: Discussionmentioning

confidence: 99%

“…When looking at the omnichannel retailing industry, both offline search convenience and online purchase convenience have impacts on motivating consumers' showroom behaviour (Shankar et al, 2021). Furthermore, these elements of convenience can also help identify motives, barriers, personality traits, and the role of culture in consumer adoption, which helps one recognise enablers and inhibitors (Jain et al, 2022). A metaanalysis conducted by Jayawardena et al (2022) indicated that online engagement strategies based on gamification assist retailers in improving the engagement of customers and their level of involvement.…”

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confidence: 99%

The impact of digital technology on changing consumer behaviours with special reference to the home furnishing sector in Singapore

Rangaswamy¹,

Nawaz

Changzhuang³

2022

Humanit Soc Sci Commun

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The impact of digital technology has altered consumers’ choices for decades, which has fostered large amounts of eCommerce, including in the home furnishing business. Furthermore, due to the Coronavirus disease (COVID-19) pandemic, consumer behaviours have changed, with consumer satisfaction influencing purchasing initiatives and decision-making online. There is insufficient research on online purchasing behaviours in the home furnishing sector in the context of Singapore. The advent of digitisation and the emergence of marketing through digital platforms compared to offline marketing have changed purchasing behaviours regarding home furnishing in Singapore. Research designs and methods, including realism philosophies, deductive approaches, a quantitative research method, a cross-sectional analysis in a descriptive research design and a questionnaire research instrument, were applied to the current study. The findings show a critical trend: consumers prefer an omnichannel approach when purchasing furniture, thereby enhancing competitive costs and personalisation designs and services. Consumers expect advantages both online and offline to maximise the benefits of their purchasing.

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“…This study attaches importance to the collection of user information and systematical analysis on the development status, impact and future trend of digital fashion in the industry 2021). The systematic literature review (SLR) method and statistical analysis method were used to analyze some text-based information (Jain et al, 2022). The difference with other fashion field related studies is that the research methods used in this study, as well as the perspectives adopted in the analysis on the problem, is the verification of multiplicity.…”

Section: Discussionmentioning

confidence: 99%

Public perceptions of digital fashion: An analysis of sentiment and Latent Dirichlet Allocation topic modeling

2022

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Since digital technology has had a significant impact on the fashion industry, digital fashion has become a hot topic in today’s society. Currently, research on digital fashion is focused on the transformation of enterprise marketing strategies and the discussion of digital technology. Despite this, the current study does not include an analysis of the audience’s emotional and cognitive responses to digital fashion on social networking platforms. A comprehensive analysis and discussion of 52,891 posts about digital fashion and virtual fashion published on social networking sites was conducted using k-means clustering analysis, Latent Dirichlet Allocation (LDA) topic modeling, and sentiment analysis in this study. The study examines the public’s perception and hot topics about digital fashion, as well as the industry’s development situation and trends. According to the findings, both positive and neutral emotions accompany the public’s attitude toward digital fashion. There is a wide range of topics covered in the discussion. Innovations in digital technology have impacted the creation of jobs, talent demand, marketing strategies, profit forms, and industrial chain innovation of fashion-related businesses. Researchers in related fields will find this study useful not only as a reference for research methods and directions, but also as a source of references for research methodology. A case study and data reference will also be provided to industry practitioners.

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Mainstreaming fashion rental consumption: A systematic and thematic review of literature

Cited by 52 publications

References 51 publications

Impact of internet usage on consumer impulsive buying behavior of agriculture products: Moderating role of personality traits and emotional intelligence

Impact of internet usage on consumer impulsive buying behavior of agriculture products: Moderating role of personality traits and emotional intelligence

The impact of digital technology on changing consumer behaviours with special reference to the home furnishing sector in Singapore

Public perceptions of digital fashion: An analysis of sentiment and Latent Dirichlet Allocation topic modeling

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