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This study aims to examine the causal relationships among fashion involvement, positive emotion, hedonic consumption tendency, and fashion‐oriented impulse buying in the context of shopping.

A self‐administered questionnaire developed from the literature was administered to 217 college students during a scheduled class. They were enrolled at one metropolitan university in a southwestern state in the USA. A structural equation model using a correlation matrix with maximum likelihood was estimated by LISREL 8.53.

Fashion involvement and positive emotion had positive effects on consumers' fashion‐oriented impulse buying behavior with fashion involvement having the greatest effect. Hedonic consumption tendency was an important mediator in determining fashion‐oriented impulse buying.

This study was limited to college students at one metropolitan university in a southwestern state in the USA and to general fashion products.

Retailers may encourage consumers' positive emotion through strategies such as store design, product displays, package design, and sales. A focus on entertainment, interest, and excitement may be as important as getting the right mix of merchandise and pricing. Other retail strategies might be to stress the relative rationality and non‐economic rewards of impulse buying in advertising efforts; to make impulse purchases more risk free through convenient return policies; and to increase enablers such as offering credit and extending store hours.

Few studies exist for predicting fashion‐oriented impulse buying behavior. This study addresses the need to examine impulse buying behavior related to fashion products.

Shopping online for clothing products is gaining in popularity. This study identified the dimensions of online shopping attributes and predictors of the intention to purchase clothes, jewelry, or accessories based on online shopping attributes and demographic variables. A mailing survey was conducted with 303 adults who had a computer at home and had access to the Internet in the USA. The perceived attributes of online shopping consisted of four factors: transaction/cost; incentive programs; site design; and interactivity. The transaction/cost factor and the incentive programs factor, along with demographic variables (gender, income and number of children), were important predictors in determining the intention to purchase clothing, jewelry, or accessories via the Internet. Incentive program also mediated the relationship between education level and online purchase intention. This study provides managerial implications for the future online marketing of clothing products.

This study sets out to examine the causal relationships among consumers' need for uniqueness, brand perceptions, and purchase intention of a US apparel brand among Japanese Generation Y consumers.

A self‐administered questionnaire was used to collect data from 175 students enrolled at two Japanese metropolitan universities. A structural equation model using correlation matrix with maximum likelihood was estimated using LISREL 8.53.

Japanese consumers' need for uniqueness consisted of avoidance of similarity, unpopular choice and creative choice. The consumers' need for uniqueness was negatively related to the perceived quality, whereas the creative choice was positively related to the emotional value in perceptions of the US apparel brand. The perceived quality decreased purchase intention, while the emotional value increased purchase intention.

This study was limited to students at two Japanese metropolitan universities and to one US apparel brand.

Consumer need for uniqueness may be considered when developing merchandising and marketing strategies for the Generation Y consumer cohort in domestic and international markets. A focus on emotional values can be successful in creating and maintaining a brand relationship with the focal consumer market.

Few, if any, studies exist that investigate Japanese Generation Y consumers' need for uniqueness and its relationship to brand perceptions. This study addresses perception of a foreign brand and purchase intention related to consumers' need for uniqueness.

Individuals’ daily leisure activities undertaken close to home often appear in tourism contexts when individuals are away from home. Previous studies have suggested that such leisure-tourism connection behaviors are enhanced by leisure involvement and leisure habits. However, few studies have examined if such a connection may have variations by life stage and gender. Therefore, this study aims to examine the roles of life stage and gender in consistency between leisure and tourism, in consideration of involvement and habit. The study samples were university graduates (n = 681) who had graduated from a university in the United States and were currently working and university students (n = 706) who were enrolled and taking classes at a university in the United States.

Data were analyzed using descriptive analysis, exploratory factor analysis, t-test, two-way ANOVA and multiple regression analysis.

The findings revealed differences in the effects of leisure involvement and habit factors on the leisure-tourism connection behaviors by life stage and gender. More details are presented in this paper.

This study is the first study to examine the leisure-tourism connection behaviors in consideration of life stage and gender.

The purpose of this paper is to advance the theory and practice of luxury and masstige brand advertising effectiveness by decoding symbolism imbedded in fashion advertising.

This research employs a semiotic analysis of masstige brand advertising to discover those messages and themes that emerge and that communicate masstige values.

The research identifies identitary values that are exclusive to masstige brands, and those they share with luxury brands.

The purpose of this research is not to make generalizations; rather, its purpose is to offer insights into those themes that define luxury and masstige brand identitary values.

The research provides insights into the key identifiers, which may inspire further research and provide marketing insights for the operation management in luxury fashion.

The research contributes to luxury and masstige retail brand research by identifying the symbolic meaning of luxury advertising.

This paper aims to present the trajectory of corporate family-friendly policies (FFPs) in South Korea, as it evolved from an emerging economy to a developed country. The adoption of FFPs by South Korean corporations since the 1960s has been shaped by a dynamic interplay of cultural, political, economic, legal, social and organizational forces. The authors use the example of South Korea to propose a three-stage conceptual model for the adoption of FFPs in emerging economies.

Adopting the institution-based view, the authors explore the theoretical framework for implementing FFPs in corporations in emerging economies. This paper uses South Korea as a case study, reviewing its economic and corporate transitions from the early 1960s through 2023. The authors analyze cultural and macro-level forces, including political, economic, legal and social contexts to understand their impact on the adoption of FFPs.

The adoption of FFPs in South Korea encompassed three historical stages – embryonic, stagnant and leaping. The embryonic stage brought the birth of social interest in a worker-friendly environment, alongside rapid economic growth. In the stagnant stage, economic growth plateaued, resulting in stalled discussions of FFPs. In the leaping stage, economic recovery raised employee expectations, societal demands for FFPs to address ultralow fertility rates intensified and corporations adopted FFPs. All three stages are apparent in an emerging economy that is undergoing rapid growth and industrialization.

There has been scant investigation into the historical adoption of FFPs by emerging economies. The findings enrich the international literature by proposing a developmental model of the adoption of FFPs in emerging economies.

In this paper, the problem of a nonlinear model – specifically the hidden unit conditional random fields (HUCRFs) model, which has binary stochastic hidden units between the data and the labels – exhibiting unstable performance depending on the hyperparameter under consideration.

There are three main optimization search methods for hyperparameter tuning: manual search, grid search and random search. This study shows that HUCRFs’ unstable performance depends on the hyperparameter values used and its performance is based on tuning that draws on grid and random searches. All experiments conducted used the n-gram features – specifically, unigram, bigram, and trigram.

Naturally, selecting a list of hyperparameter values based on a researchers’ experience to find a set in which the best performance is exhibited is better than finding it from a probability distribution. Realistically, however, it is impossible to calculate using the parameters in all combinations. The present research indicates that the random search method has a better performance compared with the grid search method while requiring shorter computation time and a reduced cost.

In this paper, the issues affecting the performance of HUCRF, a nonlinear model with performance that varies depending on the hyperparameters, but performs better than CRF, has been examined.

The purpose of this paper is to demonstrate whether or not public relations efforts in corporate social responsibility (CSR) influence the news media in corporate crisis situations.

The study conducted a content analysis of press releases and news media based on traditional human-coded cross-lag analyses and a machine learning technique, a novel method of big data analysis to test hypotheses.

Results indicate that CSR press releases indeed influenced the news media. During the crisis point, however, agenda-building was not observed.

Corporations need to continue CSR activities and provide public relations materials consistently even after a crisis, as an agenda-building role could be recovered.

The study examines the relationship between CSR and crisis situations in an agenda-building theoretical framework. The authors introduce agenda-building in the corporate sector with machine learning techniques.