How to mitigate fashion subscription hesitation: two-step exploration using theory-based causal modeling and machine learning predictive modeling DOI
Jiyun Kang, Catherine Johnson, Wookjae Heo

и другие.

Journal of Product & Brand Management, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 22, 2024

Purpose Although a fashion subscription offers significant environmental benefits by transforming physical products into shared services, most customers are reluctant to adopt it. This hesitation, exacerbated poor communication from brands that primarily emphasize its personal benefits, hinders sustainable growth. study aims examine specifically which concerns increase and the role of explicitly informing consumers about service’s in mitigating impact consumer on their hesitation. Design/methodology/approach Data were collected through an online experiment with more than thousand U.S. adults nationwide analyzed using two-step analysis. First, theory-based causal modeling was conducted effects accounting for ambivalence as mediator informed moderator. Second, machine learning used cross-validate findings. Findings Results show certain types significantly mediated ambivalence, confirm mitigate some Originality/value contributes building hierarchy theory exploring negatively nuanced constructs – concerns, hesitation beyond traditional representing cognitive, affective conative stages decision-making. provide strategic guidance how communicate new service consumers. Leveraging learning-based predictive provides novel methodological approach explaining predicting toward services.

Язык: Английский

From Crisis to Change: Analyzing the Lasting Influence of COVID-19 on Airbnb Users through Structural Topic Modeling DOI Creative Commons
Kai Ding, Le Li, Rundong Zhang

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Янв. 13, 2025

Abstract A key challenge for the peer-to-peer (P2P) accommodation industry is keeping pace with evolving expectations and behavior of guests over time, shaped by diverse experiences shifting preferences. This study utilizes advanced text analytics to examine lasting impact COVID-19 on Airbnb users’ priorities regarding attributes, both during pandemic in year that followed. Employing a longitudinal research design, we analyze dataset 461,509 reviews from 18,465 listed properties across four major cities different countries (i.e., United Kingdom, States, Spain) known their presence. Our findings highlight most significant enduring guest an increased prioritization health-related features. Although certain attributes were previously valued remain relevant, there has been marked transition user perceptions; specifically, hedonic aesthetic values have diminished importance relative health-centric considerations. Furthermore, policies practices adopted reveal additional dimensions its influence, shaping Noteworthy among these are enhanced booking cancellation flexibility, as well implementation contactless services provision protective equipment. contributes understanding how crises can reshape within context sharing economy accommodations, offering valuable insights academic researchers practitioners.

Язык: Английский

Процитировано

0
Balancing health and work: Fear predicts gig workers' goals and behaviors during COVID‐19 DOI Creative Commons
Jenna A. Van Fossen,

Jo M. Alanis,

Sergio M. Marquez

и другие.

Applied Psychology, Год журнала: 2025, Номер 74(2)

Опубликована: Апрель 1, 2025

Abstract Findings are mixed regarding fear and performance behaviors. Whereas resource‐based theories suggest that impairs performance, perspectives on emotion regulation argue is motivating. It also unclear how independent workers prioritize between potentially competing health work goals. We help reconcile disputes by implicating goal setting for gig workers' effective functioning. studied relationships COVID‐19 fear, preventative goals hour goals, actual behaviors over four weekly surveys with (N = 49) during the summer of 2020. Fear was assessed in a baseline survey, were at Time 1, three days later 2. Supporting predictions, although may prompt greater behaviors, might still undermine these through weakening setting. However, results did not support predictions conflict. Instead, between‐person level, 1 linked to 2 contribute theory relationship motivation, performance. Organizations both crisis.

Язык: Английский

Процитировано

0
Beyond Convenience: Exploring the Hidden Impact of Algorithmic Pricing on Consumer Trust and Loyalty in Chinese Online Travel Agencies DOI
Kuo‐Yan Wang, Jing Yu, Wei J. Chen

и другие.

International Journal of Tourism Research, Год журнала: 2024, Номер 26(5)

Опубликована: Сен. 1, 2024

ABSTRACT The emergence of online travel agencies (OTAs) provides travelers with “one‐stop” convenience, but also faces issues price discrimination. This mixed‐methods study began semi‐structured interviews 30 participants to explore initial perceptions, followed by a survey 307 Chinese consumers. examined attitudes toward OTA overreliance on algorithmic pricing and unclear information, their impact trust loyalty. Findings reveal that during peak seasons, regular customers without value‐added membership services paid higher room rates than new customers. results indicate once is established through clear information quality reliable service, consumers are less wary quotes. conclusion summarizes the findings suggests further research promote transparent fair practices, enhancing consumer

Язык: Английский

Процитировано

0
How to mitigate fashion subscription hesitation: two-step exploration using theory-based causal modeling and machine learning predictive modeling DOI
Jiyun Kang, Catherine Johnson, Wookjae Heo

и другие.

Journal of Product & Brand Management, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 22, 2024

Purpose Although a fashion subscription offers significant environmental benefits by transforming physical products into shared services, most customers are reluctant to adopt it. This hesitation, exacerbated poor communication from brands that primarily emphasize its personal benefits, hinders sustainable growth. study aims examine specifically which concerns increase and the role of explicitly informing consumers about service’s in mitigating impact consumer on their hesitation. Design/methodology/approach Data were collected through an online experiment with more than thousand U.S. adults nationwide analyzed using two-step analysis. First, theory-based causal modeling was conducted effects accounting for ambivalence as mediator informed moderator. Second, machine learning used cross-validate findings. Findings Results show certain types significantly mediated ambivalence, confirm mitigate some Originality/value contributes building hierarchy theory exploring negatively nuanced constructs – concerns, hesitation beyond traditional representing cognitive, affective conative stages decision-making. provide strategic guidance how communicate new service consumers. Leveraging learning-based predictive provides novel methodological approach explaining predicting toward services.

Язык: Английский

Процитировано

0