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Article
Publication date: 13 March 2017

Elsa Nieves-Rodriguez, Myra Mabel Perez-Rivera, Teresa Longobardi and Jose A. Davis-Pellot

Scholars recognize that international marketing effectiveness requires adapting to cultural values, and at the same time, paradoxically, acknowledge the possibility of cultural…

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Abstract

Purpose

Scholars recognize that international marketing effectiveness requires adapting to cultural values, and at the same time, paradoxically, acknowledge the possibility of cultural convergence. The purpose of this paper is to take the context of Puerto Rico as a US territory to reconcile these two propositions by analyzing culture and gender’s influence on apparel purchase.

Design/methodology/approach

Via multiple regression analysis, the study considers seasonality as a factor of apparel purchase patterns, developing a consumer behavior model for the apparel industry.

Findings

Results confirm that culture influences purchase behavior, an influence moderated by gender. Additionally, they show that seasons and special occasions are strong predictors of apparel purchase patterns.

Research limitations/implications

The findings assert the claims of cultural convergence, yet preserve the notion that cultural values are reflected in patterns of consumer behavior in the case of apparel.

Practical implications

The study develops highly explanatory models indicating that Puerto Rico expenditure reflects cultural patterns of special occasions, but overshoots expectations for its US counterpart.

Originality/value

The results show that Puerto Rico has appropriated several US cultural aspects (e.g. special holidays), which are expressed differently as reflected by apparel purchase behavior, supporting the notion that Puerto Rico should be treated as an international market. The study demonstrates that cross-cultural studies may be robust in absence of available Hofstede’s dimensions for a country.

Details

Journal of Fashion Marketing and Management: An International Journal, vol. 21 no. 1
Type: Research Article
ISSN: 1361-2026

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Article
Publication date: 13 May 2019

Alexander Rosado-Serrano, Teresa Longobardi and Justin Paul

The purpose of this paper is to examine whether operating countries influence restaurant franchising system performance and what would be an optimal international franchise…

622

Abstract

Purpose

The purpose of this paper is to examine whether operating countries influence restaurant franchising system performance and what would be an optimal international franchise proportion.

Design/methodology/approach

The authors observed ten publicly traded franchise firms that operated between 1995 and 2015. Data analysis is conducted through a generalized linear model (GLM) of panel data.

Findings

The model confirms a curvilinear U-shaped relationship between international franchise expansion and firm performance, similar to domestic franchising. The authors found that international franchisors have a higher optimal franchise proportion than domestic franchisors. The authors did not find that operating countries influence firm performance.

Originality/value

This study contributes to franchising literature by expanding limited empirical studies on international franchising. It provides practitioners with a new optimal franchise proportion at the international level.

Details

International Journal of Retail & Distribution Management, vol. 47 no. 7
Type: Research Article
ISSN: 0959-0552

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Article
Publication date: 28 February 2023

Md Shamim Hossain and Mst Farjana Rahman

The main goal of this study is to employ unsupervised (lexicon-based) learning approaches to identify readers' emotional dimensions and thumbs-up empathy reactions to reviews of…

449

Abstract

Purpose

The main goal of this study is to employ unsupervised (lexicon-based) learning approaches to identify readers' emotional dimensions and thumbs-up empathy reactions to reviews of online travel agency apps based on appraisal and stimulus–organism–response (SOR) theories.

Design/methodology/approach

Using the Google Play Scraper, we gathered a total of 402,431 reviews from the Google Play Store for two travel agency apps, Tripadvisor and Booking.com. Following the filtering and cleaning of user reviews, we used lexicon-based unsupervised machine learning algorithms to investigate the associations between various emotional dimensions of reviews and review readers' thumbs-up reactions.

Findings

The study's findings reveal that the sentiment of different sorts of reviews has a substantial influence on review readers' emotional experiences, causing them to give the app a thumbs up review. Furthermore, readers' thumbs-up responses to the text reviews differed depending on the eight emotional aspects of the reviews.

Practical implications

The results of this research can be applied in the development of online travel agency apps. The findings suggest that app developers can enhance users' emotional experiences by considering the sentiment and emotional aspects of reviews in their design and implementation. Additionally, the results can be used by travel agencies to improve their online reputation and attract more customers by providing a positive user experience.

Social implications

The findings of this research have the potential to have a significant impact on society by providing insights into the emotional experiences of users when they engage with online travel agency apps. The study highlights the importance of considering the emotional aspect of user reviews, which can help app developers to create more user-friendly and empathetic products.

Originality/value

The current study is the first to evaluate the impact of users' thumbs-up empathetic reactions on user evaluations of online travel agency applications using unsupervised (lexicon-based) learning methodologies.

Details

Journal of Hospitality and Tourism Insights, vol. 7 no. 1
Type: Research Article
ISSN: 2514-9792

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