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Recently, many firms have reshored manufacturing activities back to their home countries to increase customer perceptions of product quality. However, there is no evidence that relocating production to the home country improves customer-perceived quality. This study intends to address this gap by assessing the variations between pre- and post-reshoring product quality, as perceived by domestic customers.

Data were collected through a questionnaire, which used the case of an Italian fashion brand that had reshored its manufacturing from Romania to Italy as the stimulus. Two analyses of the collected data (n = 399) were conducted, applying both 2 × 2 × 2 factorial design and partial least squares–structural equation modelling (PLS–SEM) multigroup analysis.

Reshoring increased the level of perceived product quality only for customers that both were aware of the firm's past offshoring decision and had high levels of affective ethnocentrism. For all other customers, no significant variations between pre- and post-reshoring product quality were observed.

This study challenges previous findings, revealing that only a minor share of customers perceived products to be of higher quality after reshoring.

Increasing customer-perceived quality may not be a sufficient motivation to select the reshoring strategy. In addition, when announcing reshoring strategies, producers should appeal to customers' emotions and not use rational arguments about objective product quality.

This is the first study to assess variations between pre- and post-reshoring customer-perceived quality and to identify factors that explain such variations.

This study aims to examine the co-creation of customer experiences at different levels in service ecosystems, analyzing the case of a tourist destination.

A questionnaire was designed based on previously validated scales. The questionnaire was distributed through the social media platforms Facebook and Instagram. The survey yielded 1,476 valid responses for three types of destinations. Structural equation modeling and multigroup analysis were performed to test the hypotheses.

Aggregate service experience and memorable customer experience (MCE) in service ecosystems are determined by customer experiences at a dyadic level. Service experience at the ecosystem level is formed from ordinary experiences at the actor level, while MCE is formed from extraordinary experiences at the dyadic level. The type of ecosystem moderates the relationships between the variables but does not alter the importance of each of them.

The relationship between the co-creation of customer experiences at different levels of service ecosystems (dyadic vs aggregate) is addressed. A relationship is established between the ordinary and extraordinary character of experiences and their memorability at the ecosystem level.

The purpose of this paper is to investigate if country development indicators, i.e. gross domestic product per capita (GDPPC), literacy rate, internet penetration and urban population, influence the generation of e-waste on a global level. The moderation effect due to differences between countries in terms of absence or presence of e-waste policy and level of development is also checked.

This is an archival study that builds upon data from United Nations (UN), World Bank and Global E-waste Statistics Partnership. The authors did a path analysis comprising mediation and multigroup analyses to decipher the proposed rese arch model containing data from 172 countries.

The results indicate that GDPPC, literacy rate, internet penetration and urban population do not directly influence the generation of e-waste. However, higher internet penetration in developing countries leads to higher e-waste, while higher literacy rates in developed countries suppress e-waste generation. When it comes to e-waste policy, a higher urban population without a regulatory legal framework boosts higher e-waste. The authors observed that higher internet penetration leads to higher e-waste in the presence of e-waste policy as well.

This is the first study to include economic well-being indicators in elaborating e-waste generation, on a global scale. No previous study has observed differences between countries nested in e-waste policy and level of development.

The market for counterfeit goods worldwide has continued to grow significantly over the years, attracting the curiosity of researchers in the marketing field. This study aimed to analyse the influence of price-quality inference and attitudes towards economic rewards of purchasing counterfeit products on the intentions to purchase non-deceptive counterfeit products.

The research adopted a quantitative methodology and utilised the cross-sectional survey method to collect data from a sample of 381 respondents comprising university students. The data was then analysed using the computer software Smart PLS 4.

The results established that the respondents’ price-quality inference of counterfeit products was positively associated with the attitudes towards economic rewards of purchasing counterfeit products and intention to purchase counterfeit products. Furthermore, the study revealed that attitudes towards economic rewards of purchasing counterfeit products partially mediated the influence of price-quality inference on customer intention to acquire non-deceptive counterfeit goods. A multigroup analysis of the proposed relationship did not find any statistically significant differences in the pattern of results concerning the gender groups.

The significance of the study findings is hampered by the singular focus on university students as a reference point for young people’s perceptions of counterfeit goods in South Africa. The study, however, presents verifiable evidence that marketers and brand managers of genuine products may utilise to develop intervention measures to sway young African consumers away from counterfeits and towards genuine brands.

This is one of the few studies in the literature that addresses young adults’ deliberate purchasing of non-deceptive counterfeits in South Africa, an important consumer market in Africa.

This study assesses the capability of artificial intelligence integrated customer relationship management (AI-CRM) technology for sustaining family businesses in times of crisis, such as the COVID-19 pandemic. The study also investigates the moderating role of strategic intent in sustaining family businesses in times of crisis.

The authors used dynamic capability view theory and related literature on family business and technology adoption to develop a conceptual model. This model has been validated using the structural equation modeling technique considering 332 usable responses from people of India involved in family businesses and technology adoption. The study also uses multigroup analysis to examine the moderating role of strategic intent.

The study finds that adoption of AI-CRM technology significantly and positively impacts dynamic capabilities of the family businesses, such as sensing, seizing and transforming capabilities, which in turn positively and significantly influences their sustainability during crises. The study also highlights the significant moderating impact of strategic intent for sustaining family business firms in uncertain times.

This study has highlighted the importance for family businesses to adopt AI-CRM technology and its influence on their dynamic capabilities. The study also provides important inputs to the management of family businesses regarding adoption of new technologies and their significance during crises. The study also documents that strategic intent could help family businesses to survive during such times. The study is conducted in India and thus cannot be generalized.

This study table is unique in that it investigates the influence of AI-CRM technology and the moderating role of strategic intent on family business sustainability in times of crisis. Moreover, the proposed theoretical model is a unique model with explanative power of 71%.

Improving service quality, student satisfaction and student loyalty is important to higher education institutions’ sustainable growth. The objectives of this study are a twofold: first, the study seeks to determine the dimensions of higher education service quality with a specific focus on Vietnam. Second, it examines how the service quality dimensions impact student satisfaction and student loyalty, with the moderating role of the university image.

This study followed a rigorous procedure, including interviews, a survey, exploratory factor analysis (EFA) and reliability analysis to identify higher education service quality dimensions and their measures. After that, using the data obtained from 1,550 university students in Vietnam, confirmatory factor analysis was used to validate the identified dimensions and structural equation modeling was used to test a proposed model explaining the outcomes of higher education service quality.

The findings reveal five dimensions of higher education service quality: academic aspect, nonacademic aspect, programming issues, facilities and industry interaction. Most of these factors have a positive influence on student satisfaction. In addition, the university image moderates the positive relationship between student satisfaction and student loyalty.

This study’s findings highlight the complexity of service quality in the higher education context and encourage higher education institutions to improve their service quality in image to enhance student satisfaction and loyalty.

This study suggests a unique measure of higher education service quality dimensions and provides fresh insights into how they impact student satisfaction and loyalty in Vietnam.

Although few studies indicate that financial concerns matter to social entrepreneurs, the literature is unclear about the extent to which a financial motive affects the intention to start a new social enterprise. Moreover, prior research suggests that the intention to start a new enterprise heavily depends on the societal context in which the enterprise operates. Therefore, this study aims to examine the seminal model of social entrepreneurial intention (SEI) developed by Hockerts (2017) in a different social context; additionally, it proposes a new antecedent of SEI – perceived financial security.

This study used two different measurement scales and samples (n = 436 and 241) in a developing country to validate the model and propose a new antecedent, i.e. the perceived financial security, of SEI. Furthermore, the authors employed the partial least square-structural equation model to test the hypotheses.

The results demonstrate that social entrepreneurial self-efficacy, perceived social support and perceived financial security directly predict SEI; they further mediate the relationship between prior experience and SEI. Consequently, the model by Hockerts is extended.

This study established perceived financial security as a strong antecedent of SEI, thereby offering a novel insight that a social entrepreneur can be motivated by potential financial concerns.

The purpose of this paper is to examine the role that positive emotional experiences play in the generation of electronic word-of-mouth (eWOM) and the influence both variables have, together with customer satisfaction and brand reputation, on customer loyalty in the context of hospitality services.

An online survey has been conducted including customers of an important hotel chain in the holiday up-market segment. The study sample is composed of 878 customers from Germany and the UK. The model has been tested using partial least squares technique.

Results indicate that positive emotional experiences have a positive effect on satisfaction, eWOM generation and company reputation. This study identifies the provision of emotional experiences as a powerful generator of positive eWOM in the hospitality context and it states that customer satisfaction, in itself, does not guarantee positive eWOM generation.

Designing unique, tailor-made, memorable experiences can become a key element to increase loyalty and, particularly, to foster the generation of recommendations, that is positive eWOM, in the hotel industry.

The study makes a contribution on the antecedents of customer satisfaction, eWOM engagement and loyalty in the specific context of hotel services.

Este trabajo analiza el papel que juegan las experiencias emocionales positivas en la generación de eWOM y la influencia que ambas variables, junto con la satisfacción del cliente y la reputación de la marca, ejercen en la lealtad del cliente en el contexto de los servicios hoteleros.

Se ha realizado una encuesta online a los clientes de una importante cadena hotelera de categoría media-alta del segmento vacacional. La muestra estaba compuesta por 878 clientes de Alemania y Reino Unido. El modelo ha sido analizado mediante Mínimos Cuadrados Parciales (PLS).

Los resultados indican que las experiencias emocionales positivas tienen un impacto positivo sobre la satisfacción, la generación de eWOM y la reputación de la empresa. El estudio demuestra que la provisión de experiencias emocionales positivas constituye un poderoso factor generador de eWOM positivo en el contexto de los servicios hoteleros, mientras que la satisfacción del consumidor no garantiza, por sí misma, la generación de eWOM positivo.

El diseño de experiencias únicas y memorables puede convertirse en un elemento clave para aumentar la lealtad y, en particular, fomentar la generación de recomendaciones positivas (eWOM) por parte de los clientes en el contexto de los servicios hoteleros.

Este trabajo realiza una contribución al estudio de los precursores de la satisfacción del cliente, la generación de eWOM y la lealtad en el contexto específico de los servicios hoteleros.

Experiencias emocionales, eWOM, lealtad, satisfacción, reputación, hoteles

Trabajo de investigación

We studied the relationship between job engagement and systematic problem solving (SPS) among shop-floor employees and how lean production (LP) and Internet of Things (IoT) systems moderate this relationship.

We collected data from a sample of 440 shop floor workers in 101 manufacturing work units across 33 plants. Because our data is nested, we employed a series of multilevel regression models to test the hypotheses. The application of IoT systems within work units was evaluated by our research team through direct observations from on-site visits.

Our findings indicate a positive association between job engagement and SPS. Additionally, we found that the adoption of lean bundles positively moderates this relationship, while, surprisingly, the adoption of IoT systems negatively moderates this relationship. Interestingly, we found that, when the adoption of IoT systems is complemented by a lean management system, workers tend to experience a higher effect on the SPS of their engagement.

One limitation of this research is the reliance on the self-reported data collected from both workers (job engagement, SPS and control variables) and supervisors (lean bundles). Furthermore, our study was conducted in a specific country, Italy, which might have limitations on the generalizability of the results since cross-cultural differences in job engagement and SPS have been documented.

Our findings highlight that employees’ strong engagement in SPS behaviors is shaped by the managerial and technological systems implemented on the shop floor. Specifically, we point out that implementing IoT systems without the appropriate managerial practices can pose challenges to fostering employee engagement and SPS.

This paper provides new insights on how lean and new technologies contribute to the development of learning-to-learn capabilities at the individual level by empirically analyzing the moderating effects of IoT systems and LP on the relationship between job engagement and SPS.

The pandemic impacted consumers' shopping processes, leading them to approach the online channel for grocery shopping for the first time. The paper contributes to the retailing literature by identifying different grocery shopper segments willing to switch online moved by heterogeneous motivations. Integrating the technology acceptance model 2 (TAM-2) and the protection motivation theory (PMT), this study identifies technology-related and Covid-related motivations jointly impacting channel switching.

A mixture regression model was estimated on the 370 valid questionnaires, filled out by Italian shoppers, delivering four internally consistent segments.

The results reveal the existence of four segments willing to switch towards the online channel for grocery shopping in the aftermath of the pandemic. Utilitarian shoppers would switch online as they consider the online channel useful and easy to use. Responsive shoppers will prefer the online channel driven by the fear of being infected in-store. Novel enthusiasts show interest in the online channel to not catch the virus and cope with emotional fear, although they consider online shopping as an enjoyable and useful activity as well. Smart shoppers consider online shopping as an easy-to-use alternative for their grocery purchases.

This paper identifies technology-related and Covid-related motivations jointly impacting shoppers' channel switching to online and presents a novel method – i.e. mixture regression – allowing for the identification of shopper segments motivated by different reasons, both emotional and utilitarian, to switch towards the online channel for their grocery shopping. Among other motivations, the fear of Covid-19 is identified as a relevant motivation to switch to online.