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This paper aims to examine the effect of employees’ emotional labor on work engagement and boundary-spanner creativity based on the job demands-resources model from the perspective of salespeople.

To analyze the data, a confirmatory factor analysis and structural equation modeling procedure using LISREL 8.5 were used. Next, the conditional process modeling was fitted to test the moderated mediation hypotheses.

The analysis results showed that deep acting has a positive effect on work engagement, whereas surface acting has a negative effect, indicating that work engagement of sales representatives is differently related to each factor of emotional labor. Second, work engagement of salespeople has a positive effect on boundary spanner creativity. Next, entrepreneurship has a moderate effect in the relationship between emotional labor and work engagement with customer stewardship and has a positive moderating effect in the relationship between work engagement and boundary spanner creativity.

Considering the positive effect of boundary spanner creativity on work engagement, it is important to maintain interaction with customers, including adaptive behaviors and customer orientation, as customers’ demand increases. The individual competence and capability of salespeople such as entrepreneurship are directly related to interaction with customers, so when the right strategy is defined for each type of entrepreneurship of salespeople, it will create a positive corporate culture and lead to performance improvement.

Compared with most studies, more direct factors of emotional labor were assessed to detect positive effects in this study. More specifically, when salespeople were forced to fake their feelings, they were more likely to recognize stress or burnout due to emotional dissonance between what they really felt and what they had to express to comply with organizational regulations.

A variety of collaborative technologies have been developed to support design communication among members of design teams, and understanding the affordances of these technologies is critical to effective design collaboration. This research explores the potential of social networking as a collective medium that encourages design communication among student designers at the conceptual stage of design in a studio course.

For one semester, the student participants used different social networking services to communicate with their team members, and the authors analysed how they collaborated when solving a given problem using the collaborative tools.

The results show that various social networking platforms support students' communication of design and exploration of problems differently by affecting their clarification of ideas and information sharing. Collective discussion and online support are useful for framing problems and ideation in collaborative design.

This research proposes that social networking services appropriate to the activities needed to be chosen and provided to enable design communication to promote students' active learning through team collaboration.

Smart factory is the most important feature of the fourth industrial revolution in the manufacturing field. In this paper, we introduce smart factory solutions suggested by the major solution providers. Furthermore, we classify solutions by the category of three value-chain activities: product development activity, product manufacturing activity, and sales activity. In addition, the status-of-art and best practices of the smart factory solutions are introduced. To examine the current trends of smart factories, we classified the manufacturing industries into four groups based on two factors: product variety and production volumes, and suggest directions for the successful application of smart factories in each industry group. Finally, we suggest strategies to improve the actual manufacturing competitiveness of factories.

This study aims to explain why online reviews in Airbnb are skewed toward positive ratings. The authors examine customer perceptions of the service quality of an Airbnb stay as a relevant antecedent of whether customers leave an online review of that Airbnb stay. To this end, the authors test the hypothesis that the relationship between service quality and leaving an online review is linear and positive.

To test the hypothesis, the authors rely on primary survey data from 177 Airbnb customers combined with secondary data coming from their personal online Airbnb accounts. The authors conducted a binary logistic regression analysis to test the hypothesis.

The results show that customers’ service quality perceptions are positively and linearly related to leaving an online review of an Airbnb stay. In other words, satisfied customers are more likely to leave a review after an Airbnb stay than those who are dissatisfied.

The study is original in two respects. First, it reconsiders the role of customer experiences in explaining online customer reviews. In doing so, it empirically shows that the conventional wisdom of a U-shaped relationship between customer experiences and online reviewing does not hold in the context of the sharing economy. Second, by relying on primary survey data, the authors reveal the risk of dissatisfied customers creating an underreporting bias in online reviews, which ultimately make online reviews of Airbnb skewed toward positive ratings.

On the basis of the social identity and congruity theories, the present research aims to propose that value congruity directly affects customer–brand identification (CBI), affective brand commitment and customer–brand engagement (CBE), which, in turn, paves the way for advancing consumer relationships with hospitality brands, as measured through brand loyalty. As such, this study serves to enhance existing insight into customer relationship management dynamics, with a particular focus on hospitality brands.

The present study develops a theoretical framework that is empirically investigated by using confirmatory factor analysis and structural equation modelling analyses. Data were collected by using a self-administered questionnaire of 340 customers of four- and five-star hotel brands in India.

The results suggest value congruity as an important driver of CBI, affective commitment and CBE within hospitality brands. The results also reveal CBI to act as a significant predictor of affective commitment, CBE and brand loyalty. Furthermore, affective commitment and CBE are the significant drivers of loyalty to hospitality brands.

The research is exploratory in nature and is restricted to four- and five-star hotel customers, thereby reflecting important limitations of this study. Given these issues, ample opportunities exist for further research to further explore and/or validate the reported findings.

The current research provides new insights for marketing practitioners planning or implementing long-term customer relationship management strategi3es that centre on customer–brand identification, customer–brand engagement and brand loyalty.

Despite existing insights, empirical investigation into the proposed conceptual relationships remains limited to date, particularly in the hospitality industry. By offering empirical evidence in this area, this study adds to the extant body of knowledge on CBI/CBE-centric customer relationship management.

Sobre la base de los planteamientos teóricos de las Teorías de la identidad social y de la congruencia, este trabajo propone que la congruencia de valores afecta directamente a la identificación del consumidor con la marca, al compromiso afectivo y vínculo emocional con la misma, lo cual clarifica la manera con la que construir relaciones de los consumidores con las marcas hoteleras, aproximado a través de la lealtad. Es por ello que este estudio sirve para poner en valor las dinámicas existentes actualmente en la gestión de las relaciones con los clientes con un particular énfasis en el mercado hotelero.

Este trabajo desarrolla un marco teórico que es empíricamente contrastado a través del análisis de ecuaciones estructurales. Los datos fueron recogidos a partir de cuestionarios auto-administrados a una muestra de 340 clientes de hoteles de 4 y 5 estrellas en la India.

Los resultados sugieren que la congruencia de valores es un importante factor explicativo de la identificación del consumidor con la marca, el compromiso afectivo y el vínculo emocional con las marcas de hoteles. También se demuestra que la identificación con la marca actúa como un significativo predictor del compromiso afectivo, el vínculo emocional y la lealtad a la marca. Adicionalmente, el compromiso afectivo y el vínculo emocional ejercen un efecto significativo en la lealtad con la marca.

Esta investigación tiene una naturaleza exploratoria y sus resultados se limitan al contexto de los hoteles de 4 y 5 estrellas. Sobre la base de los resultados obtenidos, se abre un amplio número de oportunidades para el desarrollo de futuras investigaciones que confirmen validez de los resultados obtenidos.

Los resultados obtenidos proporcionan interesantes líneas de actuación para que los directivos de marketing planifiquen e implementen sus estrategias de desarrollo de relaciones con los clientes en torno a la identificación con la marca, el vínculo emocional y la lealtad hacia la misma.

Las evidencias empíricas existentes hasta la fecha son bastantes limitadas hasta la fecha, en particular en la industria hotelera. En este sentido, el presente trabajo proporciona evidencias empíricas en este ámbito y enriquece la literatura existente sobre la gestión de las relaciones con los clientes bajo un enfoque de identificación y vínculo emocional con la marca.

In this paper, we propose a scenario based global supply chain planning (GSCP) process considering demand uncertainty originated from various global supply chain risks. To generate the global supply chain plan, we first formulate a GSCP model. Then, we need to generate several scenarios which can represent various demand uncertainties. Lastly, a planning procedure for considering those defined scenarios is applied. Unlike the past related researches, we adopt the fuzzy set theory to represent the demand scenarios. Also, a scenario voting process is added to calculate a probability (possibility) of each scenario. An illustrative example based on a real world case is presented to show the feasibility of the proposed planning process.

Few studies to date have explored factors contributing to the dining experience from a visitor’s perspective. The purpose of this study is to investigate whether different restaurant attributes are critical in evaluating the restaurant experience in online reviews for visitors (non-local) and local guests.

In all, 100,831 online restaurant reviews retrieved from TripAdvisor are analyzed by using domain-specific aspect-based sentiment detection. The influence of different restaurant features on the overall evaluation of visitors and locals is determined and the most critical factors are identified by the frequency of their online discussion.

There are significant differences between locals and visitors regarding the impact of busyness, payment options, atmosphere and location on the overall star rating. Furthermore, the valence of the factors drinks, facilities, food, busyness and menu found in the reviews also differs significantly between the two types of guests.

The findings of this study help restaurant managers to better understand the different customer needs. Based on the results, they can better decide which restaurant aspects should receive the most attention to ensure that customers are satisfied.

Research on online reviews has largely neglected the role of different visitation motives. This study assumes that the reviews of local and non-local restaurant visitors are based on different factors and separates them to gain a more fine-grained and realistic picture of the relevant factors for each particular group.

The recent COVID-19 outbreak and severe natural disasters make the design of the humanitarian supply chain network (HSCN) a crucial strategic issue in a pre-disaster scenario. The HSCN design problem deals with the location/allocation of emergency response facilities (ERFs). This paper aims to propose and demonstrate how to design an efficient HSCN configuration under the risk of ERF disruptions.

This paper considers four performance measures simultaneously for the HSCN design by formulating a weighted goal programming (WGP) model. Solving the WGP model with different weight values assigned to each performance measure generates various HSCN configurations. This paper transforms a single-stage network into a general two-stage network, treating each HSCN configuration as a decision-making unit with two inputs and two outputs. Then a two-stage network data envelopment analysis (DEA) approach is applied to evaluate the HSCN schemes for consistently identifying the most efficient network configurations.

Among various network configurations generated by the WGP, the single-stage DEA model does not consistently identify the top-ranked HSCN schemes. In contrast, the proposed transformation approach identifies efficient HSCN configurations more consistently than the single-stage DEA model. A case study demonstrates that the proposed transformation method could provide a more robust and consistent evaluation for designing efficient HSCN systems. The proposed approach can be an essential tool for federal and local disaster response officials to plan a strategic design of HSCN.

This study presents how to transform a single-stage process into a two-stage network process to apply the general two-stage network DEA model for evaluating various HSCN configurations. The proposed transformation procedure could be extended for designing some supply chain systems with conflicting performance metrics more effectively and efficiently.