Examining the influencing factors of intention to share accommodations in online hospitality exchange networks

ABSTRACT

CouchSurfing is a free social-network-based online hospitality exchange network, aptly representing a new sharing economy phenomenon. Based on social capital theory and previous literature, this study attempts to answer why hosts help strangers without any expected economic benefit within online hospitality exchange networks. An empirical study based on a Web survey conducted with CouchSurfing hosts reveals that the most identified antecedents (enjoy helping, shared narratives, desire to make friends, and reciprocity) are significantly related to hosts’ intention to share accommodations. Interestingly, the overshadowing effect of trust in CouchSurfing on the intention to share accommodations is also found.     

Examining the impact of experiential value on emotions,self-connective attachment,and brand loyalty in Korean family restaurants

ABSTRACT

This study examines how experiential value as perceived by customers of Korean family restaurants influences consumption emotions, self-connective attachment to the restaurant brand, and, ultimately, brand loyalty. Having conducted a comprehensive literature review, the study proposes and estimates a model that specifies the interrelationships among four dimensions of experiential value (i.e., atmosphere, escapism, customer return on investment, and service excellence), and latent variables of positive and negative emotions, self-connective attachment, and brand loyalty. Analysis with structural equation modeling was conducted with data collected from customers of family restaurants in South Korea. The results show that dimensions of experiential value influence either positive or negative emotions. The emotion variables, together with self-connective attachment, also mediate the relationships between perceived value of dining experience and brand loyalty.     

Defect Detection Using Unanimous Vote Among Mahalanobis Classifiers for Each Color Component

In manufacturing industries, product inspection is automated and the use of image data is increasingly being employed for defect detection. A manufacturing company in Japan produces an item and inspects the produced products using image data. Reducing the error rate is important in product inspection because poor inspection of products might lead to the delivery of defective products to consumers (consumer’s risk) and strict inspection increases production cost (producer’s risk). To reduce the error rate, we highlighted fault points using a two-dimensional moving range filter and discriminated defect production through a unanimous vote among Mahalanobis classifiers for each color component. For results, we achieved a lower error rate than the current system. This research is an empirical study of how to use image data in defect detection.     

Construction and validation of a scale to measure tourist motivation to consume local food

Although the importance of the role of local food in tourism has begun to form an academic debate in the last decade, little effort has been invested in understanding what tourist motivations influence consumption of local food and beverages in a tourist destination and to develop a measurement scale for those motivations. Thus, this study adopted the comprehensive procedures of measurement scale development recommended by prior studies. The scale development procedure yielded a five factor measurement scale with acceptable levels of reliability and validity. Five underlying motivational dimensions of local food consumption were labelled: cultural experience; interpersonal relation; excitement; sensory appeal; and health concern. The outcomes and applications of the developed scale are discussed both in terms of theoretical and managerial implications.     

The managed heart: The structural analysis of the stressor–strain relationship and customer orientation among emotional labor workers in Korean hotels

This study examined the structural relationships among three different dimensions of workplace stressors (customer-related stressor, CRS; work environment-related stressor, WERS; job-related stressor, JRS), negative affectivity (NA), emotional exhaustion (EE), and the negative effect of that strain on customer orientation (CO) in the context of the emotional labor (EL) of frontline employees in the hotel industry. Data were collected from self-administrated questionnaires distributed among frontline employees in room and F&B divisions in Korean deluxe tourist hotels, where EL is intense. The results of the structural equation analysis indicated a positive association between all three workplace stressors and NA and between NA and EE. There was also a relationship in the opposite direction with EE and CO, as hypothesized. The moderating effect of organizational level on the workplace stressors–NA relationships was also confirmed. In addition, in an alternative model, we found that NA partially mediates the relationship between JRS and EE; whereas, NA fully mediates the relationships between CRS/WERS and EE. Practical implications are discussed in detail and limitations of the study and future research directions are also suggested.     

The effects of acculturation and uncertainty avoidance on foreign resident choice for Korean foods

This study attempts to identify dining-out patterns among foreign residents in South Korea, examining the differences in foreign residents’ attitudes toward Korean foods and behavioral intentions to patronize Korean restaurants based on their acculturation and uncertainty avoidance levels. The results show that foreign residents in South Korea dine out frequently and intend to revisit Korean restaurants. However, the high acculturation group has a more positive attitude toward, better understanding of, and more preference for Korean foods than the low acculturation group. Satisfaction, revisiting, and recommendation intentions for Korean restaurants are higher among the high acculturation group than the low. The low uncertainty avoidance group spends more money for dining out than the high uncertainty avoidance group, who perceive Korean foods as expensive. Attitudes toward, understanding of, and preference for Korean foods, do not differ significantly between the two uncertainty avoidance groups; nor do satisfaction and behavioral intentions to Korean restaurants.     

The impact of CSR on relationship quality and relationship outcomes: A perspective of service employees

Corporate social responsibility (CSR) has gained increasing attention over the past decade. While many studies examined an impact of CSR on consumers, only dearth of research is found that attempts to understand the impact of CSR on employees from the relationship marketing perspective. The purpose of this study is to investigate the role of CSR in predicting relationship quality and relationship outcomes. The four dimensions of CSR used in the study include economic, legal, ethical, and philanthropic aspects. Data were collected via survey from employees of franchised foodservice enterprises located in South Korea. The findings of the study show that not all dimensions of CSR have the same effect on relationship quality. While economic and philanthropic dimensions have a significant influence on organizational trust, only ethical dimension has a positive effect on job satisfaction. As expected, relationship quality has a significant impact on relationship outcomes.     

Broadband Demand Analysis for Network Building

An increase of broadband demand is forecasted by transitional methods that consider the effect of this increase through many factors, such as customer requirement diversification, and new service introduction and deployment under competition. Broadband demand forecasting has become important for closing the digital divide, promoting regional developments, and constructing networks economically; therefore, a demand forecast model that considers the mechanisms of market structure is necessary. In this paper, a demand analysis method for broadband access combining macro- and micro-data mining is proposed, and the service choice behaviour of customers is introduced as a customer model not only to express the macro trend of market structure, but also to consider area marketing. The proposed method can estimate the potential demand, determine the point at which broadband demand growth peaks in a specified area, and support a decision for ultra high-speed broadband access facility installation.