Investigating the immediate and long-term effects of job stressors on frontline service employees

Two studies investigate the immediate and long-term effects of job stressors on frontline service employees (FSEs). Using cognitive appraisal theory, we develop and test a conceptual model of two job stressors (crowding and emotional labor) that affect coping strategies and job outcomes. Study 1, which is a field experiment, investigates the immediate effects of crowding in a single firm. Study 2 extends the findings of Study 1 and investigates the long-term effects of emotional labor and crowding on FSEs across multiple firms. The results show that crowding has a negative impact on coping strategies and job-related outcomes. In addition, emotional labor can lead to long-term negative outcomes, such as emotional exhaustion and decreased job retention, for some FSEs. Consequently, service organizations should consider strategies or tactics that prevent high levels of customer crowding and help FSEs deal with emotional labor.     

商业银行CRM的中国本土化业务流程重组研究

市场竞争日益激烈,我国商业银行越来越深刻地认识到客户是最有价值的资源.如何留住老客户和吸引新客户,充分挖掘和利用客户资源,成为国内各商业银行首要关注的问题.入世后外资银行的进入更加深了我国商业银行对客户关系管理(CRM)的研究和应用,借助CRM实现从"以产品为中心"到"以客户为中心"的经营理念的演变,实现对银行组织体系和业务流程的重组.本文在展开对商业银行CRM的应用和研究的时候,将CRM放在企业信息化和管理改造的整体框架中进行分析、论证和实施.将信息技术和企业管理结合起来,更深刻地体会"信息化带动工业化"的内涵,是本文的指导思想.     

Incorporating textual information in customer churn prediction models based on a convolutional neural network

This study investigates the value added by incorporating textual data into customer churn prediction (CCP) models. It extends the previous literature by benchmarking convolutional neural networks (CNNs) against current best practices for analyzing textual data in CCP, and, using real life data from a European financial services provider, validates a framework that explains how textual data can be incorporated in a predictive model. First, the results confirm previous research showing that the inclusion of textual data in a CCP model improves its predictive performance. Second, CNNs outperform current best practices for text mining in CCP. Third, textual data are an important source of data for CCP, but unstructured textual data alone cannot create churn prediction models that are competitive with models that use traditional structured data. A calculation of the additional profit obtained from a customer retention campaign through the inclusion of textual information can be used by practitioners directly to help them make more informed decisions on whether to invest in text mining.     

Analyzing online reviews in hospitality: data-driven opportunities for predicting the sharing of negative emotional content

Hospitality is one of the sectors that are nowadays most heavily characterized by consumers’ tendency to share online reviews on dedicated digital platforms. While most past work has focused on understanding the effect of online reviews and ratings on consumers’ evaluation and purchase decisions, this research tackles the issue of what drives the sharing of certain types of online content. Specifically, we investigate the sharing of user-generated content characterized by negative emotional valence, and study the effect of two factors on the extent to which user-generated content contains negative emotions. One such factor is reviewer's expertise, while the other is hotel quality. Our analysis of 1200 TripAdvisor reviews on Italian hotels located in three major Italian cities confirm our hypothesis that expert reviewers might share reviews containing less intense negative emotional content compared to less expert reviewers especially when the hotel is of high quality. To support our hypothesis, we build on the research on psychological antecedents of word-of-mouth behaviour suggesting that expert consumers are particularly reluctant to share negative word-of-mouth to avoid projecting a negative image of themselves in social contexts, thus possibly damaging their reputation.     

Equal access to hospitality services for guests with mobility impairments under the Americans with Disabilities Act: Implications for the hospitality industry

The hospitality operator's obligation to comply with the ADA has provided the necessary impetus to ensure that hospitality services are provided in a non-discriminatory manner. The ADA requires modification of hospitality policies and procedures to ensure that guests with disabilities are provided services in a manner equivalent to those provided to able-bodied guests. This article provides the hospitality operator with a framework for training front-line employees and offers recommendations for analyzing how current policies and procedures could be modified in a way that limits potential liability as well as more effectively meets the needs of guests with mobility impairments.     

Creating a model of customer equity for chain restaurant brand formation

The purpose of this research was to create and test a model of customer equity for chain restaurant brand formation. It has long been acknowledged that managing and enhancing customer equity influences a company's shareholder value, which is a reflection of long-term financial performance. A review of the current literature revealed three key determinants of customer equity: (1) value equity, (2) brand equity, and (3) relationship equity. Six hypotheses were derived and, based on data analysis, all six were supported. Value, brand, and relationship management were all confirmed to be important factors in enhancing customer equity in the chain restaurant industry. Further, brand equity has the strongest impact on the development of customer equity in this particular industry. Relationships among value equity, brand equity, and relationship equity were also identified. Managerial implications are discussed.     

The influence of satisfaction on customer retention in mobile phone market

This study examines the determinants of customer satisfaction and customer loyalty in the Peruvian mobile phone market. Based in a survey to 1259 customers, Multinomial Logit and GSEM estimations show how determinants of customer satisfaction can be assessed when satisfaction is measured through ordered categorical data. The results confirm that in mobile phone market Customer Satisfaction influences strongly on Customer Loyalty, and in turn Loyalty is an important determinant of Customer Retention. In contrast with previous literature, this study identified the differentiated influence of diverse factors on positive and negative customer satisfaction categories. Indeed while results show that quality of service assessments made by customers had a significant impact on both negative and positive customer satisfaction categories; assessments of other service attributes like customer care, information on tariffs and plans and billing clarity, only showed a significant statistical influence on positive categories of customer satisfaction. Similar asymmetrical results were found with regard to other economic, socioeconomic and geographical determinants of customer decisions. As well, an analog effect is also observed in the relationship between customer satisfaction and loyalty, where only positive satisfaction assessments helps to explain the loyalty of users. Finally, results show that while satisfaction can be identified as a powerful cause of CR, switching barriers did not deter more demanding customers to switch to alternative carriers, suggesting that recent pro-competition regulatory reforms implemented in Peru contributed to reduce these barriers to competition in mobile markets.     

E-loyalty driven by website quality: The case of destination marketing organization websites

The capability of website quality management to drive tourism customer e-loyalty is the key factor to achieve superior performance of destination marketing organization (DMO) website operations. The quality management approaches that revolve around website design quality and online relationship quality have drawn intensive attention from e-loyalty researchers in recent years. Thorough empirical investigation, however, still lacks in incorporating the integrative impact generated by the two approaches into DMO website quality management. The current study introduces and validates a theoretical framework based on such impact. As the research result reveals, six facets predict tourism customer e-loyalty directly: informational usefulness, navigational effectiveness, aesthetic appeal, entertainment, social presence, and self-concept congruity embedded in the functional, emotional, and symbolic dimensions of website design quality. Online relationship quality, comprised of relationship satisfaction and relationship trust, plays a partial mediator role in amplifying the e-loyalty driving effect of website design quality in the DMO website context.     

Supply chain integration and operational performance: The contingency effects of production systems

The boundary conditions of supply chain integration (SCI) have been widely studied in order to find out when SCI is applicable and effective. However, prior studies have mainly focused on external contextual factors, such as supply complexity, environmental uncertainty and country-level infrastructure. This study contributes to the SCI literature by examining the contingency effects of internal production systems on the relationship between supplier integration, customer integration and operational performance. Based on organizational information processing theory, we provide evidence to show that the impact of supplier and customer integration on operational performance varies across production systems, such as one-of-a-kind production, batch production and mass production systems. The empirical results also reveal how supplier and customer integration can be matched with different configurations of production systems in order to achieve the desired quality, flexibility, delivery or cost performance.     

Impact of hotel-restaurant image and quality of physical-environment,service, and food on satisfaction and intention

This study developed a theoretical framework in which overall image, image congruence, and quality of physical environment, service, and food affect guests’ satisfaction and intentions to revisit a luxury hotel restaurant and visit other restaurants of the same hotel by considering the influence of conspicuousness as a moderator. The measurement model assessment revealed that all items included an acceptable level of measurement quality. Results of the structural analysis indicated that the research variables were in general significantly associated; quality dimensions and satisfaction had a mediating role; and the impact of satisfaction and overall image on decision formation was greater than that of other variables. Moreover, the structural invariance model assessment indicated that conspicuousness acted as a significant moderator. Overall, our proposed theoretical framework was found to include a sufficient power in predicting patrons’ intentions for luxury hotel restaurant products. Using this quantitative approach, our research objectives were wholly achieved.