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As the hospitality industry is shifting its focus from service to experience, customers are becoming co-creators of the perceived value of a hospitality service because experiences customers obtained when consuming a hospitality service involve the participation of the customers. Thus, more research is needed to examine the relationships among consumer’s personal factors and their evaluations of hospitality services. This study developed and tested hypotheses that examined the effects of customers’ intrinsic characteristics on their evaluations of a restaurant service. Data were collected from college students in the United States (n = 220) and China (n = 254) using a scenario approach. Findings reveal that customers’ gender, personality, and cultural background had significant effects on their evaluations of a restaurant service. Specifically, female customers rated the same service higher than male customers on the reliability dimension of service quality and overall service quality; customers with personalities of extroversion, conscientiousness, agreeableness, and openness rated the service higher than customers with neuroticism personality on the responsiveness dimension; and customers in individualistic cultures rated the service higher than those in collectivistic cultures on most of the service evaluation measures. Implications of the study’s findings are discussed.

In this chapter, we examine employee prosocial rule breaking as a response to organizations’ unfair treatment of customers. Drawing on the deontic perspective and research on third-party reactions to unfairness, we suggest employees engage in customer-directed prosocial rule breaking when they believe their organizations’ policies treat customers unfairly. Additionally, we consider employee, customer, and situational characteristics that enhance or inhibit the relationship between employees’ perceptions of organizational policy unfairness and customer-directed prosocial rule breaking.

Retail marketing is in the midst of an evolution. The paradigm is shifting from a product-centric to a consumer-centric focus, with a particular emphasis on understanding how consumers transition from harboring an interest in a product to actually purchasing that product. In response, shopper marketing, and in-store marketing (ISM) in particular, have emerged as important mechanisms to influence shopper behavior in brick & mortar and online retail environments. The academic literature is replete with work on what factors of ISM influence shopper behavior. In this chapter, we categorize prominent streams of findings on ISM into firm, customer, competitor and product characteristics of ISM and examine how the notion of a “store” is evolving from bricks to clicks – namely from physical formats to online shopping experiences. Insights from this chapter will help retailers and store managers identify what their customers respond to within a physical store, how technology is changing the way they can capture information on customers, and how shopper behavior is evolving in response to brick & mortar and online retail environments.

Quality function deployment (QFD) is a method developed in Japan to help transform the voice of the customer into product characteristics and to control quality in the development/production phases. It minimizes the risk that products or services are far from the costumers’ needs and promotes company integration and quality management. Starting with the description of the “House of Quality,” the chapter explains how to build a QFD. Strengths and weaknesses of the methodology are also presented to the reader.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

This study investigated the association between structural conditions and social incentives and their effect on the ethnic composition of mobile social networks. Regarding structural conditions, we examined the role of the ethnic group’s size, socioeconomic status, and heterogeneity of the city in which the business was located. Regarding social incentives, we investigated the social diversification hypothesis, which expects that residentially and socially segregated minority groups will take advantage of mobile communications to diversify their mobile communication ties with outgroup members.

Two data sets were used. The first was the aggregation of the mobile communication patterns of business customers as measured by one of Israel’s mobile phone operators in April 2010. The database included 9,099 call data records. The second was a data set of the social characteristics of 103 Israeli cities from the Israeli Bureau of Statistics. Both data sets were merged according to the place of residence of each customer.

Israeli Arab businesses in homogeneous Jewish and mixed cities operate in an environment with more structural opportunities to create outgroup ethnic ties than Arab businesses in homogeneous Arab cities. Jewish businesses in ethnically mixed cities have more outgroup mobile ties than comparable businesses in homogenous Jewish cities.

We expand previous models and suggest a structural diversification approach in which ethnic mobile social networks vary across homogeneous and ethnically mixed cities. These variations result in different social incentives as the diversification approach assumed, as well as different structural conditions, as the structural approach indicates.

This chapter shows how to identify the characteristics of borrowers that are part of a credit scoring model. The credit risk scoring model is an important tool for evaluating credit risk associated with customer characteristics that affect defaults. This research was conducted at a financial institution, a subsidiary of a commercial bank in Indonesia, to answer the challenge of determining the feasibility of providing financing quickly and accurately. This model uses a logistic regression method based on customer data with indicators of demographic characteristics, assets, occupations, and financing payments. This study identifies nine variables that meet the goodness of fit criteria, which consist of WOE, IV, and p-value. The nine variables can be used as predictors of default probability: type of work, work experience, net finance value, tenor, car brand, asset price, percentage of down payment (DP), interest, and income. The results of the study form a risk assessment model to identify variables that have a significant effect on the probability of default.