浅析北京四合院与中华文化之联系

北京四合院是中国民居的代表,同时也蕴含中华文化的博大精深,本文从多个方面阐述四合院的文化价值以及对四合院与中华文化互相影响进行探讨。     

Customer Interaction Management Capabilities on the Micro-Retail Fashion in Indonesia

This article aims to investigate and examine Customer Interaction Management Capabilities (CIMaC) as mediator in the relation of Market Intelligence Quality (MIQ) and Customer-Centric Commitment (CCC) with New Product Performance (NPP). A Structural Equation Model (SEM) is used to test the empirical research design, using the data retrieved from micro-retail owners in Central Java, Indonesia. A Confirmatory Factor Model is used to test the multi-dimensionality of a theoretical construct (construct validity test). The findings show that only MIQ influences NPP, while CCC does not. However, CIMaC genuinely mediate the relationship between MIQ and CCC with NPP. By investigating the literature of various market learning, CRM, NPD, and entrepreneurship, this study offers a unique analysis about the market intelligence quality, customer-centric commitment and its impacts on customer interaction management capability, and the new product performance. Conceptual discussion and empiric results explore the previous research about market orientation culture on micro businesses.     

Internet-Based Relationship Marketing: A Sub-Saharan African Perspective

Establishing, maintaining, and enhancing relationships over the Internet have progressively gained global attention. Nevertheless, the dawn of this modernization draws many theoretical debates and practical concerns, some of which have received little research attention, especially within the Sub-Saharan region of Africa. On this premise, we explored the contemporary practice, challenges, and benefits of Internet-based relationship marketing (RM) within the Ghanaian telecommunication industry. Expert interviews with 12 employees from four telecommunication firms elicited a wealth of experiential data analyzed thematically to understand the practice, challenges, and emerging benefits of Internet-based RM. Our findings suggest that issues of privacy concerns, erosion of face-to-face communication, and the tendency of unsolicited communication do not necessarily militate Internet-based RM within the Ghanaian telecommunication industry. We also identified emerging benefits, including online “virality,” a discovery environment, and improved firm reputation. We suggest enhancing online personalization through empathy, creating value with analytic information and managerial openness, and supporting enhanced knowledge development within the area. Directions for future studies include the possibility of comparative studies across service industries and examining the role of content marketing in Internet-based relationships. The challenge of exploring Internet-based RM was similar to hitting a moving target, as the use of the Internet for relationship marketing activities is constantly evolving. Additionally, our findings and conclusion are confined to the knowledge contribution of the experts interviewed. As one of the few studies within the Sub-Saharan region, we expand contributions from the Sub-Saharan domain. The findings of this study also bring to light new insights for establishing, maintaining, and enhancing Internet-based relationships.     

Using verbal attention to enhance restaurant customer satisfaction and behavior

Managing and developing positive customer relationships is a critical factor in the success of a restaurant. In this study, waitresses either asked customers about their satisfaction with the food or service before proposing tea or coffee, or they directly proposed coffee or tea without asking about satisfaction. It was found that the number of customers who ordered coffee/tea was significantly higher when the waitress asked the customers about their satisfaction. The theoretical and practical interest of studying the effect of verbal communication toward customers is discussed.     

Impact of auditory sense on trust and brand affect through auditory social interaction and control

Voice assistants—or voice-enabled artificial intelligence—have changed the way people interact with their surroundings dramatically. Utilizing an enactive view of social cognition theory, this study demonstrates how voice assistants can act as [semi] autonomous agents to hold instantaneous social interactions with consumers. This research employed two experimental studies. Study 1 used two voice assistant mobile applications, Microsoft Cortana and Google Assistant, and Study 2 used Amazon Alexa and Microsoft Cortana. The contributions this paper makes are two-fold. First, the results illustrate how perceived auditory sense drives perceived auditory control through auditory social interactions with a voice assistant that lead to brand affect and consumers’ trust in the voice assistant. Second, results shed light on the role of surprise as a repelling drive that attenuates the effect of perceived auditory control on brand affect.     

Decomposing Impression from Attitude in Relationship Management Outcomes

This study expands relationship management theory by testing the linkages between perceived relational quality, organizational impression, and attitude in affecting the behavioral intention of customer public of five major banks. A survey of 1,178 banking customers showed that perceived relational quality, organizational impression, and individual attitude, significantly affected supportive behaviors. Organizational impression was found to be almost three times more determinant than perceived relational quality in affecting individuals' attitudes, and subsequently, their supportive behaviors. By highlighting the role of organizational impression, linkages between the relationship management perspective and other theoretical frameworks, such as image repair, become apparent; bearing implications for scholarship and practice.     

The relationship between multinationality and performance: Knowledge-intensive vs. capital-intensive service micro-multinational enterprises

This research explores the relationship between multinationality and firm performance (M-P) in the context of micro-multinational enterprises (mMNEs) within the service sector. We examine the moderating effects of industry characteristics using a data set of 1082 Spanish service mMNEs over an eight-year period. The empirical results provide statistical evidence that knowledge-intensive service mMNEs exhibit an inverted U-shaped M-P relationship, while capital-intensive service mMNEs present a U-shaped relationship. Our findings demonstrate that knowledge-intensive service mMNEs increase their performance in the initial stage of multinationality, encounter a threshold of internationalization at relatively low levels of multinationality and have a propensity to over-internationalize. By comparison, capital-intensive service mMNEs experience negative performance effects at low levels of multinationality and positive ones as they further internationalize. Given that their operations are scale-sensitive, they tend to expand internationally by concentrating their operations in few foreign markets as a means to overcome the liabilities of internationalization and smallness. We contribute to the literatures on multinationality research in the service sector and on SME internationalization by showing that the effects of multinationality on the performance of mMNEs depend on industry characteristics and that such contextual factors provide a better understanding of the M-P relationship.     

“安倍经济学”与“李克强经济学”孰优孰劣

在外界看来,"安倍经济学"喜迎东风,"李究竟哪一种发展模式能够真正实现经济持续健康发展的神话?然而,哪一种发展模式更加适应本国国情,真正能实现国富民强?     

KIBS企业—顾客交互创新中知识整合的权变机制

引入过程互依性和项目不确定性,探讨了KIBS企业-顾客交互创新中知识整合的权变机制。基于338份服务创新项目问卷数据进行实证研究,结果显示:在KIBS企业-顾客交互四要素中,除规则正式化负向影响外部知识整合以外,决策集体化、资源共享和任务协作均正向影响内、外部知识整合;过程互依性增强了规则正式化、决策集体化和任务协作对内部知识整合的影响,但对资源共享与内部知识整合间关系的调节作用不显著;项目不确定性增强了规则正式化、资源共享和任务协作对外部知识整合的影响,但对决策集体化与外部知识整合间关系的调节作用不显著。     

A neural network based price sensitive recommender model to predict customer choices based on price effect

The impact of price and price changes should not be ignored while designing algorithms for predicting customer choice. Consumer preferences should be modeled with consideration of price effects. Businesses need to consider for efficient prediction of an individual's purchase behaviour. Personalized recommendation systems have been studied with machine learning algorithms. However, the price-aware personalized recommendation has received little attention. In this paper, we attempt to capture insightful economic results considered in the marketing and economics disciplines by employing modern machine learning architecture for predicting customer choice in a large-scale supermarket context. We extract personalized price sensitivities and examine their importance in consumer behaviour. The employed data collected from a supermarket chain in Germany consists of implicit feedback based on customer-product interactions and the price of every interaction. We propose a two-pathway matrix factorization (2way-MF) model that is price-aware and tries to memorize customer-product interaction's implicit feedback. The proposed models achieve better model performance than standard Matrix Factorization models widely used in the industry. The approach was re-validated with data from supermarket chain in Taiwan. Other industries can adopt the proposed framework of modeling customer's preferences based on price sensitivity. We suggest that further research and analyses could help understand the cross-price elasticities.