• International Journal of Advanced Culture Technology
• /
• 제11권3호
• /
• pp.338-345
• /
• 2023

Nowadays, many companies are striving to turn customer value into business value. Customer Relationship Management is a management system that develops effective and efficient marketing strategies by classifying customers in detail based on their information, i.e. databases, and consists of various information technologies. To implement this management system, a customer integration database must be established, and customer characteristics (buying behavior, preferences, etc.) must be analyzed with the databases established and the behavior of each customer must be predicted. This study aims to systematically manage a large amount of customer data generated by companies that apply Customer Relationship Management, in order to develop data design and data governance strategies that should be considered to increase customer value and even company value. We mainly looked at the characteristics of customer relationship management and data governance, and then explored the link between the field of customer relationship management and data governance. In addition, we have developed a data strategy that companies need to perform data governance for customer relationship management.

• 한국경영정보학회:학술대회논문집
• /
• 한국경영정보학회 2007년도 추계학술대회
• /
• pp.527-532
• /
• 2007

Differentiation strategies have been suggested as the critical sources of competitive advantage in B2C industry where customers can switch internet shopping mall with one click with virtually no transaction cost. Indeed, competition on low pricing cannot be a viable strategy in B2C industry. Moreover, cultivating customer loyalty to attain profitability is still a challenging task for most internet shopping mall. In this study, we provide empirical analysis results on key managerial variables that indicate the difference between the product categories in terms of customer perception on relative value importance. We first identified comprehensive managerial variables and organized them in terms of customer decision stage. Next, with reference to extant literatures on product characteristics based e-commerce strategy, hypotheses are developed to formalize the customer value differences on the key managerial variables. Empirical testing results indicated that there are significant differences on customer perceived value of the key managerial variables between the product groups. The findings provide useful insight for further study on e-commerce differentiation strategy.

• 경영과정보연구
• /
• 제5권
• /
• pp.61-79
• /
• 2000

This research suggests the strategic adoption methodology of Customer Relationship Management. The backgrounds of CRM is the business environment changing that Market power is shifting to the customer who has unprecedented powers of choice today. The strategic adoption of Customer Relationship Management determines the value, needs and preferences of each customer or customer segment. Customer Relationship Strategy is an explicitly defined plan for how a company has decided to connect with, relate to, and focus on its chosen customers to create value. Deliberate decisions must be made, often involving trade-offs, so that investments are aligned with customer needs and value. Plan defined in terms of target customers value proposition, role in value delivery, and risk/reward sharing. All customers are not created equal; specific customers and/or customers segments are more desirable/valuable to pursue. Key premise of CRM is that value can be created by changing company's business model to better connect with customers. Area of service of Customer Relationship Management are as follows. Portfolio strategy, Market Opportunity Assessment, Brand Equity, Market Positioning, Pricing, Channel Strategy, Market Segmentation. Target Market Identification, Customer LifeTime Value Analysis, Customer Profitability, Customer Connections Economics Analysis. The objects of CRM are maximizing customer service effectiveness, improving customer loyalty, increasing customer service efficiency, optimizing intelligence about customer behaviors and preferences.

• 한국조리학회지
• /
• 제5권2호
• /
• pp.261-279
• /
• 1999

In order to meet competitive power, foodservice should aim to satisfy customers through distinguished quality and service as well as speciality and know-how. Especially, in coming 2000 year will be openned ASEM, 2001 will be the "Year to visit Korea", 2002 will be openned Korea-Japan Soccer World Cup, with these event as a momentum the domestic foodservice industry would be continuously increased and improved. Foodservice industry is the tertiary industry with the potentiality, tremendous popularity, premanancy and future-orient, it is gradually taking root as a basic industry after going through the industrialization. Furthermore, foodservice industry aim to satisfy customer based on quality, services, cleanliness, atmosphere, timing and value, besides, it is customer closeby service which to supply value and satisfaction through systemization, being manual, being technological renovation. Strategic management of foodservice industry is as following: Firstly, marketing strategy requires positing strategy to recongnize self-brand to the customer, thus requires to get hold how to take firm in customers′ mind. And then distingushed strategy requires. So somehow it is important to secure competitive in customers′ mind. Secondaryly, it requires strategy of competive advantegy. It is not to improve unique core competence of industry which is developed and studies for a long time but to pursuit diversfication based on core of industry Thirdly, it requires strategy of customer satisfaction. In these modern days it is important how much to satisfy customer, as it could be not expect continuous frowth and development without strategy of customer satisfaction. Therefore strategy of customer satisfaction is a necessary condition for the foodservice industry.

• 한국경영과학회지
• /
• 제36권4호
• /
• pp.109-123
• /
• 2011

This study proposes a value based service design (VBSD) approach using Kano's model and QFD. Key quality factors and key cost factors are identified, evaluated and then incorporated to produce customer value index (CVI) and provider value index (PVI) which are together used to determine the four value strategy zones. Each value strategy zone suggests its own appropriate service development strategy based on its corresponding CVI and PVI characteristics such as maintaining current service, reducing costs, raising quality or eliminating/creating services. A camping car service design case is applied to this study, which shows the practical contribution of this VBSD approach.

• 경영과학
• /
• 제26권1호
• /
• pp.7-20
• /
• 2009

The framework of "blue ocean strategy (Kim and Mauborgne, 2005)" applies to not only business firm level but also region or regional industry level. The paper suggests an approach of survey-based blue ocean strategy formulation. The result from survey on customer group and non-customer group gives information on positions of value curves for regions on strategy canvas and hints on how to reposition the focal region's value curve for both increases in value for customers and decreases in cost for local government, i.e., value innovation. In the context of rafting industry in Korea, this study shows the process how blue ocean strategy can be formulated with results from the survey on customers and business people in rafting industry. Relative positions of value curves on strategy canvas and importance scores for strategy elements provides the local government in region A with implications on which elements to raise or to reduce to create "blue ocean" in rafting industry under fierce inter-region competition.

• 유통과학연구
• /
• 제22권2호
• /
• pp.51-61
• /
• 2024

Purpose: This comprehensive study delves into the intricate relationship between customer engagement, perceived risk, and perceived value within China's burgeoning e-commerce livestreaming sector. It focuses on how different customer engagement types in livestreaming influence their perception of value and risk. Research Design, Data, and Methodology: Adopting a convenience sampling approach, this research scrutinizes data collected from 852 consumers actively involved in e-commerce livestreaming shopping. Participants provided their insights through a meticulously designed questionnaire survey. Structural equation modeling helped examine the interplay between customer engagement, perceived risk, and value. Results: Significant impacts of customer engagement on perceived value and risk were found. Observation-based, conversation-based, and action-based engagements enhance perceived risk, while conversation-based and action-based engagement reduce perceived risk. Interestingly, observation-based engagement did not significantly affect perceived risk. The study also uncovered that perceived risk negatively impacts perceived value. Conclusions: The research offers insights into customer behavior and value creation in e-commerce livestreaming. It underscores how different engagement types affect perceived value and risk, aiding e-commerce platforms and businesses in strategy development to improve customer experience and minimize risks, enhancing perceived value in this dynamic sector. Enhances understanding of customer engagement dynamics in China's e-commerce livestreaming, guiding strategic development.

• 한국경영과학회지
• /
• 제39권3호
• /
• pp.63-82
• /
• 2014

The main objective of this research is to investigate whether the RFM (recency-frequency-monetary value) information of a customer's redemption behavior of loyalty points can improve the prediction of future value of the customer. The conventional measurement of customer value has been primarily based on purchase transactions behavior although a customer's future behavior can be also influenced by other interactions between the customer and the firm such as redemption of rewards in a loyalty program. We theorize why a customer's redemption behavior can influence her future purchases and thereby the customer's total value based on operant learning theory, goal gradient hypothesis, and lock-in effect. Using a dataset from a major book store in Korea spanning three years between 2008 and 2010, we analyze both purchase transactions and redemption records of over 10,000 customers. The results show that the redemption-based RFM information does improve the prediction accuracy of the customer's future purchases. Based on this result, we also propose an improved estimate of customer lifetime value (CLV) by combining purchase transactions and loyalty points redemption data. Managerial implications will be also discussed for firms managing loyalty programs to maximize the total value customers.

• 산업경영시스템학회지
• /
• 제45권2호
• /
• pp.56-64
• /
• 2022

Many studies have suggested that e-commerce value creation potential depends on four interdependent factors Lock-In, Complementarity, Efficiency, and Novelty. In order to survive in the recent fierce competition, companies have also secured e-Trust that strengthens long-term business relationships by reducing consumer uncertainty. This study, while analyzing the value creation factors (Lock-in, Complementarity, Efficiency, Novelty, e-Trust) of recent e-commerce (online shopping mall) companies from the point of view of purchase intention, customer value (Functional value, Emotional value, Social value) We present an academic proposition that can also examine the mediating effect of value). First, through previous studies on value-based strategy and value creation in e-commerce, various discussions on the theoretical background necessary for effective value-based strategy establishment and strategy execution of e-commerce (online shopping mall) companies were reviewed. Second, it provides academic discussion and practical implications by presenting academic propositions on the value creation factors of e-commerce (online shopping mall) companies, purchase intentions, and customer value, and confirming the basis through empirical analysis.

• 유통과학연구
• /
• 제20권12호
• /
• pp.59-69
• /
• 2022

Purpose: The purpose of this research is to identify and design a model for the integration between marketing and supply chain management (SCM) of technopreneurship-based souvenirs MSMEs to fulfil customer value creation. Research design, data and methodology: This research method uses the system development life cycle method. This study draws its insights and conclusions from a literature review in several fields followed by an interactive research approach that helps identify, validate, and implement a theoretical framework so that the modelling results can be adopted in applicative manner for souvenir MSMEs. Result: Implementing the "G-ASPOO-L" supply chain management integration model based on technopreneruship to fulfil value creation in the 5.0 society era created three perspectives: an inter-functional perspective, a process perspective, and an integrated business concept perspective. The supply chain management involves enterprise integration, strategic customer integration, strategic supplier integration, and marketing strategy integration. Conclusion: The proposed model framework leads to managerial problems of supply chain management strategy, which urgently requires an interaction approach that challenges the traditional view of demand creation and implementation of supply chain management to fulfil value creation. This research leverages existing knowledge and advances our understanding of the strategic integration issues companies face in digital-based competition.