Other affiliations: Pohang University of Science and Technology
Bio: Su-Yeon Kim is an academic researcher from Daegu University. The author has contributed to research in topics: Psychology & Technology acceptance model. The author has an hindex of 8, co-authored 28 publications receiving 942 citations. Previous affiliations of Su-Yeon Kim include Pohang University of Science and Technology.
TL;DR: A framework for analyzing customer value and segmenting customers based on their value is proposed and strategies building according to customer segment will be illustrated through a case study on a wireless telecommunication company.
Abstract: The more a marketing paradigm evolves, the more long-term relationship with customers gains its importance. CRM, a recent marketing paradigm, pursues long-term relationship with profitable customers. It can be a starting point of relationship management to understand and measure the true value of customers since marketing management as a whole is to be deployed toward the targeted customers and profitable customers, to foster customers' full profit potential. Corporate success depends on an organization's ability to build and maintain loyal and valued customer relationships. Therefore, it is essential to build refined strategies for customers based on their value. In this paper, we propose a framework for analyzing customer value and segmenting customers based on their value. After segmenting customers based on their value, strategies building according to customer segment will be illustrated through a case study on a wireless telecommunication company.
TL;DR: An agent-based framework for providing the personalized services using context history on context-aware computing is proposed and a prototype system is implemented to show the feasibility of the framework.
Abstract: Predicting the preferences of users and providing the personalized services or products based on their preferences are the important issues. However, the research considering users' preferences on context-aware computing is a relatively insufficient research field. Hence, this paper aims to propose an agent-based framework for providing the personalized services using context history on context-aware computing. Based on the proposed framework, we implement a prototype system to show the feasibility of the framework. Previous researches require that the users input their preference manually, but this research provides the personalized services extracting the relationship between users' profile and services under the same context automatically.
TL;DR: This paper proposes a practical methodology to capture and represent organizational knowledge that uses a knowledge map as a tool to represent knowledge.
Abstract: Recently, research interest in knowledge management has grown rapidly. Much research on knowledge management is conducted in academic and industrial communities. Utilizing knowledge accumulated in an organization can be a strategic weapon to acquire a competitive advantage. Capturing and representing knowledge is critical in knowledge management. This paper proposes a practical methodology to capture and represent organizational knowledge. The methodology uses a knowledge map as a tool to represent knowledge. We explore several techniques of knowledge representation and suggest a roadmap with concrete procedures to build the knowledge map. A case study in a manufacturing company is provided.
TL;DR: An integrated SISP methodology is proposed which solves the above problems while retaining the advantageous qualities of current SISp methodologies and a case study is added to show how the methodology actually works in practice.
Abstract: Within the competitive global environment, information has become a key resource for increasing a corporation's competitiveness by changing the nature or conduct of business. Accordingly, corporations are now seeking a method for information systems planning to maximize their strategic effectiveness. Strategic Information Systems Planning (SISP) refers to the process of creating a portfolio for the implementation and use of IS to maximize the effectiveness and efficiency of a corporation, so that it can achieve its objectives. An investigation of SISP, however, showed that only 24% of planned applications were actually developed (Int. J. Comput. Appl. Technol., 8 (1995), 61; MIS Quarterly, September (1988), 445). This figure clearly shows that enhancements are required for current SISP processes. In particular, this paper focuses on SISP methodologies, which provide support for overall SISP processes. The paper initially identifies four general SISP methodology problems: lack of support for Information Technology Architecture, under-emphasis on information technology opportunities, duration of SISP, and lack of support for business process reengineering. Next, it proposes an integrated SISP methodology which solves the above problems while retaining the advantageous qualities of current SISP methodologies. Finally, a case study is added to show how the methodology actually works in practice.
TL;DR: This study focuses on knowledge that may be missed during knowledge transfer among workers, and proposes a process-based knowledge management framework for analysing knowledge flow, which employs a two-phase analysis: process analysis and knowledge-flow analysis.
Abstract: The manufacturing industry is usually operated on the basis of business processes, and most workers are familiar with their own processes. The process-based approach can provide an efficient way to capture and navigate knowledge. In this study, we focus on knowledge that may be missed during knowledge transfer among workers. For this, we propose a method for analysing knowledge flow, which is passed among business processes. As a means of developing a process-based approach to analysing knowledge flow, a new categorization of knowledge is presented in three dimensions: scope, type, and usage level. Then we propose a process-based knowledge management framework for analysing knowledge flow, which employs a two-phase analysis: process analysis and knowledge-flow analysis. We use process decomposition and process dependency analysis techniques for process analysis. A knowledge-flow model, represented by a knowledge-flow diagram, is proposed as a tool for representing knowledge. We formulate several semantics for knowledge-flow modelling and suggest procedures for knowledge-flow analysis. The proposed approach is verified and illustrated through a case study of the manufacturing process. Copyright © 2003 John Wiley & Sons, Ltd.
TL;DR: Findings of this paper indicate that the research area of customer retention received most research attention and classification and association models are the two commonly used models for data mining in CRM.
Abstract: Despite the importance of data mining techniques to customer relationship management (CRM), there is a lack of a comprehensive literature review and a classification scheme for it. This is the first identifiable academic literature review of the application of data mining techniques to CRM. It provides an academic database of literature between the period of 2000-2006 covering 24 journals and proposes a classification scheme to classify the articles. Nine hundred articles were identified and reviewed for their direct relevance to applying data mining techniques to CRM. Eighty-seven articles were subsequently selected, reviewed and classified. Each of the 87 selected papers was categorized on four CRM dimensions (Customer Identification, Customer Attraction, Customer Retention and Customer Development) and seven data mining functions (Association, Classification, Clustering, Forecasting, Regression, Sequence Discovery and Visualization). Papers were further classified into nine sub-categories of CRM elements under different data mining techniques based on the major focus of each paper. The review and classification process was independently verified. Findings of this paper indicate that the research area of customer retention received most research attention. Of these, most are related to one-to-one marketing and loyalty programs respectively. On the other hand, classification and association models are the two commonly used models for data mining in CRM. Our analysis provides a roadmap to guide future research and facilitate knowledge accumulation and creation concerning the application of data mining techniques in CRM.
TL;DR: This paper begins with a discussion of the IoT, then a brief review of the features of "data from IoT" and "data mining for IoT' is given, and changes, potentials, open issues, and future trends of this field are addressed.
Abstract: It sounds like mission impossible to connect everything on the Earth together via Internet, but Internet of Things (IoT) will dramatically change our life in the foreseeable future, by making many "impossibles" possible. To many, the massive data generated or captured by IoT are considered having highly useful and valuable information. Data mining will no doubt play a critical role in making this kind of system smart enough to provide more convenient services and environments. This paper begins with a discussion of the IoT. Then, a brief review of the features of "data from IoT" and "data mining for IoT' is given. Finally, changes, potentials, open issues, and future trends of this field are addressed.
TL;DR: This paper reviews tourism studies published from 1996 to July 2009 that pertain to methodological approaches to website evaluation, and analyzes the initial work and continues up to recent developments in website evaluation.
Abstract: This paper reviews tourism studies published from 1996 to July 2009 that pertain to methodological approaches to website evaluation. The paper analyzes the initial work and continues up to recent developments in website evaluation. In general, prior research can be divided into five evaluation approaches: counting, automated, numerical computation, user judgment, and combined methods. The strengths and weaknesses of each method are examined. Research gaps and opportunities for future studies are discussed.
TL;DR: This study develops and proposes an integrative framework which focuses on identifying and examining the factors that contribute to the assessment of a firm's readiness to go green via IT-enabled virtualization.
Abstract: Green IT (information technology) has recently emerged into an active research area in the information systems (IS) discipline. A major gap that exists in the Green IT research literature today is the absence of a theoretical framework that can be used to assist organizations in assessing their potential for undertaking Green IT initiatives and implementing them via modern technological means such as virtualization. This study attempts to bridge this gap by developing and proposing an integrative framework which focuses on identifying and examining the factors that contribute to the assessment of a firm's readiness to go green via IT-enabled virtualization. The framework is firmly grounded using three well-established IS theories: (a) technology-organization-environment, (b) process-virtualization, and (c) diffusion of innovation. It integrates these three theoretical lenses to utilize the strengths of each for assessing the potential for undertaking Green IT initiatives and the stages of Green IT implementation at the organizational level. The implications of the outcome of this study, both for the IS researchers and for the practicing managers are discussed. The plan for empirical testing and validation of our propositions is presented, as well as suggestions for future extensions of this study.
01 Nov 2000
TL;DR: This study introduces playfulness as a new factor that reflects the user’s intrinsic belief in WWW acceptance and extends and empirically validate the Technology Acceptance Model (TAM) for the WWW context.
Abstract: Ease of use and usefulness are believed to be fundamental in determining the acceptance and use of various, corporate ITs. These beliefs, however, may not explain the user’s behavior toward newly emerging ITs, such as the World-Wide-Web (WWW). In this study, we introduce playfulness as a new factor that reflects the user’s intrinsic belief in WWW acceptance. Using it as an intrinsic motivation factor, we extend and empirically validate the Technology Acceptance Model (TAM) for the WWW context. # 2001 Elsevier Science B.V. All rights reserved.