Jinsoo Park

Seoul National University | SNU · College of Business Administration

Axiomatic Theories and Improving the Relevance of Information Systems Research This paper examines the fact that a significant number of empirical information systems (IS) studies engage in confirmative testing of self-evident axiomatic theories without yielding highly relevant knowledge for the IS community. The authors conduct both a horizontal a...

Proliferating applications of deep learning, along with the prevalence of large-scale text datasets, have revolutionized the natural language processing (NLP) field, thereby driving the recent explosive growth. Nevertheless, it is argued that state-of-the-art studies focus excessively on producing quantitative performances superior to existing mode...

This research proposes a novel method of measuring the dynamics of semantic relatedness. Research on semantic relatedness has a long history in the fields of computational linguistics, psychology, computer science, as well as information systems. Computing semantic relatedness has played a critical role in various situations, such as data integrati...

E-commerce is increasingly competitive and there is a constant need for new approaches and technology to facilitate exchange. Emerging techniques include the use of artificial intelligence (AI). One AI tool that has sparked interest in e-commerce is the automated negotiation agent (negotiation-agent). This study examines such agents, and proposes a...

Technological innovations over the years have accentuated the workings in corporate- connected organizations and different application platforms. Hence, a unified management information system (MIS) that can utilize the Web and propel programming developments is required. Software agents, the latest developments in computer software technology, can...

Conceptual modeling is well suited as a subject that constitutes the "core" of the Information Systems (IS) discipline and has grown in response to IS development. Several modeling grammars and methods have been studied extensively in the IS discipline. Previous studies, however, present deficiencies in research methods and even put forward contrad...

Previous studies on predicting the box-office performance of a movie using machine learning techniques have shown practical levels of predictive accuracy. Their works are technically- and methodologically-oriented, focusing mainly on what algorithms are better at predicting the movie performance. However, the accuracy of prediction model can also b...

Information systems (IS) is one of the most rapidly changing disciplines in the social science field, and it is currently facing a new academic shift. The prevailing concepts, such as big data and Internet of things (IoT), imply that there is a plethora of research opportunities for IS researchers. Since these opportunities lie mostly in conjunctio...

Conceptual modeling is currently considered a significant phase in information systems development. Several modeling grammars and methods have been studied extensively in the information systems discipline. However, previous research on conceptual models has focused on certain grammar (syntax) or discovering a way to deliver the meaning of a model...

This research proposes a novel method of measuring the dynamics of semantic relatedness. Research on semantic relatedness has a long history in the fields of computational linguistics, psychology, computer science, as well as information systems. Computing semantic relatedness has played a critical role in various situations, such as data integrati...

This paper tries to identify what shapes the mobile services industry and what changes will take place to the worldwide mobile business. Two case markets are introduced for comparison and analysis: Japan and Finland. Japan is an exemplar country where both the mobile subscription penetration rate and the revenue from data transfer are world record...

Two paradigms characterize much of the research in the Information Systems discipline: behavioral science and design science. The behavioral-science paradigm seeks to develop and verify theories that explain or predict human or organizational behavior. The design-science paradigm seeks to extend the boundaries of human and organizational capabiliti...

Semantic similarity/relatedness measure between two concepts plays an important role in research on system integration and database integration. Moreover, current research on keyword recommendation or tag clustering strongly depends on this kind of semantic measure. For this reason, many researchers in various fields including computer science and...

Conceptual modeling is a critical activity for developing successful business information systems. The objective of this study is to evaluate the possibility of applying the constant comparison method from the grounded theory to conceptual modeling. To achieve the objective, we trained novice modelers and split them into two groups for evaluation....

Information sharing behavior in the Internet has raised much interest. Recently, social network sites provide a new information sharing channel for the users who want to connect with others based on common social background or tastes. Especially, we focus that a social network site becomes one of major routes for information sharing about socially...

The information space of the Semantic Web has different characteristics from that of the World Wide Web (WWW). One main difference is that in the Semantic Web, the direction of Resource Description Framework (RDF) links does not have the same meaning as the direction of hyperlinks in the WWW, because the link direction is determined not by a voting...

Conceptual modeling is an important step for successful system development. It helps system designers and business practitioners share the same view on domain knowledge. If the work is successful, a result of conceptual modeling can be beneficial in increasing productivity and reducing failures. However, the value of conceptual modeling is unlikely...

This paper proposes a cooperative query answering approach that relaxes query conditions to provide approximate answers by utilizing similarity relationships between data values. The proposed fuzzy abstraction hierarchy (FAH) represents a similarity relationship based on the integrated notion of data abstraction and fuzzy relations. Based on FAH, t...

Web applications are becoming increasingly complex, just as they are required to perform more and more sophisticated functions. They often are integrated with existing applications and frequently utilize various functional logic and software components. This has led to a call for a more inclusive and comprehensive method for developing Web-based ap...

This paper presents an adaptive agent-based framework for knowledge sharing. The framework supports semantic-based knowledge retrieval and filtering through the usage of ontologies, case-based reasoning, and genetic algorithms. First, the concept of ontologies is applied to build users' profiles and resolve semantic conflicts among multiple knowled...

The Seoul National University Business School (SNUBS) consists of two sub-organizations, the College of Business Administration (CBA) and the Graduate School of Business (GSB). The former, taking control of undergraduate, master, and doctorate programs, has been the main body of the SNU Business School. The latter, newly established at the dawn of...

Ontology reuse is recommended as a key factor to develop cost-effective and high-quality ontologies because it could reduce development costs by avoiding rebuilding existing ontologies. Selecting the desired ontology from existing ontologies is essential for ontology reuse. Until now, much research on ontology selection has focused on lexical-level...

The information space of the Semantic Web has different characteristics from that of the World Wide Web WWW. One main difference is that in the Semantic Web, the direction of Resource Description Framework RDF links does not have the same meaning as the direction of hyperlinks in the WWW, because the link direction is determined not by a voting pro...

This article presents an experimental design and the pilot experiment results of applying grounded theory to conceptual data modeling. The objective of this study is to develop a procedural method for concept discovery, which is essential in data modeling. The research focuses on addressing the lack of procedural methods for understanding domain kn...

This paper proposes a cooperative query answering approach that relaxes query conditions to provide approximate answers by utilizing similarity relationships between data values. The proposed fuzzy abstraction hierarchy (FAH) represents a similarity relationship based on the integrated notion of data abstraction and fuzzy relations. Based on FAH, t...

Ontologies are a key component of the Semantic Web; thus, they are widely used in various applications. However, most ontologies are still built manually, a time-consuming activity which requires many resources. Several tools such as ontology editing tools, ontology merging tools, and ontology extraction tools have therefore been proposed to speed...

Ontologies have provided supports in integrating heterogeneous and distributed information. More and more ontologies and tools have been developed in various domains. However, building ontologies requires much time and effort. Therefore, ontologies need to be shared and reused among users. Specifically, finding the desired ontology from an ontology...

A clearly-defined and well-structured methodology can reduce ontology development time and increase the possibility of the project success. However, there exists no mature knowledge engineering methodology for ontology developments. Nevertheless, METHONTOLOGY, known as one of the best methodologies, has been adopted in several ontology developments...

The Web is evolving toward the Semantic Web. Ontologies are considered as a crucial component of the Semantic Web since it is the backbone of knowledge representation for this Web. However, most of these ontologies are still built manually. Manual building of an ontology is time-consuming activity which requires many resources. Consequently, the ne...

Ontologies have become increasingly important in many areas. Building ontology, however, is a time-consuming activity which requires many resources. Consequently, the need for the automatic ontology extraction tool has been increased for the last two decades, and many tools have been developed for this purpose. Yet, there is no comprehensive framew...

Identifying higher-level interface elements with which the user interacts on an e-business application should not be an arbitrary task. Unlike conventional applications, Web-based ones provide information and/or functions with the user via clickable links. These unique characteristics of Web-based applications call for a more methodical approach to...

Interoperability is the most critical issue facing businesses that need to access information from multiple information systems. Our objective in this research is to develop a comprehensive framework and methodology to facilitate semantic interoperability among distributed and heterogeneous information systems. A comprehensive framework for managin...

While e-commerce has proliferated with the growth of the Internet, there have been insufficient research efforts concerning its status in Korea. The United States, in contrast, has made significant efforts in making empirical research on the consumer's adoption of e-commerce. This paper validates the e-Commerce Adoption Model (e- CAM) on the two co...

Two paradigms characterize much of the research in the Information Systems discipline: behavioral science and design science. The behavioral-science paradigm seeks to develop and verify theories that explain or predict human or organizational behavior. The design-science paradigm seeks to extend the boundaries of human and organizational capabiliti...

Establishing semantic interoperability among heterogeneous information sources has been a critical issue in the database community for the past two decades. Despite the critical importance, current approaches to semantic interoperability of heterogeneous databases have not been sufficiently effective. We propose a common ontology called semantic co...

The proliferation of the Internet has led to increasing semantic heterogeneity on the World Wide Web. Networking technology provides physical connectivity, but it does not ensure meaningful data exchange. Therefore, semantic interoperability among heterogeneous information sources continues to pose enormous challenges to the database and other comm...

E-business management is an on-going process of understanding consumer needs and developing online solutions to meet those needs To be effective in today's competitive environment of e-commerce, e-businesses cannot afford to neglect justifying the return on investment (ROI) of their online operations. Ideally, companies would like to understand how...

Schema integration is one of the most difficult issues in the heterogeneous and distributed geographic database systems (GDSs). As the use of spatial information in various application areas becomes increasingly popular, the integration of geographic information has become a crucial task for decision makers. Most existing schema integration techniq...

The Internet has dramatically changed how people sell and buy goods. In recent years we have seen the emergence of electronic marketplaces that leverage information technology to create more efficient markets such as online auctions to bring together buyers and sellers with greater effectiveness and at a massive scale. A potential threat to the eff...

The unprecedented growth of Internet technologies has made resources on the World Wide Web instantly accessible to various user communities through digital libraries. Since the early 1990s, there have been several digital library initiatives sponsored by government agencies and/or private organizations all over the world. A digital library is a net...

Natural resource management is an important issue that uses large amounts of spatial and temporal data. It is risky to predict the consequences of resource management decisions without accurately understanding the interaction of ecosystems over a large region. A geographical information system describes objects from the real world in terms of locat...

An abstract is not available.

The mobile service market is entering the stage of saturation while experiencing some challenges such as debts from spectrum auctions, a saturated subscriber base and commitments to build new network infrastructure. A provider cannot succeed in this competitive market unless it is creating values and involving in relations with other service provid...