• The Journal of Information Technology and Database
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• v.3 no.2
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• pp.97-118
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• 1996

Information systems quality engineering is one of the most problematic areas in practice and research, and needs cooperative efforts between practice and theory [Glass, 1996]. A model for evaluating the quality of system development process and ensuing success is proposed based on information processing theory of project unit design. A nomological net among a set of quality variables is identified from prior research in the areas of organization science, software engineering, and management information systems. More specifically, system development success was modelled as a function of project complexity, system development modelling environment, user participation, project unit structure, resource availability, and the level of iterative nature of development methodology. Based on the model developed from the information processing theory of project unit design in organization science. appropriate quality metrics for each variable in the proposed model are matched. In this way, a framework of relevant systems development and success quality metrics for controlling systems development processes and ensuing success is proposed. The causal relationships among the constructs in the proposed model are proposed as future empirical research for academicians and as managerial tools for quality managers. The framework and propositions help quality manager to select more parsimonious quality metrics for controlling information systems development processes and project success in an integrated way. Also this model can be utilized for evaluating software quality assurance programmes, which are developed and marketed by many vendors.

• Journal of Korean Academy of Nursing
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• v.48 no.5
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• pp.521-533
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• 2018

Purpose: The aims of this study are to provide a theoretical framework for improving the self-care of adults with severe hypertension and to examine the practical suitability of a middle-range theory of self-care for chronic illness by validating the structural model. Methods: Data were collected at a university hospital in D metropolitan city from July 1 to August 14, 2015. A total of 224 Korean adult patients with severe hypertension were recruited. Data were analyzed using SPSS 22.0 and AMOS 22.0. Results: The results show that the fit index of the hypothetical model meets the recommended level; 7 out of 8 hypothetical model paths were statistically significant. Motivation, self-efficacy, support from others, and accessibility to care showed statistical significance and explained 67.3% of the self-care process. The self-care process explained 45.3%, 63.6%, and 26.5% of quality of life, health, and illness stability, respectively. Conclusion: This model can be used as a theoretical framework for improving self-care among adult Korean patients with severe hypertension. Moreover, the practical suitability and validity of the middle-range theory of self-care for chronic illness is secured.

• Journal of Korea Trade
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• v.25 no.4
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• pp.88-107
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• 2021

Purpose - Using a model that highlights Ricardian comparative advantage and Cournot competition, I derive theoretical predictions on how bilateral measures of trade intensity, specialization, and intra-industry are interrelated, and how Ricardian productivity differences affect these measures. We test the predictions using trade and production data, and confirm them. Design/methodology - A simple two-country general equilibrium model is constructed to derive theory-based bilateral indexes. We then test the relationships among them using panel data for 35 countries and 14 industries between 1996 and 2008. Findings - Bilateral trade intensity is increasing in specialization, as in the classical trade theory, and in intra-industry trade, as in the new trade theory. However, productivity differences positively affect specialization, and negatively affect intra-industry trade. These effects cancel each other; thus productivity differences have little impact on trade intensity. Originality/value - This paper provides a comprehensive conceptual framework for understanding the relationship among trade intensity, specialization, intra-industry trade, and productivity differences. We derive theory-consistent measures of specialization, intra-industry trade, and productivity differences. Moreover, we reevaluate the empirical relevance of these variables for the study of gravity equations. This paper is also an effort to capture oligopolistic competition in a general equilibrium framework, interests in which recently resurged.

• Asia pacific journal of information systems
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• v.29 no.4
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• pp.615-643
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• 2019

Now is the time for IS scholars to demonstrate the added value of academic theory through its integration with text mining, clearly outline how to implement this for text mining experts outside of the academic field, and move towards establishing this integration as a standard practice. Therefore, in this study we develop a systematic theory-based text-mining framework (TTMF), and illustrate the use and benefits of TTMF by conducting a text-mining project in an actual business case evaluating and improving hotel service quality using a large volume of actual user-generated reviews. A total of 61,304 sentences extracted from actual customer reviews were successfully allocated to SERVQUAL dimensions, and the pragmatic validity of our model was tested by the OLS regression analysis results between the sentiment scores of each SERVQUAL dimension and customer satisfaction (star rates), and showed significant relationships. As a post-hoc analysis, the results of the co-occurrence analysis to define the root causes of positive and negative service quality perceptions and provide action plans to implement improvements were reported.

• Korean Journal of Computational Design and Engineering
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• v.10 no.5
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• pp.349-355
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• 2005

This paper concerns about how and why design frameworks for optimization should consider various software development environments such as MATLAB, VB, VBscript, Python, Tcl, PHP, Perl, and JAVA. The frameworks can be utilized by many engineers who have a basic concept about the optimization theory and/or basic knowledge about the computer programming languages. The framework will integrate a number of remote CAE tools, automatically execute them for design optimization, and have the capabilities of post-processing of data such as objective functions, state variables and design variables using a third-party spreadsheet program like Excel. The prototype framework developed in this study will be applied to various examples of optimization problems and show the validity of the proposed method of a framework implemenation.

• Journal of the Korean Home Economics Association
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• v.38 no.9
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• pp.19-32
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• 2000

The purpose of this study was to discuss previous studies and theories on family business. This study were to examine the dominant trends in the precious research, and to introduce several conceptual frameworks and models, such as family business theory, family resource management theory, theory of household adjustment and adaptation, and family business viability model. This study will be helpful in understanding of the relationship between family and business, and the work-family interface, and in developing policies and programs that assist family business and enhance the well-being for family members who are involved in family business.

• Journal of the Korean Operations Research and Management Science Society
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• v.19 no.2
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• pp.153-176
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• 1994

In this paper we introduce machine learning theory to business domains for business decisions. First, we review machine learning in general. We give a new look on a previous framework, version space approach, and we introduce PAC (probably approximately correct) learning paradigm which has been developed recently. We illustrate major results of PAC learning with business examples. And then, we give a theoretical analysis is decision tree induction algorithms by the frame work of PAC learning. Finally, we will discuss implications of learning theory toi business domains.

• Research in Mathematical Education
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• v.9 no.3 s.23
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• pp.233-241
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• 2005

Mathematics has developed dramatically in today's world and come to be increasingly put into practical use in various fields in society. However, many Japanese students dislike mathematics. We have to study mathematics education with this situation in our mind. When we consider a better educational material, we don't have to consider only within the framework of the current school mathematics. We can expect to find good mathematical materials in fields beyond the school mathematics. In this paper, we study how the inclusion of idea such as 'fuzzy theory' and 'graph theory' influences pupils' approaches to learning mathematics.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.8
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• pp.2222-2240
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• 2023

Brand fandom refers to a collection of consumers with strong emotions toward a brand. Studying the dynamics of brand fandom can help brands understand which services or strategies influence their consumers to become a part of brand fandom. However, existing literature on fandom in the last three decades has mainly used qualitative methods, and there is still a lack of research on fandom using quantitative methods. Specifically, previous studies lack a framework for locating fandoms from online textual data and analyzing their dynamics. This study proposes a framework for exploring brand fandom dynamics based on online textual data. This framework consists of four phases based on the design thinking model: Preparing Data, Defining Fandom Categories, Generating Fandom Dynamics, and Analyzing Fandom Dynamics. This framework uses techniques such as social network analysis and process mining, combined with brand personality theory. We demonstrate the applicability of this framework using case studies of two Korean home appliance brands. The dataset contains 14,593 posts by consumers in 374 online communities. The results show that the proposed framework can analyze brand fandom dynamics using textual customer data. Our study contributes to the interdisciplinary research at the intersection of data-driven service design and consumer culture quantification.

• Journal of the Korean Geographical Society
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• v.49 no.4
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• pp.601-614
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• 2014

The purpose of this study is to investigate high school students' geographic misconceptions and their mechanisms of formation. Three main theories explaining why students develop misconceptions exist: 1) framework theory, 2) p-prim(phenomenological primitive) theory, and 3) categorization theory. This study chose three target geographic concepts, or, 1st and 2nd mountain ranges, secondary central business district and satellite city, and the Nopsae wind and the F$\ddot{o}$hn phenomenon. Then, this research explored students' typical misconceptions regarding these concepts and attempted to examine which theory explains the misconception forming processes most well. As a result, the following misconceptions were found. First, students understood that the numbers 1 and 2 denote the order of the formation of mountain ranges. Second, despite differences in their main functions, students tended to subsume the secondary central business district and satellite city under one functional category. Third, students believed that the Nopsae wind and the F$\ddot{o}$hn phenomenon are identical in hierarchy. This study explained students' creation of these misconceptions by applying the categorization theory in which students located a concept in an inappropriate location of an ontology tree.