• Asia Marketing Journal
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• v.17 no.1
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• pp.27-53
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• 2015

Learning organization has been an important issue in both management and marketing areas. Also learning capability is a key construct of innovation process in a firm. Especially, in marketing context, several researchers have studied market-based learning and its relation with performance. Previous studies have shown that market-based learning has a positive impact on overall firm performance. However, there has been inconsistency in the concept of market-based learning itself and its relationships with antecedents and consequences. Given this conflicting and inconsistent results of previous research, this study has two main objectives. First, this paper proposed a conceptual framework that marketbased learning has two types of processes and each types of market-based learning will generate different types of performance. Second, the mediating role of marketing capability in learning-performance link is proposed. The proposed conceptual framework shows that organizations which have marketbased learning for innovation management can enjoy ambidextrous firm performance on both side of effectiveness and efficiency via marketing capability. Moreover our research model proposes key drivers of market based organizational learning.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.111-115
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• 2001

A good business performance measurement system is an effective tool io sustained growth in profits. Although interest in creating performance measurement models is widespread, a well-designed system is rare. To be successful in today's competitive environment, a performance measurement system should incorporate strategic success factors and contain financial and non-financial measuring index to carry out strategic management. In the 1990s, Kaplan & Norton introduced a concept called the Balanced Scorecard. The Balanced Scorecard supplements traditional financial measures with criteria that measured performance from three additional perspectives - those perspectives of customers, internal business processes, and learning and growth. This paper presents five measuring index criteria for each perspective. To calculate the relative priority for These measuring index, we investigate weights investigated by interviews with management consultant. Then, AHP method is employed for calculating priority weight. Our evaluation model may be referred to as the Balanced Analytic Hierarchical Performance Model(BAHPM) in the sense that the analytic hierarchical scheme, along with the AHP, is applied. The BAHPM is the first kind of analytical model to cover a wide variety of measures. In comparison with previous evaluation models, our model shows strengths in structural flexibility, ease of incorporating feedback, group evaluation capacity, participation promotion, sensitivity analysis, and computational simplicity. A prototype based on the BAHPM can be applied to various industry sectors.

• Korean Management Science Review
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• v.32 no.4
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• pp.97-108
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• 2015

This study proposes a mathematical model to estimate the economic value of weather forecast service, among which the precipitation forecast service is focused. The value is calculated in terms of users' satisfaction or dissatisfaction resulted from the users' decisions made by using the precipitation probabilistic forecasts and thresholds. The satisfaction values can be quantified by the traditional value score model, which shows the scaled utility values relative to the perfect forecast information. This paper extends the value score concept to a collective value score model which is defined as a weighted sum of users' satisfaction based on threshold distribution in a group of the users. The proposed collective value score model is applied to the picnic scenario by using four hypothetical sets of probabilistic forecasts, i.e., under-confident, over-confident, under-forecast and over-forecast. The application results show that under-confident type of forecasts outperforms the others as a measure of the maximum collective value regardless of users' dissatisfaction patterns caused by two types of forecast errors, e.g., miss and false alarm.

• Asia pacific journal of information systems
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• v.25 no.2
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• pp.265-288
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• 2015

IT convergence services, as the main stream of the digital age, are currently on their way to include the concept of Software as a Service (SaaS), where IT products and services are integrated as one. In particular, the recently introduced web-service-based SaaS is expected to be a more developed SaaS model. This new model provides greater influence on clients' job performances than its previous models, such as application service providers and the web-native phase. However, the effects of technology maturity on task performance have been overlooked in adoption and performance studies. Accordingly, this study introduces SaaS technology maturity as the exogenous technological characteristic influencing job performance. This study also examines the relationships among various SaaS-related performances according to the different levels of SaaS maturity. Results suggest that applying innovative technologies (such as SaaS), particularly when the technology reaches a certain level of maturity, is more helpful for managers in improving task-technology fit and job performance. This study makes an academic contribution by establishing and validating a performance model empirically with SaaS technology maturity perspectives.

• Korean Journal of Construction Engineering and Management
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• v.5 no.2 s.18
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• pp.202-210
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• 2004

Under the current competitive business environment, the complexity of procurement method, and the lack of engineering capacity in the construction engineering industry, a construction engineering firms require the business strategy and its performance measurement system. This study suggests a performance measurement model that could follow 'H' construction engineering firm's vision and strategy. The model utilizes the concept of Balanced Scorecard. The study proposes the four main performance perspectives such as financial, growth, internal efficiency, and improvement & learning through the long-term strategy analysis, SWOT analysis, and interviews of the employees. Also the study develops the critical success factor and the key performance indicators. The usefulness of the performance measurement model is validated through the gap analysis such as alignment analysis and consensus analysis.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.8
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• pp.3457-3472
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• 2020

The rapid change in the financial market has led to a shift to relationship marketing, which emphasizes relationships with existing customers rather than creating new ones. Therefore, to achieve competitive advantage in the market, assessing service quality and relationship quality has become an important tool for financial institutions. The widely applied five dimension model has shown problems of dimensions overlapping and blurring with each other, which results in the lack in providing the marketer with practical administrative implications. Therefore, a three dimensional model, composed of interaction quality, physical environment quality and outcome quality, that could be applied in general to various service industries and, at the same time, categorized into service quality dimensions that are not ambiguous for marketers to manage has been utilized. As a result, in the case of Korean consumers, interaction quality, physical environment quality, and outcome quality were shown to have positive effects on customer satisfaction and customer loyalty. For Brazilian consumers, physical environment quality and outcome quality were shown to have positive effects on customer satisfaction and customer loyalty. Also, a median effect of customer satisfaction was found. This paper reviews the concept and dimensions of service quality and relationship quality, as well as verifying the structural relationship between the two variables through empirical analysis. Through the results of the analysis, the paper compares the differences between two distinctive countries and present theoretical and academic implications.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.3
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• pp.158-164
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• 2007

Supply Chain Management (SCM) system is a critical investment that can affect the competitiveness and performance of a company. Selection of a right SCM system is one of the critical issues. This paper presents the characteristic factors of SCM system and a Fuzzy AHP (Analytic Hierarchy Process) based decision-making model for SCM system evaluation and selection. This study focuses on quantitative factors, applying the fuzzy concept to various evaluative factors. The proposed model can systematically construct the objectives of SCM system selection to achieve the business goals. A empirical example demonstrates the feasibility of the proposed model and the model can help a company to make better decision-making in the SCM system selection problem.

• IE interfaces
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• v.19 no.4
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• pp.291-299
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• 2006

In order to enhance sustainable war fighting capabilities, it is important to maintain a good ammunition support system. In this paper, we evaluate the performance of ammunition companies using Imprecise Data Envelopment Analysis (IDEA)-BCC and IDEA-Additive model, which can deal with imprecise data in DEA. The input variables of IDEA models were selected by stepwise multiple regression analysis. With the regression model, we could choose the number of soldiers, officers, and ammunition warehouses as input variables that have significant effects on the output performance. Then, we applied the IDEA-BCC model with the concept of potential efficiency. The results of the model indicate that 8 out of 16 ammunition companies are efficient, 7 are inefficient, and 1 is potentially efficient. We could also identify the possible input excesses and output shortfalls to reach the efficient frontier using the IDEA-Additive model.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.12
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• pp.2489-2497
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• 2009

The objective of this research is to get the lesson of the policy by searching the factors of technology acceptance focused on u-Health system. For the purpose of this research, this study presented the concept of u-Health and literature review associated with technology acceptance. Also, this research analyzed the factors affecting 'acceptance of u-Health system'. As a result of the analysis, the first factor affecting acceptance of u-health system is 'self-efficacy' and the second factor is 'connecting'. These results showed characteristics of the innovative aspects and the 'anytime and anywhere' in the ubiquitous concept. Therefore, considering these factors when developing with the priority of u-health system will be able to increase the likelihood of business revenue.

• Hwankyungkyoyuk
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• v.24 no.3
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• pp.56-77
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• 2011

The purpose of this study is to explore the casual relationship between expanded self-concept including self-esteem and self-congruity with various variables of pro-environmental psychology and green consumer behavior simultaneously by using the model of structural equation. Results of the study showed that independent self-construals only affected pro-environmental psychology and dependent self-construals did not affect pro-environmental psychology and green consumer behavior, while metapersonal self-construals affected both pro-environmental psychology and green consumer behavior. Consumers with independent self-construals in strong individualistic tendency had an affirmative thoughts about environment friendliness while consumers considerate of others with dependent self-construals in strong collective tendency showed low pro-environmental psychology and green consumer behavior, which was interesting findings. In regards to the effect of metapersonal Self-construal on pro-environmental psychology, it was analyzed that lower consumer self-esteem increased pro-environmental psychology, and also when self-congruity was low, metapersonal Self-construal had a positive effect on green consumer behavior.