• Management & Information Systems Review
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• v.30 no.4
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• pp.73-92
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• 2011

The purpose of this study was to investigate the differences of influence between luxury brand value and preferences according to consumers' regulatory focus. For data collection, research questionnaires were responded by females consumers living in Pusan and Ulsan. The collected data were analyzed according to the frequency-factor analysis using SPSS 14.0 for windows Package, the factor analysis using Varimax, reliability analysis, T-test, multi-regression analysis, and chow-test. The results were as follows: First, Based on an independent samples t-test, It was found that prevention-oriented respondents were significantly more qualify value and economic value than promotion-oriented respondents, promotion-oriented respondents were significantly more aesthetic value than prevention-oriented respondents. Second, concerning the worth of luxury brands that aesthetic value, qualify value, economic value, conspicuous value, and emotional value significantly affected the consumers' preference about luxury brand. On the other hand, only social value of the luxury brand did not have a significant effect on the consumers' preference about luxury brand. Second, the study was to investigate whether the luxury brand value has an effect on the brand preference depending on the consumer's regulatory focus. The results showed that there were different perceived values of luxury brand preference between the promotion-focused and the prevention-focused consumers. The promotion focus group had the effect on conspicuous value and emotional value, while the prevention focus group had the effect on quality value and economic value for luxury brand preference.

• The Journal of Information Systems
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• v.30 no.1
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• pp.65-84
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• 2021

Purpose Based on the development of artificial intelligence and big data technologies, the RegTech has been emerged to reduce regulatory costs and to enable efficient supervision by regulatory bodies. The word RegTech is a combination of regulation and technology, which means using the technological methods to facilitate the implementation of regulations and to make efficient surveillance and supervision of regulations. The purpose of this study is to describe the recent adoption of RegTech and to provide basic examples of applying RegTech to capital market regulations. Design/methodology/approach English-based ontology and deep learning technologies are quite developed in practice, and it will not be difficult to expand it to European or Latin American languages that are grammatically similar to English. However, it is not easy to use it in most Asian languages such as Korean, which have different grammatical rules. In addition, in the early stages of adoption, companies, financial institutions and regulators will not be familiar with this machine-based reporting system. There is a need to establish an ecosystem which facilitates the adoption of RegTech by consulting and supporting the stakeholders. In this paper, we provide a simple example that shows a procedure of applying RegTech to recognize and interpret Korean language-based capital market regulations. Specifically, we present the process of converting sentences in regulations into a meta-language through the morpheme analyses. We next conduct deep learning analyses to determine whether a regulatory sentence exists in each regulatory paragraph. Findings This study illustrates the applicability of RegTech-based ontology and deep learning technologies in Korean-based capital market regulations.

• Journal of the Korea Society of Computer and Information
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• v.14 no.11
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• pp.247-256
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• 2009

The purpose of this study is to compare the impact of intellectual quotient and social intelligence on compliance with the administrative regulatory policies. This study found two things. The first one is the correlation between intellectual quotient and social intelligence is not so high. No matter how high is his or her intellectual quotient may be, it cannot be said that his or her social intelligence will be high in proportion to IQ. The second one is the influence of social intelligence on administrative regulatory policies is bigger than that of intellectual quotient. So to execute a policy efficiently, we cannot succeed without consideration to the factors of social intelligence. The result of analysis implies that policy authorities and the concerned citizens should try to get the social intelligence factors involved in all processes of administrative regulatory policies such as agenda setting, decision, implementation, evaluation and feedback.

• KSBB Journal
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• v.24 no.3
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• pp.259-266
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• 2009

AfsR2 in Streptomyces lividans, a 63-amino acid protein with limited sequence homology to Streptomyces sigma factors, has been known for a global regulatory protein stimulating multiple antibiotic biosynthetic pathways. Although the detailed regulatory mechanism of AfsK-AfsR-AfsR2 system has been well characterized, very little information about the AfsR2-dependent down-stream regulatory genes were characterized. Recently, the null mutant of afsS in S. coelicolor (the identical ortholog of afsR2) has been characterized through DNA microarray system, revealing that afsS deletion regulated several genes involved in antibiotic biosynthesis as well as phosphate-starvation. Through comparative DNA microarray analysis of afsR2-overexpressed S. lividans, here we also identify several afsR2-dependent genes involved in phosphate starvation, morphological differentiation, and antibiotic regulation in S. lividans, confirming that the AfsR2 plays an important pleiotrophic regulatory role in Streptomyces species.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8462-8471
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• 2015

It is widely known that consumer satisfaction, as well as consumer voice and loyalty, affect firms' performance. Prior studies on consumer satisfaction have focused on expectancy disconfirmation theory and its effects on satisfaction related to disconfirmation with consumer expectation and with perceived performance. This study classified consumer expectation into should-expectation and will-expectation, and investigated how disconfirmation with these expectations affects consumer satisfaction differently based on regulatory focus. Specifically, for promotion-focused consumers, disconfirmation of will-expectation has a more significant influence on consumer satisfaction than that of should-expectation. For prevention-focused consumers, disconfirmation of should-expectation has a more significant influence on consumer satisfaction. The results of this study provide academic insights that not only generic expectation (will-expectation) but also should-expectation play an important role in determining consumer satisfaction according to regulatory focus. In addition, it is expected that the findings can be used as a guide to manage consumer expectation in practice.

• Management & Information Systems Review
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• v.32 no.3
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• pp.127-151
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• 2013

This research was to investigate the role of message regulatory focus on the advertising effect of multiple models. The multiple models are limited to two models in one advertisement in this research. This research investigated the hypothesis that multiple models, in terms of multiple source effect and social consensus, appears specifically to enhance the relationship of consumer and commercial models on the conditions of promotion-focused message which leads to the information processing of relational elaboration. This research applied a between-subjects factorial design targeting 2(the number of model: single model vs. multiple models) by 2(message regulatory focus: promotion-focused message vs. prevention-focused message). As a result, multiple models showed more positive ad attitude, brand attitude, and purchase intention than did single model. And promotion-focused message with multiple models showed more positive ad attitude, brand attitude, and purchase intention than did prevention-focused message with multiple models. Also there was an interaction effect between the number of model and the type of message regulatory focus. It wasn't fully supported that there is no difference of advertising effect between promotion-focused message and prevention-focused message on the condition of single model.

• Korean journal of communication and information
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• v.36
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• pp.109-132
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• 2006

It is difficult to found the concept of public interest properly, being ambiguous to distinguish media and service as to the convergence of broadcasting and telecommunications. Accordingly, it is necessary to found the concept of public interest not related to the character of media and service in the age of digital convergence. Therefore this study intended to re-found the concept of public interest, as to industrial changes in the age of convergence of broadcasting and telecommunications. The convergence of broadcasting and telecommunications causes the changes of value chain, which includes contents, platform, network, terminal. It could not help avoiding modifying the industrial structure of broadcasting and telecommunications, because of the changes of value chain. The changes of industrial structure needs the changes of ideology, regulatory policy, regulatory system, and it creates the foundation of new regulatory idea. The purpose of regulatory idea in the age of digital convergence is to practice public interest, and it is an ultimate purpose to increase consumers' welfare. Consequently, for increasing comsumer' welfare, it is necessary to achieve diversity, fairness, objectivity, the preservation of social value in the aspect of contents. Also in the aspect of platform, it is necessary to achieve the protection of privacy, consumer protection, harmful information blocking, and in the aspect of network, it is necessary to achieve the maintenance of secure network, fair competition. Finally, in the aspect of terminal, it is necessary to achieve the maintenance of compatibility, the solution for digital divide. Then regulatory policy of each value chain from a legal and institutional perspective, should be promoted to provide public interest, step by step.

• Food Science and Industry
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• v.51 no.3
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• pp.174-184
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• 2018

The impact of regulations on industrial activities is significant. Because the food industry has to observe given obligations and bear costs and expenses resulted from complying with applicable food safety regulations. Meanwhile, A government drafts the regulatory impact analysis report prior to enactment, amendment or reinforcement of any regulations. The analysis powered by objective and scientific methodologies enable a government to judge whether a particular regulation will be good or bad for the society. An effective policy implementation in practice and cost-bearing is entirely up to industries. Moreover, opportunity cost and actual cost relating to or arising from regulatory compliance will be estimated only by the respective industries. Therefore, the food Industry needs to collect and accumulate the said information and also to disseminate their hardships and financial burdens. Objective and practical information will encourage a government to set out regulatory frameworks that rational policy making.

• Analytical Science and Technology
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• v.34 no.3
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• pp.99-114
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• 2021

Substance identification is the first step in implementing chemical legislation, such that subsequent hazard and risk assessments can be accurately followed. Based on the web page and related guidance documents of the European Chemicals Agency and available consortia information, the procedure for substance identification carried out in Registration, Evaluation, Authorization and Restriction of Chemicals (REACH) is surveyed. In this study, the importance of substance identification and substance sameness check, as well as the necessity of generating a substance identity profile (SIP) are considered. In addition, the SIPs of several substance types are presented, which focused on information utilization in the instrumental analysis results and organization of information to generate the SIP. Analytical science can contribute to the accurate and effective implementation of chemical regulation at the starting stage of substance identification. However, understanding of the regulation and consequent final wrap-up of analytical results as a SIP should be followed for communication among registrants in Substance Information Exchange Forum (SIEF) as well as with related authorities.

• Journal of Distribution Science
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• v.20 no.6
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• pp.109-123
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• 2022

Purpose: This research presents a practical tool aimed at increasing collaboration between designers and marketers for effective retail space branding. We present a design-related information processing model (DIP Model), which is a schematic map that includes cognitive theories which have design applications to retail space branding. Research design, data and methodology: Through literature review and practitioner opinion survey, 43 theories pertaining to the brand communication in retail spaces were selected, and design applications of the theories were analysed through field trips to stores of global brands. Results: The DIP Model consists of two axes: the information processing axis (i.e., encoding vsretrieval) and the regulatory focus axis(i.e., promotion vs prevention). Theories related to information processing axis are theories that facilitate the encoding and retrieval of information as intended by the company. Theories related to regulatory focus axis are theories that reinforce positive cognition and prevent negative cognition regarding the brand. Conclusions: The DIP Model is developed as a tool to categorise cognitive theories that are applicable to the design of brand communication in retail spaces. As such, the model can provide a better understanding of the role of behavioural design, with the aim of building stronger brands in retail spaces.