• Title/Summary/Keyword: business management expert

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Earnings Management Associated with Types of CEO Turnover in Public Institutions (공공기관의 경영자 교체유형과 이익조정 행태와의 관련성)

  • Jang, Ji-Kyung
    • The Journal of the Korea Contents Association
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    • v.17 no.1
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    • pp.213-221
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    • 2017
  • This study examines the influence of CEO(Chief Executive Officer) turnover on earnings management in public institutions. We classified sample into four portfolios based on the joint types of departing CEO(Forced/Voluntary) and incoming CEO(Expert/Nonexpert), and we explore whether earnings management are distinguishable depending on the types of CEO turnover. Empirical findings are summarized as following. The different patterns of earnings management are observed for each portfolio in the turnover year. In particular, when departing CEO leaves the company forcibly and incoming CEO is an expert in that business, there is an evidence of downward earnings management in the turnover year. This means that the incoming CEO takes a bath in his first year by recording big charges to shift blame for failed management on to the predecessor. The results documented in this paper provide an important implication for diverse interest groups participating in the CEO turnover decisions at the present time when normalization of management of public institutions is viewed more important than ever.

The Perception of Corporate Management Experts on Corporate Counseling A Study on Marketing Mix for Revitalization (기업상담에 대한 기업경영 전문가의 인식과 활성화를 위한 마케팅믹스 연구)

  • Na, Sang-Hun;Shin, Dong-Yeol
    • Industry Promotion Research
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    • v.7 no.3
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    • pp.1-8
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    • 2022
  • Many companies are operating and introducing the research results that corporate counseling contributes to corporate profits and improves the effective welfare of workers. This study was conducted targeting business management experts. As a research question, first, is there a difference in perception among business management experts about business counseling? Second, what is an important marketing 7P mix for revitalizing corporate counseling? Third, there will be differences in the importance of the 7P mix for marketing among business management experts. The results of the quantitative study are as follows. First, business management experts had a positive perception about the intention and necessity of corporate counseling, and marketing was higher than production management by field. The consultation model prefers an external model, and medium-sized enterprises and small and medium-sized enterprises are selected as target companies, and service and manufacturing industries are selected as target industries. The topics are recognized as interpersonal relationships and job stress. Second, price mix, product mix, people mix, and process mix are recognized as important marketing mixes, but companies consider the price mix the most important. Third, there was a difference between corporate management experts in the promotion mix and process, and marketing recognized the promotion mix as important and the process mix was important for financial management. However, there is no difference in the mixes by field except for this, so it can be said that the perception of the marketing mix is similar. Through this study, it is meaningful to present the implications of the marketing mix for awareness and activation of corporate counseling from the corporate point of view.

Identification and Prioritization of the Driving Factors of Labor Productivity in the Melli Bank: Iranian Scenario

  • Bahrami, Mostafa;Salehi, Mahdi;Akbarzadeh, Mohsen;Morsali, Alireza
    • The Journal of Industrial Distribution & Business
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    • v.4 no.1
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    • pp.5-10
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    • 2013
  • Purpose - Labor productivity is extremely important to the profitability and competitive advantage of organizations that provide services to customers, such as banks. This study investigates the factors driving labor productivity in Iran's Melli Bank. Research design, data, methodology - Five managerial, psychosocial, cultural, and individual factors are identified and their relative importance for labor productivity prioritized using AHP. The required data are then collected through a questionnaire designed for a pairwise comparison of the driving factors of labor productivity and their subcategories. Results - The study outcomes reveal that the managerial and individual factors are the most important. Specifically, the most important factors in increasing labor productivity in the branches of Melli Bank are having a competent supervisor, promotion opportunities, fair working conditions, conscientiousness, the right tools, and a correspondence between skills and work. Conclusions - Implementing AHP using Expert Choice software revealed that, among the driving factors of labor productivity (i.e., managerial, psychosocial, cultural, environmental, and personal), managerial factors were considered the most important by the respondents.

A Comparative Study on the Industrial Cluster Cases for Job Creation from the Viewpoint of Sustainability and Open Innovation (SW일자리 창출을 위한 지속가능성과 개방형 관점에서의 산업클러스터 사례 비교 분석)

  • Lim, Gyoo Gun;Lee, Ji Yoon;Choi, Jinho
    • Korean Management Science Review
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    • v.34 no.2
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    • pp.85-101
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    • 2017
  • Currently, the SW industry is the center of digital economy and it is very important industry in terms of market scale and ripple effect. Due to the suffering from poor working environment of the SW industry and the disproportion of manpower supply due to the lack of experienced SW manpower, it is hard to create jobs of high quality for the SW professionals who can be applied to various convergence industries. In this study, we try to analyze the benchmarking cases of successful foreign industrial innovative clusters in order to promote sustainable development direction of SW industry and to create high quality SW jobs. First, the comparison criteria are derived from the viewpoint of creation of high quality SW jobs through an analysis of SW environment by using expert FGI (Focus Group Interview) technique. The critical success factors (CSFs) are derived by comparing and analyzing each industrial cluster cases in terms of SW job creation. This article presents the desirable implications of the cluster of SW industry that can generate SW jobs continuously from the viewpoint of ecosystem environment infrastructure. Through this study, we propose a meaningful direction of SW clusters for job creation, and solve the business inconsistency and suggest ways to increase the sustainability of core competence manpower.

Economic Valuation of Public Sector Data: A Case Study on Small Business Credit Guarantee Data (공공부문 데이터의 경제적 가치평가 연구: 소상공인 신용보증 데이터 사례)

  • Kim, Dong Sung;Kim, Jong Woo;Lee, Hong Joo;Kang, Man Su
    • Knowledge Management Research
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    • v.18 no.1
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    • pp.67-81
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    • 2017
  • As the important breakthrough continues in the field of machine learning and artificial intelligence recently, there has been a growing interest in the analysis and the utilization of the big data which constitutes a foundation for the field. In this background, while the economic value of the data held by the corporates and public institutions is well recognized, the research on the evaluation of its economic value is still insufficient. Therefore, in this study, as a part of the economic value evaluation of the data, we have conducted the economic value measurement of the data generated through the small business guarantee program of Korean Federation of Credit Guarantee Foundations (KOREG). To this end, by examining the previous research related to the economic value measurement of the data and intangible assets at home and abroad, we established the evaluation methods and conducted the empirical analysis. For the data value measurements in this paper, we used 'cost-based approach', 'revenue-based approach', and 'market-based approach'. In order to secure the reliability of the measured result of economic values generated through each approach, we conducted expert verification with the employees. Also, we derived the major considerations and issues in regards to the economic value measurement of the data. These will be able to contribute to the empirical methods for economic value measurement of the data in the future.

Psychosocial Risks: Is Risk Management Strategic Enough in Business and Policy Making?

  • Langenhan, Melissa K.;Leka, Stavroula;Jain, Aditya
    • Safety and Health at Work
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    • v.4 no.2
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    • pp.87-94
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    • 2013
  • Background: In times of continuous change and volatile markets, organizations are increasingly characterized by downsizing, work intensification, and resource rationalization. This has resulted in diversification, and the emergence of newrisks within the field of occupational health and safety, with an important impact. This paper focuses on one such type of risk in the modern workplace-psychosocial risks. The current study aimed to explore stakeholder perspectives, regarding the extent to which psychosocial risks are incorporated into strategic risk management practices, at both the business and policy level. Methods: Semi-structured interviews were conducted with 14 professionals, representing employer, expert, policy maker, and trade union stakeholder perspectives. Results: It was found that the majority of organizations do not sufficiently, if at all, understand and incorporate psychosocial risks into strategic decision making, whereby the key barrier related to practical difficulties of not knowing how to manage psychosocial risks adequately. Conclusion: The study found that there is a need to close the gap between policy and practice on a number of levels. Future recommendations comprise a policy framework and infrastructure underpinned by educational initiatives, partnerships, and networks to drive a shift in attitudes toward recognizing the duality of the concept of risk (including both potential negative and positive outcomes) and moving beyond simple regulatory compliance.

Development of Green Economy via Commercialization of Green Technologies: Experience of Kazakhstan

  • Mukhtarova, Karlygash S.;Zhidebekkyzy, Aknur
    • The Journal of Asian Finance, Economics and Business
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    • v.2 no.4
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    • pp.21-29
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    • 2015
  • Green technologies are essential tools to ensure sustainable development of the economy. In this regard, the article deals with analysis of the development tendency of green economy in Kazakhstan emphasizing commercialization of green technologies. In the first part of the study, authors investigated more than 50 official sources of information, including laws, concepts, programs, events and reviews of major international organizations. The study's methodological basis included Kazakhstan's legislative and regulatory Acts, state programs and Concept for transition to Green economy, and data about innovations in the field of green technologies. Six experts were interviewed in order to determine factors which interfere to commercialization of green technologies. Urgent problems and trends of development, challenges and obstacles to gain green economy have also been identified in the result of expert interviewing. The research shows that despite Kazakhstan's intentions to update and develop much of its infrastructure over the coming 20 years, inefficient use of resources is currently observed in every sector. It is necessary to encourage scientists and entrepreneurs to invent and commercialize new green technologies. That would be basis for successful implementation of transition from "brown" to green economy.

Dynamic Knowledge Map and RDB-based Knowledge Conceptualization in Medical Arena (동적지식도와 관계형 데이터베이스 기반의 의료영역 지식 개념화)

  • Kim, Jin-Sung
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2004.04a
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    • pp.111-114
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    • 2004
  • Management of human knowledge is an interesting concept that has attracted the attention of philosophers for thousands of years. Artificial intelligence and knowledge engineering has provided some degree of rigor to the study of knowledge systems and expert systems(ES) re able to use knowledge to solve the problems and answer questions. Therefore, the process of conceptualization and inference of knowledge are fundamental problem solving activities and hence, are essential activities for solving the problem of software ES construction Especially, the access to relevant, up-to-date and reliable knowledge is very important task in the daily work of physicians and nurses. In this study, we propose the conceptualization and inference mechanism for implicit knowledge management in medical diagnosis area. To this purpose, we combined the dynamic knowledge map(KM) and relational database(RDB) into a dynamic knowledge map(DKM). A graphical user-interface of DKM allows the conceptualization of the implicit knowledge of medical experts. After the conceptualization of implicit knowledge, we developed an RDB-based inference mechanism and prototype software ES to access and retrieve the implicit knowledge stored in RDB. Our proposed system allows the fast comfortable access to relevant knowledge fitting to the demands of the current task.

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A Priority Analysis of Card Customer Churn Factors Using AHP : Focusing on Management Support, Card Recruitment, Customer Service Personnel's Perspective (AHP를 이용한 카드고객 이탈 요인의 우선순위 분석 : 경영지원·카드모집·고객서비스 집단을 중심으로)

  • Lee, Jungwoo;Song, Young-gue;Han, Chang Hee
    • Journal of Information Technology Services
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    • v.20 no.4
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    • pp.35-52
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    • 2021
  • Nowadays data-based decision making is emerging as the center of the business environment paradigm, but many companies do not have data-driven decision-making systems. It has also been studied that using an expert's intuition in decision making can be more efficient in terms of speed and cost, compared to analytical decision making. The goal of this study is to analyze customer churn factors using a group of experts within a financial company from the viewpoint of decision-making efficiency. We applied a debit card 'A', product of the National Credit Union Federation of Korea. The churn factors of all the financial expert groups were examined. Also. the difference in each group (management support, card recruitment, customer service group) was analyzed. We expect that this study will be helpful in the practical aspects of managers whose environments is lack data-oriented infrastructure and culture.

Derivation and Implications of Digitalizing Key Construction Supervision Work: Focusing on the Construction Supervision Work of the Domestic Construction Sites

  • Chan Hyuk Park;Seong Mi Kang
    • Architectural research
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    • v.25 no.1
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    • pp.11-17
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    • 2023
  • This study aims to derive key construction supervision work that can be digitalized among construction supervision work. The scope of the study includes domestic construction sites to which the Building Act of South Korea is applied. First, the construction supervision process was identified through extensive consultation of construction expert witnesses. Afterwards, the key construction supervision works for digitization were derived through survey results construction expert witnesses. Among the 24 supervision works throughout the pre-construction, construction, and post-construction stages, the proportion of supervision work manpower or cost, the type of data generated by supervision work and the urgency of introducing digital technology, and the impact on productivity and safety of supervision work were evaluated on a 5-point scale from "very low" to "very high" was investigated. The survey was conducted by t-test analysis, and as a result, it was possible to derive that the level of digitization was higher than average in "quality management," "safety management," and "collection and cooperation of maintenance instructions." It can be interpreted that digitization has been introduced on a pilot testing basis or has already been completed according to the needs of the site. On the other hand, it can be interpreted that the work that are obtained below the average score are considered to be realistically constrained at the construction site and that it is inevitable for the supervisor to proceed manually. Future studies include analyzing the quantitative impact of the key construction supervision work once digitalization is fully applied.