This study aims to develop a comprehensive predictive model for Digital Quality Management (DQM) and to analyze the impact of various quality activities on different levels of DQM. By employing the Classification And Regression Tree (CART) methodology, we are able to present predictive scenarios that elucidate how varying quantitative levels of quality activities influence the five major categories of DQM. The findings reveal that the operation level of quality circles and the promotion level of suggestion systems are pivotal in enhancing DQM levels. Furthermore, the study emphasizes that an effective reward system is crucial to maximizing the effectiveness of these quality activities. Through a quantitative approach, this study demonstrates that for ventures and small-medium enterprises, expanding suggestion systems and implementing robust reward mechanisms can significantly improve DQM levels, particularly when the operation of quality circles is challenging. The research provides valuable insights, indicating that even in the absence of fully operational quality circles, other mechanisms can still drive substantial improvements in DQM. These results are particularly relevant in the context of digital transformation, offering practical guidelines for enterprises to establish and refine their quality management strategies. By focusing on suggestion systems and rewards, businesses can effectively navigate the complexities of digital transformation and achieve higher levels of quality management.

As platforms become primary decision making tools, platforms for decision have been introduced to improve quality of decision results. Because, decision platforms applied augmented decision-making process which uses experiences and feedback of users. This process creates a variety of alternatives tailored for users’ abilities and characteristics. However, platform users choose alternatives before considering significant quality factors based on securing decision quality. In real world, platform managers use an algorithm that distorts appropriate alternatives for their commercial benefits. For improving quality of decision-making, preceding researches approach trying to increase rational decision -making ability based on experiences and feedback. In order to overcome bounded rationality, users interact with the machine to approach the optional situation. Differentiated from previous studies, our study focused more on characteristics of users while they use decision platforms. This study investigated the impact of quality factors on decision-making using platforms, the dimensions of systematic factors and user characteristics. Systematic factors such as platform reliability, data quality, and user characteristics such as user abilities and biases were selected, and measuring variables which trust, satisfaction, and loyalty of decision platforms were selected. Based on these quality factors, a structural equation research model was created. A survey was conducted with 391 participants using a 7-point Likert scale. The hypothesis that quality factors affect trust was proved to be valid through path analysis of the structural equation model. The key findings indicate that platform reliability, data quality, user abilities, and biases affect the trust, satisfaction and loyalty. Among the quality factors, group bias of users affects significantly trust of decision platforms. We suggest that quality factors of decision platform consist of experience-based and feedback-based decision-making with the platform's network effect. Through this study, the theories of decision-making are empirically tested and the academic scope of platform-based decision-making has been further developed.

There has been a steady rate of accident in Coal Thermal Power Plants which have relatively higher chance of mortality. However, neither the systematic view of safety management nor the methodology such as safety factors or system requirements are yet to be studied in detail. Therefore, this study aims to propose a methodology to preemptively deal with safety issues and to secure fact focused responsibility in safety. It consists of two main parts. First, the Safety Measurement Index(SMI) with total 50 factors is proposed by analyzing the key factors that contribute to safety accidents based on failure mode and effect analysis (FMEA) and quality function deployment (QFD). To analyze the safety requirements, index presented by major countries and organizations are discussed. Second, main features of intelligent CCTV are studied to determine their relative importance for the framework of Smart Safety Management System (SSMS). Main features are discussed with four technological steps. Also, QFD was held to analyze to analyze how key technologies deal with Quality Measurement Index(QMI). The research results of this study reveal that scientific approaches could be utilized in integrating CCTV technologies into a smart safety management system in the era of Industry 4.0. Moreover, this reasearch provides an specific approach or methodology for dealing with safety management in Coal Thermal Power Plant.

The purposes of this study are first to identify the core competences of design leadership and second to propose the characteristic and effective leadership capabilities required in the design field. To propose the capabilities of reliable and meaningful core competency of design leadership, we identified core competencies through a group of experts from the top group of design leaders (Design executives, head of the design institute) rather than using a survey study based on unspecified designers. In addition, the unique interview method, AI (Appreciated Inquiry) was also used to share the actual experiences and philosophies of the interviewers, regardless of the core competencies. This study revealed that the core competences of design leadership were different from those of conventional general leadership and MOT (Management of Technology) leadership capabilities. Besides, it provided opportunities for leaders in other fields to understand and collaborate on characteristics of the design field, while demonstrating the necessity and justification of unique leadership traits in the field of design.

Competitiveness of small and medium companies often rely on the competency of their employees. Many employees however try to move to better environments if possible, which results in high uncertainty in maintaining solid human resources. The purpose of this paper is to investigate the influencing factors of turnover intention and organizational loyalty of the early experienced, especially three to five years experienced, employees in the small and medium enterprises. A survey had been conducted using both LMX (Leader Member eXchange) and TMX (Team Member eXchange) as an effort to test the impact of strategic human resource management factors on turnover intension and organizational loyalty. It has been observed that the level of LMX is critical on the turnover intension, while the levels of LMX and TMX are positively related to the organizational loyalty. Especially significant mediation effect affects on the organizational loyalty for TMX via LMX in the serial structure. The human resource management factors become effective under the circumstances where leader and team members exchange activities are activated. These findings can be used in reducing turnover intention and increasing organizational loyalty of early experienced employees by enhancing the leadership training of middle level managers of the small and medium enterprises organizations. Besides, a set of active communication channels should be provided for the young employees so that they can share their work experiences and difficulties within the organization. The key results of this study may help the practitioners set up a management plan to maintain a low turnover rate for their organizations.

The enterprise life cycle derived from the product life cycle consists of introduction, growth, maturity and decline. The enterprise tries to reach the growth stage early and stay at the maturity stage stably through expanding its businesses and investing for the new technology. The public enterprise is not different but its life cycle is more prone to be affected by the national development and policy. A typical example can be found in the case of the quasi market SOC public enterprise which spends massive amount of fund to provide social infrastructure. After the fulfillment of its mandated mission it is exposed to the pressure of a merger or a closure usually because large portion of the debt is directly linked to the national financial stability and credit ratings. This research is focused on the variables that influence the life cycle of the quasi market SOC public Enterprise for its future competitiveness is in connection with its normalization, advancement and rationalization. In this respect, categorical variables system centering on public characteristics and profitability drew eight categorical variables such as policy outcomes, public benefit, finance and business values etc.

The purpose of this research is to identify and develop technology protection plans for small and medium-sized enterprises (SMEs) by analyzing past technology leakage patterns which were experienced by SMEs. We identified factors which affect the technology leakage, and analyzed patterns of the influences using a data mining algorithms. A decision tree analysis showed several significant factors which lead to technology leakage, so we conclude that preemptive actions must be put in place for prevention. We expect that this research will contribute to determining the priority of activities necessary to prevent technology leakage accidents in Korean SMEs. We expect that this research will help SMEs to determine the priority of preemptive actions necessary to prevent technology leakage accidents within their respective companies.

This study investigates the current status of the green growth policies of Korean public corporations and proposes some potential improvement ideas. A set of twenty global green trends are first elicited by using classified macro trends of environmental changes. The green trends are categorized into four key issues based on which domestic and international research efforts are compared. The management performance reports of Korean public corporations are then throughly analyzed to evaluate the validity of their strategic green tasks in relevant to the global green trends. Finally, we suggest some potential government policies for enhancing the existing green growth businesses of public corporations.

In this study, we focus to suggest the direction of future development upon analyzing the actual conditions of green growth businesses of public corporations and the strategic problems. First, by using classified macro trends of global environmental change, we will examine the related 20 green trends. Green trends are synthesized with four key issues and we will look closely these issues of home and abroad. we analyze the strategic tasks outlined in management performance reports 2011 of public corporations and will look at its relation to global green trends. Based on the results of this analysis, we will suggest the direction of future development of green growth strategy which is required for public corporations.

  Most organizations have recently put more emphasis on the improvement in service quality. This phenomenon could come from the recognition that service quality plays an essential role in enhancing organization"s business performance. Hence this paper pre

As quality becomes a primary leading factor of organizational success, various management strategies have been In-troduced to Improve quality competitiveness Quality competitiveness, however, is difficult to measure and numerous organ-izations are struggl

Recently, numerous government institutions and information service organizations have shown interests in employing ISO 9001 Quality Management System to increase their organizational performances. However, due to the gap between the system requirements and the process oriented goals in reality, they have not been able to merit from the ISO 9001 system. The primary goal of this paper is to propose a process oriented approach for implementing ISO 9001 system in information service organizations. This approach is different from the existing approaches in that it utilizes process mapping and 3-color improvement strategies. The proposed approach is illustrated using the K information service organization case study.

Today''s database system needs to collect huge amount of questionnaire that results from development of the information technology by the internet, so it has to be administrable. However, there are many difficulties concerned with finding analytic data or