• The Journal of Industrial Distribution & Business
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• v.14 no.7
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• pp.1-7
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• 2023

Purpose: The present research is to explore and investigate the meaningful difference between job-based pay and skill-based pay in the current literature to shed light on the advantages and caveats of two compensation approach, providing direction for human resource practitioners looking to develop efficient and fair compensation plans. Research design, data and methodology: The methodology based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was used for this research. The PRISMA technique is generally considered the gold standard since it guarantees openness, repeatability, and rigor. Studies comparing salaries based on work duties versus those based on individual skills published in English and accepted for publication in peer-reviewed journals are eligible for inclusion. Results: According to the comprehensive literature analysis, the present research provides clear comparison between Job-based pay and skilled-based pay, pointing out a similarity and four differences (1. Criteria for pay determination, 2. Flexibility, 2. Job Scope, and 4. Career progression. Conclusions: The result of the current research implies that human resource professionals would be well to learn the effects of various compensation structures on career advancement, and suggests for them that employees can take advantage of chances to advance in their careers based on right compensation schemes.

• The Journal of Industrial Distribution & Business
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• v.14 no.8
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• pp.19-25
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• 2023

Using a procurement and construction stage emphasis on the capabilities of the Sub-Contractor (SC), the present research aims to discover the types of unfair activities between the Main Contractor (MC) and SC and their influence on project completion. This research also tries to figure out solutions which can reduce unfair activities between MC and SC. Research design, data and methodology: The qualitative textual analysis was selected for the current research and has been used by numerous previous researchers commonly to review relevant themes in the prior resources and suggested for researchers who conduct a reviewing procedure to analyze meta-analysis approach for figuring out better research findings from prior resources. Results: The result indicates the prevalence and consequences of bid shopping, emphasizing the need for transparency and fair bidding practices. Late payment issues were also found to be crucial for subcontractors' financial stability, urging the implementation of prompt payment legislation and agreements. Conclusions: In conclusion, the research revealed that subcontracting is common in construction projects, with general contractors relying on multiple subcontractors to carry out specific work items. The accomplishment of building projects hinges on the collaborative efforts between the main contractor (MC) and subcontractors (SCs), each focusing on different aspects of the project.

• The Korean Journal of Food & Health Convergence
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• v.9 no.5
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• pp.1-5
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• 2023

As the elderly population is rapidly increasing not only domestically but also globally, convenience foods for the elderly population are receiving attention. Therefore, the senior food market continues to grow rapidly both domestically and overseas. In relation to this, this study seeks to explore convenience food preferences through the growth status of the convenience food market and the demand for convenience food among the elderly population. We would like to consider various factors that influence the increase in convenience food consumption among the elderly population. This study uses meta-analysis and systematic literature research to find ways to revitalize the convenience food market targeting the elderly population. As a result of the analysis, it was mentioned that in order to revitalize the convenience food market for the elderly population, it is important to develop products with high nutritional value, suitable for the physical characteristics of the elderly population, and low price, and to consider convenience and accessibility. Through a multifaceted approach, we aim to increase the need for convenient food products that meet the needs of the elderly population, contribute to improving the health and well-being of the elderly, and further efficiently manage the health of the elderly nationally and globally.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.4
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• pp.11-18
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• 2023

Purpose - By filling the existing research hole and supplying a whole evaluation, this test wants to offer actionable insights for stakeholders navigating the intersection of sustainability and financial prosperity. Ultimately, this study contributes to the evolving speak on ESG, fostering a deeper comprehension of its implications for fostering sustainable economic increase. Research design, data, and methodology - Based on the numerous prior literature, the current study adopts a rigorous and systematic approach to discover the connection between Environmental, Social, and Governance (ESG) performance and its effect on a financial boom. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method is the guiding framework for systematically accumulating and analyzing earlier research studies. Result: The finding of this study indicates that using ESG-pushed innovation, practitioners can force technological advancements inside their respective industries. By combining sustainability with research and improvement tasks, corporations can be leaders in selling economic boom through current, green solutions. Conclusion - In summary, this study concludes that embracing those findings in this study allows practitioners and managers to enhance their organization's easy regular, well-known traditional regular standard overall performance and undoubtedly contribute to a broader financial boom via leveraging the transformative strength of ESG necessities.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.215-225
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• 2024

Predictive maintenance has been considered fundamental in the industrial applications in the last few years. It contributes to improve reliability, availability, and maintainability of the systems and to avoid breakdowns. These breakdowns could potentially lead to system shutdowns and to decrease the production efficiency of the manufacturing plants. The present article aims to study how predictive maintenance could be planed into the production scheduling, through a systematic review of literature. . The review includes the research articles published in international journals indexed in the Scopus database. 165 research articles were included in the search using #predictive maintenance# AND #production scheduling#. Press articles, conference and non-English papers are not considered in this study. After careful evaluation of each study for its purpose and scope, 50 research articles are selected for this review by following the 2020 Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA) statement. A benchmarking of predictive maintenance methods was used to understand the parameters that contributed to improve the production scheduling. The results of the comparative analysis highlight that artificial intelligence is a promising tool to anticipate breakdowns. An additional impression of this study is that each equipment has its own parameters that have to be collected, monitored and analyzed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.843-859
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• 2024

The university course scheduling problem (UCSP) aims at optimally arranging courses to corresponding rooms, faculties, students, and timeslots with constraints. Previously, the university staff solved this thorny problem by hand, which is very time-consuming and makes it easy to fall into chaos. Even some meta-heuristic algorithms are proposed to solve UCSP automatically, while most only utilize one single algorithm, so the scheduling results still need improvement. Besides, they lack an in-depth analysis of the inner algorithms. Therefore, this paper presents a novel and practical approach based on Tabu search and simulated annealing algorithms for solving USCP. Firstly, the initial solution of the UCSP instance is generated by one construction heuristic algorithm, the first fit algorithm. Secondly, we defined one union move selector to control the moves and provide diverse solutions from initial solutions, consisting of two changing move selectors. Thirdly, Tabu search and simulated annealing (SA) are combined to filter out unacceptable moves in a parallel mode. Then, the acceptable moves are selected by one adaptive decision algorithm, which is used as the next step to construct the final solving path. Benefits from the excellent design of the union move selector, parallel tabu search and SA, and adaptive decision algorithm, the proposed method could effectively solve UCSP since it fully uses Tabu and SA. We designed and tested the proposed algorithm in one real-world (PKNU-UCSP) and ten random UCSP instances. The experimental results confirmed its effectiveness. Besides, the in-depth analysis confirmed each component's effectiveness for solving UCSP.

• The Journal of Industrial Distribution & Business
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• v.15 no.5
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• pp.29-37
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• 2024

Purpose: Numerous prior researchers have identified only that sustainable management of ESG factors promotes business value creation and shapes enhanced innovation performance. This study aims to determine the positive relationships between ESG management and economic development, focusing on the mutual benefits and risks and the various stakeholders involved in managing change. Research design, data and methodology: This study selected the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement as a key methodology. Literature search used the following databases: Web of Science, Scopus, and Google Scholar. The quality assessment criteria for selected prior studies ranged from issues like design, sample size and the representativeness of the subjects, validity of measurements, and analytical strength. Results: The findings of this study indicates that there are four critical solutions for economic development triggers using ESG strategy, such as (1) ESG and Innovation-Driven Growth, (2) ESG and Human Capital Development, (3) ESG and Operational Efficiency, (4) ESG and Market Opportunities. This study insists that public-private partnerships are critical for enhancing sustainable economic development and meeting the needs of society. Conclusions: It is, therefore, important for governments and policymakers to play a critical role in setting the proper framework that allows for the uptake of ESG and an enabling environment for sustainable economic development.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.8
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• pp.2157-2177
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• 2024

Demand response (DR) refers to the customers' active reaction with respect to the changes of market pricing or incentive policies. DR plays an important role in improving network reliability, minimizing operational cost and increasing end users' benefits. Hence, the integration of DR in the microgrid (MG) management is gaining increasing popularity nowadays. This paper proposes a day-ahead MG scheduling framework in conjunction with DR and investigates the impact of DR in optimizing load profile and reducing overall power generation costs. A linear responsive model considering time of use (TOU) price and incentive is developed to model the active reaction of customers' consumption behaviors. Thereafter, a novel multi-swarm sine cosine algorithm (MSCA) is proposed to optimize the total power generation costs in the framework. In the proposed MSCA, several sub-swarms search for better solutions simultaneously which is beneficial for improving the population diversity. A cooperative learning scheme is developed to realize knowledge dissemination in the population and a competitive substitution strategy is proposed to prevent local optima stagnation. The simulation results obtained by the proposed MSCA are compared with other meta-heuristic algorithms to show its effectiveness in reducing overall generation costs. The outcomes with and without DR suggest that the DR program can effectively reduce the total generation costs and improve the stability of the MG network.

• Journal of Christian Education in Korea
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• v.67
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• pp.195-227
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• 2021

In a situation where it is difficult to plan face-to-face worship or assembly-type evangelism due to the continuation of the corona pandemic, it seems that evangelism is not a way to present the gospel, but to strengthen the gospel life. This is the era of evangelism as a spiritual care where the church can comfort those who are struggling and share the gospel naturally by accompanying them, and the time has come to set and practice various ministry directions that combine Christian education and counseling. At this time, this paper aims to analyze not only in the area of counseling, but also studies and papers on professional ministry through a convergence and complex approach between Christian education and counseling. This study focused on the papers on practical trials and cases. The research contents to be dealt with include the concept and understanding of counseling in Christian education, the application of counseling as various Christian education methods, and the development of programs necessary for the field. In addition, the purpose of this study is to analyze what kind of trend characteristics the subjects developed in advance show, what kind of trend characteristics research methodologies were used in the preceding studies, and what are the issues and tasks of Christian education and counseling based on the subject and method analysis. This study aims to analyze various influences on Korean society by meta-analyzing the discourse and issues of Christian education and counseling developed in the field of Christian education in Korea and suggest the convergence and direction of counseling in the field of Christian education in the future. First, many studies should be conducted to lay a systematic and clearer theoretical foundation for the convergence and complex approach of Christian education and counseling. Second, various studies on the understanding and psychological evaluation of learners based on psychology should be conducted. Finally, research on various counseling techniques should be conducted in Christian education counseling, and in particular, various studies on the application and practice of Christian education counseling using basic counseling theory should be conducted. The author also hope that studies on effectiveness verification based on utilization cases will be actively carried out to develop counseling programs that can help our neighbors who are struggling during the coronavirus era and provide direction for Christian education counseling.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.10
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• pp.4717-4737
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• 2017

Today, smart grids, smart homes, smart water networks, and intelligent transportation, are infrastructure systems that connect our world more than we ever thought possible and are associated with a single concept, the Internet of Things (IoT). The number of devices connected to the IoT and hence the number of traffic flow increases continuously, as well as the emergence of new applications. Although cutting-edge hardware technology can be employed to achieve a fast implementation to handle this huge data streams, there will always be a limit on size of traffic supported by a given architecture. However, recent cloud-based big data technologies fortunately offer an ideal environment to handle this issue. Moreover, the ever-increasing high volume of traffic created on demand presents great challenges for flow management. As a solution, flow aggregation decreases the number of flows needed to be processed by the network. The previous works in the literature prove that most of aggregation strategies designed for smart grids aim at optimizing system operation performance. They consider a common identifier to aggregate traffic on each device, having its independent static aggregation policy. In this paper, we propose a dynamic approach to aggregate flows based on traffic characteristics and device preferences. Our algorithm runs on a big data platform to provide an end-to-end network visibility of flows, which performs high-speed and high-volume computations to identify the clusters of similar flows and aggregate massive number of mice flows into a few meta-flows. Compared with existing solutions, our approach dynamically aggregates large number of such small flows into fewer flows, based on traffic characteristics and access node preferences. Using this approach, we alleviate the problem of processing a large amount of micro flows, and also significantly improve the accuracy of meeting the access node QoS demands. We conducted experiments, using a dataset of up to 100,000 flows, and studied the performance of our algorithm analytically. The experimental results are presented to show the promising effectiveness and scalability of our proposed approach.