Recently, many organizations such as companies or institutions have demanded induction of very large-scale workflow management system in order to process a large number of business-instances. Workflow vendors have focused on physical extension of workflow engines based on device-level clustering, so as to provide very large-scale workflow services. Performance improvement of workflow engine by simple physical-connection among computer systems which don't consider logical-level software architecture leads to wastes of time or cost for construction of very large-scale workflow service environment. In this paper, we propose workcase-based workflow architecture and implement a very large-scale workflow management system based on the architecture. We prove that software architectures to be applied on a workflow engine have an effect on scalability and performance through workcase response-time evaluation of our proposed system.
This study examines empirically whether appropriateness of training program, learning organization, and demographic factors enhance the effectiveness of training program for HRD in small and medium companies. The major findings are as follows: The appropriateness of training program, learning organization, and demographic factors of employee has a strong positive effect on the effectiveness of training program for human resource development and intent to participate in the training program in small and medium enterprise. The learning organization has a strong positive effect on the effectiveness of training program for human resource development and intent to participate in the training program in small and medium enterprise. Also effectiveness of training program for human resource development and intent to participate in the training program in small and medium enterprise is different according to demographic factors such as job type(blue collar job, office job, sales job), rank of job position, and the length of service in organization. The significant results of this study is that appropriate design of training program to make employees understand the purpose of education and trying to activate the learning organization can increase the effectiveness of traing program in small and medium enterprise.
Purpose - Based on complexity theory, this study develops a configurational model to predict the profitability of Halal cosmetics firms in the Indonesian and Malaysian markets. The proposed research model involves two level configurations-industry context and selling strategies-to predict high and low scores of a firm's profitability. The industry context configuration model comprises industry stability, product homogeneity, price sensitivity, and switching cost. Selling strategies include customer-focused, competitor-focused, and margin-focused approaches. Design/methodology - This is the first empirical study that calculates causal models using a combination of industry context and selling strategy factors to predict profitability. Data obtained from the marketing managers of cosmetics firms are used to test the proposed configurational model using fuzzy-set qualitative comparative analysis (fsQCA). It contributes to the current knowledge of business marketing by identifying the factors necessary to achieve profitability using analysis of condition (ANC). Findings - The results revealed that unique and distinct models explain the conditions for high and low profitability in the Indonesian and Malaysian halal cosmetic markets. While customer-focused selling strategy is necessary to attain a higher profit in both the markets, margin-focused selling strategy appears to be an essential factor only in Malaysia. Complexity of the interactions of selling strategies with industry factors and differences between across two study markets confirmed that complexity theory can support the research configurational model. The theoretical and practical implications are also illustrated. Originality/value - Despite the rapid growth of the global halal industry, there is little knowledge about the halal cosmetic market. This study contributes to the current literature of the halal market by performing a set of asymmetric analytical approaches using a complex theoretical model. It also deepens our understating of how the Korean firms can approach the Muslim consumer's needs to generate more beneficial turnover/revenue.
Many domestic and international countries recently apply the blockchain technology to its related application fields. Not the enterprise-centered economy, the concept of the sharing economy which is controlled by individuals has been expanded. However, the development of the necessary system to realize the sharing economy in the agricultural sector has still been insufficient. Because the agricultural machinery rental business in the recent agricultural policies is managed by the government and the local government keeps and provides limited quantities and resources, its operation system has several problems. In case of high-priced agricultural machines, the machines can not be supplied adequately at the right time due to the limited quantities during the busy farming season. This paper proposes the sharing system that individual owners rent their agricultural machinery to growers using the blockchain technology. Thus, the proposed system provides the distributed method to solve agricultural machines of a lack of resources and also gives the secure service to all the growers.
According to the Korean Statistical Information Service, the number of fatal occupational accidents per 100,000 workers is the highest in Korea, among all the OECD countries. The safety of construction workers is managed by the construction technology promotion act (CTPA) and the occupational safety and health act (OHSA). A review of the current safety management laws is required to improve them for the construction industry, where the numbers of accidents and deaths are constantly increasing. Accordingly, the aim of this study was to identify the problems in unclear business areas through comparison and analysis of the CTPA and OHSA guidelines and establish effective site-dependent construction safety management plans. The overlapping safety and health management terms and tasks of organizations were derived along with identifying the overlapping items of the safety management and hazard and risk prevention plans. Based on these results, several improvements for the design stage, safety cost, and safety education have been suggested in this paper. In addition, an improved model based on the integration and an optimized compromise between these two laws for safety management in areas where many accidents have occurred in recent years has been reported here.
Purpose: Waiting occured frequently in the service industry. Because waiting time is perceived as a loss by customers, perceived waiting time affects positive and negative responses to restaurants. If the waiting time is perceived as long, the waiting receptivity to accept the wait may also decrease. Therefore, restaurant stores need to increase waiting satisfaction so that customers can feel the waiting time shorter. Therefore, in this study, the effect of perceived waiting time and waiting satisfaction of customers visiting Taiwanese restaurant companies on waiting acceptability, emotions (positive and negative emotions) and satisfaction is investigated. Research design, data, and methodology: This study examines the structural relationship between perceived latency, waiting satisfaction, emotion, and satisfaction. To verify the purpose of this study, a research model and hypothesis were developed. The questionnaire items were modified and used according to the content of this study based on previous studies. All configurations were measured with multiple items tested and developed in previous studies. Data collected from 407 Taiwanese restaurant customers were analyzed using SPSS 22.0 and SmartPLS 3.0 programs. Confirmatory factor analysis was performed to measure the reliability and effectiveness of the measurement tool. Structural model analysis was performed to validate the study model. Results: The study results are as follows. Perceived waiting time was found to have a positive effect on negative emotions. In addition, it was found that waiting acceptability had a negative effect on negative emotions, and had a positive effect on positive emotions and customer satisfaction. Positive emotions were found to have a significant positive effect on customer satisfaction. Also, waiting satisfaction was found to have a positive effect as a moderating variable on the relationship between perceived waiting time and waiting acceptability. Conclusion: According to the results of this study, perceived waiting time was found to have a negative effect on eating out consumers. However, if the waiting time is satisfied, waiting time will increase the waiting time acceptability. Therefore, if customers are satisfied with the waiting environment by improving the quality of the waiting environment, it will be possible to establish a marketing *strategy* that stimulates the positive effect of the perceived waiting time.
Journal of the Korea Society of Computer and Information
/
v.26
no.2
/
pp.79-88
/
2021
In this paper, we propose a API Gateway technique for the expansion of human resource management module, one of the ERP functions. The institution has introduced ERP (Enterprise Resource Planning) based on its efforts to transform all human and physical resources into business competitiveness and its response to the digital knowledge informatization environment, and listed it as multiple success factors. Human resource management is one of the factors that have been dealt with. However, ERP's Human Resources Management Module remains in the role of functional personnel management. How to utilize human resources begins with navigating and recognizing human resources. The proposed API Gateway technique leverages blockchain networks to design and implement APIs for human resource sharing and navigation, including the possibility of extending ERP's human resource management module. Secondly, it was designed and implemented using a smart contract that behaves like an API for preventing information forgery. The proposed method will not only be used as a tool that can actively utilize human resources, but will also be a complete resource for utilizing big data technology.
This study sought to examine the sustainability criteria found in the global sourcing practices of global fashion retailers. Sustainable supply chain management, with a particular focus on the sustainability criteria of global sourcing, was analyzed. This qualitative study was based on a focus group interview and corporate social responsibility (CSR) annual reports. Eight master categories, 18 middle categories, and 37 bottom categories were extracted. The key categories and their middle categories were as follows: (1) Social compliance (working conditions, employment, safety); (2) Environment concerns (environmental pollution management, eco-friendly production, supply chain environment); (3) Energy efficiency (energy saving program, store environment); (4) Consumer protection (restricted substances management, consumer product safety improvement); (5) Management system (code of conduct, triangle audit system); (6) Community social activities (local community service, voluntary activities, charitable activities); (7) External stakeholder engagement (media & non-governmental organization management, maintenance of relationship with local authority); (8) Brand protection (respect for companies' intellectual property). The findings of this study offer academically significant insights into the sustainability criteria that can be encountered by companies under diverse global sourcing scenarios, revealing that global sourcing by fashion retailers is not merely a means of reducing costs, but a way of generating new jobs and making a social contribution to developing countries. The study's findings also have practical significance, offering guidelines for general CSR activities in the global sourcing process.
Purpose - This study aims to analyze the international marketing strategies of domestic medical institutions in the international medical market, and to determine whether such strategies increase international market share. With this approach, this study examines the impact of international marketing and social capital on international management performance through global competency and national image. It is hoped that this study can provide some insight on international marketing strategies. Design/methodology - In order to verify the research hypotheses, this study investigates medical institutions based in Incheon, Seoul, Gyeonggi Province, which provides medical services for foreigners. The target population is medical staff and interpreters in charge of administrative work, and a total of 194 copies were collected for 30 days. Of the collected questionnaires, a total of 171 copies were chosen for final analysis, excluding questionnaires with lack of information. Structural equations were used for analyzing the data by employing the R program. Findings - Our analysis suggests that international marketing and global competency performance have an effect on management performance. However, social capital appears to have no effect on global competency and management performance. Originality/value - Given the lack of research on international medical institutions, this study can be useful in the sense that it can help companies improve international marketing performance. Further, global competency was empirically proved to have a strong mediating effect that enhances total effect, while playing a mediating role between international marketing activities and management performance. This study is of great academic value in that it has comprehensively reviewed and systematized existing studies, and conducted empirical studies in the absence of domestic studies.
Purpose - This study aimed to clarify the effects of tax investigation probability on accounting transparency in KOSDAQ firms by using financial statement. In particular, it was analyzed whether the characteristics of a firm's listed market have a discriminatory effect on the relationship between the tax investigation selection rate (or detection rate) and earnings management. Design/methodology/approach - This paper examines analyzed the effect of tax investigation of the National Tax Service on the earnings management. The sample includes 9,603 firms listed on KOSPI and KOSDAQ from 2011 to 2018, all of which are manufacturing firms. This study conducted correlation and multiple regression analyses to verify the relationship between tax investigation probability and earnings management. The possibility of a tax investigation is the selection rate and the detection rate, and the profit adjustment was estimated at discretionary amount. Findings - As a result of empirical analysis, both firms listed on KOSPI and KOSDAQ markets showed that the higher the tax investigation rates, the more significant the possibility of reducing the earnings management of discretionary accruals. Additionally it was found that in KOSDAQ markets firms, the tax investigation detection rates had a signigicant nagative effect on discretionary accruals. Research implications or Originality - It can be interpreted that firms with a high rates of receiving a tax investigation decrease earnings management consideration of expenses such as additional tax amount due to the tax audit or a decline in corporate image.
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