• Journal of Venture Innovation
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• v.7 no.1
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• pp.41-57
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• 2024

This study analyzed the relationship between the level of the venture environment, the benefits of the venture business verification system, internal capabilities, and management performance through the actual data of domestic venture companies collected in the Venture Business Precision Survey. As a result of the empirical analysis, the level of venture infrastructure did not affect the company's capabilities, but it was found that the venture company confirmation system had a positive effect. In the case of corporate competency, it was found that it had a positive effect on technological performance, but had no effect on sales performance. However, the research results confirmed that internal competency mediates the relationship between the venture environment level and the benefits of the venture business confirmation system and business performance. This study has the implications of confirming a series of processes leading to competency and performance in the environment using data from actual venture companies, and confirming the importance of corporate competency. In addition, since we confirmed the effect of the environmental factors of the venture environment level and the venture business confirmation system on the internal performance, if the process is introduced in the later reorganized venture business confirmation system, we will examine the factors that can enhance the performance of venture businesses. A more precise check is expected.

• Asia pacific journal of information systems
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• v.18 no.1
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• pp.79-96
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• 2008

One of the roles of the Semantic Web services is to execute dynamic intra-organizational services including the integration and interoperation of business processes. Since different organizations design their processes differently, the retrieval of similar semantic business processes is necessary in order to support inter-organizational collaborations. Most approaches for finding services that have certain features and support certain business processes have relied on some type of logical reasoning and exact matching. This paper presents our approach of using imprecise matching for expanding results from an exact matching engine to query the OWL(Web Ontology Language) MIT Process Handbook. MIT Process Handbook is an electronic repository of best-practice business processes. The Handbook is intended to help people: (1) redesigning organizational processes, (2) inventing new processes, and (3) sharing ideas about organizational practices. In order to use the MIT Process Handbook for process retrieval experiments, we had to export it into an OWL-based format. We model the Process Handbook meta-model in OWL and export the processes in the Handbook as instances of the meta-model. Next, we need to find a sizable number of queries and their corresponding correct answers in the Process Handbook. Many previous studies devised artificial dataset composed of randomly generated numbers without real meaning and used subjective ratings for correct answers and similarity values between processes. To generate a semantic-preserving test data set, we create 20 variants for each target process that are syntactically different but semantically equivalent using mutation operators. These variants represent the correct answers of the target process. We devise diverse similarity algorithms based on values of process attributes and structures of business processes. We use simple similarity algorithms for text retrieval such as TF-IDF and Levenshtein edit distance to devise our approaches, and utilize tree edit distance measure because semantic processes are appeared to have a graph structure. Also, we design similarity algorithms considering similarity of process structure such as part process, goal, and exception. Since we can identify relationships between semantic process and its subcomponents, this information can be utilized for calculating similarities between processes. Dice's coefficient and Jaccard similarity measures are utilized to calculate portion of overlaps between processes in diverse ways. We perform retrieval experiments to compare the performance of the devised similarity algorithms. We measure the retrieval performance in terms of precision, recall and F measure? the harmonic mean of precision and recall. The tree edit distance shows the poorest performance in terms of all measures. TF-IDF and the method incorporating TF-IDF measure and Levenshtein edit distance show better performances than other devised methods. These two measures are focused on similarity between name and descriptions of process. In addition, we calculate rank correlation coefficient, Kendall's tau b, between the number of process mutations and ranking of similarity values among the mutation sets. In this experiment, similarity measures based on process structure, such as Dice's, Jaccard, and derivatives of these measures, show greater coefficient than measures based on values of process attributes. However, the Lev-TFIDF-JaccardAll measure considering process structure and attributes' values together shows reasonably better performances in these two experiments. For retrieving semantic process, we can think that it's better to consider diverse aspects of process similarity such as process structure and values of process attributes. We generate semantic process data and its dataset for retrieval experiment from MIT Process Handbook repository. We suggest imprecise query algorithms that expand retrieval results from exact matching engine such as SPARQL, and compare the retrieval performances of the similarity algorithms. For the limitations and future work, we need to perform experiments with other dataset from other domain. And, since there are many similarity values from diverse measures, we may find better ways to identify relevant processes by applying these values simultaneously.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.2
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• pp.1-8
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• 2012

The primary goal of this study is to develop proper performance indicators for evaluating the results of industrial R&D program. We define R&D results include output, transfer, outcome, and impact in the performance of R&D program. Performance indicators are focused on the results of R&D commercialization, building the industrial foundations as performance proxy of R&D program of Ministry of Knowledge Economy. And we first try to design the coupled structure as logical model between R&D program goals and performance indicators. The coupled structure is represented with objectives of group unit of R&D program, implementation process, R&D practical stage, and the ultimate goal of R&D program.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.278-286
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• 2021

The aim of this paper is to examine the importance of skills development in the process of employee performance. As part of this research, we will seek to determine the nature and extent of skills development impact in improving employee performance. This research project is one of the new themes that some researchers have started in recent years. The novelty of this theme is the inclusion of the skill development factor. This factor is likely to have a positive impact on employee motivation and performance. Some of the factors already known to have an impact on employee performance, such as motivation, career development, training, and experience, will be adopted. It is assumed that the results of this research will have a positive impact on employee performance and employee retention.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.1
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• pp.28-40
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• 2024

Maintaining the permanence of a company in the current rapidly changing business environment is not an easy task. Rather, the lifespan of a company can be said to be gradually decreasing. As such, the author of this paper, which describes the current market environment, is the sales organization of a large company. While leading the company, I thought about how to overcome the rapidly changing market and create an organization that continues to grow. As a result, I succeeded in creating an organization that continued to grow over the past two years, and the main activity of this result was the use of sales computer. It was clear that it was an information sharing activity. This can be said to be a result of proving that a series of activities to create and share information is important for the sales organization of ICT companies to actively respond to the rapidly changing market environment. Therefore, this study attempted to examine the relationship between knowledge management and business performance in the sales field of ICT companies, which has not been covered so far. Knowledge management is a four-stage activity from a process perspective, divided into knowledge creation, knowledge storage, knowledge transfer, and knowledge utilization. did. As a result of the study, first, knowledge management activities, such as knowledge creation and knowledge storage, were found to have a significant impact on financial performance. Second, knowledge management activities such as knowledge creation, knowledge storage, knowledge transfer, and knowledge utilization were all found to have an impact on non-financial performance. In the end, this study confirmed that efforts to turn tacit knowledge into knowledge in order to respond to the ever-changing ICT market are ultimately an important factor in growing a company.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.151-158
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• 2015

The purpose of this study to understand collaborative process and the capabilities of the firm impact on innovation performance in convergence environment. To achieve the purpose, research model was empirically tested with a survey from 162 employees from 4 Korea manufacturing companies and 1 USA company. The data obtained from the survey were analyzed using Partial Least Squares (PLS). As a result, collaboration process, learning capability and operation capability have significant and positive impact on innovation performance. It is a meaningful result that the collaboration process improve the innovation performance of firms through the operation capability and the learning capability.

• Knowledge Management Research
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• v.3 no.1
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• pp.41-60
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• 2002

This paper defines measurement index items and weight of the index for the purpose of developing a performance measurement index that balancedly measures performance of B2B electronic commerce. The deductive research is used for the development of measurement index items and Analytic Hierarchy Process(AHP) method for the development of weight of the index. This paper has four performance measurement perspectives-finance, partners, business process and human resources, which based the existing researches of balanced performance measurement. This researchers developed eleven second level criteria and twenty-six indexes under four perspectives through the deductive method and expert interviews, weighted on the perspectives, criteria and indexes in accordance with the forms of e-marketplace-vertical and horizontal. As a result, the most important indexes are the maintenance of partners and the efficiency of operation process in the vertical e-marketplace. In the horizontal e-marketplace, the collection of partners, development and prediction processes are more important than other indexes.

• Journal of Korea Entertainment Industry Association
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• v.15 no.2
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• pp.1-10
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• 2021

The purpose of this study is to explore a significant HPWS(High Performance Work System) model for the entertainment industry. HPWS is one of the most studied themes for managing human resources as well as a set of practices to elicit employees' commitment to an organization. Recently, the entertainment industry is growing rapidly, but it is difficult for entertainment firms to retain a stable profit unlike the manufacturing industry. This is because the performance of entertainment business tends to rely heavily on the capabilities and synergy of human resources. In order to suggest a systematic way to manage these, this research identified an effective HPWS model for entertainment business and provides a competitive advantage to entertainment firms, using ANP(Analytic Network Process). ANP is a multicriteria decision making technique that allows dependences and feedbacks among decision elements in the hierarchical or network structures in a holistic manner. The pairwise comparison data that prioritized the criteria of HPWS was collected from 28 team leaders in entertainment firms. According to our results, the most critical factor for HPWS in entertainment business is "employee involvement in decision-making." The sub-factors such as "open communication," "distributive decision-making," and "performance-driven reward" have a greater effect. These findings could provide implications for entertainment firms to determine which practices should be taken into account to accomplish HPWS.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.43-50
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• 2011

The scope of the problems that could be solved by monitoring and the improvement of the recognition time is directly correlated to the performance of the management function of the business process. However, the current event-managing monitoring system and the real-time advanced alarming business monitoring system decided whether to apply warnings or not by assuming a fixed environment and showing expressions based on the design rules. Therefore, there is a limit for distinguishing the range of occurrence and the level of severity in regard to the new external problems occurring in a complicated environment. Such problems cannot be abstracted. In this paper, evaluation model of business process contextual situations using goal scenario is suggested to provide constant services through the current monitoring process in regard to the service demands of the new scenario which occurs outside. The new demands based on the outside situation are analyzed according to the target scenario for the process activities. Also, a similar process model is found and identified by combining similarity and interrelationship. The process can be stopped in advance or adjusted to the wanted direction.

• The Research Journal of the Costume Culture
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• v.17 no.1
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• pp.177-188
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• 2009

SCM as the important marketing strategy enhance the firm's efficiency and compatibility in global market environment such as global outsourcing. Firms adopted SCM realized the need to evaluate precisely the performance of SCM. In spite of importance of SCM, there was not much intention and research to measure SCM performance in textile fashion industry. Therefore, the purpose of this case study was to measure performance of supply chain management in textile fashion business using BSC(Balanced Score Card) to measure not only financial perspective but also non-financial perspectives such as customer perspective, internal business perspectives, financial perspective, and innovation & learning perspective. The questionnaire developed by the reviews of the literature was adopted for this study. The results of this study showed that SCM performance was enhanced from the point of customer perspective(cost, quality, time, service), financial perspective(cash cycle time, inventory turn over, inventory obsolescence, return on asset, return on investment, capacity utilization), and innovation & learning perspective(cost for human resource management, service for human resources). But there was same performance level regarding internal business perspective(lead time, cost for manufacturing process, product quality control, productive flexibility for time, quantity, and variety). Therefore, we should keep close relationship and two way communication among supply chain members to promote better SCM performance.