• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.211-219
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• 2021

This study examines the determinant influence of competence: motives, traits, self-concept, knowledge, and skills on work behavior and work effectiveness in government officials. The research was conducted on government officials in the province of South Kalimantan, Indonesia. This research is qualitative in nature, including the population of government apparatus in regencies and municipalities in the South Kalimantan province of Indonesia. The number of respondents in this study was 250 people. The sampling technique used purposive sampling, and Data analysis has been done using Structural Equation Model (SEM). The results showed a significant and positive influence on the determinants of competence, namely motives, traits, self-concept, knowledge, and skills on work behavior and work effectiveness of government officials; the determinant influence of competence showed a direct and indirect effect. This study also shows a mediating effect of work behavior between the determinants of competence (motives, traits, self-concept, knowledge, and skills) on the work effectiveness of government officials. This study's results are expected to provide suggestions to local governments in the South Kalimantan province of Indonesia to conduct performance appraisals for government officials apart from the performance appraisal methods that have been implemented.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.827-839
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• 2021

The aim of the study was to examine the effect of trust, awareness, attitude, subjective norms, and behavioural control on intention and examine the mediating role of trust in the relationship between awareness and attitude. The population was Muslims in Bali Province, with a sample of 150 respondents. Quantitative analysis is used based on multivariate analysis using the SEM model with a variance-based PLS. The results are as follows: (1) knowledge has a significant positive effect on attitude. (2) Awareness has no significant effect on attitude. (3) Awareness has a significant positive effect on trust. (4) Trust has a significant positive effect on attitude. (5) Attitude has no significant effect on intention. (6) Subjective norm has a significant positive effect on intention. (7) Behaviour control has a significant positive effect on intention. (8) The role of trust is a conscious mediation that impacts attitude. The study provides insight into Islamic bank managers to meet prospective customers' expectations and identify their intention to become customers through managing trust, awareness, attitude, subjective norms, behavioural control, and intention in one unified whole as internal resource. This study enriches empirical evidence on the Theory of Planned Behaviour, which examines knowledge, awareness, and belief.

• Korean small business review
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• v.43 no.4
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• pp.117-154
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• 2021

With the arrival of the Internet age, which is characterised by interconnection, the importance of networks is increasing in entrepreneurial activities and networked incubation (NI) has emerged as a mainstream concept in business incubation (BI). However, detailed studies on operation models of NI have been scarcely conducted. In this respect, this paper suggests a knowledge-focused networked incubation (KNI) model optimised for the study BI was established by theoretical analysis, and has been applied. The initial diagnosis of the effectiveness of the KNI model was also conducted through descriptive statistics, case studies, and the Industrial Depth Interview (IDI). This study is significant in that it has elaborated an NI operation model that meets the down-to-earth needs of incubatees and also is universally applicable.

• The Journal of the Korea Contents Association
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• v.10 no.7
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• pp.63-69
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• 2010

This research does focus on supporting all of formal, or informal learning at real time. From industry or education field, learning training is according to worker's current situation or business context. And according to worker's current situation, or business flow, 3D immersion knowledge visualization is effective in the individual ability and the learning progress For this, workers listen to compound knowledge coaching advices at real time. Therefore we developed the realistic 3D based knowledge retrieval method to identify and retrieve multidimensional relation easily.

• Proceedings of the Korea Contents Association Conference
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• 2003.05a
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• pp.327-332
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• 2003

This paper is to outline a methodology for establishing the fair market value of knowledge assets that may be associated with a going-concern business enterprise and identify the elements of knowledge assets and provide the basic concepts for valuing thorn Within this contort we will identify the nature of some of the more common or well-know forms of knowledge assets, discuss the normal relationship of these forms of knowledge assets to the monetary and tangible assets of a business enterprise from an investor's perspective.

• The Journal of Society for e-Business Studies
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• v.7 no.1
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• pp.75-86
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• 2002

In this study, we proposed design issues and structure of a web mining system and develop a system for the purpose of knowledge integration under world wide web environments resulted from our developing experiences. The developed system consists of three main functions： 1) gathering documents utilizing a search agent; 2) determining similarity coefficients between any two documents from term frequencies; 3) clustering documents based on similarity coefficients. It is believed that the developed system can be utilized for discovery of knowledge in relatively narrow domains such as news classification, index term generation in knowledge management.

• Journal of Intelligence and Information Systems
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• v.1 no.2
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• pp.57-71
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• 1995

This paper presents a rule extraction algorithm RE to acquire explicit rules from trained neural networks. The validity of extracted rules has been confirmed using 6 different data sets. Based on experimental results, we conclude that extracted rules from RE predict more accurately and robustly than neural networks themselves and rules obtained from an inductive learning algorithm do. Rule extraction algorithm for neural networks are important for incorporating knowledge obtained from trained networks into knowledge based systems. In lieu of this, the proposed RE algorithm contributes to the trend toward developing hybrid and versatile knowledge-based system including expert systems and knowledge-based decision su, pp.rt systems.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2003.05a
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• pp.474-483
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• 2003

A number of studies for corporate bond rating classification problems have demonstrated that artificial intelligence approaches such as Case-based reasoning (CBR) can be alternative methodologies to statistical techniques. CBR is a problem solving technique in that the case specific knowledge of past experience is utilized to find a most similar solution to the new problems. To build a successful CBR system to deal with human information processing, the representation of knowledge of each attribute is an important key factor We propose a hybrid approach of using fuzzy sets that describe the approximate phenomena of the real world because it handles inexact knowledge represented by common linguistic terms in a similar way as human reasoning compared to the other existing techniques. Integration of fuzzy sets with CBR is important to develop effective methods for dealing with vague and incomplete knowledge to statistical represent using membership value of fuzzy sets in CBR.

• Journal of Distribution Science
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• v.20 no.10
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• pp.119-129
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• 2022

Purpose: The purpose of this study was to investigate sales managers' strategic focus on customer acquisition, specifically its effect on salespeople's performance. In addition, this study aimed to determine how salespeople's interpersonal skills, salesmanship skills, and technical knowledge affect the relationship between customer-acquisition management and salespeople's performance. Research design, data, and methodology: This study conducted a survey of 310 salespeople working at pharmaceutical companies. A structural equation modeling approach was applied to test the main effects and interaction effects using AMOS. Results: The results indicated that both managers' customer-acquisition orientation and salespeople's salesmanship skills and technical knowledge positively affected the latter's performance. Further, it was found that the higher the technical knowledge of the salesperson, the greater the effect of the customer-acquisition orientation on sales performance. Conclusions: Sales managers should enable salespeople to quickly acquire technical knowledge with respect to the market, products, competitors, and company policy so that they can bring greater synergy to the customer-acquisition orientation.

• Asia pacific journal of information systems
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• v.30 no.4
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• pp.758-784
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• 2020

In today's dynamic and hypercompetitive business environment, knowledge and innovation have emerged as bases for sustained competitive advantage. This paper addresses two specific research questions. First, we ask, "What is the effect that firm interactivity has on various types of innovation?" As we address this question, we explain that interactivity helps firms create knowledge, which then promotes and enables innovation. Second, we ask, "How do the various types of innovation impact firm performance?" We develop a research model and a set of hypotheses from the basis of organizational knowledge creation theory and the knowledge-based view of the firm. We test this model using survey data, and find that interactivity is positively associated with innovation. We also find that several types of innovation, including service innovation, process innovation, and organizational innovation have a positive impact on firm performance.