• International journal of advanced smart convergence
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• v.12 no.2
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• pp.108-116
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• 2023

Smart home and artificial intelligence technologies are developing rapidly, and various smart home systems associated with artificial intelligence (AI) improved the quality of living for people. In the present research, we examine the role of individuals' motivational system in their responses to the application of AI in smart homes. In particular, this research focuses on individuals' prevention motivational system and investigates whether individuals' attitudes toward the application of AI in smart homes differ according to their level of prevention motivation. Specifically, it is hypothesized that individuals with strong (vs. weak) prevention motivation will have more favorable attitudes toward the application of AI in smart homes. Consistent with the hypothesis, the results reveal that the respondents in the strong (vs. weak) prevention motivation reported significantly more favorable attitudes toward the six types of AI-based application in smart homes (e.g., AIbased AR/VR games, AI pet care system, AI robots, etc.). Our findings suggest that individuals' prevention motivational system may be an effective market segmentation tool in facilitating their positive responses to the application of AI in smart homes.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.497-507
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• 2021

The objective of the current research study is to examine those elements/factors that can reduce silence so that organizations can become more efficient, innovative, and adaptable by sharing knowledge and work-related problems. The purpose behind conducting this research was to explore the effects of emotional intelligence on silent behavior. The study also focuses on other individual negative aspects that can increase counterproductive behavior like silence and examines the effects of emotional intelligence on silence through moral disengagement. Data was collected from 400 employees using stratified sampling to ensure adequate representation of males and females. Data was collected from nurses and young doctors using the adopted measurement scale through a self-administered questionnaire. Since the sample included nursing staff and they usually are not well versed in English, the instrument was translated into Urdu. Data were analyzed using SEM to assess the direct and indirect effects of EI on employee silence. The result indicates that emotional intelligence has a positive impact on employee silence and moral disengagement. In contradiction to theory, the findings suggest that people with high emotional intelligence tend to get morally disengaged. As a result, they will remain silent and withhold information regarding work-related issues and problems.

• Journal of Internet Computing and Services
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• v.13 no.2
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• pp.109-118
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• 2012

This paper theoretically derives an algorithm to discover a new type of workflow-based knowledge from workflow models, which is termed workflow-based affiliation network knowledge. In general, workflow intelligence (or business process intelligence) technology consists of four types of techniques that discover, analyze, monitor and control, and predict a series of workflow-based knowledge from workflow models and their execution histories. So, this paper proposes a knowledge discovery algorithm which is able to discover workflow-based affiliation networks that represent the association and participation relationships between activities and performers defined in ICN-based workflow models. In order particularly to prove the correctness and feasibility of the proposed algorithm, this paper tries to apply the algorithm to a specific workflow model and to show that it is able to derive its corresponding workflow-based affiliation network knowledge.

• The Journal of Society for e-Business Studies
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• v.16 no.2
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• pp.143-158
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• 2011

This study suggests a framework which extracts features of collective intelligence from social Q&A community sites and takes advantage of those features upon vertical search for domain specific knowledge or information retrieval. One source of collective intelligence on the internet is the question and answer(Q&A) data available from many Q&A sites. Vertical search is focused on searching special areas or specific domains. This paper proposes a framework for extending the relevant terms by using Q&A information connected with query that the user wants to retrieve, and then applies them to specific domain field that requires professional and detailed knowledge.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.351-357
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• 2013

This research studied that the effect of consulting local SMEs focusing on the effective factors related to quality of theoretical study and the previous studies according to research model and research hypotheses. Also, in this empirical analysis, analyzed the consulting performance that distinguish such as consulting procedures quality, consulting adaptation, consultant emotional intelligence and efforts factors. Second, in relationship with consulting adaptation and performance, statistically significant relationship showed weak. Finally, the quality of the consultant engagement and emotional intelligence was analyzed high significance. Therefore, this study further accounting information systems consultant at consultant emotional intelligence factors can expect a useful guidelines.

• Journal of Information Technology Applications and Management
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• v.31 no.2
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• pp.51-66
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• 2024

Internet of Things (IoT) is a term that has been introduced in recent years, and it defines objects being able to connect and transfer data through the internet. Although some IoT-related products are currently available in the market, there are still some IoT problems that need to be overcome, such as the technology issues and lack of confidence and understanding of IoT. This study aims to analyze the influential factors in building successful IoT system for smart supply chain. This study develops the Analytic Hierarchy Process (AHP) to evaluate the influential factors in IoT. This study finds that tangible factors (Technology, Value and Connectivity) are more important than the intangible factors (Operation and Intelligence). Finally, this study concludes that after enterprises build a good IoT connectivity system, it is essential to combine this with good IoT technology to create a successful IoT environment. The findings may help practitioners implement IoT in smart supply chains to deal with disruptions, risks and vulnerabilities in the post-pandemic era.

• Journal of Digital Convergence
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• v.10 no.7
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• pp.93-98
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• 2012

The rapid change of business environments request the company to act more smart and intelligent in making business strategies and planning the business processes. To meet this requirement, we need to have smart Business Intelligent System(hereinafter "BI") in the company. On the one hand, many korean companies had already installed BI system, and the other hand some companies have plans to implement BI Systems additionally to their Information System. It is very important to have the pictures which factors are critical to the successful implementation of BI, and to survey which critical success factor(hereinafter CSF) are important compared to each factors. In this paper data was gathered from companies already have their BI Systems. We measured IT-Infra maturity, User Education, and Company Organization, and Company Business Strategy, which are the critical success factors for the BI System. After surveying the CSF of BI System, we measured the weights among these factors by AHP. Factor analysis resulted in 6 major factors (Eigenvalue > 1.0), and the AHP analysis showed the list of CSF's weight list according to its significance priorities. The results of this paper could be the valuable references for the implementing process of the BI System in korean company.

• Korean Journal of Artificial Intelligence
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• v.7 no.1
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• pp.13-16
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• 2019

While the Chinese banks have started the impact of foreign banks. At the same time, rising pressure on foreign exchange reserves and appreciation of the renminbi has prompted Chinese banks to go abroad and diversify their risks. The financial crisis of 2008 has caused the continued turbulence of the major financial markets around the world, and the valuation of foreign financial institutions has been drastically shrinking, providing opportunities for Chinese banks to carry out overseas M&A. Based on the overseas M&A status of Chinese commercial banks, this paper sums up the characteristics of the overseas M&A. Then taking a series of overseas M&A conducted by ICBC from 2006 to 2011 as an example, it analyzes the relationship between M&A and performance growth using grey incidence model. The test shows: there is a positive correlation between both overseas M&A and interest rate differential with performance growth of ICBC, and overseas M&A transactions role in promoting the performance growth is significantly higher than the interest rate differential.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.1455-1458
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• 2006

비즈니스 인텔리전스(Business Intelligence)라는 용어는 기업 환경에서 매우 포괄적으로 사용되는 업무범위이다. 그러나 이를 이해하는 첫 번째 접근법은 데이터에 대한 분석적 접근을 행해야 만 가능하다는 것이며, 일반적으로 현황 보고서 조회 등과 같은 조회 시스템을 통하여 제공되는 현상 파악을 초월하여 데이터가 가지고 있는 여러 가지 속성을 의미 있게 이해하는 절차를 포함하는 것이다. 이러한 접근법에서 기업의 기간계 시스템등과는 확연히 다른 속성을 가지고 있다. 전사적 자원관리 시스템(ERP)은 기업의 중요 정보를 실시간으로 유지하기 위한 거래 시스템에서부터 기업의 운영을 위한 내부 회계, 영업, 서비스 시스템을 총괄하는 지원 능력을 가지게 된다. 그러나 ERP에서 생성되는 정보의 특성은 현시점에서 가정 정확한 트렌젝션 데이터의 속성을 가지게 되며, 업무적으로는 프로세스를 통합하는 기능을 지원받을 수 있게 된다. 이에 반하여 비즈니스 인텔리전스 애플리케이션은 현상을 초월하는 비즈니스 담당자의 질문에 답할 수 있는 시스템으로 구분 할 수 있다.

• Journal of the Korean Operations Research and Management Science Society
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• v.27 no.4
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• pp.167-184
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• 2002

The importance of competitive intelligence (CI), which collects/uses information about competitors, industries, etc., has been increased due to the rapidly changing business environment of today. However, there exist few domestic researches on CI. With this background, a study of domestic companies was performed that examines how the enterprise characteristics, the interest on CI, and the informatization level affect the way/level and outcome of CI. Results showed that bigger enterprises have the higher interest on CI than smaller ones and enterprises having high interest perform CI activities systematically and variously including using the internet. Further, the results uncovered the enterprises performing CI actively use the information acquired from the activity effectively in their business. The results also revealed that there are no difference between the IT companies and the others and that the jnformatization level is irrelevant to the internet CI activity level.