• Healthcare Informatics Research
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• v.24 no.4
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• pp.387-393
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• 2018

Objectives: This paper describes an experience of implementing seamless service trials online and offline by adopting Internet of Things (IoT) technology based on near-field communication (NFC) tags and Bluetooth low-energy (BLE) beacons. The services were provided for both patients and health professionals. Methods: The pilot services were implemented to enhance healthcare service quality, improve patient safety, and provide an effective business process to health professionals in a tertiary hospital in Seoul, Korea. The services to enhance healthcare service quality include healing tours, cancer information/education, psychological assessments, indoor navigation, and exercise volume checking. The services to improve patient safety are monitoring of high-risk inpatients and delivery of real-time health information in emergency situations. In addition, the services to provide an effective business process to health professionals include surveys and web services for patient management. Results: Considering the sustainability of the pilot services, we decided to pause navigation and patient monitoring services until the interference problem could be completely resolved because beacon signal interference significantly influences the quality of services. On the other hand, we had to continue to provide new wearable beacons to high-risk patients because of hygiene issues, so the cost increased over time and was much higher than expected. Conclusions: To make the smart connected hospital services sustainable, technical feasibility (e.g., beacon signal interference), economic feasibility (e.g., continuous provision of new necklace beacons), and organizational commitment and support (e.g., renewal of new alternative medical devices and infrastructure) are required.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.833-849
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• 2021

Cloud accounting represents a new area of accounting information systems. Past research has often focused on accounting information systems and its antecedents, rather than factors that adopt cloud accounting system. The purpose of this paper is to explain the factors that influence the adoption of cloud accounting in the financial sectors. This paper applied the technology acceptance model (TAM), technology-organization-environment, and the De Lone and Mc Lean model, coupled with proposed factors relevant to cloud accounting. The proposed model was empirically evaluated using survey data from 187 managers (financial managers, IT department managers, audit managers, heads of accounting departments, and head of internal control departments) in Jordanian bank branches. Based on the SEM results, top management support, organizational competency, service quality, system quality, perceived usefulness, and perceived ease of use had a positive relationship with the intention of using cloud accounting. Cloud accounting adoption positively affected cloud accounting usage. This paper contributes to a theoretical understanding of factors that activate the adoption of cloud accounting. For financial firms in general the results enable them to better develop cloud accounting framework. The paper verifies the factors that affect the adoption of cloud accounting and the proposed cloud accounting model.

• Journal of Distribution Science
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• v.20 no.4
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• pp.51-63
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• 2022

Purposes: The purpose of this study is to develop and test a possible model that investigates the relationships between green investment, CSR disclosure, social collaboration initiatives, and firm distribution performance to deal with environmental change because it's become the major stakeholder since it affects increasingly global company performance index. Research methodology: In this study a quantitative method was adopted. The 220 respondents were owners and managers of manufacturing enterprises from Indonesia. The structural equation model (SEM) was used to test the hypotheses, and the Partial Least Square (SmartPLS) was used as the data analysis tool. Findings: The study's finding shows that green investment has a significant effect on CSR disclosure, and CSR disclosure has a positive relationship with social collaborative initiatives and the firm's distribution performance. Similarly, social collaborative initiatives also significantly impact a firm's distribution performance. Limitations: This study uses variables that are still abstract and have not been able to regress the dimensions contained there into conclusion variables for each antecedent variable. In addition, this study only used a sample with a small scope, namely Central Java Province, Indonesia. Contribution: The findings of this study contribute to the body of literature in the field of organizational management and support the agency and stakeholder theories. For the practical contribution, this study provides the way to build and implement green-based investment strategies as a competitive edge and improve firm's distribution performance.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.37-64
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• 2022

As the social acceptance of artificial intelligence increases, the number of cases of applying machine learning methods to companies is also increasing. Technical factors such as accuracy and interpretability have been the main criteria for selecting machine learning methods. However, the success of implementing machine learning also affects management factors such as IT departments, operation departments, leadership, and organizational culture. Unfortunately, there are few integrated studies that understand the success factors of machine learning selection in which technical and management factors are considered together. Therefore, the purpose of this paper is to propose and empirically analyze a technology-management integrated model that combines task-tech fit, IS Success Model theory, and John Rice's algorithm selection process model to understand machine learning selection within the company. As a result of a survey of 240 companies that implemented machine learning, it was found that the higher the algorithm quality and data quality, the higher the algorithm-problem fit was perceived. It was also verified that algorithm-problem fit had a significant impact on the organization's innovation and productivity. In addition, it was confirmed that outsourcing and management support had a positive impact on the quality of the machine learning system and organizational cultural factors such as data-driven management and motivation. Data-driven management and motivation were highly perceived in companies' performance.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.685-694
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• 2023

This study is a descriptive research study to analyze factors affecting patient safety management activities by identifying shared leadership, organizational communication, and nursing service perceived by nurses to prepare basic data for theoretical and practical information and intervention measures. This study collected data from 155 clinical nurses in C region in G-do from July 17 to July 28, 2023, and a total of 154 copies were finally analyzed. Using the SPSS Win. 25.0 program, technical statistics, t-test, one-way ANOVA, Pearson correlation coefficient, and hierarchical multiple regression were analyzed. As a result of analyzing variables affecting the subject's patient safety management activities with multiple regression using hierarchical selection, the higher the shared leadership, the higher the patient safety management. In order to efficiently perform nursing for nurses' patient safety management activities, research should be continuously conducted to develop specific intervention programs that can support patient safety nursing activities and verify their effectiveness

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.2
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• pp.19-34
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• 2021

The government budget for promoting startup have been skyrocketed as catching up with increasing demands for high-tech startup by disruptive innovation resulted from rapid technology change. However, major trend of startup have still fallen on self-employed type of startup due to the lack of expertise and fund in spite of desperate government policy efforts. In reality, the access to high-tech startup has been very limited and too high huddle to would-be entrepreneur. This paper implement empirical analysis on the effects of entrepreneur competency and satisfaction level to government support, considering these as the KSF for the growth and success of high-tech startup, to the performance of the company. In particular, it focus on defining unique characteristics of high-tech startup through differential proving by the backgrounds of entrepreneur such as major, R&D experience, patent possession, CTO possession. This research carry out survey to 217 entrepreneurs in high-tech company in Daejon and Daegue at R&D Special Innopolis Zone. Research results are as follow. First, entrepreneurial achievement competencies, conceptualization competencies, network competencies and market recognition competencies positively affect the financial and non-financial performance and organizational and technical competencies, while organizational and technological competencies only positively impact on non-financial performance. Second, the satisfaction level of government support showed a positive moderating effect on entrepreneurial achievement competencies and financial performance, while no significant effect in other competencies. Third, positive differential effect by the technological background of entrepreneur such as Major, R&D experience, patent possession, CTO possession) have been confirmed. This paper deliver several significant implications and contributions, First, it propose classified and systematized entrepreneur competency through the domestic and foreign literature reviews. Second, it proves the need for the wider spread of team based startup culture rather then sole startup. Third, it also proves the important role of technological background of entrepreneur among the characteristics of high-tech startup.

• 대한공업교육학회지
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• v.33 no.2
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• pp.44-71
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• 2008

This paper was intended to investigate employment conditions and career planning of ex-participants of the customized training program(CTP) in Technical High Schools for the specific Small and Medium Business through questionnaires. Results of the research were: 1. The average ex-participant of CTP was employed in small size company with 50 employees, earned 1~1.2 Million Won monthly, worked about 50 hours per week. 2. They were earnestly considering and worried about their career. They had their career goals : Engineer in production and manufacturing, CEO of a company, Design engineer. 3. They were not able to invest enough time and energy in developing their capabilities and skills. 4. There were feelings of respondents, which the main barriers of their career achievement were : (1) their deficiency of personal competencies and endurance. (2) not time enough to learn (3) the fallacy of organizational support and atmosphere.

• Journal of Korea Technology Innovation Society
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• v.10 no.4
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• pp.755-788
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• 2007

This study investigates the effects of individual and group level factors on the use of GSS (Group Support System) and task performance from GSS use. GSS facilitates the group work, so that GSS adoption is not necessarily influenced only by individual perceptions on information systems. Adaptive Structuration Theory (AST) in our study to explain the adoption and success from GSS use. AST contends that the success of IS is not necessarily the technical fit between tasks and technology, instead the political outcome among user socializations. We have the following two research inquires: Are the IS use and performance maximized when information technologies are provided properly?; and, Does TTF always influence positively on IS use (or performance)? To research these issues, we investigate the influence of TTF (Task-Technology Fit) on use and performance of GSS, which is introduced to foster collaboration among organizational members. Drawing insights from the AST, we examine if COA (Consensus on Appropriation) among group members and FOA (Faithfulness of Appropriation) between those who use technology and who design it show any moderating effect. A questionnaire survey was conducted on firms using the GSS for one month from June 2 to June 27 2005 and a sample of 303 responses was used for a statistical analysis. The result demonstrates that TTF exerts a positive influence on use and performance of GSS. We find that the stronger the COA, the greater the effect of W on use of GSS and performance. FOA likewise has a positive effect on both use of GSS and performance. The TTF model has been widely applied to studies on individual performance of information system, whereas the AST theory specifically explains members' adaptation process to information system. By integrating the AST theory with the TTF model, the study contributes to heightening our understanding on if and how individual performance varies with the use of GSS.

• Journal of Information Technology Applications and Management
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• v.14 no.1
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• pp.117-135
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• 2007

Globalization changes in market structures and consumer needs, as well as technology innovations force organizations to adopt new structures and collaborative networks to cope with rapidly changing environments. These Collaborative Networks are based on the Idea of virtual enterprise. A virtual enterprise(VE) is a temporary alliance of globally distributed independent enterprises that share core competencies and computer networks. This paper presents a proposal for a methodology to measure a key factor of success and risk First of all, we chose thirty experts' defines on virtual enterprise, fifteen are academic specialist and other fifteen are from industry. For this study we define twenty two factors determining VE's success and seventeen factors determining VE's risk using by Delphi method. And we built the influence model on virtual enterprise. A research model was established according to preceeding research and consensus on experts then the revised model of key factors on virtual enterprise. This survey was based on the Analytical Hierarchy Process (AHP). AHP is an approach to decision making that involves structuring multiple choice criteria into a hierarchy, the assessing the relative important of these criteria, comparing alternative for each criteria, and determining an overall ranking of the alternatives. A model was constructed as 3 level hierarchy. The hierarches are organizational, strategic, technical criteria. for success model on VE has 22 factors and 17 factors for risk model. They are selected by all 30 experts. 14 copies among 30 copies distributed to carry out on the Analytical Hierarchy Process (AHP). Consistency ratio confirm high validity and reliability of instrument and support theoretical model. The results of this study are summarized as follows. (1) This study presented success on VE influenced strategic criteria, and essential factor is Creating a value. Risk on VE influenced strategic criteria, and essential factor is Outcome/Distribution. (2) Its enable that ranking the criteria influence on VE. These are supported VE management and using guideline of VE.

• Korean Security Journal
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• no.59
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• pp.9-35
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• 2019

Until now, a lot of research on cyber security have been tried, but there have been few studies on overall relationships, including internal factors and external factors. Therefore, this study examined cyber security management considering not only internal elements of SMEs but also corporate management environment. The first qualitative analysis and the second quantitative analysis were conducted through mixed method research. Qualitative analysis was conducted through a semi-structured interview method, and three themes were found: insufficient cyber security management system, internal noncooperation for cyber security, and problems derived from decision-making system. In the quantitative analysis, multiple regression analysis was conducted on the data obtained through the questionnaire. The perception of cyber threats and internal support among independent variables positively influenced the cyber security management system or the dependent variable. Through this study, internal variables had a causal impact on the cyber security management system rather than external environment variables. This implies that the variables related to the organizational culture such as employees' perception are important. These results are expected to provide practical significance for enhancing the cyber security management system in SMEs.