• Journal of Korean Society for Quality Management
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• v.47 no.1
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• pp.1-15
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• 2019

Purpose: The purpose of this study is to support SMEs' introduction of smart factories during the $4^{th}$ Industrial Revolution era. Through this study, we developed the readiness assessment framework for SMEs. This study draws practical implications for improving the readiness of SMEs to introduce smart factories. Methods: Readiness Assessment Framework Design method, Case Studies Analysis Results: This study identified SMEs suitable for smart factories and identified key issues for nonconforming companies. And the diagnostic framework has been determined whether it works in a real-life SME environment. Conclusion: In order to succeed in the smart factory deployment, readiness assessment for SMEs should be performed as necessary. Prior to the introduction of smart factories, quality innovation activities should be carried out according to factory level.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.684-693
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• 2007

The construction industry is a significant component of many economies and typically contains a high proportion of small and medium enterprises. However, it is generally understood that this industry is fragmented, adversarial, not highly innovative and not quick to respond to change. At the same time, the industry is under pressure to continue to embrace new technologies and methods, and to adapt better to current and emerging global issues such as sustainability. In order to meet these challenges, firms in the industry need to understand the issues involved and manage their practices accordingly. This paper describes exploratory research into the role of innovative and environmentally sustainable design and construction practices in one group of construction firms, viz., smaller residential building firms in Queensland, Australia.

• International journal of advanced smart convergence
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• v.12 no.3
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• pp.51-60
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• 2023

This study focuses on the design of a GPT-based system for relatively rapid technology credit assessment of SMEs. This system addresses the limitations of traditional time-consuming evaluation methods and proposes a GPT-based model to comprehensively evaluate the technological capabilities of SMEs. This model fine-tunes the GPT model to perform fast technical credit assessment on SME-specific text data. Also, It presents a system that automates technical credit evaluation of SMEs using GPT and LLM-based chatbot technology. This system relatively shortens the time required for technology credit evaluation of small and medium-sized enterprises compared to existing methods. This model quickly assesses the reliability of the technology in terms of usability of the base model.

• Industry Promotion Research
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• v.4 no.2
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• pp.19-28
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• 2019

This study analyzed the effect of the improvement of the work environment of the worker on the performance of the individual. A total of 50 questionnaires were analyzed for SME workers. First, the correlation between the work environment of the worker and the work performance of the individual is -388, the correlation coefficient between the salary level and the contribution is .566, the salary level and the job satisfaction .586, The results of this study were as follows. First, it was confirmed that there was a significant relationship between the contribution and the peer relationship -.331, p <.05, and the job satisfaction and peer relationship .373, the working environment and working time were .442, And it was found to be significant at p>.01 level. Second, job performance had a significant effect on job performance (p <.05, ${\beta}=.340$) and peer relationship (p <.05, ${\beta}=.320$) (P <.001, ${\beta}=.465$) were found to have a significant effect on the level of achievement and contribution, but not statistically significant. Third, it was confirmed that there was no difference between the groups in terms of work performance. The results of this study are as follows. First, we analyzed the effect of improvement of work environment on individual work performance by analyzing the work environment and work performance perceived by SME workers.

• Journal of Information Technology Services
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• v.14 no.1
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• pp.195-215
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• 2015

Recently, as the number of smart-phone users has been rapidly increased, enterprise managers have a keen interest in business application of social media. Most previous studies have focused on perspective of the individual unit of analysis instead of enterprise level unit. The study is focused on the relationship between the enterprises' recognition and behavioral intention (and use) about social media application. The purpose of this study is to develop the model of small and medium enterprises' social media application, and to find the factors affecting their behavioral intention or use behavior. The moderating effects of four corporate characteristics on the relationship between the enterprises' recognition and behavioral intention are also examined. We surveyed 900 corporate staffs and received 203 responses. After questionnaires with unreliable responses had been excluded, 182 effective samples were used in the final analysis. The findings suggest that Performance Expectation, Social Influence, Facilitating Conditions significantly affect Behavioral Intention of social medea, and Behavioral Intention affects USE. Furthermore, some corporate characteristics have moderating effect on the relationship between recognition of social media and Behavioral Intention.

• Journal of Digital Convergence
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• v.8 no.3
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• pp.169-180
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• 2010

The current status of information management and information strategy of an enterprise may determine the future capability of the firm, thus the competitiveness in the market. Especially, in case of SME(small and medium enterprise), the level of information management and strategy gives the company readiness in the ever changing business environment. In this study, we investigate the information infrastructure of SMEs operating in Incheon Metropolitan areas whether they can meet the challenge in terms of network, software, IT education, IT finance, etc. We came up some suggestions which might be good alternatives and choices for IT decision makers in local and central government.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.3
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• pp.843-871
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• 2015

Cloud computing evolve as a cost effective business model for IT companies to focus on their core business without perturbing on infrastructure related issues. Hence, major IT firms and Small & Medium Enterprises (SME) are adopting cloud services on rental basis from cloud providers. Cloud Service level agreements (SLA) act as a key liaison between consumers and providers on renting Anything as a Service (AaaS). Design of such an agreement must aim for greater profit to providers as well as assured availability of services to consumers. However in reality, cloud SLA is not satisfying the parties involved because of its inherent complex nature and issues. Also currently most of the agreements are unilateral to favour the provider. This study focuses on comprehensive, 360-degree survey on different aspects of the cloud service agreements. We detailed the life cycle of SLA based on negotiation, different types of SLA, current standards, languages & characteristics, metrics and issues involved in it. This study will help the cloud actors to understand and evaluate the agreements and to make firm decision on negotiation. The need for standardized, bilateral, semantic SLA has also been proposed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.2
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• pp.187-201
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• 2014

This research attempts to see the phenomenon that how job satisfaction formulate through the analysis of structural relationships between the degrees of authenticity, self-concept, self-efficacy and organizational goals and objects. The survey collected questionnaires of the authentic leadership, self-efficacy and job satisfaction. 152 numbers of samples are collected for survey to observe empirical relationships, causal and correlation, for elucidating respected structural equation model. Structural equation modeling was carried out to explore the relationship of authentic leadership, self-efficacy, and job satisfaction. The mediation model posits that self-efficacy mediate the linkage between authentic leadership and job satisfaction. The result of this research indicates the positive impact of authenticity may not affect job satisfaction. As much leader authenticity affects positive impact to self-efficacy which is individual identity, the leader should invest them to foster the authenticity. In other words, authentic leadership on job satisfaction of subordinates is not directly affected. In order to increase job satisfaction of subordinates, leaders should be focused to raise self-efficacy.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.325-333
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• 2022

This study examined the influence of three elements of individual entrepreneurial orientation (IEO), namely innovativeness, risk-taking, and proactiveness on the performance of small and medium enterprises (SMEs). It is worth noting that SMEs have experienced low productivity, low profit, and low performance during the COVID-19 pandemic era. Although several studies have shown that entrepreneurial orientation (EO) is a key factor of company performance, few have focused on IEO. This study employed a quantitative research design because all variables were measurable. It used a questionnaire to survey 384 SMEs in the service sector and employed structural equation modeling (SEM) in data analysis. The findings suggested that SMEs' performance was influenced by risk-taking and proactiveness. This could be related to the fact that SMEs have a less formal structure, allowing owner-managers to take risks and make quick decisions. Furthermore, high performance was ensured by being very sensitive to market trends and changes in the business environment. Innovativeness was not a significant factor in influencing the performance of SMEs. Perhaps it was rather difficult for SME owner-managers to be innovative due to the lack of various resources. This study successfully re-confirmed the effect of IEO on business performance and highlighted the importance of risk-taking and proactiveness in improving the performance of SMEs.

• Journal of Information Technology Applications and Management
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• v.30 no.5
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• pp.41-57
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• 2023

This paper aims to analyse the factors influencing the implementation of smart factories and their performance after implementation, using the grounded theory analysis method based on interview data. The research subjects were 21 companies that were selected by the Smart Manufacturing Innovation Promotion Group under the SME Technology Information Promotion Agency in 2020-2021 as the best case smart factory implementation companies, and introduced the intermediate stage 1 or above. A total of 87 concepts were generated as a result of the analysis. We were able to classify them into 16 detailed categories, and finally derived six broad categories. These six categories are "motivation for adoption", "adoption context", "adoption level", "technology adoption", "usage effect" and "management effect". As a result of the overall structure analysis, it was found that the adoption level of smart factory is determined by the adoption motivation, the IT technology experience affects the adoption level, the adoption level determines the usage and usage satisfaction, internal and external training affects the usage and usage satisfaction, and the performance or results obtained by the usage and usage are reduced defect rate, improved delivery rate and improved productivity. This study was able to derive detailed variables of environmental factors and technical characteristics that affect the adoption of smart factories, and explore the effects on the usage effects and management effects according to the level of adoption. Through this study, it is possible to suggest the direction of adoption according to the characteristics of SMEs that want to adopt smart factories.