• Asia pacific journal of information systems
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• v.15 no.2
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• pp.219-239
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• 2005

Recently, e-transformation has appeared as one of the important issues on which academic and industrial worlds focus in order to bring organizational transformation to a company that wants to adapt itself to the rapidly changing business environment. Therefore this thesis aims to develop a new model(a model whose evaluation criteria were based on 3 dimensions, 9 factors, and 30 indices was derived) to evaluate the level of e-transformation that enables firms to check out and predict the e-transformation progress. The present study seems to be the first trial to evaluate the status of e-transformation processes of the firm empirically, especially by integrating the many indices that have not been examined empirically before. We expect that the results from this research will help corporate e-business strategy planners to devise and analyze the e-transformation strategies effectively by recognizing the companies' current situation in comparison with their previous and other firms' level, respectively.

• Journal of Microbiology and Biotechnology
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• v.25 no.12
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• pp.2116-2124
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• 2015

To understand the effects of physicochemical factors on nitrite transformation by microalgae, a lipid-rich Chlorella with high nitrite tolerance was cultured with 8 mmol/l sodium nitrite as sole nitrogen source under different conditions. The results showed that nitrite transformation was mainly dependent on the metabolic activities of algal cells rather than oxidation of nitrite by dissolved oxygen. Light intensity, temperature, pH, NaHCO₃ concentrations, and initial cell densities had significant effects on the rate of nitrite transformation. Single-factor experiments revealed that the optimum conditions for nitrite transformation were light intensity: 300 μmol/m²/s; temperature: 30℃ pH: 7-8; NaHCO₃ concentration: 2.0 g/l; and initial cell density: 0.15 g/l; and the highest nitrite transformation rate of 1.36 mmol/l/d was achieved. There was a positive correlation between nitrite transformation rate and the growth of Chlorella. The relationship between nitrite transformation rate (mg/l/d) and biomass productivity (g/l/d) could be described by the regression equation y = 61.3x (R² = 0.9665), meaning that 61.3 mg N element was assimilated by 1.0 g dry biomass on average, which indicated that the nitrite transformation is a process of consuming nitrite as nitrogen source by Chlorella. The results demonstrated that the Chlorella suspension was able to assimilate nitrite efficiently, which implied the feasibility of using flue gas for mass production of Chlorella without preliminary removal of NO_X.

• Journal of Korea Port Economic Association
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• v.39 no.3
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• pp.155-178
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• 2023

The purpose of this study is to derive factors that affect the acceptance of digital transformation in ports and empirically analyze the impact of these factors on the acceptance of digital transformation through a survey of port workers. Additionally, we test whether acceptance attitude plays a mediating role in the relationship between these factors and digital transformation acceptance. The variables used in this study are as follows. First, knowledge, self-efficacy, and involvement were included as variables related to individual characteristics, relative advantages, complexity, observability were included as variables related to innovation characteristics, and government regulations and competitor pressure were included as variables relate to environmental characteristics, so that a total of eight latent variables were selected. The results of this study are summarized as follows. First, two variables among individual characteristics, self-efficacy and involvement, were able to confirm a positive(+) causal relationship with the attitude of accepting digital transformation, and knowledge initially expected a positive(+) causal relationship with the attitude of accepting digital transformation, but the result was a negative(-) causal relationship, so that the hypothesis was rejected. Second, among the characteristics of innovation, complexity has a negative(-) causal relationship with the attitude of accepting digital transformation, and relative advantages and technological innovation have a positive(+) causal relationship with the attitude of accepting digital transformation. Finally, among the environmental characteristics, government regulations and competitor pressure, confirmed a positive(+) causal relationship with the attitude of accepting digital transformation. In addition, it was found that the attitude of accepting digital transformation had a positive(+) causal relationship with personal acceptance and social acceptance of digital transformation.

• Human Ecology Research
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• v.56 no.1
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• pp.85-97
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• 2018

For a further understanding of the Chinese consumer, this study investigated 1) the effects of aesthetic consciousness on make-up attitude, and 2) the differences in the effect of aesthetics consciousness on make-up attitude among age groups. An online survey was conducted on female consumers belonging to the post-80s and 90s generations, living in Xian China. SPSS 24.0 and Amos 18.0 was used for data analysis. Confirmatory factor analysis for the research variables were performed and three factors of aesthetic consciousness (social relations consideration, internal consideration, and external consideration), and four factors of make-up attitude (psychological pleasure, self-satisfaction, consciousness of others, and tool of transformation) were identified. The results from the model test were : 1) aesthetics consciousness was found to vary depending on make-up attitude. Social relations consideration had a positive effects on psychological pleasure, self-satisfaction, and tool of transformation. Internal consideration had a positive effect on self-satisfaction and tool of transformation, and a negative effect on psychological pleasure. External consideration had positive effects on all four factors of make-up attitude. 2) In the post-80s participants, social relations consideration and external consideration had positive effects on all four factors of make-up attitude. Internal consideration s had a negative effect on consciousness of others and a positive effect on tool of transformation. In the post-90s participants, social relations consideration had positive effects on psychological pleasure, self-satisfaction, and tool of transformation. Internal consideration had positive effects on psychological pleasure and self-satisfaction.

• The Journal of Bigdata
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• v.7 no.2
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• pp.43-73
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• 2022

In order to improve productivity, reduce costs, and improve decision-making efficiency, which are one of the main contents of the digital transformation promotion goal, many companies are promoting the introduction of various IT for digital transformation. Information technology (IT) is a key means of determining competitiveness, and the IT adoption worldwide is increasing every year. The financial industry is also actively introducing huge amounts of IT every year to generate profits, improve work efficiency, and secure a strategic competitive advantage. Compared to some studies on the IT adoption in the public and corporate sectors, empirical studies that reflect the characteristics of the financial industry are insufficient. In this study, the purpose of this study was to derive factors affecting the IT adoption in the financial industry for the promotion of digital transformation, and to analyze weights and priorities. By revealing through data analysis that there is a difference in the relative priorities of factors in the financial IT adoption for each group, it can be used as a reference model for which factors should be considered prior to IT adoption from the perspective of each group. It will be meaningful in that it exists.

• Asia pacific journal of information systems
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• v.32 no.3
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• pp.580-600
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• 2022

The purpose of this study is to investigates the effect of SMEs' digital transformation efforts in O2O platforms on customer engagement. This study focuses on digitalization, which is a practically viable phase for SMEs using O2O platforms among the three digital transformation stages (digitization, digitalization, and digital transformation). This study specifically categorizes digital transformation efforts into three categories: information diversity, responsiveness to customers, and the degree of functional use. To analyze the impact of these efforts on customer engagement, we conducted a zero-inflated negative binomial regression using the dataset provided by Naver SmartPlace, a representative O2O platform in South Korea. The results present that the positive relationship between these aforementioned factors and customer engagement. Thus, this study demonstrates that utilizing O2O platforms can be an effective strategy for SMEs that lack the resources to achieve a successful digital transformation.

• Journal of Venture Innovation
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• v.7 no.2
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• pp.19-40
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• 2024

This study was conducted to empirically analyze the impact of environmental factors on small and medium-sized enterprises' intention to adopt digital transformation. A research model was derived for empirical analysis. Environmental factors were subdivided into independent variables, including industrial competitive pressure, labor shortage, government support, and lack of financial resources, with CEO's perception serving as a moderating variable. A survey targeted executives and employees of small and medium-sized enterprises, and 240 valid responses were selected for analysis. The structural equation method using Amos 24 was employed for the empirical analysis. The findings indicated that industrial competitive pressure and government support had a significant positive influence on the intention to adopt digital transformation, while lack of financial resources had a significant negative effect. The significance of labor shortage was not tested. The order of influence on the intention to adopt was government support, industrial competitive pressure, and lack of financial resources. In terms of the impact of industrial competitive pressure and lack of financial resources on the intention of small and medium enterprises to adopt digital transformation, it was found that in groups with low CEO perception, the lack of financial resources had a negative effect. On the other hand, in the case of the group with high perception, industrial competitive pressure was found to have a significant positive effect. These research results were academically meaningful as they produced significant findings by focusing on environmental factors among the various factors that affect the digital transformation of small and medium-sized enterprises. Practically, it can be said that the importance of the role of top management in small and medium-sized enterprises was emphasized anew

• Journal of Industrial Convergence
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• v.21 no.4
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• pp.1-12
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• 2023

The era of digital transformation is rapidly emerging in industries and academia, including finance and logistics, and the consulting market for digital transformation is also growing. According to previous studies, the need for digital transformation is also mentioned in consulting institutions. In this process, the role of consultants should be changed according to the times, and customer relationship management and attitude toward customers are emphasized. However, consulting research has the point that research on this has not been studied in depth. Therefore, the purpose of this study is to develop an element of attitude focusing on consultant attitudes in the field of digital transformation. As a result of research using literature analysis and modified Delphi techniques, 'customer orientation', achievement orientation', professional dignity', 'maintenance of expertise', and 'ethics' were found to be key attitude factors. This study is meaningful in that consultant attitude elements in the digital transformation field were explored and developed by verifying content validity, and consultants in the digital transformation field can recognize the importance of attitude and use it as a basic tool for capacity improvement.

• Journal of the Korea Society of Computer and Information
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• v.13 no.5
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• pp.53-67
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• 2008

At present, for reuse of similar domains between feature model and class model. researches of transformation at the model level and of transformation using ontology between two models are being made. but consistent transformation through metamodel is not made. And the factors of modeling transformation targets are not sufficient, and especially, automatic transformation algorithm and supporting tools are not provided so reuse of domains between models is not activated. This paper proposes a method of transformation from feature model to class model using ontology on the metamodel. For this, it re-establishes the metamodel of feature model, class model, and ontology, and it defines the properties of modelling factors for each metamodel. Based on the properties, it defines the profiles of transformation rules between feature mndel and ontology, and between ontology and class model, using set theory and propositional calculus. For automation of the transformation, it creates transformation algorithm and supporting tools. Using the proposed transformation rules and tools, real application is made through Electronic Approval System. Through this, it is possible to transform from the existing constructed feature model to the class model and to use it again for a different development method. Especially, it is Possible to remove ambiguity of semantic transformation using ontology, and automation of transformation maintains consistence between models.

• Journal of Power Electronics
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• v.14 no.1
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• pp.165-174
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• 2014

The cascaded H-Bridge Dynamic Voltage Restorer (DVR) is used for protecting high voltage and large capacity loads from voltage sags. The LC filter in the DVR is needed to eliminate switching ripples, which also provides an accurate tracking feature in a certain frequency range. Therefore, the parameter optimization of the LC filter is especially important. In this paper, the value range functions for the inductance and capacitance in LC filters are discussed. Then, parameter variations under different conditions of voltage sags and power factors are analyzed. In addition, an optimized design method is also proposed with the consideration of multiple impact factors. A detailed optimization procedure is presented, and its validity is demonstrated by simulation and experimental results. Both results show that the proposed method can improve the LC filter design for a cascaded H-Bridge DVR and enhance the performance of the whole system.