• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.273-281
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• 2022

The purpose of this research is to look into the effects of organizational culture and training and development on work discipline and performance. The data for this study was directly obtained from employees of a municipal water corporation in Medan, Indonesia, with a total of 204 participants. Partial Least Square Structural Equation Modeling (PLS-SEM) was applied for data analysis. The results showed that organizational culture and training and development positively and significantly affect performance. However, organizational culture and training & development positively affect employees' work discipline, albeit insignificantly. The findings of this study suggest that organizational culture and training and development play a critical role in shaping work discipline and performance in organizations in Indonesian settings. Therefore, the finding of this research engage all leaders in the organization to conduct training and development more intensively. Although it seems to have costly, this will have a good impact on the organization in the long run. Furthermore, the authors also suggest the creation of a solid organizational culture for every organization to foster excellent performance. However, each organization should choose its own acceptable organizational culture because it is possible that the organizational culture that works in one context does not work in another.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.23-33
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• 2021

The main objective of this research is to examine the effect of organizational culture, environmental uncertainty, and manager's personnel value on environmental disclosure through the environmental organizational structure of manufacturing companies on the Indonesia Stock Exchange. This research uses the structuration and contingency theory. The sample in this study focused on the level of heads or managers or directors of manufacturing companies listed on the Indonesia Stock Exchange. The research data was obtained through an online questionnaire distributed to heads or managers. The total sample of this study is 161 manufacturing companies. The data comprising of 64 respondents was completed and can be processed. Empirical testing used Structural Equation Modeling (SEM) through Partial Least Square (PLS). The result shows that environmental uncertainty and management personnel value have a positive effect on the environmental organizational structure, as well as the environmental organizational structure has a positive effect on the environmental disclosure. However, organizational culture has no effect on the environmental organizational structure. This research can provide benefits for manufacturing companies. The limitation include the low level of response from the respondents. Also the results cannot be generalized due to its specific focus on the manufacturing companies.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.109-121
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• 2023

This study aims to address the literature gap by examining the direct relationship between big data analytics capability, marketing innovation, and organizational innovations. Additionally, this study would examine big data analytics capability as the antecedent for both innovation types and how these relationships influence firm performance. The research model is developed based on the integration of resource-based view and knowledge-based view theories. The quantitative method is used as the research methodology for this study. Based on a purposive sampling method, a total of 115 questionnaires were obtained from managers in star-rated hotels located in Malaysia. Partial least square structural equation modeling (PLS-SEM) is utilized for the data analysis. The result shows that big data analytics capability positively affects marketing and organizational innovations. The findings show that big data analytics capability and organizational innovation positively influence firm performance. Nonetheless, the result revealed that marketing innovation is not positively related to firm performance. The findings also indicate to hotel managers the importance of big data analytic capability and the resources required to build and develop this capability. The contributions from this study enrich the literature on big data and innovation, which is particularly limited in the hospitality and tourism context.

• Communications for Statistical Applications and Methods
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• v.30 no.1
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• pp.37-48
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• 2023

Shape analysis is a method for measuring, describing and comparing the shape of objects in geometric space. An important aspect is to obtain Procrustes distance based on least square method. We note that the shape is all the geometrical information that remains when location, scale and rotational effects are filtered out from an object. However, and unfortunately, when we cannot measure some landmarks which are some biologically or geometrically meaningful points of any object, it is not possible to measure the variation of all shapes of an object, including that of the incomplete object. Hence, we need to replace the missing landmarks. In particular, Albers and Gower (2010) studied the missing rows of configurations in Procrustes analysis. They noted that the convergence of their approach can be quite slow. In this study, alternatively, we derive an algorithm for estimating the missing landmarks based on the pre-shapes. The pre-shape is invariant under the location and scaling of the original configuration with the centroid size of the pre-shape being one. Therefore we expect that we can reduce the amount of total computing time for obtaining the estimate of the missing landmarks.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.1
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• pp.101-109
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• 2023

This study examined the relationships among owner-manager characteristics, e-commerce adoption, and performance of small and medium enterprises (SMEs) in Malaysia. Although the growth of e-commerce was encouraging in many countries, studies of e-commerce adoption among SMEs in developing countries such as Malaysia are insufficient. Furthermore, studies that investigated individual characteristics and e-commerce adoption are still low in number. This study specifically employed the technology-organization-environmental (TOE) framework to develop its research model. The sample was selected by using a non-probability judgmental sampling technique because the desired population frame was unavailable. A total of 111 owner-managers of SMEs were surveyed using online self-administered questionnaires. Subsequently, the data was analyzed through partial least square-structural equation modeling (PLS-SEM). The results revealed significant relationships between owner-manager characteristics and e-commerce adoption, as well as between e-commerce adoption and the performance of SMEs. The findings suggested that owner-manager characteristics played an important role in determining e-commerce adoption among SMEs. Moreover, e-commerce adoption was crucial in affecting the performance of SMEs. This paper provided new insights into factors affecting e-commerce adoption and firm performance. It could further benefit the government and SMEs in strategizing e-commerce adoption and development, especially in the era of Industrial Revolution 4.0 (IR 4.0) and the post-COVID-19 pandemic.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.399-409
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• 2022

The purpose of this study is to examine the role of virtual community participation and engagement in the brand decision by building community and brand trust. In this study, two theories (Social Capital Theory and Theory of Collective Action) were tested. Both theories were linked based on existing literature, and empirical evidence was obtained through testing hypotheses. Students from five prestigious Pakistani business schools provided a total of 849 replies. The measurement model and structural model were both analyzed using the partial least square (PLS) method. The findings show that virtual community engagement and participation have a positive and significant impact on virtual community trust. Although virtual community engagement has a positive effect on brand trust, we found no evidence of a link between virtual community participation and brand trust. Later, these trusts positively influence brand choice. This study has several managerial implications. The suggested model of this study helps managers to get customers' insight, choose the right target market, and set integrated marketing communication strategies besides social media marketing strategies. The study represents a new perspective of consumer behavior that helps to understand how a customer behaves in virtual communities to trust and take the final decision to purchase.

• Journal of the Korean Institute of Gas
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• v.2 no.4
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• pp.60-66
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• 1998

The hot stove system is a process that is continuously and constantly generating the hot combustion air required for the blast furnace. The hot stove process is considered as a main energy consumption process because it consumes about $20\%$ of the total energy in steel making works. So, many researchers have interested in the improvement of the heat efficiency of the hot stove to reduce the energy consumption. But they have difficulties in improving the heat efficiency of the hot stove because there is no precise information on heat transformation occurring during the heating period. In order to model the relationship between the operating conditions and heat efficiencies, we propose a neural network using feature extraction as one of experimental modeling methods. In order to show the performance of the model, we compare it with Partial Least Square (PLS) method. Both methods have similarities in using the dimension reduction technique. And then we present the simulation results on the prediction of the heat efficiency of the hot stove.

• Journal of Korean Society of Transportation
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• v.27 no.6
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• pp.119-127
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• 2009

It has been known that bus route and company related characteristics have influences on punctuality, but fewer research have been conducted. Independent variables used in this study were selected using correlation analysis, and OLS(Ordinary Least Square) and HLM(Hierarchical Linear Model) were employed to identify factors affecting bus punctuality(headway deviation). The results showed that ICC(intraclass Correlation Coefficient) is 0.10, indicating that hierarchical linear models are more adequate for these data because there is effective variation in the subjects between companies. Punctuality was found to be negatively associated with the number of vehicles, the number of persons per vehicle, and total travel time. On the other hand, average headway and company size have a positive relationship with punctuality. Therefore, the number of vehicles per route, average headway, and the number of vehicles managed by a company should be considered for more accurately evaluating the management of piunctuality.

• Korean Journal of Social Welfare Studies
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• v.42 no.4
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• pp.217-238
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• 2011

This study aims to investigate the effects of active coping of spouses on recidivism of domestic violence. In order to obtain better study results, 21-month follow up interview was conducted for spouses of batterers who completed domestic violence batterer intervention program. Spouses were interviewed for three times; 9-month, 15-month, and 21-month after program completion. Finally, data till 15-month follow-up was used to manage sample size problem. As a results, a total number of 76 spouses were included for final analysis. Data was collected from 2008 to 2009. Based on sample size and study objects, PLS(Partial Least Square) analysis was used. the prevalence rates of emotional abuse was 77.6% at the first interview but 41.3% at the second interview. For physical violence each rate were 43.1% and 18.4%. For emotional violence, problem-solving strategy among active coping shows significant moderating effects on reducing emotional violence(p<.001) while help-seeking among active coping has significant effects on decrease physical violence(p<.01).

• Biomedical Science Letters
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• v.23 no.2
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• pp.133-137
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• 2017

Periodontitis is the major causation of tooth loss in the elderly population. Multiple risk factors include oral microorganisms, smoking, metabolic syndrome, and genetic factors influence periodontitis development. In this study, we conducted a replication study of using previous Korean GWAS results by examining an independent population. The study population was recruited from Mir Dental Clinic, Daegu, Korea. In total, 93 samples were evaluated from July 2016 to January 2017. The sample groups include relatively older patients (>60 years) with no periodontitis (n = 31) and relatively younger patients (range 40~60 years) with severe periodontitis (n = 62). A total of seven markers which were previously reported to be associated with periodontitis were genotyped. Among the seven SNPs, rs16846206 and rs2392510 showed a significant association by logistic regression analysis and Chi square test, respectively. The former SNP showed significant association with severe periodontitis, whereas this study also showed same tendency in which individuals with the minor allele are significantly more frequent in cases than those in controls. The SNP is located on a coding gene (SLC9C2), where the alanine residue 505 is replaced by glycine (Ala505Gly). The later SNP was significant when differed between case and control groups, but there was no significance by logistic regression analysis when controlled for age and sex as covariant. Although the study population size examined in the current study was relatively smaller compared to previous studies, our results implicated that at least the two SNPs (rs16846206 and rs2392510) might be important candidates for the further genetic study.