• Journal of Distribution Research
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• v.10 no.4
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• pp.89-111
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• 2005

The purpose of the study was to examine the role of cognitive costs in the relationship between service quality and store loyalty using structural equation modeling. The findings showed that cognitive costs playa mediating role between service quality and store loyalty. The findings also showed that physical environment indirectly affected store loyalty through cognitive cost. However, personal service had both direct effect and indirect effect on store loyalty. It was also appeared that there were differences in the models between customers and prospects.

• Journal of Distribution Science
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• v.19 no.9
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• pp.113-123
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• 2021

Purpose: BTS Meal at McDonald's was launched in May 2021 in selected countries all over the world. BTS fans in Indonesia bought the BTS Meal and collectively donated to the online delivery drivers as a form of empathy. As a quantitative study, this paper aims to identify the influencing factors in sociopsychology for fans to buy products (BTS Meal) available online using celebrity endorsement strategy, as well as demonstrating social empathy as an extended effect. Research design, data and methodology: empirical research was conducted through an online survey sent to 150 participants using the purposive sampling method. Participants were BTS fans, or ARMYs, who bought BTS Meal and conducted donations. Data were then sorted and processed with path regression. Results: preference and role model influenced the buying behavior; however, these factors influenced social empathy only when mediated by consumption. Preference and role model alone did not have a direct influence on social empathy. Conclusions: Consumer behavior insight is relevant in distribution science. A meal distribution involving brand ambassadors is considerable, particularly with celebrities demonstrating quality in capturing fans' hearts through role modeling. When a distribution is conducted online using a brand ambassador, buying behavior could lead to a social impact.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.519-529
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• 2021

This study aims to investigate the impact of Human Resource Management Practices (HRMP) on improving Employee Performance (EP). The study is accomplished by hypothesizing the impact of HRMP on EP, additionally, this impact is theorized to be mediated through job satisfaction. Employee engagement is also taken into account because of the potential moderating effect it has within the theorized model. Data was collected from 480 questionnaires which were distributed among commercial banks' workers in Jordan and were analyzed using structural equation modeling techniques (SEM), path analysis, and confirmatory factor analysis (CFA). Analysis of a moment structures (AMOS) software version 24 was applied to complete our analysis. The results show that HRMP had a positive impact on EP, as well as job satisfaction and its components (job stability and job enrichment). The mediating role of job satisfaction (enrichment and stability) was discovered. Finally, employee engagement emerged as a moderating variable linking HRMP and EP. The findings of this study show the importance of the role played by job satisfaction and employee engagement in achieving human resources performance goals. Future analysis is recommended to gain deeper insight into the relationship between HRMP, job satisfaction, worker training, and performance appraisal.

• The Journal of Information Systems
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• v.29 no.4
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• pp.57-76
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• 2020

Purpose Although examining the antecedents of employees' extra-role behavior (i.e. information security participation behavior) in the information security context is significant for researchers and practitioners, most behavioral security studies have focused on employees' in-role behavior (i.e. information security policy compliance). Thus, this research addresses this gap by investigating how organizational information security climate influences information security participation behavior based on social information processing theory and Griffin and Neal's safety model. Design/methodology/approach We developed a research model by applying Griffin and Neal's safety model to the information security context and then tested our research model by conducting an online survey for employees of organizations with information security policies. Structural equation modeling (SEM) with SmartPLS 3.3.2 is used to test the corresponding hypothesis. Findings Our results show that organizational information security climate, information security knowledge, information security motivation are effective in motivating information security participation behavior. Also, we find that organizational information security climate positively influences both information security knowledge and information security motivation. Our findings emphasize the importance of organizational information security climate because it is capable of affecting employees on information security participation behavior. Our study contributes to the literature on information security by exploring the role of organizational information security climate in enhancing employees' information security participation behavior.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.33-44
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• 2022

Women entrepreneurs play a vital role in employment creation, economic development, and growth. Women entrepreneurship is deep-rooted in the social and cultural norms and values of society. Women's entrepreneurship contribution is still invisible and needs to be properly investigated. The current research study explores "how institutions affect women's entrepreneurial performance in Pakistan" by using institutional and social cognitive theories. Focusing on the Formal and informal institutions, this research examines how institutions are affecting women's entrepreneurial performance by taking the mediating role of women's entrepreneurial self-efficacy and ethical decision making. A 7-point Likert scale research questionnaire is used to collect primary data. Data on active entrepreneurs are collected from the Peshawar, Mardan, and Abbottabad divisions of KPK's Women Chambers of Commerce. The data is empirically tested through the path analysis technique of structural equation modeling (SEM) through SMART PLS 3. The results indicated that women's entrepreneurial self-efficacy and ethical decision-making strongly mediate both institutions and significantly affect women's entrepreneurial performance. The study suggests that government and concerned departments should pay due attention to determinants like informal institutions and social constraints to boost women's entrepreneurial performance.

• Asia-Pacific Journal of Business
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• v.12 no.3
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• pp.51-69
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• 2021

Purpose - Based on literature studies of movie reviews and movie ratings, this study raised two research questions on the contents of online word of mouth and the number of movie screens as mediator variables. Research question 1 wanted to figure out which topics of word groups had a positive or negative impact on movie ratings. Research question 2 tried to identify the role of the number of movie screens between movie ratings and box office outcomes. Design/methodology/approach - Through R program, this study collected about 82,000 movie reviews and movie ratings posted on Naver's movie website to examine the role of online word of mouths and movie screen counts in 10 movies that were considered commercially unsuccessful with fewer than 2 million viewers despite securing about 1,000 movie screens. To confirm research question 1, topic modeling, a text mining technique, was conducted on movie reviews. In addition, this study linked the movie ratings posted on Naver with information of KOBIS by date, to identify the research question 2. Findings - Through topic modeling, 5 topics were identified. Topics found in this study were largely organized into two groups, the content of the movie (topic 1, 2, 3) and the evaluation of the movie (topics 4, 5). When analyzing the relationship between movie reviews and movie ratings with 5 mediators identified in topic modeling to probe research question 1, the topic word groups related to topic 2, 3 and 5 appeared having a negative effect on the netizen's movie ratings. In addition, by connecting two secondary data by date, analysis for research question 2 was implemented. The outcomes showed that the causal relationship between movie ratings and audience numbers was mediated by the number of movie screens. Research implications or Originality - The results suggested that the information presented in text format was harder to quantify than the information provided in scores, but if content information could be digitalized through text mining techniques, it could become variable and be analyzed to identify causality with other variables. The outcomes in research question 2 showed that movie ratings had a direct impact on the number of viewers, but also had indirect effects through changes in the number of movie screens. An interesting point is that the direct effect of movie ratings on the number of viewers is found in most American films released in Korea.

• Journal of The Korean Association For Science Education
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• v.40 no.1
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• pp.29-40
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• 2020

The purpose of this study is to explore how a high school science teacher (Teacher E) shifted her understanding and facilitation of scientific modeling through participation in a professional learning community (PLC) for over a year. Based on socially situated theory of learning, I focused on examining Teacher E's frames about scientific modeling from her social interactions. Teacher E participated in her school-based PLC over a year and collaborated with other science teachers, coaches, and researchers to improve science instruction. I qualitatively explored her participation in 6 full-day professional learning opportunities-studios-where the PLC members collectively planned, implemented, and debriefed modeling-based lessons. Especially, I focused on two Studios (Studio 2, 6) where Teacher E became the host teacher and implemented the lessons. I also examined her classroom teaching in those Studios. To understand how the PLC inquiry affected the shifts observed in Teacher E's understanding and practice, I explored how the inquiry evolved over the 6 Studios. Findings suggest that in Studio 2, Teacher E viewed students' role in scientific modeling as to fill out the worksheet with "correct" answers. Meanwhile, in Studio 6, she focused on helping students collaborate to construct explanatory models of phenomena using evidence. The PLC inquiry, focused on supporting students' construction of evidence-based explanations and collaboration in scientific modeling, seemed to promote the shifts observed in Teacher E's understanding and facilitation of scientific modeling. These findings can inform educational researchers and practitioners who aim to promote teachers' professional learning to support students' epistemic practices.

• Journal of the Korean Society of Radiology
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• v.16 no.5
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• pp.595-602
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• 2022

This study tried to suggest the most efficient learning rate for accurate and efficient automatic diagnosis of medical images for chest X-ray pneumonia images using deep learning. After setting the learning rates to 0.1, 0.01, 0.001, and 0.0001 in the Inception V3 deep learning model, respectively, deep learning modeling was performed three times. And the average accuracy and loss function value of verification modeling, and the metric of test modeling were set as performance evaluation indicators, and the performance was compared and evaluated with the average value of three times of the results obtained as a result of performing deep learning modeling. As a result of performance evaluation for deep learning verification modeling performance evaluation and test modeling metric, modeling with a learning rate of 0.001 showed the highest accuracy and excellent performance. For this reason, in this paper, it is recommended to apply a learning rate of 0.001 when classifying the presence or absence of pneumonia on chest X-ray images using a deep learning model. In addition, it was judged that when deep learning modeling through the application of the learning rate presented in this paper could play an auxiliary role in the classification of the presence or absence of pneumonia on chest X-ray images. In the future, if the study of classification for diagnosis and classification of pneumonia using deep learning continues, the contents of this thesis research can be used as basic data, and furthermore, it is expected that it will be helpful in selecting an efficient learning rate in classifying medical images using artificial intelligence.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.217-229
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• 2020

Globally, information protection of organization has become an essential management factor, and organizations continue to invest high-level resources for information security. Security threats from insiders are not decreasing. The purpose of this study is to present the antecedence factors to mitigate the role conflict that is the cause of the security avoid behavior. For the study, a survey was conducted for employees of organizations with information security policies, and structural equation modeling was conducted using a total of 383 samples for hypothesis verification. As a result of the analysis, role conflict increased avoid behavior, and goal difficulty, goal specificity, justice, and trust mitigated role conflict. In particular, justice influenced the reduction of role conflict and avoid behavior through trust. The implications were to present the causes and mitigation factors for avoid behavior of employee, and it is judged that it will help the organization to establish a security strategy.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.247-258
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• 2021

Recently, organizations are demanding strict information security behavior from their employees. Strict information security policies and techniques can cause information security related stress. The purpose of this study is to present the negative effects of information security related techno stress and role stress that reduce knowledge sharing behavior and person-organization fit. The survey was conducted to people working in organizations with information security policies and system, and the research hypothesis was verified by structural equation modeling using 309 samples. As a result of the study, person-organization fit had a positive effect on knowledge sharing behavior, but role stress had a negative effect. And, techno-stress negatively affected the person-organization fit. Additionally, role ambiguity had a moderating effect between person-organization fit and knowledge sharing behavior. The implications of the study were to confirm the negative effects of information security related techno stress and role stress, and to suggest directions for minimizing negative behavior of insiders.