• Title/Summary/Keyword: Media distribution

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Influence of Electronic Word of Mouth on Visitor's Interest to Tourism Destinations

  • APRILIA, Fitri;KUSUMAWATI, Andriani
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.2
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    • pp.993-1003
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    • 2021
  • The contribution made by the tourism sector is strategic enough to provide job opportunities and increase the state's foreign exchange which will be followed by development in the information and technology sectors. The population of this study includes all domestic tourists who visit the Batu City Angkut Museum over 17 years of age and who have obtained information via eWOM from other tourists. Based on the measurement, a minimum of 160 respondents must be selected as the research sample. Non-probability sampling techniques are used to select samples. Social media had been used by companies to provide information, services, and products related to tourism, and it was utilized by tourists to share information about their traveling experiences. Nowadays, tourists have become more selective and critical in selecting their destinations as they have become good observant in finding adequate information about certain destinations before deciding to visit the place. This reaction can be influenced by positive eWOM communication, positive image, and trust given to certain tourist destinations. Therefore, improving the number of visits requires the management of certain tourism service companies to apply proper marketing strategy and provide various advantages and best service quality to attract more visitors and give satisfaction to visitors.

The characteristics of democratization of fashion and fashionocracy in the global fashion industry (글로벌 패션산업에 나타난 패션 민주화의 특성과 패션 민주주의)

  • Suk, Hyojung
    • The Research Journal of the Costume Culture
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    • v.29 no.4
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    • pp.488-504
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    • 2021
  • This article examined the historical evolution of changes in the democratization of fashion, identified its characteristics, and defined 'fashionocracy - fashion democracy'- by analyzing various phenomena in the global fashion industry. This research will expand the field of fashion research and spark academic debates about fashion democracy. The democratization of fashion can be summarized in five periods; birth, introduction, early growth, growth, and maturity. The characteristics of the democratization of fashion include individual autonomy, accessibility that many people can access and enjoy, and diversity. According to the principles of democracy- "of the people, for the people, by the people" - which are based on freedom and equality, we have achieved fashion of the people and for the people so far. Furthermore, social media has shifted the balance of power to influencers and bloggers; as such, the masses who have consumed and enjoyed fashion democratization are becoming producers and promoters by actively participating in the process of making fashion, creating a new era of fashion democracy (fashionocracy): - by the people. Ultimately, fashionocracy consists of the '6P's' ; people (active and productive consumers), planet (society and environmental sustainability), products (genderless, ageless, inclusive), price (reasonable), place (multi-channel distribution, virtual spaces), and promotion (horizontal).

Antecedents to Consumer Satisfaction with Laundry Detergents and Fabric Softeners in Thailand: A SEM Analysis

  • CHEEWAPATTANANUKUL, Nawin;SAENGNOREE, Amnuay;DEEBHIJARN, Samart
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.8
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    • pp.157-167
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    • 2022
  • The global laundry detergents market in 2021 was valued at nearly $121 billion, with consumers being reported as heightening their search for hygienic products capable of fighting viruses. Therefore, the researchers undertook a study to determine how product innovation (PI), product quality (PQ), and product attitude (PA) effects Thai consumers' satisfaction (CS) with their purchase of laundry detergent and fabric softener. After the questionnaire's validity and reliability confirmation, the authors used multi-stage random sampling by region and province in January and February 2022 to collect 520 questionnaires. LISREL 9.10 was used in the CFA and SEM analysis of the six hypotheses, which were determined to be supported. The results showed that all three causal variables positively influenced CS, with a total effect (TE) R2 value = 87%. Also, latent variable total effect (TE) values showed that PI was strongest (0.93), then PQ (0.56), and finally, PA (0.54). Therefore, consumer satisfaction is essential in a firm's ongoing development and sustainability in a highly competitive, globalized world. Organizations must develop competitive strategies that adjust to consumer needs. Management must monitor online and social media sources where product reviews are given and adjust their strategies accordingly.

Impacts of Corporate Social and Philanthropy Communications on Customer Loyalty: New Evidence from Saudi Banking Market

  • SOMILI, Hassan M.
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.7
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    • pp.273-280
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    • 2022
  • The study aimed to determine the impact of societal participation on the customer loyalty of Saudi banks and identify the statistical differences in customer loyalty according to sex, age, education level, and occupation type. The independent variable is corporate societal participation, and the dependent represents customer loyalty. Corporate societal programs have two dimensions: social participation and philanthropic participation. The research population consists of Saudi workers in three sectors: government, military, and private reached 3.58 million people in 2021. The unit of analysis is the Saudi employee in one formal industry and dealing with the Saudi banks that offered corporate societal participation programs. The research used the appropriate stratified sampling method, and the recommended sample size reached 387 respondents. A fully structured questionnaire is used. The study concluded that corporate social programs have not impacted customer loyalty, while corporate philanthropy programs strongly affected customer loyalty. On the other hand, there are no differences in customer loyalty according to demographics (sex, age, education, and occupation type). Finally, the study presents a set of recommendations in the field of corporate social responsibility and develops the local communities.

Exploring How Gamification Design Drives Customers' Co-Creation Behavior in Taiwan

  • CHEN, Tser-Yieth;HUANG, Yu-Chen;LI, Pei-Fang
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.4
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    • pp.109-120
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    • 2022
  • This study has incorporated the mechanics-dynamics-emotions (MDE) and two behavioral learning paths to investigate the customers' co-creation behavior in Taiwan. The intuitive path begins with a gamification design that reflects the customers' proactive and innovative behavior; the cognitive path begins with persuasion knowledge remarks based on rational and reactive reasoning. These two paths conclude what forms user co-creation. The study collects data of 505 active social media users in Taiwan and employs structural equation modeling. The empirical findings demonstrate persuasive knowledge and gamification design are significantly associated with self-reference, and in turn, positively associated with co-creation. It indicates that cognitive behavior plays the main role in forming co-creation. Participants are more drawn to co-creation behaviors by the marketing contents that prompt reactive behaviors than proactive ones. Therefore, marketing managers can use appropriate stimuli to enhance co-creation behavior. Companies can design activities related to users, and more accessible for reactive, instead of proactive behavior, i.e., asking for their initiatives. It also suggests that companies' marketing campaigns should involve key opinion leaders matching the product image and the target audience's preferences. The novelty of this study is to introduce a novel augmented MDE framework to extend the "dynamics" into the incubation and implementation stage.

Class Specific Autoencoders Enhance Sample Diversity

  • Kumar, Teerath;Park, Jinbae;Ali, Muhammad Salman;Uddin, AFM Shahab;Bae, Sung-Ho
    • Journal of Broadcast Engineering
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    • v.26 no.7
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    • pp.844-854
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    • 2021
  • Semi-supervised learning (SSL) and few-shot learning (FSL) have shown impressive performance even then the volume of labeled data is very limited. However, SSL and FSL can encounter a significant performance degradation if the diversity gap between the labeled and unlabeled data is high. To reduce this diversity gap, we propose a novel scheme that relies on an autoencoder for generating pseudo examples. Specifically, the autoencoder is trained on a specific class using the available labeled data and the decoder of the trained autoencoder is then used to generate N samples of that specific class based on N random noise, sampled from a standard normal distribution. The above process is repeated for all the classes. Consequently, the generated data reduces the diversity gap and enhances the model performance. Extensive experiments on MNIST and FashionMNIST datasets for SSL and FSL verify the effectiveness of the proposed approach in terms of classification accuracy and robustness against adversarial attacks.

The Impact of Business Intelligence on the Relationship Between Big Data Analytics and Financial Performance: An Empirical Study in Egypt

  • Mostafa Zaki, HUSSEIN;Samhi Abdelaty, DIFALLA;Hussein Abdelaal, SALEM
    • The Journal of Asian Finance, Economics and Business
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    • v.10 no.2
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    • pp.15-27
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    • 2023
  • The purpose of this research is to investigate the impact of Business Intelligence (BI) on the relation between Big Data Analytics (BDA) and Financial Performance (FP), at the beginning we reviewed the academic accounting and finance literature to develop the theoretical framework of business intelligence, big data and financial performance in terms of definition, motivations and theories, then we conduct an empirical analysis based on questionnaire-base survey data collected. The researchers identified the study population in the joint-stock companies listed on the Egyptian Stock Exchange and operating in the sectors and activities related to modern technologies in information systems, big data analytics, and business intelligence, in addition to the auditing offices that review the financial reports of these companies, and The sector closest to the research objective is the communications, media, and information technology sector, where the survey list was distributed among the sample companies with (15) lists for each company, and (15) lists for each audit office, so that the total sample becomes (120) individuals (with a response rate 83.3%), The results show, First, Big data analytics significantly affect organizations' financial performance, second, Business intelligence mediates (partial) the relationship between big data analytics and financial performance.

Analytical model of transverse pressure loss in a rod array

  • Ricciardi, Guillaume;Peybernes, Jean;Faucher, Vincent
    • Nuclear Engineering and Technology
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    • v.54 no.7
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    • pp.2714-2719
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    • 2022
  • The present paper proposes some new computational methods and results in the framework of flow computation through congested domains seen as porous media, as it can be found in the core of a Pressurized Water Reactor (PWR). The flow is thus mostly governed by the distribution of pressure losses, both through the porous structures, such as fuel assemblies, and in the thin fluid layers between them. The purpose of the present paper is to consider the question of the interaction of a flow and a rod bundle from an analytical point of view gathering all the contributions through a set of equations as simple and representative as possible. It aims at demonstrating a sound understanding of the relevant phenomena governing the flow establishment in the geometry of interest instead of relying mainly on a posteriori observations obtained both experimentally and numerically. Comparison with two set of experimental results showed good agreement. The model proposed being analytical it appears easily implementable for studies needing an expression of fluid forces in a rod array as for fuel assembly bowing issue. It would be interesting to test the reliability of the model on other geometry with different P/R ratios.

Author's Ethical Behavior for Conducting Environmental Education-Related Research

  • WOO, Hyein
    • Journal of Research and Publication Ethics
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    • v.3 no.2
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    • pp.13-17
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    • 2022
  • Purpose: Environmental education-research mainly focuses on the relationship between people and the environment. The purpose of this study is to focus on elaborating on the various ethical behaviors crucial in environmental education-related research. The study utilized a literature review of initial studies conducted on the topic as the primary source of information. Research design, data and methodology: This study has selected the literature content analysis as a research design because this analysis tool provided the present author numerous and tremendous previous works in the realm of authors' ethical issues within environmental education area and prior research already confirmed the high quality of an instrument. Results: Based on the investigation of the literature analysis, the findings emphasize that, while making any choice regarding environmental studies and research, authors and researchers must consider how ethical behavior might be applied to the particular circumstance. There are three ethical behaviors for authors and they can be founded in the section 3 of this study. Conclusions: As a conclusion of this study, three major subfields of environmental ethics-resource ethics, animal ethics, and ethics of nature protection-serve as the foundation for ethical behavior in research on environmental education. The ethical treatment of scarce resources, deployable resources, and environmental media.

Differences in Preschool Children's Perceptions of Artificial Intelligence according to their Experiences with AI Robots in daycare centers (어린이집내 인공지능 로봇 사용경험 여부에 따른 유아의 인공지능 인식 차이)

  • Boram, Lee;Soojung, Kim
    • Korean Journal of Childcare and Education
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    • v.19 no.2
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    • pp.43-59
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    • 2023
  • Objective: This study investigated the differences in preschool children's perceptions of artificial intelligence (AI) and their distribution by latent profiles according to their experience with AI robots in daycare centers. Methods: The participants included 119 five-year-old children, 52 of whom had experience with AI robots in daycare centers and 67 of whom did not. Children's perceptions of AI were measured using the Godspeed scale from Bartneck et al.(2009). Data were analyzed using a t-test, latent profile analysis, and chi-square test. Results: The results showed that compared to the inexperienced group, the experienced group reported lower levels of animacy and perceived intelligence of AI robots, indicating higher levels of AI knowledge and understanding. In addition, the experienced group had a higher probability of belonging to the 'machine recognition' type than 'organism recognition' type, although the difference was not statistically significant. Conclusion/Implications: The findings suggest that experience with AI robots in daycare centers can improve children's AI knowledge and understanding. To further enhance this effect, it is necessary to increase the number of robots put into classrooms, and to consider various teaching media that reflect children's preferences.