• Journal of Information Science Theory and Practice
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• v.5 no.1
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• pp.47-64
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• 2017

Purpose: This study aims to assess the level of job satisfaction among the practicing Library and Information Science (LIS) professionals in India. Some of the key variables studied include salary, work environment, professional position, working hours, location, employee participation in administrative matters, recognition, and advancement. Scope: The study is limited to LIS professionals in India; however, the results of the study show some degree of commonality among LIS professionals across the world. Methodology/Approach: The study has been purely undertaken by analyzing the primary data collected from practicing library and information professionals across India by circulating an online questionnaire, using Google services and by posting the link on various social groups and other social networking sites such as Groups, Facebook, LinkedIn, discussion forums, and e-mails. Findings: Responses were generated across 20 states and union territories of the country, representing 88.15% territory of India. Of the total responses generated, 72.88% are males and 27.12% females. From the data analysis it emerged that every third library professional in India enters in to LIS profession by chance and not by choice, as 35.59% respondents expressed that they landed in the LIS profession by chance and 60.45% by choice. More than 77% respondents have expressed their willingness to change their present employer, if given better opportunity. More than 80% professionals either fully or partly agree that most of the LIS professionals across India are dissatisfied with their employers. All these and many more areas have been explored, which reflect the aspects of job satisfaction and dissatisfaction among LIS professionals in India.

• Fashion & Textile Research Journal
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• v.23 no.4
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• pp.458-468
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• 2021

In the context of Sustainable development, China, the world's second-largest apparel market, is also concerned about the environmental impact of fiber waste. Currently, there is a great interest in sustainable fashion in both supply and demand in China. Based on the theory of planned behavior(TPB), the determinants of sustainable fashion consumption(SFC) of Chinese consumers were evaluated in this study: man-nature orientation(MNO) and environmental knowledge(EK) as motivation and perceived online-store accessibility(POA) and perceived money availability(PMA) as barriers. Wenjuanxing, a Chinese professional survey collection agency, conducted an online survey of millennials in Shanghai, China. The final sample size for the survey was 215. Partial least squares structural equation modeling was employed to test the proposed hypotheses. The results indicated that attitudes, subjective norms, and perceived behavioral control significantly affected the purchase intention towards sustainable fashion products. MNO and EK influenced the attitude, whereas EK, POA, and PMA influenced perceived behavioral control. This study contributes to the TPB literature through the examination of four antecedents: MNO, EK, POA, and PMA. The findings provide valuable insights for retailers and markets based on the identification of the motivations and barriers that enhance the purchasing intention of Chinese millennials toward SFC.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.6
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• pp.1142-1160
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• 2022

Text data plays a significant role in understanding and analyzing trends in consumer, business, and social sectors. For text analysis, there must be a corpus that reflects specific domain knowledge. However, in the field of fashion, the professional corpus is insufficient. This study aims to develop a taxonomy and thesaurus that considers the specialty of fashion products. To this end, about 100,000 fashion vocabulary terms were collected by crawling text data from WSGN, Pantone, and online platforms; text subsequently was extracted through preprocessing with Python. The taxonomy was composed of items, silhouettes, details, styles, colors, textiles, and patterns/prints, which are seven attributes of clothes. The corpus was completed through processing synonyms of terms from fashion books such as dictionaries. Finally, 10,294 vocabulary words, including 1,956 standard Korean words, were classified in the taxonomy. All data was then developed into a web dictionary system. Quantitative and qualitative performance tests of the results were conducted through expert reviews. The performance of the thesaurus also was verified by comparing the results of text mining analysis through the previously developed corpus. This study contributes to achieving a text data standard and enables meaningful results of text mining analysis in the fashion field.

• Journal of Korean Library and Information Science Society
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• v.30 no.2
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• pp.179-198
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• 1999

The scope and the magnitude of change that are occurring in libraries today are exciting and the new developments in information technology challenging. A change in vision as well as activities and operations is required. Librarians need to make full use of information and multimedia technology to support this greatly expanded teaching venture. During the period of the 1st to 5th conference of Korean Society for Information Management produces 199 articles. The articles composed of 25 sub subjects of the knowledge of the library and information science. Some of the interesting sub-subjects were as follows: Information retrieval, Indexing, Classification, Library management, Information service, Cataloging and Digital library. The professional librarians pointed out the essential curricula of the library and informations science education. These are Introduction to Library Science, Organization of Information Resources, Information Retrieval, Multimedia technology, Information System, Library Management, Networks, Data Base, Indexing & thesaurus, Collection development, User Studies, New Media, Online Search.

• Korean Journal of Childcare and Education
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• v.15 no.3
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• pp.21-38
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• 2019

Objective: The goal of this study was to investigate the effects of early childhood teachers' current working conditions such as welfare and wages, working hours, ECEC center's environmental characteristics, and parental involvement and community engagement on the professionalism of teachers. Method: A total of 988 respondents participated in the nationwide online survey. The data were analyzed by correlation analysis and structual equation modeling. Results: First, there were no statistically significant direct effects of ECEC teachers' working conditions on teacher professionalism. Second, there were significant direct effects of teacher efficacy and well-being on teacher professionalism. Third, there were significant indirect effects of teachers' working conditions on their professionalism, via efficacy and well-being, linking the impact of working conditions and the professionalism of teachers. Conclusion/Implication: The results of this structural model imply that policy input for teacher welfare, wage increases, and the enhancement of teachers' well-being and efficacy are valid and significant for the professional development of ECEC teachers. These results provide the data-driven evidence for the importance of welfare and socio-cognitive approaches for teachers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.7
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• pp.2414-2433
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• 2021

This article focuses on providing remedial solutions for COVID disease through the data collection process. Recently, In India, sudden human losses are happening due to the spread of infectious viruses. All people are not able to differentiate the number of affected people and their locations. Therefore, the proposed method integrates robotic technology for monitoring the health condition of different people. If any individual is affected by infectious disease, then data will be collected and within a short span of time, it will be reported to the control center. Once, the information is collected, then all individuals can access the same using an application platform. The application platform will be developed based on certain parametric values, where the location of each individual will be retained. For precise application development, the parametric values related to the identification process such as sub-interval points and intensity of detection should be established. Therefore, to check the effectiveness of the proposed robotic technology, an online monitoring system is employed where the output is realized using MATLAB. From simulated values, it is observed that the proposed method outperforms the existing method in terms of data quality with an observed percentage of 82.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.239-248
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• 2017

As China has rapid economic growth and the increase of national income that makes the development of Chinese cosmetic industry has huge market potential of the industry. But most of the cosmetics market is monopolized by foreign companies, the local cosmetics production enterprises are not equipped with professional production equipment. In these reasons Chinese cosmetics have low quality, inadequate research and development, poor cosmetics brand, unclear marketing, trade and technical barriers and other issues. In order to fulfill the purpose of this paper, data analysis was carried out focusing on domestic & foreign research papers, statistics, reference books, research reports, internet websites etc. As a result of the analysis, in order to increase the export of Chinese cosmetics, it should be strengthened the development of manufacturing technology and brand creativity, eradicating illegal copies, use the online market circulation way, the construction scheme, and cosmetic technical barriers and deregulation should be through the diversification of propaganda, etc. This paper describes that the project of Chinese cosmetics export increase and find the inspirations from other products of export. But national, regional specific programs which have huge information is the future research topics.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.179-192
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• 2014

Keeping in line with the recent changes in the information technology environment, the online learning environment that supports multiple users' participation such as MOOC (Massive Open Online Courses) has become important. One of the largest professional associations in Information Technology, IEEE Computer Society, announced that "Supporting New Learning Styles" is a crucial trend in 2014. Popular MOOC services, CourseRa and edX, have continued to build active learning environment with a large number of lectures accessible anywhere using smart devices, and have been used by an increasing number of users. In addition, collaborative web services (e.g., blogs and Wikipedia) also support the creation of various user-uploaded learning materials, resulting in a vast amount of new lectures and learning materials being created every day in the online space. However, it is difficult for an online educational system to keep a learner' motivation as learning occurs remotely, with limited capability to share knowledge among the learners. Thus, it is essential to understand which materials are needed for each learner and how to motivate learners to actively participate in online learning system. To overcome these issues, leveraging the constructivism theory and collective intelligence, we have developed a social bookmarking system called WeStudy, which supports learning material sharing among the users and provides personalized learning material recommendations. Constructivism theory argues that knowledge is being constructed while learners interact with the world. Collective intelligence can be separated into two types: (1) collaborative collective intelligence, which can be built on the basis of direct collaboration among the participants (e.g., Wikipedia), and (2) integrative collective intelligence, which produces new forms of knowledge by combining independent and distributed information through highly advanced technologies and algorithms (e.g., Google PageRank, Recommender systems). Recommender system, one of the examples of integrative collective intelligence, is to utilize online activities of the users and recommend what users may be interested in. Our system included both collaborative collective intelligence functions and integrative collective intelligence functions. We analyzed well-known Web services based on collective intelligence such as Wikipedia, Slideshare, and Videolectures to identify main design factors that support collective intelligence. Based on this analysis, in addition to sharing online resources through social bookmarking, we selected three essential functions for our system: 1) multimodal visualization of learning materials through two forms (e.g., list and graph), 2) personalized recommendation of learning materials, and 3) explicit designation of learners of their interest. After developing web-based WeStudy system, we conducted usability testing through the heuristic evaluation method that included seven heuristic indices: features and functionality, cognitive page, navigation, search and filtering, control and feedback, forms, context and text. We recruited 10 experts who majored in Human Computer Interaction and worked in the same field, and requested both quantitative and qualitative evaluation of the system. The evaluation results show that, relative to the other functions evaluated, the list/graph page produced higher scores on all indices except for contexts & text. In case of contexts & text, learning material page produced the best score, compared with the other functions. In general, the explicit designation of learners of their interests, one of the distinctive functions, received lower scores on all usability indices because of its unfamiliar functionality to the users. In summary, the evaluation results show that our system has achieved high usability with good performance with some minor issues, which need to be fully addressed before the public release of the system to large-scale users. The study findings provide practical guidelines for the design and development of various systems that utilize collective intelligence.

• Human Ecology Research
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• v.57 no.1
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• pp.27-40
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• 2019

Based on the stress process model, this study examined the process of how military personnel's occupational characteristics (i.e., long and unspecified work hours, frequent moving) is associated with their wives' marital satisfaction and parenting stress. We focused on whether the wives' perception toward the characteristics of military occupation and the wives' military family pride mediated the association. An online survey was conducted with 323 women married to professional active-duty military husbands, had at least one preschool child, and lived with the husband and child. Using structural equation modeling, we found that the wives' perception of military occupational characteristics and military family pride mediated the relationship between their husband's work hours and the wives' marital satisfaction and parenting stress. This serial multiple mediation indicated that the longer and more unspecified the husband's work hours were, the more negative the wife's perceptions were towards his military occupation, which led to lower marital satisfaction and higher parenting stress. The single mediation effect of negative perceptions was also significant. Frequent moving was indirectly related to the wives' marital satisfaction and parenting stress through only the wives' negative perceptions toward military occupational characteristics. This result indicates that military spouses who experienced frequent moves are likely to have more negative attitudes toward military occupation, which leads to lower marital satisfactions and higher parenting stress. This study contributes to the literature by identifying the underlying mechanisms between military occupational characteristics and military wives' family life through the mediating roles of negative perceptions and military family pride.

• International Journal of Knowledge Content Development & Technology
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• v.12 no.4
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• pp.25-39
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• 2022

Perceptions of Library and Information (LI) professionals in Nigeria and the impact of COVID-19 on libraries, librarians and library services, were studied. The significance of demographic factors on LI professionals' perception of COVID-19 and its impact on libraries was tested. Descriptive survey design and Purpose sampling technique were adopted. LIS professionals in Nigeria constituted the population, and an online questionnaire designed by the researchers through Microsoft Forms was used. Descriptive analysis of respondents' demographic data and their covid-19 perception were presented in frequencies and percentages using tables while multivariate regression technique was used to test the significance of relationship between variables at P < 0.05. Findings revealed that many (61.4%) of the respondents agreed that COVID-19 is real but have personal reservations. However, 47.5% indicated that COVID-19 is a scientific invention. On the impacts of COVID-19 on libraries, the study found that COVID-19 is a game changer that will enhance the creation of new services by libraries, cause the reconfiguration of library space for safe operations in post-COVID, establishment of new rules and regulations, and more reliance on e-resources. On the test of association, educational qualification of respondents had a significant impact on respondents' perceptions that COVID-19 will reduce the use of library print resources (P-value = 0.005, B: 0.38, [95% CI: 0.115 - 0.646]) and that library will create new services to address the changes caused by COVID-19. Also, educational qualification of respondents significantly influenced respondents' perception that COVID-19 is real. The study recommends that libraries should take advantage of the season to innovate, and that public health institutions should continually educate people on corona virus to disabuse people's mind of conspiracy theories.