• Title/Summary/Keyword: Positive Opinion

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Unveiling the Mediating Role of Personality: Exploring the Nexus between Transformational Leadership and Work Stress in Public Organizations

  • Rohana Ahmad;Mohd Fo'ad Sakdan;Halimah Abdul Manaf
    • Asian Journal for Public Opinion Research
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    • v.12 no.1
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    • pp.1-27
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    • 2024
  • This study investigates the interplay between transformational leadership, personality, and work stress in public organizations, focusing on public servants in Putrajaya, Kuala Lumpur. Data from 702 public servants in Putrajaya, Kuala Lumpur, out of 800 distributed questionnaires, were analyzed. Rigorous analysis employed a structural equation model (SEM) with partial least squares (PLS-SEM) methodology. Our empirical analysis challenges the conventional belief of a positive correlation between transformational leadership and work stress in public organizations, revealing no direct link between transformational leadership and increased work stress in this context. Our study highlights a significant positive correlation between personality and work stress among public servants, emphasizing the role of individual personality characteristics in shaping work-related stress levels. Finally, personality emerged as a crucial mediator in the transformational leadership-work stress relationship, indicating that transformational leadership indirectly influences work stress through its impact on personality. This underscores the importance of considering personality as a mediating factor in understanding the transformational leadership-work stress dynamic in public organizations. In summary, our research provides insights into the relationship between transformational leadership, personality, and work stress in public organizations. These findings challenge conventional assumptions, emphasize individual differences in stress levels, and underscore the mediating role of personality in addressing work stress among public servants.

Comparison and Analysis of Domestic and Foreign Sports Brands Using Text Mining and Opinion Mining Analysis (텍스트 마이닝과 오피니언 마이닝 분석을 활용한 국내외 스포츠용품 브랜드 비교·분석 연구)

  • Kim, Jae-Hwan;Lee, Jae-Moon
    • The Journal of the Korea Contents Association
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    • v.18 no.6
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    • pp.217-234
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    • 2018
  • In this study, big data analysis was conducted for domestic and international sports goods brands. Text Mining, TF-IDF, Opinion Mining, interestity graph were conducted through the social matrix program Textom and the fashion data analysis platform MISP. In order to examine the recent recognition of sports brands, the period of study is limited to 1 year from January 1, 2017 to December 31, 2017. As a result of analysis, first, we could confirm the products representing each brand. Second, I could confirm the marketing that represents each brand. Third, the common words extracted from each brand were identified. Fourth, the emotions of positive and negative of each brand were confirmed.

The Impact of Influential's Betweenness Centrality on the WOM Effect under the Online Social Networking Service Environment (온라인 소셜 네트워크 서비스 환경에서 유력자의 매개 중심성이 구전 효과에 미치는 영향)

  • Park, Ji Hye;Suh, Bomil
    • Journal of Information Technology Applications and Management
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    • v.20 no.2
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    • pp.127-146
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    • 2013
  • The online social networking services (SNS) have been growing as the means of communication. In this study, we investigated word-of-mouth (WOM) effect under the SNS environment and evaluated the impact of message sender's influence on the WOM effect. Especially, this study focused on the betweenness centrality calculated through the social network analysis (SNA) of SNS network information, and proposed it as the measure of WOM message sender's influence, SNA may provide more accurate and objective measures than subjective self-reporting survey method. Fifty-one Facebook users responded to each of their four Facebook friends, who had been selected based on their betweenness centrality, Statistical analyses were performed using the responses and the betweenness centralities of the Facebook friends. The results showed that the direction (positive vs, negative) of a WOM message in SNS had an impact on the attitude of the message receiver toward the product. Moreover, the betweenness centrality of the message sender as well as his/her opinion leadership had a moderating effect on the WOM effect. Opinion leadership is a measure that has been frequently used for indicating the influence of WOM message sender in the previous studies. Considering the result that the betweenness centrality of the message sender was Significantly correlated to his/her opinion leadership, the betweenness centrality can be used for indicating the influence of WOM message sender.

Understanding the Changes in Tourists' Opinions in the Era of the COVID-19

  • Chernyaeva, Olga;Ziyan, Yao;Hong, Taeho
    • The Journal of Information Systems
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    • v.31 no.2
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    • pp.239-261
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    • 2022
  • Purpose The purpose of this study is to explore and compare changes in tourist opinion during the COVID-19 pandemic. Since the COVID-19 outbreak has caused changes in all areas of our lives, the conditions related to confinement during a lockdown have led to changes in tourists' habits and behaviors. Design/methodology/approach To analyze opinion changes about tourist attractions, this study performed topic modeling by summarizing topics into five dimensions: management, scenery, price, suggestion, and safety; then, based on the topic modeling results, sentiment analysis and emotion analysis were conducted to explore the change of tourists' opinion during the COVID-19 pandemic. Findings According to the results, this study confirmed the pandemic's positive effect on tourists' opinions about attractions after the COVID 19 outbreak. Presumably due to the absence of lines and crowed. Moreover, the dimension 'Safety' started to appear in US tourists' attractions reviews only in the period after the outbreak and during the mass vaccination. These results mean that tourists started to care more about safety due to the impact of the COVID-19 pandemic.

A Study of Consumer Perception on Freediving Suits Utilizing Big Data Analysis (빅데이터 분석을 활용한 프리다이빙 슈트에 대한 소비자 인식 연구)

  • Ji-Eun Kim;Eunyoung Lee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.26 no.2
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    • pp.87-99
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    • 2024
  • Freediving, an underwater leisure sport that involves diving without the use of a breathing apparatus, has gained popularity among younger demographics through the viral spread of images and videos on social media platforms. This study employs prominent Big Data analysis techniques, including text mining, Latent Dirichlet Allocation (LDA) topic analysis, and opinion mining to explore the keywords associated with freediving suits over the past five years. The research aims to analyze the rapidly evolving market trends of freediving suits and the increasingly complex and diverse consumer perceptions to provide foundational data for activating the freediving suit market and developing strategies for sustained growth. The study identified the keyword 'size' related to freediving suits and conducted opinion mining on 'freediving suit sizes'. Although the results showed a higher positive than negative sentiment, negative keywords were also extracted, indicating the need to understand and mitigate the negative factors associated with 'size'. The findings offer vital guidelines for the advancement of the freediving suit market and enhancing consumer satisfaction. This study is important as it contributes foundational data for continuous growth strategies of the freediving suit market.

Exploring Public Opinion to Analyze the Consequences of Social Media on Students' Behaviors

  • Asif Nawaz;Tariq Ali;Saif Ur Rehman;Yaser Hafeez
    • International Journal of Computer Science & Network Security
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    • v.24 no.8
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    • pp.159-168
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    • 2024
  • Social media sites like as twitter, Facebook and flicker widely used by people, not only as a source of distributing information but also as for communication purpose, with the advancement of technology today. Now a day's one of the most frequently used communication methods are social networks. In various research studies, their use in different fields and the effects of social media on student's behaviors, chat sites and blogs caused by Facebook has been analyzed. In order to obtain the basic data, a general scanning model that is public opinion and views of parents and comments that are openly available across social media sites, used to perceive attitude of graduate students, instead of traditional methods like questionnaires and survey's conduction. A dataset of nearly 20000 reviews of parents was collected from different social media networks about their children's, while in another dataset in which 362 graduate school teachers who observe the students to use social media during classes, labs and in campus during free times, their comments about those students were chosen. As per this study, through different positive and negative factors the detailed analysis has been performed to show effect of social media on student's behavior.

Automatic Construction of a Negative/positive Corpus and Emotional Classification using the Internet Emotional Sign (인터넷 감정기호를 이용한 긍정/부정 말뭉치 구축 및 감정분류 자동화)

  • Jang, Kyoungae;Park, Sanghyun;Kim, Woo-Je
    • Journal of KIISE
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    • v.42 no.4
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    • pp.512-521
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    • 2015
  • Internet users purchase goods on the Internet and express their positive or negative emotions of the goods in product reviews. Analysis of the product reviews become critical data to both potential consumers and to the decision making of enterprises. Therefore, the importance of opinion mining techniques which derive opinions by analyzing meaningful data from large numbers of Internet reviews. Existing studies were mostly based on comments written in English, yet analysis in Korean has not actively been done. Unlike English, Korean has characteristics of complex adjectives and suffixes. Existing studies did not consider the characteristics of the Internet language. This study proposes an emotional classification method which increases the accuracy of emotional classification by analyzing the characteristics of the Internet language connoting feelings. We can classify positive and negative comments about products automatically using the Internet emoticon. Also we can check the validity of the proposed algorithm through the result of high precision, recall and coverage for the evaluation of this method.

Facebook Fan Page Evaluation System Based on User Opinion Mining (오피니언 마이닝을 이용한 페이스북 팬 페이지 평가 시스템)

  • Phan, Trong-Ngoc;Yoo, Myungsik
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.12
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    • pp.2488-2490
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    • 2015
  • In this paper, we propose the Facebook fan page evaluation system, which evaluates user opinions based on lexicon-based analysis and positive/negative response from users. By comparing the performance with existing evaluation systems, it is verified that the proposed system can evaluate the fan page in more accurate way.

Web Contents Mining System for Opinion Information Searching Engine (의견정보 검색엔진을 위한 웹 콘텐츠 마이닝 시스템)

  • Joo, Hae-Jong;Park, Young-Bae;Choi, Hae-Gil
    • The Journal of Information Technology
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    • v.12 no.3
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    • pp.7-17
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    • 2009
  • This research is about the design of an opinion drawing and analysis system through statistical based Web Mining of web contents, where data of opinions are automatically drawn and analyzed concerning web documents that are scattered around in various web sites that exist within the internet. Furthermore, provides a search service that can easily classify positive/negative opinions and also provide searching and statistical information. Users, who want to search for opinions, can input a specific keyword to observe opinions of others easily. In addition, there is a merit in materializing the monitoring system.

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Associations Between Grit, Sustainable Behavior, and Emotional Well-Being

  • Choi, Jihye
    • Asian Journal for Public Opinion Research
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    • v.8 no.2
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    • pp.144-159
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    • 2020
  • This paper investigated the impact of grit on sustainable behavior and emotional well-being. A questionnaire about grit, sustainable behavior, and emotional well-being was administered to 273 undergraduate students in South Korea. To examine the association between the variables, this study used two spell out (SEM) comparison models. The results show that grit is positively related to sustainable behavior and emotional well-being. The effect of grit on emotional well-being was mediated by sustainable behavior. The effect of grit is higher on sustainable behavior than emotional well-being. In addition, sustainable behavior has a positive relationship to emotional well-being. The results show that the grit has an important implication for sustainable environment education and individual well-being.