• Title/Summary/Keyword: Corporate Social Media

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Comparing Corporate and Public ESG Perceptions Using Text Mining and ChatGPT Analysis: Based on Sustainability Reports and Social Media (텍스트마이닝과 ChatGPT 분석을 활용한 기업과 대중의 ESG 인식 비교: 지속가능경영보고서와 소셜미디어를 기반으로)

  • Jae-Hoon Choi;Sung-Byung Yang;Sang-Hyeak Yoon
    • Journal of Intelligence and Information Systems
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    • v.29 no.4
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    • pp.347-373
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    • 2023
  • As the significance of ESG (Environmental, Social, and Governance) management amplifies in driving sustainable growth, this study delves into and compares ESG trends and interrelationships from both corporate and societal viewpoints. Employing a combination of Latent Dirichlet Allocation Topic Modeling (LDA) and Semantic Network Analysis, we analyzed sustainability reports alongside corresponding social media datasets. Additionally, an in-depth examination of social media content was conducted using Joint Sentiment Topic Modeling (JST), further enriched by Semantic Network Analysis (SNA). Complementing text mining analysis with the assistance of ChatGPT, this study identified 25 different ESG topics. It highlighted differences between companies aiming to avoid risks and build trust, and the general public's diverse concerns like investment options and working conditions. Key terms like 'greenwashing,' 'serious accidents,' and 'boycotts' show that many people doubt how companies handle ESG issues. The findings from this study set the foundation for a plan that serves key ESG groups, including businesses, government agencies, customers, and investors. This study also provide to guide the creation of more trustworthy and effective ESG strategies, helping to direct the discussion on ESG effectiveness.

Insights Discovery through Hidden Sentiment in Big Data: Evidence from Saudi Arabia's Financial Sector

  • PARK, Young-Eun;JAVED, Yasir
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.6
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    • pp.457-464
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    • 2020
  • This study aims to recognize customers' real sentiment and then discover the data-driven insights for strategic decision-making in the financial sector of Saudi Arabia. The data was collected from the social media (Facebook and Twitter) from start till October 2018 in financial companies (NCB, Al Rajhi, and Bupa) selected in the Kingdom of Saudi Arabia according to criteria. Then, it was analyzed using a sentiment analysis, one of data mining techniques. All three companies have similar likes and followers as they serve customers as B2B and B2C companies. In addition, for Al Rajhi no negative sentiment was detected in English posts, while it can be seen that Internet penetration of both banks are higher than BUPA, rarely mentioned in few hours. This study helps to predict the overall popularity as well as the perception or real mood of people by identifying the positive and negative feelings or emotions behind customers' social media posts or messages. This research presents meaningful insights in data-driven approaches using a specific data mining technique as a tool for corporate decision-making and forecasting. Understanding what the key issues are from customers' perspective, it becomes possible to develop a better data-based global strategies to create a sustainable competitive advantage.

A Study on Consumer Characteristics According to Social Media Use Clusters When Purchasing Agri-food Online (온라인 농식품 구매시 소셜미디어 이용 군집에 따른 소비자특성에 대한 연구)

  • Lee, Myoung-Kwan;Park, Sang-Hyeok;Kim, Yeon-Jong
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.4
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    • pp.195-209
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    • 2021
  • According to the 2019-2020 social media usage survey conducted by the Seoul e-commerce center, 5 out of 10 consumers have experienced shopping through social media. The cost of traditional advertising media has been reduced and advertising spending on social media has risen by 74%, indicating that social media is becoming a more important marketing element. While the number of users of social media has increased and corporate marketing activities have increased accordingly, research has been conducted in various aspects of marketing such as user motivation for social media, satisfaction, and purchase intention. There was no subdivided study on the differences in the social media usage frequency of consumers in actual purchasing behavior. This study attempted to identify differences in consumer characteristics by cluster in the agrifood purchase situation by grouping them by type according to the frequency of use of social media for consumers who purchase agri-food online. Product involvement, product need, and online purchase channel Consumer characteristics such as demographic distribution, perceived risk, and eating and lifestyle in each cluster were checked for the three agrifood purchase situations including choice, and types for each cluster were presented. To this end, questionnaire data on the frequency of social media use and online agrifood purchase behavior were collected from 245 consumers, and the validity of the measurement variables was secured through factor analysis and reliability analysis. As a result of cluster analysis according to the frequency of social media use, it was divided into three clusters. The first cluster was a group that mainly used open social media, and the second cluster was a group that used both open and closed social media and online shopping malls; The third cluster was a group with low online media usage overall, and the characteristics of each cluster appeared. Through regression analysis, the effect on product involvement, product need, and purchase channel selection when purchasing agri-food online through each of the three clusters was confirmed through regression analysis. As a result of the regression analysis, the characteristic of cluster 1 in the situation of purchasing agri-food online is a male in his 30s living in a rural area who has no reluctance to purchase agri-food on social media or online shopping malls. The characteristics of cluster 2 are mainly consumers who are interested in purchasing health food, and the consumer characteristics are represented. In the case of cluster 3, when purchasing products online, they purchase after considering quality and price a lot, and the consumer characteristics are represented as people who are more confident in purchasing offline than online. Through this study, it is judged that by identifying the differences in consumer characteristics that appear in the agri-food purchase situation according to the frequency of social media use, it can be helpful in strategic judgments in marketing practice on social media customer targeting and customer segmentation.

Financial ESG and Corporate Sustainable Development: the Moderating Effect of Attention (금융업 ESG와 기업의 지속 가능한 발전: 관심도 조절 역할)

  • Dongmei Li
    • Journal of Digital Policy
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    • v.2 no.1
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    • pp.9-19
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    • 2023
  • ESG is a kind of financial data that pays more attention to corporate environment, social responsibility and corporate governance. This study explores the relationship between ESG and corporate sustainable development through empirical analysis. This study uses the regression method of fixed effects to conduct empirical research on the data of China's A-share listed companies from 2015 to 2020. The research results show that: good ESG performance can promote the sustainable development of enterprises. At the same time, the higher the attention, the better the ESG performance can promote the sustainable development of enterprises. This study enriches the related research on ESG and has certain reference value for promoting the sustainable development of enterprises.

Study on Corporate Facebook Posts and User Engagement of the KOSPI 100 Companies in Korea: Difference between B2B and B2C Companies (국내 100대 기업 페이스북 콘텐츠 전략과 인게이지먼트 연구: B2B·B2C 기업 간 차이를 중심으로)

  • Jo, Joohong;Ko, Chaeeun;Baek, Hyunmi
    • Knowledge Management Research
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    • v.23 no.3
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    • pp.65-88
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    • 2022
  • Companies actively engage with the public through social media to enhance sales and promote brand awareness, which was further encouraged by the pandemic. However, previous studies tend to consider companies as a group of identical features. This study focuses on the differences between B2B and B2C companies' social media content strategy in relation to user engagement. This study categorized KOSPI 100 companies that manage Facebook corporate fan pages into B2B and B2C, and then analyzed the contents they posted from January 1 to December 31, 2020. The result showed that B2C companies tended to use videos over images, prefer hashtags, and comment its product name more often compared to B2B companies. B2B companies preferred images, used more hyperlinks, and mentioned its company name more often. In B2B companies, images and length of text had positive effects on user engagement, while hyperlink and URL had negative effects. B2C companies' text length had positive effect on user engagement. This study provides practical implications to PR practitioners for establishing a social media strategy which enhances user engagement.

Employee's Business Outlook Disclosed Through Social Media And Employment Growth : The Case of Jobplanet (소셜미디어를 통한 직원의 기업전망 평가와 고용증가와의 상관성 : 잡플래닛 기업전망을 대상으로)

  • Byeongsoo, Kim;Ju Young, Kang
    • Smart Media Journal
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    • v.11 no.10
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    • pp.9-21
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    • 2022
  • The recent expansion of the use of social media has served as an opportunity to express users' opinions in real time in various fields such as society, economy, politics, and culture, and brought many platforms that provide various information about companies. Among them, Glassdoor.com which started 2008 in US provides users with evaluations of the current and the former employees of their companies and also provides a outlooks for the company's growth Such a platform has the utility of providing necessary information to whom want to find a job or change jobs. In addition to this, variable studies have shown that the company information provided through these platforms is useful for investors as well. In this study, it was tested whether the corporate growth prospects of employees provided by Jobplanet, a platform with a typical function similar to Glassdoor.com in Korea, have predictive power to predict actual corporate growth. The forecast provided by Jobplanet and the company's financial indicator data received from FnGuide were collected and composed of panel data and analyzed using fixed effect model regression analysis. As a result, it was found that companies with positive prospects had higher employment growth than companies with negative prospects. When the outlook was neutral, the employment growth rate was higher than that of companies with a negative outlook.

The Globalization Strategy and Performance of an Italian Franchise Optics Corporation: A Study of Luxottica

  • Na, Hwa-Sook;Lee, Sang-Youn;Kam, Woo-Kyoon
    • Journal of Distribution Science
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    • v.13 no.5
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    • pp.33-44
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    • 2015
  • Purpose - This study examined the Italian eyeglass industry and the status of the franchise market. Luxottica's global growth strategy was analyzed to provide insight into the strategy and development of the Italian eyeglass industry and its franchise business. Research design, data, methodology - Luxottica's annual report, public media material, and website were examined, in addition to data from professional institutions. For the domestic eyeglass industry and franchise business, data from professional organizations, franchise information disclosure documents of the Fair Trading Commission, media materials, and related papers were investigated. Results - The success factor turned out to be securing a global wholesaler with retailers in overseas markets. This successful strategy was based on the strong entrepreneurial spirit of the founder, innovative craftsmanship, and an excellent corporate culture including corporate social responsibility (CSR). Conclusions - Considering the current environment, for Luxottica to be a leading global company, it had to review and adopt a successful vertical integration strategy, from R&D to distribution, M&A of overseas wholesalers and retailers, creative design and technical development, and sustainable cultural development

Sustainability Criteria Identified in the Global Sourcing Practices of Global Fashion Retailers (글로벌 패션 기업의 해외 소싱 프로세스에서 나타난 지속 가능성 기준)

  • Lee, Ji Yeon
    • The Korean Fashion and Textile Research Journal
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    • v.24 no.2
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    • pp.206-216
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    • 2022
  • This study sought to examine the sustainability criteria found in the global sourcing practices of global fashion retailers. Sustainable supply chain management, with a particular focus on the sustainability criteria of global sourcing, was analyzed. This qualitative study was based on a focus group interview and corporate social responsibility (CSR) annual reports. Eight master categories, 18 middle categories, and 37 bottom categories were extracted. The key categories and their middle categories were as follows: (1) Social compliance (working conditions, employment, safety); (2) Environment concerns (environmental pollution management, eco-friendly production, supply chain environment); (3) Energy efficiency (energy saving program, store environment); (4) Consumer protection (restricted substances management, consumer product safety improvement); (5) Management system (code of conduct, triangle audit system); (6) Community social activities (local community service, voluntary activities, charitable activities); (7) External stakeholder engagement (media & non-governmental organization management, maintenance of relationship with local authority); (8) Brand protection (respect for companies' intellectual property). The findings of this study offer academically significant insights into the sustainability criteria that can be encountered by companies under diverse global sourcing scenarios, revealing that global sourcing by fashion retailers is not merely a means of reducing costs, but a way of generating new jobs and making a social contribution to developing countries. The study's findings also have practical significance, offering guidelines for general CSR activities in the global sourcing process.

A Study on the Evolution of MCN Services and Diversification of Revenue Models

  • Jeong Hee Kim;Jong Youl Hong
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.4
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    • pp.8-15
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    • 2024
  • The development of the Internet and mobile technology has brought various changes to society. In particular, the growth of video platforms such as YouTube has allowed those who have watched videos through legacy media to enjoy videos freely at the time and place they want. The freedom of time and space, consequently, has changed content use behavior, causing a paradigm shift in media consumption. It has brought unprecedented changes in media consumption patterns such as vertical media, and short-form content. Starting with the new social and cultural changes brought about by the YouTube platform, this paper aims to examine the changes in newly emerged MCN companies and the media industry. In particular, this paper shall examine in depth the implementation of novel revenue diversification strategies by MCN companies, who are aware the limitations of advertising revenue received from YouTube. Such revenue diversification strategies of MCN companies appear to be excellent examples to understand and analyze trends in management strategies, as well as new marketing strategies in the digital age. By examining the changed media industry's latest corporate management strategies, it is possible to derive two implications: management insight and sociological insight.

Examining Public Responses to Transgressions of CEOs on YouTube: Social and Semantic Network Analysis

  • Jin-A Choi;Sejung Park
    • Journal of Contemporary Eastern Asia
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    • v.23 no.1
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    • pp.18-34
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    • 2024
  • In what was labeled the "nut rage" incident, the vice president of Korean Air, Hyun-Ah Cho (Heather Cho), demonstrated behavior that exemplifies corporate transgression and deviation from societal moral standards toward a flight attendant aboard a flight. Such behavior instigated the public to express negative sentiment on various social media platforms. This study investigates word-of-mouth network on YouTube in response to the crisis, patterns of co-commenting activities across selected YouTube videos, as well as public responses to the incident by employing social and semantic network analysis. A total of 512 YouTube videos featuring the crisis from December 8, 2014 through November 11, 2018, and 52,772 public comments to the videos were collected. The central videos in the network successfully attracted the public's attention and engagements. The results suggest that the video network was decentralized, with multiple videos acting as hubs in the network. The public commented on various videos instead of focusing on a few. The contents of influential videos uploaded by popular news organizations revealed not only Cho's behaviors related to the nut rage crisis but also unrelated illegal behaviors and the moral violations committed by the family members of Korean Air. The public attached derogatory remarks to Cho and her family, and the comments also addressed ethical concerns, management issues of the company, and boycott intentions. The results imply that adverse public reaction was related to the long-standing problem caused by family ownership and governance in large Korean corporations. This Korean Air scandal illustrates backlash toward a leadership breakdown by the family business conglomerate prevalent in the Korean society. This study provides insights for effective handling of similar crises.