• Title/Summary/Keyword: Social Media Official

Search Result 40, Processing Time 0.021 seconds

Optimizing Distribution Channels: How Digital Marketing Communication Enhances Trust and Loyalty in Indonesian Banking

  • Muhammad Diast REYHANRAFIF;La MANI;Astika Prima NITULAR;Hendra CRISWANTO;Irmawan RAHYADI
    • Journal of Distribution Science
    • /
    • v.22 no.8
    • /
    • pp.1-15
    • /
    • 2024
  • Purpose: This study explored how Indonesian banks utilize digital marketing communication strategies to optimize their distribution channels, leading to enhanced customer trust and brand loyalty. It examined specific methods such as sponsorships, social media, institutional partnerships, and mobile banking application features as key components of this digital distribution strategy. Research Design, Data, and Methodology: This study employed mixed methods design to assess digital distribution impacts. It involved 385 Jakarta bank customers. The sample size was determined using the Lemeshow formula. Results: The findings indicate that effective digital distribution strategies, including sponsorships, social media engagement, and user-friendly mobile banking applications, significantly enhance customer trust and loyalty. However, overly complex features may negatively impact loyalty. Conclusion: Thisstudy demonstrates a clear connection between the strategic use of digital marketing channels, such as sponsorships, social media, institutional partnerships, and mobile banking features, and the development of customer trust and loyalty. The results provide valuable insights to Indonesian banks in designing digital distribution strategies that prioritize building trust and fostering integrated customer interactions. Tailored digital marketing approachesthat optimize distribution can significantly enhance both trust and loyalty among Indonesian bank customers.

Public Perceptions of Public Social Workers in Comments of the Internet Media Discussion Rooms after Welfare Embezzlement Cases in 2008 (인터넷 토론방 댓글에 나타난 사회복지전담공무원에 대한 대중의 인식 -2008년에 발생한 복지지원금 횡령사건 이후를 중심으로-)

  • Park, Hyang-Kyung;Chung, Ick-Joong
    • Korean Journal of Social Welfare
    • /
    • v.62 no.1
    • /
    • pp.391-415
    • /
    • 2010
  • Recently, there were some welfare embezzlement cases of public social workers. The purpose of this study is to explore public perceptions of public social workers by analysing the comments named "datgeul" in the internet media discussion rooms("toronbang") about welfare embezzlement cases of public social workers. The results show that the main discourse about public social workers to perform a dual role as the public servants and social workers on the front line of public social welfare is that they are the victims of both a public official system and welfare administration system. In addition, social workers in public sphere are still recognized as service personnels with sacrifice and commitment rather than as professionals. Finally, the implications of this study were discussed to improve public perceptions of social welfare professionals.

  • PDF

A Study on Fake News Subject Matter, Presentation Elements, Tools of Detection, and Social Media Platforms in India

  • Kanozia, Rubal;Arya, Ritu;Singh, Satwinder;Narula, Sumit;Ganghariya, Garima
    • Asian Journal for Public Opinion Research
    • /
    • v.9 no.1
    • /
    • pp.48-82
    • /
    • 2021
  • This research article attempts to understand the current situation of fake news on social media in India. The study focused on four characteristics of fake news based on four research questions: subject matter, presentation elements of fake news, debunking tool(s) or technique(s) used, and the social media site on which the fake news story was shared. A systematic sampling method was used to select a sample of 90 debunked fake news stories from two Indian fact-checking websites, Alt News and Factly, from December 2019 to February 2020. A content analysis of the four characteristics of fake news stories was carefully analyzed, classified, coded, and presented. The results show that most of the fake news stories were related to politics in India. The majority of the fake news was shared via a video with text in which narrative was changed to mislead users. For the largest number of debunked fake news stories, information from official or primary sources, such as reports, data, statements, announcements, or updates were used to debunk false claims.

Factors Impacting on Korean Consumer Goods Purchase Decision of Vietnam's Generation Z

  • NGUYEN, Xuan Truong
    • Journal of Distribution Science
    • /
    • v.17 no.10
    • /
    • pp.61-71
    • /
    • 2019
  • Purpose - This study aims to explore the impact of factors on Korean consumer goods purchase decision of Vietnam's Generation Z. Research design, data, and methodology - A mixed research method was utilized in this study including focus group, in-depth interview, pilot study, and official study. The conceptual model and hypothesis were tested using data collected cross-sectional by questionnaire, from a sample of 439 respondents, by both electronic and paper surveys with non-probability and convenience sampling. The SPSS 20 and AMOS 20 software were employed to analyze the data. Results - Results showed that Vietnam's Generation Z was strongly impacted by social media, Hallyu, country of origin, social norms, and perceived usefulness. Besides, Korean consumer goods purchase decision of Vietnam's Generation Z also were impacted by intermediary factors such as trust, social norms, product involvement, perceived quality, perceived usefulness, attitude, and buying intention. There were differences in factors affecting the purchase decision of the boy and girl Generation Z group. Conclusions - The factors impacting on Korean consumer goods decision of Vietnam's Generation Z are very important for Korean firms and government. The findings provide Korean firms opportunity for appropriate to be carried out factors impacting Korean consumer goods to generation Z in Vietnam successful.

The Effect of Social Responsibility Characteristics and Consumer Attitude on Purchasing Intention (사회적 책임 관련 특성과 소비자태도가 구매의도에 미치는 영향)

  • Yu, Jiang Chuan;Lee, Seung Sin
    • Journal of Families and Better Life
    • /
    • v.34 no.1
    • /
    • pp.13-32
    • /
    • 2016
  • The goal of this study was to determine the effect of social responsibility characteristics and consumer attitude on consumer purchasing intention. And we used survey result data from 400 adults (200 males and 200 females) aged between 20 and 50 years for our research sample. Also, this study aims to look at the purchasing intention based on Fishbein's attitude model, in order to predict consumer purchasing behaviors on the products made by corporations that have good social responsibility. By using consumer consciousness of social responsibility and Consumer assessment on corporations' social responsibility, this study also intends to examine the ultimate effects on the intention. The following is a summary of the main results and suggestions. First, less than 30 percent of all consumers have experienced education on social responsibility, which is significantly low. Consumers' education experience had no effects on consumer purchasing intention. Consumers' education experience on social responsibility is surely related to purchasing intention, but gives no meaningful relations from the actual proof analysis, which is because of the problems of current consumer education programs. Government and official institutions, corporations, consumer groups should provide more educational opportunities than broadcast media, internet, school, and printed media. Second, according to the analysis result on Consumer consciousness of social responsibility, the assessment scores on social contribution and environmental protection are relatively lower than on consumer protection and energy resource saving. They tend to focus more on social responsibility related to individual interest rather than broader social responsibility as a member of society. Third, consumers have a positive attitude about corporation and its products made by corporations that have good social responsibility. Fourth, the most contributing factor on consumer purchasing intention is corporate consumer attitude. The next is product consumer attitude, Consumer consciousness of social responsibility, and Consumer assessment on corporations' social responsibility.

A case study on the corporate social responsibility in Patagonia 'Worn wear' (파타고니아 '원 웨어 (Worn wear)' 의 기업의 사회적 책임(CSR) 사례 연구)

  • Park, So-Hyun
    • Journal of the Korea Fashion and Costume Design Association
    • /
    • v.22 no.1
    • /
    • pp.61-71
    • /
    • 2020
  • This study looks at 'Corporate Social Responsibility' which is required for the fashion industry and brands in modern times. The American fashion brand known for its corporate social responsibility activities, 'Patagonia' is the case study for this research. The purpose of this study is to make suggestions to eco-friendly, outdoor and casual apparel fashion brands that want to introduce corporate social responsibility programs by considering the case of Patagonia's "Worn Wear" campaign. The method of this study was to review corporate social responsibility, previous studies on Patagonia, and literature, such as domestic and foreign media, Patagonia's official homepage, specialty publications, and media. The study concerning corporate social responsibility is focused on Patagonia's "Worn Wear". Worn Wear is Patagonia's system that repurchases and repairs products from Patagonia's own consumers. The study found that the well known corporate social responsibility led to increased sales. Patagonia's social responsibility activities are thought to be part of the brand identity that goes beyond marketing. In the Worn Ware case, repurchasing products from consumers and reselling them or reprocessing them resulted in increased sales, increased consumer engagement, and higher brand attention. The suggestion for a fashion company or brand in a category similar to Patagonia that is looking to engage in corporate social responsibilbty is to adopt and continue a campaign that 'consists of a successful marketing image, connecting memories and new experiences, separated shopping channels while diversifying the creation of distribution and contact channels'.

Strength Map of Presidential Candidates 2019 in Indonesia Based on a NodeXL Analysis of Big Data from Twitter

  • Suratnoaji, Catur;Arianto, Irwan Dwi;Sumardjijati, Sumardjijati
    • Asian Journal for Public Opinion Research
    • /
    • v.6 no.1
    • /
    • pp.31-38
    • /
    • 2018
  • Leading up to the 2019 presidential election in Indonesia, campaigns have emerged through social media, particularly Twitter, using various hashtags, such as #2019GantiPresiden (2019 Change President) and #TetapJokowi (Always Jokowi). This paper tries to understand the presidential candidates' power map in forming opinions and influencing voter behavior by analyzing Twitter from August 6, 2018 to September 15, 2018, just before the beginning of the official campaign period, by searching for the keyword "pemilihan presiden RI Tahun 2019" (RI presidential election in 2019). According to our NodeXL's analysis, there were 1,650 active Twitter users talking about the 2019 presidential election. The 1,650 Twitter users have formed a communication network of 46,750 relationships formed from messages in the form of tweets, comments, and retweets. Our analysis found that those mentioning "pilihan presiden 2019" form large communication networks around four clusters: one for each of the two candidates (Jokowi and Prabowo) and two for opinion leaders who are undecided about the election (Gus Mus and Mas Piyu). GusMus is a religious leader, as an official of the PBNU Rais Syuriah (an Islamic organization) and has a large following both on and off Twitter. "MasPiyu" is an unidentified Twitter user; he only has a large following on Twitter, but does not have support offline.

Investigating the Performance of Bayesian-based Feature Selection and Classification Approach to Social Media Sentiment Analysis (소셜미디어 감성분석을 위한 베이지안 속성 선택과 분류에 대한 연구)

  • Chang Min Kang;Kyun Sun Eo;Kun Chang Lee
    • Information Systems Review
    • /
    • v.24 no.1
    • /
    • pp.1-19
    • /
    • 2022
  • Social media-based communication has become crucial part of our personal and official lives. Therefore, it is no surprise that social media sentiment analysis has emerged an important way of detecting potential customers' sentiment trends for all kinds of companies. However, social media sentiment analysis suffers from huge number of sentiment features obtained in the process of conducting the sentiment analysis. In this sense, this study proposes a novel method by using Bayesian Network. In this model MBFS (Markov Blanket-based Feature Selection) is used to reduce the number of sentiment features. To show the validity of our proposed model, we utilized online review data from Yelp, a famous social media about restaurant, bars, beauty salons evaluation and recommendation. We used a number of benchmarking feature selection methods like correlation-based feature selection, information gain, and gain ratio. A number of machine learning classifiers were also used for our validation tasks, like TAN, NBN, Sons & Spouses BN (Bayesian Network), Augmented Markov Blanket. Furthermore, we conducted Bayesian Network-based what-if analysis to see how the knowledge map between target node and related explanatory nodes could yield meaningful glimpse into what is going on in sentiments underlying the target dataset.

What Do The 'Crowds' Say About Donation Distribution by Malaysian-based Charitable Crowdfunding?

  • KAMARUDIN, Mohd Khairy;MOHAMAD NORZILAN, Nur Izzati;MUSTAFFA, Fatin Nur Ainaa;KHIDZIR, Masyitah;ALMA'AMUN, Suhaili
    • Journal of Distribution Science
    • /
    • v.21 no.1
    • /
    • pp.33-43
    • /
    • 2023
  • Purpose: The present study demonstrates the netnography technique to explore and understand crowds' perceptions on the donation distribution by charitable crowdfunding platform official social media, Facebook. Research design, data and methodology: This paper conducts a netnography design to examine the perceptions of online communities on four prominent charitable crowdfunding platforms' Facebook. A total of 93 comments are studied by collecting and analyzing their comments thematically. Results: This study illustrates two main themes which are 'Recommended Review' and 'Non-Recommended Review'. 'Recommended Review' can be explained into six sub-themes which are 'Role of Religion', 'Encouragement to Donate', 'Platform Reliability', 'Volunteering Value', 'Platform Support', and 'Donation Convenience'. While 'Non-Recommended Review' reveals that 'Rejected Donation Amounts', 'Rejection of Advertisements', and 'Review by Authorities'. Conclusion: Online community comments play an important role in providing input to the experience of donating through charitable crowdfunding. The crowdfunding platform can make a benchmark for the services offered. The comments are needed to be given attention by maintaining the interaction between the platform and donors to recruit new donors and maintain existing donors. This study provides better understanding on online community perception towards charitable crowdfunding platforms. This study also contributes the discussion on charitable crowdfunding and online marketing literatures.

Statistical analysis of mobile internet news users' attributes affecting on opinion formation for social major issues (모바일 인터넷 뉴스 이용자의 속성이 정치, 경제, 사회적 주요 현안에 대한 의견 형성에 미치는 영향에 대한 통계적 분석)

  • Kim, Jaehee
    • The Korean Journal of Applied Statistics
    • /
    • v.34 no.1
    • /
    • pp.57-74
    • /
    • 2021
  • The proliferation of smart devices (such as smart phones and tablet PCs) has led to a marked increase in the use of mobile-based internet. As a result, the influence of the mobile internet has become important to make opinions on social issues. This study explores the effects of mobile internet news users' characteristics on formation of opinions about major political, economic and social issues. We used the data from the media audience awareness survey by the Korean Press Foundation in 2016 and 2017 in this analysis. The characteristics of the news users are gender, age, education, income, news usage days, news usage hours, media application usage days, news gathering application usage days, portal usage days, and media official website usage days. These characteristics are known as possible explanatory variables for the mobile internet news users. Multiple logistic regressions were done with interpretation to know which covariates affect on formation of major opinion.