Can Firm Performance and Corporate Reputation Be Improved by Communicating CSR in Social Media?

2021 ◽  
Vol 8 (2) ◽  
pp. 1-20
Author(s):  
Julian Schröter ◽  
Andreas Dutzi ◽  
Eshari Withanage
Keyword(s):  
Social Media ◽  
Firm Performance ◽  
Significant Relationship ◽  
Corporate Reputation ◽  
Sustainability Index ◽  
Csr Communication ◽  
Twitter Data ◽  
The Social

As stakeholders make their decisions based on corporate reputation, it is vital for the companies to ensure that their CSR activities are communicated effectively via social media (SM) channels. It can be argued that by leveraging CSR in SM channels, firms have the possibility in strengthening trust and loyalty of their stakeholders and thereby enhancing corporate reputation and firm performances. Hence, the study aims to examine how CSR communication has an impact on firm performances and reputation. Top 50 and bottom 50 companies that are ranked in the Social Media Sustainability Index (2016) are collected along with four reputation ranking indices and Twitter data for this study. Although there is no significant relationship between Twitter and corporate reputation, there is a significant relationship between Twitter and firm performances.

scholarly journals Effects of Social Media on Firm Performance and Customer Relations-Evidence from Ghana

2019 ◽  
Vol 10 (1) ◽  
pp. 101
Author(s):  
Asare Evans Kwabena ◽  
Kaodui Li ◽  
Osei-Assibey Mandella Bonsu ◽  
Obeng Belinda Faamaa ◽  
Baah Alexander
Keyword(s):  
Social Media ◽  
Firm Performance ◽  
Social Science ◽  
Customer Relations ◽  
Improve Performance ◽  
The Social ◽  
Use Of Social Media

The possibilities for companies to reach out more people to get in-depth understanding about brand, products, and services is through social media pages. We examined effects of social media on performance and customer relations of companies in Ghana. We obtained data from 390 respondents through structured questionnaires, and was analyzed with statistical package for social science (SPSS). The findings indicate increased awareness and usage of social media by companies in Ghana. However, customer’s desire for a products could be influence by company’s advertisement through social media post. We established that, managers are expectant with the use of social media enhancing customer’s relationship. Therefore, managers should modify their website to complement the social media strategies, identify the actions, wants and demands of customers to improve performance. We discussed several managerial recommendations.

scholarly journals Investigating the Relationship Among Social Media Addiction, Cognitive Absorption, and Self-Esteem

2021 ◽  
Vol 9 (2) ◽  
pp. 42-51
Author(s):  
Zeynep AKKUŞ ÇUTUK
Keyword(s):  
Social Media ◽  
Significant Relationship ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Self Esteem ◽  
Social Media Addiction ◽  
Equation Modelling ◽  
Cognitive Absorption ◽  
The Social ◽  
The Relationship

The present study aimed at testing a model developed to uncover the relationships among social media addiction, cognitive absorption, and self-esteem. This studys’ sample consisted of 361 university students, 198 of whom were females, and 163 were males. Data were collected using the Social Media Addiction Scale (SMAS), the Cognitive Absorption Scale (CAS), and the Rosenberg Self-Esteem Scale (RSES). Structural Equation Modelling (SEM) was used to analyse the data. The results showed a positive and significant relationship between cognitive absorption and social media addiction; thus, cognitive absorption predicted social media addiction. A negative and significant relationship between self-esteem and social media addiction was also found; thus, self-esteem predicted social media addiction.

scholarly journals tugas review artikel

2019 ◽  
Author(s):  
Arlika Anindya Putri
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Firm Performance ◽  
Positive Impact ◽  
Social Capital Theory ◽  
Capital Theory ◽  
Mediating Role ◽  
The Social

Purpose – The purpose of this study is to develop a structural equation model to explain the complexrelationship between social network and firm performance by introducing the mediating role of trust, sellingcapability and pricing capability.Design/methodology/approach – The research model with hypothesis development was derived basedon the literature. To provide empirical evidence, this study carried out a survey in which the data wereequated with a list of questionnaires with a random survey of 380 small and medium enterprises (SMEs) inthe Indonesian context.Findings – This study indicates that the use of social media in management process will not affect theincreasing firm performance, unless the firms build trust upon social networks. The social network with trustallows the firms to gain a pricing capability and a selling capability, which brings a positive impact on firmperformance. The results also show that the selling and the pricing capabilities become essential following theutilizing the social media, which concerns on trust building.Research limitations/implications – This study focused on the small-to-medium context, which hasconventionally provided an exemplary site for the development of social capital theory but raises issues ofgeneralizability across different contexts.Practical implications – To the managers, it is advisable to encourage their employees to consciouslyexploit the selling capability by enhancing the business networks via social media to achieve the firmperformance.Originality/value – This paper contributes to the social capital theory by explaining the mediating role oftrust in the complex relationship between social network and firm performance. This study provides evidencethat trust plays a pivotal role in social networks, which enable the observed firms to achieve the performance.

Do Social Media Matter? Initial Empirical Evidence

2014 ◽  
Vol 29 (2) ◽  
pp. 51-70 ◽  
Author(s):  
Hui Du ◽  
Wei Jiang
Keyword(s):  
Social Media ◽  
Firm Performance ◽  
Positive Impact ◽  
Data Availability ◽  
Social Media Platform ◽  
Media Technologies ◽  
The Social ◽  
Media Platform ◽  
Social Media Presence ◽  
The Impact

ABSTRACT This paper examines the association between firm performance and social media. Based on a sample of S&P 1500 firms, the study finds that firms with a social media presence are more highly valued by the market and have higher future financial performance. Further analysis indicates that the impact of social media on firm performance varies depending on the social media platform involved. Finally, using a restricted sample of Global 100 firms, the study finds some evidence that a higher level of social media engagement is associated with higher firm performance. Overall, these findings provide consistent evidence of the positive impact of social media technologies on firm performance. Data Availability: All data are available from public sources.

scholarly journals CSR Communication, Corporate Reputation, and the Role of the News Media as an Agenda-Setter in the Digital Age

2020 ◽  
pp. 000765032092896
Author(s):  
Daniel Vogler ◽  
Mark Eisenegger
Keyword(s):  
Social Media ◽  
News Media ◽  
Corporate Reputation ◽  
Media Coverage ◽  
Digital Age ◽  
The Public ◽  
Csr Communication ◽  
Agenda Setter ◽  
The Face ◽  
Pass Through

By using social media, corporations can communicate about their corporate social responsibility (CSR) to the public without having to pass through the gatekeeping function of the news media. However, to what extent can corporations influence the public’s evaluation of their CSR activities with social media activities and if the legacy news media still act as the primary agenda setters when it comes to corporate reputation have not yet been thoroughly analyzed in a digitized media environment. This study addressed this research gap by looking at the effect of CSR communication through Facebook and news media coverage of CSR on corporate reputation in Switzerland. The results of this longitudinal study show that the salience and tone of news media coverage of CSR were positively related to corporate reputation, even though the news media coverage about CSR was predominantly negative. Thus, reputation was still strengthened even in the face of negative publicity. No effect of CSR communication through Facebook on corporate reputation was found. The results suggest that legacy news media still were influential in determining how the public evaluates corporations in the digital age.

scholarly journals Sentiment Analysis Of Twitter Data By Using Deep Learning And Machine Learning

2021 ◽  
Vol 12 (6) ◽  
pp. 962-970
Author(s):  
Prof. Manisha Sachin Dabade, Et. al.
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Deep Learning ◽  
Sentiment Analysis ◽  
Daily Monitoring ◽  
Fine Grain ◽  
Large Size ◽  
Twitter Data ◽  
The Social ◽  
Enormous Amount

In today’s world, social media is viral and easily accessible. The Social media sites like Twitter, Facebook, Tumblr, etc. are a primary and valuable source of information.Twitter is a micro-blogging platform, and it provides an enormous amount of data. Such type of information can use for different sentiment analysis applications such as reviews, predictions, elections, marketing, etc. It is one of the most popular sites where peoples write tweets, retweets, and interact daily. Monitoring and analyzing these tweets give valuable feedback to users. Due to this data's large size, sentiment analysis is using to analyze this data without going through millions of tweets manually. Any user writes their reviews about different products, topics, or events on Twitter, called tweets and retweets. People also use emojis such as happy, sad, and neutral in expressing their emotions, so these sites contain expansive volumes of unprocessed data called raw data. The main goal of this research is to recognize the algorithms by using Machine Learning Classifiers. The study intends to categorize Fine-grain sentiments within Tweets of Vaccination (89974 tweets) through machine learning and a deep learning approach. The study takes consideration of both labeled and unlabeled data. It also detects emojis from tweets using machine learning libraries like Textblob, Vadar, Fast text, Flair, Genism, spaCy, and NLTK.

scholarly journals Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search

2019 ◽  
Vol 33 ◽  
pp. 232-240 ◽  
Author(s):  
Jinfeng Rao ◽  
Wei Yang ◽  
Yuhao Zhang ◽  
Ferhan Ture ◽  
Jimmy Lin
Keyword(s):  
Social Media ◽  
Ad Hoc ◽  
Similarity Measurement ◽  
Web Pages ◽  
Ranking Models ◽  
Twitter Data ◽  
The Social ◽  
Ad Hoc Retrieval ◽  
Feature Based ◽  
Substantial Interest

Despite substantial interest in applications of neural networks to information retrieval, neural ranking models have mostly been applied to “standard” ad hoc retrieval tasks over web pages and newswire articles. This paper proposes MP-HCNN (Multi-Perspective Hierarchical Convolutional Neural Network), a novel neural ranking model specifically designed for ranking short social media posts. We identify document length, informal language, and heterogeneous relevance signals as features that distinguish documents in our domain, and present a model specifically designed with these characteristics in mind. Our model uses hierarchical convolutional layers to learn latent semantic soft-match relevance signals at the character, word, and phrase levels. A poolingbased similarity measurement layer integrates evidence from multiple types of matches between the query, the social media post, as well as URLs contained in the post. Extensive experiments using Twitter data from the TREC Microblog Tracks 2011–2014 show that our model significantly outperforms prior feature-based as well as existing neural ranking models. To our best knowledge, this paper presents the first substantial work tackling search over social media posts using neural ranking models. Our code and data are publicly available.1

scholarly journals SPATIAL-TEMPORAL ANALYSIS OF SOCIAL MEDIA DATA RELATED TO NEPAL EARTHQUAKE 2015

2016 ◽  
Vol XLI-B2 ◽  
pp. 567-571
Author(s):  
L. Thapa
Keyword(s):  
Social Media ◽  
Temporal Analysis ◽  
Archaeological Sites ◽  
Social Media Data ◽  
User Input ◽  
Nepal Earthquake ◽  
Twitter Data ◽  
The Social ◽  
Media Data ◽  
Spatial Temporal Analysis

Social Medias these days have become the instant communication platform to share anything; from personal feelings to the matter of public concern, these are the easiest and aphoristic way to deliver information among the mass. With the development of Web 2.0 technologies, more and more emphasis has been given to user input in the web; the concept of Geoweb is being visualized and in the recent years, social media like Twitter, Flicker are among the popular Location Based Social Medias with locational functionality enabled in them. Nepal faced devastating earthquake on 25 April, 2015 resulting in the loss of thousands of lives, destruction in the historical-archaeological sites and properties. Instant help was offered by many countries around the globe and even lots of NGOs, INGOs and people started the rescue operations immediately; concerned authorities and people used different communication medium like Frequency Modulation Stations, Television, and Social Medias over the World Wide Web to gather information associated with the Quake and to ease the rescue activities. They also initiated campaign in the Social Media to raise the funds and support the victims. Even the social medias like Facebook, Twitter, themselves announced the helping campaign to rebuild Nepal. In such scenario, this paper features the analysis of Twitter data containing hashtag related to Nepal Earthquake 2015 together with their temporal characteristics, when were the message generated, where were these from and how these spread spatially over the internet?

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