scholarly journals The Influence of Heuristic judgments in Social Media on Corporate Reputation: A Study in Spanish Leader Companies

2020 ◽  
Vol 12 (4) ◽  
pp. 1640 ◽  
Author(s):  
Luis Manuel Cerdá Suárez ◽  
Jesús Perán López ◽  
Belén Cambronero Saiz
Keyword(s):  
Social Media ◽  
Corporate Reputation ◽  
Cognitive Biases ◽  
Managerial Performance ◽  
Economic Agents ◽  
Using Data ◽  
Business And Management ◽  
Positive Effect ◽  
Different Levels ◽  
High Uncertainty

From a corporate-side perspective, the communication of reputational actions and news of companies becomes critical for success. However, in communication, business, and management studies, heuristics can be understood as simple cognitive processes that allow assessments, predictions, and decisions to be made quickly and efficiently by consumers and economic agents. This aspect can sometimes lead to cognitive biases, especially when little information is available or in situations of high uncertainty. The aim of this research is to investigate the influence of heuristic judgments in social media on corporate reputation ratings obtained in Spanish leader companies. Using data collected in Spain, this paper analyzes the influence of heuristics concerning news items on corporate reputation, measured by the Monitor Empresarial de Reputación Corporativa (MERCO) Index. The main finding of this paper is that the total number of news items has a positive effect on corporate reputation, particularly in the categories of culture-values, results/image, expansion, and sponsorship/donations. Additionally, this work serves as a repository of knowledge applicable to similar situations considering the specificities of each particular case. The importance to intervene on certain variables at different levels of managerial performance is described and implications for companies are discussed in these pages.

scholarly journals An Institutional Perspective for Evaluating Digital Transformation in Higher Education: Insights from the Chilean Case

2021 ◽  
Vol 13 (17) ◽  
pp. 9850
Author(s):  
Karen Núñez Valdés ◽  
Susana Quirós y Alpera ◽  
Luis Manuel Cerdá Suárez
Keyword(s):  
Higher Education ◽  
Business Models ◽  
Higher Education Institutions ◽  
Digital Transformation ◽  
Institutional Perspective ◽  
Managerial Performance ◽  
Change In Higher Education ◽  
Using Data ◽  
Operational Processes ◽  
High Uncertainty

From a managerial perspective, the rapid diffusion of actions and strategies accelerating the digital transformation of institutions is critical for success. However, in education, business, and management studies, digital transformation can be understood as simple evolutionary processes that enable business models, operational processes, and experiences to be made quickly and efficiently by institutions and agents. This aspect can sometimes lead to opposition, especially when little information is available or in situations of high uncertainty. This research aims to evaluate the involvement of an institutional ecosystem in the digital transformation at universities. Using data collected in Chile, this paper analyzes how the adoption of technologies by universities provides a context for understanding digitalization, measured by the IAU World Higher Education Database (UNESCO). The main finding of this paper is that there is a wide and relevant range of impacts of technological change in higher education institutions, particularly in the categories of values and operations. Additionally, this work serves as a repository of knowledge applicable to similar situations considering the specificities of each particular case. The importance to intervene in relation to certain variables at different levels of managerial performance is described and the implications for higher education institutions are discussed in these pages.

Understanding the Justice Fairness Effects on eWOM Communication in Social Media Environment

2019 ◽  
Vol 15 (1) ◽  
pp. 69-84 ◽  
Author(s):  
Muhammad Sohaib ◽  
Peng Hui ◽  
Umair Akram ◽  
Abdul Majeed ◽  
Zubair Akram ◽  
...  
Keyword(s):  
Social Media ◽  
Equation Modeling ◽  
Online Surveys ◽  
Future Directions ◽  
Media Environment ◽  
Proposed Model ◽  
Structure Equation Modeling ◽  
Using Data ◽  
Customer Trust ◽  
Positive Effect

This article integrates the trust and justice fairness to construct a model for investigating the motivations behind customers eWOM in social media environment, specifically WeChat. Using data from the online surveys of netizens in China, the proposed model was verified and validated by using the structure equation modeling (SEM) technique. The outcomes reveal that customer trust appear to be mostly driven by interactional fairness, which in turn effects satisfaction. Procedural fairness and interactional fairness impacts considerably positive on satisfaction. Trust and satisfaction have a direct positive effect on the eWOM. However, trust has indirect influence on eWOM through the satisfaction. Discussions provide the useful implications for managers and future directions.

scholarly journals Modeling Social Media Effects on Political Distrust in Lebanon

2021 ◽  
Vol 34 (3) ◽  
pp. 89-102
Author(s):  
Mahmoudreza Rahbarqazi ◽  
Raza Mahmoudoghli
Keyword(s):  
Social Media ◽  
Political Institutions ◽  
Indirect Effects ◽  
Government Performance ◽  
Political Distrust ◽  
Corruption Perception ◽  
Using Data ◽  
The Relationship ◽  
Positive Effect ◽  
Bootstrapping Method

The present study aims to examine the indirect effects of social media on political distrust among Lebanese citizens using data based on the Arab Barometer Wave V. The Arab Barometer Wave V was obtained in 2018-2019 via which 2,400 Lebanese citizens were surveyed. Using the Preacher and Hayes Bootstrapping method, the results of the test the hypotheses indicate that, firstly, social media has a positive effect on citizens’ political distrust and causes the increase in their level of distrust in political institutions with the mediator variables corruption perception and poor government performance; and secondly, the results show that although the lack of guaranteed freedoms has a positive effect on increasing political distrust in society, this variable cannot mediate the relationship between social media and political distrust among Lebanese citizens.

Estimation of welfare costs of inflation: The case of Russia

2019 ◽  
pp. 55-69 ◽  
Author(s):  
Sergey M. Drobyshevskiy ◽  
Natalia V. Makeeva ◽  
Elena V. Sinelnikova-Muryleva ◽  
Pavel V. Trunin
Keyword(s):  
Inflation Targeting ◽  
Empirical Studies ◽  
Welfare Costs ◽  
Economic Agents ◽  
Academic Literature ◽  
Russian Economy ◽  
Theoretical Approaches ◽  
Real Gdp ◽  
Quantitative Estimates ◽  
Positive Effect

This paper is devoted to the estimation of welfare costs of inflation, taking into account the peculiarities of the Russian economy. Theoretical approaches that are used in the literature to analyze the costs of inflation are discussed in the paper. It also provides an overview of the empirical studies of this topic. Research found in academic literature shows that the results of quantitative estimates are extremely sensitive to the choice of the functional form of the money demand equation, as well as to assumptions that are made to simplify the analysis, some of which do not fit Russian data. As a result, we have modified the standard approaches to estimating welfare costs of inflation, taking into account the monetization growth in Russia, and provide quantitative estimates of the magnitude of welfare costs of inflation. The results indicate a significant gain for economic agents in terms of real GDP with a decrease in inflation, which is regarded as a positive effect from the inflation targeting policy.

Peranan Ketua Pengurus dan Manajer Dalam Penyusunan dan Penerapan Laporan Keuangan Berbasis SAK ETAP Pada Koperasi di Kota Palembang

2019 ◽  
Vol 14 (2) ◽  
pp. 119
Author(s):  
Riza Syahputera ◽  
Martha Rianty
Keyword(s):  
Data Analysis ◽  
Sampling Technique ◽  
Financial Statements ◽  
Significant Positive Effect ◽  
Analysis Technique ◽  
Regression Test ◽  
Using Data ◽  
The City ◽  
Positive Effect

AbstractThis study aims to determine the effect of the role of the Chairperson and Cooperative Manager in the preparation and application of Financial Statements based on SAK ETAP in cooperatives in the city of Palembang. This research is a quantitative study using data obtained from questionnaires and measured using a Likert scale. The sampling technique used is purposive sampling. The sample used in this study was the Chairperson of the cooperative and the manager of the cooperative in the city of Palembang. The cooperatives studied were 203 cooperatives. The data analysis technique used is multiple linear regression test. The results showed that the role of cooperative leaders and managers had a significant positive effect on the preparation and application of SAK ETAP-based financial statements.Keywords : chairman, manager, SAK ETAP, cooperative

Organizing and Managing Data Analytics Teams for Procurement

2020 ◽  
Author(s):  
Benjamin Shao ◽  
Robert D. St. Louis
Keyword(s):  
Best Practices ◽  
Business Strategy ◽  
Data Analytics ◽  
Team Members ◽  
Procurement Process ◽  
Using Data ◽  
And Training ◽  
Different Levels ◽  
The Way

Many companies are forming data analytics teams to put data to work. To enhance procurement practices, chief procurement officers (CPOs) must work effectively with data analytics teams, from hiring and training to managing and utilizing team members. This chapter presents the findings of a study on how CPOs use data analytics teams to support the procurement process. Surveys and interviews indicate companies are exhibiting different levels of maturity in using data analytics, but both the goal of CPOs (i.e., improving performance to support the business strategy) and the way to interact with data analytics teams for achieving that goal are common across companies. However, as data become more reliably available and technologies become more intelligently embedded, the best practices of organizing and managing data analytics teams for procurement will need to be constantly updated.

scholarly journals Determinants of Corporate Anti-Corruption Disclosure: The Case of the Emerging Economics

2021 ◽  
Vol 13 (6) ◽  
pp. 3462
Author(s):  
Maider Aldaz Odriozola ◽  
Igor Álvarez Etxeberria
Keyword(s):  
Empirical Studies ◽  
Geographical Area ◽  
Control Variable ◽  
Emerging Countries ◽  
Point Of View ◽  
Press Freedom ◽  
Negative Effects ◽  
Key Factor ◽  
Using Data ◽  
Positive Effect

Corruption is a key factor that affects countries’ development, with emerging countries being a geographical area in which it tends to generate greater negative effects. However, few empirical studies analyze corruption from the point of view of disclosure by companies in this relevant geographical area. Based on a regression analysis using data from the 96 large companies from 15 emerging countries included in the 2016 International Transparency Report, this paper seeks to understand what determinants affect such disclosure. In that context, this paper provides empirical evidence to understand the factors that influence reporting on anti-corruption mechanisms in an area of high economic importance that has been little studied to date, pointing to the positive effect of press freedom in a country where the company is located and with the industry being the unique control variable that strengthens this relationship.

scholarly journals Integration of various scales for measurement of insomnia

2021 ◽  
pp. 263208432110100
Author(s):  
Satyendra Nath Chakrabartty
Keyword(s):  
Test Scores ◽  
Data Driven ◽  
Weighted Sum ◽  
Future Studies ◽  
Normal Probability ◽  
Equivalent Test ◽  
Item Scores ◽  
Using Data ◽  
Set Up ◽  
Different Levels

Background Scales for evaluating insomnia differ in number of items, response format, and result in different scores distributions and score ranges and may not facilitate meaningful comparisons. Objectives Transform ordinal item-scores of three scales of insomnia to continuous, equidistant, monotonic, normally distributed scores, avoiding limitations of summative scoring of Likert scales. Methods Equidistant item-scores by weighted sum using data-driven weights to different levels of different items, considering cell frequencies of Item-Levels matrix, followed by normalization and conversion to [1, 10]. Equivalent test-scores (as sum of transformed item- scores) for a pair of scales were found by Normal Probability curves. Empirical illustration given. Results Transformed test-scores are continuous, monotonic and followed Normal distribution with no outliers and tied scores. Such test-scores facilitate ranking, better classification and meaningful comparison of scales of different lengths and formats and finding equivalent score combinations of two scales. For a given value of transformed test-score of a scale, easy alternate method avoiding integration proposed to find equivalent scores of another scales. Equivalent scores of scales help to relate various cut-off scores of different scales and uniformity in interpretations. Integration of various scales of insomnia is achieved by finding one-to-one correspondence among the equivalent score of various scales with correlation over 0.99 Conclusion Resultant test-scores facilitated undertaking analysis in parametric set up. Considering the theoretical advantages including meaningfulness of operations, better comparison, use of such method of transforming scores of Likert items/test is recommended test and items, Future studies were suggested.

Does Social Media Engagement Translate to Civic Engagement Offline?

2021 ◽  
pp. 089976402199944
Author(s):  
Jaclyn Piatak ◽  
Ian Mikkelsen
Keyword(s):  
Social Media ◽  
Civic Engagement ◽  
Presidential Election ◽  
Civic Participation ◽  
Political Engagement ◽  
Political Campaigns ◽  
The Internet ◽  
Online Engagement ◽  
Informal Volunteering ◽  
Using Data

People increasingly engage in politics on social media, but does online engagement translate to offline engagement? Research is mixed with some suggesting how one uses the internet maters. We examine how political engagement on social media corresponds to offline engagement. Using data following the 2016 U.S. Presidential Election, we find the more politically engaged people are on social media, the more likely they are to engage offline across measures of engagement—formal and informal volunteering, attending local meetings, donating to and working for political campaigns, and voting. Findings offer important nuances across types of civic engagement and generations. Although online engagement corresponds to greater engagement offline in the community and may help narrow generational gaps, this should not be the only means to promote civic participation to ensure all have a voice and an opportunity to help, mobilize, and engage.

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