Competition in corporate philanthropic disaster giving

2015 ◽  
Vol 9 (3) ◽  
pp. 311-332 ◽  
Author(s):  
Yongqiang Gao ◽  
Taïeb Hafsi
Keyword(s):  
Regression Analysis ◽  
Financial Performance ◽  
Negative Binomial ◽  
Competitive Equilibrium ◽  
Disaster Relief ◽  
Linear Regression Analysis ◽  
Negative Binomial Regression ◽  
Content Type ◽  
Whole Process ◽  
Late Movers

Purpose – The purpose of this study is to demonstrate how firms compete with each other in philanthropic giving in the context of a natural disaster. In particular, the authors want to investigate: Which firms act faster in disaster relief giving? How do late movers react? In the end, which firms donate most at the competitive equilibrium, first or late movers? Whether and how firm visibility will affect the relationships proposed based on the former three questions? Design/methodology/approach – The Chinese listed companies that donated to the May 12, 2008, Sichuan earthquake are taken as a sample. A negative binomial regression analysis is first conducted to identify the first movers. Then, linear regression analysis is conducted to identify the competition between first movers and late movers. Findings – The authors find that large firms and firms with a high financial performance tend to be first movers in disaster relief giving. Late movers donate amounts that are similar to those of first movers in both absolute and relative value. But first movers donate more in absolute value than late movers in the whole process of giving. Firm visibility strengthens the effect of financial performance (return on assets) on giving timing, but weakens the effect of giving timing on both first round and total giving amount. Originality/value – This study provides a dynamic theory of giving and enhances the understanding of the motives and patterns of corporate disaster relief giving. It also illustrates important insights into firms’ strategic and tactical behavior in disaster relief giving.

Are US antidumping cases being crowded out by other forms of protectionism?

2019 ◽  
Vol 19 (1) ◽  
pp. 1-7
Author(s):  
Prashant Desai ◽  
Robert M. Feinberg
Keyword(s):  
Regression Analysis ◽  
Trade Policy ◽  
Design Methodology ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Donald Trump ◽  
Content Type ◽  
Binomial Regression

Purpose The issue of substitutability between various modes of import protection has been studied by economists in various ways. Since President Donald Trump came into office and soon started imposing tariffs, the need by US firms to file antidumping (AD) cases would seem to have been reduced. This study aims to examine whether such a reduction in AD cases has occurred. Design/methodology/approach Quarterly US AD filings via a negative binomial regression analysis are explained. Patterns based on data from 1995 through 2016 are obtained first and then predict US AD petitions for 2017 and 2018. Findings The authors reject a hypothesis of substitution away from AD in the Trump era of general protectionism but do find some support for the notion that protection moves downstream, with greater than predicted AD filings in downstream metals sectors. Originality/value This is the first study to examine the possibility of trade policy substitutability in the Trump era.

PENGARUH INTELLECTUAL CAPITAL TERHADAP KINERJA KEUANGAN PADA PERUSAHAAN BARANG KONSUMSI YANG TERDAFTAR DI BEI TAHUN 2015-2017

2019 ◽  
Vol 3 (2) ◽  
pp. 26
Author(s):  
Niken Ayu Wulandari ◽  
Tegoeh Hari Abrianto ◽  
Edi Santoso
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Financial Performance ◽  
Intellectual Capital ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Simple Linear Regression ◽  
Return On Equity ◽  
Asset Turnover

This research to analyze and evaluate intellectual capital on financial performance obtained by return on equity, asset turnover and growth in revenue. The population in this study are consumer goods companies listed on the Stock Exchange in 2015-2017. The research sample was received by 21 companies obtained by using purposive sampling technique. The analytical method used is simple linear regression analysis with the SPSS version 20 application and uses the VAICTM method to measure intellectual capital. The results of this study indicate that intellectual capital has a significant effect on financial performance generated by return on equity, but intellectual capital does not have a significant effect on financial performance required by asset turnover and growth in revenue.

Pengungkapan Corporate Social Responsibility (CSR) dan Kinerja Keuangan Perusahaan dengan Pengungkapan Anti Korupsi sebagai Variabel Moderasi

2019 ◽  
Vol 13 (2) ◽  
Author(s):  
Arief Hidayatullah Khamainy ◽  
Dessy Novitasari Laras Asih
Keyword(s):  
Regression Analysis ◽  
Financial Performance ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Analysis Technique ◽  
Study Population ◽  
Csr Disclosure ◽  
Corporate Social ◽  
The Impact

The research was carried out to find the influence of training material and methods of training toward workability. The study was conducted respectively from an employee of PD BPR Bantul Yogyakarta. The purpose of this research is expected to be useful for stakeholders in seeing CSR disclosure in the company in testing and analyzing its effect on the company's financial performance and with the presence of anti-corruption exposure, whether it will strengthen the impact of CSR disclosure on the company's financial performance. The study population in this study were all mining companies registered on the Indonesia Stock Exchange in 2016-2018 with a total of 63 companies. The research sample was taken using a random sampling technique that was calculated by the Slovin formula so that 54 samples were obtained for analysis. Linear Regression Analysis and Moderation Regression Analysis were chosen as the analysis technique used in this study. The results show that CSR disclosure does not affect the company's financial performance, and anti-corruption disclosure does not affect the relationship between the two.

scholarly journals Association between breakfast skipping and metabolic outcomes by sex, age, and work status stratification

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jun Heo ◽  
Won-Jun Choi ◽  
Seunghon Ham ◽  
Seong-Kyu Kang ◽  
Wanhyung Lee
Keyword(s):  
Regression Analysis ◽  
Negative Binomial ◽  
Metabolic Diseases ◽  
Young Male ◽  
Negative Binomial Regression ◽  
Final Analysis ◽  
Work Status ◽  
Breakfast Skipping ◽  
Metabolic Outcomes ◽  
Binomial Regression

Abstract Background The association between breakfast skipping and abnormal metabolic outcomes remains controversial. A comprehensive study with various stratified data is required. Objective The aim of this study was to investigate the relationship between abnormal metabolic outcomes and breakfast skipping by sex, age, and work status stratification. Methods We used data from the Korea National Health and Nutrition Examination Surveys from 2013 to 2018. A total of 21,193 (9022 men and 12,171 women) participants were included in the final analysis. The risk of metabolic outcomes linked to breakfast skipping was estimated using the negative binomial regression analysis by sex, work status, and age stratification. Results A total of 11,952 (56.4%) participants consumed breakfast regularly. The prevalence of abnormal metabolic outcomes was higher among those with irregular breakfast consumption habits. Among young male workers, negative binomial regression analysis showed that irregular breakfast eaters had a higher risk of abnormal metabolic outcomes, after adjusting for covariates (odds ratio, 1.15; 95% confidence interval, 1.03–1.27). Conclusions The risk of abnormal metabolic outcomes was significant in young men in the working population. Further studies are required to understand the association of specific working conditions (working hours or shift work) with breakfast intake status and the risk of metabolic diseases.

Patient hospital experience and satisfaction on social media

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Subhajit Chakraborty ◽  
E. Mitchell Church
Keyword(s):  
Health Care ◽  
Social Media ◽  
Patient Satisfaction ◽  
Mixed Methods ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Health Service Delivery ◽  
Health Care Team ◽  
Care Team ◽  
Content Type

Purpose The purpose of this paper is to show the value of open-ended narrative patient reviews on social media for elucidating aspects of hospital patient satisfaction. Design/methodology/approach Mixed methods analyses using qualitative (manual content analyses using grounded theory and algorithmic analyses using the Natural Language Toolkit) followed by quantitative analyses (negative binomial regression). Findings Health-care team communication, health-care team action orientation and patient hospital room environment are positively related to patient hospital satisfaction. Patients form their hospital satisfaction perceptions based on the three facets of their hospital stay experience. Research limitations/implications In the spirit of continuous quality improvement, periodically analyzing patient social media comments could help health-care teams understand the patient satisfaction inhibitors that they need to avoid to offer patient-centric care. Practical implications By periodically analyzing patient social media comments hospital leaders can quickly identify the gaps in their health service delivery and plug them, which could ultimately give the hospital a competitive advantage. Originality/value To the best of the authors’ knowledge, this is one of the first studies to apply mixed methods to patient hospital review comments given freely on social media to critically understand what drives patient hospital satisfaction ratings.

How marketer-generated content characteristics affect consumer engagement? Empirical evidence from China's WeChat food marketing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Si Tan ◽  
Weiping Chen
Keyword(s):  
Body Text ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Food Marketing ◽  
Consumer Engagement ◽  
Content Type ◽  
Positive Effects ◽  
Binomial Regression ◽  
Media Research ◽  
Text Content

Purpose Leveraging marketer-generated content (MGC) can increase firms' success. However, few studies uncover the effects of MGC-related attributes on consumer engagement in the context of food marketing. This paper aims to explore the influence of MGC characteristics (valence, content types, vividness and interactivity) on consumer engagement.Design/methodology/approachThis study uses WeChat official account data of seven food companies from China and conducts negative binomial regression models.FindingsThe findings indicate that different MGC-related characteristics have separate impacts on consumer WeChat engagement. Title valence, transactional title content and title with punctuation vividness negatively affect consumers' consuming engagement. Knowledgeable or entertaining title content and title with interactivity both positively affect consumers' consuming engagement. Moreover, transactional body text content negatively influences consumers' contributing engagement, whereas entertaining body text content shows positive effects. Vivid and interactive MGC body text attributes enhance consumers' contributing engagement behavior.Originality/value This study contributes to social media research in food marketplaces and sheds light on the effect of different WeChat MGC characteristics on separate consumer engagement.

Construction time prediction model for public building projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shambel Kifle Alemu
Keyword(s):  
Regression Analysis ◽  
Addis Ababa ◽  
Linear Regression Analysis ◽  
Research Work ◽  
Time Cost ◽  
Construction Time ◽  
Time Model ◽  
Building Projects ◽  
Public Building ◽  
Content Type

PurposeThe aim of the study was to develop a practical construction time model for public building projects in Addis Ababa, Ethiopia.Design/methodology/approachThis research work used regression analysis and also exploratory scatter and residual plot techniques. Simple and multiple regressions were used for the investigation of the best fit time model. The analyses were carried out using IBM SPSS statistical software, version 20.FindingsThe result revealed that the Bromilow time-cost principle was moderately applicable. However, the cubic regression model (CUB) was found a better time-cost relationship. On the contrary, the study has shown a poor relationship between actual time and gross floor area. Furthermore, multiple linear regression analysis (MLR) consists of three statistically significant variables were found a better fit time model.Research limitations/implicationsThe study is limited to only six project scope factors. Further research is recommended to include more building projects of similar type and implications of other factors to improve the reliability of the models.Practical implicationsThe developed model was not intended as a replacement for detailed construction scheduling techniques. The resulting model is applicable for front-end predictions of construction duration.Originality/valueThe main parties involved in the building projects should apply the model for benchmarking a precise construction time during the early planning phase.

HC and financial performance with two HRM strategies

2017 ◽  
Vol 66 (4) ◽  
pp. 459-478 ◽  
Author(s):  
Nopadol Rompho
Keyword(s):  
Human Capital ◽  
Regression Analysis ◽  
Financial Performance ◽  
Lead Time ◽  
Design Methodology ◽  
Strategy Choice ◽  
Content Type ◽  
The Relationship ◽  
Practical Implications

Purpose The purpose of this paper is to examine the relationship between levels of human capital and financial performance of firms that use two distinct human resource management (HRM) strategies. Design/methodology/approach A survey of 128 HRM managers was conducted to assess differences in human capital between firms using different HRM strategies. A multiple regression analysis was used to investigate the relationship between firms’ human capital and financial performance. Findings The results show that companies employing a make-organic strategy have a higher level of human capital than companies employing a buy-bureaucratic strategy. There was no relationship between the level of human capital and long term financial performance of firms with both make-organic and buy-bureaucratic strategies. Research limitations/implications This research contributes toward understanding the effect of HRM strategy and facilitates an optimal strategy choice depending on the organization. However, this study did not consider the lead time between changes in human capital and the effect on financial performance. Practical implications The research encourages firm managers to understand the value of human capital, preparing them for changes in the future. Originality/value This study is among the first to investigate the relationship between human capital and financial performance considering different HRM strategies.

scholarly journals Pengaruh Intellectual Capital terhadap Kinerja Keuangan Perusahaan

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Novita Febriany
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Financial Performance ◽  
Multiple Linear Regression ◽  
Intellectual Capital ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
T Test ◽  
Analytical Technique

ABSTRACTThe purpose of this study was to examine the effect of Intellectual Capital on the Company's Financial Performance in the Kompas 100 index companies listed on the Indonesia Stock Exchange. Multiple linear regression analysis is used as the analytical technique. The results of hypothesis testing (t-test) prove that Intellectual Capital influences the Company's Financial Performance. This means that the better the Intellectual Capital owned by the compass index company 100, the higher the company's financial performance. Keywords: Intellectual Capital and Financial Performance.ABSTRAKTujuan penelitian ini adalah untuk menguji pengaruh Intellectual Capital terhadap kinerja keuangan perusahaan yang terdaftar dalam Kompas 100 index yang terdaftar pada on the Bursa Efek Indonesia. Analisis regresi berganda digunakan sebagai teknik analisis yang digunakan. Hasil pengujian hipotesis (uji t-test) menunjukkan bahwa Intellectual Capital berpengaruh positif terhadap kinerja keuangan perusahaan. Hal ini menunjukkan bahwa Intellectual Capital yang semakin baik yang dimiliki oleh perusahaan yang terdaftar dalam index Kompas 100, maka semakin tinggi pula kinerja keuangan perusahaan.

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