Empirical Analysis of the Relationship Between Trust and Ratings in Recommender Systems

2016 ◽  
pp. 116-126
Author(s):  
Kulwadee Somboonviwat ◽  
Hisayuki Aoyama
Keyword(s):  
Recommender Systems ◽  
Empirical Analysis ◽  
The Relationship

Capital Structure and Earnings per Share: An Empirical Analysis of Indian Corporate Sector

2015 ◽  
Vol 5 (3) ◽  
Author(s):  
Harvinder Singh Mand ◽  
Manjit Singh
Keyword(s):  
Capital Structure ◽  
Empirical Analysis ◽  
Corporate Sector ◽  
Independent Variables ◽  
Earnings Per Share ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact ◽  
The Relationship ◽  
The Empirical Analysis

This paper intends to measure the impact of capital structure on EPS (earnings per share) in Indian corporate sector. Fifteen control variables along with capital structure have been selected to know their impact on EPS. Panel data regression has been applied to establish the relationship among dependent and independent variables. It is found from the empirical analysis that the relation of capital structure with EPS has been statistically insignificant in Indian corporate sector among all specific industries except telecommunication industry. The results are consistent with Modigliani-Miller approach.

scholarly journals Competition and microfinance institutions’ performance: evidence from India

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Hailu Abebe Wondirad
Keyword(s):  
Empirical Analysis ◽  
Significant Relationship ◽  
Competitive Market ◽  
Microfinance Institutions ◽  
Self Sufficiency ◽  
Using Data ◽  
The Relationship ◽  
The Empirical Analysis

Abstract This paper empirically examines whether competition (measured by using the new measure of competition, the Boone Indicator) moderates the relationship between Microfinance Institutions’ (MFIs) social and financial performances using data from 183 Indian MFIs over the period 2005–2014. The findings indicate that MFIs’ social and financial performances have a positive significant relationship. Moreover, the form of the relationship is both lead-lag and cotemporal. The Indian microfinance market was very competitive over the period 2005–2014. The empirical findings show that competition positively moderates the relationship between MFIs’ social and financial performances. More precisely, the empirical analysis provides evidence that the association between MFIs’ depth of outreach and operational self-sufficiency is conditional upon competition. These results suggest that in a competitive market, the more MFI deepen their depth of outreach, the higher contribution it has to their operational self-sufficiency.

An Empirical Analysis of the Relationship between Economic Growth and Energy Utilization in China

2013 ◽  
Vol 734-737 ◽  
pp. 1666-1670
Author(s):  
Fei Hu Yang ◽  
Peng Zhang ◽  
Xiao Wei Wang
Keyword(s):  
Economic Growth ◽  
Empirical Analysis ◽  
Energy Utilization ◽  
Correction Model ◽  
Vector Autoregressive ◽  
Integration Test ◽  
Recycling Economy ◽  
The Relationship ◽  
The Empirical Analysis

Based on the co-integration test, error correction model and vector autoregressive model, the empirical analysis results show a long-term co-integration relationship between economic growth and energy utilization in China, energy consumption increased by 1%, GDP will increase by 1.342%. In order to raise the efficiency of energy utilization during China's economic development, suggestions like saving energy conservation, reducing emission and recycling economy have been proposed.

Big data analytics capabilities and organizational performance: the mediating effect of dual innovations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaofeng Su ◽  
Weipeng Zeng ◽  
Manhua Zheng ◽  
Xiaoli Jiang ◽  
Wenhe Lin ◽  
...  
Keyword(s):  
Big Data ◽  
Organizational Performance ◽  
Empirical Analysis ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Mediating Effect ◽  
Content Type ◽  
Mediating Role ◽  
The Relationship

PurposeFollowing the rapid expansion of data volume, velocity and variety, techniques and technologies, big data analytics have achieved substantial development and a surge of companies make investments in big data. Academics and practitioners have been considering the mechanism through which big data analytics capabilities can transform into their improved organizational performance. This paper aims to examine how big data analytics capabilities influence organizational performance through the mediating role of dual innovations.Design/methodology/approachDrawing on the resource-based view and recent literature on big data analytics, this paper aims to examine the direct effects of big data analytics capabilities (BDAC) on organizational performance, as well as the mediating role of dual innovations on the relationship between (BDAC) and organizational performance. The study extends existing research by making a distinction of BDACs' effect on their outcomes and proposing that BDACs help organizations to generate insights that can help strengthen their dual innovations, which in turn have a positive impact on organizational performance. To test our proposed research model, this study conducts empirical analysis based on questionnaire-base survey data collected from 309 respondents working in Chinese manufacturing firms.FindingsThe results support the proposed hypotheses regarding the direct and indirect effect that BDACs have on organizational performance. Specifically, this paper finds that dual innovations positively mediate BDACs' effect on organizational performance.Originality/valueThe conclusions on the relationship between big data analytics capabilities and organizational performance in previous research are controversial due to lack of theoretical foundation and empirical testing. This study resolves the issue by provides empirical analysis, which makes the research conclusions more scientific and credible. In addition, previous literature mainly focused on BDACs' direct impact on organizational performance without making a distinction of BDAC's three dimensions. This study contributes to the literature by thoroughly introducing the notions of BDAC's three core constituents and fully analyzing their relationships with organizational performance. What's more, empirical research on the mechanism of big data analytics' influence on organizational performance is still at a rudimentary stage. The authors address this critical gap by exploring the mediation of dual innovations in the relationship through survey-based research. The research conclusions of this paper provide new perspective for understanding the impact of big data analytics capabilities on organizational performance, and enrich the theoretical research connotation of big data analysis capabilities and dual innovation behavior.

Determinants of the level of foreign subsidiaries’ localization of Korean MNCs and performance in China

2017 ◽  
Vol 21 (1) ◽  
pp. 2-21
Author(s):  
Byoung-Goo Kim ◽  
Gyu-Bae Kim
Keyword(s):  
Survey Data ◽  
Empirical Analysis ◽  
Corporate Culture ◽  
Business Strategy ◽  
Local Network ◽  
Foreign Subsidiary ◽  
Foreign Subsidiaries ◽  
Content Type ◽  
Network Embeddedness ◽  
The Relationship

Purpose The purpose of this paper is to empirically analyze what effects the headquarters’ (HQ) business strategy and corporate culture, the local network embeddedness of the foreign subsidiary, and HQ-subsidiary communication have on the staff localization of foreign subsidiaries. The authors carry out empirical analysis on how localization of foreign subsidiaries ultimately affects the performance of foreign subsidiaries. Design/methodology/approach This study is an empirical analysis on the determinants of staff localization and the relationship between staff localization and corporate performance. In this study, the five hypotheses were proposed and tested using survey data. The authors randomly selected a total of 800 companies as subjects and conducted a survey. The final 222 survey data including HQs and subsidiaries were used for empirical analysis. The statistical analyses such as reliability test, factor analysis and regression were used. Findings This study shows that there was a higher level of staff localization by the foreign subsidiary when the investment goal was market-oriented investment, the Korean foreign subsidiary had stronger local network embeddedness and there was better HQ-subsidiary communication. In addition, the relationship between localization and subsidiary performance shows an inverted U-shape. Such results will give various implications to companies. Originality/value The research that takes a multilayered consideration on factors of the HQ, subsidiaries, and the HQ-subsidiary relationship is rare. To overcome such limitations, this study carried out a survey in order to find more in-depth decision factors. Specifically, this study analyzed the effects of three large aspects of investment goals and corporate culture from the aspect of the HQ, local network embeddedness from the aspect of foreign subsidiaries, and the level of HQ-subsidiary communication from the aspect of HQ-subsidiary relations, and how they affect staff localization.

Sign in / Sign up

Export Citation Format

Share Document