Estimating divisional betas with diversified firm data

1992 ◽  
Vol 2 (1) ◽  
pp. 89-96
Author(s):  
Robert A. Wood ◽  
Thomas H. Mcinish ◽  
Kenneth D. Lawrence
Keyword(s):  
Firm Data

Factors driving changes to remuneration policies in South Africa

2019 ◽  
Vol 39 (2) ◽  
pp. 43-63 ◽  
Author(s):  
Mark Bussin
Keyword(s):  
South Africa ◽  
South African ◽  
Merit Pay ◽  
Drivers Of Change ◽  
Retention Strategies ◽  
Retention Strategy ◽  
Remuneration Policy ◽  
Chi Squared ◽  
Firm Data ◽  
E Mail

This study was conducted in 2012 and replicates Bussin and Huysamen’s (2004) work, conducted in 2003, on remuneration policies. It investigates the factors driving remuneration policy in South Africa and determines whether these factors have changed since 2003. Anonymous e-mail questionnaires were received from 131 senior company representatives. All participating companies were members of the South African Reward Association (SARA) or clients of a large remuneration consulting firm. Data were analysed using a chi-squared test and factor analysis. Results support Bussin and Huysamen’s study, which found that the two main drivers of change in policy were the retention of talented staff and the financial results of the organisation. However, three components of remuneration are receiving greater prominence than they did in 2003: governance in the organisation, merit pay and retention strategies. These findings suggest a greater shareholder expectation that pay should be linked to performance, and that pay acts as a retention strategy for critical staff.

Theory and Evidence on the Glass Ceiling Effect Using Matched Worker-firm Data

2005 ◽  
Author(s):  
Mohamed Jellal ◽  
Christophe J. Nordman ◽  
Francois-Charles Wolff
Keyword(s):  
Glass Ceiling ◽  
Ceiling Effect ◽  
Firm Data

Anonymized Firm Data under Test: Evidence from a Replication Study

2005 ◽  
Vol 225 (5) ◽  
Author(s):  
Joachim Wagner
Keyword(s):  
Cross Sections ◽  
Statistical Significance ◽  
Original Data ◽  
Replication Study ◽  
Firm Level ◽  
Level Data ◽  
Practical Usefulness ◽  
Order Of Magnitude ◽  
Anonymized Data ◽  
Firm Data

SummaryThis paper contributes to the literature on the use of anonymized firm level data by reporting results from a replication study. To test for the practical usefulness of anonymized data I selected two of my published papers based on different cross sections of firm data. The data used there were anonymized by micro aggregation. I replicated the analyses reported in the papers with the anonymized data, and then compared the results to those produced with the original data. Frequently, the reported levels of statistical significance differ. Furthermore, statistically significant coefficients sometimes differ by order of magnitude. Therefore, at least for the moderate sample sizes used here micro-aggregated firm data should not be considered as a tool for empirical research.

scholarly journals FDI Location Decision: Evidence from Firms Investing in China

2016 ◽  
Vol 11 (6) ◽  
pp. 47
Author(s):  
Omar Belkhodja
Keyword(s):  
Location Choice ◽  
Agglomeration Economies ◽  
Multinational Firm ◽  
Future Research ◽  
Location Decision ◽  
Policy Makers ◽  
Logit Estimation ◽  
Foreign Affiliates ◽  
Firm Data ◽  
Investments In Education

By relying on an extensive set of firm data for foreign affiliates in China, the paper investigates the determinants of FDI location choice for multinational firm subsidiaries located in different special economic and investment zones. Using a logit estimation, the results suggest that various factors explain the location choice of FDI in China, and vary according to the country of origin and the sector of activity. Overall, the results show that the protection of intellectual rights, the agglomeration economies, the investments in education and the GDP of the region affect the location choice of FDI. Implications can be drawn for policy-makers to divert FDI from coastal to inland regions. Finally, the last part of the paper derives, from the obtained results, implications for future research and theory building.

You can't always get what you want? Leadership expectations of intrapreneurs

2017 ◽  
Vol 32 (6) ◽  
pp. 430-444 ◽  
Author(s):  
Jana Deprez ◽  
Martin Euwema
Keyword(s):  
Role Model ◽  
Current Knowledge ◽  
Full Range ◽  
Dynamic Environment ◽  
Leadership Theory ◽  
Implicit Leadership ◽  
Content Type ◽  
Personal Connection ◽  
Firm Data ◽  
Consultancy Firm

Purpose The purpose of this paper is to examine the leadership expectations of young employees in intrapreneurial jobs. Design/methodology/approach Group interviews were conducted with 42 young intrapreneurs and 13 leaders of a Dutch ICT consultancy firm. Data were coded and analyzed using qualitative data analysis software. Findings The authors find ten different expectations on leadership. Young intrapreneurs expect to have a personal connection, sufficient feedback, ample freedom, and trust, clear directions when asked and a leader who is a role model. Research limitations/implications This qualitative study was conducted in one organization. It however sheds a first light on expectations of employees with intrapreneurial job requirements. Practical implications In order to motivate and guide young intrapreneurs, direct supervisors should aim not to breach expectations. By getting to know their employees on a personal basis, taking the time to coach them in their career goals, showing intrapreneurship themselves, focusing on an open relationship, and providing a challenging and dynamic environment, direct supervisors build a strong and cooperative relationship. Originality/value This paper is one of the first to look at the relationship between direct supervisors and intrapreneurial employees. Doing so, it also expands the current knowledge of Implicit Leadership Theory by exploring expectations of young intrapreneurs and adds to the full-range leadership theory by showing the importance of investigating its subdimensions.

scholarly journals Mexico : Impact Evaluation Of Sme Programs Using Panel Firm Data

2010 ◽  
Author(s):  
Monica Tinajero ◽  
Gladys Lopez-Acevedo
Keyword(s):  
Impact Evaluation ◽  
Firm Data

scholarly journals Announcing the Journal of the Medical Library Association’s data sharing policy

2019 ◽  
Vol 107 (4) ◽  
Author(s):  
Katherine G. Akers ◽  
Kevin B. Read ◽  
Liz Amos ◽  
Lisa M. Federer ◽  
Ayaba Logan ◽  
...  
Keyword(s):  
Open Access ◽  
Data Sharing ◽  
Open Science ◽  
Data Reuse ◽  
Medical Library ◽  
Firm Data ◽  
Published Research

As librarians are generally advocates of open access and data sharing, it is a bit surprising that peer-reviewed journals in the field of librarianship have been slow to adopt data sharing policies. Starting October 1, 2019, the Journal of the Medical Library Association (JMLA) is taking a step forward and implementing a firm data sharing policy to increase the rigor and reproducibility of published research, enable data reuse, and promote open science. This editorial explains the data sharing policy, describes how compliance with the policy will fit into the journal’s workflow, and provides further guidance for preparing for data sharing.

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