Accounting and non-financial firm data tokens in permissioned DLT networks

2021 ◽  
Vol 11 (1) ◽  
pp. 54
Author(s):  
Eva María Ibáñez
Keyword(s):  
Firm Data ◽  
Financial Firm

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

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

scholarly journals Blending in: A Case Study of Transitional Ambidexterity in the Financial Sector

2021 ◽  
Vol 13 (4) ◽  
pp. 1690
Author(s):  
Beniamino Callegari ◽  
Ranvir S. Rai
Keyword(s):  
Financial Sector ◽  
Economic Sustainability ◽  
Organizational Ambidexterity ◽  
Management Literature ◽  
Innovative Capabilities ◽  
Financial Firm ◽  
The Relationship

Organizational ambidexterity is widely recognized as necessary for the economic sustainability of firms operating in the financial sector. While the management literature has recognized several forms of ambidexterity, the relationship between them and their relative merits remain unclear. By studying a process of implementation of ambidextrous capabilities within a large Scandinavian financial firm, we explore the role of top-down reforms and bottom-up reactions in determining the development of sector-specific innovative capabilities. We find that blended ambidexterity follows naturally from the attempt to correct the tensions arising from harmonic ambidextrous blueprints. The resulting blended practice appears to be closely related to the reciprocal model of ambidexterity, which appears to be a necessity rather than a choice, for large firms attempting to develop innovative capabilities. Consequently, we suggest to re-interpret current taxonomies of ambidexterity not as alternative blueprints, but rather as stages in a long-term process of transition.

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.

Facade and Self-Deception in the Deteriorating Financial Firm

1987 ◽  
Vol 29 (2) ◽  
pp. 101-111 ◽  
Author(s):  
Frederick E. Balderston
Keyword(s):  
Financial Firm

scholarly journals Has the Propensity to Pay Dividends Declined? Evidence from the US Banking Sector

2021 ◽  
Vol 14 (3) ◽  
pp. 103
Author(s):  
Shaojie Lai ◽  
Qing Wang ◽  
Jiangze Du ◽  
Shuwen Pi
Keyword(s):  
Banking Sector ◽  
Logit Models ◽  
Sample Period ◽  
Financial Firms ◽  
The Us ◽  
The Difference ◽  
High Level ◽  
Propensity To Pay ◽  
Financial Firm ◽  
Very High

This article examines the propensity to pay dividends in the U.S banking sector during 1973–2014. Although the propensity to pay dividends has been declining over the 52 years of our sample period, banks are consistently more likely to pay dividends than non-financial firms. Using the coefficients from logit models estimated early in the sample period to forecast the percentage of dividend payers in each subsequent year, we conclude that there has been a decline in the likelihood of paying dividends in the banking sector. However, the decline started from a very high level as compared to that of the non-banking sectors. In addition, the variables taken from the non-financial firm literature do not explain the difference between the actual and expected percentage of dividend payers in the banking sector. We also conduct exploratory analyses with bank-specific variables. Although newly included variables are significantly related to the likelihood of paying dividends, they do not explain the declining propensity to pay dividends in the banking sector.

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