Uncertainty of Future Performance: The Impact of Labor Investment and Labor Flexibility

2007 ◽  
Author(s):  
Carolyn M. Callahan ◽  
Martin T. Stuebs
Keyword(s):  
Labor Flexibility ◽  
Future Performance ◽  
The Impact

Generazioni e valutazione sociale delle occupazioni

2009 ◽  
pp. 81-97
Author(s):  
Amalia Caputo ◽  
Daniela Napoletano
Keyword(s):  
Labor Market ◽  
Key Words ◽  
Social Desirability ◽  
Social Stratification ◽  
Generational Differences ◽  
Evaluation Criteria ◽  
Social Evaluation ◽  
Labor Flexibility ◽  
The Social ◽  
The Impact

- In this article the authors analyse the social evaluation of occupations, examining the impact of generation on the judgments about the social desirability of occupations. The authors show that some generational differences are noticeable when looking at the criteria that respondents use to order occupations.Key words: Generation, Labor flexibility, Evaluation criteria, Labor market, Social Stratification, Occupational Stratification Scale

scholarly journals Institutional Investor Expectations, Manager Performance, and Fund Flows

2017 ◽  
Vol 52 (6) ◽  
pp. 2755-2777 ◽  
Author(s):  
Howard Jones ◽  
Jose Vicente Martinez
Keyword(s):  
Asset Allocation ◽  
Institutional Investors ◽  
Investment Decisions ◽  
Fund Flows ◽  
Past Performance ◽  
Fund Managers ◽  
Future Performance ◽  
Manager Performance ◽  
The Impact ◽  
Allocation Decisions

Using survey data, we analyze institutional investors’ expectations about the future performance of fund managers and the impact of those expectations on asset allocation decisions. We find that institutional investors allocate funds mainly on the basis of fund managers’ past performance and of investment consultants’ recommendations, but not because they extrapolate their expectations from these. This suggests that institutional investors base their investment decisions on the most defensible variables at their disposal and supports the existence of agency considerations in their decision making.

Firm-specific corporate governance and analysts’ earnings forecast characteristics

2018 ◽  
Vol 26 (3) ◽  
pp. 335-361 ◽  
Author(s):  
Minna Yu ◽  
Yanming Wang
Keyword(s):  
Corporate Governance ◽  
Stock Markets ◽  
Earnings Forecasts ◽  
Corporate Management ◽  
Forecast Errors ◽  
Content Type ◽  
Future Performance ◽  
Omitted Variable Bias ◽  
Variable Bias ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of corporate governance on the capital market participants’ abilities to forecast future performance, as measured by the properties of analysts’ earnings forecasts in Asian stock markets. Design/methodology/approach This paper hypothesizes that higher corporate governance is associated with lower forecast errors, lower forecast dispersion and lower forecast revision volatility. Findings These predictions are supported with a sample of companies across eleven Asian economies over 2004-2012. The results of this paper suggest that corporate governance plays a significant role in the predictability of firm’s future performance and, therefore, improves the financial environment in Asian stock markets. Furthermore, the impact of corporate governance on analysts’ forecast properties is more pronounced in countries with strong investor protection. Research/limitations/implications The authors acknowledge the following limitations of this paper. First, the results of this paper may be subject to omitted-variable bias and endogeneity issue. The authors have used control variables in the regressions to reduce the omitted variable bias. The authors have run lead-lag regressions to address causality issue. Second, CLSA corporate governance scores are collected for largest companies in each jurisdiction. Therefore, the sample is biased towards the largest companies in those jurisdictions and may not be representative of the average firm in the Asia. Originality/value The results of this paper speak to the benefit of having strong corporate governance in terms of reducing the information asymmetry between investors and corporate management.

scholarly journals Workforce Diversity and Organizational Performance during COVID-19: Evidence from Pharmaceutical Companies

2021 ◽  
pp. 801-808
Author(s):  
Ikramuddin Junejo ◽  
Saba Shaikh ◽  
Jalil Ahmed Thebo ◽  
Syed Salahuddin
Keyword(s):  
Organizational Performance ◽  
Gender Diversity ◽  
Testing Hypothesis ◽  
Workforce Diversity ◽  
Primary Data ◽  
Pharmaceutical Companies ◽  
Future Performance ◽  
Age Diversity ◽  
Study Results ◽  
The Impact

The aim of this study is to identify the impact of workforce diversity on organizational performance. For achieving research objectives and testing hypothesis the primary data collected with help of adopted questionnaire. The respondents were considered from Pharmaceutical companies which are operating in Sindh, Pakistan. Sample was consisting of 300. Findings of this study confirmed all proposed hypothesis are found to have significant impact of Gender diversity during covid-19, Age diversity during covid-19, Education diversity during covid-19 and Experience diversity during covid-19 on Organizational performance during covid-19 in pharmaceutical companies. However, new insights of this study revealed that gender diversity during covid-19 has more positive and significant impact with respect to other workforce diversity variables due to higher beta value. For better future performance this study results suggest to top management of Pharmaceutical companies should manage the workforce diversity.

scholarly journals The impact of climate change on water and energy security

2020 ◽  
Vol 20 (7) ◽  
pp. 2530-2546
Author(s):  
Mohammad Reza Goodarzi ◽  
Hamed Vagheei ◽  
Rabi H. Mohtar
Keyword(s):  
Climate Change ◽  
Climate Change Impacts ◽  
Hydropower Plant ◽  
Hydraulic Structures ◽  
Future Period ◽  
Future Performance ◽  
Hydropower Plants ◽  
The World ◽  
Fundamental Systems ◽  
The Impact

Abstract The interdependent fundamental systems, water and energy, face abundant challenges, one of which is climate change, which is expected to aggravate water and energy securities. The hydropower industry's benefits have led to its development and growth around the world. Nonetheless, climate change is expected to disturb the future performance of hydropower plants. This study looks at the Seimareh Hydropower Plant to assess the potential vulnerability of hydropower plants to climate change. Results indicate that climate change will affect the area's hydrological variables and suggest an increase in temperatures and decrease in precipitation during a 30-year future period (2040–2069). It is predicted that Seimareh Dam's inflow will decrease by between 5.2% and 13.4% in the same period. These hydrological changes will affect the Seimareh plant's performance: current predictions are that the total energy produced will decrease by between 8.4% and 16.3%. This research indicates the necessity of considering climate change impacts in designing and maintaining hydraulic structures to reach their optimal performance.

Financial performance following discontinued operations

2020 ◽  
Vol 19 (4) ◽  
pp. 429-447
Author(s):  
Binod Guragai ◽  
Paul D. Hutchison
Keyword(s):  
Financial Performance ◽  
Performance Improvement ◽  
Least Square ◽  
Regulatory Change ◽  
Content Type ◽  
Future Performance ◽  
Regulatory Rule ◽  
Prior Literature ◽  
The Impact ◽  
Discontinued Operations

Purpose Prior literature provides empirical evidence that financial performance improves for core remaining operations after a firm discontinues some of their operations. This study aims to examine whether the association between discontinued operations and future financial performance improvement is affected by a regulatory rule (i.e. Statement of Financial Accounting Standards 144 [SFAS 144]) that significantly altered the reporting requirements of discontinued operations. This study also examines whether the association is dependent on the profitability of the operations discontinued. Design/methodology/approach Ordinary least square regressions are used to test the association between discontinued operations and financial performance improvement, conditional on the profitability of operations discontinued in the pre-SFAS 144 and SFAS 144 regulatory regimes. Data on profitability of operations discontinued is hand-collected. Findings Results suggest that firms experience improvement in financial performance following the reporting of discontinued operations in the pre-SFAS 144 era. Using hand-collected data on the profitability of operations discontinued, this research study also shows that improvement in performance is stronger for firms that discontinue loss operations compared to those that discontinue profitable operations. Originality/value This study explores the impact of regulatory change on the association between discontinued operations and future performance. Furthermore, unique hand-collected data is used to understand whether financial performance improvement is conditional on the profitability of the operations discontinued. Results documented in this paper should be of interest to investors, regulators and analysts in understanding the long-term strategic implications of discontinued operations.

scholarly journals Mitigating the Gender Gap in the Willingness to Compete: Evidence from a Randomized Field Experiment

2018 ◽  
Vol 17 (4) ◽  
pp. 1147-1185 ◽  
Author(s):  
Sule Alan ◽  
Seda Ertac
Keyword(s):  
Elementary Schools ◽  
Gender Gap ◽  
Performance Feedback ◽  
Positive Impact ◽  
Causal Mechanism ◽  
Future Performance ◽  
Randomized Field Experiment ◽  
Willingness To Compete ◽  
The Impact

Abstract We evaluate the impact on competitiveness of a randomized educational intervention that aims to foster grit, a skill that is highly predictive of achievement. The intervention is implemented in elementary schools, and we measure its impact using a dynamic competition task with interim performance feedback. We find that when children are exposed to a worldview that emphasizes the role of effort in achievement and encourages perseverance, the gender gap in the willingness to compete disappears. We show that the elimination of this gap implies significant efficiency gains. We also provide suggestive evidence on a plausible causal mechanism that runs through the positive impact of enhanced grit on girls' optimism about their future performance.

scholarly journals Predicting Mathematical Performance: The Effect of Cognitive Processes and Self-Regulation Factors

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Mariel Musso ◽  
Eva Kyndt ◽  
Eduardo Cascallar ◽  
Filip Dochy
Keyword(s):  
Learning Strategies ◽  
Self Regulation ◽  
Mathematical Performance ◽  
Future Performance ◽  
Mathematics Test ◽  
Wide Range ◽  
Ann Models ◽  
Motivation And Learning ◽  
High Degree ◽  
The Impact

A substantial number of research studies have investigated the separate influence of working memory, attention, motivation, and learning strategies on mathematical performance and self-regulation in general. There is still little understanding of their impact on performance when taken together, understanding their interactions, and how much each of them contributes to the prediction of mathematical performance. With the emergence of new methodologies and technologies, such as the modelling with predictive systems, it is now possible to study these effects with approaches which use a wide range of data, including student characteristics, to estimate future performance without the need of traditional testing (Boekaerts and Cascallar, 2006). This research examines the different cognitive patterns and complex relations between cognitive variables, motivation, and background variables associated with different levels of mathematical performance using artificial neural networks (ANNs). A sample of 800 entering university students was used to develop three ANN models to identify the expected future level of performance in a mathematics test. These ANN models achieved high degree of precision in the correct classification of future levels of performance, showing differences in the pattern of relative predictive weight amongst those variables. The impact on educational quality, improvement, and accountability is highlighted.

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