Leeway for the Loyal
نویسنده
چکیده
This paper examines the factors underlying task discretion from an economist’s perspective. It argues that the key axis for understanding discretion is the trade-off between the positive effects of discretion on potential output per employee and the negative effects of greater leeway on work effort. In empirical analysis using matched employer-employee data it is shown that discretion is strongly affected by the level of employee commitment. In addition discretion is generally greater in highskilled jobs, though not without exceptions, and lower where employees are underskilled. Homeworking and flexitime policies raise employee discretion, while the impact of teamworking is mixed, being negative in about half of cases, neutral or positive for the rest. There are also significant and substantial unobserved establishment-level factors which affect task discretion.
منابع مشابه
Intelligent Approach for Attracting Churning Customers in Banking Industry Based on Collaborative Filtering
During the last years, increased competition among banks has caused many developments in banking experiences and technology, while leading to even more churning customers due to their desire of having the best services. Therefore, it is an extremely significant issue for the banks to identify churning customers and attract them to the banking system again. In order to tackle this issue, this pa...
متن کاملHow Important Is ‘Accuracy’ of Surrogate Decision-Making for Research Participation?
BACKGROUND There is a longstanding concern about the accuracy of surrogate consent in representing the health care and research preferences of those who lose their ability to decide for themselves. We sought informed, deliberative views of the older general public (≥50 years old) regarding their willingness to participate in dementia research and to grant leeway to future surrogates to choose a...
متن کاملLearning Naive Bayes Classifier from Noisy Data
Classification is one of the major tasks in knowledge discovery and data mining. Naive Bayes classifier, in spite of its simplicity, has proven surprisingly effective in many practical applications. In real datasets, noise is inevitable, because of the imprecision of measurement or privacy preserving mechanisms. In this paper, we develop a new approach, LinEar-Equation-based noise-aWare bAYes c...
متن کاملImpose with Leeway: Combining an Engineering and Learning Approach in the Management of Public-Private Collaboration
The ongoing financial crisis is forcing governments to consider leaner (less resource intensive) forms of public service delivery. This is a difficult process, especially since recent private sector scandals demand that governments become also more vigilant. Public-private collaboration (PPC) needs to address this „lean yet vigilant‟ challenge. However, PPCs have proven to take a long time to e...
متن کاملAn anticipation model of potential customers' purchasing behavior based on clustering analysis and association rules analysis
This paper proposes an anticipation model of potential customers’ purchasing behavior. This model is inferred from past purchasing behavior of loyal customers and the web server log files of loyal and potential customers by means of clustering analysis and association rules analysis. Clustering analysis collects key characteristics of loyal customers’ personal information; these are used to loc...
متن کامل