Performance management and job-goal alignment: A conditional process model of turnover intention in the public sector
Purpose: the use of performance management (PM) tools is a defining characteristic of public sector management. However, while research on PM is extensive, comparatively little focuses on how the practice shapes the attitudes and behavior of employees. This article addresses this question and develops a conditional process model that links PM to turnover intention. The model predicts that the PM-turnover relationship is mediated by job satisfaction and moderated by job-goal alignment.
Design and methodology: We use a unique dataset drawn from the Russian public sector to test the model empirically. Conditional process modeling is used to test for moderated mediation. The effects are further explored using bootstrapped bias-corrected confidence intervals.
Findings: The analysis suggests that PM has an indirect effect on turnover intention via job satisfaction in the average case. However, the indirect effect is stronger for employees who perceive that their work contributes directly to organizational goals. In contrast, for employees whose work lacks organizational goal alignment, PM has no significant effect.
Originality: Despite being an instrument to manage organizational (including human) resources, few studies have linked PM to employee-level outcomes. By doing so, this study implies promising research paths that can help generate a more complete picture of how PM shapes organizational processes in the public sector.
The objectives of the conference: analysis and development of approaches, methods and tools of business performance management based on modern intellectual technologies, BPM systems for process management, service oriented architectures and knowledge management.
Three dimensions of subordinate-supervisor relations (affective attachment, deference to supervisor, and personal-life inclusion) that had been found by Chen et al. (2009) to be characteristic of a guanxi relationship between subordinates and their supervisors in China were surveyed in Taiwan, Singapore and six non-Chinese cultural contexts. The affective attachment and deference subscales demonstrated full metric invariance whereas the personal-life inclusion subscale was found to have partial metric invariance across all eight samples. Structural equation modelling revealed that the affective attachment dimension had a cross-nationally invariant positive relationship to affective organizational commitment and a negative relationship to turnover intention. The deference to the supervisor dimension had invariant positive relationships with both affective and normative organizational commitment. The personal-life inclusion dimension was unrelated to all outcomes. These results indicate the relevance of aspects of guanxi to superior-subordinate relations in non-Chinese cultures. Studies of indigenous concepts can contribute to a broader understanding of organizational behavior.
Measuring indirect importance of various attributes is a very common task in marketing analysis for which researchers use correlation and regression techniques. We have listed and illustrated some common problems with widely used latent importance measures. A more theoretically sound approach – the Shapley Value decomposition – was applied to a rich data set of US internet stores. The use of store-level data instead of respondent-level data allowed us to reveal the factors, which are powerful in explaining, why some stores have higher rates of willingness to make repeat purchases than the others. By confronting the indirect importance and performance measures for three different internet stores, we have revealed strengths, weaknesses, attributes that the company should bring customers’ attention to and attributes improvement of which is not of a high priority.
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.
Performance Management: Designing the High-Performing Organization. Conference Proceding, Aarhus, Denmark
Smoking is a problem, bringing signifi cant social and economic costs to Russiansociety. However, ratifi cation of the World health organization Framework conventionon tobacco control makes it possible to improve Russian legislation accordingto the international standards. So, I describe some measures that should be taken bythe Russian authorities in the nearest future, and I examine their effi ciency. By studyingthe international evidence I analyze the impact of the smoke-free areas, advertisementand sponsorship bans, tax increases, etc. on the prevalence of smoking, cigaretteconsumption and some other indicators. I also investigate the obstacles confrontingthe Russian authorities when they introduce new policy measures and the public attitudetowards these measures. I conclude that there is a number of easy-to-implementanti-smoking activities that need no fi nancial resources but only a political will.
The Working Paper examines the peculiarities of the Russian model of corporate governance and control in the banking sector. The study relies upon theoretical as well as applied research of corporate governance in Russian commercial banks featuring different forms of ownership. We focus on real interests of all stakeholders, namely bank and stock market regulators, bank owners, investors, top managers and other insiders. The Anglo-American concept of corporate governance, based on agency theory and implying outside investors’ control over banks through stock market, is found to bear limited relevance. We suggest some ways of overcoming the gap between formal institutions of governance and the real life.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.