Diplomarbeit, 2007
109 Seiten, Note: 1,3
1. Introduction
1.1. Rationale and Motivation
1.2. Project and Layout
2. Literature Review of Empirical Literature and Theoretical Discussion
2.1. Management Practices and Firm Performance
2.2. Organizational Structure and Firm Performance
2.2.1. Difficulties
2.2.2. Empirical Literature
2.2.3. Theoretical Discussion: Contingency Theory and Trade Off Decentralization
2.3. Organizational Structure, Management Practices and Firm Performance
2.3.1. Difficulties
2.3.2. Empirical Literature
2.3.3. Hypothesis based on Principal Agent Theory
2.3.4. Hypotheses based on Change Management Literature
3. Data Collection and Method
3.1. Measuring Management Practices
3.2. Measuring Organizational Structure
3.2.1. Overview
3.2.2. Plant Autonomy
3.2.3. Worker Autonomy
3.2.4. Span of Control
3.2.5. Number of Hierarchical Levels and Number of Levels Changed in the Last Three Years
3.2.6. Firm Slope and Plant Slope
3.3. Measuring Firm Performance
3.4. Measuring Competition
3.5. The Interview Process: Obtaining the Truth
3.6. Noise in the Signal
3.6.1. Control Variables
3.6.2. Second Interviews
4. Data Description
4.1. Sample Description and Criteria
4.2. Country Comparisons
4.2.1. Management Practices
4.2.2. Organizational Structures
4.3. Industry Comparisons
4.4. Explanations and the Role of Regulation
5. Summary of Hypotheses and Econometric Modeling
6. Results
6.1. The Impact of Management Practices on Firm Performance
6.1.1. Hypothesis 1
6.1.2. Discussion and Managerial Implication
6.2. The Impact of Organizational Structure on Firm Performance
6.2.1. Hypotheses 2 – 5
6.2.2. Discussion and Managerial Implication
6.3. The Impact of Management Practices and Organizational Structure on Firm Performance
6.3.1. Hypotheses 6 – 9
6.3.2. Discussion and Managerial Implication
7. Conclusion
7.1. Limitations
7.2. Contribution and Future Research
This paper aims to empirically analyze the influence of management practices and organizational structure on firm performance using a unique cross-country and cross-industry dataset of over 3,500 interviews. The primary research goal is to verify theoretical hypotheses regarding the impact of management quality and decentralization on firm productivity, while also examining the interaction effects between organizational structure and management practices in the modern information and communication age.
2.2.1. Difficulties
Analyzing correlations between organizational structure and firm performance with empirical data is a difficult task, due to various reasons discussed in the following. First, the specific environment for companies varies across industries and countries, which leads consequently to different needs in the organizational structure. This is discussed in more detail under section 2.2.3. Second, companies are in different life cycle stages, for which different organizational structures may be optimal and different profits are typical. Therefore, for instance, a company with a certain type of organizational structure could perform better simply because they are at a more mature stage within the organizational life cycle.
In addition, to see the extent of the influence of organizational structure on firm performance these effects would need to be isolated from other extraneous influences. This paper takes this into consideration. In all regressions including organizational structure variables, it is controlled for obvious drivers of firm performance, such as capital and the number of employees.
All these factors make it difficult to derive conclusions out of regressions between organizational structure and firm performance.
1. Introduction: This chapter provides the rationale for the study, emphasizing the lack of quantitative evidence regarding management practices and organizational structure, and outlines the project layout.
2. Literature Review of Empirical Literature and Theoretical Discussion: This section summarizes existing empirical work and discusses relevant organizational theories, such as Contingency and Principal-Agent Theory, to derive specific research hypotheses.
3. Data Collection and Method: This chapter explains the methodology for measuring management practices, organizational structure, and firm performance, while detailing the interview process used to ensure data quality.
4. Data Description: This section provides a detailed breakdown of the sample, including country and industry comparisons, and describes the regulatory environment's influence.
5. Summary of Hypotheses and Econometric Modeling: This chapter formalizes the research hypotheses and defines the econometric models used for testing, including the multivariate regression framework.
6. Results: This chapter presents the empirical findings from the regressions, tests the formulated hypotheses, and discusses the managerial implications of the results.
7. Conclusion: This final chapter synthesizes the study's findings, discusses inherent limitations regarding causality, and proposes avenues for future research.
Management Practices, Organizational Structure, Firm Performance, Lean Management, Talent Management, Decentralization, Contingency Theory, Principal-Agent Theory, Firm Slope, Plant Autonomy, Worker Autonomy, Quantitative Analysis, Cross-Country Study, Organizational Change, Econometric Modeling
The research focuses on empirically analyzing how management practices and organizational structures, such as decentralization and hierarchical levels, impact the performance of manufacturing firms across twelve different countries.
The study centers on lean management, performance management, talent management, the locus of decision-making (decentralization), and the impact of organizational change on business outcomes.
The primary research question investigates whether there is a measurable, statistically significant link between the quality of management practices and firm performance, and how organizational structure moderates this relationship.
The study utilizes a cross-country empirical analysis based on over 3,500 interviews. It employs multivariate regressions and the Ordinary Least Square (OLS) method to test derived hypotheses within an econometric framework.
The main body covers a comprehensive literature review, the methodological approach for data collection (including the McKinsey management evaluation tool), a descriptive overview of the data by country and industry, and a detailed econometric analysis of the stated hypotheses.
Key terms include management practices, firm performance, decentralization, organizational structure, lean management, cross-country analysis, and contingency theory.
Good management is quantified using a scoring grid across eighteen dimensions—categorized into lean, performance, and talent management—derived from extensive McKinsey & Company client projects.
The second interview approach acts as an internal validity test, allowing the researcher to quantify measurement error and verify that the initial management scores represent a reliable signal of actual firm practices.
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