Research Design
Project “The Changing Role of Companies’ Intangibles over the Crisis”
Elena ShakinaAngel Barajas
12.04.2013
The Aim of the Discussion
To identify the common framework of our study
To agree on terms and methodology
To draw a core specification of the empirical analysis
To have a common understanding of the key outlines of our study
The Framework of our Study
Considering a positive economic profit as a condition of value creation
Examining intangibles on key value drivers
Establishing critical impact of exogenous economic shocks (crises) on companies’ value drivers
We learn more about the value creation process on turbulent markets
Research Framework:EVA concept
NOPAT
Capital Charge EVA
EVA Invested Capital ROIC WACC
WACC ROIC industry
WACC – alternative costs of invested capital
Market Value (Equity + Debt)
Invested Capital
Market Value Added EVA1
EVA2EVA3
MVAMVA MV IC
Research Framework:MVA concept
Research Framework:Value creation EVA & MVA
Economic profit (or EVA) is an indicator of companies performance which shows if a particular company succeeds covering alternative costs of its investors
Market value added is an outcome of investors estimations (expectations) regarding companies’ future – investment attractiveness
Value Creation as a management goal to meet requirements of investors (Steward, Stern, Copeland, Koller, O’Byrne etc )
Investors are looking for companies with positive (or increasing) EVA and providing a growth of MVA
Exploration of EVA drivers (managers’ view)
Research Framework: Specifying value creation process
Investment decisions made by companies’
managers:• to invest in resources
which provide competitive advantages
input
• Companies resources
output
• EVA
outcome
• MVA
Positive and increasing EVA
• is a goal of managers• is a signal for investors
to buy
Shows that companies value drivers were
recognized by investors
Exploration of MVA drivers (investors’ view)
Exploration EVA as an indicator of investment attractiveness
12
“Production function”
Inputs (Intangibles)Output: EVA
(competitive advantages )
Outcome: MVA (outcome of investment
attractiveness)
Value creation process
Economic crisis which influences a value creation process
by affecting market conditions and investors’ expectations
Research Framework: Specifying crisis impact
Key assumption
Value creation process and value drivers are likely to be changed across
crisis periods
Research Framework:Value Drivers of EVA &MVA
EVA is associated with companies’ intangibles
which provide competitive advantages
the quality of human resources, social capital
the efficiency of relations with companies customers,
suppliers, partners, investors
innovative activities
internal business processes
MVA is associated with companies’ intangibles which are treated by investors as growth
enhancers
top-management qualification and expertise
marketing network, contracts, brands, reputation
intellectual property, new products
quality management system
Human Capital
Relational Capital
Innovative Capital
Structural Capital
Research Methodology
Quantitative analysis
Hypothetico-deductive reasoning
basing on theory and practical experience
the hypotheses are put forward
Quasi-naturalistic observationsInformation is taken from companies annual reports, financial markets, rankings, information bureau, websites
Methodology:how to measure Intangibles
Most of the intangibles have no direct estimation• Proxy indicators provide a solution
Asking companies’ representatives• High degree of subjectivity• deep understanding of respondents• Much data available
Collecting data from public available sources (by involving few experts) • Restricted information and data
available• Estimations are less biased and more
objective
Methodology:proxy indicators
Proxy indicators have to be validated for each particular case! Ways to do that…
Examples:
• ‘board of directors’ qualification’ is used as a proxy indicator for the quality of all human resources as expected to have a positive correlation with the qualification of
the staff hired• ‘owners/directors ratio’ is used as a proxy indicator for principal-agent conflict as a
probability of a principal-agent conflict is rising with the decreasing involvement of investors (shareholders) in corporate management
The scale might be wrong but if we apply it for all observations, at least we are able to compare them
conducting statistical analysis
Methodology:tools
Specification &Econometric tools
to establish causality(avoiding endogeneity)
to estimate statistically significant relation
to conduct the analysis of the estimated functions
Specification• linear relation
• framework of CES production function
Estimation tools• panel data analysis
• structural equations modeling• hierarchical multiple
regression
Methodology:econometric specification
to make an accurate estimation non significant factors can be skipped
• Every specification has to take into account:• all value drivers (theoretically established)
• control variables related to country, industry, period
Inputs
Control variables
Output/outcome
Research Questions
Comparative study of different time periods: before, during and after the economic crisis
Comparative study of different European markets: UK+Germany+France (prosperous economy) and Spain+Italy (protracted economic crisis)
Comparative study of different industries: traditional vs. innovative, production vs. services, high concentrated vs. industries with high competition …
Intangible drivers of companies’ competitive
advantages expressed in EVA (industry benchmark)
Intangible drivers of companies’ investment
attractiveness expressed in MVA
Transformation of companies’ competitive
advantages into investment attractiveness (external and
internal drivers)
Examples of the Hypotheses
The more flexible the company was (in terms of changing investment strategy) the better its chances of survival during the crisis
The return to scale of intangibles employment changes across the prosperity, crises and recovery periods
Traditional industries were less influenced by the crisis shocks in relation to innovative ones
International penetration of UK and Germany companies provided them with the survival support during the recovery period
have to based either on failure of theory or on contradiction faced in the empirical studies