Intangible-intensive profile of a company: the key to outperforming

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Intangible-intensive profile of a company: the key to outperforming Angel Barajas Elena Shakina

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Intangible-intensive profile of a company: the key to outperforming . Angel Barajas Elena Shakina. Research question. Do companies have certain intangible-intensive profile? If they do, how this profile influence the outperforming and investment attentiveness?. Hypothesis. - PowerPoint PPT Presentation

Transcript of Intangible-intensive profile of a company: the key to outperforming

Page 1: Intangible-intensive profile of a company: the key to outperforming

Intangible-intensive profile of a company: the key to outperforming

Angel BarajasElena Shakina

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Research question

• Do companies have certain intangible-intensive profile?

• If they do, how this profile influence the outperforming and investment attentiveness?

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Hypothesis

• By following the strategy in a certain intangible-intensive profile company is likely to outperform

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Steps of the research

Identification of the coordinates in intangible intensity (paper by Molodchik, Shakina,

Barajas, 2014)

6 components of intangibles

Identification of the profiles in the coordinates of intangibles

3-5 profiles

Estimation of the relation between the company profile and its outperforming

For the whole distribution of the companies

For those companies that create value

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Econometric strategyPCA for each of the element of IC (intangibles): Human Capital (HC), Relational Capital (RC), Structural Capital (SC)

2 PCA in HC: management capability (MC), human resource capability (HRC)

2PCA in RC: customer loyalty (CL), networking capability (NWC)

2 PCA in SC: business process capability (BPC), innovative capability (InnC)

K-mean clustering 3 clusters with almost equal number of cases (2500-3300)

ANOVA Estimate the difference between clusters according to each criterion

Regression EVA=f(MC, HRC, CL, NWC, BPC, InnC, MC*CP, HRC*CP, CL*CP, NWC*CP, BPC*CP, MC*IP, HRC*IP, CL*IP, NWC*IP, BPC*IP, CP, IP, ind, year)MVA=g(MC, HRC, CL, NWC, BPC, InnC, MC*CP, HRC*CP, CL*CP, NWC*CP, BPC*CP, MC*IP, HRC*IP, CL*IP, NWC*IP, BPC*IP, CP, IP, ind, year)

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