Modelling the Value Adding Attributes of Real Estate to the Wealth Maximization of the Firm

Firms develop strategies to help them achieve their primary goal of maximizing the wealth of the shareholders. These strategies should define the supporting role corporate real estate management plays; however current theory and practice do not adequately identify the direct and indirect methods by which corporate real estate management (CREM) adds value to the firm. We develop a model of how real estate adds value to the firm to help fill this void. This model can be then used to develop more precise and complete metrics to measure the value real estate adds to the firm.

Identifying and measuring the success of corporate real estate management

The added value of corporate real estate management (CREM) for the core business is not yet properly discussed and identified in spite of the recent recognition of CREM as a strategic support function of an occupier organisation. Little attention has been paid to the added value that CREM can generate from strategically supporting core business processes. The purpose of this study is to increase knowledge about the contribution of corporate real estate management to the core business by concentrating the success factors and performance measurement of CREM. The following primary research question is formed from the literature review: How can the contribution and success of the corporate real estate management be identified and measured? This study is interpretative in nature and is lying on abductive logic. The methods for primary data collection are semi-structured interviews. Based on the results of the qualitative data analysis, the research constructs are sharpened and the hypothetical model for identifying and measuring the added value of corporate real estate management is created. The empirical testing of the theoretical model is done by conducting a constructive study, where the validation of the model is done by in-depth case research. At the end, after the validation of the model, the theoretical contribution, practical utility and recommendations for future research are presented. The general model for identifying and measuring the value added by corporate real estate is a novel construct that develops the relationship between corporate strategic management systems and real estate decisions and operations. This leads to means to identify and prove the contribution of real estate to the occupier organisation and the possibilities that exist for adding value. However, the model still needs to be tested and developed further. In this study, the tested measures were developed for measuring the CREM unit's ability to achieve their aims, but there is also a need to measures, which demonstrate the benefits of CREM for core business in economical figures

MRSA CC398 ihmisillä : tulisiko zoonottisen mikrobilääkeresistenssin leviäminen estää?

MRSA-tartunnat ovat Suomessa lisääntyneet etenkin henkilöillä, jotka ovat kosketuksissa sikoihin. Eläinten parissa työskentelevien työssä suojautumista on parannettava, ja asiaan on kiinnitettävä -huomioita ammattikoulutuksessa. Mikrobilääkkeille resistenttien bakteerien leviämisen ehkäisyyn on panostettava myös maataloudessa.</p

Subsequent Event Risk in Individuals with Established Coronary Heart Disease:Design and Rationale of the GENIUS-CHD Consortium

BACKGROUND: The "GENetIcs of sUbSequent Coronary Heart Disease" (GENIUS-CHD) consortium was established to facilitate discovery and validation of genetic variants and biomarkers for risk of subsequent CHD events, in individuals with established CHD. METHODS: The consortium currently includes 57 studies from 18 countries, recruiting 185,614 participants with either acute coronary syndrome, stable CHD or a mixture of both at baseline. All studies collected biological samples and followed-up study participants prospectively for subsequent events. RESULTS: Enrollment into the individual studies took place between 1985 to present day with duration of follow up ranging from 9 months to 15 years. Within each study, participants with CHD are predominantly of self-reported European descent (38%-100%), mostly male (44%-91%) with mean ages at recruitment ranging from 40 to 75 years. Initial feasibility analyses, using a federated analysis approach, yielded expected associations between age (HR 1.15 95% CI 1.14-1.16) per 5-year increase, male sex (HR 1.17, 95% CI 1.13-1.21) and smoking (HR 1.43, 95% CI 1.35-1.51) with risk of subsequent CHD death or myocardial infarction, and differing associations with other individual and composite cardiovascular endpoints. CONCLUSIONS: GENIUS-CHD is a global collaboration seeking to elucidate genetic and non-genetic determinants of subsequent event risk in individuals with established CHD, in order to improve residual risk prediction and identify novel drug targets for secondary prevention. Initial analyses demonstrate the feasibility and reliability of a federated analysis approach. The consortium now plans to initiate and test novel hypotheses as well as supporting replication and validation analyses for other investigators