A framework for an effective decision support system in real estate portfolio management

2016 ◽  
Author(s):  
Carsten Lausberg ◽  
Patrick Krieger
Keyword(s):  
Decision Support ◽  
Real Estate ◽  
Decision Support System ◽  
Support System ◽  
Portfolio Management ◽  
Effective Decision ◽  
Effective Decision Support

Conceptual framework for real estate transactions

2020 ◽  
Vol 38 (3) ◽  
pp. 245-262
Author(s):  
Werner Gleißner ◽  
Cay Oertel
Keyword(s):  
Risk Management ◽  
Decision Support ◽  
Real Estate ◽  
Decision Support System ◽  
Conceptual Framework ◽  
Support System ◽  
Portfolio Management ◽  
Management Practices ◽  
Content Type ◽  
Legal Obligations

PurposeThe purpose of this paper is the development for a conceptual framework with regard to the risk management of real estate positions as foundation for transaction decisions. In this context, the current market environment and legal obligations are the main drivers for market participants to improve their risk management practices. Based on this environment, a practical but science backed model is outlined.Design/methodology/approachThe paper uses a conceptual approach based on the existing literature to develop a practical decision support system. In addition, the current risk management best practices are outlined to illustrate the corporate and methodological foundation for the decision support system.FindingsThe conceptual model development reveals a clear necessity for the supplementation of price to value measures. Additional measures are derived from theoretic considerations based on Monte Carlo Simulation approaches to the risk management of property investments. These additional risk metrics support investors in order make risk-appropriate decisions.Practical implicationsThe resulting decision support system can be applied to the risk management of transaction decisions. Here, the model can be applied in any investment decision to support portfolio management considerations from a comprehensive risk management perspective. Investors can implement the system as part of their transaction procedure.Originality/valueThe existing body of literature mainly focuses on macroeconomic ratios in the context of decision support. In contrast, the present paper reveals a corporate decision support system, which is supposed to foster decisions of market agents especially with regard to potential price and value divergences and tightening legal obligations.

scholarly journals Review of real-time effective decision support system for water resource management

2021 ◽  
Vol 309 ◽  
pp. 01211
Author(s):  
S. VenkatCharyulu ◽  
G.K. Viswanadh
Keyword(s):  
Decision Support ◽  
Resource Management ◽  
Decision Support System ◽  
Water Resource ◽  
Support System ◽  
Water Resource Management ◽  
Research Work ◽  
Effective Decision ◽  
Effective Decision Support ◽  
System Designs

The current technologies are predominantly attract the water resource management(WRM); if this water can not adequately utilizing for human activities, then several future problems are happening. Therefore super hydro controlling technology and it’s management systems are necessary. In this investigation, various water resource management methodologies, it’s merits and demerits are reviewed. The 2R-decision support system(DESS) implementation can change the conventional water management mechanisms, DESS addresses the engineering and non-engineering issues related to WRM system. The global WRM system designs and utilizations are facing many questionaries from experts. In India, there are many WRMs, but these are work for the nation, due to this limitation nations are facing many contemporary issues. Several methods have overcome these limitations but 2R-DESS answering the complete and accurate solutions to WRM. The advanced WRM system and its functionalities are verified on one example with the river basin agencies through DESS adequately. In this research work, for WRM calculating the various measures such as catchment area improvement, supply flow, upper flow, lower flow and acknowledgement of various effecting factors. The designed 2R DESS challenging the present WRM methodologies and results outperforms present technologies.

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