Study on Solar Photovoltaic Industry Chain Vertical Integration Investment Decisions

2013 ◽  
Vol 805-806 ◽  
pp. 7-11
Author(s):  
Rong Sheng Chen ◽  
Min Liu
Keyword(s):  
Decision Making ◽  
Transaction Costs ◽  
Vertical Integration ◽  
Investment Decisions ◽  
Economies Of Scope ◽  
Solar Photovoltaic ◽  
Industry Chain ◽  
Manufacturing Enterprises ◽  
Competition Effects ◽  
Decision Making Behavior

Five reasons for vertical integration investment are reduction in transaction costs, access to economies of scope, and reduction in risks and damage, upgrading of competitive advantage and strategic profits. Some upstream photovoltaic manufacturing enterprises through analyzing their decision-making behavior for vertical integration of PV industry draw a conclusion that if they invest in their lower counterparts, their vertical integration behavior will come to two effects: competition effects and cooperation effect.

Analysis of Low Carbon Development Path for Coal Industry of Multiagent Network Structure under Carbon Tax Background

2014 ◽  
Vol 989-994 ◽  
pp. 5232-5236
Author(s):  
Li Hua Wang ◽  
Xin Li ◽  
Ying Ju Yuan ◽  
Qing Xiang Cai
Keyword(s):  
Decision Making ◽  
Programming Model ◽  
Carbon Tax ◽  
Coal Industry ◽  
Low Carbon ◽  
Marketing Environment ◽  
Industry Chain ◽  
Set Up ◽  
The Individual ◽  
Decision Making Behavior

Based on coal industry chain features and decision-making behavior features, considering the marketing environment changes caused by the carbon tax, models are separately set up specific to the whole industry chain and different individuals’ optimized decision-making differences, and the individual decision-making target is taken as a connecting link between the preceding and the following for the variable to integrate the model into a double-layer programming model. The results show that the model can reflect the influence of the individual selection of the industry chain on the overall interests and direct the decision-making.

scholarly journals The Cognitive and Psychological Bias in Investment Decision-Making Behavior: (Evidence From Indonesian Investor’s Behavior)

2018 ◽  
Vol 10 (1) ◽  
pp. 86
Author(s):  
Sri Utami Ady
Keyword(s):  
Decision Making ◽  
Capital Markets ◽  
Cognitive Bias ◽  
Investment Decision ◽  
Investment Decisions ◽  
Interpretive Phenomenology ◽  
Wrong Decision ◽  
Investment Decision Making ◽  
Decision Making Behavior ◽  
Psychological Bias

 The purposes of this research were to understand and analyze the behavior of the psychological bias experienced by investors in making investment decisions. Psychological bias experienced by investors led to wrong decision making and fatal losses. This research used qualitative interpretive phenomenology method to understand the phenomenon of decision making based on the perspective of investors. The result showed that: (1) The phenomenon of cognitive bias and psychological bias behavior occur in nearly all informants, (2) The Psychology bias could be divided by two types, namely: expected emotion bias behavior and immediate emotion bias behavior, (3) experience, knowledge of the capital markets and the management of good emotions determine the level of psychological stability and reduce bias behavior that could be raising the return.

scholarly journals The Cognitive and Psychological Bias in Investment Decision-Making Behavior: (Evidence From Indonesian Investor's Behavior)

2018 ◽  
Vol 10 (1(J)) ◽  
pp. 86-100
Author(s):  
Sri Utami Ady
Keyword(s):  
Decision Making ◽  
Capital Markets ◽  
Cognitive Bias ◽  
Investment Decision ◽  
Investment Decisions ◽  
Interpretive Phenomenology ◽  
Wrong Decision ◽  
Investment Decision Making ◽  
Decision Making Behavior ◽  
Psychological Bias

 The purposes of this research were to understand and analyze the behavior of the psychological bias experienced by investors in making investment decisions. Psychological bias experienced by investors led to wrong decision making and fatal losses. This research used qualitative interpretive phenomenology method to understand the phenomenon of decision making based on the perspective of investors. The result showed that: (1) The phenomenon of cognitive bias and psychological bias behavior occur in nearly all informants, (2) The Psychology bias could be divided by two types, namely: expected emotion bias behavior and immediate emotion bias behavior, (3) experience, knowledge of the capital markets and the management of good emotions determine the level of psychological stability and reduce bias behavior that could be raising the return.

scholarly journals Modelling Framework to Support Decision-Making in Manufacturing Enterprises

2013 ◽  
Vol 2013 ◽  
pp. 1-23 ◽  
Author(s):  
Tariq Masood ◽  
Richard H. Weston
Keyword(s):  
Decision Making ◽  
Integrated Modelling ◽  
Economies Of Scope ◽  
Special Focus ◽  
Industrial Case Study ◽  
Model Driven ◽  
Manufacturing Enterprises ◽  
Modelling Framework ◽  
Scope Of Application ◽  
New Framework

Systematic model-driven decision-making is crucial to design, engineer, and transform manufacturing enterprises (MEs). Choosing and applying the best philosophies and techniques is challenging as most MEs deploy complex and unique configurations of process-resource systems and seek economies of scope and scale in respect of changing and distinctive product flows. This paper presents a novel systematic enhanced integrated modelling framework to facilitate transformation of MEs, which is centred on CIMOSA. Application of the new framework in an automotive industrial case study is also presented. The following new contributions to knowledge are made: (1) an innovative structured framework that can support various decisions in design, optimisation, and control to reconfigure MEs; (2) an enriched and generic process modelling approach with capability to represent both static and dynamic aspects of MEs; and (3) an automotive industrial case application showing benefits in terms of reduced lead time and cost with improved responsiveness of process-resource system with a special focus on PPC. It is anticipated that the new framework is not limited to only automotive industry but has a wider scope of application. Therefore, it would be interesting to extend its testing with different configurations and decision-making levels.

scholarly journals Cognitive And Psychological Bias In Investment Decision-Making Behavior (Evidence From Indonesian Investor’s Behavior)

2018 ◽  
Author(s):  
Sri Utami Ady
Keyword(s):  
Decision Making ◽  
Capital Markets ◽  
Cognitive Bias ◽  
Investment Decision ◽  
Investment Decisions ◽  
Interpretive Phenomenology ◽  
Wrong Decision ◽  
Investment Decision Making ◽  
Decision Making Behavior ◽  
Psychological Bias

The purposes of this research were to understand and analyze the behavior of the psychological bias experienced by investors in making investment decisions. Psychological bias experienced by investors led to wrong decision making and fatal losses. This research used qualitative interpretive phenomenology method to understand the phenomenon of decision making based on the perspective of investors. The result showed that: (1) The phenomenon of cognitive bias and psychological bias behavior occur in nearly all informants, (2) The Psychologys bias could be divided by two tipe, namely: expected emotion bias behavior and immediate emotion bias behavior, (3) experience, knowledge of the capital markets and the management of good emotions determine the level of psychological stability and reduce bias behavior. that could be raising the return.

Investment Management and the Investment Chain

2017 ◽  
Author(s):  
Diane-Laure Arjaliès ◽  
Philip Grant ◽  
Iain Hardie ◽  
Donald MacKenzie ◽  
Ekaterina Svetlova
Keyword(s):  
Decision Making ◽  
Asset Management ◽  
Investment Decisions ◽  
Investment Management ◽  
Money Flows ◽  
Central Argument ◽  
A Chain ◽  
Asset Managers

Chapter 1 introduces the idea of the chain as related to investment management. It highlights the increasing importance and influence of the asset management industry and argues that, despite this fact, the behaviour and decision-making of asset managers has been little studied. The chapter suggests that investment decisions today cannot be understood by focusing on isolated investors. Rather, most of their money flows through a chain: a sequence of intermediaries that ‘sit between’ savers and companies/governments. The chapter introduces the central argument of the book that investment management is shaped profoundly by the opportunities and constraints that this chain creates.

Making investment decisions in stock markets using a forecasting-Markowitz based decision-making approaches

2019 ◽  
Vol 15 (2) ◽  
pp. 647-659 ◽  
Author(s):  
Zahra Moeini Najafabadi ◽  
Mehdi Bijari ◽  
Mehdi Khashei
Keyword(s):  
Decision Making ◽  
Time Series ◽  
Stock Markets ◽  
Time Series Prediction ◽  
Investment Decisions ◽  
Rate Of Return ◽  
Expected Returns ◽  
Prediction Methods ◽  
Content Type ◽  
Markowitz Model

Purpose This study aims to make investment decisions in stock markets using forecasting-Markowitz based decision-making approaches. Design/methodology/approach The authors’ approach offers the use of time series prediction methods including autoregressive, autoregressive moving average and artificial neural network, rather than calculating the expected rate of return based on distribution. Findings The results show that using time series prediction methods has a significant effect on improving investment decisions and the performance of the investments. Originality/value In this study, in contrast to previous studies, the alteration in the Markowitz model started with the investment expected rate of return. For this purpose, instead of considering the distribution of returns and determining the expected returns, time series prediction methods were used to calculate the future return of each asset. Then, the results of different time series methods replaced the expected returns in the Markowitz model. Finally, the overall performance of the method, as well as the performance of each of the prediction methods used, was examined in relation to nine stock market indices.

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