scholarly journals The use of tools and approaches of system dynamics in the analysis of the efficiency of BIM implementation and its impact on the management and planning of investments in the construction sector

2019 ◽  
Vol 279 ◽  
pp. 01011
Author(s):  
Martin Hotový

This paper presents the use of tools and approaches of system dynamics in the analysis of the efficiency of BIM tools implementation in relation to the management and planning of investments in the construction sector. The dynamic model based on the approach of system dynamics allows to simulate the impact rate (range) of BIM implementation in strategic investment decision-making in the construction sector. Based on the analysis, the key parameters critically affecting the large construction investment projects are determined. The proposed model is implemented as a submodel in the dynamic model designed for potential refinements in the strategic planning of the extent of investments into projects of civil infrastructure of the Czech Republic. The model allows to test different strategies in the virtual world before their implementation. The prediction of future developments based on the proposed model allows to streamline planning and decision-making processes.

2020 ◽  
Vol 28 (4) ◽  
pp. 633-653 ◽  
Author(s):  
Fadi Alkaraan

Purpose This paper aims to examine the adoption of conventional and emergent analysis techniques in Strategic Investment Decision-Making (SIDM) practices in large UK manufacturing companies. It aims to update the current knowledge on SIDM practices in large manufacturing companies. The research question underlying this study: Are recently developed analysis techniques (i.e. those that aim to integrate strategic and financial analyses) being used to evaluate strategic investment projects? Design/methodology/approach The research evidence underpinning this study was made up of primary and secondary data, quantitative and qualitative. Firstly, a survey consisting of a mailed formal standard questionnaire was conducted where each respondent is required to answer the same questions based on the same system of coded responses. Secondly, qualitative data was collected using the annual reports of selected companies. Disclosures were used as supplementary source of information using the explanatory notes and parenthetical disclosures accompanying companies’ financial reporting. Sources for these disclosures included management discussions, analyses of company strategy and risk and forward-looking reports regarding future performance and growth opportunities (such as mergers and acquisitions activities). Accordingly, companies’ disclosures were used in this study as an alternative method to semi-structured interviews to collect qualitative data. More recently, companies such as Rio Tinto have prepared strategic annual reports for 2017 against the UK Corporate Governance Code (version 2016). Findings The choice and use of financial analysis techniques and risk analysis techniques depend on the type of project being evaluated. Decision makers in large UK companies do not appear to use emergent analysis techniques widely. Pre-decision control mechanisms have significant influence on SIDM practices. This includes the changes of internal and external contextual factors, including organisational culture, organisational strategies, financial consideration, comprising formal approval governance mechanisms, regulatory and other compliance policies interact with companies’ internal control systems. Companies incorporate non-financial factors alongside quantitative analysis of strategic investments opportunities. Energy efficiency and carbon reduction are key imperatives of companies’ environmental management. These factors viewed by decision makers as significant factors relevant for compliance with legislation as well as maintaining companies’ legitimacy issues, sustainable business, experience with new technology and improved company image. Research limitations/implications High risk, ambiguity and complexity are key characteristics embedded in SIDM processes. Macroeconomic issues remain crucial factors in scanning and screening investment opportunities, as reported by this study. The early stage of SIDM processes requires modelling under macroeconomic scenarios and assumptions of both internal and external parameters. Key assumptions include: projections of economic growth; commodity prices and exchange rates, introduction of technological and productivity advancements; cost and supply parameters for major inputs. SIDM practices rooted on comprehensive knowledge and experience of the industry and markets to draw subjective judgements about the riskiness of prospective projects, but these are rarely formalized into their SIDM processes. Findings of this study, however, remain within the context of UK companies. This study has its own limitations due to its time, location, respondents and sample selection, the size and the sector of the selected companies and questions addressed. Findings of this study raise a call for future research to examine SIDM processes in different settings to explore the relative impact of various organisational control mechanisms on SIDM practices. Also, to examine the influence of contextual factors (such as national culture, political, legal and social factors) on organisational control mechanisms. SIDM practices and processes have received significant attention from researchers, yet there is a lack of evidence in the literature about how companies approach strategic decision-making regarding divestments of some of their strategic investments. This type of strategic decision-making is not less important than other types of SIDM practices. Practical implications SIDM practices reflect the art and science of steering and controlling organisational resources to achieve a desired strategy. To understand the factors that shape SIDM practices and align them to organisational strategy, more attention is required to the choice and design of pre-decision controls and to the important role of strategic management accounting tools over the more traditional financial analysis techniques that have formed the focus of much prior empirical research. Social implications Key environmental issues viewed by decision makers as significant factors relevant for compliance with legislation as well as maintaining companies’ legitimacy issues and company image. Originality/value Despite their perceived importance in this study, quantitative accounting controls may fail to connect with the kind of investment decision-making required to bring strategic success. Indeed, it has been widely noted that financial evaluation techniques are inadequate for assessing strategic investment proposals; they can only function as a guideline, as SIDM practices involve so many uncertainties, risks and judgements. A key insight from this study is that the achievement of integration between the firm’s strategic investment projects and the overall organizational strategy forms a critical pre-decision control on managerial behaviour at an early stage in SIDM practices. As many strategic investment decisions are one-off, non-repeatable decisions, the information needed to support their evaluation is likely to be similarly unique. Sound SIDM practices require the support of a large amount of varied information, a significant proportion of which is collected and analysed prior to potential capital investment projects being considered, such as information related to strategic goal setting, risk-adjusted hurdle rates and the design of appropriate organisational decision hierarchies.


2020 ◽  
Vol 5 (1) ◽  
pp. 1-14
Author(s):  
Jeetendra Dangol ◽  
Rashmita Manandhar

This paper aims to assess the impact of heuristics on the investment decision by analysing the effect of four heuristic biases, i.e., representativeness, availability, anchoring and adjustment, and overconfidence bias on rationality of Nepalese investor's investment decision-making and also examines the moderating effect of the internal locus of control in between. The study used 391 respondents based on a convenient sampling procedure, and structured questionnaire survey. The study result indicates that there is a significant relationship between irrationality in investment decision-making and all four heuristic biases. In addition, the study also concludes that locus of control has significant moderating effect in the relationship between investment decisions and three heuristic biases, i.e., availability, representative and anchoring bias. However, the study documents no moderation effect in case of relationship with overconfidence bias.


1991 ◽  
Vol 28 (4) ◽  
pp. 395-415 ◽  
Author(s):  
Richard Butler ◽  
Les Davies ◽  
Richard Pike ◽  
John Sharp

2020 ◽  
Vol 218 ◽  
pp. 02026
Author(s):  
Yidi Wan ◽  
Wei Xie ◽  
Haihong Du ◽  
Wenming Pan ◽  
Jianqing Li ◽  
...  

in order to thoroughly implement the new energy security strategy of “four revolutions and one cooperation”, meet the requirements of power grid planning and management of energy administration, realize the strategic objectives of State Grid Corporation of China, actively respond to the severe external economic situation, alleviate the impact of policy-based price reduction, and improve the performance of internal investment management, the company needs scientific front-end decision-making, improve the efficiency of investment decision-making, scientifically determine the investment scale, structure and timing, and play a strategic leading role in investment decision-making. Through the analysis of internal and external management requirements, this paper constructs an auxiliary decision-making model of power grid investment to support the determination of investment scale, structure and time sequence, to realize the reasonable investment scale calculation of provincial companies, the calculation of investment structure of different voltage levels and the optimization of project delivery under the condition of given investment scale, which comprehensively considers the external supervision, economic development and internal management objectives, so as to assist the prior investment decision-making, improve the input-output efficiency, effectively improve the Advisory decision-making ability of investment data, and meet the company’s investment decision-making needs.


2018 ◽  
Vol 6 (2) ◽  
pp. 34-41
Author(s):  
Rizwan Khalid ◽  
◽  
Muhammad Javed ◽  
Khurram Shahzad ◽  
◽  
...  

The objective of this study is to examine the Impact of Overconfidence bias and Herding bias on Investment Decision Making with Moderating Role of Financial Literacy. The population was Investor, Employee and Graduate Student. A sample of 200 was selected using convenience technique. Data were collected through structure questionnaire adopted from different papers. Correlation and Regression analysis were performed to examine the result. The Results show that overconfidence bias and herding bias have a positive impact on investment decision making and Financial Literacy has positive impact on investment decision making. Based on the results and discussions of the study findings as well as the limitations, theoretical and practical implications of the study have been provided.


2017 ◽  
Vol 33 (3) ◽  
pp. 19-21

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings The decision by Guinness in 1965 to expand into Ghana was based on a robust and experienced strategic investment decision-making process (SIDM). It required the knowledge of past failures and successes to implement those lessons onto a new project. As such, the SIDM process can be seen to be one of the most important in terms of an organizations ability to expand and take advantage of situations. What Alkaraan (2016) demonstrates is the factors that govern the SIDM process, why they are important and how they function within an organization. In doing so, organizations that are struggling to succeed may be able to highlight areas that have previously been ignored, to implement a new strategic direction. Practical implications The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.


2019 ◽  
Vol 10 (4) ◽  
pp. 55 ◽  
Author(s):  
Geetika Madaan ◽  
Sanjeet Singh

Individual investor’s behavior is extensively influenced by various biases that highlighted in the growing discipline of behavior finance. Therefore, this study is also one of another effort to assess the impact of behavioral biases in investment decision-making in National Stock Exchange. A questionnaire is designed and through survey responses collected from 243 investors. The present research has applied inferential statistics and descriptive statistics. In the existing study, four behavioral biases have been reviewed namely, overconfidence, anchoring, disposition effect and herding behavior. The results show that overconfidence and herding bias have significant positive impact on investment decision. Overall results conclude that individual investors have limited knowledge and more prone towards making psychological errors. The findings of the study also indicate the existence of these four behavioral biases on individual investment decisions. This study will be helpful to financial intermediaries to advice their clients. Further, study can be elaborated to study other behavioral biases on investment decisions.


2019 ◽  
Vol 32 (2) ◽  
pp. 297-318 ◽  
Author(s):  
Santanu Mandal

Purpose The importance of big data analytics (BDA) on the development of supply chain (SC) resilience is not clearly understood. To address this, the purpose of this paper is to explore the impact of BDA management capabilities, namely, BDA planning, BDA investment decision making, BDA coordination and BDA control on SC resilience dimensions, namely, SC preparedness, SC alertness and SC agility. Design/methodology/approach The study relied on perceptual measures to test the proposed associations. Using extant measures, the scales for all the constructs were contextualized based on expert feedback. Using online survey, 249 complete responses were collected and were analyzed using partial least squares in SmartPLS 2.0.M3. The study targeted professionals with sufficient experience in analytics in different industry sectors for survey participation. Findings Results indicate BDA planning, BDA coordination and BDA control are critical enablers of SC preparedness, SC alertness and SC agility. BDA investment decision making did not have any prominent influence on any of the SC resilience dimensions. Originality/value The study is important as it addresses the contribution of BDA capabilities on the development of SC resilience, an important gap in the extant literature.


2020 ◽  
Vol 14 (1) ◽  
pp. 35-47
Author(s):  
Saloni Raheja ◽  
Babli Dhiman

Purpose In earlier studies, research has shown that EI is the only element, which influences the ways in which people develop in their lives, jobs and social skills control their emotions and get along with other people. It is EI that dictates the way people deal with one another and understand emotions. The research gap is to explore the impact of behavioral factors and investors psychology on their investment decision-making. Design/methodology/approach The information was gathered from 500 financial specialists. The region of research was the financial specialists who contribute through LSC Securities Ltd. in Punjab State. The purposive testing system was used in this examination. Findings The investigation found that the positive connection between the conduct predispositions of the financial specialists and venture choices of the speculators and positive connection between enthusiastic insight of the financial specialists and their venture choices. Yet, the authors found that the enthusiastic insight better foresees the venture choices of the financial specialists than the conduct predispositions of the speculators. Among the different elements of conduct inclinations of the speculator’s lament and carelessness are identified with the financial specialist’s venture choices. Among the various estimations of eager understanding – care, dealing with emotions, motivation, empathy and social aptitudes are related to the hypothesis decisions of the monetary pros. Research limitations/implications The sample selection was based on purposive sampling, rather than a random probability sample. The sample was area specific, restricted only to Ludhiana Stock Exchange in Punjab state. Therefore, the results of the study cannot be generalized with certainty to all the investors investing through other exchanges in other states. The inferences are based on the assumption that the data provided by the investors are true and correct. The findings may be relevant for other stock exchanges as that of the Ludhiana Stock Exchange. However, the authors do not claim the generalization of the results. Practical implications This study also helps to understand the relationship between investment decision-making and risk tolerance of investors. It will helpful for the financial advisors to know the behavioral biases of investors while making an investment decision, and therefore, they can advise investors properly to mitigate such biases. It may help the investors in understanding the subjective part of their behavior and control their emotions while taking decisions for their investment in stock market options. Social implications This research will help investment advisors and finance professionals to judge investors’ attitudes toward risk in a better way, which leads to better investment decisions. Originality/value This study is my own study and it is original and has not been published anywhere.


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