scholarly journals An Empirical Study on the Cost of Institutional Boundaries and Lacking Financial Sophistication in the Mutual Fund Selection Process

2008 ◽  
Author(s):  
Rene Fischer ◽  
Steffen Meyer ◽  
Andreas Hackethal
Keyword(s):  
Empirical Study ◽  
Mutual Fund ◽  
Selection Process ◽  
The Cost ◽  
Institutional Boundaries

THEORETICAL PRINCIPLES OF FORECASTING THE COST OF A SOFTWARE PRODUCT

2017 ◽  
Author(s):  
Pavlo Rodionov ◽  
◽  
Anna Ploskonos ◽  
Lesya Gavrutenko ◽  
◽  
...  
Keyword(s):  
Selection Process ◽  
Individual Characteristics ◽  
Successful Implementation ◽  
Software Products ◽  
Software Product ◽  
Continue Research ◽  
Cocomo Model ◽  
Factors Of Influence ◽  
The Individual ◽  
The Cost

The paper analyzes the factors that affect the amount of effort required to create a mobile application and its cost. It is established that the main factors of influence are the design of the application, its functionality, the type of mobile platform, the availability and level of testing and support, as well as the individual characteristics of the developer. Based on the analysis of information sources, the main methods and approaches to forecasting the cost of software products are identified, which include the COCOMO model, Price-to-win method, expert evaluation, algorithmic methods and the method of analogies. It is proposed to consider the method of analogies as a tool that allows you to make predictions about the cost of resources required for the successful implementation of IT projects based on the experience of similar projects. It is proved that the advantages of this method are the simplicity of its implementation and the clarity of the results obtained, which follows from the practical orientation of this tool. Among the limitations of the method of analogy is the mandatory need for reliable data relating to similar projects, as well as the difficulty of taking into account unspecified indicators. Taking into account the mentioned limitations of the method of analogies and on the basis of the analysis of scientific sources the possible directions of its optimization are determined. Thus, among the ways to improve the effectiveness of this method are those aimed at optimizing the project selection process, the data for which are used as a basis for forecasting. Attempts to improve the method of analogies by including parameters that were previously ignored by this technique seem promising. This in turn can lead to an expansion of the scope of the method of analogies and increase the accuracy of forecasts. As prospects for further research, the need to continue research in the field of optimization of the method of analogies with the subsequent practical verification of theoretical positions on the data of real projects.

The cost of civil litigation: An empirical study

1994 ◽  
Vol 14 (1) ◽  
pp. 73-86 ◽  
Author(s):  
Philip L. Williams ◽  
Ross A. Williams
Keyword(s):  
Empirical Study ◽  
Civil Litigation ◽  
The Cost

scholarly journals Challenges in Recruitment and Selection Process: An Empirical Study

Challenges ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 35 ◽  
Author(s):  
Sophia Diana Rozario ◽  
Sitalakshmi Venkatraman ◽  
Adil Abbas
Keyword(s):  
Empirical Study ◽  
Knowledge Economy ◽  
Employee Retention ◽  
Selection Process ◽  
Employee Selection ◽  
Critical Factors ◽  
Recruitment And Selection ◽  
The Right ◽  
Interview Panel ◽  
Critical Aspects

Today’s knowledge economy very much depends on the value created by the human resource of an organisation. In such a highly competitive environment, organisations have started to pay much attention to the recruitment and selection process, as employees form their main asset. However, the critical factors involved in the employee selection process is not well studied. Previous studies on the recruitment and selection process have been performed mainly to study the performance of the employees and the criteria attracting the right talent leading to employee retention and organizational efficiency. The distinction of this paper is that it studies the existing recruitment and selection process adopted by tertiary and dual education sectors in both urban and regional areas within Australia. The purpose of this research is to conduct an empirical study to identify the critical aspects of the employee selection process that can influence the decision based on different perspectives of the participants such as, hiring members, successful applicants as well as unsuccessful applicants. Various factors such as feedback provision, interview panel participation and preparations, relevance of interview questions, duration and bias were analysed and their correlations were studied to gain insights in providing suitable recommendations for enhancing the process.

scholarly journals Revisiting the use of web search data for stock market movements

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Xu Zhong ◽  
Michael Raghib
Keyword(s):  
Web Search ◽  
Selection Process ◽  
Adaptive Strategy ◽  
Computational Social Science ◽  
Search Activity ◽  
Term Selection ◽  
Search Terms ◽  
Search Data ◽  
Market Trends ◽  
The Cost

Abstract Advances in Big Data make it possible to make short-term forecasts for market trends from previously unexplored sources. Trading strategies were recently developed by exploiting a link between the online search activity of certain terms semantically related to finance and market movements. Here we build on these earlier results by exploring a data-driven strategy which adaptively leverages the Google Correlate service and automatically chooses a new set of search terms for every trading decision. In a backtesting experiment run from 2008 to 2017 we obtained a 499% cumulative return which compares favourably with benchmark strategies. A crowdsourcing exercise reveals that the term selection process preferentially selects highly specific terms semantically related to finance (e.g. Wells Fargo Bank), which may capture the transient interests of investors, but at the cost of a shorter span of validity. The adaptive strategy quickly updates the set of search terms when a better combination is found, leading to more consistent predictability. We anticipate that this adaptive decision framework can be of value not only for financial applications, but also in other areas of computational social science, where linkages between facets of collective human behavior and online searches can be inferred from digital footprint data.

4. Project Status

1988 ◽  
Vol 7 (3) ◽  
pp. 335-338 ◽  
Keyword(s):  
International Collaboration ◽  
Selection Process ◽  
Competitive Selection ◽  
Scientific Merit ◽  
Working Together ◽  
Critical Problems ◽  
The Subject ◽  
The Cost ◽  
Successful Collaboration ◽  
Successful Candidate

The LYMAN project has been the subject of industrial Phase A studies in both Australia, and within ESA. These studies have demonstrated an extremely useful international collaboration, as well as a very successful collaboration between University and Industry. Working together, we have identified all critical problems of feasibility, and have developed at least one, usually more than one, method of overcoming these while remaining within the cost and complexity envelope of the overall mission.The LYMAN mission will be the subject of a competitive selection process within ESA at the end of November 1988. One of five projects will be selected to go forward into later phases. However, the Australian LSWG are confident that, with the enormous support that the LYMAN project commands on both sides of the Atlantic, with the tremendous scientific merit of the proposed mission, and with the demonstration of feasibility of the mission in two separate Phase A studies, that LYMAN will be the successful candidate.

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