Non-Financial Performance Indicators (R&D) Impact on Individual Investors’ Decision Making

2011 ◽  
Author(s):  
Ata Alloh Mohammadi ◽  
Wan Fadzilah Wan Yusoo ◽  
Veeri Chettiar Arumugam
Keyword(s):  
Decision Making ◽  
Financial Performance ◽  
Performance Indicators ◽  
Individual Investors

An integrated framework for analysing performance indicators of Indian microfinance institutions: a multi-stakeholder perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amit Kumar Bardhan ◽  
Barnali Nag ◽  
Chandra Sekhar Mishra ◽  
Pradeep Kumar Tarei
Keyword(s):  
Decision Making ◽  
Financial Performance ◽  
Performance Indicators ◽  
Social Performance ◽  
Microfinance Institutions ◽  
Dyadic Relationship ◽  
Content Type ◽  
Integrated Framework ◽  
Overall Performance ◽  
Performance Dimensions

PurposeAn amalgamation of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytical Network Process (ANP) has been performed to develop a decision-making framework for improving the overall performance of the microfinance institutions. A primary survey was conducted to collect real-time data from the heterogeneous stakeholders of microfinance institutions across India. The validation of the proposed framework is performed by comparing the results against the conventional method of Analytical Hierarchy Process (AHP).Design/methodology/approachThis study identifies various dimensions and indicators for measuring the performance of Indian microfinance institutions. Additionally, the ranking and prioritisation of the performance dimensions and indicators is obtained by considering the mutual interrelation between them.FindingsThe study indicates that there exists a significant dyadic relationship between financial performance and social performance for improving the overall performance of the microfinance institutions. Governance is found to unidirectionally influence both financial and social performance. Among all the considered dimensions, financial performance of a microfinance institution is the most critical dimension for improving the overall performance. The top five performance indicators of the Indian microfinance institutions are funding source, borrowing and overhead cost, size of the firm, end-use of the money and depth of outreach.Research limitations/implicationsThe study was conducted in the context of Indian microfinance institutions; hence the scope of generalisation of the results is limited. This research considers both subjective and objective aspect of the performance dimensions and indicators from the perspective of multiple stakeholders (i.e. firm, society and regulator). The integrated framework is expected to aid in improving overall performance of microfinance institutions by focusing on the most critical (high prioritised) performance indicators.Originality/valueAn integrated DEMATEL-ANP framework is used in the domain of microfinance to assess the performance dimensions. This study is unique in terms of analysing performance of microfinance institutions from the perspective of heterogeneous stakeholders.

Segments Influencing Individual Investors Behavior And Their Investment Decision

2019 ◽  
Vol 118 (9) ◽  
pp. 154-160
Author(s):  
Dr. Kartikey Koti
Keyword(s):  
Decision Making ◽  
Social Factors ◽  
Stock Markets ◽  
Investment Decision ◽  
Individual Investors ◽  
Factors Affecting ◽  
The Social ◽  
Karnataka State ◽  
Essential Idea

The essential idea of this assessment is investigate the social factors affecting particular theorists' decisions making limit at Indian Stock Markets. In the examination coordinated standard of direct is Classified subject to two estimations the first is Heuristic (Decision making) and the resulting one is prospect.. For the assessment coordinated the data used is basic natured which is assembled through a sorted out survey from 100 individual money related authorities based out in Hubli and Dharwad city, Karnataka State in India on an accommodating way. The respondents were both sex and overwhelming part male were 68% . These theorists were having a spot with the age bundle between35-45 which is 38%. These respondents have completed their graduation were around 56%. These respondents had work inclusion of 5 to 10 years which is 45% and the majority of which were used in government portion which is 56%. Their compensation was between 4 to 6 Lakh and were fit for placing assets into business areas. The money related experts were widely masterminded placing assets into different portfolios like 32% in Share market and 20 % in Fixed store. These examiners mode to known various endeavor streets were through News, family and allies.  

BUSINESS INTELLIGENCE AND POWER OF KNOWLEDGE

2018 ◽  
Vol 28 (5) ◽  
pp. 1489-1496
Author(s):  
Branislav Stanisavljević
Keyword(s):  
Decision Making ◽  
Financial Performance ◽  
Competitive Advantage ◽  
Business Intelligence ◽  
National Economy ◽  
Business Performance ◽  
Medium Size ◽  
Business Decision ◽  
Economic Point ◽  
Insight Into

Research carried out in the last few years as the example of companies belonging to the category of medium-size enterprises has shown that, for example, typical enterprises, of the total number of data processed in information of importance for its business, seriously takes into consideration and process only 10% of the observed firms. It is justifiable to ask whether these 10% of the processed and analyzed business information can have an adequate potential or motive power to direct the organization to success that is measured by competitive advantages and on a sustainable basis? Or, the question can be formulated: what happens to the rest, mostly 90% of the information that the enterprise does not transform into a form suitable for business analysis and decision-making. It is precisely the task of business intelligence to find a way to utilize all the data collected and processed in the business decision-making process. In this regard, we can conclude that Business Intelligence is, in fact, the framework title for all tools and / or applications that will enable the collection, processing, analysis, distribution to decision-making bodies in the business system in order to derivate from this information valid business decisions - as the most important and / or most important task of the manager. Of course, from an economic point of view, the best decisions are management decisions that provide a lasting competitive advantage and achieve maximum financial performance. This means that business intelligence actually allows a more complete and / or comprehensive view of the overall business performance of all its parts and subsystems. But the system functions can be measured essential and positive economic and financial performance, as well as the position in the branch of the business to which it belongs, and wider, within the national economy. (Of course, today the boundaries of the national economy have become too crowded for many companies, bearing in mind globalization and competitiveness in the light of organization of work and business function). The advantage of business intelligence as a model, if accepted at the organization level, ensures that each subsystem in the organization receives precisely the information needed to make development decisions, but also decisions regarding operational activities. So, it should be born in mind that business intelligence does not imply that information is shared on some key words, on the contrary, the goal is to look at the context of the business, or in general, and that anyone in the further decision hierarchy can manage exactly the same information that is necessary for achieving excellent business performance. Because, if the insight into the information is not complete, the analysis is based on the description of individual parts, i.e. proving partial performance in the realization of individual information, which can certainly create a space for the loss of the expensive time and energy. Illustratively, if the view, or insight into the information, is not 100%, then all business decision-making is like the song of J.J. Zmaj "Elephant", about an elephant and a blindmen, where everyone feels and act only on the base of the experienced work, and brings judgment on what is what or what can be. As in this song for children, everyone thinks that he touches different animals and when they make claims about what they feel, everyone describes a completely different life. Therefore, business intelligence implies that information is fully considered and it is basically the basis or knowledge base, and therefore the basis of business excellence. In doing so, the main problem is how information is transformed into knowledge and based on it in business decision making. It is precisely in this segment that the main advantage of business intelligence is its contribution to the knowledge and business of the company based on power of knowledge. Therefore, for modern business conditions, it is characteristic that the management of the company is realized on the basis of partial knowledge about stakeholders (buyers, suppliers, competitors, shareholders, governments, institutional framework, legislation), and only a complete overview of managers at the highest level in all these partial interest groups allows managers to have a “boat” called the organization of labor leading a safe hand through the storm, Scile and Haribde threatens to endanger business, towards a calm sea and a safe harbor - called a sustainable competitive advantage based on power and knowledge.

An Analysis of the Demand for Reporting on Internal Control

2000 ◽  
Vol 14 (3) ◽  
pp. 325-341 ◽  
Author(s):  
Heather M. Hermanson
Keyword(s):  
Decision Making ◽  
Financial Reporting ◽  
Internal Control ◽  
Operational Definition ◽  
Financial Statement ◽  
Individual Investors ◽  
Internal Auditors ◽  
Additional Information ◽  
User Groups ◽  
Definition Of

The purpose of this study is to analyze the demand for reporting on internal control. Nine financial statement user groups were identified and surveyed to determine whether they agree that: (1) management reports on internal control (MRIC) are useful, (2) MRICs influence decisions, and (3) financial reporting is improved by adding MRICs. In addition, the paper examined whether responses varied based on: (1) the definition of internal control used (manipulated as broad, operational definition vs. narrow, financial-reporting definition) and (2) user group. The results indicate that financial statement users agree that internal controls are important. Respondents agreed that voluntary MRICs improved controls and provided additional information for decision making. Respondents also agreed that mandatory MRICs improved controls, but did not agree about their value for decision making. Using a broad definition of controls, respondents strongly agreed that MRICs improved controls and provided a better indicator of a company's long-term viability. Executive respondents were less likely to agree about the value of MRICs than individual investors and internal auditors.

Kenneth Fisher’s heuristics

2016 ◽  
Vol 8 (2) ◽  
pp. 130-148
Author(s):  
Carlo Massironi ◽  
Giusy Chesini
Keyword(s):  
Decision Making ◽  
Conceptual Analysis ◽  
Investment Decision ◽  
Real Life ◽  
Human Action ◽  
Theory Of Knowledge ◽  
Constructivist Theory ◽  
Individual Investors ◽  
Content Type ◽  
Radical Constructivist

Purpose The authors are interested in building descriptive – real life – models of successful investors’ investment reasoning and decision-making. Models designed to be useful for trying to replicate and evolve their reasoning and decision-making. The purpose of this paper, a case study, is to take the substantial material – on innovating the investing tools – published in four books (2006/2012, 2010, 2011, 2015) by a US stock investor named Kenneth Fisher (CEO of Fisher Investments, Woodside, California) and sketch Fisher’s investment innovating reasoning model. Design/methodology/approach To sketch Fisher’s investment innovating reasoning model, the authors used the Radical constructivist theory of knowledge, a framework for analyzing human action and reasoning called Symbolic interactionism and a qualitative analytic technique called Conceptual analysis. The authors have done qualitative research applied to the study of investment decision-making of a single professional investor. Findings In the paper, the authors analyzed and described the heuristics used by Fisher to build subsequent generations of investing tools (called by Fisher “Capital Markets Technology”) to try to make better forecasts to beat the stock market. The authors were interested in studying the evolutive dimensions of the tools to make forecasts of a successful investor: the “how to build it” and “how to evolve it” dimension. Originality/value The paper offers an account of Kenneth Fisher’s framework to reason the innovation of investing tools. The authors believe that this paper could be of interest to professional money managers and to all those who are involved in the study and development of the tools of investing. This work is also an example of the use of the Radical constructivist theory of knowledge, the Symbolic interactionist framework and the Conceptual analysis to build descriptive models of investment reasoning of individual investors, models designed to enable the reproduction/approximation of the conceptual operations of the investor.

Brisa's model for life cycle performance monitoring and decision- making process

2019 ◽  
Author(s):  
Carlos Biscaia de Oliveira
Keyword(s):  
Decision Making ◽  
Asset Management ◽  
Performance Indicators ◽  
Performance Monitoring ◽  
Decision Support Techniques ◽  
Cycle Performance ◽  
Decision Making Process ◽  
Risk Levels ◽  
Asset Portfolio ◽  
Asset Monitoring

<p>The asset management model must allow for visibility across the asset portfolio, enabling a more coherent and informed decision-making process. This topic addresses how the need to improve analytic capabilities and decision support techniques leads to the guidelines of Brisa’s Information System Dashboard, covering asset’s availability and condition indexes (Asset Monitoring), risk levels and relevant costs key performance indicators.</p>

ALOKASI ANGGARAN, INTELLECTUAL CAPITAL, KINERJA KEUANGAN, DAN INDIKATOR KINERJA UTAMA BADAN LAYANAN UMUM

2021 ◽  
Vol 07 (01) ◽  
Author(s):  
Setyo Budi Hartono ◽  
◽  
Wahab Zaenuri ◽  
Fania Mutiara Savitri ◽  
Dessy Noor Farida ◽  
...  
Keyword(s):  
Human Resources ◽  
Financial Performance ◽  
Path Analysis ◽  
Intellectual Capital ◽  
Performance Indicators ◽  
Intangible Assets ◽  
Budget Allocation ◽  
Intangible Asset ◽  
Tangible Assets ◽  
Tangible Asset

Abstrak: Penelitian ini ditujukan pada anggaran dalam bentuk intangible asset (sumber daya manusia) dan tangible asset (aset tetap dan persediaan) yang diprediksi dapat mempengaruhi intellectual capital, kinerja keuangan sekarang dan mendatang, serta indikator kinerja utama. Alokasi anggaran sebagai baromater prioritas dalam mengembangkan intellectual capital ditujukan untuk memenuhi performa keuangan bagi indikator kinerja utama organisasi. Populasi yang juga menjadi sampel yaitu unit dan fakultas pada UIN Walisongo Semarang sebanyak 30 unit. Metode pengambilan sampling menggunakan teknik sampel jenuh yang mengambil seluruh populasi. Data yang digunakan adalah data sekunder berupa laporan tahunan dan laporan pencapaian indikator kinerja utama tahun 2019-2020. Analisis data menggunakan path analysis. Hasil penelitian ini adalah alokasi APBN tahun 2019 UIN Walisongo hanya terfokus pada tangible asset sebesar 82%, sementara 18% dialokasikan untuk intangible asset. Intangible asset tidak berpengaruh secara terhadap semua hubungan, hanya tangible asset saja yang dapat mempengaruhi intellectual capital secara langsung dan kinerja keuangan sekarang secara tidak langsung. Berdasarkan hasil penelitian ini menunjukkan perlu dilakukan audit sumber daya manusia sehingga dapat ditetapkan alokasi kebutuhan anggaran bagi intangible asset-nya. Abstract: This research is aimed at the budget in the form of intangible assets (human resources) and fixed assets and inventories that are predicted to affect intellectual capital, current and future financial performance, as well as key performance indicators. Budget allocation as a priority barometer in developing intellectual capital is aimed at meeting financial performance for the organization's main performance indicators. The population that is also a sample is 30 units and architecture at UIN Walisongo Semarang. The sampling method uses a saturated sample technique that takes the entire population. The data used is secondary data in the form of annual reports and performance indicator reports for 2019-2020. Data analysis using path analysis. The results of this study were that the 2019 State Budget allocation of UIN Walisongo only focused on tangible assets by 82%, while 18% was allocated for intangible assets. Intangible assets do not affect all relationships, only tangible assets can directly affect intellectual capital and current financial performance indirectly. Results Based on this research, it is necessary to conduct an audit of human resources so that they can determine the allocation of budget requirements for intangible assets.

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