scholarly journals A Linear Programming Based DEA-PROMETHEE Approach for Performance Evaluation

2021 ◽  
Author(s):  
Uğur Tahsin Şenel ◽  
◽  
Babak Daneshvar Rouyendegh (B.Erdebilli) ◽  
Adem Pınar ◽  
◽  
...  
Keyword(s):  
Linear Programming ◽  
Performance Evaluation ◽  
Performance Management ◽  
Success Factors ◽  
Real Life ◽  
Preference Ranking ◽  
Discrimination Power ◽  
Strategic Performance ◽  
Critical Success ◽  
Promethee Method

Companies follow their objectives with some critical success factors (CSF), and they know their bottlenecks and strong points. This provides decision support for them, but this method ignores overall performance and ranking issues. In this study, a comprehensive methodology is recommended to find out an effective solution to the performance evaluation problem for making strategic performance management. Two methods are used from different areas as a framework. To select the higher-performing departments, Data Envelopment Analyses (DEA) is used as a linear programming-based main method. Moreover, a Multi-Criteria Decision Making (MCDM) method is proposed, Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), to increase the discrimination power of DEA and eliminate undesirable results because of determining weight bounds. These two methods are combined, and a comprehensive solution model is presented in the study. In the end, a case study is given for a real-life example, an integrated DEA-PROMETHEE method is applied to the case. When the case results are examined, the proposed model produces more logical weight values and better results.

Strategic performance management system in uncertain business environment

2018 ◽  
Vol 24 (4) ◽  
pp. 923-942 ◽  
Author(s):  
Mohammad Akhtar ◽  
Sushil Sushil
Keyword(s):  
Performance Management ◽  
Management System ◽  
Critical Success Factors ◽  
Success Factors ◽  
Business Environment ◽  
Performance Management System ◽  
Content Type ◽  
Strategic Performance ◽  
Critical Success ◽  
Micro Level

Purpose Business performance management describes the processes, methodologies, metrics and systems needed to measure and manage the performance of an enterprise. Traditional performance management systems were based on financial and productivity measures but the alternate measures proposed in last more 25 years have strategic focus and incorporate variety of performance measures such as efficiency, effectiveness, productivity, quality, customer satisfaction, innovation and employee satisfaction in addition to financial. Globalization and modernization have created a business environment uncertain with associated risks which has necessitated the incorporation of various types of flexibilities such as strategic, technical, operational, information system (IS), etc. Critical success factors and implementation issues also need to be incorporated to succeed. The purpose of this paper is to present the strategic performance management system (SPMS) designed, incorporating flexibility and implementation issues, and its effectiveness empirically validated from Indian oil industry. Design/methodology/approach Based on literature review and gaps identified, a proposed model of enterprise performance management system incorporating flexibility, critical success factors and implementation issues was developed. Macro- and micro-level factors impacting the effectiveness of the model were identified, and hypotheses were developed and tested empirically from the survey study of Indian oil industry. Findings The finding met, by and large, most of the research objectives. In total, 7 macro- and 11 micro-level factors came out from the study. The strategy planning, strategy implementation, strategic flexibility (SF), SPMS design, information system flexibility (IF) flexibility, implementation issues and critical success factors, and performance feedback and learning are the macro-level factors impacting the SPMS effectiveness in measuring and managing performance of an enterprise. The SPMS implementation issues have proved to be major driver of effectiveness. Research limitations/implications The research like many such researches had limited resources, data availability and bias of respondents. However, the model was statistically validated for its reliability and hypothesis testing. The research has added to literature on SPMS as integrated model incorporated SF, information flexibility and critical success factors. However, the effect of other types of flexibilities such as organizational, operational, HR, marketing, etc., and other stakeholders should also be studied in future research to broaden the findings. Practical implications The validated SPMS has practical implications for academics and researchers. Strategic and IF, and critical success factors have been incorporated in the integrated model to take care of business uncertainties so that it is strategically aligned and facilitate in effective SPMS use and implementation. Social implications Though it has no direct social implication but, if adopted for social projects and not-for-profit organizations, it will have social benefits of efficient and effectiveness delivery of social projects and initiatives. Originality/value This is an original work carried out by the authors. The validated model along with interpretation is presented.

Data Warehousing and Analytics in Banking

2008 ◽  
pp. 1840-1854
Author(s):  
L. Venkat Narayanan
Keyword(s):  
Success Factors ◽  
Data Warehousing ◽  
Real Life ◽  
Successful Implementation ◽  
Sustainable Competitive Advantage ◽  
Critical Success ◽  
Emerging Trends ◽  
Implementation Methodology ◽  
The Right ◽  
Learning Points

Data Warehousing and Analytics represent one of the foremost technologies that can be used by banks to obtain sustainable competitive advantage. Adopting the right implementation methodology is critical to ensure successful implementation. Alternate implementation methodologies, typical challenges in implementation and critical success factors apart from real life case studies are discussed here, as learning points to aid in successful implementations. Future proofing implementations is critical to avoid rework and hence some key emerging trends have also been discussed.

Business Intelligence in Secondary Education

2018 ◽  
pp. 56-90
Author(s):  
Marco Spruit ◽  
Tiffany Adriana
Keyword(s):  
Secondary Education ◽  
Performance Management ◽  
Business Intelligence ◽  
Success Factors ◽  
Education Quality ◽  
Individual Student ◽  
Environmental Sensors ◽  
Quality Factors ◽  
Critical Success ◽  
Intelligence Approach

This research assesses the education quality factors in secondary schools using a business intelligence approach. We operationalize each layer of the business intelligence framework to identify the stakeholders and components relevant to education quality. The resulting Education Quality Indicator (EQI) framework consists of seven Critical Success Factors (CSFs) and is measured through twenty-eight Key Performance Indicators (KPIs). The EQI framework was evaluated through expert interviews and a survey, and uncovers that the most important factor in assuring education quality is a teacher's ability to communicate with students. Furthermore, a feasibility analysis was conducted in a Dutch student monitoring information system. The results pave the way towards attainable and data-driven innovation in secondary education towards personalized student and teacher performance management using business intelligence technologies, which may ultimately integrate a wide variety of data sources from environmental sensors to wearables to optimally understand each individual student and teacher.

Business Intelligence in Secondary Education

2021 ◽  
pp. 565-597
Author(s):  
Marco Spruit ◽  
Tiffany Adriana
Keyword(s):  
Secondary Education ◽  
Performance Management ◽  
Business Intelligence ◽  
Success Factors ◽  
Education Quality ◽  
Individual Student ◽  
Environmental Sensors ◽  
Quality Factors ◽  
Critical Success ◽  
Intelligence Approach

This research assesses the education quality factors in secondary schools using a business intelligence approach. We operationalize each layer of the business intelligence framework to identify the stakeholders and components relevant to education quality. The resulting Education Quality Indicator (EQI) framework consists of seven Critical Success Factors (CSFs) and is measured through twenty-eight Key Performance Indicators (KPIs). The EQI framework was evaluated through expert interviews and a survey, and uncovers that the most important factor in assuring education quality is a teacher's ability to communicate with students. Furthermore, a feasibility analysis was conducted in a Dutch student monitoring information system. The results pave the way towards attainable and data-driven innovation in secondary education towards personalized student and teacher performance management using business intelligence technologies, which may ultimately integrate a wide variety of data sources from environmental sensors to wearables to optimally understand each individual student and teacher.

Role of key performance indicators on agile transformation of performance management in research institutes towards innovative commercial agriculture

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Prabath Chaminda Abeysiriwardana ◽  
Udith Krishantha Jayasinghe-Mudalige
Keyword(s):  
Performance Management ◽  
Performance Indicators ◽  
Critical Success Factors ◽  
Success Factors ◽  
Research Culture ◽  
Commercial Agriculture ◽  
Content Type ◽  
Critical Success ◽  
Research Institutes ◽  
Research Institute

Purpose Key performance indicators (KPIs) are in use to determine how and the extent to which the business objectives of an organization are achieved. This paper aims to evaluate the contribution of a research institute in terms of KPIs to support its process of decision-making towards, etc., innovation, sustainability and improvement. Design/methodology/approach In light of this, a systemic review was conducted on a set of relevant scholarly studies to identify the trends which shed light on the possible critical success factors to be effectively used in research institutes in association with the development of commercial agriculture. It examines whether, and if so how KPIs that are highly associated with those critical success factors are disruptive in research culture in an institute with certain organization design to promote research on innovative commercial agriculture. Findings The study highlighted some important aspects of commercial agriculture that showed strong links with possible critical success factors that could be used to develop a possible KPI set for a research institute. The salient features in a model performance management system with such KPIs of a research institute having strategical contribution for commercial agriculture are further elaborated. Originality/value This manuscript is a conceptual piece that advocates research institutes geared towards commercial agriculture development to begin using KPIs as part of research culture to evaluate their success. The paper suggests that commercial agriculture – perhaps, especially in developing countries – faces many challenges and using KPIs could help diagnose when and why essential processes break down. This study shows possible avenues of KPI use in research institutes that have not been very well discussed or discussed meagerly that have high potential to be integrated into successful KPIs towards innovative commercial agriculture.

Measuring the readiness of a megaproject

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dinesh Shenoy ◽  
Biswajit Mahanty
Keyword(s):  
Literature Review ◽  
Design Methodology ◽  
Critical Success Factors ◽  
Success Factors ◽  
Real Life ◽  
Future Research ◽  
Content Type ◽  
Critical Success ◽  
Measurement Framework ◽  
Comprehensive Literature Review

PurposeA vast proportion of global megaprojects have not performed up to the expectations of their stakeholders. A failed megaproject has the potential even to derail the economy of a country where it was implemented. Stakeholders must, therefore, ensure that they do not invest in megaprojects that are bound to fail. But, how can stakeholders consistently identify such megaprojects? This paper develops a framework for a metric that can help stakeholders measure the readiness of a megaproject.Design/methodology/approachA comprehensive literature review identified 19 critical success factors of megaprojects. These success factors were integrated into a fuzzy-based model to develop the megaproject readiness metric. An assessment team studied the levels of presence and importance of these success factors in a candidate megaproject to derive its readiness.FindingsThe readiness-based model provides stakeholders valuable insights into the strong and weak areas of a megaproject. It can help stakeholders prioritize and systematically eliminate the identified weaknesses and improve megaproject readiness. While the model was tested on a metro rail megaproject, it can be used on any megaproject across domains.Originality/valueThis paper adopts the concept of readiness for the domain of megaprojects. Besides the readiness measurement framework, a vital contribution of this research is its application to a real-life case. Future research can include more granular success factors to improve the estimate of megaproject readiness.

scholarly journals Editorial: Only a Three-Legged Stool? A Review of the Concept of Alignment in the Economics of Performance Management

2019 ◽  
Vol 2 ◽  
pp. 1-12
Author(s):  
V. G. Sridharan ◽  
◽  
Michael S. C. Tse ◽  
Keyword(s):  
Performance Evaluation ◽  
Performance Management ◽  
Real Life ◽  
Incentive Compensation ◽  
Governance Structures ◽  
Organisational Performance ◽  
Theoretical Reasoning ◽  
Evaluation Decision

This editorial revisit the concept of alignment within the agency theoretic view of organisational performance management. Based on an analysis of a real-life case, we examine how far the theoretical reasoning based on the concept of ‘three-legged stool’ is practically relevant. Findings of our case suggests that while there is seemingly misalignment among the three established structures of performance evaluation, decision right allocation and incentive compensation, the ‘misalignment’ is ‘repaired’ with the support of two other governance structures namely, HR and CRM policies. We believe that the design of performance management is not to be confined to the ‘three-legged stool’ but practically extended to other forms of governance structures.

A Decision Support System for ERP Implementation in Small and Medium-Sized Enterprises

2013 ◽  
pp. 97-121 ◽  
Author(s):  
Mahmood Ali ◽  
Ying Xie ◽  
Joanna Cullinane
Keyword(s):  
Decision Support ◽  
Enterprise Resource Planning ◽  
Success Factors ◽  
Real Life ◽  
Resource Planning ◽  
Primary Data ◽  
Erp Implementation ◽  
Critical Success ◽  
Implementation Time ◽  
The Relationship

This study investigates the implementation of Enterprise Resource Planning (ERP) systems in Small and Medium-Sized Enterprises (SMEs) and the role played by certain Critical Success Factors (CSFs) in implementation. Based on primary data collected, the relationship between the variables of time, cost, and achievement is formulated for each CSF. A simulation model based Decision Support Systems (DSS) is developed to assist resource allocations in ERP implementation, such as time and budget allocated to address each CSF. The DSS also facilitates making decisions to achieve more desired performance, measured by higher achievement, lower cost, and shorter implementation time. By drawing upon this model, the authors forecast how SME can better utilise and prioritise different CSFs and resources by choosing the best implementation strategy before real life implementation, thus saving time and money.

Sign in / Sign up

Export Citation Format

Share Document