Performance evaluation of organisational units based on key performance indicators with agility approach by using MADM, QFD; a case study in Darakar Company

2016 ◽  
Vol 17 (2) ◽  
pp. 198
Author(s):  
Hadi Shirouyehzad ◽  
Farimah Mokhatab Rafiei ◽  
Elmira Shahgholi
Keyword(s):  
Performance Evaluation ◽  
Performance Indicators ◽  
Key Performance Indicators

scholarly journals Misfit? The Use of Metrics in Innovation

2021 ◽  
Vol 14 (8) ◽  
pp. 388
Author(s):  
Ilse Svensson de Jong
Keyword(s):  
Performance Indicators ◽  
Business Performance ◽  
Strategic Change ◽  
Key Performance Indicators ◽  
Significant Degree ◽  
Other Information ◽  
Actual Use ◽  
Sales Organizations ◽  
Organizational Levels

Measuring innovation is a challenging but essential task to improve business performance. To tackle this task, key performance indicators (KPIs) can be used to measure and monitor innovation. The objective of this study is to explore how KPIs, designed for measuring innovation, are used in practice. To achieve this objective, the author draws upon literature on business performance in accounting and innovation, yet moves away from the functional view. Instead, the author focuses explicitly on how organizational members, through their use of KPIs in innovation, make sense of conflicting interpretations and integrate them into their practices. A qualitative in-depth case study was conducted at the innovation department of an organization in the process industry that operates production sites and sales organizations worldwide. In total, 28 interviews and complementary observations were undertaken at several organizational levels (multi-level). The empirical evidence suggests that strategic change, attributed to commoditization, affects the predetermined KPIs in use. Notably, these KPIs in innovation are used, despite their poor fit to innovation subject to commoditization. From a relational perspective, this study indicates that in innovation, KPIs are usually complemented by or supplemented with other information, as stand-alone KPIs exhibit a significant degree of incompleteness. In contrast to conventional studies in innovation and management accounting, this study explores the use of key performance indicators (KPIs) in innovation from an interpretative perspective. This perspective advances our understanding of the actual use of KPIs and uncovers the complexity of accounting and innovation, which involve numerous angles and organizational levels. Practically, the findings of this study will inform managers in innovation about the use of KPIs in innovation and the challenges individual organizational members face when using them. In innovation, KPIs appear to be subjective and used in unintended ways. Thus, understanding how KPIs are used in innovation is a game of reading between the lines, and these KPIs can be regarded as misfits.

An analytic network process model for hospital facilities management performance evaluation

Facilities ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joseph H.K. Lai ◽  
Huiying (Cynthia) Hou ◽  
David J. Edwards ◽  
P.L. Yuen
Keyword(s):  
Performance Evaluation ◽  
Performance Indicators ◽  
Process Model ◽  
Evaluation Model ◽  
Analytic Network Process ◽  
Facilities Management ◽  
Focus Group Study ◽  
Content Type ◽  
Network Process

Purpose This study aims to establish a rigorous model that can pragmatically evaluate the facilities management (FM) performance of hospitals. Design/methodology/approach Among the applicable performance indicators that were identified from extant literature, a focus group study shortlisted ten key performance indicators (KPIs) in four categories (safety, physical, financial and environmental) and verified their practicality. Using the analytic network process (ANP) method to process the focus group’s responses yielded importance weightings for the KPIs and developed the intended evaluation model. This model was then validated by a case study. Findings From the empirical data collected, two types of FM performance data and two scenarios of KPI scores were identified. To process these data and scores, a robust calculation method was devised and then proved useful in obtaining an overall score for holistic hospital FM performance. The case study confirmed the appropriateness and validity of the model developed. Research limitations/implications Through illustrating how the ANP method could be applied to develop an FM performance evaluation model, the study contributes knowledge to the multi-criteria decision-making domain. Despite the geographical limitation of the model established (i.e. centered around a group of hospitals investigated in Hong Kong), the study can serve as a reference for developing performance evaluation models for other buildings or infrastructures globally. Practical implications The model constitutes a practical tool for evaluating the FM performance of hospitals. Using this model on a regular basis will enable performance benchmarking and hence, continuous improvement of FM services. Originality/value The ANP model established is the first of its kind tailored for evaluation of hospital FM performance.

Benchmarking Performance Indicators of Indian Rail Freight by DEA Approach

2019 ◽  
pp. 173-190
Author(s):  
Neeraj Bhanot ◽  
Harwinder Singh
Keyword(s):  
Performance Evaluation ◽  
Performance Indicators ◽  
Secondary Data ◽  
Container Terminals ◽  
Operational Planning ◽  
Data Envelopment ◽  
Business Operations ◽  
Benchmarking Performance ◽  
Ccr Model

The overall development of business operations logistics activities becomes more important for firms with the globalization of economy, and therefore performance measurement, being equally important. In order to break monopolistic control of Container Corporation of India (CONCOR), Indian Railways entered competition in the container segment in January 2006 through private-public participation for customer-centric competitiveness. The purpose of this chapter is to benchmark the performance indicators in CONCOR. A case study has been conducted employing super-efficiency models of data envelopment analysis (DEA) on secondary data of CONCOR container terminals from 1994-95 to 2015-16 for performance evaluation within CONCOR. The exercise identified efficiency trends fluctuating between 75.83% to 109.51% (CCR model) and 93.52% to 100% (BCC model) within CONCOR, owing to lack of operational planning and lack of efficient staff.

Strategic Planning for E-Learning in a Polytechnic

2011 ◽  
pp. 47-65 ◽  
Author(s):  
Tony Bates
Keyword(s):  
Strategic Planning ◽  
Faculty Development ◽  
Performance Indicators ◽  
Strategic Plan ◽  
Key Performance Indicators ◽  
Core Values ◽  
Face To Face ◽  
E Learning ◽  
And Training

This chapter is a case study of how a polytechnic developed a strategic plan for e-learning. It describes the institution’s rationale for moving more strongly into e-learning, the processes followed by the institution to develop a plan and ensure its acceptance through the institutional community, and the factors that facilitated the process. It indicates that attention to objectives, core values and principles, and faculty development and training, are critical for the successful transition from mainly face-to-face teaching to e-learning. The development of key performance indicators will allow the success of the plan to be measured in 2010.

scholarly journals Establishment of Key Performance Indicators for Green Building Operations Monitoring—An Application to China Case Study

Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 976 ◽  
Author(s):  
Jinqiu Li ◽  
Qingqin Wang ◽  
Hao Zhou
Keyword(s):  
Environmental Quality ◽  
Performance Indicators ◽  
Green Building ◽  
Key Performance Indicators ◽  
Energy System ◽  
Energy Performance ◽  
Operational Performance ◽  
Indoor Environmental Quality ◽  
Evaluation Standards

Released green building evaluation standards for operation stage include a huge number of indicators, which are very comprehensive and systematic. However, the indicators of these standards are very complicated and a large amount of time and manpower are consumed for their evaluation. To evaluate the operational performance of green buildings more practically and efficiently, some studies collect the operational data for part of the indicators (mainly focusing on building energy performance, indoor environmental quality or occupant satisfaction), which are too rough to evaluate the performance of green building. This paper proposed a total of 27 key performance indicators (KPIs) for green building operations monitoring. The number of proposed indicators is much fewer than the evaluation standards, as well as suitable for long-term monitoring, which can dramatically reduce evaluation time and cost. On the other hand, the indicators involving Outdoor environmental quality, Indoor environmental quality, HVAC system, P&D system, Renewable energy system, Total resource consumption and User behavior, which are more comprehensive and systematic than the conventional monitoring studies for operational performance of green building. Firstly, an indicators library for operations monitoring of green building was established based on relevant standards and literature review in this field. Secondly, “SMART” principle and Delphi method were adopted to select the key performance indicators for green building operations monitoring. Different background experts regarding green building industry were chosen to screen the most relevant, accessible and measurable indicators. Subsequently, two projects in China were selected for case study of key performance indicators proposed in this paper for green building operations monitoring to validate the feasibility and advancement.

Using Key Performance Indicators and Risk Measures in Continuous Monitoring

2008 ◽  
Vol 5 (1) ◽  
pp. 65-80 ◽  
Author(s):  
Mark J. Nigrini ◽  
Arlo J. Johnson
Keyword(s):  
High Risk ◽  
Risk Score ◽  
Performance Indicators ◽  
Continuous Monitoring ◽  
Risk Measures ◽  
Key Performance Indicators ◽  
Multiple Cues ◽  
Perceived Importance ◽  
Small Set

ABSTRACT: The paper describes a continuous monitoring methodology in an environment with multiple cues indicative of fraud and errors. A case study describes an application by a restaurant franchisor on the monthly sales numbers reported by franchisees. The system scores each restaurant based on variables judged to be possible indicators of fraud or errors in the monthly sales reports. The variables are weighted according to their perceived importance to obtain a final risk score for each restaurant. The output is a small set of audit targets believed to have a high risk of reporting errors. The variables can be categorized as being (1) key performance indicators, (2) statistical irregularities, (3) motivation or pressure related variables, and (4) variables related to compliance with the franchising agreement.

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