Key performance indicators for the evaluation of academic and research laboratory facilities

2019 ◽  
Vol 37 (2) ◽  
pp. 208-230 ◽  
Author(s):  
Abubakar Sadiq Mahmoud ◽  
Muizz O. Sanni-Anibire ◽  
Mohammad A. Hassanain ◽  
Wahhaj Ahmed

PurposeThe purpose of this paper is to develop a comprehensive list of key performance indicators (KPIs) that can be employed in determining the functional performance of academic and research laboratory facilities.Design/methodology/approachThe study employed a two-phase approach. First, a thorough literature review was conducted to identify potential KPIs specific to the performance of laboratory facilities. This was followed by an assessment of the KPIs by 12 respondents including 6 professionals and 6 users. The KPIs were arranged in the form of a questionnaire survey containing response columns for agree/disagree, and importance rating scales for evaluation. The relative importance index values were also computed.FindingsThe result of the study was a comprehensive list of 161 KPIs classified into nine categories including: space, access/circulation, utilities and waste, environmental conditions, furniture, appearance/finishes/image, communications, storage within the space and special building features. These KPIs were perceived to be at varying levels of importance by the respondents.Originality/valueThough previous studies developed KPIs for the performance of facilities, these KPIs are not universal. Thus, the originality of this study is in its identification of a comprehensive set of KPIs unique to the design, evaluation and management of research and academic laboratory facilities.

2018 ◽  
Vol 29 (1) ◽  
pp. 41-84 ◽  
Author(s):  
Narpat Ram Sangwa ◽  
Kuldip Singh Sangwan

Purpose The purpose of this paper is to propose an integrated performance measurement framework to measure the effect of lean implementation throughout all functions of an organization. Design/methodology/approach The paper identifies the seven categories representing all organizational functions. These categories have been divided into 26 performance dimensions and key performance indicators (KPIs) for each performance dimension have been identified to measure lean performance. The interrelationship of each category with lean principles and/or lean wastes has been identified. KPIs are developed on the basis of identified criteria, frequency analysis of existing literature, and discussion with industry professionals. Finally, an integrated performance measurement framework is proposed. Findings The proposed framework evaluates the organization under seven categories – manufacturing process, new product development (NPD), human resource management, finance, administration, customer management, and supplier management. In total, 26 dimensions and 119 key performance indicators have been identified under the seven categories. Research limitations/implications The proposed framework is a conceptual framework and it is to be tested by empirical and cross-sectional studies. Originality/value The main novelty of the research is that the leanness of the organization has been measured throughout the supply chain of the organization in an integrated way. The various areas of measurement are manufacturing process, NPD, finance, administration, customer management, and supplier management. Further, the proposed KPIs are also categorized as qualitative or quantitative, strategic or operational, social or technical, financial or non-financial, leading or lagging, static or dynamic. This paper contributes to the body of knowledge in performance measurement.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Towfique Rahman ◽  
Md. Abdul Moktadir ◽  
Sanjoy Kumar Paul

Purpose Supply chains’ (SCs’) sustainability practices and recovery strategies are attaining popularity in academia and industries to improve the resilience of the SCs and to manage large-scale disruptions. The global pandemic caused by the COVID-19 has raised the question of the sustainability of essential health-care products’ SCs of Bangladesh. It is an essential avenue for making the life of people safe and secure. Despite its importance, most of the health-care SCs in Bangladesh are struggling to meet the demand of its nation due to capacity shortage, technological backwardness of the manufacturers, delivery capacity shortages and less advanced forecasting capabilities. Therefore, this study aims to investigate the key performance indicators (KPIs) of a sustainable recovery strategy in the context of health-care SCs considering the COVID-19 pandemic. Design/methodology/approach This study used a dynamic method named graph theory and matrix approach to evaluate the most critical KPIs of a sustainable recovery strategy in the context of Bangladeshi health-care SCs. Findings The result revealed that dynamic forecasting and planning with a smooth delivery and distribution support system, production capacity diversification and having alternative or multiple suppliers during extraordinary disruptions may aid in the sustainability of the health-care SCs in Bangladesh. Originality/value This study is unique as no previous study has identified and examined the sustainable recovery strategy perspective KPIs considering the COVID-19 pandemic in the context of Bangladeshi health-care SCs. This study will also add value by guiding decision-makers of the health-care SCs of Bangladesh to adopt strategies toward the sustainability of SCs.


2020 ◽  
Vol 27 (9) ◽  
pp. 2715-2735 ◽  
Author(s):  
Daniel Amos ◽  
Cheong Peng Au-Yong ◽  
Zairul Nisham Musa

PurposeKey performance indicators (KPIs) help to monitor performance, thereby revealing the gap between planned and executed results relative to organizational objectives. The purpose of this paper is to develop KPIs for performance measurement of facilities management (FM) services in public hospitals.Design/methodology/approachFollowing a comprehensive literature review of KPIs in FM, a set of KPIs were first selected. This was then subjected to content validation by experts. Thereafter a questionnaire survey was conducted to identify participants perception on the level of importance of the proposed KPIs. The main analytical tool used was SPSS factor analysis/principal component extraction.FindingsAdapting an expanded balanced scorecard typology, the paper identifies 17 KPIs, which are useful for performance improvement of FM. The study also introduces new financial dimensions beyond the traditional cost and profit-centered metrics.Research limitations/implicationsThe study was limited to three FM services. Although the results of the Kruskal–Wallis test shows no significant difference in the level of importance on more than 80% of the indicators, larger sample is required in future studies to examine indicator preference for the respective services. An empirical study to test the proposed indicators to measure FM performance could also be a next step.Originality/valueThe paper presents the first step to develop performance indicators, which are of relevance to FM performance measurement and could be utilized to improve performance. The indicators are largely generic and can easily be adapted by other FM service sectors for performance measurement.


2019 ◽  
Vol 47 (2) ◽  
pp. 96-105 ◽  
Author(s):  
Riccardo Pecori ◽  
Vincenzo Suraci ◽  
Pietro Ducange

Purpose Managing efficiently educational Big Data, produced by Virtual Learning Environments, is becoming a compelling necessity, especially for those universities providing distance learning. This paper aims to propose a possible framework to compute efficiently key performance indicators, summarizing the trends of students’ academic careers, by using educational Big Data. Design/methodology/approach The framework is designed and implemented in a distributed fashion. The parallel computation of the indicators through Map and Reduce nodes is carefully described, together with the workflow of data, from the educational sources to a NoSQL database and to the learning analytics engine. Findings This framework was tested at eCampus University, an Italian distance learning institution, and it was able to significantly reduce the amount of time needed to compute key performance indicators. Moreover, by implementing a proper data representation dashboard, it resulted in a useful help and support for educational decisions and performance analyses and for revealing possible criticalities. Originality/value The framework proposed integrates for the first time, to the best of the authors’ knowledge, a set of modules, designed and implemented in a distributed fashion, to compute key performance indicators for distance learning institutions. It can be used to analyze the dropouts and the outcomes of students and, therefore, to evaluate the performances of universities, which can, in turn, propose effective improvements toward enhancing the overall e-learning scenario.


2020 ◽  
Vol 29 (3) ◽  
pp. 235-253
Author(s):  
Rexford Abaidoo ◽  
Hod Anyigba

PurposeThis study seeks to examine the extent to which strands of inflationary related conditions (inflation expectations, inflation uncertainty and realized inflation); macroeconomic uncertainty and the likelihood of recessionary conditions influence performance indicators in the US banking sector over a specified time period.Design/methodology/approachThe study adopts seemingly unrelated regression model (SUR) advanced by Zellner (1962) in its examination of how specific strands of inflationary conditions, and other adverse macroeconomic conditions influence performance dynamics in the US banking sector.FindingsEmpirical evidence suggest that among various adverse macroeconomic conditions examined, inflation expectations and macroeconomic uncertainty tend to have significant constraining impact on key performance indicators in the US banking sector than other conditions examined. Comparatively, this study finds that inflation expectations and macroeconomic uncertainty tend to have much more constraining impact on return on equity, than on return on assets in the US banking sector. Results further suggest that among the three bank performance indicators examined, net interest margin is the least vulnerable bank performance indicator to various adverse macroeconomic conditions examined in the study.Practical implicationsApart from the various empirical results noted above, this study's findings are projected to help inform strategic planning decisions among institutions in the banking sector. The various findings could, for instance, inform policies and operational strategies geared toward reducing vulnerability associated with specific performance indicators such as return on equity. This reduction could be achieved by critically examining how the various performance indicators react to individual adverse macroeconomic conditions examined in this study. The process could ultimately help in developing tailored measures/procedures aimed at reducing how susceptible key performance indicators are to the various adverse macroeconomic conditions. This study's findings could also provide the platform for more adaptive policies aimed at minimizing the effects of noted macroeconomic conditions on operational efficiency in the banking sector.Originality/valueThe uniqueness of this study, compared to related ones found in the literature, stems from its treatment of three variant of related strands of macroeconomic condition (different variant of inflationary conditions) in the same framework in its empirical analysis.


2019 ◽  
Vol 38 (5) ◽  
pp. 797-810 ◽  
Author(s):  
Mohammad A. Hassanain ◽  
Muizz O. Sanni-Anibire ◽  
Abubakar Sadiq Mahmoud ◽  
Wahhaj Ahmed

Purpose The purpose of this paper is to present the post-occupancy evaluation (POE) of academic and research laboratory facilities. This is based on the premise that the performance of such facilities is directly connected to the productivity, health and wellbeing of its users. Design/methodology/approach The paper was carried out in two phases, first, the performance requirements for academic and laboratory facilities were identified through the extant literature. Furthermore, a questionnaire survey was developed to carry out a POE of existing academic and research laboratory facilities in a university campus in Saudi Arabia. The questionnaire was designed using a Likert scale of one to five. Finally, the satisfaction index was computed, and rates of satisfaction with the various performance requirements were determined. Findings The paper resulted into 74 performance requirements grouped into three categories. The respondents showed general satisfaction with most of the performance requirements. However, dissatisfaction was observed in performance requirements related to technical features and the availability of sustainability features. Such findings suggest the growing importance of such technical and sustainable features in modern-day laboratories. Originality/value Though few studies have employed POE in assessing the performance of academic facilities, there is still a gap regarding its application to the laboratory facilities. Thus, the originality of this study is evident in its presentation of a set of performance requirements and its further application as a case study.


Facilities ◽  
2015 ◽  
Vol 33 (3/4) ◽  
pp. 206-228 ◽  
Author(s):  
Adnan Ali Enshassi ◽  
Farida El Shorafa

Purpose – The purpose of this paper is to identify and assess the key performance indicators (KPIs) for the maintenance of public hospital buildings in the Gaza Strip. Design/methodology/approach – Four KPIs were identified and evaluated in this paper: building performance indicators (BPI), maintenance efficiency indicators (MEI), annual maintenance expenditure (AME) and urgent repair request indicator. Twenty-one buildings in 13 public hospitals in Gaza Strip Governorate were taken as the sample of this study. Findings – The results indicated that the European Gaza hospital has the highest BPI score (81.66) and the Dorra hospital has the lowest BPI score (68.26). The findings revealed that the average AME for all hospitals was $13.8/m2 which is considered to be below the standard level of expenditure. The MEI for Gaza public hospital buildings was found to be equal to 0.3 which indicated low level of maintenance expenditure. Research limitations/implications – Unavailability of certain data, lack of maintenance documentation and comparison difficulty between the Gaza Strip and Israel due to political, cultural and financial situation were some of the limitations of this study. Practical implications – The Ministry of Health (MoH) can utilize the results of this study and consider it as benchmarking for maintenance management in public hospital buildings. This can improve the current maintenance situation which ultimately will improve the health-care situation in Palestine. The Palestinian MoH should look for external funding to increase the AME, as well as aim at increasing the MEI. Social implications – The health-care situation in Palestine will be improved. Originality/value – This study is considered the first study to identify and assess the KPIs in the Gaza Strip. KPIs will assist the MoH to compare the actual and estimated performance in terms of effectiveness, efficiency and quality of workmanship.


2018 ◽  
Vol 3 (4) ◽  
pp. 431-448 ◽  
Author(s):  
Photis Panayides ◽  
Odd Jarl Borch ◽  
Anastasiya Henk

Purpose Logistics service performance measurement (PM) is a fundamental activity pertaining to the achievement of logistics goals and the improvement of services. The choice of logistics PM criteria depends on stakeholder goals and expectations, including logistics service providers, customers and government and regulatory institutions. PM is especially challenging in areas where high values are at stake, several actors are involved and uncertainty about cause-and-effect relations is high. This paper aims to examine the measurement of performance in offshore oil and gas logistics, which has unique characteristics such as a supply chain (SC) exposed to a harsh environment, the presence of several independent carriers and a highly specialised and costly set of vessels involved in long-distance transport legs. Design/methodology/approach The study is designed as a multiple case study of two Norwegian shipping companies and two international oil and gas companies. Data were collected from several parts of the offshore service SC in several Arctic oil and gas fields. Findings This paper sheds light on the performance of the SC and presents key performance indicators for logistics operations. It concludes that the measurement of SC performance must be context-specific and emphasis needs to be placed on the degree of uncertainty and inter-dependency related to the SC in question. Originality/value The study suggests a list of context-specific key performance indicators for offshore logistics with a special emphasis on the peculiarities of a harsh operational environment.


2014 ◽  
Vol 21 (6) ◽  
pp. 854-883 ◽  
Author(s):  
Gunter Festel ◽  
Martin Würmseher

Purpose – The purpose of this paper is to evaluate the operational performance of industrial park infrastructures in Germany to find first indications for cost saving potentials. Design/methodology/approach – Between 2006 and 2007, six chemical parks and chemical related industrial parks in Germany participated in a benchmarking study with focus on operation and maintenance of buildings, communication infrastructures and traffic infrastructures. Based on data analysis in combination with workshops, numerous key performance indicators were defined and calculated. Findings – To compare the different complexities of the analysed infrastructures, the most important key performance indicators were adjusted using correction factors defined and verified during the workshops. This made a discussion based on comparable and comprehensible figures possible which increased the acceptance and applicability of the benchmarking methodology. The benchmarking results showed large differences in performance levels, indicating that there are significant cost saving potentials in some industrial parks. Research limitations/implications – The comparability may remain limited due to the partly insufficient availability of data from the participants. Other limitations are due to the small number of investigated industrial parks and the focus of the benchmarking study on Germany. Originality/value – The developed benchmark and best practice methodology is well suited to evaluate best practice in the field of industrial park infrastructures. It is important for industrial parks to understand the individual performance level and to adapt best practice in all areas.


Facilities ◽  
2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Miyami Dasandara ◽  
Piumi Dissanayake ◽  
Devsayura Jude Fernando

Purpose The concept of facilities management (FM) has been acknowledged as a novel avenue brought in to ensure productivity and customer satisfaction in the Sri Lankan hotel industry. Accordingly, performance measurement (PM) has become a crucial entity, where key performance indicators (KPIs) have become the most important instruments of PM in determining how well these FM services are performing. Unfortunately, nowadays, the service quality of hotel buildings has significantly retreated due to the absence of a proper PM system with relevant KPIs. Thus, the purpose of this study was to identify relevant KPIs to measure the performance of the FM services in Sri Lankan hotel buildings. Design/methodology/approach A mixed approach was used to conduct this study. Data were gathered through expert interviews and an expert survey. The expert interviews were conducted to identify the relevancy of KPIs that are discovered through literature review to the Sri Lankan context, and the expert survey was conducted to identify their level of importance. Collected data were analysed using content and statistical data analysis methods. Findings Empirical findings revealed that a PM system with relevant KPIs can be identified as a crucial requirement for FM services in hotel buildings in Sri Lanka to meet the customer needs successfully. Adequate and relevant KPIs are significantly vital for an effective PM system for FM services. Thus, ultimately, 68 most important KPIs have been captured amongst the generally identified KPIs, which can be used in developing a proper PM system to measure the performance of FM services in hotel buildings. Originality/value The previous studies have just focused on the PM in FM services in a general manner where a significant dearth in existing knowledge can be identified when it comes to exploring relevant KPIs for an effective PM system to be implemented in hotel buildings in Sri Lanka to measure the performance of FM services. Accordingly, the current study unveils the most important KPIs, which can be used in measuring the performance of FM services in hotel buildings. The study recommends the use of a proper PM system with identified KPIs by respective industry practitioners to enrich the performance of FM services in hotel buildings in Sri Lanka and thereby achieve the ultimate goals successfully.


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