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The purpose of this study is to create a knowledge base for decision-making in healthcare design by seeking, analyzing and discussing the preferences of facility managers of healthcare facilities regarding floor finishes and their selection criteria. The goal is to enable a simplified and holistic selection of floor finishes based on multiple criteria. The authors studied floor finish selection in three healthcare units: emergency, surgery and in-patient units.

The authors completed a literature review to identify types of floor finishes currently used in healthcare facilities and the criteria applied for their selection. Using the literature survey results, a questionnaire was designed and administered to healthcare facility managers. The descriptive statistical analysis and the Friedman and Wilcoxon signed-ranks tests were used for reporting and analyzing the survey data.

The top five floor finishes used in the healthcare sector were identified as vinyl flooring, vinyl composite tile (VCT), rubber, linoleum and ceramic flooring. The top five selection criteria for floor finishes were durability, infection control, ease of maintenance, maintenance cost and user safety. The non-parametric test results show that the floor finish rankings and selection criteria were similar in the three healthcare units under study.

The most significant contribution of this research is to the design decision-making process of healthcare facilities. These results offer an understanding of what floor finishes are preferred by healthcare facility managers and why. This knowledge is crucial for designers and facility managers to make informed choices and floor finish manufacturers to keep their product line relevant to the industry.

The ongoing pandemic has gravely affected different facets of society and economic trades worldwide. During the outbreak, most manufacturing and service sectors were closed across the globe except for essential commodities such as food and medicines. Consequently, recent literature has focused on studying supply chain resilience and sustainability in different pandemic contexts. This study aims to add to the existing literature by exploring the economic, environmental and societal aspects affecting the food supply chain and assessing the impact of COVID-19 on food sustainability.

A survey method has been adopted with a questionnaire instrument investigating the role of technology, government policies, geopolitics and intermediaries on sustainable organisational management. A five-point Likert scale (i.e. 1 = strongly disagree; 5 = strongly agree) is used to evaluate the responses. The findings are based on 131 responses from entry-level workers and senior executives of different food supply chains across Asia and Europe. The data has been analysed to derive insights into the impacts of this pandemic.

The survey concludes with the significant impact of COVID-19 on the three pillars of sustainability, i.e. economic, social and environmental dimensions. The empirical analysis shows digitalisation and its applications help mitigate the negative effect of COVID-19 on sustainability. In addition, the supportive government policies and intermediatory interventions were helpful in improving sustainability at each level.

The findings have implications for businesses and policymakers. Companies can learn from the advantages of digitalisation to counter the challenges imposed by the pandemic or similar situations in the future in maintaining the sustainability of their supply chains. Managers can also learn the importance of effective organisational management in driving sustainability. Finally, policymakers can devise policies to support businesses in adopting sustainable practices in their supply chains.

This study adds to the limited literature exploring the impact of COVID-19 on food supply chain sustainability through the triple bottom line lens. To the best of the authors’ knowledge, this is also one of the first empirical studies to examine the effect of technology, government and organisational management practices on the sustainability of food supply chains.

This paper highlights the procedures and results of using a non‐parametric test to verify the statistical significance of the organisational performance improvement after the implementation of an integrated management system. The methodology has been proved to be effective for analysing performance difference based on the organisation’s balanced scorecard performance indicators. The test provides a quick snapshot of performance analysis.

The purpose of this case study is to assess and compare the performance of an academic library, in the United Arab Emirates (UAE), before and during the coronavirus disease 2019 (COVID-19) pandemic.

The study is based on data collected from the library management system, usage reports of online databases, and monthly reports and archives to evaluate and assess library performance in managerial activities, collection development, collection treatment, collection circulation, usage of digital resources, quality control, reference services and information literacy activities. Frequency distributions and non-parametric tests were used in identifying differences and testing hypotheses.

The study found that library performance before the COVID-19 pandemic outperformed library performance during the pandemic in collection development, collection treatment, collection circulation, access and use of digital resources, quality control and information literacy. On the other hand, the library demonstrated higher performance in managerial activities and reference services during the COVID-19 pandemic than that of before the pandemic period. Interestingly, the analysis of the Wilcoxon signed-ranks test revealed statistically no significant difference in the library performance before and during the COVID-19 pandemic. The results supported all the eight hypotheses stated in this study.

This is a case study based on data collected from an academic library in the UAE before and during the COVID-19 pandemic. The findings may not be generalized and may differ if more data are analyzed from many academic libraries.

COVID-19 pandemic is a turning point for library managers to increase the number of digital resources and services, to ensure that library staff are equipped with essential and up-to-date information and communication technology (ICT) skills and knowledge, to ensure that library users are equipped with essential and up-to-date information literacy skills and knowledge. These will enable them to satisfy users' information needs and ensure library operation in disasters and crisis periods.

This is one of the few studies conducted in the Gulf Cooperation Council (GCC) countries to evaluate library performance before and during COVID-19 pandemic. The findings of the study could be an important reference in understanding how libraries responded to COVID-19 pandemic in the Middle East. The results of the study may contribute to the provision of digital resources and services during the pandemic and disasters in the UAE and the Arab world.

The purpose of this paper is to discuss the results of the first four years of implementation of a quality program called “Quality Contest” (QC). This program was implemented from 2007 onward to improve the quality of hospital services by the Moroccan Ministry of Health. The peculiarity of this intervention, held every 18 months, is that it combines several approaches (self-evaluation, external audits with feedback, hospital ranking, awards and performance disclosure) and focuses on the quality of management.

The assessment tool used to evaluate the quality of hospital management consists of 80 items. In each contest, a score is attributed to each item based on the score given for self-evaluation and the score given by external auditors. The sum of these scores allows the global performance score of the hospital to be obtained. To compare the performances over time and among hospitals, Wilcoxon signed-rank, Wilcoxon–Mann–Whitney and Kruskal–Wallis statistical tests were used.

The results of the QC organized between 2007 and 2010 revealed that the hospitals participating in all the three contests had significantly improved their performance levels in terms of the quality of management. There was also a significant association between the number of times hospitals participated in the QC and the performance scores attained.

The paper reports an original quality improvement approach in a developing country that succeeded in triggering sustainable improvement dynamics by combining support (feedback) with reward (prizes) and pressure measures (ranking, performance disclosure).

Cataract surgery is a highly successful, high‐volume surgery, hence reducing surgical complications are imperative for organizations to deliver cost‐effective, high‐quality services that meet the needs of patients. This paper aims to describe 18‐month results of a sustainable program to maximize the safety of cataract surgery training.

Modifications to the comprehensive cataract‐training program and tested were developed in a controlled, interventional case series to evaluate their effect on trainee complication rates. Data collection and interpretation were performed in a prospective and blind manner.

Prior to intervention, PCR rates for trainee‐surgeons averaged 3.34 per cent cf international published figures of 4.6‐10 per cent. This compared with 1.89 per cent PCR rate for trained cataract surgeons (p<0.002, Mann Whitney test). Multiple interventions were introduced and enforced to maximize cataract surgery training safety. After 18 months follow‐up data were consistent with a statistically significant reduction in trainee PCR rates (1.53 per cent, p<0.007, Wilcoxon Signed Ranks test) compared with trained cataract surgeons (1.23 per cent, p<0.074, Wilcoxon Signed Ranks test). Parameters of training efficacy were improved or maintained during this period.

Limitations included using trained cataract surgeons as controls as apposed to a similar group of trainee surgeons. In addition, multiple interventions were simultaneously instituted, making identification of a single influential factor impossible to identify.

Maximally safe and effective cataract surgery training is achieved in Singapore without compromising service and quality markers. Similar training goals can be extrapolated to other surgical disciplines.

This is the first study to demonstrate maximally safe and effective cataract surgery training in a large patient group, over sustained periods.

This study aims to investigate and explore the impact of big data analytics (BDA) as a mechanism that could develop the ability to measure customers’ performance. To accomplish the research aim, the theoretical discussion was developed through the combination of the diffusion of innovation theory with the technology acceptance model (TAM) that is less developed for the research field of this study.

Empirical data was obtained using Web-based quasi-experiments with 104 Egyptian accounting professionals. Further, the Wilcoxon signed-rank test and the chi-square goodness-of-fit test were used to analyze data.

The empirical results indicate that measuring customers’ performance based on BDA increase the organizations’ ability to analyze the customers’ unstructured data, decrease the cost of customers’ unstructured data analysis, increase the ability to handle the customers’ problems quickly, minimize the time spent to analyze the customers’ data and obtaining the customers’ performance reports and control managers’ bias when they measure customer satisfaction. The study findings supported the accounting professionals’ acceptance of BDA through the TAM elements: the intention to use (R), perceived usefulness (U) and the perceived ease of use (E).

This study has several limitations that could be addressed in future research. First, this study focuses on customers’ performance measurement (CPM) only and ignores other performance measurements such as employees’ performance measurement and financial performance measurement. Future research can examine these areas. Second, this study conducts a Web-based experiment with Master of Business Administration students as a study’s participants, researchers could conduct a laboratory experiment and report if there are differences. Third, owing to the novelty of the topic, there was a lack of theoretical evidence in developing the study’s hypotheses.

This study succeeds to provide the much-needed empirical evidence for BDA positive impact in improving CPM efficiency through the proposed framework (i.e. CPM and BDA framework). Furthermore, this study contributes to the improvement of the performance measurement process, thus, the decision-making process with meaningful and proper insights through the capability of collecting and analyzing the customers’ unstructured data. On a practical level, the company could eventually use this study’s results and the new insights to make better decisions and develop its policies.

This study holds significance as it provides the much-needed empirical evidence for BDA positive impact in improving CPM efficiency. The study findings will contribute to the enhancement of the performance measurement process through the ability of gathering and analyzing the customers’ unstructured data.

Generator maintenance scheduling (GMS) is an essential task for electric power utilities as the periodical maintenance activity enhances the lifetime and also ensures the reliable and continuous operation of generating units. Though numerous meta-heuristic algorithms have been reported for the GMS solution, enhancing the existing techniques or developing new optimization procedure is still an interesting research task. The meta-heuristic algorithms are population based and the selection of their algorithmic parameters influences the quality of the solution. This paper aims to propose statistical tests guided meta-heuristic algorithm for solving the GMS problems.

The intricacy characteristics of the GMS problem in power systems necessitate an efficient and robust optimization tool. Though several meta-heuristic algorithms have been applied to solve the chosen power system operational problem, tuning of their control parameters is a protracting process. To prevail over the previously mentioned drawback, the modern meta-heuristic algorithm, namely, ant lion optimizer (ALO), is chosen as the optimization tool for solving the GMS problem.

The meta-heuristic algorithms are population based and require proper selection of algorithmic parameters. In this work, the ANOVA (analysis of variance) tool is proposed for selecting the most feasible decisive parameters in algorithm domain, and the statistical tests-based validation of solution quality is described. The parametric and non-parametric statistical tests are also performed to validate the selection of ALO against the various competing algorithms. The numerical and statistical results confirm that ALO is a promising tool for solving the GMS problems.

As a first attempt, ALO is applied to solve the GMS problem. Moreover, the ANOVA-based parameter selection is proposed and the statistical tests such as Wilcoxon signed rank and one-way ANOVA are conducted to validate the applicability of the intended optimization tool. The contribution of the paper can be summarized in two folds: the ANOVA-based ALO for GMS applications and statistical tests-based performance evaluation of intended algorithm.

Compared with traditional approaches, integrated project delivery (IPD) improves project performance by enhancing integration. To adopt IPD, however, existing practices need to be changed, which creates barriers to implementation. This study aims to identify the barriers to IPD practices in China and Singapore, whose practitioners show different types and levels of integration experience.

A questionnaire survey was administered to two groups of respondents: Chinese and Singaporean. The data were analyzed using three nonparametric techniques, including Wilcoxon signed-rank test, Mann-Whitney-Wilcoxon test, and Spearman rank correlation.

(1) Of 39 possible barriers, 36 were consistently felt by both Chinese and Singaporean practitioners with different backgrounds; (2) The Chinese group perceived more issues to be significant barriers than the Singaporean group; (3) The Singaporean group had more experience than the Chinese group in performing integration in five areas. This lessens some barriers to adopting IPD practices.

This study is important because it uncovers barriers to the effective implementation of IPD and shows the importance of certain types and levels of integration experience in overcoming these barriers. The results will be useful to practitioners planning to adopt IPD in China or Singapore.

Many organizations failed to generate profits after investing considerable money and time in Enterprise Resource Planning (ERP) systems. This study, therefore, sought to identify the challenges encountered by pharmaceutical firms during the post-implementation of ERP systems.

A case-based study followed by general survey-based research was carried out in pharmaceutical firms to determine the critical post-implementation challenges of ERP systems. DANP (DEMATEL-based ANP) and Wilcoxon Signed Rank test were used to find the causal/critical challenges and rank them.

After analyzing a pharmaceutical case company and conducting a general survey among pharmaceutical companies, statistical analysis was performed to identify the most significant challenges, namely, “Inefficient troubleshooting mechanism”, “Lack of training during post-implementation stage” and “Difficulty in identifying invalid data when entered into the ERP system”. Furthermore, organization-wide challenges are considered to be the most important.

The paper identifies the challenges faced during the post-implementation phase of ERP systems. This work brings out the issues with ERP systems' performance after their implementation, which is related to the quality of the ERP systems. This work will support the risk identification and mitigation during ERP implementation to eradicate the problems after its implementation. This work may trigger the ERP system developers to improve its features and performance for better manufacturing and supply chain management system in pharmaceutical firms.

This study is uniquely conducted in pharmaceutical firms to study the benefits and challenges of adopted ERP systems. A pilot case study served as the foundation for the generalizability of other pharmaceutical firms' findings through a non-parametric test.