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It can be said that the most important function of the health system is to provide health-care services. This directly affects society’s health and justice. To the best of the authors’ knowledge, this study is the first study that has meta-analyzed the percentage of health services utilization among Iranians to answer this question “How much is the percentage of health-care services utilization in Iran?”

This study is a systematic review and meta-analysis conducted in 2020. The literature review was done by searching the databases of Google Scholar, Scopus, PubMed, Web of Science, Science Direct, SID, Magiran and Irandoc from January 2010 to August 2020. Pooled utilization percentage (UP) was estimated by STATA 15 through random-effects meta-analysis with 95% confidence interval. The I² statistic was used to investigate the possibility of heterogeneity of articles (I² ≥ 50% indicate heterogeneity). A forest plot was applied to report the results. A funnel plot exploited due to publication bias assessment.

Approximately 22% of the reviewed articles have been done at the national level of Iran. Most studies have examined the utilization of outpatient and inpatient services. Based on the random effects method, the pooled value of UP was obtained at 47.82%, (95% CI: 39.33–56.31). Also, the pooled percentage of utilization was statistically significant (Test of UP = 0, Z = 456.44, p = 0.000).

Policymakers can improve the level of utilization from health services by expanding universal coverage, expanding insurance coverage and removing direct and indirect barriers.

To the best of the authors’ knowledge, this is the first systematic review and meta-analysis on health services utilization in Iran that completely considers the utilization rate in all health services and states the practical solutions to cope with utilization deficiencies and barriers.

Outpatient care delivery is one of the key revenue sources of a hospital which plays a salient role in timely care delivery. The key purpose of the study is to propose a multi-objective simulation-based decision support model that considers the cost of care delivery and patient dissatisfaction as its two key conflicting objectives. Patient dissatisfaction considers service fairness. Patient idiosyncrasies such as no-show, unpunctuality and balking have been considered in the model involving multiple classes of patients.

A model has been designed using data collected from field investigations. In the first stage, queuing theory based discrete event simulation model has been developed. Genetic algorithm has been used to solve the scalarized problem and obtain actionable insights. In the second stage, non-dominated sorting genetic algorithm II (NSGA-II) has been involved to achieve the Pareto optimal fronts considering equal priority of the two objectives.

The computational results considering various parameter settings can help in efficient resource planning while ensuring better care delivery. The model proposed in the study provides structural insights on the business strategy of healthcare service providers on optimizing the dual goals of care delivery cost and service fairness.

The study is one of the early works that helps to improve the care delivery process by taking into consideration the environmental factors as well as service fairness. The study demonstrates the usage of simulation-based multi-objective optimization to provide a more sustainable patient centric care delivery.

Information systems are the amalgam which holds the system together and allows us to operate in a physical sense. This is different from, and should not be confused with, monitoring and control which is about the integration and use of all available logics, insights and techniques, which together give us control over the logistics part of the business and therefore in many situations, the total business.

Global competition has pushed firms to improve and upgrade their manufacturing operations continuously. Explores the role of knowledge base and learning to facilitate this phenomenon. Developing a knowledge base requires organising knowledge and expertise for a field of inquiry and making it available in formats suitable for users to support and aid various operational, developmental, and organisational functions. Classification and coding form the basis for organising knowledge bases. Classification implies grouping objects into similar classes on the basis of some similarity criteria pertinent to one or more attributes. Learning in the context of classification implies discovering new attributes, bases for grouping and requires frequent updating of the knowledge base. A formal knowledge base makes a firm’s knowledge cumulative and serves an important integrating and coordinating role for the organisation. Presents an example application utilizing classification as a tool for knowledge acquisition in design support activities.

American management traditionally has not paid much attention to the way competitors do business despite the success of many foreign companies in U.S. markets. The Japanese have been especially successful competing in world markets, and much can be learned from both their industrial development experience and their Just‐In‐Time and Total Quality Control approach to competition. The objective of this paper is to emphasize what American management can learn from its competition with particular attention to the Japanese experience.

The major purpose of this paper is the development of a theoretical framework that can be used by corporate practitioners to understand the implicit parenting strategy of their company, assess its performance, and adjust it for improving the net corporate value creation.

In this paper, a three‐dimensional framework is developed that accounts for corporate‐to‐business and business‐to‐business interactions, value‐adding and value‐destroying activities, and strategic and operational levers. The framework is operationalized by assigning a broad set of individual activities to these levers.

The paper delivers a robust, systematic, and operational framework to assess the net benefits to a given business of being part of a corporate portfolio, and to identify and evaluate implicit parenting strategies in corporate practice. While previous studies mainly focused on broad parenting approaches with low granularity this framework now allows earlier observations to be substantiated, finer distinctions between the applied strategies to be drawn, and the core of superior value added approaches to be investigated.

The introduced framework can be used to analyze the origin and underlying drivers of conglomerate discounts and premia and thus enhance understanding of capital market valuation of multi‐business companies. The developed framework can also be the basis for the derivation of a typology of corporate parenting strategies. In this way, it can support practitioners in portfolio management – which was also the explicit motivation for the development of the original parenting advantage concept.

The outlined framework will facilitate the investigation of structural, strategic, and organizational roots of superior parenting strategies in corporate practice. It may be used to analyze performance differences of multi‐business companies that go beyond the degree of diversification and may finally contribute to solving the puzzle of the conglomerate discount.

This paper seeks to establish relationships between women's reproductive health service use, assessed longitudinally and by facility type, with service quality perceptions related to public or private health facilities.

The study was mainly secondary and quantitative in nature. It included analysing data collected by the International Institute for Population Sciences (IIPS) and The Johns Hopkins University (JHU) as a follow‐up study to the 1998‐1999 National Family Health Survey (NFHS‐2). The follow‐up survey was carried out in Tamil Nadu, Maharashtra, Bihar and Jharkhand. In 2002‐2003, these four states were selected to capture socio‐economic and demographic variations. Analysis includes composite indices and logistic regression analysis. A scale was constructed to measure utilisation levels. Dimensions include: service proximity, doctor availability, waiting time, medicines, facility cleanliness, dignified treatment, privacy, service affordability and treatment effectiveness.

Findings indicate that doctor availability, waiting time, cleanliness, privacy and affordability at private health facilities enhance the probability that a health facility will be used for any reproductive health purpose. At the combined states level, medicine availability and treatment effectiveness at public health facilities enhances service use.

The major limitation is that the study includes only selected Indian states.

The findings may enhance Indian service‐quality policy.

The paper's main contribution is that seemingly for the first time in India, healthcare service use has been measured longitudinally and then explained through service quality variables by comparing public and private health facilities.

Several studies have described health-seeking behaviour within the context of various diseases, the health status and age group. However, knowledge on patient health-seeking behaviour in the use of public and private hospitals and socio-demographic characteristics in developing countries is still scarce. This paper examines the influence of socio-demographic behavioural variables on health-seeking behaviour and the use of public and private health facilities in Ghana.

Quantitative research approach uses the modified SERVQUAL dimension as a data collection tool. Descriptive statistics with Pearson's chi-square test were conducted to determine the relationship between socio-demographic behavioural variables and health-seeking behaviour of patients using public and private hospitals.

The results showed that there is a significant relationship between the socio-demographic characteristics (sex, marital status, education, level of income) and the health-seeking behaviour of patients in regard to the utilisation of public and private health facilities (p < 0.000).

There is a significant relationship between patients' socio-demographic variables and their choice and utilisation of public and private healthcare services. This information is of value to policy makers so that they have an idea on the socio-demographic behavioural variables that influence patients' health-seeking behaviour.

This study aims to explore whether there is an association between women's empowerment and the utilization of maternal healthcare facilities.

This study considered four indices for measuring women's empowerment – labor force participation index (LFPI), decision-making power index (DMPI), attitude toward partner’s violence index (ATPVI) and knowledge level index (KLI) – and three healthcare facilities – number of antenatal visits, delivery with healthcare facilities and postnatal checkup after delivery. Data extracted for this study were from the Bangladesh Demographic and Health Survey 2011 and 2014. A chi-square test was used for bivariate analysis, and a three-level logistic regression model was applied for multivariate analysis.

An increment was observed in the practice of all considered healthcare facilities, and the percentage of highly empowered women in DMPI decreased from 2011 to 2014. This study found that higher empowerment of women in DMPI, KLI and ATPVI significantly (p-value < 0.05) increases the utilization of healthcare facilities. High empowerment of mothers in LFPI was found negatively associated with facility delivery and positively associated with the postnatal checkup.

Women's empowerment was found significantly associated with the utilization of maternal healthcare facilities. This study is seeking the attention of corresponding authority to come up with a more effective intervention program to empower women to utilize maternal healthcare facilities.

This paper aims to present an assessment of the challenges of using building information modeling (BIM) in the facilities management (FM) practice in Saudi Arabia.

A review of the relevant literature was conducted, resulting in identifying 31 potential challenges to BIM utilization in FM, which were grouped into five main categories. These challenges were used to design a five-point Likert scale questionnaire survey to obtain the feedback of experts in the FM domain in Saudi Arabia. The professionals that participated in the survey consisted of facilities managers, maintenance managers and BIM experts. The results obtained were analyzed based on the Effect Index (EI) approach. The questionnaire also contained an open-ended section for more qualitative data.

The results of the EI revealed that the top most influential challenges include “integration of the building systems design with BIM”, “definition of handover requirements and integration requirements between FM and BIM” and “getting appropriate and accurate information”. The category with the highest EI was the “challenges pertaining to the execution of BIM in FM”.

The paper outlines the critical challenges influencing the utilization of BIM in FM in Saudi Arabia and, as a result, could facilitate the development of implementation plans for BIM utilization. Thus, the study results have practical implications for stakeholders in the building industry.

The study contributes to the building industry through its discussion of the challenges of BIM utilization in FM and thus has the potential to increase the level of awareness of stakeholders in the industry.