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This study aims to develop a practical methodology to identify possible areas of improvements as well as exploring how to improve the health-care staff flow within a selected department in a hospital.

It focuses on showing how to properly study and analyze the health-care services and processes practiced at a selected department within a hospital. For this, several techniques like non-value-adding activities, time motion study, spaghetti diagram, layout analysis, etc. are used.

To test the proposed methodology, a neonatal intensive care unit (NICU) of a hospital in Oman was considered as a case study. The study revealed that this unit has several potential improvements capabilities. Further, this study also discussed possible areas of improvements of this case unit and suggested how such improvements can be implemented.

Several possible improvements are suggested and are discussed with the hospital authority, which can be clarified as the re-layout of the NICU rooms, reorganization of the store to improve the staff flow, increase the work efficiency, introduction of Help Us Support Healing policy, etc., which can enhance the entire operational system at the studied NICU.

Modular product development is a turning table concept in terms of benefits and impact in manufacturing companies. It offers added benefits to the companies with respect to reduce lead-time, improve assemble ability and agility in supply chain management, promote product family and enhance customer satisfaction. This paper aims to identify the patterns of modular product development strategy by using measurement techniques.

Both quantitative and qualitative approaches are considered. In the qualitative section, relevant data on product design are collected from six case companies. On the other hand, in the quantitative section, collected data are analyzed to measure the product modularity level with the case companies.

This research identifies potential metrics which can be used successfully to measure product modularity level or index in manufacturing industries. Selection of such metrics also depends on individual company’s objectives to measure modularity index.

This research contributes to the development of modular product design that supports product family design with lean and agile (leagile) supply chain process. It also provided a parsimonious framework to mapping modules within a product, which is ultimately used to measure modularity index.

The purpose of this paper is to delineate a clear definition of health tourism, and to explain it in two sub-categories, namely, medical tourism, and wellness tourism.

Grounded theory approach through an in-depth literature review and practical data from three different cities were researched to support the study.

Determinants of travelers’ decision making for the destination of health tourism, such as distance, cost, language, economy, competency of medical technology, and culture, in each classification of health tourism, were identified.

This study suggests an inductive research model to synthesize and structure a logical relationship of determinants that affect health tourists’ decision to visit specific health tourism destinations. The results of this study are quite revealing to governments, industrial practitioners, and potential customers of health tourism in terms of the context of health tourism and the behavior of health tourists.

This study aims to investigate the relationship between travel motivation, perceived risks, travel constraints and perceived beneficial destination image that leads to visit intention among Middle-Eastern medical tourists. Some previous studies have explained these factors in detail, however, studies that explore the relationship between these factors in the Iranian context is scarce. Moreover, there are relatively very few studies, which focused on actual medical tourists in empirical investigation, therefore, there is still a lack of clarity in the literature regarding travel behavior and travel decision-making of medical tourists.

A quantitative study was performed on 161 Middle-Eastern medical tourists who visited Iran in early months of 2018. Purposive sampling method was used to collect the data from two private hospitals. Structural equation modeling with partial least square (PLS) approach was used and PLS 3.2.8 data analysis tool was used to test the hypotheses.

The data analysis results have found that perceived destination image was the strongest predictor of visit intention among medical tourists. The results have also found a positive effect of travel motivation and negative effect of perceived travel risks on perceived beneficial destination image.

This study aims to enrich the body of knowledge by investigating the relationship between the factors, which have important roles in travel behavior and decision-making of medical tourists. The study also bridges the gap in the literature by explaining the behavior of actual medical tourists. The findings of the study provide the much needed insight on the behavioral intention of medical tourists, which will help the service providers and policymakers to reform their strategies and policies accordingly.

This study aimed to contribute to the field of Human Resource Management (HRM) by providing a critical review of existing scholarly research and a thematic analysis of the workforce nationalization domain in the Gulf Cooperation Council (GCC) countries. To strengthen the literature on this topic, it seeks to identify key gaps and areas for further exploration.

A two-step systematic research methodology (qualitative and quantitative) and a thematic analysis of empirical and theoretical studies were used in this study. The quantitative review was conducted using a predesigned coding framework.

The study identified and discussed four perspectives of workforce nationalization in the GCC countries. These were (1) the conceptualization of workforce nationalization; (2) the role of institutional policies in achieving it; (3) the practices and outcomes of nationalization efforts and (4) the impact of gender and women in the nationalization process.

This study has several limitations, which the authors have addressed by proposing several future research avenues. For example, the reviewed studies are skewed toward certain countries (e.g. UAE and Saudi Arabia), which limits the generalizability of their findings.

A more comprehensive definition of nationalization, development of qualitative and quantitative measures to enhance HRM practices and outcomes, and the identification of alternative approaches to improve the employment of locals are emphasized as needs. Additionally, revised measures and mechanisms to rectify negative perceptions about entitlement and the revision of policies to integrate females in the national labor force are suggested.

Workforce nationalization initiatives in the GCC region offer a unique and rich research phenomenon replete with managerial, organizational, economic and political dilemmas. The investigation of this phenomenon would profoundly enlighten employers, policymakers and scholars.