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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.

The main goal of the study is to participate in academic debates and explore women's leadership and related challenges and opportunities in governance, and the extent to which women’s leadership has been enhanced by administrative reforms. The goal is to broaden the scope of action by promoting women's engagement and leadership in local government.

This is a qualitative study that uses inductive content analysis to examine the relationship between administrative reforms and women’s leadership development in the context of local government in Southeast and South Asia.

There is a positive impact of administrative reforms on women's leadership development. There is evidence that women are preparing for leadership roles in administration, which is a sign of progress in political change and modernization of society. They have been empowered by political and administrative education in a transformative way.

This article contributes to the literature that expands knowledge about governance, female leadership and administrative reform. They are interrelated because they are precursors to the development of women's leadership in countries.

The findings of this study can help governments in South and Southeast Asia become more aware of strategies to promote gender balance in governance. The unsatisfactory situation was found to exist because of problems related to socio-political, economic, cultural, and personal development.

This study is the first to highlight the relationship between administrative reform and the development of women in leadership positions in a rarely studied developing country.

The purpose of this paper is to develop a framework that illustrates the role of Lean Six Sigma (LSS) in creating organisational innovation climate by investigating the relationship between LSS’s intangible impacts and organisational innovation climate factors.

A self-administrated survey questionnaire was distributed among 145 public sector officials to get their opinions on the relationship between various observable elements of LSS’s intangible impacts and organisational innovation climate factors, where a response rate of 73.8% was achieved. The collected data were demographically, descriptively and statistically analysed. Accordingly, a house-of-pillars-based framework that illustrates the role of LSS’s intangible impacts in creating innovation climate in an organisation was developed.

Results from this study indicated that LSS’s intangible impacts on organisational structure and hierarchy, culture, change adaptability, utilisation of staff and staff’s behavioural aspects are positively related to many of organisational innovation climate factors such as trust and openness, challenge and involvement, support for ideas and freedom and autonomy.

The findings of this study are based on the data collected from public sector organisations in the UAE and are supported by relevant literature. However, this study can provide useful guidance for further research for the generalisation of the results to wider scopes in terms of sectors and geographical domains.

The findings of this study will provide UAE public sector officials with a clear roadmap on how to use LSS for promoting innovation and fostering its implementation in practice. This study will also encourage professionals in public sectors to integrate LSS into their innovation strategies to enhance organisational innovativeness and improve service quality.

It is one of the first studies that explores LSS’s intangible impacts and assesses their relationship with organisational innovation climate factors. Hence, this study offers valuable insights for both academics and practitioners and is expected to lay a foundation for a better understanding of how LSS’s intangible impacts can be used in creating organisational innovation climate.

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.

This study is focused to support an ongoing development project of the case company's current state and the challenges of the order-to-cash (O2C) process. The O2C process is the most visible process to the customer, and therefore, its punctual and fluent order management is vital. It is observed that the high degree of manual work in the O2C process causes mistakes, delays and rework in the process. The purpose of this article is therefore to analyze the case company's current state of the O2C process as well as to identify the areas of development in this process by deploying the means of Lean Six Sigma tools such as value stream mapping (VSM).

The study was conducted as a mix of quantitative and qualitative analysis. Based on both the quantitative and qualitative data, a workshop on VSM was organized to analyze the current state of the O2C process of a case company, engaged in the energy and environment sector in Finland.

The results found that excessive manual work was highly connected to inadequate or incorrect data in pricing and invoicing activities, which resulted in canceled invoices. Canceled invoices are visible to the customer and have a negative impact on the customer experience. This study found that by improving the performance of the O2C process activities and improving communication among the internal and external stakeholders, the whole O2C process can perform more effectively and provide better customer value.

The O2C process is the most visible process to the customer and therefore its punctual and fluent order management is vital. To ensure that the O2C process is operating as desired, suitable process performance metrics need to be aligned and followed. The results gathered from the case company's data, questionnaire interviews, and the VSM workshop are all highlighted in this study. The main practical and managerial implications were to understand the real-time O2C process performance, which is necessary to ensure strong performance and enhance continuous improvement of the O2C process that leads to operational excellence and commercial competitiveness of the studied case company.

The purpose of this study is to implement lean six sigma (LSS) methodology to improve the admission process in a higher education institute (HEI).

In this study, case study research methodology is adopted and implemented through an LSS define-measure-analyze-improve-control (DMAIC) framework.

The preliminary investigation showed that the completion of the whole admission process of a new student takes an average of 88 min, which is equivalent to a sigma level of about 0.71 based on the targeted admission cycle time of 60 min. The implementation of the proposed LSS approach increased the sigma level from 0.71 to 2.57, which indicates a reduction in the mean admission cycle time by around 55%. This substantial improvement is expected not only to provide an efficient admission process but also to enhance the satisfaction of students and employees and increase the reputation of the HEI to a significant level.

In this study, the sample size used in the analysis is considered small. In addition, the effectiveness of the proposed approach is investigated using a discrete event simulation with a single-case study, which may limit generalization of the results. However, this study can provide useful guidance for further research for the generalization of the results to wider scopes in terms of different sectors of HEIs and geographical locations.

This study uses several statistical process control tools and techniques through a LSS DMAIC framework to identify and element the root causes of the long admission cycle time at a HEI. The approach followed, and the lessons learned, as documented in the study, can be of a great benefit in improving different sectors of HEIs.

This study is one of the few attempts to implement LSS in HEIs to improve the administrative process so that better-quality services can be provided to customers, such as students and guardians. The project is implemented by a group of undergraduate students as a part of their senior design project, which paves the way for involving students in future LSS projects in HEIs. This study is expected to help to improve understanding of how LSS methodology can be implemented in solving quality-related problems in HEIs and to offer valuable insights for both academics and practitioners.

The purpose of this paper is to understand the drivers that create complexity in the supply chain and develop a mathematical model to measure the level of supply chain complexity (SCC).

Through extensive literature review, the authors discussed various drivers of SCC. These drivers were classified into five dimensions based on expert opinion. Moreover, a novel hybrid mathematical model was developed by integrating analytical hierarchy process (AHP) and grey relational analysis (GRA) methods to measure the level of SCC. A case study was conducted to demonstrate the applicability of the developed model and analyze the SCC level of the company in the study.

The authors identified 22 drivers of SCC, which were further clustered into five complexity dimensions. The application of the developed model to the company in the case study showed that the SCC level of the company was 0.44, signifying that there was a considerable scope of improvement in terms of minimizing complexity. The company that serves as the focus of this case study mainly needs improvement in tackling issues concerning government regulation, internal communication and information sharing and company culture.

In this paper, the authors propose a model by integrating AHP and GRA methods that can measure the SCC level based on various complexity drivers. The combination of such methods, considering their ability to convert the inheritance and interdependence of drivers into a single mathematical model, is preferred over other techniques. To the best of the authors' knowledge, this is the first attempt at developing a hybrid multicriteria decision-based model to quantify SCC.

The purpose of this paper is to propose a conceptual framework for handling end of life (henceforth EoL) scenarios of solar photovoltaic (solar PV) panels, which includes different options available to businesses and end-users, as well as promoting the collaboration between government and all relevant stakeholders.

This paper adopts purposeful sampling, secondary data and content analysis to develop an appropriate conceptual framework that helps to create awareness of the appropriate options for dealing with the EoL cases of solar PV panels.

From the data analysis, it is revealed that reuse, repair and recycling of solar PV panels can ensure value creation, public-private partnership and a solution for education in sustainability, and thus, prolonging the useful life cycle of the products.

This paper limits the analysis on developing economies and the use of selected literature based on the recycling of solar PV panels.

This paper is an initial attempt to create an awareness by identifying, analyzing and educating the stakeholders to handle appropriately any EoL scenario of solar PV panels.

The purpose of this paper is to deal with the importance and obstacles of outsourcing strategy in project business in terms of product development perspectives. This strategy is intrinsically analyzed and evaluated with respect to the strategic business environments.

The objective of this research is to analyze the advantages and limitations of the outsourcing that have been identified in prior studies. This research has attempted to investigate the performance implications of outsourcing strategies in terms of theoretical considerations and implementation perspectives.

In this study, the authors have presented a general overview of outsourcing strategies in terms of both light and dark sides of this approach. Various driving forces of outsourcing strategy along with critical success factors are articulated within project to product development perspectives.

Future research could be continued to measure various performance variables such as productivity, sales, revenues, career opportunities, manifest in power struggles, change jobs, change organizational cultures, etc. in multiple case companies, which affect with the success or failure of outsourcing arrangements.

The term outsourcing is nowadays a widely known business strategy, where manufacturing firms share partly or fully of their production process with outside organizations or suppliers. The research approach as articulated within this paper would be beneficial for project business organizations and specially the product designers and project managers for planning and developing their strategic business potentials with respect to outsourcing and in-sourcing decisions.

In this paper a high-level decision-making model for outsourcing and a cause and effect type framework are demonstrated with a view to ease the decision-making process for the organizations managers.

This study aims to propose a method known as the fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS) for complex project selection in organizations. To fulfill study objectives, the factors responsible for making a project complex are collected through literature review, which is then analyzed by fuzzy TOPSIS, based on three decision-makers’ opinions.

The selection of complex projects is a multi-criteria decision-making (MCDM) process for global organizations. Traditional procedures for selecting complex projects are not adequate due to the limitations of linguistic assessment. To crossover such limitation, this study proposes the fuzzy MCDM method to select complex projects in organizations.

A large-scale engine manufacturing company, engaged in the energy business, is studied to validate the suitability of the fuzzy TOPSIS method and rank eight projects of the case company based on project complexity. Out of these eight projects, the closeness coefficient of the most complex project is found to be 0.817 and that of the least complex project is found to be 0.274. Finally, study outcomes are concluded in the conclusion section, along with study limitations and future works.

The outcomes from this research may not be generalized sufficiently due to the subjectivity of the interviewers. The study outcomes support project managers to optimize their project selection processes, especially to select complex projects. The presented methodology can be used extensively used by the project planners/managers to find the driving factors related to project complexity.

The presented study deliberately explained how complex projects in an organization could be select efficiently. This selection methodology supports top management to maintain their proposed projects with optimum resource allocations and maximum productivity.