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The purpose of this paper is to improve the operational excellence of public sector services such as construction, telecommunication and health care. To achieve this endeavor, the study explores the structural attributes and obstacles in the public services and develops a Green Lean Six Sigma (GLSS) model for the public sector.

The study involved two stages: first, structured literature reviews; second, a focus group study involving Black Belts and supply chain practitioners. Using the results from the literature reviews and focus group study, the researchers have developed a Green Lean Six Sigma (GLSS) model for the public sectors.

Black belts and supply chain practitioners have identified the success in deploying Lean Six Sigma with green supply chain management. This leads to eradicating the obstacles faced by the public sector, leading to process improvement.

This study proposed an approach for developing a GLSS model for the public services, which can be applicable for other public service organizations.

The current paper presents a predictive model for process improvement in the public sector by integrating green supply chain management with Lean Six Sigma.

Organisations have recently become more aware of the importance of their employees and their contributions to organisational success (Bakker and Schaufeli, 2008). Employee engagement is one of the contributors that has been recognised to have several positive outcomes for organisations. This study was conducted in order to explore how different employee-related concepts affect employee engagement. Its purpose was to determine whether internal communication can influence employee engagement by insuring employees perceive a fulfilled psychological contract, as well as adequate organisational support. A total of 3,457 employees from 26 different organisations completed a survey that measured internal communication satisfaction, employee engagement, level of psychological fulfilment and perceived organisational support. To test the relationship between these variables, mediation analysis was conducted. Two research models with internal communication satisfaction as a mediator between the relationship of psychological contract fulfilment and engagement, and perceived organisational support and engagement were tested. The results show that internal communication satisfaction is a significant mediator of both the relationship of psychological contract fulfilment and engagement, as well as the relationship between perceived organisational support and engagement. This indicates that internal communication could be used in order to manage psychological contract fulfilment and perceived organisational support with the intent of increasing employee engagement, and consequently, overall organisational performance.

To identify the Obama administration’s policy responsiveness to the (African) American LGBT communities.

Theory development and content analysis.

Civic universalism, as a theory, can explain President Obama’s evolution on his support for marriage rights for same-sex couples. Obama employed the concept of e pluribus unum in his many approaches to LGBT responsive politics.

To date, theoretical development within the social sciences of LGBT policy responsiveness is limited.

Very little is written on the subject of LGBT (Lesbian, Gay, Bisexual, and Transgendered) politics in the 21st century. The study of the LGBT experience generally has been devoid of political variables because of a lack of attention toward LGBT issues, until recently, in national political party agendas. In this chapter, we review some of the contours of the LGBT community’s fight for political recognition in the United States as a precursor to the election and reelection of President Obama. Drawing parallels with presidential responsiveness toward Blacks in their quest for rights, we examine the Obama administration’s LGBT public policy initiatives as administrative policy and programs. We conclude by identifying new areas of research to explore on LGBT politics.

Nowadays, firms are keen on improving the quality culture in the organizations. The proven success of Lean and Six Sigma has given rise to the synergetic Lean Six Sigma (LSS) approach that has been catching fire in the past one decade. However, there exists a gap between the understanding and implementation of LSS in the organizations, especially in the emerging economies. Taking this as a valuable opportunity, the purpose of this paper is to present a development of LSS training module.

This study starts with a literature review of LSS to reinforce the understanding of the research subject in scope of manufacturing sector. Then, an online questionnaire was designed and used to collect responses from 181 companies located in the Indian sub-continent. Subsequently, the results obtained from the survey were analyzed using COARSE approach.

This study reveals two key findings and associated contributions. First, it was found that the overall awareness of LSS within the responded manufacturing firms is about 70.4 percent. Second, there is no single standard training module that exists in any of the sampled firms to cater to their quality programs. Hence, in order to improve the LSS awareness which could subsequently help managers as a resource for creating an efficient workplace, this paper presents a structured LSS training framework.

Although this paper presents the importance of LSS and associated awareness level among the responded firms, more empirical evidence is required to generalize the model findings. Second, this study is scoped to firms that work out of the Indian sub-continent, and this provides a future opportunity to expand the scope of this research toward a global study for a comparison between emerging and developed economies. Third, this study is limited to manufacturing firms and hence paves an opportunity to research on a similar theme in services context as well.

Before embarking on an LSS journey, an organization can use the LSS training module proposed in this study to assess the employee awareness on LSS. Furthermore, organizations that already have a mature LSS practice can incorporate the LSS training module for periodic evaluation of the employees for effective change management.

The training module presented in this paper is the original contribution by the authors. This is no association to any single identifiable organization or associated funding. The direct practical implication of its application in real time is the value that managers could derive from the proposed LSS training framework.

The purpose of this paper is to analyze the nature and the evolution of manufacturer–supplier relationships in Thailand's automobile industry and to identify the factors that influence the evolution of these relationships.

The study is based on case research method involving in‐depth interviews with 120 local and expatriates of 7 companies and their 14 suppliers.

In Thailand, the manufacturer–supplier relationship starts out as a market‐exchange‐type relationship, and then gradually moves to a partnering type. The stages in evolution involve constant efforts on the part of foreign manufacturers to develop the suppliers by offering resources, training, feedback and solutions. The supplier capability building programs, bridging of cultural differences and formation of trust provides the basis for enduring partnerships. These partnerships are symbiotic relationships in which manufacturers benefit from suppliers' knowledge of local production and market factors and suppliers benefit from manufacturer's technical and managerial support. Additionally, closer collaboration with suppliers helps to prevent the leakage of business intelligence and theft of intellectual property and to prevent suppliers from working with competitors, thus allowing manufacturers to devote undivided attention to smooth supply of parts without any shortage.

In emerging markets, the local suppliers play key role in the success of foreign automobile companies. However, the local suppliers need technical and managerial support from manufacturers. The process of building a network of competent local suppliers consumes time and resources, therefore manufacturers should take a long‐term view of the market. The undeniable importance of overcoming cultural differences and building trust is the hallmark of successful partnerships.

The paper highlights the importance and process of developing local suppliers in emerging markets using Thai automobile industry as an example.

This study aims to explore the collective influence of several factors, namely, thermal radiation, Brownian motion, magnetic field and variable viscosity parameter, on the boundary layer flow, heat and mass transfer of an electrically steering nanofluid over a radially stretching exterior subjected to convective heating. In addition, the impacts of thermal and solutal buoyancy forces and activation energy are taken into account. The enlarging velocity is assumed to vary linearly with radial distance.

Through the similarity transformation technique, the governing highly nonlinear partial differential equations are transformed into a set of nonlinear ordinary differential equations, which are then numerically solved using the Runge–Kutta–Fehlberg method with a shooting technique.

Graphical depictions are provided to analyze the velocity, temperature and nanoparticle concentration fields under the influence of various pertinent parameters. Furthermore, local skin friction, local Nusselt and Sherwood numbers are quantitatively presented and discussed. A comparison with previous results demonstrates good agreement.

This study uniquely integrates multiple factors influencing boundary layer flow in electrically conducting nanofluids, offering a nuanced understanding of heat and mass transfer over radially stretching surfaces. By using advanced numerical methods, it provides valuable insights and quantitative data that can inform practical applications in engineering and materials science.

In this chapter, we investigate the role of the Internet of Things (IoT) for a more sustainable future. The IoT is an umbrella term that refers to an interrelated network of devices connected to the internet. It also encompasses the technology that enables communication between these devices as well as between the devices and the cloud. The emergence of low-cost microprocessors, sensors and actuators, as well as access to high bandwidth internet connectivity, has led to the massive adoption of IoT systems in everyday life. IoT systems include connected vehicles, connected homes, smart cities, smart buildings, precision agriculture, among others. During the last decade, they have been impacting human activities in an unprecedented way. In essence, IoT technology contributes to the improvement of citizens' quality of life and companies' competitiveness. In doing so, IoT is also contributing to achieve the Sustainable Development Goals (SDGs) that were adopted by the United Nations in 2015 as an urgent call to action by all countries to eradicate poverty, tackle climate change and ensure that no one is left behind by 2030. The World Economic Forum (WEF) recognises that IoT is undeniably one of the major facilitators for responsible digital transformation, and one of its reports revealed that 84% of IoT deployments are presently addressing, or can potentially address the SDGs. IoT is closely interlinked with other emerging technologies such as Artificial Intelligence (AI) and Cloud Computing, for the delivery of enhanced and value-added services. In recent years, there has been a push from the IoT research and industry community together with international stakeholders, for supporting the deployment and adoption of IoT and AI technologies to overcome some of the major challenges facing mankind in terms of protecting the environment, fostering sustainable development, improving safety and enhancing the agriculture supply chain, among others.

This paper aims to explore the numerical study of the steady two-dimensional MHD hybrid Cu-Fe₃O₄/EG nanofluid flows over an inclined porous plate with an inclined magnetic effect. Iron oxide (Fe₃O₄) and copper (Cu) are hybrid nanoparticles, with ethylene glycol as the base fluid. The effects of several physical characteristics, such as the inclination angle, magnetic parameter, thermal radiation, viscous propagation, heat absorption and convective heat transfer, are revealed by this exploration.

Temperature and velocity descriptions, along with the skin friction coefficient and Nusselt number, are studied to see how they change depending on the parameters. Using compatible similarity transformations, the controlling equations, including those describing the momentum and energy descriptions, are turned into a set of non-linear ordinary differential equations. The streamlined mathematical model is then solved numerically by using the shooting approach and the Runge–Kutta method up to the fourth order. The numerical findings of skin friction and Nusselt number are compared and discussed with prior published data by Nur Syahirah Wahid.

The graphical representation of the velocity and temperature profiles within the frontier is exhibited and discussed. The various output values related to skin friction and the Nusselt number are shown in the table.

The new results are compared to past research and discovered to agree significantly with those authors’ published works.

Many organizations have reported significant benefits after the implementation of Lean Six Sigma (LSS). Embracing LSS requires asking some important questions: How Lean Six Sigma Readiness (LESIRE) can be measured? How can an organization identify the barriers for LESIRE? Answers to these questions are critical to both academicians and practitioners. The paper aims to discuss this issue.

This study illustrates the development process of a Lean Six Sigma Readiness (LESIRE) evaluation model to assess an organization’s readiness for LSS deployment using the fuzzy approach. The model was developed from 4 enablers, 16 criteria and 46 attributes of LSS, identified through a literature review.

To demonstrate the efficiency of the model, this study testing the LESIRE evaluation model in three Indian SMEs. Using experts’ ratings and weight, the researchers calculated the Fuzzy Lean Six Sigma index (FLSS) which indicates the LESIRE level of an organization and the Fuzzy Performance Importance Index (FPII) that helps to identify the barriers for LESIRE.

The main limitations of this study are that it did not consider the failure factors of LSS for model development and the LESIRE was only tested in manufacturing industries. Thus, future researchers could focus on developing a model with failure factors. The results obtained from the SMEs show that LESIRE is capable of assessing LESIRE in an industrial scenario and helps practitioners to measure LESIRE for the future decision making process.

The LESIRE model is easy to understand and use without much computation complexity. This simplicity makes the LESIRE evaluation model unique from other LSS models. Further, LESIRE was tested in three different SMEs, and it aided them to identify and improve their weak areas, thereby readying them for LSS deployment.

The main contribution of this study it proposes a LESIRE model that evaluates the organization for FLSS and FPII for LESIRE, which is essential for the organization embarking on an LSS journey. Further, it improves the readiness of the organization that is already practicing LSS.