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Nonlinear mixed-convective entropy optimized the flow of hyperbolic-tangent nanofluid (HTN) with magnetohydrodynamics (MHD) process is considered over a vertical slendering surface. The impression of activation energy is incorporated in the modeling with the significance of nonlinear radiation, dissipative-function, heat generation/consumption connection and Joule heating. Research in this area has practical applications in the design of efficient heat exchangers, thermal management systems or nanomaterial-based devices.

Suitable set of variables is introduced to transform the PDEs (Partial differential equations) system into required ODEs (Ordinary differential equations) system. The transformed ODEs system is then solved numerically via finite difference method. Graphical artworks are made to predict the control of applicable transport parameters on surface entropy, Bejan number, Sherwood number, skin-friction, Nusselt number, temperature, velocity and concentration fields.

It is noticed from present numerical examination that Bejan number aggravates for improved estimations of concentration-difference parameter a_2, Eckert number E_c, thermal ratio parameter ?_w and radiation parameter R_d, whereas surface entropy condenses for flow performance index n, temperature-difference parameter a_1, thermodiffusion parameter N_t and mixed convection parameter ?. Sherwood number is enriched with the amplification of pedesis-motion parameter N_b, while opposite development is perceived for thermodiffusion parameter. Lastly, outcomes are matched with formerly published data to authenticate the present numerical investigation.

To the best of the authors' knowledge, no investigation has been reported yet that explains the entropic behavior with activation energy in the flowing of hyperbolic-tangent mixed-convective nanomaterial due to a vertical slendering surface.

This study aims to offer a hybrid stand-alone system for electric vehicle (EV) charging stations (CS), an emerging power scheme due to the availability of renewable and environment-friendly energy sources. This paper presents the analysis of a photovoltaic (PV) with an adaptive neuro-fuzzy inference system (ANFIS) algorithm, solid oxide fuel cell (SOFC) and a battery storage scheme incorporated for EV CS in a stand-alone mode. In previous studies, either the hydrogen fuel of SOFC or the irradiance is controlled using artificial neural network. These parameters are not controlled simultaneously using an ANFIS-based approach. The ANFIS-based stand-alone hybrid system controlling both the fuel flow of SOFC and the irradiance of PV is discussed in this paper.

The ANFIS algorithm provides an efficient estimation of maximum power (MP) to the nonlinear voltage–current characteristics of a PV, integrated with a direct current–direct current (DC–DC) converter to boost output voltage up to 400 V. The issue of fuel starvation in SOFC due to load transients is also mitigated using an ANFIS-based fuel flow regulator, which robustly provides fuel, i.e. hydrogen per necessity. Furthermore, to ensure uninterrupted power to the CS, PV is integrated with a SOFC array, and a battery storage bank is used as a backup in the current scenario. A power management system efficiently shares power among the aforesaid sources.

A comprehensive simulation test bed for a stand-alone power system (PV cells and SOFC) is developed in MATLAB/Simulink. The adaptability and robustness of the proposed control paradigm are investigated through simulation results in a stand-alone hybrid power system test bed.

The simulation results confirm the effectiveness of the ANFIS algorithm in a stand-alone hybrid power system scheme.

Aging is a complex and multifactorial process. This study aims to is focus on mattering in older people. Mattering is the feeling of being important to others in ways that give individuals the sense that they are valued and other people care about them. However, for many, aging brings about the loss of self-esteem, and they feel useless, deprived and unwanted. The authors have adopted the partial least square structural equation modeling technique and Self-Esteem Scale of Rosenberg for evaluating the level of self-esteem in senior citizens of Pakistan. The results reveal a strong association between the predictor and the criterion variables, supporting the view that the communal integration construct is the strongest determinant in old age. Based on the results, the authors can argue that socioeconomic status, social relationships and daily activities and have a direct association with the elderly people’s self-esteem.

The Self-Esteem Questionnaire by Rosenberg (Rosenberg, 1965) and the Quality of Life Questionnaire by Bowling (Bowling, Banister, Sutton Evans and Windsor (2002) are two tested tools that were used to collect the sample data from various neighborhoods of Peshawar. The sample consisted of respondents who were 60 years of age or older. The current study only included men who were 60 years of age or older because men make up a higher number of retirees in the district (84%) than do women. A total of 312 male volunteers, representing a various cadre of job, were recruited at random. The research population’s data were gathered through convenience sampling. Only volunteers who appeared to be healthy in both body and mind were chosen as participants. When older people were unable to complete questionnaires, researchers helped them read the questions and then helped them write down their answers. Out of the 500 survey forms that were sent, 312 were properly completed and used for the analysis.

The results of this study suggest that the happiness and well-being of retired seniors are not only influenced by their general activities, health and socioeconomic status but also more strongly by their psycho-social integration, such as their close and intimate relationships with friends, family and relatives. The findings, therefore, urge the incorporation of social integration aspects in mental health treatment programs and public health policies to support the psycho-social well-being of the elderly. Social relationship variables might become a common aspect of practice through medical, psychiatric and psychological screening and examination.

Due to the fact that research participants were selected from just one city – Peshawar – the results cannot be generalized. As a result, findings are less likely to apply to older persons who reside in other provinces due to sample selection. Future research will be conducted all around the nation, though, and it could produce more precise and broadly applicable findings. Only male respondents applied to the second limitation. Only male participants were sought due to socioeconomic differences, social and cultural obstacles and the small number of female retirees. Therefore, it limits the spectrum of the study.

An individual’s self-esteem is made up of intrapersonal and interpersonal elements. Regarding policy intervention, the present effort will be a crucial step in helping the elderly understand the value of maintaining social networks and will encourage them to maintain close relationships with family and friends to safeguard their well-being in later life. On the other side, this research will help academics, politicians and thinkers better comprehend aging, perspectives of conduct and psychological and emotional viewpoints. One of the most important aspects of life that affects how old people feel about themselves is the support from social networks. Therefore, through raising awareness and fostering a favorable environment for the welfare and self-worth of senior individuals, politicians and society are expected to care for enriching the lives of the elderly. By highlighting the importance of communal support from a multidimensional aspect of a person, this study offers a wider perspective on self-esteem. With this in mind, the authors advise academics to adopt a fresh perspective on interpersonal mechanisms that ultimately aim to improve self-esteem and social support. Social support is a key factor in fostering or inhibiting self-esteem in the elderly and is a strong predictor of mental health. A society must take action to boost older people’s communal integration to improve their quality of life.

This study makes the case for a broader perspective on self-respect or esteem by suggesting that self-esteem may be seen in a broader context rather than in terms of limited characteristics. The authors offer an integrated model of self-esteem that conceptualizes it as an interpersonal phenomenon influenced by multiple vital aspects using various metrics of old age. Self-esteem was envisioned as the result of a number of factors, including social position, activities and interpersonal interaction “relationships with relatives, family, and friends.” The authors’ conceptual framework’s goal is to comprehend the different ways that senior citizens’ lives affect their sense of self-worth.

The purpose of this paper is to advance knowledge of the transformative potential of big data on city-based transport models. The central question guiding this paper is: how could big data transform smart city transport operations? In answering this question the authors present initial results from a Markov study. However the authors also suggest caution in the transformation potential of big data and highlight the risks of city and organizational adoption. A theoretical framework is presented together with an associated scenario which guides the development of a Markov model.

A model with several scenarios is developed to explore a theoretical framework focussed on matching the transport demands (of people and freight mobility) with city transport service provision using big data. This model was designed to illustrate how sharing transport load (and capacity) in a smart city can improve efficiencies in meeting demand for city services.

This modelling study is an initial preliminary stage of the investigation in how big data could be used to redefine and enable new operational models. The study provides new understanding about load sharing and optimization in a smart city context. Basically the authors demonstrate how big data could be used to improve transport efficiency and lower externalities in a smart city. Further how improvement could take place by having a car free city environment, autonomous vehicles and shared resource capacity among providers.

The research relied on a Markov model and the numerical solution of its steady state probabilities vector to illustrate the transformation of transport operations management (OM) in the future city context. More in depth analysis and more discrete modelling are clearly needed to assist in the implementation of big data initiatives and facilitate new innovations in OM. The work complements and extends that of Setia and Patel (2013), who theoretically link together information system design to operation absorptive capacity capabilities.

The study implies that transport operations would actually need to be re-organized so as to deal with lowering CO₂ footprint. The logistic aspects could be seen as a move from individual firms optimizing their own transportation supply to a shared collaborative load and resourced system. Such ideas are radical changes driven by, or leading to more decentralized rather than having centralized transport solutions (Caplice, 2013).

The growth of cities and urban areas in the twenty-first century has put more pressure on resources and conditions of urban life. This paper is an initial first step in building theory, knowledge and critical understanding of the social implications being posed by the growth in cities and the role that big data and smart cities could play in developing a resilient and sustainable transport city system.

Despite the importance of OM to big data implementation, for both practitioners and researchers, we have yet to see a systematic analysis of its implementation and its absorptive capacity contribution to building capabilities, at either city system or organizational levels. As such the Markov model makes a preliminary contribution to the literature integrating big data capabilities with OM capabilities and the resulting improvements in system absorptive capacity.

This study investigates the nexus of top management commitment and institutional pressures towards enhancing sustainable energy consumption in African Higher Institutions of Learning.

Using a structured questionnaire survey, cross-sectional data collected from 64 higher institutions of learning registered with the Uganda National Council for Higher Education were analyzed using the Statistical Package for Social Sciences (SPSS).

The findings revealed that top management commitment and institutional pressures individually associate with sustainable energy consumption. Top management commitment does not cause variations in sustainable energy consumption. However, when top management commitment coalesces with institutional pressures, they significantly predict sustainable energy consumption.

The current study focuses on Higher Institutions of Learning in Uganda. Hence caution should be taken before generalization of findings. This study therefore sets ground for future studies to investigate sustainable energy consumption in other institutions.

This study tests the efficacy of top management commitment and institutional pressures on sustainable energy consumption using evidence from African Higher Institutions of Learning. It provides new directions for study in such a nascent area of critical national dimension as sustainability and climate change issues top the global agenda.

Entrepreneurship and Strategic Management.

This case is intended for teaching entrepreneurship and strategic management courses at the undergraduate and graduate levels.

This is a field-researched real case about a growing food business started by local entrepreneurs in Abu Dhabi, UAE. Slices, a UAE-based organic food pioneer company is becoming popular in the UAE nowadays. The company was poised for growth as demand was exceeding all expectations. There were many challenges Slices had to face: increasing demand and brand awareness of Western Fast Food Giants; and what future skills Slices needed to develop to meet the regional and global challenges. Slices specializes in organic food, and they came up with different varieties in their menu every day. This, in turn, expanded the outlet greatly and they gained high revenues in a short period of time. Based on resource-based theory, Slices entrepreneurs have developed their business which is unique in terms of food with a flare of community service that involves offering healthy food to the customers and also a philanthropic attitude toward the poor. Slices is novel not only because they have more or better resources but also because of their distinctive competences (unique healthy food, community service and philanthropic attitude). Slices adopted a simple concept in which they sell their healthy food in a healthy atmosphere with delicious recipes that appeal to many different nationalities. But the challenges and hurdles are many which the company has to think of if they want to sustain in the long run. Faisal, Khalid, Hamad and Amina are wondering what their next step ought to be in light of the stiff competition. Do they have the dynamic capability to strategize? Do they have enough resources to expand locally and internationally? If yes, where and how? This case will enable the students to critically think in various facets and reach a decision based on the facts provided.

The case will help the students identify and evaluate the entrepreneurial strategy adopted by the company for start-up and future growth. This will also enable the students to critically think in various facets and reach a decision based on the facts provided.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

This study aims to identify and prioritize Green human resource management (GHRM) practices from the policymaker’s perspective in the United Arab Emirates (UAE)-based manufacturing and service sectors to facilitate sustainable environmental performance.

Drawing upon the ability–motivation–opportunity (AMO) and corporate environmentalism theory, this study uses the analytic hierarchy process (AHP), a multi-criteria decision-making model, to rank the most influential enablers of GHRM practices. Data were collected from 24 C-suite executives of UAE-based manufacturing and service units.

Top management orientation for Green, Green organizational culture and Green corporate strategic planning were the most critical enablers that promote GHRM practices in the UAE’s manufacturing and service firms. Past research has mostly overlooked the strategic variables and focused only on organizational level antecedents based on HR bundles of practices.

Data were collected only from UAE firms, hence limiting its generalizability. The study shall help organizations operating in emerging countries adopt the best GHRM practices toward Green goal agendas.

This research provides an AHP framework that can be used to conceptualize and prioritize GHRM practices, which aids in a firm’s Green decision-making and transition toward sustainable Green growth. This study furthers understanding of GHRM practices play out at the various levels-of-analysis within organizations to present a comprehensive paucity of integrative and multi-level studies over recent years. The study may be relevant for other organizations in other national contexts with similar governance homogeneity.

This study examines the impact of climate change vulnerability, fintech and investor sentiment on bank performance in the MENA region.

The two-step Generalized Method of Moments (GMM) estimator was employed to investigate 166 listed banks in the Middle East and North Africa (MENA) region, covering the last decade.

The study revealed mixed findings about climate change vulnerability. The study identified that factors such as capacity, habitat, infrastructure, sensitivity and vulnerability had a beneficial impact on the banks' buy and hold stock returns in the MENA area. Nevertheless, it was demonstrated that exposure, ecosystems, food, health, and vulnerability had an inverse impact on these returns. Remarkably, the fintech index negatively affects the long-term stock performance of banks in the MENA region.

Policymakers should focus on enhancing infrastructure and boosting banks’ capacity to manage and adapt to climate-related risks.

The novelty of this study is that it explored the impacts of climate change vulnerability, fintech and investor sentiment on banks’ buy-and-hold stock returns in the MENA region. Notably, this research employs a unique model that has not been previously examined.

Academic research is now moving toward understanding best practices that may be coped up by small and medium-sized enterprises (SMEs) to increase their performance. However, the implementation of CG is not free from cost and other prevalent issues that create hindrances in the implementation of CG practices in SMEs. However, there is a lack of literature related to these issues and costs that may hinder in implementation of effective CG practices. There is also a need to incorporate new theory with the literature of corporate governance to define cost, issues and hindrances in the process of corporate governance of SMEs. Hence, this chapter is written purposively to describe these limiting factors concerning SMEs to increase research and improve policymaking. Therefore, the significance of this study has several folds, and with epistemology as the base of the study, this work is a rare study that tends to improve academia, research and policy-making.