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The purpose of this paper is to present the multi-objective optimization of the dynamic response of isotropic and laminated composite folded plates. The dynamic analysis has been carried out using the finite element method based on the first-order shear deformation theory.

Hamilton’s principle has been employed for the derivation of the governing equations. Natural frequencies are obtained using the eigenvalue extraction method. The optimal combination of the crank angle, lamination scheme and boundary conditions on the natural frequencies of folded plates for their safe and optimal dynamic design has been obtained. The analysis has been carried out using finite element approach based on FSDT to obtain the dynamic equation of single- and double-fold laminated plates. In total, 15 experiments as per Taguchi’s standard L₁₅ orthogonal array have been performed. Further, standard deviation (SD) based TOPSIS method is used to perform multi-response optimization of folded plates in order to rank the combination of the input parameters.

SD integrated with TOPSIS reveals that Experiment No. 8 (crank angle=90° and anti-symmetric lamination scheme=0°/90°/0°/90°), Experiment No. 14 (crank angle=150° and anti-symmetric lamination scheme=0^o/90^o/0^o/90^o), Experiment No. 2 (crank angle=30° and anti-symmetric lamination scheme=0°/90°/0°/90°) and Experiment No. 3 (crank angle=30° and symmetric lamination scheme=0°/90°/0°/90°) occupy rank 1 for one fold, one end clamped, one fold, two ends clamped, two folds, one end clamped and two folds, two ends clamped conditions, respectively, in order to maximize the modal response corresponding to the fundamental mode.

SD-based technique for order of preference by similarity to ideal solution (TOPSIS) method is used to rank the process parameters. The optimum combination of the input parameters on the multi-response optimization of dynamics of the folded plates has also been evaluated using the analysis of mean (ANOM).

Career choices and selections are amongst the most important predictors of a person’s perception of life satisfaction. Pursuing entrepreneurship as a career may arise as a result of psychological adaptation of career choices in addition to societal role specifications. Therefor, this study aims to provide an in-depth understanding of potential predictors which can intervene in the entrepreneurial intentions and its progression for an important group of the society.

Using semi-structured interviews, this qualitative study attempts to illuminate existing and emerging trends, barriers and future orientation of women entrepreneurs in Pakistan. Nvivo 12 was used for thematic analysis to drive specific themes of entrepreneurial regret in Pakistani women entrepreneurs.

The findings revealed multilevel themes influencing women’s choices of entrepreneurship as a career, including intrinsic, extrinsic and interpersonal factors. All of these factors shared the feature of social segregation and socially developed role categorisation. The findings revealed that gender roles and segregation in societies play a significant role in influencing women’s career choices.

Though similar narratives have been presented in previous studies in the context of career selection. This study, on the other hand, makes a unique contribution by identifying relative factors as determinants of regret and counterfactual thinking in Pakistan’s socially constrained culture.

The 17 Sustainable Development Goals (SDGs) of the United Nations (UN) gained attention, particularly SDG 4 which focuses on quality education. Tecnologico de Monterrey, popularly known as TEC, is one of the few elite private universities in Mexico that took significant steps to enhance the quality of education amidst the COVID-19 pandemic, in view of students’ career plans. In this empirical research, an online survey was employed to investigate the mediating role of peers’ feedback on team-based learning (TBL) and career planning skills among university students. The study included 86 students from bachelor’s and master’s programmes. IBM SPSS version 26 and PROCESS Macro v 3.5 were used for the quantitative data analysis. The results confirm that peers’ feedback partially mediates the relationship between TBL and the career planning skills of students. This study provides recommendations to university authorities to develop educational policies in-line with SDG 4, thoroughly revise course curricula of the degree programmes offered, and include online learning activities for solving problems in the current world scenario.

The purpose of this paper is to examine the challenges faced by the hospitality industries in developing an Islamic hospitality identity and indigenous styles of management, particularly in the context of the United Arab Emirates (UAE) – especially Dubai. It also aims to identify and comprehend the socio‐cultural implications of Islamic hospitality in terms of products and marketing.

This conceptual‐based paper critically reviews and amalgamates a diverse range of literature concerning Islamic hospitality (and tourism), Arab management and leadership qualities, human capital and nationalization of employment, industry skills and educational directives in hospitality and destination and product strategies.

The work critically accounts for the changing nature of skills needed by localised hospitality managers and the industry in general, especially to keep pace with dynamic customer demands and an increasingly sophisticated market and consumer. The outcome of the paper concerns the operationalisation of soft skills and managerial expertise attuned to ethnic and religious attributes of the host society. The evaluations propose ways in which the education sector can extend the career development and progression pathways for UAE nationals. The work also indicates how product development, innovation, transformation and marketing have a crucial role to play in advancing an Islamic and cultural approach to hospitality.

This paper uniquely concerns an under‐developed area of academic study: the role Islamic‐based principles and practices of hospitality and ways in which they can be developed through an indigenous‐led workforce, and Islamic and Arab styles of management, leadership and service sector operation.

This paper aims to discover and analyze the challenges hampering blockchain technology’s (BT’s) implementation in the Indian health-care sector. A total of 18 challenges have been prioritized and modeled based on an extensive literature search and professional views.

An integrated multi-criteria decision-making approach has been used in two phases. Best worst method (BWM) is used in the first phase to prioritize the challenges with sensitivity analysis to validate the findings and eliminate a few challenges. In the second phase, interpretive structural modeling is applied to the remaining 15 challenges to obtain relative relationships among them with cross-impact matrix multiplication applied to classification analysis for their categorization.

The study’s results reveal that limited knowledge and expertise, cost and risk involved, technical issues, lack of clear regulations, resistance to change and lack of top management support are the top-ranked or high-intensity challenges according to the BWM. Interpretive structural modelling findings suggest that the lack of government initiatives has been driving other challenges with the highest driving power.

This work has been conducted in the Indian context, so careful generalization of the results is needed.

This work will give health-care stakeholders a better perspective regarding blockchain’s adoption. It will help health-care stakeholders, service providers, researchers and policymakers get a glimpse of the strategies for eradicating mentioned challenges. The analysis will help reduce the challenges’ impact on blockchain’s adoption in the Indian health-care sector.

The adoption of BT is a novel concept, especially in developing countries such as India. This is one of the few works addressing the challenges to BT adoption in the Indian health-care sector.

This paper aims to provide a helpful tool for those who plan to implement blockchain-based solutions for the governance of the electronic medical record (EMR) in health-care settings. The goals are to identify each type of stakeholders involved in these projects and to clarify the relevance, to achieve success, of their readiness, intended as availability and ability to adopt blockchain.

The chosen methodology is a multiple case study on three initiatives that used blockchain to manage EMRs. This study relied on multiple sources of evidence. The primary data consisted of two rounds of semi-structured interviews with different informants. This study followed a grounded theory approach and performed within- and cross-case analyses.

This study identified the types of stakeholders – nodes and not-nodes – of the network and how their readiness level affects the implementation of blockchain-based projects applied to EMR. The nodes (e.g. patients and doctors) are pivotal in making the network working once this has been constructed. Out of the four readiness dimensions suggested by literature, motivational readiness, has the higher impact. Not-nodes stakeholders play a pivotal role in the project’s pre-implementation phase. For them, structural readiness is the dimension with the higher relevance.

To the best of the authors’ knowledge, it is the first time that a paper analyses the differences between nodes and not-nodes stakeholders of the blockchain network, in terms not only of type but also of readiness. Identifying the readiness level to implement successful projects is a fundamental step that has never been analysed in the health field.

This study aims to identify several perspectives that affect the adoption of blockchain technology in India (BCTA) and evaluate their impact. To study the sector’s influence on adoption and the impact of BCTA on the performance of the Indian healthcare supply chain (HSCP) using BCTA as a mediating variable.

In this study, we first developed a conceptual model based on Organizational Information Processing Theory and Technology-Organization-Environment, then formulated hypotheses. Based on this, a questionnaire was developed, and data were gathered from experts in the Indian healthcare industry who were familiar with blockchain technology. AMOS 19 was used to analyze data using structural equation modelling.

All the factors have a significant positive influence on BCTA. Healthcare supply chain factors influenced the adoption most dominantly, followed by technological, environmental, organizational and record-keeping unit factors. Both the public and private sectors of HSCP benefited significantly from BCTA.

This research work is fruitful for healthcare practitioners, top management, academicians and policymakers in assessing BCTA’s impact on the HSCP.

We have attempted to evaluate the possible BCTA impact on HSCP. BCTA as a mediating variable and considering different perspectives for a holistic view of adoption in the Indian context add to this work’s originality.

This study aims to explore the pandemic's opportunities for enhancing the environmental practices of the food and beverages green supply chains and its effect on the supply chains' viability by exploring the relationship between fear and uncertainty of COVID-19, food and beverages green supply chain management (F&B-GSCM) and supply chains’ viability based on the two dimensions (robustness and resilience) and examine the moderating effect of innovative technology adoption like big data analysis (BDA) capabilities and blockchain technologies (BCT) on this relationship.

This study adopted partial least squares structural equation modeling (PLS-SEM) on a sample of 362 F&B small and medium enterprises (SMEs)’ managers in the Egyptian market for data analysis and hypothesis testing.

The empirical results show that the fear and uncertainty of the pandemic have a significant positive effect on green supply chain management (GSCM). Also, BDA moderates the relationship between fear and uncertainty of COVID-19 and GSCM. However, BCT do not moderate that relationship. Similarly, GSCM positively affects supply chain viability dimensions (robustness and resilience). In addition, F&B-GSCM significantly mediates the relationship between fear and uncertainty of COVID-19 and supply chain viability dimensions (robustness and resilience).

Food and beverages (F&B) managers could develop a consistent strategy for applying BCT and BDA to provide clear information and focus on their procedures to meet their stakeholders' needs during COVID-19. Governments and managers should develop a consistent strategy to apply food and beverages supply chains (F&B SCs)' green practices to achieve F&B SCs' resilience and robustness, especially during the pandemic.

The Egyptian F&B SCs have been linked directly with many European countries as a main source of many basic food and agriculture products, which have been affected lately by the pandemic. Based on the “social-cognitive,” “stakeholder” and “resource-based view” theories, this study sheds light on the optimistic side of the COVID-19 pandemic, as it also brings the concepts of F&B-GSCM, SC resilience, SC robustness and innovative technologies back into the light, which helps in solving F&B SC issues and helps to achieve their viability.