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Mainland Tanzania has seen two decades of significant social policy reforms and transformations in its social and economic structures, whilst the country continues to grapple with persisting gender inequalities. This article examines Tanzania's social policy developments from a gender perspective. The authors analyse the level, reach and quality of social policy delivery to working-age women across the areas of health policy, social protection and employment policy during 2000–2021.

The article draws on qualitative research deploying the scoping review method. The data consist of diverse secondary materials, including academic publications, government policy documents, relevant statistics and other types of “grey” literature.

Tanzania has made significant advancements in the legal frameworks around welfare provision and has instituted increasingly gender-responsive government policy plans. The health and social protection sectors, in particular, have witnessed the introduction of large-scale measures expanding social policy implementation. However, social policy delivery remains two-tiered, with differences in provisions for women in the formal and informal sectors.

Social policy delivery and implementation have increased and diversified in Sub-Saharan Africa (SSA) during the new millennium, with a growing integration of gender-specific policy objectives. However, limited social policy scholarship has focused on the gendered effects of broader social policy models in SSA. The article remedies the concomitant knowledge gaps by examining various social policies and their impacts on working-age women in Mainland Tanzania. The authors also engage with the theoretical welfare regime literature and present an analytical framework for gender-sensitive assessment of emerging social policy models in the Global South.

With so many placement opportunities around the students in their final or prefinal year, they start to feel the strain of the season. The students feel the need to be aware of their position and how to increase their chances of being hired. Hence, a system to guide their career is one of the needs of the day.

The job role prediction system utilizes machine learning techniques such as Naïve Bayes, K-Nearest Neighbor, Support Vector machines (SVM) and Artificial Neural Networks (ANN) to suggest a student’s job role based on their academic performance and course outcomes (CO), out of which ANN performs better. The system uses the Mepco Schlenk Engineering College curriculum, placement and students’ Assessment data sets, in which the CO and syllabus are used to determine the skills that the student has gained from their courses. The necessary skills for a job position are then extracted from the job advertisements. The system compares the student’s skills with the required skills for the job role based on the placement prediction result.

The system predicts placement possibilities with an accuracy of 93.33 and 98% precision. Also, the skill analysis for students gives the students information about their skill-set strengths and weaknesses.

For skill-set analysis, only the direct assessment of the students is considered. Indirect assessment shall also be considered for future scope.

The model is adaptable and flexible (customizable) to any type of academic institute or universities.

The research will be very much useful for the students community to bridge the gap between the academic and industrial needs.

Several works are done for career guidance for the students. However, these career guidance methodologies are designed only using the curriculum and students’ basic personal information. The proposed system will consider the students’ academic performance through direct assessment, along with their curriculum and basic personal information.

The United Nations Convention on the Rights of Persons with Disabilities (2006) recognizes the right of disabled people to access work. Against this legislative backdrop, this study explores the strengths and weaknesses of the Italian system of targeted placement for disabled people, based on Law 68/1999, which delegates to regional authorities the management of the labor market. The examination centers on the perspective of companies, the primary stakeholders in the inclusion of persons with disabilities within organizational structures.

The article discusses the results of focus groups conducted with 28 managers of large, medium and small enterprises in Lombardy (Italy). Qualitative analysis was employed, and the results were structured using a simplified strengths, weaknesses, opportunities and threats (SWOT) analysis, incorporating practical recommendations.

The analysis leads to practical suggestions to improve the entire targeted placement process at the regional level, from selection and accompaniment to evaluation, such as improving the networking of local stakeholders who deal with the inclusion of disabled people, homogeneity of the procedures in different regions, making all employees aware of diversity management, etc. The territorial network and the welfare environment are particularly important in achieving a successful targeted placement and to promote an inclusive corporate culture.

This study is not representative of Italy as a whole, as it remains a qualitative investigation focused on a single region.

This contribution accomplishes an in-depth study of the law of labor inclusion of people with disabilities observed from the point of view of companies, which are still usually reluctant to integrate people with disabilities into their organizations or encounter difficulties in doing so.

Introduction: The Udaan Scheme was implemented in response to enduring conflict, economic downturn, and employment scarcity. Under the Rangarajan Committee, the scheme aimed to address unemployment in a selected region through skill development programmes. Based on practical experience, Udaan aimed to build a competitive workforce for India and the global economy.

Purpose: The purpose of the study is to evaluate the success ratio of the Udaan Scheme in addressing the employment challenges faced by the youth.

Need of the study: The chapter highlights the potential of the scheme to be a part of a resilient industry for job employability in politically disturbed areas.

Methodology: The compiled data were analysed using a spreadsheet collected from online sources, providing information on the number of registrations for the skill development programme between March 2012 and May 2018, that is, the programme’s implementation in the pre-UT era, mainly sourced from the Udaan Impact Assessment Report and the Review of the Udaan Scheme in Jammu and Kashmir (J&K).

Findings: The programme, which provided professional training and increased the job-securing capacity of youth, has had a dismal success rate despite the government’s investment of Rs 246 crore. The initiative has employed less than 10,000 individuals, or at most 10% of the target population, falling short of its claimed goals.

Significance of the study in the global market: The scheme addresses unemployment and career development for educated youth, enhancing India’s economic growth and global competitiveness. By providing skill development and exposure to the corporate sector, it empowers youth and attracts international business opportunities. It aligns with global efforts to bridge the skills gap and showcases India’s commitment to human capital development in a conflict-driven state.

Cloud computing services gained huge attention in recent years and many organizations started moving their business data traditional server to the cloud storage providers. However, increased data storage introduces challenges like inefficient usage of resources in the cloud storage, in order to meet the demands of users and maintain the service level agreement with the clients, the cloud server has to allocate the physical machine to the virtual machines as requested, but the random resource allocations procedures lead to inefficient utilization of resources.

This thesis focuses on resource allocation for reasonable utilization of resources. The overall framework comprises of cloudlets, broker, cloud information system, virtual machines, virtual machine manager, and data center. Existing first fit and best fit algorithms consider the minimization of the number of bins but do not consider leftover bins.

The proposed algorithm effectively utilizes the resources compared to first, best and worst fit algorithms. The effect of this utilization efficiency can be seen in metrics where central processing unit (CPU), bandwidth (BW), random access memory (RAM) and power consumption outperformed very well than other algorithms by saving 15 kHz of CPU, 92.6kbps of BW, 6GB of RAM and saved 3kW of power compared to first and best fit algorithms.

The proposed multi-objective bin packing algorithm is better for packing VMs on physical servers in order to better utilize different parameters such as memory availability, CPU speed, power and bandwidth availability in the physical machine.

The purpose of this study is to examine the moderating effect of the reflective practice of business students on how it helps to develop their employability skills through various university strategies.

The study employed a simple random sample to select undergraduate level 400 students from the Universities under study (the University of Ghana, University of Professional Studies Ghana, Lancaster University Ghana and Webster University Ghana). Only final-year students with an informed judgement on the reflective practice and various institutional practices to acquire graduate employability skills were participated. The independent variables of the study are institutional strategies (curriculum design, extra curriculum, work-integrated learning, career development centre, university collaboration with the industry, student engagement, internship job placement), the moderator is the reflective practice and the dependent variable of the study is graduate employability.

The study found that the moderation role of reflective practice had a significant effect on institutional strategies (extracurriculum, career development centre, university collaboration with the industry, student engagement and internship job placement) and graduate employability.

The study was limited to only undergraduate business students from four universities ignoring other disciplines and postgraduate students.

The practical implication is that reflective practice must be an integral tool for various universities if they want students to use their strategies to sharpen their employability skills.

The social implications of the study emphasise the reflective practice of graduate students in universities. This implies that firms and other institutions must consider reflective practice for the maximum output of their employees.

The concept of employability is a bit complex as it concerns many stakeholders of the educational process; the students, academic staff, employers, policymakers and higher education; the private sector; and the government. Although examining students' employability development skills is of great importance, students' reflective practice tends to be overlooked in most studies. Therefore, the focus of this study examines how the reflective practice of graduate students promotes employability through the various university strategies, which had not been considered.

With changing employment conditions, technological advancement, frequent manpower reduction and global competition, the relevance of the protean and boundaryless career concepts is increasing. With this, the country’s culture plays a pivotal role in career choice. The purpose of this paper is to develop and validate protean and boundaryless career scales for college passing out students and in the Indian context. The protean career scale was measured by self-directed and values-driven dimensions, while the boundaryless career scale was measured by boundaryless mindset and organizational mobility preference.

The first step involved defining construct and determining face validity. The data collected via questionnaire from India’s final year engineering students were subjected to exploratory factor analysis and confirmatory factor analysis in the second and third steps, respectively. Finally, the nomological validity was tested by establishing the relationship between factors influencing career choice and newly developed protean and boundaryless career.

The result suggested using a two-factor model with a protean career (combining self-directed and values-driven items) and a boundaryless career as a separate construct for college passing out students.

The developed scale has nine items that can be used to conduct surveys at the time of campus hiring by academic scholars, HR managers, and practitioners who are working on the identification, development and management of human talent as a part of any human resource management system.

To the best of the authors’ knowledge, this is the first approach to developing the protean and boundaryless career scale for college passing out students and in the Indian context which can be replicable for South Asian countries.

The purpose of the study is to identify the soft skills and abilities that are crucial to success in the fields of operations management (OM) and supply chain management (SCM), using the O*NET database and the classification of a set of professional figures integrating values for task skills and abilities needed to operate successfully in these professions.

The study used the O*NET database to identify the soft skills and abilities required for success in OM and SCM industries. Correlation analysis was conducted to determine the tasks required for the job roles and their characteristics in terms of abilities and soft skills. ANOVA analysis was used to validate the findings. The study aims to help companies define specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the job position.

As a result of the work, a set of soft skills and abilities was defined that allow, through correlation analysis, to explain a large number of activities required to work in the operations and SCM (OSCM) environment.

The work is inherently affected by the database used for the professional figures mapped and the scores that are attributed within O*NET to the analyzed elements.

The information resulting from this study can help companies develop specific assessments and tests for the roles of OM and SCM to measure individual attitudes and correlate them with the requirements of the job position. The study aims to address the need to identify soft skills in the human sphere and determine which of them have the most significant impact on the OM and SCM professions.

The originality of this study lies in its approach to identify the set of soft skills and abilities that determine success in the OM and SCM industries. The study used the O*NET database to correlate the tasks required for specific job roles with their corresponding soft skills and abilities. Furthermore, the study used ANOVA analysis to validate the findings in other sectors mapped by the same database. The identified soft skills and abilities can help companies develop specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the requirements of the job position. In addressing the necessity for enhanced clarity in the domain of human factor, this study contributes to identifying key success factors. Subsequent research can further investigate their practical application within companies to formulate targeted growth strategies and make appropriate resource selections for vacant positions.

There is a global concern about the effectiveness of vocational education and training (VET) programmes in developing job-related skills and competencies for real-world environments for disadvantaged and unemployed youths. Experiential learning (EL) is a major component of VET programmes. This article aims to examine the effects of facilitating VET through EL theory to promote youths' skills acquisition. The study looks at the effects of material resources on the use of experiential learning theory (ELT), the types of EL and the contribution of ELT to VET programmes.

The research design mainly entails a qualitative research design and research method to allow the researcher to view the reality as is experienced from the inside out by the trainees and training centre managers on important data for a thorough understanding. The study participants were 512 young trainees who completed different training courses from the VET programmes and 24 centre managers in the KwaZulu-Natal province of South Africa.

The findings reveal that the use of ELT in VET programmes helped the trainees to gain real-world skills, hence contributing to their empowerment in terms of work experience and competence for their future employment. Based on the findings, the study concludes that ELT is an effective instrument to promote VET programmes for disadvantaged and unemployed youths.

The practical and social implications of the findings are that, while disadvantaged youths cannot access and afford higher education, public and private sectors can remedy their situation by providing non-school-based technical and vocational training to help such youths enter the labour market. The findings will motivate the providers of skills development for unemployed youths to use ELT in designing course curricula, planning resources and directing teaching-learning approaches to help trainees to acquire skills and competencies to perform tasks close to real-work situations.

The socio-economic implication of the article is that skills development plays an important role in poverty reduction. Investing in the skills development of citizens is vital to raise the incomes of poor groups and to reduce poverty (ILO, 2018). Although the causes of unemployment have also to do with economic factors in a country, skills development is an essential ingredient in developing capacities for labour market entry and increased income generation of a vulnerable group of people.

The article is significant because the study provides new insights into the use of ELT in VET programmes to improve their effectiveness in developing job-related skills and competencies for real-world environments for disadvantaged and unemployed youths. The study contributes to the body of knowledge by establishing a solid base for the evidence-informed practice of the effects of facilitating the VET programme through ELT to promote skills acquisition for the employment of unemployed and disadvantaged youths.

The purpose of this study is to investigate the differences between labour market requirements in the United Arab Emirates (UAE) in the 21st century and university graduates’ level of knowledge, skills and aspects of competence (KSAs) qualification benchmark.

The study used a discourse analysis methodology, which is a qualitative and interpretive method of analysing texts. The content for the analysis was extracted from Scopus, Ebscohost, Proquest, Google Scholar, Web of Science, news, publications, thesis papers, dissertations and other research papers. A narrative approach for analysing the content was adopted.

The findings reveal that new graduates often encounter difficulties in searching for jobs due to a lack of awareness of how to conduct an employment search that best aligns their KSA with the requirements and needs of the labour market. The study concludes that to increase the employability of graduates, higher education institutions should reduce the KSAs gap by collaborating with the private sector and providing students with relevant, industry-based job experience before graduation.

This study investigates the gap between graduate KSAs and labour market requirements in the 21st-century UAE. The findings of the study encapsulate the weaknesses and shortcomings of the current educational systems amid the reform agenda in the UAE. It also deliberates upon the state-of-the-art recommendations regarding making the country a knowledge-based economy and society.