Conceptual Machine Learning Framework for Performance-Based Resource Allocation to the Institutions: A Hybrid Approach

Purpose The purpose of this paper is to understand the factors that determine the knowledge exchange intention and behavioural nature of academics by the help of social media tools in the Indian higher education. Design/methodology/approach This study has used valance–instrumentality–expectancy (VIE) theory to determine the knowledge exchange behaviour of academics. The study has considered the effects of knowledge contributor (KC) and knowledge seeker (KS) as moderators. The model has been validated by using a survey with 320 usable respondents. Findings The results highlight that if the stakeholders of higher education institutions feel the deficits of knowledge exchange, they realize importance of knowledge sharing and use social media to increase effect of knowledge exchange. Besides, perceived usefulness impacts on the use of social media for knowledge exchange by the concerned stakeholders. Moreover, it is observed that experience of the use of social media impacts the use of this tool for knowledge exchange. Research limitations/implications The use and application of VIE theory have successfully been able to interpret the factors affecting use of social media for knowledge exchange in higher educational institutes. The use of VIE theory has also been able to explain the proposed model better as the model could achieve a high explanative power (87%). Practical implications This study has provided meaningful insights to the practitioners and policymakers to realize how the stakeholders of the higher education institutions in India can be motivated to feel the need of sharing of knowledge and how they can use social media with ease for this purpose. Originality/value Not much research has been conducted with regard to the usage of social media as a tool for knowledge sharing in higher education sector in India. In that sense, this study is a novel attempt to undertake such research.

Higher education of India has the third largest higher education sector in the worldwide. In India expenditure per student as well as per teacher is very low .In the last ten years, higher education sector has improved as more IITs, IIMs and various central and state-level universities begin. Advancement of higher education various concerns raised. Various universities suffer from an insufficiency of good-quality of teaching staff and laboratories.

Leadership qualities are influenced by various perspectives and viewpoints, including the Great Man Theory and various academic disciplines. The desire for self-assertion and self-accomplishment is a common thread in the evolution of leadership qualities. India's feminist movement, initiated by men and later joined by women, fought against oppressive societal rules and discrimination. The women's movement began as a social reform movement in the 19th century, with women advocating for women's rights and education. However, efforts to improve women's status were thwarted by nationalist movements. The Women's India Association, National Council of Women in India, and All India Women's Conference were formed by women between 1917 and 1927 after World War I. Today, women's presence in the top-notch hierarchy and leadership is less, with women being considered “empowered women” if they can make financial decisions without consulting their husband. The research aims to understand lagging factors in the overall higher education sector in India.

India's higher education system is one of the world's largest in terms of the student population. The Higher Education sector in India has witnessed a tremendous increase in the number of Universities/University level Institutions & College’s post-independence. However, there are issues that are hindering the system to be qualified as a top-notch globally. This paper examines the perception of Higher Education in India among college students with an aim to examine the extent of disparity in the system, to understand the required standard of higher education and to recommend changes that may arise in the process associated for improvement of higher education in India. The study was undertaken with an online survey by collecting data from different researcher scholars and postgraduate students with different specialisation, gender and age groups enrolled in the university. The findings from the study demonstrate the subjective interpretation of higher education from the narrative of the participants.

This article takes a critical look at the higher education sector in India. It notes that even though the number of institutions and enrollment in higher education continue their rapid growth (in excess of population growth), the quality of this education outside of a handful of institutions is questionable. The number of such graduates remains small relative to the population and demands of India's economy. In general, graduate education continues to remain in an alarming state with respect to both quality and quantity. India's impressive economic performance has made the problem in higher education seem less urgent than it actually is. The article discusses several of the challenges facing higher education: the system's inability to attract the best of the best to lives of teaching and scholarship, the separation of education and research, and a short-term profit motive by private education providers, among others.

The present study aims to understand the concept of Industry 5.0 in the higher education sector and its role in transforming distance education in India. An exploratory research design is used to understand and outline the concept of Education 5.0 and its associated benefits for higher education institutions (HEIs). An extensive literature review was carried out to collect the data from the available research papers, reports, and articles in the field of Industry 5.0 and HEIs. The data were then analyzed to explore the avenues of Industry 5.0 implementation in the distance education sector in India. The findings of this study suggest that the incorporation of advanced technology in the traditional distance learning model is urgently required which will enable the HEIs to develop a blended or hybrid learning model. The study also outlines the key features and concerns that every distance education institution may have about Industry 5.0. In addition, the benefits of Industry 5.0 in distance education in India are also discussed in this study.

This study aims to analyze the effect of enabling control systems and coercive control systems on higher education institutions (HEI) performance with knowledge sharing as a mediating variable. The research was conducted on 384 respondents from the academic community in various HEI. The analysis method used was Partial Least Square (PLS) with the help of SmartPLS 4 software. The results showed that both enabling control systems and coercive control systems had a positive and significant effect on HEI performance. In addition, both types of control systems were also found to have a positive effect on knowledge sharing. Other findings show that knowledge sharing has a significant positive effect on HEI performance and is able to mediate the relationship between control systems and institutional performance. Theoretically, this study reinforces the Resource-Based View (RBV) concept by emphasizing the important role of knowledge-based capabilities as strategic resources. Practically, the results of this study have implications for HEI managers to balance the application of control systems that are supportive and demand compliance, as well as encourage a culture of knowledge sharing to improve the quality and competitiveness of the institution

Purpose: Sustained volatility has worse affected, again, the already, noteworthy decline in the financial performance of Libya’s higher education system since the year 2011. Hence, the purpose of this paper is to develop a conceptual frame work that would help in understanding the factors that affects the financial position of Libyan university. Design/Methodology/Approach: The intended study will adopt a quantitative research approach and data collection tool for the study will be through a questionnaire survey. The participants of the sample will be the people occupying the positions of directors of the Office of Administrative and Financial Affairs, chiefs and senior managers of financial departments, accountants, auditors, and other officials engaged in financial administration. All the information collected from the survey shall be tested by structural equation modeling (SEM) in the AMOS program. Findings: This study significantly advances our understanding of how organizational culture, knowledge management, and intellectual capital impact the financial performance of higher education institutions in Libya. The findings provide actionable insights and tools for financial stakeholders, policymakers, and decision-makers to enhance financial performance within these institutions effectively. Implications/Originality/Value: This study aims to address the existing gaps in the present literature on organizational culture, knowledge management, intellectual capital, and their influence on financial performance in higher education. The study's results will have practical ramifications for financial professionals, regulators, and stakeholders, providing useful insights and methods to improve the financial performance of Libyan higher education institutions

This study aimed to explore the employment status of women in the higher educational sector and to uphold women’s productivity and commitment in executive positions of responsibility. Management tended to show preferential treatment for men in top management positions; hence, women were less engaged in the decision-making process. Women possess the potential to be transformative leaders in higher education institutions (HEI). The research purpose of this study was to speculate that some Lebanese educational institutions still practice discrimination and prefer men over women in executive positions, as well as to show that excellence in educational institutions is linked to women being in these executive positions. Currently, the higher education sector in Lebanon is under development as numerous educational developments are being implemented. The problem is that a peculiar attitude toward women in the HEI sector and specifically in top management positions still exists. In this study, the author explored women’s engagement at the top levels of higher education management and found that only 15 out of 65 Dean’s positions were filled by women and aimed to discover the factors behind the misrepresentation of women within the higher education system in Lebanon. In addition, the study found a positive relationship between the presence of women and the performance of HEIs. In this study, I aimed to focus on women’s engagement at the top management level and to emphasize the advantages of their skills and expertise, as well as to enhance the presence of women. The findings were significant and clear: There was misrepresentation, bias and stereotyping in HEIs. A clear strategic plan is needed to engage women in the decision-making process along with a well-designed incentive plan to achieve the required purpose. The aim of this study was to highlight this matter and to accentuate the benefit of women’s leadership roles in higher education in Lebanon. A qualitative strategy was used: Primary information was obtained from interviews with 12 chairpersons at six different schools. Data were gathered and analyzed to provide insightful results and recommendations.

A variety of empirical studies have investigated the relationship between management controls (MCs) and the financial and nonfinancial performance of for-profit firms, but there is a dearth of research on MCs in the higher education (HE) sector. Our study contributes to MC research by investigating the mediating role of MCs in the relationship between structural autonomy and both research and teaching performance in HE institutions and by comparing the perceptions of two major actors: heads of administration and academic deans. We use survey data of two paired subgroups with 104 heads of administration and 104 academic deans and perform a multigroup analysis with structural equation modeling. We find significant differences between heads of administration and academic deans concerning the relationship between structural autonomy and MCs and between MCs and teaching and research performance for the diagnostic and interactive use of controls. For heads of administration, we find that only strategic boundaries and strategic beliefs are significantly associated with teaching performance, whereas for academic deans, more autonomy is associated with more emphasis on most MCs. Furthermore, for academic deans, more emphasis on diagnostic use, but less on interactive use, is associated with higher research performance.

In this paper, a novel unsupervised machine learning (ML) algorithm is presented for the expeditious RF fingerprinting of LoRa modulated chirps. Identification based on received signal strength indicator (RSSI) alone is unlikely to yield a robust means for sensor authentication within critical infrastructure deployment. Here, an unsupervised ML algorithm is used to rapidly train an artificial neural network (ANN) matrix creating self-organizing maps (SOMs) for each authentic transmitter and a potential rogue node. A general classifier can be trained on the SOMs for precisely profiling each transmitter as either genuine or rogue. By means of experimental validation, this methodology demonstrated cent-percent success in recognizing each transmitter, either being a real or a rogue node.

Public expenditure is a major component of education expenditure in India. Though the higher-education expenditure in India increased significantly after Independence, budgetary allocations to higher education were squeezed off in the post economic reforms period and this sector also suffered significantly. The proportionate spending on the higher-education sector in India is much below the Central Advisory Board of Education (CABE) committee recommendation of 1% of gross domestic product for general higher education. The present study aimed to analyze state-wise disparity in public higher education expenditure in India by different parameters like per capita and per student higher education expenditure in terms of plan and non expenditure as well as revenue and capital expenditure. The regression results revealed that many states had elasticity of higher-education expenditure to gross state domestic product (GSDP) less than unity. Central and state governments of India should implement policies for more funding in the higher-education sector.

An intrusion detection system (IDS) is an important protection instrument for detecting complex network attacks. Various machine learning (ML) or deep learning (DL) algorithms have been proposed for implementing anomaly-based IDS (AIDS). Our review of the AIDS literature identifies some issues in related work, including the randomness of the selected algorithms, parameters, and testing criteria, the application of old datasets, or shallow analyses and validation of the results. This paper comprehensively reviews previous studies on AIDS by using a set of criteria with different datasets and types of attacks to set benchmarking outcomes that can reveal the suitable AIDS algorithms, parameters, and testing criteria. Specifically, this paper applies 10 popular supervised and unsupervised ML algorithms for identifying effective and efficient ML-AIDS of networks and computers. These supervised ML algorithms include the artificial neural network (ANN), decision tree (DT), k-nearest neighbor (k-NN), naive Bayes (NB), random forest (RF), support vector machine (SVM), and convolutional neural network (CNN) algorithms, whereas the unsupervised ML algorithms include the expectation-maximization (EM), k-means, and self-organizing maps (SOM) algorithms. Several models of these algorithms are introduced, and the turning and training parameters of each algorithm are examined to achieve an optimal classifier evaluation. Unlike previous studies, this study evaluates the performance of AIDS by measuring the true positive and negative rates, accuracy, precision, recall, and F-Score of 31 ML-AIDS models. The training and testing time for ML-AIDS models are also considered in measuring their performance efficiency given that time complexity is an important factor in AIDSs. The ML-AIDS models are tested by using a recent and highly unbalanced multiclass CICIDS2017 dataset that involves real-world network attacks. In general, the k-NN-AIDS, DT-AIDS, and NB-AIDS models obtain the best results and show a greater capability in detecting web attacks compared with other models that demonstrate irregular and inferior results.

There has been remarkable growth in the number of studies using data envelopment analysis (DEA) in research on higher education. Heterogeneous DEA models have been applied in assessing the performance of higher education institutions (HEIs), and the multi‐faceted production process of higher education has further motivated the extension and improvement of the DEA approach. The present study conducts a meta‐regression analysis of 109 published DEA applications in higher education at different levels of analysis to provide a better understanding of the relationship between the efficiency results and the attributes of the studies implemented in different nations.

The Effects of Online Learning Facilities and Personalities of Academic Staff on Student Satisfaction in Higher Education Institutions in Medan