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Faculties have a vital role to play in ensuring that their graduates are trained with relevant skills. Formally arranged capacity building programs (CBPs) can aid in training and retraining the faculties with relevant contemporary skills so that they in turn can do justice to their students. The purpose of this study is to analyze the efficacy of such public-funded online CBPs in enhancing faculties’ research and teaching capabilities.

Ascientifically designed questionnaire was sent to faculties who attended 12-day public-funded online capacity building workshop. Binomial logistic regression models were constructed to analyze as to how effective the online workshop was in enhancing teaching and research skills of the faculties involved.

From the research study, the authors were able to infer that although faculties were able to understand theoretical concepts of qualitative nature relatively easily, the authors felt that its value addition in enhancing the research output was rather limited. The study also found that the faculties felt teaching concepts outside their “syllabus” to be counterintuitive. A significant finding of the study was that research had an important role in enhancing their teaching efficacy.

Studies which are undertaken to test the efficacy of online capacity building workshops are scarce. This domain is going to gain importance in near future as technology is evolving at a rapid rate and online training of faculties helps in optimizing scarce resources.

Education transmits knowledge and abilities that are essential for any society’s socioeconomic progress. It improves the quality of life by providing both individuals and civilizations with several advantages. In this regard, women’s education is critical as they spend longer time with children than men. Despite the fact that education plays an immense role in overall wellbeing of society, in India, there are fewer educational opportunities available to young women than to young men. The gender bias that persists in Indian education and professional training is evident even in the richest countries in the world. In this regard, this study focuses on this intergenerational transmission of knowledge from the mother to her progenies in Karimganj District of Assam using the data from the household level primary survey. This study examines mothers’ educational profiles and ascertains the extent to which their education influence their children’s educational attainments. The results show that woman’s education has a direct role in enhancing the overall welfare of children and, thus, indirectly improves the economic status of the family. The results provide definite causal connections between a mother’s education and children’s educational attainment.

The usage of social media at the workplace has become an undeniable reality, yet the role of social media use (SMU) in job-related outcomes is still unclear. This study uncovers a chain process through which SMU may strengthen job security perception of employees through social media disorder (SMD) and networking behavior.

This quantitative study used ratings of 197 Emirati students enrolled in a higher education institution located in United Arab Emirates (UAE). The respondents were professionals serving in different public and private organizations in UAE.

The statistical results supported a significant serial mediation of SMD and networking behavior between SMU and job security perceptions of employees.

This study offers implications for employees and their supervisors about the usage of social media for strengthening their perceptions of job security.

This study contributed to the existing stream of research on SMU to explain a chain process through which employees may benefit from social media to strengthen their perceptions of job security.

Nowadays, food problems are likely to arise because of the increasing global population and decreasing arable land. Therefore, it is necessary to increase the yield of agricultural products. Pesticides can be used to improve agricultural land products. This study aims to make the spraying of cherry trees more effective and efficient with the designed artificial intelligence (AI)-based agricultural unmanned aerial vehicle (UAV).

Two approaches have been adopted for the AI-based detection of cherry trees: In approach 1, YOLOv5, YOLOv7 and YOLOv8 models are trained with 70, 100 and 150 epochs. In Approach 2, a new method is proposed to improve the performance metrics obtained in Approach 1. Gaussian, wavelet transform (WT) and Histogram Equalization (HE) preprocessing techniques were applied to the generated data set in Approach 2. The best-performing models in Approach 1 and Approach 2 were used in the real-time test application with the developed agricultural UAV.

In Approach 1, the best F1 score was 98% in 100 epochs with the YOLOv5s model. In Approach 2, the best F1 score and mAP values were obtained as 98.6% and 98.9% in 150 epochs, with the YOLOv5m model with an improvement of 0.6% in the F1 score. In real-time tests, the AI-based spraying drone system detected and sprayed cherry trees with an accuracy of 66% in Approach 1 and 77% in Approach 2. It was revealed that the use of pesticides could be reduced by 53% and the energy consumption of the spraying system by 47%.

An original data set was created by designing an agricultural drone to detect and spray cherry trees using AI. YOLOv5, YOLOv7 and YOLOv8 models were used to detect and classify cherry trees. The results of the performance metrics of the models are compared. In Approach 2, a method including HE, Gaussian and WT is proposed, and the performance metrics are improved. The effect of the proposed method in a real-time experimental application is thoroughly analyzed.

Camel as a livestock plays an important role in desert ecosystem and its milk has potential contribution in human nutrition in the hot and arid regions of the world. This milk contains all the essential nutrients as found in other milk. Fresh and fermented camel milk has been used in different regions in the world including India, Russia and Sudan for human consumption as well as for treatment of a series of diseases such as dropsy, jaundice, tuberculosis, asthma and leishmaniasis or kala-azar. The present paper aims to explore the possibility of camel milk as an alternative milk for human consumption.

Recently, camel milk and its components were also reported to have other potential therapeutic properties, such as anti-carcinogenic, anti-diabetic, anti-hypertensive and renoprotective potential; and for autism, and has been recommended to be consumed by children who are allergic to bovine milk.

It has also been reported to alleviate oxidative stress and lipid peroxidation in rats. Camel milk differs from bovine milk in composition. It contains low total solids and fat; however, proteins and lactose are in equal amount but of higher quality than cow milk. Because of the high percentage of β-casein, low percentage of α-casein, deficiency of β-lactoglobulin and similarity of the immunoglobulins, it become safer for persons who are allergic to bovine milk. It contains protective proteins in higher amount which contributes to its functionality. The fermentation and enzymatic hydrolysis of camel protein produce different types of bioactive peptides which exerts different activity in in vitro and in vivo conditions.

Because of its unique quality and functionality, this milk has potential application in management of different diseases and application in food industries.

The purpose of this paper is to establish a social-network sp.orts lottery system to support users in predicting and simulating sports lottery betting. The community data were generated to support user decision and featured instant game records and odds data synchronisation. Furthermore, the next development cycle were evaluated through a questionnaire.

An extended prototype website development methodology was applied to develop the system. An online sample was collected to evaluate the function, interface, operation, and prediction designs. The χ2 test and variance analysis were used to determine the association between facets and basic demographics. Finally, the regression model was used to identify the potentially essential predictors that influence the measurement facets.

The high frequency of Facebook users, sports lottery purchases, and sports game viewers prefer the ability to predict the results of future sports games as advanced decision-making functions. However, the agent-based virtual gift presentation function was the least preferred function.

The study sample was limited only to users: who used PTT and Facebook; were of uneven age, education, and gender; and none segment groups. The study sample primarily comprised Taiwanese respondents. These differences might influence the practicality and prediction bias of the designed website and related models.

The proposed method integrates social-network messages with real-time data access by using APIs, crawler schemes, and prediction mechanisms that enable developers to devise strategies for obtaining high system satisfaction. The system can be improved by adding the results of future sports games and excluding authorised Facebook message posts.

A social-network-based sports lottery and prediction prototyping website was evaluated through a user-preference survey regarding design functions. The measurement results indicated that users share their opinions, predictions, and personal betting results and interact with their friends.

The purpose of this study is to understand factors that motivate an individual to seek knowledge on knowledge management systems. Specifically, the work seeks to clarify the impact of organizational practices on an individual’s intention to seek knowledge. The overarching theme is to broaden the current understanding of factors that impact individual knowledge seeking behavior and narrow down factors for which interventions can be developed.

In-depth interviews were conducted with the members of knowledge management (KM), human resources (HR) and learning and development teams of Robert Bosch Engineering and Business Solutions Private Limited (RBEI) to understand knowledge behaviors of employees. Subsequent to an exploratory analysis, the survey methodology was used to collect data from members of RBEI. A proposed theoretical model was then validated using partial least squares.

Empirical findings suggest that to motivate participation, organizational KM practices need to be geared towards promoting curiosity and engaging learners. Results indicate that overt recognition of knowledge seeking behaviors by HR could be counterproductive.

This study was limited to an MNC engineering organization in one geographic location; one must be cautious when generalizing these results. Replicating this study in multiple organizations will help mitigate this limitation.

Little is known on the effect of KM and HR practices on knowledge seeking behaviors. This work addresses this gap and presents a comprehensive model.

The purpose of this paper is to investigate the impact of blended working (BW) on individual payoffs like psychological ownership (PO), affective organizational commitment (AOC) and digital stress (DS). Additionally, the study also examines the moderating role of organizational optimism (OO) on the relationships stated to determine the boundary condition of the relationship between BW and the individual payoffs.

A longitudinal field survey based on executives employed in the Indian service industries (comprised of state-owned banks, three healthcare and four MNCs) was conducted. Levels of BW, AOC, PO, DS and OO were measured through a validated scale, and the relationships' significance was explored.

The result indicated that BW positively influences AOC and DS, while OO influences PO positively and DS negatively. OO also moderates the influence of BW on PO and DS.

This research extends its contribution to the extant literature by (1) exploring the unique context of research in work conditions (BW) across India, (2) examining macro level factor (OO) in the linkage between BW and psychosocial factors, (3) investigating the moderating effect of OO and (4) considering a relatively large sample for empirical analysis in several waves to study BW and its individual pay-offs.

How or whether dimensions of work-to-family enrichment (WFE) mediate the relationship between an individual's core self-evaluations (CSEs) and their psychological well-being (PWB) is yet to be explained. The purpose of this study is to examine the role of three WFE dimensions in mediating between CSEs and PWB in Indian bank employees.

The present study collected data from 222 full-time bank employees working in Indian nationalized banks. The authors tested the study hypotheses using parallel mediation analysis.

The result showed positive associations among CSEs, all WFE dimensions (development, affect and capital-based) and PWB. Parallel mediation analysis suggested that two WFE dimensions (affect and capital-based) mediated the relationship between CSEs and PWB.

The use of a single source of data (Indian nationalized banks) limits the generalizability of the findings.

Senior management at these banks may build a happier and more satisfied workforce by implementing appropriate training and personality development programs. Empowering and rewarding employees for the desired performances may help them appreciate their self-worth, enrich their quality of life (by gaining positive resources from work-family interactions) and ultimately improve their PWB.

The research literature has been relatively silent on the mediating role of individual dimensions of WFE. The present study adds to the existing body of knowledge by exploring the role of individual dimension-based WFE in the relationship between CSEs and PWB.

This research examines the effects of the context on the relationship between work design, learning mechanism and total quality management (TQM). The exploratory study examines the differential effects in context on how human resources and their activities are strategically managed for achieving TQM. Two theoretical frameworks – activity theory and contextual learning theory – are concurrently used for analysis. Specifically, the manufacturing companies, the authors examine are (1) technology-intensive company which has bought technology from a global foreign establishment (MU1), (2) technology-intensive companies having their own technology (MU2) and (3) labor-intensive units (MU3) of varying organizational sizes.

This case study-based research consists of 27 in-depth interviews with managers and employees of different hierarchies in each manufacturing unit. The authors interviewed them using semi-structured questions that were pre-validated by five senior HR experts from the manufacturing industry. Document analysis, multiple site visits and website content helped triangulation. The data are coded and analyzed using Dedoose software for qualitative research.

Activity diagrams for each manufacturing unit provides task and interaction analysis. Within and cross-case analysis address complexity and challenges of contextual reality, influences on work design and learning mechanism. HRD executives must recognize that there may be well-differentiated learning behaviors that align with organizational strategy. The learning behaviors may not be well-differentiated and become very dynamic. This dynamism may be characterized by double loop and single-loop learning feeding into each other.

This study provides substantial practical implications for HRD and other managers in the manufacturing sector.

The new theoretical framework adds to organizational behavior studies through multi-level and cross-contextual approach. It informs strategic combinations and interactions between internal and external context, and learning needs implicating work design and TQM.