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The purpose of this study is to analyze the potential mediating role of employee engagement in the relationship between gratitude and subjective well-being (SWB) of employees working in the information technology (IT) sector in India. The study investigated a moderated mediation model for gratitude and SWB, treating employee engagement as a mediator and gender as a moderator.

Data was collected from 162 professionals working IT sector in India. Process Macro, AMOS and IBM SPSS 22 were used to analyze the mediation and moderation effects.

The results depicted that employee engagement fully mediates the positive association between gratitude practice and the SWB of employees as well as the demographic variable; gender also demonstrated a full moderation effect between them.

This research may be one of the few studies from the Indian context that explore whether gratitude practiced by employees working in the IT sector can play a significant role in impacting their SWB. Past research models had not introduced employee engagement’s indirect impact on the examined variables.

The study aims to examine the mediating effect of psychological well-being (PWB) on the relationship between teamwork skills and student engagement (SE) in higher education institutional setups.

The study used a triangulation mixed-methods approach. Data were collected from final-year students pursuing post-graduation and graduation in private colleges in India. In the main study, quantitative data was gathered from 276 students through a survey. The relationship among the variables-teamwork skills, SE and PWB was empirically validated through path analysis; mediation was also conducted. In the auxiliary study, qualitative data was gathered through focus group sessions and was analyzed using thematic analysis.

Results depicted that teamwork skills positively predict students' engagement with their academic program. Additionally, PWB partially mediates the relationship between teamwork skills and SE.

The study was conducted to expand understanding of aspects related to promoting students' engagement in HEIs in Delhi and Haryana through being attentive toward teamwork skills development and through taking care of students' PWB.

Good management strives to align and corporate processes for more attention being paid to supply chain management. Firms realize that greater co-operation and improved coordination can help to manage the entire supply chain more efficiently. The imperfect quality item is one of the most important issues that affect the expected profit of green supply chain. The imprecise cost with screening process of poor quality items posed in supply chain is the subject of this study.

The present study explores production model for imperfect items having uncertain cost parameters with three-layer supply chain encompassing supplier, manufacturer and retailer. The model is considering the impact of business tactics such as order size, production rate, production cost and appropriate times in various sectors on collaborative marketing systems. Due to imprecise cost parameters, the pentagonal fuzzy numbers are set to fuzzify the total cost and defuzzifition by using graded mean integration.

This study offers an explicit condition in uncertain environment to manage the imperfect quality item to increase the potential profit of the supply chain. The influence of changes in parameter values on the optimal inventory policy under fuzziness is provided managerial insights.

This model makes a significant contribution to fuzzy inference. The results of the study provide a trading strategy for the industry to avoid losses. The prescribed study can be suitable for the industries like sculpture, jewelry, pottery, etc.

The awareness for protecting the environment has resulted in remanufacturing and recycling policies in manufacturing industries. Carbon emission is one of the most important elements affecting the environment. Carbon emission due to production and transportation creates complicated situations for the manufacturing firms by affecting the manufacturer's carbon quota. The ecological consequences posed in a reverse logistic model are the subject of this study.

The present study explores the fuzzy model of economic production for both remanufacturing and recycling with uncertain cost parameters under the cap-and-trade rule to control the carbon emission due to different modes of transportation. Due to imprecise cost parameters, the hexagonal fuzzy numbers are set to fuzzify the overall cost, which leads to correct decisions in a more confident way. The result is defuzzified by using graded mean integration.

This study offers an explicit condition to control the carbon emission of the manufacturer and reduce the optimum cost. The findings indicate that the collection of used goods that can be remanufactured must be increased. The model is validated numerically. Sensitivity analysis explores the various aspects of different parameters on net cost to accomplish the fuzzy production model.

Under fuzzy inference, the research offers a relevant contribution in the field of recycling with controlling carbon emission by using the cap-and-trade policy. This study provides a trading strategy for a manufacturer's decision to avoid losses.

A cascaded observer-based transfer delay frequency locked loop (CODFLL) algorithm is developed to control the distribution static compensator (DSTATCOM) to address various power quality (PQ) issues arise because of distorted grid and load conditions. Moreover, frequency locked loop is included along with the observer to take care of the frequency drift from nominal value and to improve its performance during steady state and transient conditions. During daylight, the proposed system works as photovoltaic (PV) DSTATCOM and performs multiple functions for improving PQ whilst transferring power to grid and load. The system under consideration acts as DSTATCOM during night and bad weather condition to nullify the PQ issues.

CODFLL control algorithm generates reference signal for hysteresis controller. This reference signal is compared with an actual grid signal and a gate pulse is produced for a voltage source converter. The system is made frequency adaptive by transfer delay adaptive frequency locked loop (FLL). Peak power is extracted from a PV source using the perturb and observe technique irrespective of disturbances encountered in the system.

The PV system’s performance with the proposed controller is studied and compared with conventional control algorithms such as least mean fourth (LMF), improved second-order generalized integrator frequency locked loop (ISOGI-FLL), synchronous reference frame phased lock loop (SRF-PLL) and frequency adaptive disturbance observer (DOB) for different cases, for example, steady-state condition, dynamic condition, variable insolation, voltage sag and swell and frequency wandering in the supply side. It is found that the proposed method tracks the frequency variation faster as compared to ISOGI-FLL without any oscillations. During unbalanced loading conditions, CODFLL exhibits zero oscillations. Harmonics in system parameters are reduced to the level of IEEE standard; unity power factor is maintained at the grid side; hassle-free power flow takes place from the source to the grid and load; and consistent voltage profile is maintained at the coupling point.

CODFLL control algorithm is developed for PV-DSTATCOM systems to generate a reference grid current.

Faced with the existential threat of COVID-19, the College of Business Administration (CBA) at Princess Nourah Bint Abdulrahman University (PNU) decided to work toward the dual goals to achieve accreditation and an effective social and educational response to the pandemic. CBA’s quality improvement process was implemented synergistically with Seligman’s (2011) PERMA well-being model, namely positive emotions, engagement, relationship, meaning, and accomplishment/achievement. The case study methodology, which was based on direct observations, faculty and students’ interviews, surveys, feedback, documents, and archival data records, allowed to capture the context and lived reality of all the participants in QAA processes. Results showed that quality improvement was facilitated through three domains: (1) governance and academic leadership, (2) teaching and learning, and (3) digitalization and technology. Within each domain, specific programs, activities, human resources, and networks were enabled through a framework based on the PERMA well-being model. As a result of this hybrid QAA well-being implementation process, CBA achieved NCAAA accreditation for its offered programs, while experiencing high levels of well-being and commitment to teaching and learning by the staff members and students. The description of CBA’s accreditation journey might be insightful for other higher education institutions (HEIs).

Globally, higher education institutions have become reliant on a quality assurance (QA) system over the past four decades. QA is considered to be one of the most important drivers of continuous improvement and an essential tool for promoting excellence in teaching, learning, and research. It provides a framework for establishing and maintaining standards, and for assuring stakeholders that programs and services meet or exceed these standards. Despite the wide range of quality assurance models available to higher education institutions, there remains considerable debate over which model is the most effective, as well as what criteria should be used for evaluating the effectiveness of these models. Universities in the Middle East have tried to adopt different models of QA that can meet their needs and expectations and provide a framework for continuous improvement. A major objective of this book is to provide an overview account of the QA process as implemented in the higher education systems of a number of Middle East countries, including Egypt, Iraq, Lebanon, Saudi Arabia, and the United Arab Emirates. This book lays out essential theoretical and practical insights into the role of QA policies and practices in higher education in the Middle East countries and builds upon this idea to provide a blueprint for future academic leaders in these countries and other Middle Eastern countries to enhance their QA policies and practices and drive higher education in those countries forward.

Study on chia seeds is receiving increasing interest because of their nutritional and health-promoting properties that have been recognized by their high content of antioxidants, proteins, minerals and dietary fibers. Hence, the purpose of this study is to develop a value-added food product using chia seeds and to assess the nutritional properties, shelf life and consumer acceptability of the developed product.

Six different formulations of muffin mix were prepared by incorporating chia seeds with wheat flour in various ratios and evaluated for sensory characteristics. The nutritional components and shelf lives of the developed products were also evaluated. The developed product was stored for three months to assess the shelf life.

Results indicated that muffins made with chia seeds can be added up to 20% in wheat flour without affecting the sensory scores (p = 0.0014). Regarding nutritional evaluation, the results revealed that 20% incorporation of chia seeds significantly increased the total antioxidant activity (p = 0.001), increased the crude protein (p = 0.0001), fat (p = 0.0001) and crude fiber (p = 0.001) contents and lowered the carbohydrate (p = 0.0001) content when compared to the control sample. Muffin mix made with chia seeds had significantly higher mineral content (calcium, phosphorus, zinc and iron) than did the control. The developed product had a shelf-life stability of three months in terms of moisture content, peroxide value and total bacterial count and was well accepted by consumers.

Intrinsic characteristics of chia seeds can improve the quality of muffins and bring health benefits to the consumers.