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Employee relations: a comprehensive theory based literature review and future research agenda
This study aims to conduct a systematic and integrative literature review to consolidate the extensive information on employee relations accumulated over the past century, thereby offering new insights into domain-specific phenomena. The research followed a four-phase search strategy in accordance with the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol. The keyword search utilized terms such as 'employee relations,' 'employee relation,' 'employment relation,' and 'employment relations' in the Scopus and Web of Science databases. By employing an integrative approach along with specific inclusionexclusion criteria, the researchers synthesized articles from leading journals in the field of employee relations, categorizing them based on geographical region, article types, prominent authors and their affiliations, and the most cited research articles. In the final stage, the researchers presented new insights through a conceptual framework utilizing the ADO-TCCM approach, which encompasses antecedents, outcomes, theories, context, methodology, mediators, and moderators of employee relations. This study synthesizes findings and reorganizes key themes into innovative frameworks, providing fresh perspectives on various aspects of employee relations. Ultimately, it offers valuable insights into the critical factors that strengthen long-term employee-employer relationships. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. -
Employee Social Experiences and Performance Management Systems: A Brain-Friendly Approach in Organizations
In the wake of the COVID-19 pandemic, organizations are undergoing significant changes that call for more effective people management strategies. With new competitive challenges and constantly evolving environments, modern organizations need toadapt to ensure their continued success. One valuable tool for achieving this goal is a performance management system. However, it is crucial to update the theories and techniques of this system to meet the current demands. This study explores how the performance management system affects employees social experiences from a neuroscience perspective. Using a quantitative approach, the study gathered information from 268 employees across various industries in India, considering ten performance management criteria and evaluating social experience components using the SCARF model based on neuroscience. The results reveal that specific aspects of the performance appraisal system significantly impact employees social experiences. Based on their understanding of the link between different factors in the performance appraisal process and the quality of social experience, researchers recommend a performance appraisal model that promotes a brain-friendly work environment. These findings are especially relevant to managers and organizations, as they offer valuable insights into critical factors to consider when planning and implementing performance appraisal systems in modern workplaces. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Employees Job Satisfaction, Work-Life Balance, and Health During the Pandemic
The impact of the COVID-19 pandemic on private enterprises has been particularly noticeable in the IT and non-ITES sectors. Work came to a complete halt due to the ensuing lockdown, severely affecting businesses and further harming industries like aviation and hospitality. Widespread job losses, shortened workweeks, minimum wage reductions, short-term leave policies, and even company closures have been the results. To understand the extent of these impacts, a descriptive study was conducted online in AprilMay 2021, involving 2439 white-collar workers from various private companies. Convenient sampling methods were used to gather data on the experiences of employees in these sectors during the pandemic. The survey's findings demonstrate a positive but weak association between Work-Life Balance and Health Stress (r?=?0.24, p?<?0.01) and a positive low correlation between Work-Life Balance and Job Satisfaction (r?=?0.23, p?<?0.01). Therefore, work-life balance and job satisfaction among employees were significantly correlated throughout the epidemic. Additionally, there was a negative moderate correlation between Health Stress and Job Satisfaction (r?= ?0.48, p?<?0.01), indicating that as Health Stress decreases, Job Satisfaction increases at moderate levels. The implications of the study were discussed further. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Employer branding on the creation of anticipatory psychological contract
The process of the psychological contract (PC) starts before the employee joins the organisation. The brand of the company remains in the mind of candidates who apply for the job. Considering this relation, this research work is carried out to offer a detailed analysis of the position of employer branding (EB) in the formation of anticipatory psychological contracts (APCs) among millennials. The empirical study was carried out with a sample size of 330 respondents who are studying post-graduation management studies; these students are about to join the corporates. The outcomes of this study show that EB significantly impacts the PC. EB has a strong influence on relational expectations as compared to transactional expectations and employee obligations among potential employees. This paper helps recruitment managers to understand the expectations of potential employees and their beliefs towards their employers during the pre-employment phase. Copyright 2022 Inderscience Enterprises Ltd. -
Employing Artificial Intelligence and Automation in Sustainable Development Research
The rise of artificial intelligence (AI) and its increasingly widespread influence across various sectors necessitates an evaluation of its impact on the attainment of Sustainable Development Goals (SDGs). Industrialized nations have reaped the benefits of 21st-century technologies, particularly automation, which has fundamentally transformed the manufacturing and industrial production processes. The next evolutionary phase in automation is the advent of AI, characterized by machines and systems demonstrating intelligence, not only capable of performing tasks but also collaborating synergistically with humans and the environment. Among its myriad contributions, AI is poised to enhance development, foster sustainable resource utilization, and facilitate effective waste management. Intelligent systems are set to reshape various domains, including transportation, precision agriculture, biodiversity conservation, environmental modeling, public health, construction, manufacturing, and initiatives aimed at fostering prosperity on Earth. These systems will possess the ability to perceive, analyze situations, and responsively react to real-time cues such as human gestures, facial expressions, and the movement of pedestrians crossing busy streets. This research delves into the intricate relationship between AI systems and the objectives of sustainable development (SD). 2025 by Apple Academic Press, Inc. -
Employing Artificial Intelligence and Automation in Sustainable Development Research
The rise of artificial intelligence (AI) and its increasingly widespread influence across various sectors necessitates an evaluation of its impact on the attainment of Sustainable Development Goals (SDGs). Industrialized nations have reaped the benefits of 21st-century technologies, particularly automation, which has fundamentally transformed the manufacturing and industrial production processes. The next evolutionary phase in automation is the advent of AI, characterized by machines and systems demonstrating intelligence, not only capable of performing tasks but also collaborating synergistically with humans and the environment. Among its myriad contributions, AI is poised to enhance development, foster sustainable resource utilization, and facilitate effective waste management. Intelligent systems are set to reshape various domains, including transportation, precision agriculture, biodiversity conservation, environmental modeling, public health, construction, manufacturing, and initiatives aimed at fostering prosperity on Earth. These systems will possess the ability to perceive, analyze situations, and responsively react to real-time cues such as human gestures, facial expressions, and the movement of pedestrians crossing busy streets. This research delves into the intricate relationship between AI systems and the objectives of sustainable development (SD). 2025 by Apple Academic Press, Inc. -
Employing bioactive compounds derived from Ipomoea obscura (L.) to evaluate potential inhibitor for SARS-CoV-2 main protease and ACE2 protein
Angiotensin converting enzyme 2 (ACE2) and main protease (MPro) are significant target proteins, mainly involved in the attachment of viral genome to host cells and aid in replication of severe acute respiratory syndrome-coronaviruses or SARS-CoV genome. In the present study, we identified 11 potent bioactive compounds from ethanolic leaf extract of Ipomoea obscura (L.) by using GC-MS analysis. These potential bioactive compounds were considered for molecular docking studies against ACE2 and MPro target proteins to determine the antiviral effects against SARS-COV. Results exhibits that among 11 compounds from I. obscura (L.), urso-deoxycholic acid, demeclocycline, tetracycline, chlorotetracycline, and ethyl iso-allocholate had potential viral inhibitory activity. Hence, the present findings suggested that chemical constitution present in I. obscura (L.) will address inhibition of corona viral replication in host cells. 2020 The Authors. Food Frontiers published by NCU, NWU, JSU, ZJU & FAFU and John Wiley & Sons Australia, Ltd. -
Employing Deep Learning in Intraday Stock Trading
Accurate stock price prediction is a significant benefit to the Stock investors. The future Stock value of any company is determined by Stock market prediction. A successful prediction of the stock's future price could result in a significant profit; Hence investors prefer a precise Stock price prediction. Although there are many different approaches to helps in forecasting stock prices, this paper will briefly look into the deep learning models and compare LSTM model and its variants. The key intention of this study is to propose a model that is best suitable and can be implemented to forecasting trend of stock prices. This paper focuses on binary classification problem, predicting the next-minute price movement of SPDR SP 500 index The testing experiments performed on the SPDR SP 500 index reveals that the variants of LSTM models, Slim LSTM1, slim LSTM2, and Slim LSTM3 with less parameters, provide better performance when compared to the Standard LSTM Model. 2020 IEEE. -
Empowered learning in school: A scoping review
A high degree of motivation, a sense of commitment, self-efficacy and the ability to make the right choices are the characteristics of empowered learners. With education being seen as preparation for life, educators are increasingly pressured to develop curriculum and pedagogy that assist learners to become empowered. Based on the theoretical framework developed by Arksey and OMalley, the present study reviewed 16 empowered learning intervention studies at the school level published between the years 1995 and 2021 as well as provides an extensive summary of empowered learning enhancing interventions conducted in schools. This study highlights the concept of empowered learning, features and scope of interventions directed towards empowered learning of students at schools and the role of empowered learning in schools. Notwithstanding varied intervention results, the findings of this study indicate that empowered learning interventions produce highly motivated students with a sense of commitment and self-efficacy. This review also identifies the need for more pure experimental studies and a commonly accepted theory on empowered learning as a single concept. 2023, Institute of Advanced Engineering and Science. All rights reserved. -
Empowering a Sustainable Future: Blockchains Role in Economy, Organizations, and Finance Towards Smart Circular Economy
In the present era, blockchain is considered as driving force reshaping the global economy. It is redefining the organizational structure and the business activities and revolutionizing the financial market. Blocking-based technologies also have immense potential to address climate change, concerns, and resource constraints. This chapter provides insights into the multifaceted role of blockchain in driving sustainable development goals by fostering transparency, improving accountability, and integrating sustainability across organizational and financial domains. It analyses the blockchain potential to strengthen financial sustainability through decentralized finance, an equitable financial system. Further, it also highlights the instrumental role of blockchain by improving the supply chain, transparency, corporate governance, and incorporation of environmental, social, and governance (ESG) principles into the business model. Moreover, this chapter discusses the alignment of blockchain with the United Nations sustainable development goals, highlighting its potential to address, pressing issues such as resource efficiency, climate, change, and inequality. It critically assesses the various challenges in the adoption of blockchain and underscores its importance in achieving long-term sustainability goals. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Empowering Adolescent Emergent Readers in Government Schools: An Exploration of Multimodal Texts as Pathways to Comprehension
This exploratory study, which was part of a larger investigation into multimodality, looked at the comprehension levels of 62 Grade 8 students from two government schools who were identified as emerging readers out of a group of 118 students. Through observations and interactions with teachers and students, the potential for multimodal texts to enhance comprehension was highlighted. The study specifically compared the effectiveness of a digital comic (Text A) and an audio-visual text (Text B) in enabling comprehension among these emergent readers. Participants were instructed to narrate the content and share their interpretations of these texts, with their responses recorded and analyzed. Feedback revealed a marked preference for Text B among 45 of the 62 emergent readers assessed. Employing theoretical frameworks related to comprehension, language production, multimodality, and task structure, this research concentrated on the subset of 45 students who favored Text B. The findings underscore the importance of aligning instructional materials with students preferred learning modalities, suggesting that such alignment enhances comprehension. The study proposes a refined approach to literacy education policy, advocating for the inclusion of diverse modalities to better meet the varied learning needs of students. 2024 Association of Literacy Educators and Researchers. -
Empowering Adolescent Emergent Readers in Government Schools: An Exploration of Multimodal Texts as Pathways to Comprehension
This exploratory study, which was part of a larger investigation into multimodality, looked at the comprehension levels of 62 Grade 8 students from two government schools who were identified as emerging readers out of a group of 118 students. Through observations and interactions with teachers and students, the potential for multimodal texts to enhance comprehension was highlighted. The study specifically compared the effectiveness of a digital comic (Text A) and an audio-visual text (Text B) in enabling comprehension among these emergent readers. Participants were instructed to narrate the content and share their interpretations of these texts, with their responses recorded and analyzed. Feedback revealed a marked preference for Text B among 45 of the 62 emergent readers assessed. Employing theoretical frameworks related to comprehension, language production, multimodality, and task structure, this research concentrated on the subset of 45 students who favored Text B. The findings underscore the importance of aligning instructional materials with students preferred learning modalities, suggesting that such alignment enhances comprehension. The study proposes a refined approach to literacy education policy, advocating for the inclusion of diverse modalities to better meet the varied learning needs of students. 2024 Association of Literacy Educators and Researchers. -
Empowering Adolescents and Communities: Integrating Mental Health Awareness and Destigmatisation into Curriculum and Building a Foundation for Life
Adolescence, a critical period of growth, has seen an increase in mental health issues. Despite some successes in government initiatives, stigma continues to hinder help?seeking. To address this, programs should focus on anti?stigma efforts and emerging needs. A comprehensive mental health curriculum can help normalize discussions, reduce stigma, and encourage help?seeking. However, overcoming challenges such as time constraints, parental resistance, and a shortage of trained educators is essential. Organizing awareness events and sharing recovery stories can help combat stigma. Although social media has its drawbacks, it offers accessible and anonymous outreach. A concerning trend is the romanticization of mental health, which can trivialize real struggles and potentially lead adolescents to pretend mental illness for attention. A two?tiered solution is necessary to address this issue, involving certified educators, first?aid responders, and curriculum integration. This system allows professionals to focus on prevention and promotion while specialists handle diagnosis and treatment, ultimately fostering a long?term, inclusive, and mentally healthy society. 2025 Indian Journal of Social Psychiatry. -
Empowering Agriculture using New Approach of Machine Learning Techniques to Detect Early Plant Diseases
Plant health plays a critical role in ensuring global food security and sustaining agricultural productivity, as it directly influences crop yields and economic stability. Reducing losses and enhancing farm management techniques depend on early plant disease detection. This research suggests a new hybrid framework that combines deep learning (DL) and machine learning (ML) to improve disease detection's precision and effectiveness. The ML component effectively processes structured data, providing clear and reliable recommendations, while the DL model focuses on extracting detailed features from high resolution plant images through advanced image processing. By combining these complementary techniques, the framework achieves high precision, scalability, and real-time disease monitoring capabilities. This innovation supports farmers and agricultural experts in making timely, informed decisions, reducing crop losses and advancing sustainable farming practices. Ultimately, better precision agriculture is made possible by the integration of these cutting edge technology, which supports sustainable agricultural development and global food security. Grenze Scientific Society, 2025. -
Empowering BRICS economies: The crucial role of green finance, information and communication technologyand innovation in sustainable development
This study delves into the crucial role of green finance, information and communication technology (ICT), technological innovation, and renewable energy in the Brazil, Russia, India, and China (BRICS) countries from 2000 to 2021. The findings highlight the importance of green finance in reducing the ecological footprint and promoting eco-friendly initiatives, sustainable practices, environmental technology innovation, and heightened environmental awareness. This means 1% increase in green related finance has reduced ecological footprint by 0.72% in BRICS economies. Additionally, technological innovation and the consumption of renewable energy play a significant role in enhancing environmental sustainability. Conversely, the study reveals that ICT has a considerable impact on the ecological footprint, but the interaction effect with green finance helps to mitigate its negative effects and improve the environmental quality. Meanwhile, non-renewable energy, gross domestic product (GDP) per capita, and urbanization have an adverse effect on the environment. To strengthen green finance in BRICS countries, governments can establish comprehensive policy frameworks that prioritize sustainability and create a conducive climate for incentivizing investment in environmentally friendly endeavors. 2024 ERP Environment and John Wiley & Sons Ltd. -
Empowering Democracy: A Comprehensive Analysis and Predictive Modelling of Voter Turnout in Indian General Elections
This study aims to break down the complex dynamics driving voter turnout in Indian general elections, providing a detailed examination of the various elements that influence voters to engage in the democratic process. It investigates how voter engagement is changing over years, looking at socio-economic factors, regional differences and historical patterns that have an impact on civic engagement. The research utilizes a detailed exploratory data analysis to examine voter data from 1952 to 2019. Key factors influencing voting turnout are identified through statistical methods and visualizations. In order to predict and comprehend voter behaviour based on various socio-demographic parameters, the study uses advanced machine learning algorithms, such as Random Forest, XGBoost, LSTM and other important models. This project contributes to the understanding of voter behaviour, providing actionable insights for improving democratic participation in the Indian electoral landscape by utilizing hyper-localized constituency-wise data. Previous studies mostly looked into the political landscape of other countries and did not use any hyper-localized data. The study reveals regional differences, socio-economic linkages and important drivers of voter turnout. It highlights the value of focused campaigns, interventions tailored to a certain region and the use of technology to increase political engagements. 2025 MDI. -
Empowering E-commerce: Leveraging Open AI and Sentiment Analysis for Smarter Recommendations
Online product reviews are pivotal in shaping consumer purchasing decisions in today's digital era. Leveraging the wealth of sentiment-rich data available through these reviews, this research proposes an approach to enhance product recommendation systems. This study integrates sentiment analysis techniques into the recommendation process to provide users with more personalized and insightful product recommendations. By analyzing the sentiment expressed in user-generated content, such as reviews and ratings, this system aims to capture not only the explicit preferences but also the underlying sentiments and emotions of users towards products. Furthermore, this system utilizes OpenAI and the power of Langchain to develop a chatbot interface, enabling users to interact naturally and receive personalized product recommendations based on their preferences and sentiment analysis. Through experimentation on real-world datasets, this paper evaluates the effectiveness and performance of the sentiment-enhanced recommendation system compared to traditional recommendation methods. The results demonstrate the potential of sentiment analysis in improving the relevance, accuracy, and user satisfaction of product recommendations. 2024 IEEE. -
Empowering Educators: Leveraging GenAI for Enhanced Lesson Planning and Student Engagement
These days tech is disrupting every sector out there - and yes, schooling is no exception. We aren't dreaming about mixing Generative AI (GenAI for short) into our classrooms anymore; however, there's the good and bad. Now educators are considered to be more than simple knowledge deliverers and are expected to be wedded to these new tools into specialized, engaging lessons. It's somewhat of a fine balance where GenAI can actually very much empower teachers and students, rather than drown them in tech. In general, this implies that we must consider carefully how GenAI should be used for its potential to function at its best. Here we discuss how GenAI can reconfigure teaching methods to improve both the quality and reach of education. Using GenAI well is ultimately a question of employing a sort of framework that combines brand new ideas with 'what works' in teaching. 2026, IGI Global Scientific Publishing. All rights reserved. -
Empowering energy access: the influence of Islamic banking and Fintech on sustainable energy in MENA
Purpose This study aims to examine the impact of financial inclusion through Islamic banking and fintech-driven digital financial services on sustainable energy access (SEA) in the Middle East and North African (MENA) region. Despite the regions abundant energy resources, persistent challenges of energy poverty remain. This study explores how complementary financial mechanisms can address financing gaps in clean energy initiatives. Design/methodology/approach This study explores the influence of Islamic banking and fintech on energy poverty in the MENA region. Using the entropy weight approach, the authors uniquely construct composite SEA indices for individual MENA countries and ascertain how these SEAs are influenced by Islamic banking (FI1) and fintech-driven financial inclusion (FI2). Findings The findings reveal an average SEA value of 0.25, indicating that MENA countries face energy poverty. The analysis shows the influence of banking infrastructure and Islamic financial services on SEA in the Islamic MENA region, highlighting the complexity of the issue. From an aggregate view, both aspects of financial infrastructure improve SEA. The results show that unemployment, trade openness, urbanization and inflation significantly predict SEA. Originality/value The findings apply to the Islamic MENA region because of the larger sample of countries than the single-country studies primarily found in the relevant literature. The findings underscore the complementary roles of Islamic banking and fintech-based financial inclusion in addressing energy poverty, presenting essential implications for policymakers and governments in the MENA region. 2025 Emerald Publishing Limited -
Empowering families: Strategies for effective child and adolescent treatment
This chapter examines the importance of family involvement in infant and adolescent psychological practices and interventions. It emphasizes the significance of involving families in the therapeutic process, which leads to enhanced treatment outcomes, increased parent and carer satisfaction, and a higher probability of long-term success. It discusses evidence-based interventions that effectively engage and empower parents and carers, such as parent education, family therapy, and parent-child interaction therapy. Despite the numerous advantages, family involvement may face cultural differences, language barriers, stigma, and lack of awareness. Mental health professionals must adopt culturally sensitive approaches, combat stigma, and provide ongoing support and education to surmount these obstacles. When families are actively involved and empowered, they establish a strong support network beyond therapy sessions, promoting resilience and positive change for the child's development and well-being. 2024, IGI Global. All rights reserved.