Browse Items (14428 total)
Sort by:
-
Management practices on execution effectiveness of strategies based on Thirukkural
Thirukkural by Thiruvalluvar contains couplets that speak about the morale necessary for an individual based on the roles played in various circumstances of life. These are applied to various fields including management even today. In this chapter, the authors conduct a narrative analysis on two major aspects of management skills to be inculcated in managers for successful progression of the organization. Execution is one such important aspect of management which plays a significant role in constructing effective doable strategies and executing the strategies without delay after proper analysis, thus sustaining the motivation level of the team and progress. 2024, IGI Global. All rights reserved. -
Managing change, growth and transformation: Case studies of organizations in an emerging economy
Purpose: In view of dynamic and widespread economic transformation in emerging economies, managing organizational change and growth in this context deserves more research attention. The purpose of this paper is to examine how three organizations in different industries manage change, growth and transformation in their organizational ecosystem. Design/methodology/approach: The authors conducted in-depth interviews with the leadership of three organizations in different economic sectors in India, a country representing an emerging economy. The authors also reviewed historical data from these organizations. Three case studies illustrating the evolution of these organizations were developed from the data collected. Findings: Lessons and implications from the three case studies suggest the following key elements of effective organizational change mechanisms in an emerging economy: visionary entrepreneurial leadership; program quality excellence; scale growth and scope expansion; network capabilities; and sustainable stakeholders engagement. At the same time, this study also shows how these organizations manage change, growth and transformation in the context of a society with strong traditions and cultural norms. Research limitations/implications: Results and conclusions may be limited by the fact that the study is based on three case studies. Additional studies from a variety of industries with large numbers of participants will be helpful in more fully understanding the ways in which change, growth and transformation can best be developed and deployed in different organizational settings. Practical implications: The proposed model of organizational change in an emerging economy may assist organizational leadership in designing and sustaining their change efforts. Social implications: This study highlights the role of visionary entrepreneurial leadership and the impact of organizational growth mechanisms on organizational value delivery capabilities and organizational reputation. Originality/value: Lessons and implications of five growth steps of outstanding organizations in an emerging economy context provide valuable insight for organizational change, growth and transformation in other emerging contexts. 2019, Emerald Publishing Limited. -
Managing change, growth and transformation: Case studies of organizations in an emerging economy /
Journal of Management Development, Vol.38, Issue 4, pp. 298-311, ISSN No. 0262-1711. -
Managing Climate Risk in Indian Banking: Regulatory Shifts and Institutional Responses
Climate change is widely discussed as a prominent risk aspect which can pose financial risks to financial entities. The risks may range from physical risks and transition risks and impact can be evident across all the global economies. In India, the banking sector is the most important component of its financial system and is entrusted with managing various financial risks and mobilizing funds for sustainable development. The timely guidance of the Reserve Bank of India (the apex regulatory body) has made Indian Banks factor in climate risk factor into their internal control, risk assessment and disclosure processes. This chapter examines the changing role of risk management practices in Indian Banking Sector, where climate change also has a key role now. This study also focusses on new policies, practices and response of individual banks. The large banks of India have set a path of climate risk management by starting a separate ESG and Climate Finance Unit, laying down an ESG financing framework, and adding climate scenario analysis in its risk assessment. Banks such as HDFC Bank, Yes Bank, Kotak Mahindra Bank, and Federal Bank have also advanced through financed emissions reporting, net-zero commitments, climate stress tests, and coal policy exclusions. In spite of these steps, the overall preparedness of the Indian banking sector is still limited, with most institutions still in the process of defining climate risk strategies. The key issues are availability of data, absence of uniform ESG metrics, and dearth of internal expertise. Institutional responses are compared and explained in this chapter and policy gaps that must be addressed in the short run. Through the presentation of regulatory changes and best practices, it emphasizes the importance of Indian banks moving away from reaction-driven risk management to proactive climate leadership and thus contributing to Indias larger environmental and economic objectives. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Managing coworker conflict: investigating the effect of workplace phubbing and mindfulness on employee deviant and negligent behavior
Purpose: This study aims to examine the influence of workplace phubbing on employee deviant behavior and negligence, while also investigating the mediating role of coworker conflict. Additionally, the study explores the moderating effect of workplace mindfulness on the relationship between workplace phubbing, the mediators and employee deviant behavior and negligence. Design/methodology/approach: Data were gathered from employees in the service sector in the UAE using an online survey questionnaire. A total of 374 participants submitted complete responses. The studys hypotheses were tested through regression-based moderated path analysis, incorporating conditional process modeling and nonlinear bootstrapping. Findings: The study indicates that experiencing phubbing at work contributes to feelings of coworker conflict, which subsequently leads to increased interpersonal deviance and employee negligence. Moreover, workplace mindfulness weakens the positive influence of being phubbed on coworker conflict, interpersonal deviance and employee negligence. Originality/value: To the best of the authors knowledge, no previous studies have examined the negative impact of being phubbed at the individual employee level within the service industry. This study aims to contribute to both theory and practice by elucidating the mediating mechanism of coworker conflict and exploring the moderating effects of workplace mindfulness. 2024, Emerald Publishing Limited. -
Managing Retail Credit Default Risk Using Artificial Intelligence and Machine Learning: Ethical Considerations and Challenges
Credit risk management is an integral aspect of financial stability of financial institutions. The determinants of credit default behavior help in identifying types of credit risk based upon customers habits or actions such as purchasing behavior, spending patterns, social interactions, and moral hazard. The awareness on such behavioral factors helps in getting a complete picture in analyzing the credit worthiness of any individual. The onset of artificial intelligence (AI) and machine learning (ML) has remodeled the methodologies of credit risk assessment. Training and developing learning models to predict the borrowers behavior evolved along with AI and ML, developing advanced mechanisms for managing credit default risks. Using risk modeling to determine behavioral scoring enables the banks to acquire creditworthy retail borrowers, alongside its inherent demerits of the models. This study is focused on the employment of AI and ML techniques along with qualitative determinants in managing credit risk, drawing attention to the advantages and disadvantages and applications and implications for the financial service providers. The paper examines contemporary literature on modern methods of credit risk management and sheds light on the technological accuracy of credit risk calculations and automated decision-making processes alongside methods to alleviate biases. The study also outlines the sequential phases of the conventional models along with the regulatory and ethical considerations of AI-ML-driven credit risk assessment. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. -
Managing stress, traumatic experiences, life skill training, and leading with a purpose
This chapter examines the obstacles encountered by minority women pursuing leadership positions in K-12 education, focusing on the interconnectedness of gender and ethnicity. This work explores the intricate terrain of stress and trauma, examining particular obstacles such as marginalization and microaggressions, thereby emphasizing the necessity for specialized assistance. The chapter delivers valuable insights regarding stress management and purposeful leadership, including Mindfulness, life skill training, tension reduction, professional assistance, mentorship, and peer support. The text highlights the significance of effective stress management in cultivating a supportive educational environment. The text culminates in an appeal for empowerment, emphasizing the capacity of obstacles to be catalysts for change in the direction of inclusivity and diversity for minority women leaders who strive to shape a diverse and progressive future. 2024, IGI Global. All rights reserved. -
Managing with Machines: A Comprehensive Assessment on the Use of Artificial Intelligence in Organizational Perspectives
This complete study, delves into the multifaceted impacts of artificial Intelligence (AI) inside organizational settings, highlighting its ability and demanding situations. The investigation spans numerous aspects along with AI-driven customer relationship management (CRM), employee productivity, and overall performance enhancement thru AI. By analyzing distinct AI applications and methodologies across different organizational functions, this studies presents insights into how AI can transform industries, decorate CRM, improve employee productiveness, and foster sustainable development. Despite the promising programs, the study also addresses the pitfalls and enormous hesitancy in AI adoption due to disasters in some high-profile AI projects. The paper underscores the significance of strategic AI integration, context-consciousness, and the want for organizational readiness to leverage AI's full capability whilst aligning with the Sustainable improvement goals (SDGs). 2024 IEEE. -
Managing workplace diversity: Issues and challenges
Sage Open pp.1-5 DoI No. 10.1177/2158244012444615 -
Managing workplace diversity: Issues and challenges
Diversity management is a process intended to create and maintain a positive work environment where the similarities and differences of individuals are valued. The literature on diversity management has mostly emphasized on organization culture; its impact on diversity openness; human resource management practices; institutional environments and organizational contexts to diversity-related pressures, expectations, requirements, and incentives; perceived practices and organizational outcomes related to managing employee diversity; and several other issues. The current study examines the potential barriers to workplace diversity and suggests strategies to enhance workplace diversity and inclusiveness. It is based on a survey of 300 IT employees. The study concludes that successfully managing diversity can lead to more committed, better satisfied, better performing employees and potentially better financial performance for an organization. The Author(s) 2012. -
Manganese telluride quantum dot decorated 3D printed structures for dye-degradation
The disastrous result of fast industrialization and uncontrolled industrial effluent discharge is the lack of fresh water. Scholars have endeavored to extract water from heavily contaminated industrial effluent by creating several materials capable of effective and environmental friendly treating of tainted water. In the subject of water treatment, three-dimensional (3D) printed complex architecture has shown to be an emerging technique. Recently, nanomaterials have reformed filter technology because of their improved morphological characteristics. The current study explores the uses of two-dimensional (2D) Manganese Telluride (MnTe2) quantum dots (QDs) to decorate the 3D printed architecture for wastewater treatment. The photocatalytic performance of the QDs decorated 3D printed structures was demonstrated through the degradation of organic dyes (methylene blue (MB) and methyl orange (MO) dye) in both dark and light exposure conditions. The coated structures exhibited the ability to adsorb the organic pollutant and clean the contaminated water. We observe ?78 % degradation efficiency for MB and ?48 % for MO in dye concentrations of 10 mg/100 ml. A colorimetric detection method was used for real-time detection of degradation efficacy. The obtained results indicated that QDs decorated 3D printed system can be a significant system for wastewater treatment. 2025 -
Mangrove area classification in Pichavaram using Hyperspectral Imaging and Optimized Channel-Level Residual CNN framework
The Pichavaram mangrove forest in Tamil Nadu is one of Indias most ecologically significant regions, supporting coastal health and local communities. However, effective mangrove area classification remains challenging due to field inaccessibility and inefficiency of traditional assessment methods, highlighting the demand for advanced solutions. As the existing remote sensing-based studies suffer from limited classification accuracy and high computational complexity, this study combined Hyperspectral Image (HSI) with an Optimized Channel Level Residual CNN (OC-LRCNN) model for improved results in mangrove-related research. The proposed model employs unsupervised feature extraction to capture essential patterns with minimal training data while channel-level residual connections enhance discriminative feature selection and reduce spectral redundancy. Utilizing the Pichavaram EO-1 Hyperion and AVIRIS-NG datasets, the proposed model is compared with traditional CNN, state-of-the-art deep learning architectures (VGG, ResNet, DenseNet) and machine learning methods like SVM and RF. The OC-LRCNN achieved classification accuracies of 98.2% and 99.0% for the Hyperion and AVIRIS-NG datasets with consistently high precision, recall, F1-score and kappa values. These findings demonstrate the models effectiveness in reliable mangrove classification and monitoring applications. The Author(s), under exclusive licence to Springer Nature B.V. 2026. -
Manipur: the British legacy
[No abstract available] -
Manta Ray Foraging Optimizer with Deep Learning based Malicious Activity Detection for Privacy Protection in Social Networks
Malicious activity detection is a vital component of ensuring privacy protection in social media networks. As users engage in online interactions, protecting their sensitive information becomes paramount. Social networks can proactively identify and mitigate malicious behaviors, such as cyberbullying, data breaches, and phishing attacks by applying advanced AI and machine learning (ML) technologies. This detection system analyzes user behavior patterns, content, and network traffic to flag suspicious activities, thus safeguarding user privacy and fostering a safer online environment. The incorporation of robust malicious activity detection mechanisms helps maintain trust in social networks and reinforces the commitment to preserving user privacy in an increasingly interconnected digital landscape. This article introduces a novel Manta Ray Foraging Optimizer with Deep Learning based Malicious Activity Detection (MRFODLMAD) technique for privacy protection in social networks. The drive of the MRFODL-MAD technique is to detect and classify malicious activities in the social network. To accomplish this, the MRFODL-MAD technique preprocesses the input data. For malicious activity detection, the MRFODL-MAD technique employs long short term memory (LSTM) system. The MRFO algorithm has been executed to hyperparameter tuning process to improve the performance of the LSTM network. The experimental outcomes of the MRFODL-MAD algorithm can be tested on social networking database and the results inferred the improved performance of the MRFODL-MAD algorithm under various different measures. 2023 IEEE. -
Mapping Barriers to Net Zero in Quick Commerce A Fuzzy DEMATEL Approach
The fast-paced growth of q-commerce platforms has radically changed the shopping arena to deliver consumers unparalleled convenience. However, this speedy delivery poses significant challenges to achieving net-zero emissions, essentially due to inefficiencies in logistics and high energy usage. This research applies the Fuzzy DEMATEL approach to explain and analyze the barriers to sustainability in q-commerce by uncovering interconnections between factors. The findings showed that the primary logistical inefficiency is preceded by high energy usage and sustainable packaging as significant drivers. Other evaluated factors, though with lower scores, are regulatory challenges and consumer awareness. The mitigation of logistical inefficiencies can serve to greatly improve routing and resource management in such a way as to bring significant decreases in carbon footprint. Also, by augmenting consumer awareness for more sustainable practices, one creates an increasing demand for alternative choices, hence giving way to positive feedback that may help drive companies toward adopting even more sustainable approaches. From a policy perspective, the results indicate that regulatory frameworks should support investments in green infrastructure and technologies by engaging the different stakeholders, including businesses, consumers, and governmental entities, in a common strategy toward sustainability. While the present research supplies important insights into the challenges with which q-commerce is confronted while achieving net-zero emissions, it recognizes some constraints, such as potential biases due to expert judgments and the dynamic character of the business. The following studies would include more stakeholders and variables influencing sustainability and broaden the scope. Through addressing these barriers as a collective, the q-commerce industry can move toward achieving its net-zero dreams while advancing broader environmental goals for a greener world. 2026 selection and editorial matter, Siddhartha Roy, Soumya Sen, and Agostino Cortesi; individual chapters, the contributors. -
Mapping Cyclone and Flood Hazard Vulnerability in Puri District, Odisha, India, Using Geoinformatics
India is vulnerable to many natural and human-made disasters due to its unique geo-climatic and socio-economic conditions. This paper focuses on natural disasters; such as cyclones and floods in the Puri district in the Indian state of Odisha. In this study, a number of floods and cyclones that occurred in the district were identified. The thematic maps of the influencing factors such as soil type, flood and cyclone vulnerability, elevation, and 2020 land cover were created using ArcGIS 10.3. Thereafter, the weighted overlay method was adopted based on analytical hierarchy process (AHP) to map the overall vulnerability of the district. The results derived from this study exhibited that the district is highly vulnerable to floods and cyclones. Finally, strategies were recommended for hazard risk reduction covering enhancing awareness towards hazards, improving early warning systems, establishing better communication between various stakeholders, and strengthening environmental protection and disaster risk reduction. Furthermore, measures for mitigation such as creating shelters, post-disaster rehabilitation, better and improved health facilities, incorporating green infrastructure at critical locations, relying on nature-based measures, execution of mangrove plantation along the coastal belt of the district, creating barriers or dykes to prevent water tides, and plummeting leachate due to improper waste disposal near the coast are suggested. The analysis and mapping of hazard vulnerability can act as a reference for urban planners and policymakers to promote Sustainable Development Goal (SDG) number 11 which is sustainable cities and communities. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Mapping extinction using GALEX and SDSS photometric observations
The primary objective of this work is to create an all sky extinction map of the Milky Way galaxy. We have cross-matched the Sloan Digital Sky Survey (SDSS data release 8) photometric observations with that of Galaxy Evolution Explorer (GALEX data release 6). This provides a wide range of wavelength coverage from Far Ultra-Violet through the optical spectrum and gives one unique SDSS source for every GALEX source. We discuss a sample of ?32000 objects in the north galactic pole (?75 latitude) from this combined database. The Castelli and Kurucz Atlas was fit to the photometric observations of each star, best fit being determined using a chi-square test. Best fit parameters provide the spectral type and extinction towards each of the objects. The shift in magnitude obtained during the best-fit can be used to determine the distance to each of the stars. With this data, a comprehensive extinction map can be made for the high-latitude objects and later extended to all-sky. 2013 AIP Publishing LLC. -
Mapping Fire, Earthquake and Bio-hazard in Delhi: A Micro-level Study
Delhi, being Indias capital territory, is a massive metropolitan area that is extremely vulnerable to various types of disasters because of the widely spread built-up area that houses the population from all over the country. Delhi lies in Seismic Zone IV14, which makes the area sensitive to disasters. Another major problem that Delhi is currently facing is of proper garbage disposal, since the density of the population is high, tons of waste is generated. A fair share of the waste generated also includes biomedical waste. Delhi generates more biomedical waste than it can process. The area chosen for the present study is Chirag Delhi and Sheikh Sarai, located in south Delhi. This area is urbanized, and a home to a large number of people. The area is populated, poorly managed and highly vulnerable to disasters. The study area also has two colleges situated near the residential area because of which the area is subjected to a lot of traffic jam. The purpose of choosing this area for this study is its vulnerability to disasters like fire, earthquake and biohazard. The study area has pockets with high rise buildings or ill-designed high-risk areas without specific consideration for earthquake resistance. Moreover, the area lacks proper waste management. It has been identified that the area is a highly vulnerable place when it comes to hazards like fire, earthquake and biohazards. The people living there are in a constant threat for their lives. One of the major problems is that the community lacks dedication and determination, which has been tested through a schedule and observation method, to change their circumstances and bring about a change in the area that would benefit them and their families. The Editor(s)(ifapplicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.