Browse Items (16488 total)
Sort by:
-
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 individual and orgnizational challenges with respect to diversity perceptions and social capital among members of virtual teams,
Diversity encompasses complex differences and similarities in perspectives, identities, and points of view among members of an institution as well as among individuals who make up the wider community. Diversity includes important and interrelated dimensions of human identity such as race, ethnicity, gender, gender identity and newlineexpression, socio-economic status, nationality, citizenship, religion, newlinesexual orientation, ability and age. These differences are important to understand but they cannot be used to predict any individual s values, choices or responses. Organizations with diverse employees are better suited to serve diverse external customers in an increasingly global market. Such organizations have a better understanding of the requirements of the legal, political, social, economic, and cultural environments. Organizations that manage diversity are recipients of more commitment, and better satisfied as well newlineas better performing employees (Patrick and Kumar,2012). newlineEnsuring better social relations among team members has become complex. The nature of teams is not how they used to be, organizations have spread across geographically which has led to the birth of virtual teams. Virtual team members are been separated by time and space this makes it even more difficult to ensure that social capital is being maintained among virtual team members, as only when there is a trust, newlinereciprocity and cooperation among virtual team members they will be better connected individuals who obtain greater advantages, this ensures that groups and organizations improve performance and obtain sustainable competitive advantage (Tsai and Ghoshal, 1998). newlineThe present investigation was focused on understanding the perception of members of virtual teams towards diversity at workplace. newlineThis study newlineassists us to find out how virtual team members can overcome Individual newlineand Organizational Challenges towards diversity and to find out the social newlinerelations among virtual team members, how much trust exists among them. -
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 Sustainability in Perishable Food Supply Chains : A Case of Mango From Farm-to-Table
This research explores the significant role of India in the global food production sector, with a specific focus on perishable goods. It examines how this sector contributes to rural income and overall economic growth, while also addressing issues like post-harvest losses and inefficiencies in the perishable sector. The study highlights the necessity of a sustainable and efficient perishable sector for the progression of the Indian economy. By utilizing insights from resource-based view theory, stakeholders theory and systems theory, the research delves into the challenges and opportunities present in India's perishable food supply chain, emphasizing the crucial role of farmers in ensuring quality and effectiveness in India. Additionally, the study explores the broader context of Indian agriculture, with a specific focus on the perishable and horticulture sectors, their economic importance, and challenges such as post-harvest losses and the impacts of climate change. The research advocates for a strategic collaborative approach involving governments, businesses and communities to secure the sustainability and resilience of the perishable food supply chain in light of current and future challenges. The existing literature on the perishable food supply chain is evaluated to find the research gaps. This evaluation is conducted through a bibliometric analysis, shedding light on areas that have been neglected or inadequately explored in prior research. The identified gaps serve as the foundation for the research objectives of the study, aiming to fill these voids with fresh insights and discoveries. To establish the groundwork for the investigation, this research also initiates an in-depth discourse on each hypothesis, ensuring that the research design presented is both transparent and logical. The ultimate objective is to enhance comprehension of the perishable foodsupply chain, paving the way for future studies to build upon this foundational work. Then the research seeks to elucidate the research methods utilized to meticulously validate the researchmodel, employing stringent techniques and measures to guarantee the integrity and dependability of the findings. This framework aims to encapsulate the entire research process succinctly, from its fundamental objectives to the eventual implications of its findings, guiding readers through the investigative journey undertaken in the study. To achieve these objectives, a research model is presented that examines the interrelationships between quality, efficiency, sustainability and technological capabilities within the perishable food supply chain. The research methodology employed in this study combines both quantitative and qualitative techniques. It encompasses a detailed description of the sampling procedure and data collection methods, including the utilization of probability sampling techniques and surveys. Furthermore, the statistical tools and techniques employed in the study is Partial Least Square Structural Equation Modelling (PLS-SEM). The study formulates a comprehensive model that takes into account quality, efficiency and sustainability within the perishable food supply chain, with a specific focus on the moderating impact of technological capabilities. It identifiespositive connections between quality and sustainability, efficiency and sustainability, as well as the combined influence of quality and efficiency on sustainability. Technological capabilities are revealed to bolster these connections, underscoring the significance of circularity in the supply chain to minimize waste and align with sustainability objectives. The research concludes by providing insights on the challenges and prospective pathways towards more sustainable, efficient, and quality-driven practices in the perishable sector, particularly in light of technological advancements and the global trend towards circularity. -
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 Cityscapes : Interrogating the Cultural Spaces in the Select Novels of Bapsi Sidhwa
Bapsi Sidhwa (1939) a well-known Pakistani Zoroastrian novelist in English offers the cityscapes of Lahore that provide the settings for her fictional works. The select newlinenovels for the study include The Crow Eaters (1978), The Pakistani Bride (1983), IceCandy Man (1988) and An American Brat (1993). Fascinated by the cityscapes of Lahore, the novelist personalizes the cityscapes and the personalized cityscapes are fictionalized. The novelist is aided by imagination. However, the imagined cityscapes in the select novels become illegible with a growing sense of alienation from the city. The cityscapes are cityspaces that are shape shifting. The metaphorical cityscapes in newlinethe select novels are woven with imagination, memory and nostalgia. The thesis examines the fictional representation of the cityscapes of Lahore and the relationship between the novelist and the imagined cityscapes. The study adopts the method of qualitative textual analysis in an attempt to examine the cityscapes. This illumines the in-between status of the cityscapes connecting the factual and fictional images of the city. The study unveils a layered construction of heterogeneous cityscapes which are selective and subjective. The urban cultural spaces are interrogated through the fictional characters who experience the city like fleurs and contribute to the making of the spatial stories. The acts of walking in the city offer knowledge of the city which enables the fictional characters to attain self-awareness. The awareness helps in achieving autonomy in the movements of the fictional characters. However, only a few fictional characters are perfect fleurs and the others view the city as voyeurs. Since the imagined cityscapes of Lahore are guided by the sense of place, the legibility of the cityscapes declines with the acts of alienation from the city. However, the novelist attempts to recover the palimpsest cityscapes from memory through cognitive mapping. -
-
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.