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Psychological safety and employee development: the role of energy at work in strengthening job embeddedness in Indian luxury hotels
Purpose This study aims to investigate how psychological safety impacts the levels of energy felt at work, and vice versa, whether energy acts as a mediator between psychological safety and the multiple dimensions of job embeddedness that include organizational, community fit, sacrifice and link. Design/methodology/approach The data had been gathered from 458 hotel employees with the help of a structured questionnaire consisting of established scales of psychological safety and energy at work and, additionally, job embeddedness. A set of statistical analyses, including confirmatory factor analysis and hypothesis testing, were used to test the validity and reliability of the measurement model. Findings The findings affect training and development practices in the hospitality industry. This is especially true for leadership development, resilience training and learning programs that promote psychological safety and help keep employees for the long term. Originality/value This study contributes to the existing literature by providing important information about the psychological and energetic factors that impact job embeddedness, which would contribute to enhanced employee satisfaction and organizational effectiveness in the hospitality industry. 2026 Emerald Publishing Limited -
Mindfulness and Energy at Work Among Frontline Restaurant Employees
This study examines the correlation between mindfulness and energy in work among frontline restaurant staff in Bengaluru, India. The paper presents theoretical underpinnings related to mindfulness and energy in work, methodology, and some key findings. Through a convenience sampling method, 222 frontline employees working in top-rated fine dining specialty restaurants in Bengaluru were surveyed. The level of mindfulness was measured with the 15-item Five Facet Mindfulness Questionnaire (FFMQ) and energy at work by the 14-item Relational Energy Scale. The analysis of data used Pearsons correlation and regression in order to check the relations and causations, complemented by ANOVA and t-tests for the demographic differences. The study results indicated a statistically significant low positive correlation between mindfulness and energy at work (r = 0.337, p < 0.001). Regression analysis revealed that mindfulness predicts 11.4% of the variability in energy at work. Significant demographic influences include marital status on mindfulness and industry experience on energy levels. The findings indicate that developing mindfulness will increase employees energy and well-being, leading to improved organizational outcomes. Recommendations are provided for specific HR strategies that can integrate mindfulness practices into routine workplace routines. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
A Study on emotional labour and job embeddedness amongst the frontline employees in hotel industry in bangalore
In various studies, researchers have pointed out that there exists a high turnover in the hotel industry. It is also found that employees in the hotel industry practice high emotional labor. However, the researcher, wanted to understand if people leave the industry or the organisation and how emotional labor plays positively in this phenomena. It was also curious to understand if Pride in work and Social Intelligence plays a role between Emotional Labor and Job newlineEmbeddedness. The present study investigated the emotional labor along with pride in work and social intelligence, experienced by employees of different hotels as a factor affecting their Job Embeddedness. A descriptive study was conducted using self-administered questionnaires among 341 frontline employees of different five-star and five-star deluxe hotels of Bangalore. newlineThe results exhibited a significant impact of Emotional Labor, Pride-in-Work, Social Intelligence on Job Embeddedness as well as significant differences in perceptions of variables based on demographic factors of the employees. The implications and suggestions for the hotel industry were discussed in the study. -
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Evaluating the Effectiveness of a Facial Recognition-Based Attendance Management System in a Real-World Setting
Face recognition technology has been extensively used in multiple verticals of security, surveillance, and human-computer interaction. Conventional techniques including manual sign-ins, identity cards, or biometric verification have been used by traditional attendance systems. Face recognition systems have, however, become a popular way to track attendance, thanks to developments in computer vision and machine learning. The construction of an attendance registration application is the main topic of this research study, which also offers a thorough overview of facial recognition attendance systems. This study seeks to provide light on the benefits, drawbacks, and potential applications of these fast-developing technologies. Face recognition technology may be integrated into attendance systems to increase productivity, accuracy, and user comfort. However, issues like privacy worries and technological constraints must be resolved. With predicted future improvements in machine learning algorithms and hardware capabilities, face recognition attendance systems look to have a bright future. This research article adds to a deeper understanding and successful application of facial recognition technology in attendance systems by examining these features. 2023 IEEE. -
Automatic Skin Lesion SegmentationA Novel Approach of Lesion Filling through Pixel Path
Abstract: Lesion segmentation is a vital step in a melanoma recognition system. Many algorithms were developed for the efficient skin lesion segmentation. Most of them fails to realize a perfect segmentation. This paper proposes a novel, fully automatic system, for the lesion segmentation in dermatograms. The proposed approach executes in two steps. Selection of root seed is the first step. All the lesion pixels in the dermatogram are identified during the second step. Traversal through a predefined lesion pixel path ensures the reachability of all lesion pixels irrespective of the possible lesion discontinuity. The proposed algorithm is tested with two publically available dataset, PH2 and images of ISBI2016 challenge. Out of the six evaluation parameters, the proposed method shows the best values for specificity, accuracy, Hammuode distance and XOR. This confirms the merit of the proposal with respect to existing popular methods. 2020, Pleiades Publishing, Ltd. -
Directional Vector-Based Skin Lesion Segmentation - A Novel Approach to Skin Segmentation
Efficient skin lesion segmentation algorithms are required for computer aided diagnosis of skin cancer. Several algorithms were proposed for skin lesion segmentation. The existing algorithms are short of achieving ideal performance. In this paper, a novel semi-automatic segmentation algorithm is proposed. The fare concept of the proposed is 8-directional search based on threshold for lesion pixel, starting from a user provided seed point. The proposed approach is tested on 200 images from PH2 and 900 images from ISBI 2016 datasets. In comparison to a chosen set of algorithms, the proposed approach gives high accuracy and specificity values. A significant advantage of the proposed method is the ability to deal with discontinuities in the lesion. 2020 World Scientific Publishing Company. -
Despeckling of Ultra sound Images using spatial filters - A Fusion Approach
Ultra sound images are normally affected by speckle noise which is typically multiplicative in nature. This study proposes different fusion based despeckling methods for ultra sound images. The output of existing spatial domain despeckling methods viz. Lee filter, Bayesian Non Local Means (BNLM) filter and Frost filter are fused pairwise. Fusion is implemented in two steps, first an inter-scale stationary wavelet coefficient fusion followed by an intra-scale wavelet coefficient fusion. Analysis of these projected despeckling strategies are conducted using metrics like Peak Signal to Noise Ratio (PSNR), Equivalent Number of Looks (ENL), Structural Similarity Index (SSIM) and Universal Image Quality Index (UIQI). The results show that the performance of fusion based methods is better than the respective individual filters for despeckling ultra sound images. 2019 IEEE. -
Copper oxide modified biphasic titania for enhanced hydrogen production through photocatalytic water splitting
Recently, TiO2(B) has been extensively used in catalytic and energy fields owing to its exceptional crystal structure. But being a metastable state, TiO2(B) is transformed easily into other stable crystalline forms like anatase or rutile phase, and the low crystallinity limits the application of the material in catalysis. A combination of TiO2(B) with anatase, which is benefitted by a homojunction, is proven to be blessed with high activity. Herein, hydrogen production via photocatalytic water-splitting is presented using Cu modified biphasic titania nanotubes achieved by a facile hydrothermal procedure. The systems are well characterized using SEM, TEM, XRD analysis, N2 adsorption study, FTIR, DR-UV, Raman, Photoluminescence, and X-ray photoelectron spectral analysis. The homo-junction developed in titania due to anatase TiO2 (B), as well as the heterojunction created by the co-catalyst, tune the photocatalytic activity of TiO2 nanotubes positively, as evident from the enhanced hydrogen production over the system. 2023 -
Potential, prospects, and problems of textile tourism in Kerala
Tourism in the textile industry has tremendous potential for future growth and development of local economies and rural communities, building upon the services provided by local governments. This study focuses on Khadi textile business operations, with a particular emphasis on textile-based businesses, and provides visitor perceptions of textile tourism. It discusses the possibilities and challenges in the local textile industry, including the dificulties faced by the weavers in marketing their goods to tourists and exporters. The questionnaire survey applied to 120 visitors from three different khadi shops in Kozhikode, Kerala. According to the study's findings, textile business centres require strategic promotional approaches to boost textile tourism. The major hurdle for weavers and independent producers is a lack of direct access to visitors, as well as access to information controlled by producers, commercial interests, and gallery owners. more in the future to expand the reach of this type of tourism. The potential role that the government and tourism authorities may play an important role in designing policies that may grant this form of tourism increased visibility. 2022, Universidade de Aveiro. All rights reserved. -
Textile tourism and the challenges of the indigenous handloom sector in Northern Kerala
This study investigates the functioning of indigenous handloom enterprises and their relationship with textile tourism. It also explores the regional textile industry and the challenges weavers encounter in promoting their goods to visitors and exporters. Data was collected using a purposive sampling method, and a structured questionnaire was administered to 120 weavers from four textile weaving centers in Kozhikode, Kerala. The most significant obstacle for weavers and independent producers is the lack of direct communication with customers and the limited access to information provided by manufacturers, corporations, and gallery owners. Firstly, handcrafted items are becoming more accessible and affordable; secondly, the interest of the younger generation is gradually fading, which reduces the number of skilled professionals. The result of this study provides insight into how Khadi Textiles has the potential to contribute positively to socioeconomic achievements and enhance weaver's and destination image. 2024, IGI Global. All rights reserved. -
Experience and Agency of Children with Intellectual Disabilities in Schools : An Ethnographic Study in Haryana, India
India currently has more than 24 million children within the age group of 0-18 years experiencing some form of disability. Among them, India has the highest population of children at risk of developmental disabilities (UNICEF, 2011). However, there is a significant dearth of knowledge regarding their lived experiences. Surprisingly, qualitative understandings of the lives of children with intellectual disabilities within their school environments are lacking in India. Thus, this research aims to fill this gap by focusing on comprehending the lived experiences and agency of these children within their schools, families, and neighborhoods. Recognizing them as social agents has the potential to challenge the marginalized status often attributed to them. The objective of this research was to understand the lived experiences of children with intellectual disabilities across various school setups, including government schools, private schools, and mainstream schools. Furthermore, it seeks to understand the values and perspectives of the schools, school authorities and teachers, and the manner in which children with intellectual disabilities employ their agency in their day- to-day lives within different educational structures. Ethnographic research was, therefore, conducted in four government schools, two private schools and two special schools in Karnal district, Haryana, India. Haryana was chosen due to the existence of previous research on the cultural understanding of disability in the state. A total of 25 children with intellectual disabilities and 44 school teachers were interviewed and observed. Classroom observations and shadowing also served as important methods of data collection. The findings reveal that policies, school structures and processes, as well as teachers' practices and attitudes, continue to perpetuate exclusionary practices for children with intellectual disabilities. The notion of "inclusive schooling" remains superficial within the Indian context. However, within these exclusionary systems and processes, a diverse range of differences were noted in terms of the experiences, beliefs, and preferences of children. These differences are influenced by a complex interplay of their social environment (school and home), cultural norms and personal attributes. Academic aspirations and experiences of personal friendship emerged as dynamic and intricate aspects of their lives. Evaluating these elements presents challenges as children's academic achievements and friendships are continually evolving, forming, and dissolving. Data analysis also demonstrates that children with intellectual disabilities not only actively construct meanings but also possess an awareness of the cultural context in which they exist. Their interactions with others, including the researcher, were heavily influenced by these cultural contexts. Their actions contribute differently to social and relational networks, depending on the barriers they encounter within each institution. The performativity of their agency was explored through an understanding of their "silences," which proved to be an essential element in analyzing their agency.Additionally, their agency was examined through their utilization of digital technologies which was actively used by children to maintain friendships with old friends, to develop new friendships and for entertainment purposes. This research, therefore, aims to integrate the notions of agency, culture, and structure in order to gain a comprehensive understanding of the experiences of children with intellectual disabilities in various educational environments in an Indian state. -
The Future Warfare with Multidomain Applications of Artificial Intelligence: Research Perspective
We live in a period when historical fiction has become current reality. With our future being automated, using AI on a daily basis will only get more convenient. Making military weapons to detect, monitor, and engage a human being with attacks may all be done in the privacy of one's own garden. There is a plethora of AI software out there that can be readily integrated into combat weapons. The automobile industry is already incorporating AI into vehicles to assess driving circumstances and give augmented reality to drivers via heads-up displays in order to assist avert accidents. Similarly, artificial intelligence will be utilized to study the battlefield and give soldiers with augmented reality information via heads-up displays and weapon control systems. Since AI is not a single technology, it has been argued that it might be used by the military in a variety of ways. Intelligence, surveillance, and reconnaissance (ISR) activities, as well as processing and interpreting sensor data and geographic imaging analysis, are all examples of AI. Artificial intelligence has the potential to reduce human involvement in conflict, whether it is employed for combat robots or data analysis. AI has the potential to profoundly alter the nature of war. The article mainly focussed on warfare technologies and applications. The main aim of this review is to understand the current applications being used in armed forces and proposed technologies of artificial intelligence. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Pattern Identification and Recommender System Based on Skin Undertone in ApparelA Deep Learning Approach
The fashion industry has undergone significant transformations driven by technological advancements, shifting consumer preferences, and the rise of e-commerce. Traditional retail models have been disrupted, giving consumers unprecedented access to information and options, making personalization crucial for success. The industry has also embraced inclusivity, offering diverse clothing lines that cater to various body types, skin tones, and cultural backgrounds. Technology plays a pivotal role in this evolution, enhancing design, manufacturing, marketing, and sustainability practices. Despite these advancements, existing recommendation systems often overlook individual characteristics such as skin undertones and pattern preferences, as well as the dynamic nature of fashion trends. This study aims to address these limitations by developing a novel AI-powered recommendation system that integrates personalized factors with real-time fashion trends. The proposed system will analyze customer data, including browsing history, social media activity, and purchases, to provide accurate and tailored fashion suggestions. By incorporating individual traits and the latest trends, the research seeks to create a more effective and responsive recommendation engine, ultimately enhancing the consumer shopping experience and helping fashion brands stay competitive in a rapidly evolving market. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Isolation, Characterization and Evaluation of Potential Plant Growth-Promoting Bacteria From The Rhizosphere of Coffea arabica L. From Kodagu District, Karnataka
Agriculture is fundamental to food security and economic stability. The utilisation of newlineplant growth-promoting rhizobacteria (PGPR) an eco-friendly alternative to chemical newlinefertilisers is particularly promising as these microorganisms enhance nutrient newlineavailability, stimulate plant growth, and improve resistance to biotic and abiotic newlinestresses. This study aimed to isolate and characterise PGPR from the rhizosphere of newlineCoffea arabica L. in the Kodagu District of Karnataka, focusing on their potential as newlinebiofertilizers. Soil samples collected from ten different locations within Kamath Coffee newlineEstate led to the isolation of fourteen distinct bacterial colonies, labelled NJ01 to NJ14. These isolates were evaluated for various plant growth-promoting (PGP) traits like indole-3-acetic acid (IAA) siderophore and ammonia production, nitrogen fixation, newlinephosphate, and zinc solubilization and hydrogen cyanide (HCN) production. Further newlinestudies were carried out using 3 isolates with significant PGP traits. Enzyme activity newlineassays indicated that NJ01, NJ04, and NJ14 had positive results for protease, cellulase, newlineamylase, and catalase activity. These strains also displayed varying degrees of newlinehalotolerance, with NJ01, NJ04 and NJ14 tolerating up to 8%, 10% and 11% NaCl, newlinerespectively. Heavy metal tolerance tests revealed that NJ01 tolerated Pb up to 250 newlineg/mL, NJ04 tolerated Pb up to 1500 g/mL and Cd up to 50 g/mL, and NJ14 tolerated Pb up to 1000 g/mL and Hg up to 100 g/mL. Polyhydroxyalkanoate (PHA) production was confirmed in all isolates, with NJ01 yielding the highest amount (6.4 g/L). The isolates exhibited significant antifungal and the 16S rRNA sequencing identified NJ01 as Bacillus albus (OP784795), NJ04 as Bacillus licheniformis (OM780221), and NJ14 as Bacillus subtilis (OM780222). A consortium was prepared after confirming the plant growth promoting abilities of these PGPR strains by carrying out an initial plant growth studies. The optimisation of media parameters was by using a two-factor interaction model. -
Leadership for Digital Transformation
The chapter explores the critical role of leadership in navigating the complexities of digital transformation, emphasizing the integration of technology, culture, and strategy to drive sustainable organizational change. Through comprehensive case studies, it highlights successful transformation journeys at Microsoft, Tesla, and Walmart, alongside challenges faced by organizations like General Electric. The discussion delves into frameworks such as Transformational Leadership Theory, Agile methodologies, and Digital Maturity Models, underscoring their importance in fostering adaptability, innovation, and inclusivity. Key themes include addressing resistance to change, bridging digital skills gaps, and embedding ethical practices in leadership strategies. The chapter concludes by providing actionable recommenda- tions for future leaders to harness emerging technologies, balance innovation with sustainability, and build resilient organizations in an interconnected global economy. 2025 by IGI Global Scientific Publishing. All rights reserved. -
FUZZY SEMI-ESSENTIAL SUBMODULES AND FUZZY SEMI-CLOSED SUBMODULES
In this paper, we prove some properties of fuzzy semi-essential submodules and fuzzy semi-closed submodules I??k University, Department of Mathematics, 2023; all rights reserved -
Enhancing the stability of DSSC by Co-activation of microwave synthesized TiO2 with biomass derived carbon dots
Dye-sensitized solar cells (DSSCs) that utilize natural dyes have garnered interest due to their low cost, eco-friendly manufacturing process, and competitive photovoltaic performance. However, their efficiency and stability issues have hindered their widespread implementation. To enhance their performance, this paper proposes a novel approach of modifying the photoanode with carbon dots (CDs) to align the band gap for easier carrier collection. The material properties were thoroughly characterized by examining their structural, morphological, optical, and electrical properties. In this study, titanium dioxide (TiO2) was synthesized using the microwave-assisted solvothermal method, while nitrogen-doped CDs derived from Citrus medica fruit juice were prepared using a simple hydrothermal treatment. Three sets of Natural Dye Sensitized Solar Cells (NDSSC) devices were created using co-activated photoanode (CD/TiO2) and unmodified photoanode (TiO2) with Platisol T/sp coated ITO serving as the counter electrode. Hibiscus (Hibiscus rosa-sinensis) and Onion (Allium cepa) peel extracts were utilized as sensitizers and Iodolyte HI-30 as the electrolyte. The most efficient device attained an efficiency of 3.5 % with Voc = 0.81 V and Jsc = 6.57 mA/cm2. This marks the highest efficiency reported using Hibiscus as a sensitizer with the current configuration, accompanied by prolonged device stability. This study showcases the potential of Citrus medica-derived nitrogen-doped CDs in achieving durable device stability. 2024 Elsevier B.V. -
Performance of DSSC with green synthesized and thermodynamically sintered Bi-phase TiO2 with various sensitizers
The production of green and clean energy in the current era is heavily reliant on light harvesting through the use of solar cells. A successful fabrication of any of the components of Dye-sensitized solar cells (DSSC) through an easy, environmental, and economic-friendly method would be an added advantage in promoting the production of green and clean energy. With this in mind, this paper highlights the green synthesis of materials for the preparation of photo-anodes as well as sensitizers. Apart from the routine synthesis method, this paper presents a new perspective that enhances inter-particle connections by providing an optimum calcination temperature (thermodynamic sintering) during the preparation procedure. The best calcination temperature for the preparation of photo-anode material is initially optimized by comparing the device output performance between synthetic and natural dyes. Further improvement in device performance is achieved through TiCl4 (Titanium tetrachloride) post-annealing treatment on the optimized photo-anodes. The improvement in performance of these optimized photo-anodes is checked and confirmed with different natural, synthetic, and cocktail sensitizers. The best natural dye-sensitized solar cell (NDSSC) device showed an efficiency of 4.65 % and the dye-sensitized solar cell (DSSC) device showed an efficiency of 5.78 %. This confirms the suitability of these green-synthesized TiO2 nanopowders as a promising material for photo-anode preparation that could work well for both NDSSC and DSSC. 2024 Elsevier B.V.