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Determinants of consumer retention strategies for telecom service industry in Central India
The telecommunication industry has witnessed a tremendous growth in recent times in India. It has not only been limited to voice calls, but also integrated into every aspect of human life. This has resulted in the rapid rise of market players, offering innovative products and services. In this changing scenario, we have tried to design and check a model of various factors such as loyalty, satisfaction and switching barriers (customer relationship management, alternative attractiveness and switching cost) influencing consumer retention strategies in Indian telecom service industry. A structured and undisguised questionnaire and a convenient sampling method have been used to collect the data from respondents from three most populous cities (Indore, Bhopal, and Ujjain) of Central India. Around 450 questionnaires were distributed, out of which 318 usable responses were received for final analysis. The instrument was checked for validity and reliability before the data was analyzed. The hypotheses were tested through Structure Equation Modelling (SEM) for direct effect, and Multiple Moderating Regression Analysis (MMRA) for moderating effect. The results suggested that loyalty, satisfaction, switching barriers and customer relationship management are positively related and have a direct influence on consumer retention, but the relationship with alternative attractiveness has been found weak. Switching cost, as moderating variable, was found to be very effective and showed significant deviation in the relationship between independent and dependent variables. Vinod Sharma, Sunny Joseph, Jeanne Poulose, 2018 -
Study of the personal factors influencing voluntary turnover amongst women
In a country where the economic and social independence of a woman is dependent on the way households are structured and organised, the rise in their education and decline in their workforce participation rate is an indication of their paradoxical situation. In this study we evaluate the direct effect of the factors in the personal domain of women on her career break decision. The data from 402 Indian women was analysed using Exploratory Factor Analysis and Confirmatory Factor Analysis, which was then followed by Structural Equation Modelling to check the conceptual model developed through literature review. In present study support personal predictors to turnover intention outcome model, confirming the influence of role conflict, role expectation, role perception, stress, financial soundness, role overload and guilt. Role perception and expectation of women were most significant factors influencing turnover intention of women, implying that the most important change needed is for a change in their own mindset and those around them to arrest their exit from the workforce. 2021 Ecological Society of India. All rights reserved. -
"On the same page, but in different books?" exploring pedagogical beliefs of various stakeholders in management education
The declining MBA enrolment numbers and campus placements are indicators of an alarming situation in India. The key stakeholders comprising of teachers, students, and corporates desire the same outcome, which is students with high employability. This implies everyone is on the same page, but the falling salary packages and rising unemployment make one wonder if this page is from a different book for each stakeholder? Through this study, we tried to bring in more clarity on the perception of the stakeholders in such B-schools regarding their choice of pedagogy to be employed. Drawing on the body of literature and peer group discussions, this study identified 15 pedagogical methods employed in higher education. Thus, to explore the preferred pedagogy, an exploratory research was designed and owing to the categorical nature of the data collected over a seven-month period, correspondence analysis was applied. Data analysis confirmed the existence of a huge perceptual gap amongst the stakeholders about the appropriate pedagogy to be used in management education. Student engagement and application based learning emerged as the two most important dimensions of pedagogy in this study. The results and findings can be extended further to understand causes for this perceptual gap and identify measures to bridge the same to ensure that these B - schools yield job ready students resulting in MBA regaining its lost glory. 2019, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
Influence of family-work conflict on career break decision among Indian women: when family ties, tie you down!
The study is an attempt to understand the influence of the constructs in the family domain on the career break decision of women employed in the service sector in India a country facing a conundrum of rising female literacy and falling workforce participation. This study proposes a model that explores the direct and indirect relationship between the antecedents of family-work conflict and intention to quit. Data from a sample of 346 women, who had experienced career-break in service sector, was collected through purposive sampling. The researchers probed the relationship between family-work-conflict and intention to quit and mediating influence of job and life satisfaction. Hypotheses were tested though structural equation modelling. Results confirmed that role-overload and gender-stereotyped beliefs were found to be the most significant constructs. Job satisfaction came across as having mediating effect. Stakeholders need to facilitate a path that permits her to continue to nurture her family without having to give up her dreams. 2024 Inderscience Enterprises Ltd. -
Exploring the mediating role of job and life satisfaction between workfamily conflict, familywork conflict and turnover intention
Purpose: This study investigates the influence of work-to-family and family-to-work conflict on turnover intention (career break), mediated through job and life satisfaction among Indian women in the service sector, using role conflict theory as the base. Design/methodology/approach: A total of 421 usable responses from women who had taken a career break were collected using a 36-item scale from six major metro cities in India through social and digital media platforms. A purposive-cum-snowballing sampling method was adopted. The hypotheses were tested using structural equation modeling (SEM) through AMOS. Findings: Findings suggest that job satisfaction (JS) is a significant predictor of turnover intention, both when work spills into the family domain, and family responsibilities spill into the work domain, thereby confirming the mediating influence of JS. Interestingly, life satisfaction (LS) only seems to mediate between inter-domain conflict and turnover intention partially. Research limitations/implications: This is a descriptive study, and is thereby limited in terms of its generalizability, specifically as it included respondents only from six major metro cities in India. Practical implications: The extended work-family conflict model could help managers structure organizational interventions that support women to deal with the challenges of managing the demands of both work and family domains, thereby reducing the negative influence on JS. Such initiatives could help reduce career breaks among women. Originality/value: We explored the cause of career breaks among Indian urban women employed in the service sector, using the extended model of inter-role conflict and their attitudes towards both life and job. 2024, Emerald Publishing Limited. -
Influence of career re-entry enablers on job search outcomes: COVID strengthening the disparity virus?
Women in India when faced with the predicament of managing their homes and work, many a times are forced to take a break from their job. On completion of their personal responsibilities when they contemplate re-entering work, they face numerous hindrances. Covid has only raised additional concerns in their career landscape. In this context based on the social cognitive career theory that adopts human agency perspective we theorize that women are not mere bystanders but themselves contribute to their life outcomes through their self-efficacy and resultant job search efforts. Using the components in the SCCT model (Social cognitive career theory) of career self-management (CSM), data from 385 respondents was analysed using Exploratory Factor Analysis, Confirmatory Factor Analysis and Structure Equation Modeling. The study confirmed the direct and indirect relationship between self-efficacy in job search behaviour, outcome expectations, search goals, search actions and the final job search outcome measured through the number of offers received. Implications of this study to the managers, family and society are also discussed. 2021 Ecological Society of India. All rights reserved. -
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Effect of audiovisual aids and blended teaching on english performance and self-confidence of IX standard students in government schools of Manipur
For a productive teaching-learning process, proper planning and direction is required since the process in itself is the key to a person's progress and development. Accordingly, resources which aid in the teaching and learning process should be selected judiciously and in harmony with the concept in question. Audiovisual aids are sensory objects and images which stimulate and emphasize the learning process. The use of visual aid in teaching has the potential to increase "human bandwidth": the capacity to absorb, to comprehend, and to effectively synthesize the information into new knowledge. Blended teaching is a kind of e-learning which utilizes a scope of instruments and instructive guides to make a learning environment interactive synchronously or asynchronously and improves the learning procedure by offering projects and courses electronically by means of various mixed media specialized devices. The result indicates that there is an impact of the use of audiovisual aids and blended teaching in English performance and self-confidence of the students. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved. -
A Systematic Review of AI Privileges to Combat Widen Threat of Flavivirus
In order to prevent the extraordinary spread of sickness caused by Flavivirus, the healthcare business as well as public health are working tirelessly. Individual lives have been affected, but mosquito-infested public locations have made a considerable influence on the general publics health. Site adaptability, climate change, and inadequate healthcare services and surveillance all contribute to the spread of the virus. The potential dangers of this virus, on the other hand, have been uncovered through extensive and ongoing research in the healthcare business. Modern healthcare facilities may benefit from the reasoning capabilities and ever-evolving analysis techniques provided by artificial intelligence. More conclusive findings have been demonstrated in the realm of AI applications in healthcare domains such as cancer, neurology, and cardiology. A number of research works have justified the use of AI-oriented algorithms for intelligently handling unstructured and huge healthcare data. When it comes to using artificial intelligence (AI) to identify, forecast, diagnose, and treat disease using data from public health and biological databases, the current effort aims to undertake an extensive examination. There may be issues in integrating assistive technology into the current healthcare system, as well. Because of this review, we hope that by merging AI research with clinical and public health specialists, critical knowledge may be extracted from data in order to unchain the relevant information of Flavivirus disease from its chains. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
ELCCFD: An Efficient and Enhanced Credit Card Fraud Detection using Enhanced Deep Learning Principle
Credit card fraud poses a serious threat to financial institutions and their customers; hence, stringent detection protocols are necessary. This study introduces an approach known as Enhanced Learning for Credit Card Fraud Detection (ELCCFD) to enhance the accuracy of credit card fraud detection. To improve the fraud detection process, the proposed method combines the strengths of Convolutional Neural Networks (CNNs), AlexNet architecture, and Gradient Boosting Machines (GBM). The proposed approach begins with cleaning up the credit card data to get useful features, then trains a Convolutional Neural Network (CNN) using AlexNet to figure out complex patterns and representations on its own. This study generates a complete set of features by merging the CNN's output with features generated using GBM. The final model is trained by using a combination of deep learning and other conventional machine learning techniques to achieve the best results. Experimental findings on benchmark datasets demonstrate the effectiveness of the ELCCFD methodology, achieving an accuracy rate of 98%. This study combines AlexNet with GBM to get a model to capture the complex patterns and is easier to understand with the feature importance analysis. With its strong accuracy and reliability, the proposed methodology offers a strong option to fight credit card fraud, and it shows the potential for actual use in financial systems. 2024 IEEE. -
Legal and Bioethical View of Educational Sectors and Industrial Areas of 3D Bioprinting
Recent advancements in three-dimensional printing (3D printing) within the medical field, particularly in the realm of 3D bioprinting, have shown tremendous potential in transforming various medical therapies, offering new approaches to treat organ failure and injury. However, amidst this optimism, several significant ethical and legal challenges remain unresolved before the application and transplantation of 3D bioprinted technology and organs in human subjects can become a reality. This chapter focuses on exploring the ethical and legal constraints associated with 3D bioprinting technology from both educational and industrial perspectives, recognizing their crucial roles as cornerstones for future applications. Furthermore, the analysis of 3D bioprinting technology will be conducted through the lens of the fundamental medical ethics principle, Primum non nocere; First, do no harm. Moreover, the pressing need for effective and timely standalone laws to regulate the subject of 3D printing is emphasized. This urgency arises from the grave concerns posed by the future implications of this technology on Indias scientific research and medical practice. The aim of this paper is to provide a comprehensive examination of the ethical and legal challenges posed by 3D bioprinting technology. By considering both educational and industrial perspectives, this research seeks to shed light on the complexities surrounding the application and transplantation of 3D bioprinted organs. Additionally, the analysis through the principle of Primum non nocere will contribute to the understanding of the ethical implications inherent in this innovative technology. Ultimately, this study advocates for the formulation of appropriate regulations and guidelines through the implementation of effective standalone laws, ensuring the responsible development and utilization of 3D printing technology in the realm of scientific research and medical practice in India. 2024 Scrivener Publishing LLC. -
Counseling and Psychotherapy in India: Radha's Story
This chapter discusses the case of Radha, who presented with depression and infertility. The focus of counseling was to alleviate Radha's psychological distress, help her redefine her identity, and explore alternatives to infertility in the individual and marital context. The counselor's suggestion to use traditional healing practices, especially Pranayama, greatly helped the client, as she used these practices as for preventive coping. Handling the sensitive issue of infertility was challenging for the counselor, especially dealing with the ingrained cultural resistance to infertility and the client's value system that contributed to her own psychological state. Classical approaches to counseling and psychotherapy are indeed useful but require contextualization and an understanding of eclectic practice. Along with eclectic practice, integration of alternative systems of care, such as traditional healing practices, is seen as essential in the practice of counseling and psychotherapy in India. 2015 by the American Counseling Association. All rights reserved. -
A new algorithm with its randomness and effectiveness against statistical tests in data encryption
In the world where security is one of the main concern, we are still not able to make our data secure. Privacy is one of the major concerns in todays world, where all the organization are dealing with data leak problem, data theft, data intrusion. We came up with a mathematical model to encrypt and decrypt data securely. In this paper we have came up with a technique to encrypt and decrypt data using non-deterministic random numbers and generating two cipher text for each data unit (character) and verified the randomness of our cipher text using chi-square test, Gaps test. IJSTR 2020. -
Morphological and Elemental Investigations on CoFeBO Thin Films Deposited by Pulsed Laser Deposition for Alkaline Water Oxidation: Charge Exchange Efficiency as the Prevailing Factor in Comparison with the Adsorption Process
Abstract: Mixed transition-metals oxide electrocatalysts have shown huge potential for electrochemical water oxidation due to their earth abundance, low cost and excellent electrocatalytic activity. Here we present CoFeBO coatings as oxygen evolution catalyst synthesized by Pulsed Laser Deposition (PLD) which provided flexibility to investigate the effect of morphology and structural transformation on the catalytic activity. As an unusual behaviour, nanomorphology of 3D-urchin-like particles assembled with crystallized CoFe2O4 nanowires, acquiring high surface area, displayed inferior performance as compared to coreshell particles with partially crystalline shell containing boron. The best electrochemical activity towards water oxidation in alkaline medium with an overpotential of 315 mV at 10 mA/cm2 along with a Tafel slope of 31.5 mV/dec was recorded with coreshell particle morphology. Systematic comparison with control samples highlighted the role of all the elements, with Co being the active element, boron prevents the complete oxidation of Co to form Co3+ active species (CoOOH), while Fe assists in reducing Co3+ to Co2+ so that these species are regenerated in the successive cycles. Thorough observation of results also indicates that the activity of the active sites play a dominating role in determining the performance of the electrocatalyst over the number of adsorption sites. The synthesized CoFeBO coatings displayed good stability and recyclability thereby showcasing potential for industrial applications. Graphic Abstract: [Figure not available: see fulltext.] 2021, The Author(s). -
A survey of the studies on Gallai and anti-Gallai graphs
The Gallai graph and the anti-Gallai graph of a graph G are edge disjoint spanning subgraphs of the line graph L(G). The vertices in the Gallai graph are adjacent if two of the end vertices of the corresponding edges in G coincide and the other two end vertices are nonadjacent in G. The anti-Gallai graph of G is the complement of its Gallai graph in L(G). Attributed to Gallai (1967), the study of these graphs got prominence with the work of Sun (1991) and Le (1996). This is a survey of the studies conducted so far on Gallai and anti-Gallai of graphs and their associated properties. 2021 Azarbaijan Shahid Madani University. -
Some characterizations of Gallai graphs
Gallai graph of a graph G is a graph whose vertices are the edges of G and the adjacency of the vertices depends on whether they are part of a triangle or not in G. We find some forbidden subgraph characterization of graphs for which Gallai graph is either a trivially perfect graph or a 3-sun-free graph or an interval graph. 2020 Author(s). -
On Some Graphs Whose Domination Number Is thePerfect Italian Domination Number
Perfect Italian Domination (PID) is a vertex labelling of a graph G by numbers from the set such that a vertex in G labelled 0 has a neighbourhood where the summation of the labels of the vertices in it is precisely 2. The summation of labels on the vertices of the graph which satisfy the PID labelling is known as its PID number, and is the minimum possible PID number of a graph G. We find some characterization of graphs for which . We also find a lower bound for |V(G)|, which satisfies the same. Further, we discuss the graphs that satisfies or . A realisation problem is used to prove that PID cannot be bounded by a scalar multiple of the Domination number. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Modelling Networks withAttached Storage Using Perfect Italian Domination
Network-attached storage (NAS) is how data is stored and shared among hosts through a configured network. This is cheaper yet the best solution for sharing and using any huge unstructured data in an organization. Optimal distribution of NAS in a network of servers can be done using the concept of Perfect Italian Domination (PID). PID is a vertex labelling where the vertices of a graph G are labelled by 0, 1, 2 such that a vertex with label 0 should have a neighbourhood where the summation of the labels is exactly 2. The minimum possible sum of the labels obtained for graph G is its PID number. A network in an organization can have any structure. It can be highly interconnected, like a graph obtained from the Join of two graphs or the Corona product of two graphs. Hence, this paper discusses the PID of different graphs generated by the Join and the Corona products. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Template based speech enhancement of disordered speech
In this paper, we have taken Electro-Larynx (EL) speech and have improved the speech quality, electro-larynx speech was improved in terms of naturalness and intelligibility by introducing variations in the F0-contour and template matching with correlation coefficient. Initially, we introduced two different speech signals, the first speech signal introduced was healthy speech signal and the second speech signal introduced was disordered speech signal. Here, the second speech signal, the disordered speech is taken as the EL speech. The fundamental frequency or pitch was extracted first from the two inputed speech signals, then the contour of each fundamental frequency was extracted from the two input speech signals. Using these extracted features of fundamental frequency the gender classification by K-means algorithm was instigated. The same process was implemented with F0 contour features which was extracted using K-NN algorithm. EL speech contains directly radiated electrolarynx noise (DREL). The noise was filtered out using spectral subtraction algorithm. Once DREL noise is removed from EL speech, the quality of the speech was greatly improved. Then EL enhanced speech signal is compared and mapped with healthy speech signal using template matching algorithm with the help of correlation coefficient, this improves the overall quality, that is the naturalness and intelligibity of the introduced disordered speech signal. This technique helps solve the major problem of speech faced by differently abled persons with larynx disorder. 2016 IEEE.