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Young adults experience of housing and real estate chatbots in India: effort expectancy moderated model
Purpose: This study aims to recognize the role of information system (IS) model on young adults experience of housing and real estate chatbots. This model of IS takes into account the quality of information, the quality of system and the quality of service. Design/methodology/approach: This study uses a sample frame for analysis which comprises young adult population in India, i.e. between the ages of 18 and 35. A questionnaire consisting of five components was used to collect information in a structured manner. The 386 responses thus collected were analysed using the structural equation model. Findings: It was found that there is a significant influence of the quality of information, quality of system and quality of service on young adults experience of housing and real estate chatbots. The findings also showed that there is moderation role of effort expectancy between the quality parameters and young adults user experience of housing and real estate chatbots. Research limitations/implications: This study focusses exclusively on the young adults from various parts of India. Future research can consider larger population categories across age groups and across sectors employing chatbots. Practical implications: This study will enable in-depth understanding of IS model quality dimensions relation with the user experience. In particular, housing and real estate organisations will profit from the expanded usage of artificial intelligence through chatbots for user correspondence and communication. Originality/value: To the best of the authors knowledge, this study is first of its kind, as it investigates how IS model quality dimensions affect the young adults experience of housing and real estate chatbots in India. This study also ventures into identifying the moderation role of effort expectancy between the quality dimensions as per IS model and young adults experience of housing and real estate chatbots. This study will be useful for the stakeholders of housing and real estate industry. 2023, Emerald Publishing Limited. -
Sociocultural aspects of the medicalisation of infertility: a comparative reading of two illness narratives
This paper is a comparative reading of variations in the medicalisation of infertility caused by sociocultural aspects, in two illness narratives by patients: Elizabeth Katkins Conceivability (2018), a story of navigating a fertility industry with polycystic ovarian syndrome and antiphospholipid syndrome in America and Rohini Rajagopals Whats a Lemon Squeezer Doing in My Vagina (2021), a discussion from India of a growing awareness of medicalisation in treatment of unexplained infertility. For this purpose, it first charts scholarship on illness narratives and medicalisation, noting a historical association. Following this, it shows how infertility, a physiological symptom of reproductive incapacity or failure to show clinical pregnancy, is generally medicalised. This paper reads the texts as showing hitherto unaddressed sociocultural aspects of infertilitys medicalisation. At the same time, drawing from existing sociological and anthropological scholarship, it shows how a reading of sociocultural aspects in medicalised infertility nuances understanding of its medicalisation. This comparative reading attends to sociocultural values and norms within the texts, including pronatalism, fetal personhood, kinship organisation, purity/pollution, individual reliance, sacred duty and so forth. It draws from scholarship on embodiment, rhetorical strategies and the language of medicine. It also shows how a patients non-medicalised, affective history ofdeep sickness caused by the biographical disruption of infertility is not that of apoor historian. In laying out the particularisation of such sociocultural values and norms across America and India, medicalisations migration from its origins to the margins reveals subjectivised, stratified reproduction in infertility illness narratives. This paper is part of a turn in scholarship away from understanding the medicalisation of infertility as naturalised and decontextualised. Author(s) (or their employer(s)) 2024. -
Unpacking the Psychology of Investment Intention: The Role of Emotional Intelligence, Personality Traits, and Risk Behaviour
In the dynamic realm of wealth accumulation, investments demand a meticulous evaluation of both financial and non-financial aspects inherent in securities. Prudent decision-making surpasses a fixation on anticipated returns, requiring a nuanced assessment of an investment's potential to actualize desired earnings. This study challenges the presumption of investor rationality in traditional financial theories, emphasizing the profound impact of non-financial determinants on decision-making, including personality traits, emotional intelligence, and risk behavior. With a robust sample size of 396 respondents, the research establishes a statistically significant correlation between emotional intelligence, personality traits, risk behavior, and the intricate domain of investment decisions. For middle-class investors, a pivotal recommendation emerges: fostering a discerning comprehension of one's psychological attributes. Active collaboration with seasoned financial advisers is imperative, serving as a compass through the complexities of the modern financial milieu. This holistic approach, harmonizing financial acumen with nuanced psychological insight, proves indispensable for navigating intricacies and facilitating judicious investment decisions aligned with individual aspirations and risk thresholds. The nuanced integration of financial prudence and psychological acuity fortifies investment portfolios and establishes a resilient foundation for adeptly navigating the dynamic terrain of wealth management. 2024, Iquz Galaxy Publisher. All rights reserved. -
Families Experience with Family Therapy: A Qualitative Inquiry
Various studies have found out that the experiences of the families with family therapy in several countries have generally been positive and the number of the people who benefit from family therapy is also high. Studies reveal that though there is a heightened need for family therapy in India, there is a kind of reluctance among the people towards it. When there is good number of literature in India that reveals the general attitude of Indian population towards family therapy, there is a lack of studies that explore the lived experience of the family members who have undergone family therapy. This study was designed to examine therapy from the point of view of the families. The participants of this study were eight families from Kerala and Karnataka who had completed entire family therapy under the trained professionals in the duration of last five months. The data was collected through in-depth interviews. The study reveals the common factors that led the families to family therapy, their experience with the whole therapeutic process, the barriers that prevented them and the perceived benefits of family therapy. Ten global themes and twenty seven organizing themes have been identified on the whole in relation with the research query. The findings are described along with the practical implication, suggestions and future research agendas. Keywords: Therapeutic process, Rapport building, Working phase, Termination, Interventions, Mental well-being -
User Perception of Mobile Banking: Application of Sentiment Analysis and Topic Modelling Approaches to Online Reviews
The digital revolution has led to significant changes in the global as well as Indian banking sector. The introduction of mobile banking apps has provided increased convenience to customers, who can now avail various banking services remotely. Thus, it is imperative to study the customers' sentiments regarding these applications and find scope for improvement, so that customers can seamlessly operate their bank accounts without having to visit bank branches. Thus, the primary purpose of this research is to study the perceptions of customers towards mobile applications of six major banks in India. A sample of 3000 reviews left by users of these apps was scraped from Google Play Store and sentiment analysis was conducted using RoBERTa-base model from the Transformers library. This was followed by topic modeling using Latent Dirichlet Allocation to find the aspects that are most important to the users. Results revealed that user experience is majorly driven by customer support service, features and functionality of apps, and app performance. Our findings shall help banks identify key areas of improvement so that they can work on enhancing overall customer experience. Despite the growing popularity of mobile banking, this study is the first of its kind in Indian context. 2024 IEEE. -
An Empirical and Statistical Analysis of Regression Algorithms Used for Mental Fitness Prediction
In today's focus on mental well-being, technology's capability to predict and comprehend mental fitness holds substantial significance. This study delves into the relationship between mental health indicators and mental fitness levels through diverse machine learning algorithms. Drawing from a vast dataset spanning countries and years, the research unveils concealed patterns shaping mental well-being. Precise analysis of key mental health conditions reveals their prevalence and interactions across demographics. Enriched by insights into Disability-Adjusted Life Years (DALYs), the dataset offers a comprehensive view of mental health's broader impact. Through rigorous comparative analysis, algorithms like Linear Regression, Random Forest, Support Vector Regression, Gradient Boosting, K-nearest neighbors and Theil Sen Regression are assessed for predictive accuracy. Mean squared error (MSE), root mean squared error (RMSE), and Rsquared (R2) scores are used to assess the predictive accuracy of each algorithm. Results show that Mean Squared Error (MSE) ranged from 0.030 to 1.277, Root Mean Squared Error (RMSE) from 0.236 to 1.130, and R-squared (R2) scores ranged between 0.734 and 0.993, with Random Forest Regressor achieving the highest accuracy. This study offers precise prognostications regarding mental fitness and establishes the underpinnings for the creation of effective tracking tools. Amidst society's endeavor to tackle intricate issues surrounding mental health, our research facilitates well-informed interventions and individualized strategies. This underscores the noteworthy contribution of technology in shaping a more Invigorating trajectory for the future. 2023 IEEE. -
Structural, Morphological and Optical Properties of MoS2-Based Materials for Photocatalytic Degradation of Organic Dye
Molybdenum disulfide (MoS2) is a transition metal dichalcogenide (TMDCs) having versatile properties and plays a great role in the photodegradation of organic dyes. MoS2 also finds applications in diverse fields such as catalysis, electronics, and nanomedicine transportation. MoS2 can be prepared by using chemical and physical methods such as hydrothermal, solvothermal, and chemical vapour deposition methods. The preparation method employed can produce subtle but significant changes in the morphology. To increase the efficiency of MoS2, it can be combined with different materials to produce composites that improve the photodegradation efficiency of MoS2. The various methods of preparation, the morphology of MoS2, and photodegradation activity of the MoS2-based nanocomposites are briefly discussed in this review. 2022 by the authors. -
Statistical and experimental studies of MoS2/g-C3N4/TiO2: a ternary Z-scheme hybrid composite
Abstract: A ternary photocatalyst, MoS2/g-C3N4/TiO2, was prepared using layered and exfoliated MoS2, g-C3N4, and TiO2 viahydrothermal and wet chemical method. It was characterized using various methods to evaluate the structural, morphological and optical properties. Successful incorporation of g-C3N4 and TiO2into MoS2 was confirmed by X-ray photoelectron spectroscopy, and the formation of heterojunctions among MoS2, g-C3N4 and TiO2 particles was established by transmission electron microscopy. These hybrid composites exhibited excellent efficiency in the degradation of malachite green dye. The composite can be recycled four times without loss of photoactivity. The remarkable improvement in photocatalytic efficiency was because of the synergism among the three nanoparticlesthrough the Z-scheme pathway which allows separation of electronhole pairs and makes MoS2/g-C3N4/TiO2 an outstanding material in the fields of photocatalysis and water treatment. The optimized experimental conditions for the degradation of the dye were assessed by the BoxBehnken design of the response surface methodology. Graphical abstract: [Figure not available: see fulltext.]. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature. -
An Integrated Scalable Healthcare Management System Using IOT
Healthcare management is the challenging task of maintaining the patients medical-related data and images. Pervasive computing, which consists of a wireless network, is an innovative medium for medical data transmission. Here, we propose SHMS (Scalable Healthcare Management System) and interoperability, an available and user-friendly platform. It utilizes a huge amount of data and medical images that must be managed and stored for processing and further investigation. In our work, data like heartbeat, temperature, blood pressure, and ECG readings are collected using different sensors and in one gateway protocol. This design is used for transferring, managing, and accessing documents containing health-related information, which is scattered across different system and organization domains. It is scalable because cloud platforms provide communication APIs, the web service interfaces ensure interoperability, the availability makes patients, doctors, or administrators able to access medical-related data anywhere, and Android OS makes it user-friendly. The security of the data collected can be achieved by authenticating storage using a cryptographic ECC algorithm. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Impact of artificial intelligence on consumer online purchase intention
Artificial intelligence (AI) is rapidly weaving itself into the fabric of online shopping as the digital landscape evolves, having a significant impact on consumer online purchase intention (COPI). This influence manifests itself in a variety of ways, ranging from personalized product recommendations curated by AI algorithms to seamless user experiences (UX) crafted through AI-driven optimization. Recommendation engines anticipate our desires by analyzing previous purchases and browsing behavior, relieving decision fatigue, and potentially nudging us towards that coveted purchase. Chatbots and virtual assistants, tireless digital companions, provide 24-hour support, increasing convenience and accessibility and thus increasing COPI. This AI-infused journey, however, is not without its challenges. Concerns about data privacy, algorithmic bias, and the ambiguity of AI decision-making can erode consumer trust, potentially impeding COPI. Ethical concerns about data manipulation, discrimination, and unfair data practices raise red flags, calling for transparency and responsible AI implementation. The key to unlocking a sustainable future for e-commerce is striking the right balance between harnessing the power of AI and mitigating its potential pitfalls. E-commerce companies must prioritize trust by being transparent, ensuring responsible AI practices, and confronting ethical concerns head on. Only then will they be able to harness AI's transformative power to foster a thriving online shopping environment in which COPI thrives alongside consumer trust and well-being. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Teacher preparation and professional development programs with technology-enhanced learning
The term Technology Enhanced Learning (TEL) refers to application of technology to teaching and learning process.Teaching profession requires incessant developing and upgrading. For this reason, Professional Development Programs are an essential requirement for the institutions and the teachers. Professional development programs are now designed to cater to this new need of the teachers aiming to enhance their digital skills and prepare them to use technology in their class preparations, class conduction, assessments, etc. This chapter aims to investigate the need for digital skills, technology enhanced learning to develop teachers. The purpose of this study is to identify key challenges and solutions to the effective integration of technology in teacher preparation. The study would also provide guiding principles on how to move the field towards effective integration of technology in teacher preparation, development programs and how to incorporate technology enhanced learning in their professional development. 2025 by IGI Global Scientific Publishing. -
Current Trends and Future of AI in Sales and Marketing
Industry 4.0 has been fueling the growth of Artificial Intelligence owing to the expanding progress of data produced by the Internet and IoT devices and the computation of this enormous quantity of data. Artificial Intelligence has revolutionized the business world. AI technology has had a striking influence in the field of finance and accounting. As the market is becoming increasingly competitive, AI-empowered finance and accounting structures are making the business organization sturdy competitors as AI technologies and tools help in saving time and extracting deeper understandings. Today, companies use AI to predict customer behavior, serve more people, better target campaigns, forecast trends, etc. It goes without question that AI could improve the productivity of marketing teams. For example, location, age, and other essential information can lead to more personalized content. Along with big data, AI can undoubtedly provide businesses with a powerful means to engage and convert potential customers. This chapter aims to study the use of artificial intelligence in sales and marketing. The chapter also studies the role of AI in the sales and marketing field. This chapter also describes the benefits and current trends of AI applications in sales and marketing operations. This chapter includes the fundamental and theoretical base. It attempts to analyze the key practical applications of AI in the very specific work of the sales and marketing field. 2025 by Apple Academic Press, Inc. -
Consumer decision-making journey and the role of AI-enabled mimic technology and social robots
AI is essential for optimising the customer journey since it customises interactions at every stage of the process. Companies can predict consumer patterns and prepare for demands with the help of predictive analytics. Mimicking technology can significantly affect the way customers feel, practices and beliefs, which in turn can affect how they make choices. Social networking platforms, for example, employ mimic technology to follow users' online habits and recommend content according to what they are likely to find interesting. Furthermore, mimic technology can be used to create immersive shopping experiences that influence consumers' emotions and purchasing decisions. Consumers might be able to interact with virtual organisations, try on clothes and assess goods thanks to virtual reality and augmented reality. As a result, consumers could become more confident when making buying decisions, increasing the possibility that they will buy something. Understanding how mimic technology works can help businesses create better consumer-friendly goods and services as well as more successful marketing initiatives. This chapter would present a systematic review of the evolution of decision-making process and the role of social robots and mimicking technology. This chapter would explore the most novel and trending advances in AI-based mimicking technology fluxing the consumer buying decisions. Additionally, the study would describe the existing challenges of software architecture of AI-enabled mimicking technologies and social robots. Finally, the study would present the future directions that these systems can take in the future. 2025 Sunanda Vincent Jaiwant, Ajitha Haridasan and Dheepa T. All rights reserved. -
The Fusion of Co-Branding and Digital Fashion: Transforming Smart Luxury Products in the Digital Era
In the evolving landscape of luxury products, co-branding strategies and digital fashion integration have become essential tools for enhancing brand value and consumer engagement. Smart luxury products, which incorporate advanced technology, require a unique blend of traditional craftsmanship and digital innovation to maintain exclusivity while catering to tech-savvy consumers. This chapter explores the strategic collaborations between luxury brands and technology firms, analysing their impact on brand equity, consumer perception, and market performance. It examines case studies of successful co-branding initiatives and evaluates the role of digital fashion in enhancing personalization and sustainability in luxury consumption. 2026, IGI Global Scientific Publishing. All rights reserved. -
HR analytics in employee engagement and turnover
HR Analytics has expanded increasingly in the last two decades. Nowadays, several Companies use the supremacy of analytics, in gaining a competitive edge over others by recognizing all essentials of the employees. Organizations aim to optimize employee-performance, and hence are making use of HR analytics to drive strategic HR decisions. This study examines the advent of HR analytics by in measuring and improving employee engagement and turnover. Employee engagement analytics stands for exercising the use of data in decision-making process by integrating employee engagement with other HR and non-HR data. Employee engagement analytics is a subsection of workforce-analytics. It has become the standard contemporary system in advanced employee administration and retention. Employee engagement analytics benefits all stakeholders within the organization. 2023, IGI Global. All rights reserved. -
Enhancing the digital consumer experience: The role of artificial intelligence
In the era of rapid technological advancement, the integration of artificial intelligence (AI) and digital consumerism has created new trends in business. Consumers are able to communicate with brands in new ways owing to developments in digital media. AI-powered recommendation systems, chatbots and virtual assistants are the main drivers of this change. It allows businesses to offer product recommendations, customer support, and personalized content to increase user engagement and satisfaction. This chapter provides real-world examples of AI applications across industries, highlighting success stories of companies using AI to create better value and customer satisfaction. Finally, the integration of artificial intelligence and digital customer experience has the potential to transform the future of e-commerce, marketing, and customer service, opening new horizons for both businesses and consumers. 2024, IGI Global. All rights reserved. -
Demand Forecasting Methods: Using Machine Learning to Predict Future Sales
To thrive in the market today, businesses must increase the effectiveness, dependability, and accessibility of their services. Sales estimation and operative demand scheduling definitely impact the end result of the organizations, influencing their procurement process, production, delivery, supply chain, marketing communications, etc. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar. -
Evaluating the impact of microlearning and micro-lessons and implications for general education
The educator training approach known as microteaching, which is used now all over the world, offers teachers the chance to sharpen their teaching abilities by enhancing the many straightforward activities referred to as teaching skills. Microteaching supports the growth of in-person teaching experiences thanks to its success with both beginners and older students. The fundamental abilities of microteaching, such as exposition and reinforcing abilities, aid new instructors in mastering the craft of instruction with ease and to the fullest. This method's effects have been widely observed in a variety of educational settings, including the biological sciences, health sciences, and other fields. The chapter reflects upon the basic concepts of microteaching, microlearning, and micro lessons. The study discusses the fundamental teaching techniques, implementation issues, and the effects of microlearning on education. The study also throws light on the impact and advances of technology on microlearning in the context of the digital age. 2024, IGI Global. -
Role of information and communication technologies in the sustainable clothing and textile industry
Information and communication technology (ICT) has an important role to play in every sector globally. These opportunities will derive from the ability of ICTs to open up parts of the supply chain (other than basic manufacturing and processing) in clothing and textile industry as well. ICT technology is used at various stages of the design process. Presently, it is rapidly changing the textile industry. Employee at- tendance (clocking in) to shipment dispatching are dependent on information technology. The garment industry is fully depended on IT or ERP. This chapter presents the latest trends of companies that have successfully used ICTs to move, for example, into higher-value activities such as design and logistics, or to access niche markets. The study aims to investigate the uses of information and communication technology in the clothing and textile industry and examine the recent trends of ICT usage in companies within the textile industry and identify the factors to be considered by companies in the textile industry before investing in ICT. 2023, IGI Global. All rights reserved. -
Servant leadership and diversity: A focus on ethnic and cultural diversity
Business organizations becoming global is nothing new in the current world due to the ever-shrinking physical and communication boundaries. Going global has its benefits and limitations. Benefits would be less expensive land, labor, and resources and reduced transportation cost by being present in countries with vast requirements for an organization's products or services. At the same time, the limitations would be to manage people or lead them toward shared organizational goals. India being a country with enormous opportunities has diverse cultures and practices. Thus, leading various people as employees would be a challenge. What may work in the Western countries may not work in India due to its vast diversity in culture, language, and ethnicity. This research aims to understand the servant leadership approach and if it would be applicable in India. In the context of diverse cultures, the authors analyze the servant leader's role in an organization and compare the practices of servant leadership in various other countries. 2023 by IGI Global. All rights reserved.