Browse Items (2832 total)
Sort by:
-
Exploring the Roots of Customer Adaptability Through the Landscape of Physical Retail Environments
This research delves into the intricate dynamics of customer adaptability within the realm of brick-and-mortar retail, examining the pivotal role of managing customer knowledge capabilities. As traditional retail spaces evolve in response to technological advancements and shifting consumer behaviors, understanding the antecedents of customer agility becomes paramount. Drawing on insights from customer knowledge management literature and retail studies, this paper elucidates the nuanced interplay between customer adaptability and the strategies employed to harness and leverage customer knowledge. Through a comprehensive analysis of the contextual landscape of physical retail environments, we uncover the underlying factors that influence customer adaptability. By illuminating these connections, this study offers valuable insights for practitioners and scholars alike, contributing to a deeper understanding of how organizations can effectively navigate the evolving retail landscape to enhance customer experiences and foster sustainable growth. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
A Study on Influence of Celebrity Endorsement on Online Consumer Buying Behaviour with Special Reference to Food Products
Celebrity endorsements are now a common marketing tactic used by businesses in a wide range of sectors to increase brand awareness and sway customer behavior. Celebrity branding has been more prevalent in the food product industry, as businesses use the attraction and popularity of these individuals to influence customer choices. The purpose of this study is to examine the complex relationships that exist between consumer purchasing behavior and celebrity endorsement in the context of the food sector. The study takes a multipronged approach, fusing insights with quantitative data to explore the nuances of consumer reactions to celebrity endorsements in the food product space. Through the analysis of a wide variety of food goods, the study aims to clarify the varying effects of celebrity endorsements in different categories and customer groups. In addition, the initiative aims to investigate the psychological factors that underlie consumer perceptions and actions in reaction to food sector celebrity endorsements. To understand their complex impact on consumer decision-making processes, factors including consumer-brand connections, celebrity credibility, and congruence between the celebrity and the recommended product will be closely examined. By conducting a thorough analysis of empirical data and theoretical frameworks, this research project seeks to offer significant insights. A descriptive research methodology employing Quantitative analysis was considered for the study. A sample of 384 respondents from across Bangalore was chosen using the non-probability sampling method. A well-structured questionnaire was prepared, and the survey method of data collection was used. The questionnaires were collected using both online and offline methods. The data collected was analysed using the SPSS, AMOS and Andrew Hayes process macrosModel 1 with multi categorical variables. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Initial Public Offerings (IPOs) Performance: Bibliometric Analysis of Scholarly Articles on Short-Run Performance
Initial Public offerings are used by the companies to raise capital from the public and to enter in to the public markets. To understand the concept of short-run performance and long-run performance of the company is essential for the investors, regulators and market analysts to evaluate market efficiency. there are many researches were conducted on IPO from the year 1991 to till date, shows the importance of the IPOs. This paper conducted a bibliometric analysis on IPO performance landscape. The data were collected using the Dimensions data base. The articles so collected were from the period 1991 to 2024. Total of 126 articles were identified and considered for the current research. The extracted database was analyzed using VOSview software. Using the software, the current research identified the key authors in the field of IPO research, their organizations, countrywide research contributed in the field of IPO performance both short-run and long-run, especially short-run. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Does ESG Integration Enhance Financial Performance in Emerging Economies? A Systematic Review of Brics
A growing wave of environmental and social problems is driving the world's focus on sustainability, and the UN's creation of the Sustainable Development Goals (SDGs) and ESG-focused investments are giving this movement a strong push. Today, investors consider ethical and moral principles coupled with monetary factors. ESG, which stands for Environmental, Social, and Governance, is a set of factors used to judge how well a company runs. These factors look at how the company protects the environment, treats its workers and society, and manages itself fairly and effectively. The present study is a systematic literature review of ESG and its influence on the firm financial performance of BRICS nations. The majority of the existing literature places focus on ESG in the developed world and this study aims to bridge this divide by focusing on Emerging economiesBRICS. The majority of the studies reveal a positive association between ESG and firm financial performance. The findings reveal the primary financial variables that affect ESG performance in BRICS countries such as firm size, debt ratios, weighted average cost of capital, return on equity (ROE), return on capital (ROC), Returns on Sales (ROS), Return on Assets (ROA), transparency levels, and financial leverage. Various theories such as Long-term gains, Institutional theory, Stakeholder theory, and Legitimacy Theory have laid the foundation for the research in the area. The review highlights the need for uniform ESG frameworks and enhanced disclosures to foster responsible investment practices in emerging economies like BRICS nations, providing valuable insights for companies, investors, and regulatory bodies. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Exploring the Impact of Disengagement on the Burnout Among ICU Nurses of Indian Private Hospitals: The Influence of Perceived Organization Support
Among healthcare workers, the nursing workforce has a high intensity of burnout which occurs as a response to the pressure they face at their workplace. Burnout in nursing professionalsis a widespread phenomenon characterized by a reduction in nurses energy that manifests in emotional exhaustion, lack of encouragement, and feelings of frustration and may lead to a decrease in work efficacy. This is a significant issue in human services that needs to be addressed.Several studies have been done on nurses; however, burnout in Indian ICU nurses has not received much attention. Intensive Care Units are specialized hospital areas requiring constant attention and vigorous patient care. Studies state that ICU nurses have to be more alert due to the severity of the illness in patients. Nurses in ICUs face many challenges at work which could lead to burnout. Disengagement is one such factor that might lead to burnout in nurses. When people experience disengagement, they feel detached from their workplace. Previous studies indicate that due to pandemic experiences, nurses are disengaging at a rate twice that of other healthcare staff. The challenging demands of their work have significantly affected the nurse's psychological wellness and overall health. Limited studies have been done on ICU nurse disengagement and its effect on burnout in Indian settings. Therefore, the study aims to examine how nurse disengagement affects the burnout they experience. Healthcare organizations must prioritize the support to be extended and care for the nurses well-being to prevent further disengagement. Nurses may become more committed to the organization when they feel supported by hospital administrators and have lighter workloads. This paper focuses on exploring the consequences of disengagement on burnout experienced by ICU nurses and the influence of Perceived Organizational Support (POS) between them. The sample used for the study was 449 nurses working in the ICU divisions of private hospitals in India. This study employed a simple random sampling technique. A survey was utilized and distributed to the nursing professionals working in the ICU divisions. The commonly recognized aspects of burnout are emotional exhaustion, depersonalization, and reduced personal achievement. The study results indicated that disengagement has no impact on the emotional exhaustion experienced by ICU nurses. However, it influences depersonalization and nurses achievement. The study results state that POS moderated the relationship between disengagement and the two burnout aspects: depersonalization and personal achievement. From the findings, it may be concluded that perceived organizational support is crucial in encouraging greater personal accomplishment, reduced depersonalization, and bringing about positive change for disengaged ICU nurses. Better organizational support for ICU nurses becomes a critical responsibility of nursing administration. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Exploring the Impact of Disengagement on the Burnout Among ICU Nurses of Indian Private Hospitals: The Influence of Perceived Organization Support
Among healthcare workers, the nursing workforce has a high intensity of burnout which occurs as a response to the pressure they face at their workplace. Burnout in nursing professionalsis a widespread phenomenon characterized by a reduction in nurses energy that manifests in emotional exhaustion, lack of encouragement, and feelings of frustration and may lead to a decrease in work efficacy. This is a significant issue in human services that needs to be addressed.Several studies have been done on nurses; however, burnout in Indian ICU nurses has not received much attention. Intensive Care Units are specialized hospital areas requiring constant attention and vigorous patient care. Studies state that ICU nurses have to be more alert due to the severity of the illness in patients. Nurses in ICUs face many challenges at work which could lead to burnout. Disengagement is one such factor that might lead to burnout in nurses. When people experience disengagement, they feel detached from their workplace. Previous studies indicate that due to pandemic experiences, nurses are disengaging at a rate twice that of other healthcare staff. The challenging demands of their work have significantly affected the nurse's psychological wellness and overall health. Limited studies have been done on ICU nurse disengagement and its effect on burnout in Indian settings. Therefore, the study aims to examine how nurse disengagement affects the burnout they experience. Healthcare organizations must prioritize the support to be extended and care for the nurses well-being to prevent further disengagement. Nurses may become more committed to the organization when they feel supported by hospital administrators and have lighter workloads. This paper focuses on exploring the consequences of disengagement on burnout experienced by ICU nurses and the influence of Perceived Organizational Support (POS) between them. The sample used for the study was 449 nurses working in the ICU divisions of private hospitals in India. This study employed a simple random sampling technique. A survey was utilized and distributed to the nursing professionals working in the ICU divisions. The commonly recognized aspects of burnout are emotional exhaustion, depersonalization, and reduced personal achievement. The study results indicated that disengagement has no impact on the emotional exhaustion experienced by ICU nurses. However, it influences depersonalization and nurses achievement. The study results state that POS moderated the relationship between disengagement and the two burnout aspects: depersonalization and personal achievement. From the findings, it may be concluded that perceived organizational support is crucial in encouraging greater personal accomplishment, reduced depersonalization, and bringing about positive change for disengaged ICU nurses. Better organizational support for ICU nurses becomes a critical responsibility of nursing administration. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Ageism, Culture and Willingness to Work with Older Adults Among Youth in India
Ageism is a phenomenon prevalent around the world today. It can be understood as the prejudiced attitudes, beliefs and discriminatory behaviour held towards people on the basis of their age. The present study aimed to explore the mindset of students aged 1825 in Delhi-NCR to know their perspective towards elderly in both, personal and professional domains. It seeks to identify and understand whether attitude of young adults towards older adults, awareness of ageism, the quality and quantity of intergroup contact, and filial piety attitudes influence their willingness to work with older adults. Individuals currently enrolled in an onsite course in a UGC-recognised University in Delhi-NCR participated in the study. The Facts on Aging Quiz (FAQ), Fraboni Scale of Ageism, Ambivalent Ageism Scale (benevolent and hostile attitudes) and Working with Older Adults Scale (WOAS) were administered on 200 participants. Filial piety and intergroup contact were also measured. Regression analysis highlighted the significant predictors of WOAS dimensions, namely, attitude, perceived behavioural control, subjective norm and working intentions. Intergroup contact frequency and quality along with compassionate reverence aspect of filial piety were significant contributors across the dimensions. The study has implications for intergenerational teams and diversity management training programs in organisations. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Tattoos and Personal Identity: A Thematic Exploration Among Young Adults
The present study is an exploratory research, conducted among young adults to explore how they derive meaning and self-identity with the help of tattoos. The research paradigm guiding this study is constructivism because there are multiple realities, and the meanings are constructed by the individuals participating in this study and the researcher. Personal construct theory guides the present study. This theory provides the means to achieve the aim of understanding how individuals construct and reflect personal identity through their own tattoos. Earlier studies of tattoos have focused on the social and cultural meanings of tattoos. However, the current study takes a different perspective, investigating the meanings of tattoos for individuals who wear them and how their tattoos reflect their personal identity. Very limited studies have asked individuals directly to come up with the reasons behind being tattooed and for choosing particular designs. Thematic analysis of the data reveals that young adults see tattoos as a means of deriving personal meaning, seeking social validation, and redefining themselves with a new perspective while seeking integration and a means of self-expression. Overall, the implications of this study reverberate across academic, societal, and personal spheres, offering valuable insights into the multifaceted world of tattoos and their profound connections to personal identity. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Superstitious Beliefs: Demographic Correlates and Its Relation with Self Efficacy
People from every culture exhibit superstitious beliefs and behaviours in large numbers. The superstitious concepts that are ingrained in Indian culture are highly diverse and may not be similar to those found in Western civilizations. In India, there has only recently begun and there is very little research in this field. The sample for the study was selected using a convenient sampling method. The study followed a quantitative approach within a positivistic paradigm. The research is aimed at establishing a relation among the demographic correlates of superstitions as well as its relation with self-efficacy. The participants were chosen from a larger group of individuals 1778 who lived in the South Indian states of Kerala, Tamil Nadu, and Karnataka and various demographic correlates of superstitions in India were analysed. The tools used for evaluation include the General self-efficacy scale (Schwarzer & Jersalem, 1995) and the Superstitious Belief Scale. Demographic correlates of superstitious beliefs indicate differences based on age, gender, religion, education, and geographic location. Superstitious beliefs were found prevalent in various demographics and demonstrated an inverse relationship with self-efficacy. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Unraveling the Intangibles: Influence of AI and Employee Valuation on Corporate Sustainability
This study investigates the impact of Artificial Intelligence (AI) and human capital on a firm's sustainability based on the selected thirty companies in the Indian Information Technology (IT) Sector. It also involves an insight into the usage of AI tools for the same. This study takes three independent variables, namelySalaries and wages (SW), Provident Fund (PF), and Gratuity and superannuation (GS), which are dependent on the Return On Capital Employed (ROCE). Furthermore, the study evaluates these variables through multiple regression analysis to establish the link between them and determine how human capital affects a firm's profitability. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Unraveling the Intangibles: Influence of AI and Employee Valuation on Corporate Sustainability
This study investigates the impact of Artificial Intelligence (AI) and human capital on a firm's sustainability based on the selected thirty companies in the Indian Information Technology (IT) Sector. It also involves an insight into the usage of AI tools for the same. This study takes three independent variables, namelySalaries and wages (SW), Provident Fund (PF), and Gratuity and superannuation (GS), which are dependent on the Return On Capital Employed (ROCE). Furthermore, the study evaluates these variables through multiple regression analysis to establish the link between them and determine how human capital affects a firm's profitability. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
The Impact of Digital Marketing Strategies on Customer Attitude and Purchase Intention Towards Electronic Gadgets: A Study on Indian Students
A portion of a companys long-term strategy should be devoted to digital marketing transformation. It is a challenging task to select the effective marketing strategy when conducting business in modern digital world. This study seeks to elucidate the influences of digital marketing strategy forms on customer attitude and purchase intention of students towards electronic gadgets. The relationship between four digital marketing strategies such as search engine advertising, social media, content marketing and email marketing towards customer attitudes and purchase intention was investigated in accordance with hypotheses, 225 students from Bangalore city, India, who had experience in online purchase of electronic gadgets comprised as a research sample. The relationship among the selected variables are tested with help of Correlation, ANOVA and regression analysis. The study conclude that there is an impact of various forms of digital marketing strategies on customers attitude and the purchase intention of young (Students) customer. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
From Beans to Business: A Rise of Coffee Preneurs in Kodagu, Karnataka
Coffee is the world's third most consumed beverage after water and tea. India stands at the 7th position as the largest coffee exporter globally, with a significant contribution of 72.5% from Karnataka and 33% from Kodagu alone. This region plays a crucial role in the country's coffee industry, making it a vital component of India's economy, and 80% of the residents of Kodagu rely on coffee cultivation for their livelihood. Coffee farming is considered an annual crop that requires the generated income to be cycled to the subsequent year's coffee cultivation. Planters face numerous challenges during their production, which forces them to sell or convert their agricultural lands into concrete lands (buildings) or convert them into resorts, thereby changing their occupation, which makes coffee sustainability questionable. Therefore, coffee farmers have recently adopted an entrepreneurial approach to augment their income sources and support their livelihoods and occupations. This study aims to assess the key drivers of coffee farmers opting for entrepreneurial activities to assist coffee farming in Kodagu, Karnataka. This study has revealed that additional income, passion for farming, business skills, available resources, opportunity, satisfaction, innovation, creativity, unfair market prices, education, and socialising platforms are the key determining factors for coffee farmers to choose entrepreneurship. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Interconnected Dynamics of Gold, Nifty, Crude Oil, and USD/INR: Insights from a Panel Data VAR Analysis
This study utilizes a panel data vector autoregression (PVAR) model to examine the relationships between Gold, Nifty, Crude Oil, and USD/INR, drawing from 3105 observations sourced from Yahoo Finance. Descriptive statistics reveal notable volatility, particularly in Gold and Crude Oil. Unit root tests confirm stationarity, crucial for time series analysis. Optimal lag selection recommends a lag order of 2, balancing model accuracy and complexity. Granger causality tests indicate limited predictive power, with gold influencing USD/INR unidirectionally. Impulse response function analysis and variance decomposition underscore Golds relative independence. Robustness tests affirm stability, highlighting USD/INRs endogeneity. This study enhances understanding of financial dynamics, offering insights for risk management, portfolio diversification, and monetary policy. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Bridging the Digital Chasm: A Comprehensive Analysis of the Digital Divide in Shaping Healthcare Professionals
Industry 5.0 has ushered in a transformative era for the healthcare industry, propelling it towards a digitally empowered ecosystem. This paradigm shift underscores the indispensability of integrating advanced digital technologies into healthcare, not merely as an option but as a crucial necessity. This research delves into the profound impact of Industry 5.0 on healthcare, emphasizing the intersection of digital technologies, patient-centric care, and sustainable practices. Central to the investigation is the digital divide, which manifests as a catalytic intrusion into the healthcare sector's digital landscape. Regardless of demographic considerations among healthcare providers, the existing digital divide manifests in varying levels of access, skill, and offline outcomes and benefits. Our study meticulously explores the intricate dynamics of the digital divide within healthcare professionals, highlighting its influence on micro-level patient experience. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Innovation in TeachingExploring the Educators Perspective of AI Functions in Subject Pedagogy
The objective of the research is to gain insight into the viewpoints of educators regarding the role of artificial intelligence (AI) in the teaching of academic subjects. The study endeavours to comprehend the most significant function of AI in attaining a successful teaching experience. Design/Methodology The study is an exploratory research design which utilises quantitative research strategy. Data is collected from students of Autonomous Institutions in Bangalore city. A convenience sampling technique is used to select 56 Educators. The data was analysed using the SPSS and AMOS software. Findings The studys results indicate that educators hold a favourable view of the potential of artificial intelligence (AI) features to enhance subject-specific teaching methods. According to the educators, the provision of instructions beyond the classroom and the facilitation of collaborative functions of artificial intelligence have the greatest impact on the effective delivery of subject matter to students. Originality This study is innovative in its methodology as it considers the viewpoint of educators regarding the role of Artificial Intelligence in the teaching of academic subjects. This study pertains to autonomous institutions located in Bangalore that possess the authority to develop their own subject pedagogies through the integration of artificial intelligence (AI). Implications This research will provide valuable insights for policymakers in the education industry and educational institutions regarding the perceptions of educators on the functions of artificial intelligence. The stakeholders can identify the ineffective functions which can either be substituted or eliminated. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Navigating Financial Waters: Exploring the Intersection of Algorithmic Trading and Market Liquidity Dynamics
Algorithmic trading has ushered paradigm shift in trading. The market regulators although welcome this new technological advancement but are still keeping a tight leash. This can be owing to the contradicting and inconclusive evidence of its implications and impact on market microstructure. This study focuses on liquidity which is an integral part of a thriving stock market. We aim to examine if there is a statistical significance between volume of algorithmic orders and market capitalization. The liquidity provision is measured using Amihuds Illiquidity measure which is a proxy for measuring illiquidity. The liquidity measure is examined for chosen 8 stocks based on their market capitalization. The volume of algorithmic orders is examined using the Limit Order Book (LOB) data obtained from the BSE and orders for 23 trading days have been considered. We observe that large capitalization stocks display higher liquidity and algorithmic traders are able to contribute significantly to liquidity when compared to non-algorithmic traders. It was also looked at if there was a big difference in the amount of algorithmic trading done on stocks with big and small capitalization. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Financial Vulnerability in Households: Dissecting the Roots of Financial Instability
The phenomenon of household financial vulnerability, defined by unexpected shocksin income and expenditures, carries major implications for both individual households and the overall economy of a nation. For a considerable time, household debt has been widely acknowledged as the primary determinant of household financial vulnerability. This study aims to extend the analysis beyond the scope of household debt. Middle-income households may experience financial difficulties when faced with unexpected changes in income and expenses. These challenges can arise from several circumstances, including the inability to engage in discretionary activities such as dining out or vacations. For a very long time, it has been posited that low-income households exclusively experience financial vulnerability. Hence, it is imperative to thoroughly examine the concept of household financial vulnerability and its underlying factors to enhance households' ability to withstand adversities and better clarify the matter. In light of the prevailing economic recession triggered by the global pandemic and the ongoing confrontation between Russia and Ukraine, the significance of the matter is further underscored. This study aims to comprehensively define household financial vulnerability and examine its relationship with financial capability, digitalized payments, financial stress, and financial socialization. The current study anticipates establishing a foundational framework for future research endeavors in this specific field. Moreover, this paper also explores potential avenues for future research. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Multi-level Prediction of Financial Distress of Indian Companies Using Machine Learning
Predicting Financial Distress (FD) and shielding companies from reaching that stage is vital, even indispensable for every business. FD, if not attended to on time, ultimately leads to bankruptcy. Prediction variables are essential to forecast the wreckage in the business; however, the prediction is successful when suitable models are used. This study aims to predict FD at three levels: from mild to severe, by applying a machine learning algorithm. The study identifies modern models using the machine learning approach for predicting multi-level FD and summarises the significance of modern models through machine learning technology, to sustain the future development of the economy. The modern models are free from rigid assumptions and have proved to be the best in the prediction of FD. The results show that FD prediction is important at multiple stages. The models performance will be high when the best features are selected using the Pearson Correlation and SFS Feature selection approach. Among the ten models used in the study, LightGBM Classifier shows the highest performance of 80.43% accuracy without feature selection. However, with Pearson Correlation Approach and SFS Feature Selection methods, the accuracy is 82.68% and 86.95% respectively. This study has major implications for the stakeholders of the company to take timely decisions on their investment and for the management as a yardstick to check the performance of the business. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Enhancing Customer Satisfaction and Sales in Retail Environments: A Personalized Augmented Reality Approach for Dynamic Product Recommendations
This article explores the potential transformative impact of integrating augmented reality (AR) technology with personalized product recommendations in the retail industry. By leveraging ARs ability to overlay digital information onto the physical world, retailers can offer tailored suggestions based on individual preferences, past purchases, and real-time contextual cues, thereby enhancing customer satisfaction and driving sales. Through a comprehensive literature review and empirical analysis, the study investigates user experience, adoption factors, and the long-term effectiveness of AR-deep learning integration in retail settings. Findings reveal significant improvements in customer satisfaction, sales performance, inventory management, and employee productivity with the implementation of AR-Deep Learning technology. Additionally, the article presents an innovative framework that seamlessly integrates AR and deep learning models, demonstrating high accuracy in object recognition, real-time interaction, and enhanced user experience across various industries. While highlighting the studys limitations and areas for further research, this article underscores the importance of customer-centric strategies and technological innovation in optimizing the retail experience and driving business growth. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.