Shweta Kumari and Gordhan K. Saini
The changing demographics of talent market calls for a better understanding of the expectations of diverse job seekers. However, there is limited research on employer…
Abstract
Purpose
The changing demographics of talent market calls for a better understanding of the expectations of diverse job seekers. However, there is limited research on employer attractiveness (EA) factors which cover the expectations of new generation job seekers. The purpose of this paper is to examine the effect of career growth opportunities (CGO), work–life benefits (WLB) and corporate social responsibility (CSR) reputation on the perceived attractiveness of an organization as an employer and the job pursuit intention (JPI) of job seekers.
Design/methodology/approach
A 2 (CGO: many vs limited)×2 (WLB: many vs limited)×2 (CSR reputation: high vs low) between-subjects experimental design was used for this study. A total of 240 respondents participated in the study.
Findings
The results showed that provision of CGO had the highest effect on both EA and JPI. This effect was strong enough to compensate for limited WLB and a low CSR reputation. A significant interaction effect between CGO and CSR reputation revealed that the effect of CSR reputation on EA depends on the availability of many or limited CGO.
Originality/value
The study contributes and expands literature on attributes relevant in job choice decisions by providing useful insights regarding how job seekers weigh these attributes while making an employment choice. Also, the study offers suggestions for designing organizations’ recruitment strategy for attracting talent.
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Shweta Jha and Ramesh Chandra Dangwal
The purpose of this study is to investigate the factors affecting behaviour intention (BI) to use and actual usages of investment-related FinTech services among the zoomers (Gen…
Abstract
Purpose
The purpose of this study is to investigate the factors affecting behaviour intention (BI) to use and actual usages of investment-related FinTech services among the zoomers (Gen Z) and millennials (Gen M) retail investors of India.
Design/methodology/approach
The study explores the predictive relevance of actual adoption behaviour among the two different age categories of Indian retail investors. It uses the Unified Theory of Acceptance and Use of Technology-2 and the prospect theory framework as guiding frameworks. Data has been collected from 294 retail investors, actively engaged in the investment-related FinTech services. The multi-group analysis using variance-based partial least square structured equation modelling has been used to compare the two groups. The invariance between the two groups was achieved through measurement invariance assessment.
Findings
The study reveals distinct factors significantly affecting BI to use investment-related FinTech services among Gen Z and Gen M retail investors are performance expectancy (PE) to BI, perceived risk (PR) to BI, price value (PV) to BI and PR to service trust (ST).
Research limitations/implications
This study provides insights for financial providers and policymakers, emphasizing different factors influencing BI to use investment-related FinTech services in both age groups. Notably, habit emerges as a common factor influencing the actual usage of investment-related FinTech services across Gen M and Gen Z retail investors in India.
Originality/value
This study explores the heterogeneous behaviour of the heterogenous population in the domain of technological adoption of investment-related FinTech services in India.
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Karam Pal Narwal and Shweta Pathneja
The purpose of this paper is to analyze the effect of bank-related variables and corporate governance-related variables on the productivity and profitability of public and private…
Abstract
Purpose
The purpose of this paper is to analyze the effect of bank-related variables and corporate governance-related variables on the productivity and profitability of public and private sector banks in India.
Design/methodology/approach
The Malmquist productivity index is applied to determine the productivity of different banks. Further, return on average assets is used as profitability of banks. The regression analysis is further used to assess the effect of different bank-related and governance-related variables on performance of banks.
Findings
Nearly all the bank-specific variables explain the productivity and profitability of banks but a weak relationship is observed between individual governance variables and performance variables. Two governance variables, i.e. board meetings and remuneration explicate the profitability of the public sector banks and only duality explains the profitability of the private sector banks. No significance is found between productivity and governance variables.
Originality/value
The study addresses the embryonic issue of corporate governance in the banking sector. The uniqueness of the paper lies in that no study has evaluated the effect of these variables on productivity and profitability of banks simultaneously.
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Shweta Dewangan and Sanjeev Kumar
Introduction: The study examines how fintech has revolutionized the financial industry, with a focus on the uptake of cutting-edge innovations like blockchain, artificial…
Abstract
Introduction: The study examines how fintech has revolutionized the financial industry, with a focus on the uptake of cutting-edge innovations like blockchain, artificial intelligence, and quantum computing. It highlights fintech’s increasing relevance in the changing economic landscape by discussing how it improves cybersecurity, global financial inclusion, and service efficiency.
Purpose: This text provides an in-depth analysis of fintech’s transformative role in the financial sector, covering innovative business models, various subjects, evolution, contemporary developments, significant data impact, challenges, and future trends, including quantum computing, sustainable finance, and ESG investing.
Methodology Approach: This study uses the secondary from the existing literature. The researcher reviewed the various research papers, books, chapters, and government websites to provide a projection of future trends. This study addresses future opportunities in fintech and focuses on efficiency, costs, customer satisfaction, regulatory changes, innovations, cyber-security, decentralized finance, legal issues, and sustainable finance.
Findings: The study reveals that fintech has a profound impact on enhancing the efficiency of financial services, reducing costs, improving consumer satisfaction, and driving substantial economic growth. Additionally, it effectively tackles difficulties related to cybersecurity and regulatory compliance.
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Shreeansh Mishra, Jitendra Mohan Mishra and Vaibhav Bhatt
This research article explores the intricate relationship between self-help groups (SHGs) and destination sustainability in the context of tourism. SHGs, typically formed by…
Abstract
This research article explores the intricate relationship between self-help groups (SHGs) and destination sustainability in the context of tourism. SHGs, typically formed by individuals with shared interests and objectives, have gained prominence as a means to promote economic, social and environmental sustainability at tourism destinations. This study investigates the impact of SHGs on destination sustainability, focusing on various dimensions, including economic empowerment, cultural preservation, environmental conservation and social development. After conducting an extensive review of the literature and supported by empirical case studies, this chapter undertakes a comprehensive analysis of the role played by SHGs in promoting the sustainability of tourism destinations. Furthermore, it examines the challenges encountered by SHGs in their pursuit of sustainable tourism objectives. The findings of this research contribute to a better understanding of the potential of SHGs in fostering destination sustainability and provide valuable insights for policymakers, destination managers and stakeholders interested in harnessing the power of community-driven initiatives for sustainable tourism.
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The Purpose of this study is to provide an alternative way to create customer valuation metric while accounting for customer riskiness. Customer relationship management (CRM…
Abstract
Purpose
The Purpose of this study is to provide an alternative way to create customer valuation metric while accounting for customer riskiness. Customer relationship management (CRM) emphasizes the importance of measuring customer value. Analytics has paved the way for innovation by providing companies valuable insights into the behavior of customers. Earlier models used to measure customer value do not take into account the types and level of risk posed by customers, such as probability of churn, regularity of purchases, etc. The authors put forth a new and innovative approach to measuring customer value while, at the same time, adjusting for customer riskiness.
Design/methodology/approach
Using a non-parametric approach used in the operations research area, the authors create a risk-adjusted regency, frequency, monetary value (RARFM) score for each customer. These scores are used to segment the customers into two groups – customers with high and low RARFM scores. The authors then identify the underlying demographics and behavioral characteristics that separate the two groups.
Findings
Findings of this paper indicate that customers who perform the best on the RARFM metric tend to be more experienced, and are more likely to exhibit behavioral tendencies that help them perform well in their jobs, such as purchasing promotional goods that act as sales aid and enhance their performance.
Originality/value
The paper is innovative in its approach in terms of creating a new metric for calculating customer value. Few papers have proposed ways to handle and adjust for customer riskiness. Here, the authors propose three kinds of customer risk. Current paper provides a twist to traditional RFM analysis by creating a RARFM score for each customer, and provides a scientific way of assigning weights to RFM.
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Anupama Prashar and Vijaya Sunder M
Grounded in stakeholder theory, this study aims to examine the barriers to blockchain adoption in hospitals in developing countries. It also aimed to explore the…
Abstract
Purpose
Grounded in stakeholder theory, this study aims to examine the barriers to blockchain adoption in hospitals in developing countries. It also aimed to explore the interrelationships among these barriers and investigate how the perceptions of clinical and non-clinical professionals in the healthcare industry differ regarding these barriers.
Design/methodology/approach
The study context was hospitals in India and proceeded in three phases. First, barriers affecting blockchain application in healthcare were shortlisted using a systematic literature review. In the second phase, a multi-round Delphi study with clinical and non-clinical healthcare experts was conducted to screen and validate the barriers identified in the first phase. Finally, the barriers were ranked and categorized into causal and effect groups using the Grey-DEMATEL technique in the last phase of the study.
Findings
The findings reveal variance in the viewpoints of clinical and non-clinical professionals regarding influential barriers. Overall, the most significant causal barriers were a shortage of IT skills and a lack of standards for patient data management standards in Indian hospitals. Additionally, the study identified the lack of a well-defined strategy for blockchain infrastructure deployment and limited support from hospital management as effect barriers.
Originality/value
To the best of the authors’ knowledge, this is the first attempt to use the integrated Delphi-DEMATEL approach to explore blockchain adoption barriers in hospitals from the expert’s point of view.