International Journal of Advances in Business and Management Research (IJABMR)

Evolving Workplace Priorities: A Study on Gen Z's Core Values

2025-06-13T03:43:18+00:00

The 21st-century workplace is undergoing a profound transformation catalyzed by the entry of Generation Z—individuals born between 1997 and 2012—into the global workforce. This generational shift represents more than a demographic transition; it signifies a redefinition of workplace values, behaviors, and expectations. Gen Z, as true digital natives, bring a deep familiarity with technology, a strong sense of social and environmental responsibility, and a desire for transparency, inclusion, and purpose in their professional lives. Unlike previous generations, they prioritize psychological safety, meaningful work, flexible working conditions, and authentic organizational alignment with their personal values. As a result, employers are increasingly challenged to reimagine traditional human resource practices, leadership approaches, and organizational design. Hierarchical structures, rigid schedules, and authoritative leadership styles are being replaced by collaborative, agile, and human-centered models that resonate more with Gen Z’s preferences. This study explores the strategic implications of these evolving priorities, offering insights for HR professionals, business leaders, and policymakers on how to attract, engage, and retain Gen Z talent. Drawing on contemporary research and global trends, it underscores the need for organizations to foster cultures of empathy, co-creation, continuous learning, and social impact.

Crypto Assets and Regulatory Challenges in Business Finance

2025-09-15T07:56:03+00:00

The advent of cryptocurrency assets has ushered in a new era in the financial markets, characterised by groundbreaking opportunities and unprecedented complexities in business finance. These digital assets, underpinned by blockchain technology, have introduced decentralised, secure, and efficient transaction mechanisms that challenge traditional financial systems. However, the rapid expansion of cryptocurrencies, decentralised finance (DeFi), and blockchain-based financial instruments has far outpaced the development of regulatory frameworks. This discrepancy has given rise to significant legal ambiguities, compliance hurdles, and financial risks that businesses and policymakers must navigate. This paper delves into the fundamental nature of crypto assets, their growing integration into corporate finance strategies, and the pressing regulatory dilemmas they present. It examines the challenges faced by financial institutions, corporations, and regulators, including jurisdictional conflicts, anti-money laundering (AML) compliance, market manipulation risks, and cybersecurity vulnerabilities. The discussion culminates in a proposed roadmap for achieving regulatory harmony and mitigating risks, emphasizing the need for global coordination, adaptive policymaking, and technological solutions such as artificial intelligence (AI) and blockchain analytics. By synthesising academic research, real-world case studies, and comparative regulatory analyses, this paper aims to provide a comprehensive understanding of the current landscape and future trajectory of crypto assets in business finance. The findings underscore the necessity of a balanced regulatory approach—one that fosters innovation while safeguarding financial stability and investor protection.

Harnessing AI for Sustainable Future Tourism Industry

2025-07-14T10:14:56+00:00

Almost every aspect of travel and tourism is presently impacted by artificial intelligence (AI), which can be found in a variety of applications such robotics, conversational systems, smart travel agents, customization and recommender systems, applications for language translation, forecasting and prediction systems, and systems for natural language processing and speech recognition. Through a thorough synthesis of the body of research on AI in tourism, this study seeks to highlight important themes, advantages, and disadvantages as well as provide insight into potential directions for future study, including the discovery of new fields within this framework. Artificial Intelligence is evolving quickly. Enhancing operational effectiveness, enhancing customer service, customizing travel experiences, and promoting sustainability measures to create a variety of industries, including tourism. Despite the fact that the amount of research on this subject is increasing, a thorough and organized review of the literature is still required in order to highlight the best applications of AI in this setting and to pinpoint areas that require more investigation. The study is based on review of previous study with the help of PRIZMA try to find out how AI creates impact to future sustainable tourism industry.

Evaluating Fair Practices Code Compliance in India’s Housing Finance Sector: A Comparative Study of Banks, HFCs, Borrowers’ & Lenders’ Perception

2025-07-14T10:29:20+00:00

The housing loan sector in India has witnessed exponential growth, making transparency and informed decision-making critical for sustainable market development. To promote transparency, both the Reserve Bank of India (RBI) and the National Housing Bank (NHB) have mandated that lending institutions adhere to a Fair Practices Code (FPC). However, despite these guidelines, rising consumer complaints indicate a gap between regulatory expectations and actual practices. This study aims to empirically examine the compliance of FPC norms among Banks and Housing Finance Companies (HFCs), as perceived by lending officials and borrowers. Primary data were collected from 294 borrowers and 102 lending branches using structured questionnaires. The findings reveal significant discrepancies not only between banks and HFCs in their compliance levels but also between the perceptions of borrowers and lenders. The results underscore the existence of information asymmetry, contributing to borrower dissatisfaction and potential market inefficiency. Recommendations are offered for improving FPC implementation and harmonizing borrower-lender expectations to ensure a more transparent and fair lending environment.

Adoption of Climate-Smart Agriculture Technologies by Agripreneurs: An Integrated DOI and TAM Approach

2025-07-14T04:00:01+00:00

Purpose: This study investigates the key factors influencing Agripreneurs’ adoption of Climate-Smart Agriculture (CSA) technologies in Karnataka, India, by integrating Diffusion of Innovation (DOI) theory and the Technology Acceptance Model (TAM).

Design/methodology/approach: A quantitative cross-sectional survey was conducted with 306 Agripreneurs across three agro-climatic regions: Bayaluseeme, Malenadu, and Karavali. Structural equation modelling using SmartPLS 4.0 was applied to assess the relationships between constructs, such as Relative Advantage (RA), Compatibility (COMP), Observability (OBS), Trialability (TR), Perceived Usefulness (PU), Perceived Ease of Use (PEOU) and Intention to adopt Climate-Smart Agriculture (CSA) technologies (IAT)

Findings: PU emerged as the strongest predictor of adoption intention, followed by COMP, and OBS. While PEOU significantly influenced PU, it showed a direct negative relationship with intention. Although TR was hypothesized to have a positive influence on adoption intention, the results showed no statistically significant effect. Predictive assessment using PLS-Predict confirmed the strong out-of-sample predictive performance of the model.

Practical implications: The findings suggest that CSA technology adoption strategies should focus on showcasing visible success stories, ensuring the local COMP of technologies, and highlighting tangible benefits. Training and extension programs should prioritise usefulness over ease and ensure region-specific and gender-inclusive delivery.

Originality/value: This study contributes to the growing literature on sustainable agriculture by applying an integrated TAM–DOI framework in the context of Indian Agripreneurs.

Decentralized Decision-Making in Global Trade: Cybernetic Governance Through Logistic Informatics

2025-07-19T07:24:48+00:00

This article explores the integration of cybernetic principles and informatics in shaping decentralised decision-making mechanisms in global trade logistics. In an era marked by increasing complexity, supply chain disruptions, and rapidly evolving technological landscapes, traditional centralised logistics systems often struggle to adapt efficiently. To address these challenges, the study emphasises systemic adaptability, autonomous feedback control, and digital governance as foundational components for the future of trade logistics. It introduces a cyber-informatic framework that leverages real-time data processing, self-regulating algorithms, and networked decision nodes to enhance the resilience, transparency, and efficiency of trade operations across borders. Drawing from comparative analyses of centralised versus decentralised logistics models, the paper demonstrates that distributed control systems – rooted in cybernetic theory – can more effectively respond to external shocks, reduce latency in decision-making, and enable more flexible resource allocation. Case studies from sectors such as maritime shipping, smart warehousing, and cross-border e-commerce illustrate the practical advantages of cyber-informatic architectures in mitigating risks and maintaining operational continuity under uncertainty. Furthermore, the framework supports the transition toward digital trade governance by aligning with emerging global standards for data interoperability, autonomous compliance, and AI-assisted policy execution. The study offers theoretical and applied insights for policymakers, technologists, and supply chain managers seeking to modernise logistics infrastructure while navigating an increasingly decentralised and digitised global economy. By advancing a cyber-informatics approach to logistics, it contributes to the evolving discourse on sustainable, adaptive, and intelligent trade systems.

The Impact of Transformational Leadership on Organizational Innovation and Job Performance: The Mediating Roles of Management Control Systems and Employee Engagement

2025-09-09T06:48:41+00:00

Purpose: This study investigates the impact of transformational leadership (TL) on organizational innovation (OI) in resource-constrained tier-two districts, examining the mediating roles of employee engagement (EE) and management control systems (MCS).

Design/methodology/approach: A cross-sectional quantitative design was employed, collecting survey data from managers and employees across various sectors in tier-two districts of Karnataka, India. Partial Least Squares Structural Equation Modeling (PLS-SEM) was applied using SmartPLS, with validity checks including HTMT, Fornell–Larcker criterion, and variance inflation factors.

Findings: Results reveal a significant direct relationship between TL and OI, with EE serving as a strong mediator in this linkage. Conversely, MCS did not exhibit a significant mediating effect. These findings highlight that in environments with limited resources and competitive pressures, people-centric approaches that enhance employee vigor, dedication, and absorption are more effective in fostering innovation than reliance on formal control mechanisms.

Research limitations/implications: The cross-sectional design limits causal inference, and the geographic focus on tier-two districts may affect generalizability. Future research should consider longitudinal approaches and explore interaction effects between EE and MCS in varied contexts.

Practical implications: Organizations in similar settings should prioritize leadership development programs that cultivate employee engagement to drive innovation. Emphasis should be placed on motivating and involving employees rather than depending solely on control systems.

Originality/value: This study contributes to TL theory by demonstrating the differential effectiveness of mediating mechanisms across contexts, offering a context-sensitive perspective on innovation in underexplored geographical and economic environments.