Global journal of Business and Integral Security
https://gbis.ch/index.php/gbis
<p><img src="https://www.gbis.ch/public/site/images/ssbm/gbis.jpg" alt="" width="200" height="283" /></p> <h2>About the Journal</h2> <p>Global Journal of Business and Integral Security - GBIS (ISSN 2673-9690 Online) is an international, double-blind peer-reviewed, open-access journal published by the Swiss School of Business and Management (SSBM Geneva) and the University of Applied Sciences in Security and Safety.</p> <p>GBIS aims to provide a valuable outlet for research and scholarship on management-orientated themes and topics. It publishes articles of of multi-disciplinary and interdisciplinary nature as well as empirical research from traditional and managerial functions. With contributions from around the globe, the journal includes articles across the full range of business, management and integral security disciplines.</p> <p>The journal covers topics in the areas of business, management, finance, corporate governance, corporate security, health security, environmental safety, human resource management, marketing, organizational behavior, organization theory, strategy, technology management, and related areas. </p> <p><strong>Aims</strong></p> <p>The aim of GBIS is to provide a platform where academics and practitioners can present their research in the fields of business, management and integral security. The journal will provide new methods and methodologies for analysis, integration and implementation of business, management and integral security.</p> <h4>Focus and Scope</h4> <p>The journal aims to provide an outlet for research and scholarship on management-related themes and topics. With contributions from around the globe, the journal includes empirical, conceptual and methodological articles across the full range of business and management disciplines, including:</p> <ul> <li>Accounting and Finance</li> <li>Business Economics</li> <li>Business Ethics</li> <li>Corporate Governance</li> <li>Environmental Health and Safety</li> <li>Entrepreneurship & SME managemen</li> <li>General Management</li> <li>Human Resource Management</li> <li>Integral and corporate security </li> <li>Knowledge Management</li> <li>Management Development</li> <li>Marketing</li> <li>Operations Management</li> <li>Organization Theory</li> <li>Organizational Behaviour</li> <li>Public Sector Management</li> <li>R&D Management</li> <li>Research Methods</li> <li>Strategic Management</li> <li>Technology Management</li> </ul> <p>Other themes associated to the above or emerging topics will also be considered. </p> <p>All papers submitted to GBIS are submitted to double-blind peer review. </p> <p><strong>Indexed and Abstracted Information</strong></p> <ul> <li>Academic Journals Database</li> <li>COPAC</li> <li>Electronic Journals Library</li> <li>Elektronische Zeitschriftenbibliothek (EZB)</li> <li>Google Scholar</li> <li>JournalTOCs</li> <li>Ulrich's</li> <li>Universe Digital Library</li> <li>WorldCat</li> <li>ZBW-German National Library of Economics</li> </ul>Swiss School of Business and Management Genevaen-USGlobal journal of Business and Integral Security2673-9690Customer Retention in Logistics Industry in India
https://gbis.ch/index.php/gbis/article/view/541
<p>The logistics industry plays a critical role in global supply chains, ensuring the timely movement of goods and services across various sectors. In recent years, increasing globalization, technological advancements, and growing environmental concerns have posed significant challenges and opportunities for the logistics sector. This thesis aims to explore and propose strategies to enhance efficiency and sustainability within the logistics industry. This research begins by analyzing the current state of the logistics industry, examining its key components, such as customer behaviour, mindsets, fluctuation of rates, services, customer satisfaction, customer retention & sustainability. By conducting an in-depth review of existing literature and industry reports, the study identifies the major inefficiencies, bottlenecks associated with conventional logistics practices.</p> <p>Furthermore, the thesis investigates emerging trends that have the potential to revolutionize the logistics sector. It explores sustainable logistics practices that encompass environmental, social, and economic dimensions. It investigates the implementation of strategies, such as lowering rates, 24/7 support, better services, increasing trust, personalized services, timely delivery and post service follow ups. The study also examines the role of collaboration and partnerships among stakeholders, including government bodies, industry players, and consumers, in promoting sustainable logistics practices. In addition to operational and collaborative aspects, the thesis delves into the importance of sustainability in the logistics industry. It analyzes the environmental impact of logistics activities and explores strategies to minimize service lapses, losses for the new startups, customer dissatisfaction, promote single window service and enhance overall sustainability in logistics operations. To validate the proposed strategies, the research employs a combination of qualitative & questionnaire methods. This includes case studies, interviews with industry experts, and data analysis. The findings highlight the potential benefits of adopting efficient and sustainable logistics practices, including cost savings, improved customer satisfaction, and enhanced competitiveness by retention of customers. Finally, the thesis concludes by providing a comprehensive framework for enhancing efficiency and sustainability within the logistics industry. This framework integrates the identified technologies, practices, and collaborative approaches, offering a roadmap for logistics companies to transform their operations and contribute to a more sustainable future. This framework serves as a guide for logistics companies, policymakers, and industry stakeholders to navigate the evolving landscape and achieve sustainable growth and success. </p>Ranjusha K
Copyright (c) 2024 Ranjusha K
2024-10-252024-10-25Effective Project Leadership Styles for Hybrid Teams in the Australian Banking Industry
https://gbis.ch/index.php/gbis/article/view/540
<p>The Australian banking industry has seen a significant shift towards hybrid work models. This has necessitated effective project leadership to navigate the challenges of managing both remote and face-to-face teams. Although there is a growing focus on project leadership in a hybrid environment, literature on this domain is scarce. There is a limited understanding of the relationship between a Project Manager’s leadership style, Leader-Member Exchange (LMX), and project performance in a hybrid environment. A multi-dimensional Project Leadership Framework, consisting of Ethical, Authentic, Transactional, and Transformational leadership styles, was conceptualized based on the extensive literature review. The Project Leadership Research Model was then developed to validate the multi-dimensionality and effectiveness of a Project Manager’s leadership styles. The study focused on the hybrid project teams in the Australian banking industry and identified the Project Manager’s key leadership styles that can lead to project success. It also examined whether LMX mediates the relationship between Project Manager’s leadership styles and project success. A positivist philosophy with a deduction approach was used to collect data through an online Google Forms survey for quantitative analysis using SPSS Version 29.0. Descriptive and inferential statistics like means, correlation, factor analysis, ANOVA, and regression analyses were used to statistically analyze the data gathered from a valid sample of 82 respondents.<br>The study validated the overlap of leadership styles and the multi-dimensionality of project leadership. It highlighted the critical role of effective leadership styles, particularly Ethical, Authentic, and Transformational, in enhancing project performance within the Australian banking industry. While positively impacting project performance, Transactional Leadership exhibited a weaker influence than other styles. Furthermore, the study revealed that LMX partially mediated the relationship between leadership styles and project performance, underscoring the importance of strong, trust-based relationships between Project Managers and project team members. These findings contribute to the existing body of knowledge on leadership theories and offer practical recommendations for leadership development and improving leadership effectiveness to navigate the complexities of hybrid project teams in the banking industry.<br>Key Words: Hybrid project teams; project management; project manager, authentic leadership; ethical leadership; transactional leadership; transformational leadership; leader-member exchange; project success; project performance; multi-dimensional leadership approach; hybrid work model.</p>Brinda Shrestha
Copyright (c) 2024 Brinda Shrestha
2024-10-082024-10-08Quantum Computing in 6G Networks: Revolutionizing Secure, Intelligent, and Optimized Communication for Future Digital Ecosystems
https://gbis.ch/index.php/gbis/article/view/539
<p>Emerging technologies like quantum computing have the power to completely transform a number of computer and communication system components. Quantum computing is predicted to have a major impact on improving the capabilities of future networks as we approach the development of 6G. An overview of the incorporation of quantum computing in 6G systems is given in this abstract. Quantum computing processes data in ways that are fundamentally distinct from those of classical computing and are based on concepts from quantum mechanics. It makes use of quantum bits, or qubits, which can be in multiple states at once and make it easier to run complex computations in parallel. Quantum computing presents a number of opportunities as well as difficulties in relation to 6G. Secure communication and cryptography are two important areas of application. Many of the current encryption algorithms are vulnerable to quantum computing, hence creating quantum-resistant cryptographic techniques is essential for secure communication on 6G networks. Protocols for quantum key distribution (QKD), which allow cryptographic keys to be exchanged securely, Optimisation and resource management are two other areas where quantum computing can have a big influence. Large volumes of data will be handled by 6G networks, necessitating the effective use of network resources. Tasks like spectrum allocation, traffic management, and network routing can all be optimised with the use of quantum algorithms, improving energy efficiency and network performance.Moreover, advances in AI and machine learning may be made possible by quantum computing. Large datasets may be processed and analysed more quickly using quantum machine learning algorithms, which could enhance 6G systems' predictive models and decision-making abilities.<br>However, incorporating quantum computing into 6G networks presents a number of difficulties. Since quantum computing is still in its infancy, there are still many obstacles to overcome before they can be used widely or scaled up. Furthermore, steady surroundings and extremely low temperatures are necessary for quantum computing, which makes it difficult to implement quantum systems in practical settings.<br>To summarise, quantum processing can possibly fundamentally work on 6G organisations, particularly in the space of AI, cryptography, and advancement. In the 6G era, further research and development in quantum technologies will pave the way for their integration into upcoming communication systems, opening up new possibilities and capacities despite the existence of obstacles. The purpose of research is to explore the Quantum paradigm revolution across the different businesses . The Data communication will be fully secured for Device to Device (D2D ) and Device to Cloud (D2C) communication with Quantum safe cryptography . It will enhance the communication security for Industry 4.0 and 5.0 . Next generation generation Metaverse systems need utmost security , beside AI immersive technologies such as AR/VR/MR/XR, 6G and edge computing are essentials for producing versatile and resilient meta verse . With 6G communication capabilities, communication across land , water and space is possible. Highly reliable and ultra-fast satellite powered internet will thrive in the 6G with mandate of Data Security across the network .When 6G era commences real world quantum computing will start flourishing . Thus quantum safe security solutions have to be in place to ensure versatile and resilient communication.</p>Rajesh Kumar Sharma
Copyright (c) 2024 Rajesh Kumar Sharma
2024-10-082024-10-08Prescriptive Analytics Based Framework for Indian Stock Market Through a Detailed Study of Data Science Techniques
https://gbis.ch/index.php/gbis/article/view/538
<p>This study will focus on developing a prescriptive framework that applies various techniques of data science, machine learning and deep learning to help individual investors understand market opportunities and make educated decisions in the Indian stock market. The study will review existing methodologies and research available in the field of Indian stock markets, identifying market opportunities and applying data science techniques.<br>The study will rely on publicly available data sets related to stock prices and financial reports of individual firms. The study will find answers for research questions and will prescribe a framework for educated decision making in identifying market opportunities. Finally, the study will conclude the results. The study will also recommend further studies and identify limitations of the study.</p>Sulekha Aloorravi
Copyright (c) 2024 Sulekha Aloorravi
2024-10-082024-10-08Leadership and Human Resource Management Imperatives in a Hybrid Work Environment
https://gbis.ch/index.php/gbis/article/view/537
<p>This research explores a key element of our work environment in the post COVID-19 pandemic, that is hybrid working, its challenges and the impact it has had on the management side specifically on senior people leaders, Firstline people leaders and HR professionals in the Indian IT industry. The objective of this study was to research and understand the management sides’ key challenges and then go on to identify the key skills that each of these roles would need to build or hone further, to effectively tackle these challenges. The hypotheses delved into the challenges that people managers and HR professionals experienced about hybrid work environments and how to go about handling the areas that need change. The findings of this research provide a ready reckoner to organizations that are finding it difficult to manage a hybrid work environment, in the form of top organizational policies that need to undergo change, digital tools required, professional and leadership skill requirements and training and development needs.</p>Anjali Nair
Copyright (c) 2024 Anjali Nair
2024-10-082024-10-08Agri-Tech Supply Chain Business Opportunities & Challenges in Rural (Hill Area) India
https://gbis.ch/index.php/gbis/article/view/536
<p>Agricultural technology (Agri-Tech) is poised to revolutionize the agricultural landscape of India's rural hill regions, where traditional farming practices are predominantly prevalent. This thesis explores the multifaceted opportunities and challenges that emerge from integrating Agri-Tech into the supply chains in these areas, aiming to provide a comprehensive understanding of its potential impact on local agriculture and economic development. The study begins by contextualizing the unique environmental, economic, and social dynamics of rural hill areas in India, which are characterized by rugged terrains, limited accessibility, and a lack of infrastructural development. These factors traditionally hinder agricultural productivity and market access, presenting a compelling case for the adoption of technology-driven solutions. Opportunities for Agri-Tech in these regions are vast and varied. One of the significant opportunities identified is the application of precision agriculture technologies, which can lead to optimized input usage such as water, fertilizers, and pesticides, thus enhancing crop yields and sustainability. Moreover, the adoption of digital platforms can play a pivotal role in overcoming information asymmetries by providing farmers with real-time data on weather, soil health, and market prices. Another critical opportunity lies in the use of blockchain and IoT-based technologies to improve supply chain transparency and traceability, reducing losses and ensuring fair compensation to farmers.</p>Santosh Kumar Talachutla
Copyright (c) 2024 Santosh Kumar Talachutla
2024-10-082024-10-08Challenges of Implementation of Artificial Intelligence in Managerial Human Resource
https://gbis.ch/index.php/gbis/article/view/535
<p>The incorporation of Artificial Intelligence (AI) into Managerial Human Resource (HR) management shows potential for improving decision-making processes, but it confronts considerable hurdles. This study investigates these challenges using survey responses to highlight critical areas for improvement, including defining and measuring staff performance, trust in AI-driven judgements, data privacy concerns, technical knowledge, and AI system costs.<br>Key findings show that the subjective nature of performance evaluations, fragmented HR data, and transparency issues greatly impede AI implementation. To solve these issues, the report suggests standardising performance measurements, integrating HR systems, increasing AI transparency, and rigorously resolving data privacy concerns.<br>The recommendations include developing clear, quantifiable performance criteria, unifying HR data into a unified platform, making AI processes public, and establishing strong data protection measures. These measures aim to establish a foundation of trust and efficiency, allowing for more seamless AI integration in HR tasks.<br>Future study should look into the impact of standardised metrics on AI decision-making, the efficacy of integrated HR systems, the importance of transparency in fostering trust, and approaches to balance innovation and data privacy. By tackling these issues,<br>organisations can better leverage AI's promise, assuring fair and successful HR decisions. This study emphasises the significance of strategic implementation and ethical issues in the use of AI in HR, proposing a path for overcoming current limits and optimising the benefits of AI technology in managerial HR.</p>Gunjan Khare
Copyright (c) 2024 Gunjan Khare
2024-10-082024-10-08Female Transformational Leadership and Imposter Syndrome Mitigation in Traditionally Male-Dominated Industries
https://gbis.ch/index.php/gbis/article/view/534
<p>Imposter syndrome (IS) presents a significant barrier to the advancement of women in traditionally male-dominated industries, perpetuating a culture of exclusion and hindering progress towards gender parity in leadership roles. This study investigates the causes, effects, and potential solutions of IS among female workers in male-dominated sectors, focusing on themes identified through interviews with a cohort of female leaders and workers.<br>Through a multi-case study design, the research explores the experiences of women in various male-dominated industries, revealing pervasive themes such as gender imbalance, gender bias, and a lack of female representation in leadership positions contributing to feelings of IS. Participants reported instances of being undervalued, overlooked, and invalidated by a predominantly male leadership, exacerbating feelings of professional inadequacy and hindering career progression.<br>Despite these challenges, participants offered valuable insights and recommendations for combating IS in the workplace. Strategies suggested included establishing support networks, promoting open and transparent discussions about IS, fostering inclusivity and equality, implementing an open-door policy, providing training and development programs for both men and women, and encouraging mentorship opportunities.<br>Mentorship emerged as a particularly effective tool for providing resilience and combating IS, with female mentors playing a crucial role in inspiring confidence and guiding career trajectories in male-dominated industries. The findings underscore the importance of transforming organizational cultures to promote diversity, equity, and inclusion, thus creating environments where women feel supported, valued, and empowered to overcome the barriers posed by IS.<br>Overall, this study contributes to a deeper understanding of the complexities surrounding IS in traditionally male-dominated industries and offers practical strategies for fostering a more inclusive and supportive workplace environment conducive to the advancement of women into leadership positions.</p>Karisma Ramesh
Copyright (c) 2024 Karisma Ramesh
2024-10-082024-10-08Decarbonizing the Indian Dream: A Localized Framework for Sustainable Growth in the Building Sector
https://gbis.ch/index.php/gbis/article/view/528
<p>The building sector is a significant source of greenhouse gas emissions and is critical to achieving Net Zero by 2070 in India. This thesis proposes a strategic plan for decarbonizing energy and water efficiency in the building sector. The plan consists of a framework that integrates various technological, financial, and social aspects of the transition, such as renewable energy, building envelope optimization, intelligent water management, green roofs, rainwater harvesting, green bonds, performance contracts, and user perceptions. The thesis uses Quantitative methods to assess the framework's feasibility, effectiveness, and acceptability based on data collected from surveys, interviews, and case studies. The thesis provides actionable insights for corporate management, businesses, building professionals, and policymakers and aims to be the first comprehensive blueprint for India's building sector decarbonization. The thesis demonstrates that the framework can reduce building sector emissions by 30%, and save 40% of energy and 50% of water consumption, contributing to sustainable growth and Net Zero achievement.</p>Vijay Kanda
Copyright (c) 2024 Vijay Kanda
2024-10-082024-10-08Improving Complementary-Product Recommendations Using Deep Neural Networks
https://gbis.ch/index.php/gbis/article/view/533
<p>This research inspects the integration of Deep Neural Networks (DNNs) into recommendation systems, focusing on improving the personalization and accuracy of complementary-product suggestions in e-commerce. Study begins with thoroughly examining existing methodologies in recommendation systems, including conventional approaches like content-based and collaborative filtering also advanced techniques involving neural networks like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). These technologies are analyzed for their effectiveness in comprehending and predicting complex user-item interactions more efficiently than traditional methods.<br>To implement and assess these advanced methodologies, the study leverages the 'LightFM' library to extract and preprocess user rating data from the MovieLens dataset. It concentrates on high-rating interactions to ensure the model focuses on positive user experiences. The preprocessing steps involve data cleansing, normalization, and conversion of ratings into a binary format, simplifying the neural network's training and prediction processes.<br>A critical aspect of this research involves developing a customized DNN model specifically designed to recommend complementary products. This model is carefully trained and evaluated, and its architecture allows for both non-linear and linear interpretation between user as well as item data, capturing intricate patterns that reflect genuine user preferences. The model's performance is rigorously tested against traditional recommendation systems, highlighting its superior ability in terms of user satisfaction, scalability, and accuracy.<br>Research indicates that DNNs significantly enhance recommendation quality by providing more personalized and dynamic suggestions compared to conventional models. The adaptability of DNNs to changing user behavior’s and preferences demonstrates their potential to support real-time and responsive recommendation systems. For e-commerce businesses, this translates to increased customer engagement, higher retention rates, and an overall improvement in user experience.<br>Overall, research advances academic understanding of DNN applications in recommendation systems. It offers practical insights for e-commerce practitioners seeking advanced machine learning technologies to refine their marketing strategies and product offerings. The continued integration of deep learning could redefine personalization and efficiency in digital shopping environments, promising a bright future for recommendation systems.</p>Rajesh More
Copyright (c) 2024 Rajesh More
2024-10-072024-10-07