https://www.gbis.ch/index.php/gbis/issue/feed Global journal of Business and Integral Security 2024-02-15T03:31:24-08:00 GBIS Journal gbis@ssbm.ch Open Journal Systems <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 &amp; 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&amp;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> https://www.gbis.ch/index.php/gbis/article/view/312 Leveraging Machine Learning in the Age of Digital Transformation: Strategies for Employee Retention in IT-Tech - Case Study 2024-02-15T03:31:24-08:00 Rajadurai Narayanamurthy rajadurai77@gmail.com <p>In today's competitive job market, employee retention remains a critical concern for<br>Information Technology (IT) companies. With turnover rates escalating, the urgency to<br>understand, predict, and improve employee retention has become paramount. This thesis<br>aims to develop predictive models for employee retention in the IT sector using machine<br>learning algorithms to forecast an employee’s likelihood of leaving the company, thereby<br>aiding in timely intervention strategies.<br>Data from several IT companies, encompassing a wide array of variables such as age,<br>tenure, job satisfaction, and performance metrics, were collected and rigorously analyzed.<br>Different machine learning models, including Logistic Regression, Random Forest, and<br>Support Vector Machines, were trained and evaluated based on their prediction accuracy,<br>precision, recall, and F1 Score. The results were further subjected to cross-validation to<br>ensure robustness and reliability.<br>Our study found that Random Forest outperformed other models, with an accuracy rate of<br>92%. Important features like job satisfaction levels, age, and recent promotions were<br>identified as significant predictors of employee retention. These insights not only provide<br>a scientific basis for human resources decisions but also pave the way for more<br>personalized, data-driven employee retention strategies.<br>By leveraging machine learning algorithms to predict employee attrition, this research<br>offers a novel approach to an age-old problem, reflecting the potential for technology to<br>revolutionize human resources management in the IT industry. The models and insights<br>derived from this study aim to serve as a catalyst for future research and practical<br>applications focused on optimizing workforce stability and job satisfaction.</p> 2024-02-15T00:00:00-08:00 Copyright (c) 2023 Rajadurai Narayanamurthy https://www.gbis.ch/index.php/gbis/article/view/310 Planned and Organized Deficit Spending (PODS) 2024-01-23T00:28:29-08:00 Vidur Sahgal vidur.vidurraj@gmail.com <p>This is the first time that “Planned and Organized” has been added to the words “Deficit Spending”. Modern Monetary Theory (Mitchell, 2014, 2022; Mosler, Mitchell and Watts, 2019), a comparable alternative, originally sourced to Australian economist Bill Mitchell and developed further by him, Warren Mosler, and L. Randall Wray (Wray, 2019) way back in 1992, and Professor Stephanie Kelton’s book published in June 2020 called “The Deficit Myth” (Kelton, 2021), came close to realizing PODS (Sahgal, 2022), but the major difference between PODS and MMT was that MMT still believed in taxes, whereas PODS does not.<br>Planned and Organized Deficit Spending (PODS) is an extension of the Distributed Equilibrium Allowable Deficit Spending Theory (DEADS). It says that deficit spending can be planned and organized in a way that could make taxes unnecessary and reduce capital shortages and market fluctuations (inflation or deflation). About DEADS (PODS original avatar, followed by OPDS, and now finally PODS), ‘allowable’ meant subject to the resources available other than money. Instead of ‘equilibrium’, resources available and produced for an economy’s population in each period were the critical requirement. This would gradually be built up to a sustainable saturation level of supply for any given product, service, or agro in an economy. Assuming the supply lags away, this implies that eventually, any product introduced into the economy can immediately, or gradually, achieve full and sustainable supply; therefore, ‘saturation’ is the more important target. PODS will not cause any displacement of relevant current personnel. The economic and commerce sectors will require millions of additional personnel, thereby creating more employment opportunities. New roles would require minimal training in the theory.<br>The subject of Economics has its head underground amidst sophisticated math and statistical methods and analysis that give the impression, like to an ostrich, that everything is going well mathematically with one’s head underground but not at ground level. Every time someone blames the subject, math becomes even more complicated and sophisticated while serving no real purpose. To prove PODS theory, there is no need for rigorous mathematics; rather, economists should understand the logic of PODS: the Liabilities of issued E-Digital Cash are balanced with Assets made from this E-Digital Cash. Maybe after reading PODS, the math and statistical analysis, along with other econometric and regression analysis tools, will be able to manage economics as a subject where all of us, as economists, settle the entire world. It is no longer “Economics” or home accounts and finances; it is “Arthshastra—the meaning of an economic or commercial decision, at any given moment, based on mutually acceptable exchange.</p> 2024-01-23T00:00:00-08:00 Copyright (c) 2023 Vidur Sahgal https://www.gbis.ch/index.php/gbis/article/view/308 Synchronizing Leadership and Culture: A Roadmap for Organizational Success in the Disruptive Age 2024-01-22T02:39:15-08:00 Venkat Adivi venkee12@gmail.com <p>The onset of the digital age has brought with it an unprecedented wave of disruptions, compelling organizations to rethink traditional approaches to leadership and culture. This thesis explores the symbiotic relationship between organizational culture and leadership, laying down a comprehensive roadmap for synchronizing these critical elements to navigate the complexities of the disruptive landscape. Utilizing a mix of qualitative and quantitative research methods, including literature review, case studies, and survey-based data collection, the study offers empirical insights into how mid-level management serves as crucial culture carriers and implementors of abstract strategic concepts. The research also examines the transformative power of culture-driven leadership in diverse contexts, focusing on its role in enhancing organizational performance metrics.<br>Recommendations for practitioners and future researchers have been provided, suggesting ways to implement culture-centric leadership at various organizational stages and across diverse industries. Key case studies like Nadella's transformation of Microsoft and concepts like Mythopoetic Leadership have been cited to offer real-world examples of successful implementation of this approach. The thesis makes a compelling argument for a self-sustaining culture shaped by aligned leadership as the cornerstone for ensuring organizational readiness and resilience in a disruptive age.</p> 2024-01-22T00:00:00-08:00 Copyright (c) 2023 Venkat Adivi https://www.gbis.ch/index.php/gbis/article/view/307 Teach the Child and Not the Subject Alone: Building Entrepreneurial Competencies in Teachers to Meet the Challenges of the 4th Industrial Revolution 2024-01-18T03:06:37-08:00 Sarojini Rao raonani3@gmail.com <p>The purpose of education is to prepare students for a life which is getting increasingly uncertain and ambiguous. They will also have to co-exist in a highly technology driven environment. Information is getting outdated every day and AI has taken over most cognitive skills. The readiness for this starts with the teacher. The whole concept of teach the child and not the subject alone emanates from here.<br>The mantra is Human Intelligence + Artificial Intelligence = Innovative Intelligence. It is a collaborative effort.</p> 2024-01-18T00:00:00-08:00 Copyright (c) 2023 Sarojini Rao https://www.gbis.ch/index.php/gbis/article/view/306 Customer Segmentation for Online Retailers Using RFM Modeling to Adopt Profitable Customer-Centric Marketing Strategies 2024-01-18T03:03:44-08:00 Debendra Ray debray2523@gmail.com <p>Customer Segmentation is the process of segregating customers based on some prominent features that could help online retailers sell more products with less marketing expenses. This process's rationale is the belief that customers exemplify differences in their attitude, behaviour, and demography. An unsupervised machine learning techniques like cluster modelling can develop groups or segments of a customer population. The goal is to create separate groups, but the groups themselves have closely related features, and this can be a powerful means to identify unsatisfied customer problems. In keeping with this data, companies can outperform the competition by developing customized marketing campaigns, designing an optimal distribution strategy, choosing specific product features for deployment, and prioritizing new product development efforts. Thereby, customer segmentation enables a company to customize its relationships and deliver personalized experiences to customers.<br>This research aims to develop a good understanding of the company's customer base and its behaviour, using the RFM (Recency, Frequency, Monetary) model to accurately classify existing customers' to underscore its most profitable customer groups.<br>The purpose of this research is to help the company invest in these customers' segments to generate revenue, reduce costs and be profitable.<br>This research will also predict the items customers will buy in the future using a collection of machine learning techniques: SVM, Logistic Regression, Decision Tree, Random Forest, Adaboost, Ensemble Classifier. This research will essentially categorize the selected customer base of a UK-based online retailer into appropriate customer segments and predict future purchases based on the customer segmentation.</p> 2024-01-18T00:00:00-08:00 Copyright (c) 2023 Debendra Ray https://www.gbis.ch/index.php/gbis/article/view/305 Understanding the Use of Management Techniques Used by Local Information Technology Companies in India to Overcome Multinational Barriers 2024-01-18T02:59:54-08:00 Abhinav Kumar Das abhinav.das04@gmail.com <p>In the dynamic landscape of the global information technology (IT) industry, local companies in India face unique challenges when striving to expand their operations beyond national borders. This study delves into the strategic management techniques employed by Indian IT companies to navigate and overcome barriers associated with multinational operations. The research employs a qualitative approach, combining in-depth interviews with key executives, case studies of successful ventures, and a comprehensive review of existing literature.<br>The study identifies key challenges such as cultural differences, regulatory complexities, and diverse market landscapes that Indian IT companies encounter during their international expansion. Through an exploration of successful case studies, the research aims to uncover patterns of management strategies implemented by these companies to not only mitigate these challenges but also leverage them as opportunities for growth.<br>By understanding the specific managerial approaches adopted by Indian IT firms, this research contributes valuable insights into how local enterprises can strategically position themselves in the global IT ecosystem. The findings of this study have implications for both practitioners and policymakers, offering a nuanced understanding of the management techniques that foster success in the internationalization efforts of Indian IT companies.<br>This research contributes to the broader discourse on the globalization of IT enterprises, shedding light on the adaptive strategies that local IT companies in India employ to thrive in an environment traditionally dominated by multinational corporations.</p> 2024-01-18T00:00:00-08:00 Copyright (c) 2023 Abhinav Kumar Das https://www.gbis.ch/index.php/gbis/article/view/304 Use of Financial Ratios in Identifying Jet Airways' Financial Distress 2024-01-18T02:46:45-08:00 Vasudevan Rengaswamy swamy.renga@gmail.com <p>The aviation sector is a crucial contributor to GDP. Jet Airways, a prominent airline in India, is currently facing significant financial distress, necessitating a thorough examination to support its ongoing contribution to the country's economy and overall growth. The research questions are: What causes financial distress for Jet Airways? How should the airline use the financial process ratio to analyze to come out of financial distress? How can financial ratios help forecast the debt crisis? This study is significant because the financial ratio estimates will help identify financial distress at Jet Airways, thus providing fairness and returns to both investors and creditors of this company. The study uses liquid asset theory and liquidity and profitability theories. In addition, the study employs a mixed research design based on qualitative and quantitative analysis of data from Jet Airways’ financial statements.<br>The findings of this study reveal that Jet Airways' financial distress originated from severe financial difficulties due to a combination of factors, including high fuel prices, a depreciating Indian rupee, intense competition, and rising debt levels. Furthermore, empirical analysis results obtained through Altman’s Z-score and logistic regression models revealed that financial ratios that are categorized as profitability and liquidity are significant predictors of financial distress for Jet Airways. Consequently, for the airline to avoid future bankruptcy, it must implement an effective debt management plan and adopt robust cost reduction measures.</p> 2024-01-18T00:00:00-08:00 Copyright (c) 2023 Vasudevan Rengaswamy https://www.gbis.ch/index.php/gbis/article/view/303 Information Technology Service Management: Development over the Last 25 Years, Challenges, and Future Opportunities 2024-01-18T02:43:57-08:00 Santosh Kumar Pattanayak santosh.pattanayak@gmail.com <p>Over the years, Information Technology (IT) has been able to establish itself as a vital tool for businesses to thrive in the modern world. Most of the business services are either a fully digital service or enabled by IT services. Over dependence on IT services demands IT service providers to provide a stable service that is in pace with the ever-changing demands of industry. Information technology service management (ITSM) has gained its popularity as it ensures that IT systems deliver a stable and evolving service as dictated by the business environment. Researchers have started taking interest on this field of IT, however, there is not much scholarly paper available for overall ITSM developments. This research project studied the journey of ITSM over the last 25 years, evaluate different frameworks available in the market and present the differences between various frameworks. It also evaluated the frameworks for implementation in various organizations. Further, this study examined future trends (such as Artificial Intelligence (AL)/ Machine Learning (ML) and challenges of ITSM implementation. As AI/ML is catching up very fast, this paper recommends future researchers to develop more and more models using AI/ML for improvements in IT services field.</p> 2024-01-18T00:00:00-08:00 Copyright (c) 2023 Santosh Kumar Pattanayak https://www.gbis.ch/index.php/gbis/article/view/302 The Assessment of Effective Strategic Management Taxonomy in Reformulating Efficient Modern Management Disciplines for Promoting Organizational Growth and Development of Corporate Organizations in Thailand 2024-01-18T02:40:35-08:00 Suwanna Vongsurakrai suwannavongsurakrai.dba@gmail.com <p>This doctoral dissertation presents a practical examination of the<br>quantitative impact of a strategic management taxonomy on the growth and<br>development of Thai corporate organizations. By incorporating quantitative<br>analysis, this research aims to provide a pragmatic perspective on the application<br>of strategic management taxonomy within the context of organizational growth.<br>The research delves into the specific variables that contribute to successful<br>implementation and integration, while considering the unique challenges posed<br>by the dynamic business environment in Thailand. The primary objective of this<br>study is to assess the effectiveness of a strategic management taxonomy as a<br>powerful tool for reshaping contemporary management practices, thereby<br>fostering long-term growth and success.<br>By conducting a comprehensive quantitative analysis, the research seeks<br>to validate the applicability and influence of the strategic management taxonomy.<br>This is achieved through the thorough examination of case studies and empirical<br>data, offering actionable insights that can lead to the refinement and practical<br>implementation of the strategic management framework within enterprises.<br>Focusing on the distinct landscape of the Thai business environment,<br>characterized by cultural nuances, regulatory frameworks, industry dynamics,<br>and market conditions, this study intends to provide context-specific insights. It<br>acknowledges the multifaceted challenges that organizations face in today's<br>rapidly evolving business landscape, encompassing technological<br>advancements, shifting customer expectations, global competition, and market<br>dynamics. With this backdrop, the strategic management taxonomy assumes<br>pivotal importance in aligning objectives, resources, and capabilities with the<br>external environment. The research methodology comprises a multidimensional<br>approach, combining case study analysis, surveys, interviews, and data analysis.<br>The study evaluates existing strategic management strategies employed<br>by Thai corporations, identifying strengths and weaknesses. It systematically<br>gathers relevant data on strategic management processes, implementation<br>strategies, and performance outcomes. The collected data undergoes rigorous<br>statistical analysis, utilizing techniques such as descriptive statistics, correlation<br>5<br>analysis, and regression analysis. Within this analytical framework, the study<br>investigates the influence of corporate culture, leadership support, employee<br>engagement, and change management strategies on the successful deployment<br>and integration of the strategic management taxonomy. By dissecting these<br>independent variables, the research aims to identify their respective impacts on<br>organizational outcomes, thereby offering actionable insights for improved<br>decision-making and resource coordination.<br>In conclusion, this dissertation offers a quantitative exploration of the<br>strategic management taxonomy's role in reshaping modern management<br>practices to drive the growth and development of Thai business organizations.<br>The study bridges the gap between theory and practice by systematically<br>evaluating the taxonomy's impact, aligning it with the unique challenges of the<br>Thai business environment. The research contributes to the existing body of<br>knowledge on strategic management and provides practical guidance for<br>organizations seeking sustained growth and success in today's dynamic<br>business landscapes.</p> 2024-01-18T00:00:00-08:00 Copyright (c) 2023 Suwanna Vongsurakrai https://www.gbis.ch/index.php/gbis/article/view/301 Understanding the Psychology of Infertile Couples as a Tool to Grow IVF Clinic Patient Numbers 2024-01-18T02:21:30-08:00 Pophale Suryakant pophalesuryakant392@gmail.com <p>Within the context of the competitive healthcare industry, in vitro fertilization (IVF) clinics<br>face multifaceted challenges in achieving and sustaining growth and success as businesses.<br>While medical expertise undoubtedly plays a critical role, there is a growing realization<br>that a broader understanding of the business dynamics, patient experience, and the<br>integration of innovative technologies is essential. This research problem centers on<br>identifying the pivotal factors and strategies that influence the business growth and success<br>of IVF clinics. The landscape of healthcare is continuously evolving, driven by<br>advancements in medical science, changing patient demographics, and heightened<br>consumer expectations. In this rapidly shifting environment, IVF clinics are no exception<br>and are confronted with the imperative to adapt and thrive. Traditionally, the success of<br>IVF clinics has been primarily measured in terms of clinical outcomes, such as pregnancy<br>rates and healthy births. However, a more holistic view is emerging, recognizing that the<br>business aspects of these clinics are integral to their overall prosperity. Medical expertise<br>forms the foundation of IVF clinics, and their clinical outcomes are paramount. Yet, the<br>business of IVF extends beyond medical proficiency. A nuanced understanding of the<br>business landscape is indispensable for navigating the intricacies of healthcare economics,<br>insurance reimbursements, and regulatory compliance. To thrive, IVF clinics must blend<br>medical excellence with astute business acumen. Patient experience is another pivotal<br>dimension that directly impacts the success of IVF clinics as businesses. Patients<br>embarking on the challenging IVF journey often grapple with emotional and financial<br>stress. Clinics that prioritize compassionate, patient-centered care are more likely to<br>engender trust and loyalty. Positive patient experiences not only lead to higher patient<br>retention but also generate word-of-mouth referrals, a potent driver of business growth.<br>Furthermore, the integration of innovative technologies plays a transformative role in<br>shaping the future of IVF clinics. Advancements in assisted reproductive technologies,<br>electronic health records, and telemedicine are revolutionizing the way clinics operate.<br>Embracing these technologies can enhance operational efficiency, improve patient care,<br>and expand the reach of IVF clinics. Overall, the business success of IVF clinics is a<br>multidimensional endeavor that necessitates a comprehensive approach. This research<br>endeavor seeks to unearth the critical factors and strategies that underpin the growth and<br>prosperity of IVF clinics. By examining the intersection of medical excellence, patient<br>experience, and technological innovation, this study aims to provide valuable insights that<br>can empower IVF clinics to thrive in the evolving healthcare landscape. Ultimately, the<br>holistic success of IVF clinics not only benefits the clinics themselves but, most<br>importantly, the individuals and couples who entrust them with their dreams of parenthood.</p> 2024-01-18T00:00:00-08:00 Copyright (c) 2023 Pophale Suryakant