DHARANA - Bhavan's International Journal of Business http://mail.informaticsjournals.com/index.php/dbijb <p><img class="media-object" style="width: 222px; float: left; margin: 0px 16px 15px 20px;" src="https://www.informaticsjournals.com/public/journals/60/journalThumbnail_en_US.png" /><strong>Editor :</strong> B.V. Pushpa<br /><strong>Online ISSN</strong> : Applied for<br /><strong>Print ISSN :</strong> 0974-0082<br /><strong>Frequency :</strong> Biannual<br /><strong>Publisher/s :</strong> Informatics Publishing Limited and M. P. Birla Institute of Management</p> <p>DHARANA - Bhavan's International Journal of Business is a Bi-annual publication started in 2007. The journal invites articles with a focus on different management issues pertinent to the Indian economy and corporate sector. Service quality is another aspect of management that is of considerable interest to us. <br /><span style="color: blue;">The Journal is Indexed in i-Scholar, J-Gate Plus, Google Scholar.<br /><a href="http://www.i-scholar.in/" target="blank"><img src="https://www.srels.org/public/journals/57/scholar.png" alt="" width="160" height="77" /></a><a href="http://jgateplus.com/" target="blank"><img src="https://www.srels.org/public/journals/57/jgate.png" alt="" width="160" height="77" /></a><a href="https://scholar.google.com/citations?hl=en&amp;view_op=list_hcore&amp;venue=dsrh74Bjgo8J.2020" target="_blank" rel="noopener"><img src="https://www.srels.org/public/journals/57/google.png" alt="" /></a><br /></span></p> Informatics Publishing Limited and M. P. Birla Institute of Management en-US DHARANA - Bhavan's International Journal of Business 0974-0082 Think Again: The Power of Knowing What You Don’t Know by Adam Grant http://mail.informaticsjournals.com/index.php/dbijb/article/view/44268 <p>No Abstract.</p> S. Satyanarayana Copyright (c) 2024 S. Satyanarayana http://creativecommons.org/licenses/by/4.0 2024-08-14 2024-08-14 45 46 10.18311/dbijb/2024/44268 Winning by Jack Welch and Suzy Welch http://mail.informaticsjournals.com/index.php/dbijb/article/view/45018 <p>No Abstract.</p> Hema Harsha Copyright (c) 2024 Hema Harsha http://creativecommons.org/licenses/by/4.0 2024-08-14 2024-08-14 47 48 10.18311/dbijb/2024/45018 Investments: Analysis and Management by Gerald R. Jensen and Charles P. Jones http://mail.informaticsjournals.com/index.php/dbijb/article/view/45017 <p>No Abstract.</p> S. Sathyanarayana Copyright (c) 2024 S. Sathyanarayana http://creativecommons.org/licenses/by/4.0 2024-08-14 2024-08-14 49 50 10.18311/dbijb/2024/45017 Applications of Arithmetic Mean and Geometric Mean in Statistical Analysis http://mail.informaticsjournals.com/index.php/dbijb/article/view/44356 <p>No Abstract.</p> S. Santhanam Copyright (c) 2024 S. Santhanam http://creativecommons.org/licenses/by/4.0 2024-08-14 2024-08-14 41 43 10.18311/dbijb/2024/44356 A Comparative Analysis of Traditional vs AI Drive Recruitment Methods http://mail.informaticsjournals.com/index.php/dbijb/article/view/44761 <p>This study presents a comparative analysis between traditional vs AI-driven recruitment methods. It focuses on key areas such as efficiency, benefits, cost-effectiveness and candidate experience. Further, the research will investigate how each method impacts recruitment outcomes. The research methodology implemented in this study involves online surveys, interviews, and analysis of recruitment data from different industries to provide a comprehensive understanding of the topics. The result shows how companies, which also includes start-ups and innovative companies are using both AI-based and traditional methods to make the recruitment process easy and to attract, assess and acquire talent effectively. Further, the report discusses the future recruitment processes, glancing at the possibility of hybrid approaches that merge the advantages of both AI-based and traditional recruitment methods. Altogether this paper provides the perspective of the efficiency, advantages, and candidate experience on the traditional and AI-driven recruitment methods.</p> Akhila S. Hegde Shushree Chinmayee Dwibedy Copyright (c) 2024 Akhila S. Hegde, Shushree Chinmayee Dwibedy http://creativecommons.org/licenses/by/4.0 2024-08-14 2024-08-14 3 10 10.18311/dbijb/2024/44761 Predictive Analytics and Natural Language Processing: Enhancing Leadership Decision-Making http://mail.informaticsjournals.com/index.php/dbijb/article/view/44760 <p>Artificial Intelligence has a big influence on leadership and decision-making in the twenty-first century. This abstract explores the beneficial relationship between Artificial Intelligence (AI) and leadership. This paper examines how AI supports decision-making by offering predictive analytics and actionable insights (effective decision-making). A key component of utilising AI for decision-making is natural language processing, which facilitates seamless interaction between humans and machines through sematic comprehension and sentiment analysis (understanding the emotion behind the message). Moreover, predictive analytics makes use of AI algorithms to predict possible outcomes and forecast future trends, reducing risk and maximizing resource utilization. Leaders may reduce risk, allocate resources more efficiently and promote innovation by utilizing AI. Just as Chanakya’s Arthashastra influenced administration in ancient India, Artificial Intelligence (AI) is fast emerging as a crucial advisor and guide for leaders today. The governance and strategy tents of Arthashastra are in line with contemporary AI-powered leadership, which supports well-informed choices based on thorough data analysis. A leader must carefully consider how their emotional intelligence, morality and real-world experience compare to the guidance given by AI. The most effective modern leaders will blend artificial intelligence’s computational proficiency with human traits like wisdom, empathy and judgement. This research draws on both modern AI developments and age-old wisdom from writings like <em>Arthashastra</em>, emphasising the necessity for leaders to embrace AI as a strategic ally in decision-making processes.</p> A. Divya Laxmi K. M. Chandana Copyright (c) 2024 A. Divya Laxmi, K. M. Chandana http://creativecommons.org/licenses/by/4.0 2024-08-14 2024-08-14 11 14 10.18311/dbijb/2024/44760 The Influence of Product Development and Innovation on Capturing Market Dominance http://mail.informaticsjournals.com/index.php/dbijb/article/view/44267 <p>New product creation is the primary calculate of financial progression laying out the monetary strategic advantage. The life cycle of products turns out to be moderately concise and it patterns to be more limited step by step. It implies that innovation turns into the key driver force in the economy. The innovation level is not adequate in Latvia. Perhaps of the most significant member in the innovation business will be business hatcheries in Latvia. This examination concentrate on burdens the job of assessment of each phase of innovation processes. The creators present an original strategy for the assessment of innovation processes stage by stage. This philosophy permits to distinguish the key difficulties that repress innovation. This technique permits to make substantial thoughts for improving the imaginative environment in the country. The consequences of the overview were broke down using the Likert model through SPSS examination, as it is the situation with this type of analytical exploration. Likewise, proposals and conclusion were made in light of the discoveries, and ends were delivered focusing on the fundamental worries of the review.</p> G. Mahesh Copyright (c) 2024 G. Mahesh http://creativecommons.org/licenses/by/4.0 2024-08-14 2024-08-14 15 21 10.18311/dbijb/2024/44267 The Impact of Government Initiatives on Sustainable Water Management and Agriculture http://mail.informaticsjournals.com/index.php/dbijb/article/view/44251 <p>This study showcases the essential shift towards sustainability in Indian agriculture. Authors have delved into newspaper articles, research papers, public reports and surveys to achieve this objective. India is an agricultural powerhouse, producing a wide variety of crops and livestock. The agriculture sector employs over 50 per cent of the population and contributes 17 per cent to the GDP. However, India's agriculture sector is facing several challenges, including climate change, water scarcity, and rising input costs. There are pressing challenges of resource depletion, climate change, and food security. Through an interdisciplinary lens, this research investigates Water management strategies, Technology integration to enhance resilient and environmentally conscious agricultural systems and Credit Facilities for farmers to carry out sustainable agriculture. The prospects and difficulties of sustainability in the agriculture industry are identified by this study. The outcomes of the investigation are intended to give suggestions to policymakers, farmers, and the agriculture industry to ensure a sustainable future for India's agriculture.</p> S. Prashanth V. Bhoomika Copyright (c) 2024 S. Prashanth , V. Bhoomika http://creativecommons.org/licenses/by/4.0 2024-08-14 2024-08-14 23 34 10.18311/dbijb/2024/44251 Inclusion to Innovation: How Leaders can Create a Culture of Creativity http://mail.informaticsjournals.com/index.php/dbijb/article/view/44266 <p>Within an organization, leadership is thought to have a particularly significant impact on creativity and innovation. The promotion of employee well-being and competitive advantage through inclusion is a critical component of global company and is suggested as a novel way to diversity management. This study aimed to investigate how inclusive leadership plays a vital role in generating innovative work behavior. This study collected data from managerial-level employees of various businesses. This study suggests that industry leaders should adopt an inclusive leadership style to enhance employees innovative work behavior and overall industry performance.</p> S. Vijayalakshmi Hema Harsha Copyright (c) 2024 S. Vijayalakshmi, Hema Harsha http://creativecommons.org/licenses/by/4.0 2024-08-14 2024-08-14 35 38 10.18311/dbijb/2024/44266 My Favorite Books http://mail.informaticsjournals.com/index.php/dbijb/article/view/44800 <p>No Abstract.</p> Er. N. Ramanuja Copyright (c) 2024 Er. N. Ramanuja http://creativecommons.org/licenses/by/4.0 2024-08-14 2024-08-14 1 2 10.18311/dbijb/2024/44800