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Learning Resource Centre Monthly Bulletin |
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Learning Resource Centre Monthly Bulletin |
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| New Books |
 RM 240 Rural Marketing By Sanal Kumar Velayudhan | RM 241 Rural Renaissance By L. Michelle Moore | RM 242 Enterprising Agriculture By Banerjee Sharmishtha Mohua Banerjee Suneel Kunaman |
| Click Here to learn about the Recent Books added to our collection on different topics of Management. |
| Articles |
| Redefining rural entrepreneurship By Candelario-Moreno, Cristina1, Sánchez-Hernández, María Isabel Journal of Entrepreneurship, Management & Innovation. 2024, Vol. 20 Issue 2, p36-52. 17p. Abstract :PURPOSE: Regarding the growth of public policies fostering rural entrepreneurship, the primary objectives of this work involve examining the concept of rural entrepreneurship, identifying key aspects that differentiate it from non-rural entrepreneurship, and assessing the role of the local entrepreneurial ecosystem in supporting the initiation and growth of rural ventures. To achieve these goals, the study adopts a novel approach by integrating an analysis of rural entrepreneurship features with an exploration of the entrepreneurial ecosystem`s impact. METHODOLOGY: After a review of the previous academic literature, the characteristics of rural entrepreneurship have been delimited, distinguishing it from non-rural. The research results have been obtained using a questionnaire, after a descriptive analysis of the sample, and an analysis of the difference in means by contrasting hypotheses using IBM SPSS Statistics 26. FINDINGS: This article explores the factors that contribute to rural entrepreneurship, challenging the notion that geographic location is the sole defining characteristic. Through the conducted investigation, it has been determined that a company`s classification as rural is not solely based on its geographical location in rural areas or involvement in primary sector activities. Other aspects, such as a strong connection with the local community or the ability to create value, are also essential in defining a rural enterprise. Additionally, it examines how business ecosystems can foster the growth and success of rural entrepreneurship. IMPLICATIONS: This study provides an analysis of how rural entrepreneurship can drive endogenous development in rural areas. It also offers insights for government entities and policymakers to implement effective support measures and strategies in business ecosystems within rural environments. This study highlights that the resources found in rural entrepreneurial ecosystems may not be sufficient to support rural entrepreneurship. It`s important to acknowledge that rural entrepreneurship requires specific resources that may not currently be available in business ecosystems. To increase the number of viable rural businesses, new resources tailored to rural entrepreneurship must be created, leveraging the area`s endogenous resources and growth models. ORIGINALITY AND VALUE: This study examines the distinctive attributes of rural entrepreneurship, with a deliberate departure from exclusive emphasis on geographical location or primary economic sector. Drawing upon empirical research conducted among a cohort of rural enterprises, the analysis reveals that neither physical location nor primary sector affiliation substantially contribute to the establishment of these rural businesses. Instead, a profound connection to, and a heightened sense of belonging within the rural milieu emerge as pivotal determinants. Furthermore, rural entrepreneurship emerges as a promising avenue for the development of the region, | |||
| Development of Large-Scale Farming Based on Explainable Machine Learning for a Sustainable Rural Economy By Kang, Yuelin Applied Artificial Intelligence. 2023, Vol. 37 Issue 1, p1-23. 23p. Abstract :Risk management is essential to every organization`s management plan. It is the strategy by which organizations handle the risks involved with their actions to profit or avoid making decisions that will cost them financially in each activity. Identifying and mitigating potential digital threats and developing and implementing procedures to significantly reduce the likelihood of an organization being targeted by cyberattacks are at the core of effective risk management. This is especially true regarding the risks associated with an organization`s digital footprint. A particularly significant threat to reputation, but also at the same time indirect and direct costs, is the data breach that occurs when a security incident occurs about the data for which the organization is responsible, which results in a violation of confidentiality, availability, or the integrity of the data it manages. On the other hand, the rapid development of technology has transformed the agricultural industry, allowing for large-scale farming based on machine learning and other advanced tools. However, this transformation also exposes farms to cyber risks that can lead to costly data breaches. In this study, we propose a framework for incorporating explainable machine learning (exML) techniques into large-scale farming to enhance cyber risk analysis, mitigate cyber threats, and foster a sustainable rural economy. Specifically, given that an organization needs to implement the appropriate technical and organizational measures to avoid possible data breaches, this work presents an analytical stochastic modeling of risk with a multi-criteria objective function of low complexity, a factor in an incentive system, to model investment value and cost balancing. The motivation behind the proposed method is to improve cybersecurity, protect data and reputation, foster a sustainable rural economy, leverage explainable machine learning, and adapt to the changing technological landscape. By addressing these motivations, the method aims to provide a comprehensive and effective approach to cyber risk analysis in large-scale farming. | |||
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| News |
| E-commerce market to hit $325 billion by 2030, rural India to lead growth By Business Standard; Apr 29 2024 |
| What needs to be done to help rural students cross the digital divide By The Hindu; Apr 27 2024 |
| Signs of change in rural economy By The Financial Express, Apr 20 2024 |
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