http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/124 2026-10-18T10:11:33Z http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/13181 Title: Women’s entrepreneurship as a driver of the synergistic cycle of SDGs: Insights from Sri Lanka Authors: Dilogini, S.; Shivany, S. Abstract: This chapter explores the linkages between inclusive women’s entrepreneurship (WE) in SriLanka and three Sustainable Development Goals (SDGs): SDG 3 (good health and well-being),SDG 5 (gender equality), and SDG 8 (decent work and economic growth). This research aims toexplore how WE activities can contribute to inclusive and sustainable socioeconomic growth andthe synergistic effects between these SDGs. Using a qualitative case study of women-led Micro, Small, and Medium Enterprises (WMSMEs)in Sri Lanka, the chapter reveals significant links between inclusive WE and the three SDGs. Theexperiences and contributions of these entrepreneurs are analyzed, with transcripts coded toidentify themes. Findings provide insights into the challenges, achievements, and interconnectedimpacts of WE on health and well-being, gender equality, and socioeconomic growth in SriLanka. The study reveals significant links between inclusive WE and the three SDGs. Womenentrepreneurs often prioritize health and well-being in their business practices, promotinghealthy workforces and communities, which aligns with SDG 3. They challenge traditionalgender roles, promote gender equality, provide employment opportunities, and advocate forsupportive policies, thereby promoting SDG 5. Women-led businesses make a significantcontribution to SDG 8 by creating jobs, fostering innovation, and increasing productivity. Thestudy identifies a synergistic cycle in which improvements in one SDG led to improvements inothers. Through nurturing inclusive WE, the chapter underscores the critical role of womenentrepreneurs in contributing to a diversified and resilient economy that promotes sustainableand inclusive growth. 2026-01-01T00:00:00Z http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/13180 Title: Inclusive entrepreneurship to improve the economic status of SGBV survivors in safe homes:A case study of the northern province of Sri Lanka Authors: Shivany, S.; Dilogini, S.; Kumarasinghe, N. Abstract: The recent financial crisis in Sri Lanka has highlighted a wide range of sexual and gender-basedviolence (SGBV) within families and society. SGBV has far-reaching consequences, as the numberof women and girls who are SGBV survivors has increased, and new safe homes for women andgirls have been established and maintained by government and nongovernment organizations.For SGBV survivors to end the cycle of violence and establish a more just and secure environmentfor healing, improving their economic status is essential. This includes meeting the fundamentalrequirements for housing, food, and health care, as well as some initiatives to improve theireconomic status through job training, education, and the encouragement of feasible businessstart-ups. Inclusive entrepreneurship reflects the inclusion of underrepresented groups inentrepreneurship to assist them in overcoming economic and social challenges. Consequently,there is a need for an SGBV survivor-centric, action-based strategy to help survivors improvetheir economic status, overcome obstacles, and achieve financial stability and independence. The study presented in this chapter explores an inclusive entrepreneurship model for improvingthe economic status of SGBV survivors. In-depth interviews and focus group discussions wereused to gather qualitative data on respondents’ views on engaging in entrepreneurship toimprove their economic status and administrators’ views regarding the components of theproposed inclusive model. Findings are directly relevant to sustainable development goal (SDG) 8(Decent Work and Economic Growth) and SDG 5 (Gender Equality). The chapter offers anoperative, survivor-centered, inclusive entrepreneurship model that can be utilized bygovernment and nongovernment organizations to facilitate safe homes and improve theeconomic status of SGBV survivors in the Northern Province of Sri Lanka. 2026-01-01T00:00:00Z http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/12881 Title: Human-Centric Digital Transformation in Industry 5.0: A Phenomenological Study of Family-Owned SME in Sri Lanka Authors: Dilogini, S.; Shivany, S. Abstract: This phenomenological study explores human-centric digital transformation within Industry 5.0, specifically focusing on family-owned SMEs in Sri Lanka. Despite their crucial economic role, these businesses encounter distinct challenges, such as succession transformation and the preservation of traditional values amid technological advancements. This study addresses the significant gap in literature regarding Industry 5.0 digital transformation in family-owned SMEs, particularly in developing economies like Sri Lanka. By exploring the lived experiences of a third-generation family-owned business, the study provides novel insights into balancing technological progress with the preservation of traditional values, contributing to a deeper understanding of digital transformation in culturally embedded SMEs. Using Interpretative Phenomenological Analysis (IPA), the research explores the lived experiences of ‘Aaseer Mixture’, a third-generation family-owned food and snacks manufacturing SME located in Northern Sri Lanka. Key themes identified through detailed interviews with family members include ownership insights on digital integration, empowering family-centric digital evolution and digital integration for business strategies. The study reveals how family dynamics and intergenerational differences impact decision-making processes related to digital transformation. Emphasizing the need for inclusive strategies that consider the intersecting circles of ownership, family, and business, the study develops a new human-centric digital transformation model tailored for family-owned SMEs. This model balances technological progress with the preservation of core family values and traditions, offering valuable insights for navigating digital integration. By highlighting the necessity of embracing digital technologies to maintain relevance and attractiveness to future generations, the study contributes to the literature on digital transformation in family-owned SMEs, especially within developing economies. 2025-01-01T00:00:00Z http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/12880 Title: Integrating AI into Spreadsheet Analysis and Courses Authors: Ganesan, N.; Dilogini, S.; Jegashini, K. Abstract: Microsoft Excel remains one of the most widely used software applications in business and has long been a central component of business school curricula. Traditionally, Excel instruction has focused on spreadsheet development, formulas, functions, simulations, data analysis, and visualization through hands-on exercises. However, the rapid emergence of artificial intelligence (AI) IS transforming the way spreadsheets are created, analyzed, interpreted, and automated, creating a need to rethink how Excel is taught in business core courses. This paper presents a structured framework for incorporating AI into Excel-based business education. First, the paper reviews the Excel-related capabilities of prominent AI chatbots, including ChatGPT, Microsoft Copilot, Claude, Gemini, and Perplexity. Second, it introduces selected AI tools designed specifically for spreadsheet applications and discusses their potential educational uses. Third, the paper proposes a structured framework that integrates AI into Excel instruction. The framework follows a scaffolded learning sequence: Excel Fundamentals Advanced Excel Analytics Pivot Tables  Data Visualization  AI-Assisted Formula Development AI-Assisted Reporting and Visualization AI-Assisted Advanced Analytics AI-Assisted Programming. The framework is designed to help students first develop spreadsheet competency before applying AI tools to enhance productivity, analysis, and decision support. It emphasizes the critical evaluation of AI-generated outputs. Rather than simply using AI tools, students are required to validate formulas, analyses, visualizations, and code generated by AI systems. This emphasis helps develop spreadsheet literacy, AI literacy, critical thinking, and professional judgment simultaneously. 2026-01-01T00:00:00Z