432 research outputs found

    Sustainable Supply Chains and Digital Transformation

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    This book focuses on the impact of digitalization on supply chains and how it is affecting every aspect of people’s lives. It covers the operational changes that are happening in organizations due to the use of technologies such as IoT, cloud computing, smart sensors, electric vehicles, blockchain, AI, drones, smart factories, smart logistics, and smart warehouses. Additionally, it explores how digitalization is helping organizations achieve sustainability through methods like life cycle costing, carbon emission reduction, green supply chains, and recycling technologies. Sustainable Supply Chains and Digital Transformation includes case studies, and exploratory studies utilizing quantitative analysis, scientific and qualitative studies to demonstrate how innovation and technology in supply chains contribute to business sustainability in emerging economies and the global economy and discusses the impact of digitalization on supply chains from both operational and sustainability perspectives

    Women entrepreneurs. Building sustainable business models in digital spaces, case studies, and experiences

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    This book describes the path of women entrepreneurs who manage sustainable enterprises and delves into the issues that women entrepreneurs encounter along with the steps they are taking to overcome these obstacles. It also addresses the scaffolding provided by liminal digital spaces to the sustainable business models run by women entrepreneurs, as well as how organizations can profit from utilizing digital spaces to improve their operations. Women Entrepreneurs: Building Sustainable Business Models in Digital Spaces, Case Studies, and Experiences presents aspiring entrepreneurs, sustainable businesses, government stakeholders, and financial and funding prospects in Society 5.0. This book provides insights into prominent women entrepreneurs in the global economy and creates a bridge between innovation and liminal digital spaces. It offers real‐life cases diving into the journey of entrepreneurs being job creators highlighting the urgent need for sustainable and innovative company practices and presents a comprehensive strategy for a circular economy. Whether you are an entrepreneur, a policymaker, a researcher, or simply someone interested in the subject, this book offers an opportunity to understand and promote the growth and empowerment of women entrepreneurs in the digital age

    Utilizing biomarkers in colorectal cancer: an interview with Ajay Goel

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    Ajay Goel speaks to Rachel Jenkins, Commissioning Editor. Ajay Goel, PhD, is a Professor and Director, Center for Gastrointestinal Research, and Director, Center for Translational Genomics and Oncology, at the Baylor Scott &amp; White Research Institute, Baylor University Medical Center in Dallas, Texas. Dr Goel has spent more than 20 years researching cancer and has been the lead author or contributor to over 240 scientific articles published in peer-reviewed international journals and several book chapters. He is also a primary inventor on more than 15 international patents aimed at developing various biomarkers for the diagnosis, prognosis and prediction of gastrointestinal cancers. He is currently using advanced genomic and transcriptomic approaches to develop novel DNA- and miRNA-based biomarkers for the early detection of colorectal cancers. In addition, he is researching the prevention of gastrointestinal cancers using integrative and alternative approaches, including botanical products such as curcumin (from turmeric) and boswellia. Dr Goel is a member of the American Association for Cancer Research (AACR) and the American Gastroenterology Association (AGA) and is on the international editorial boards of several journals including Gastroenterology, Clinical Cancer Research, Carcinogenesis, PLoS ONE, Scientific Reports, Epigenomics, Future Medicine, Alternative Therapies in Heath and Medicine and World Journal of Gastroenterology. He is also actively involved in peer-reviewing activities for more than 100 international scientific journals and various grant review panels of various national and international funding organizations. His research has been actively funded by various private and federal organizations, including funding from the National Cancer Institute (NCI) at the NIH, American Cancer Society (ACS) and other state organizations. He has won more than dozen awards and honors, including the Union of European Gastroenterology Federation's Distinguished Researcher Award, multiple Poster of Distinction Awards from the AGA, and Visiting Professorships from various national and international academic institutions and academic bodies. Some of his key research interests include: Understanding the basic genetics and epigenetic basis of gastrointestinal cancers; Use of epigenetic markers, both DNA and RNA, for the early detection of colorectal, pancreatic and other gastrointestinal cancers; Personalized medicine and treatment of gastrointestinal cancers; Chemoprevention, using complementary and alternative approaches using nutraceuticals such as curcumin, green tea, resveratrol and other botanicals. </jats:p

    Gender turnover, sustainability, and innovation: How women are changing farming

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    Traditionally, agriculture has been a male-dominated sector. Although women's work in agricultural production has always been fundamental, their role has often been underestimated and undervalued. Several constraints limit women's empowerment in this sector, such as socio-cultural norms on gender roles, lack of information, limitations in decisionmaking power, and lack of access to credit. Nevertheless, female entrepreneurship in agriculture, especially in niche markets, is on the rise, often supported by digital technologies. Women farmers are sensitive to biodiversity, environmental preservation, animal welfare, social activities, and digital innovation. Since multifunctionality and innovation are considered worldwide drivers to promote and foster agricultural entrepreneurship while assuring sustainable development goals, women can make a difference in driving the transition towards more sustainable agriculture and leading this sector’s change. In this article, we investigate the role of women in modern agriculture and their relationship with digital technologies through a case study on an Italian female entrepreneur who has chosen to make sustainable agriculture her life choice, becoming a guide for thousands of Italian female farmers. It is a story of traditions, prejudices, obstacles, stubbornness, self-assertion, legitimacy, and sharing, which are the critical values of women's empowerment in modern agricultural farming

    Enhancing the Efficacy of Financial Information Through Artificial Intelligence

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    The use of artificial intelligence and machine learning techniques in finance is gaining more and more traction from practitioners as well as from academia. In fact, corporations nowadays are using these techniques to forecast and assess different financial risks such as liquidity risk, volatility risk, and credit risk by applying ML models. The ML models are trained on historical datasets to make future forecasts on potential financial threats to the financial performance of the company. Practitioners and institutional investors have been introducing artificial intelligence to assist their work and run different types of analysis based on quantitative and qualitative data. The introduction of qualitative (textual) data in financial market analysis is a relatively recent approach adopted by sophisticated investors to measure the tone, and the sentiment and extract information from corporate annual reports, press releases, and even social media posts. Natural Language Processing and text mining paired with machine learning models are still under trial but have proven to be effective in guiding sophisticated investors and corporate managers. Meanwhile, finance scholars were reluctant to introduce new methodologies, especially those relying on content and textual analysis for different reasons. Their orthodoxy not only in the way they write research but also in the topics they debate could be one of the reasons that probably makes their knowledge less accessible, sometimes less relevant, and probably not read by practitioners. Finance-related texts commonly meant to make information available to market participants, tend to be written in formal and technical language that makes them less intelligible than they should be, complicating the possibility to make sense of them and drive action in the financial environment for the great majority of individuals. This has, for a long time, been a silently accepted limit, though more recently it brought to attention the need for a more effective and transparent spread of financial information, aimed at reducing noise as a source of volatility. New technology, among them machine learning as a prominent application of Artificial Intelligence, maybe a handy instrument to underpin latent meanings, isolate prevalent emerging topics, and help non-professionals to make sense of financial information. Inaccessible information significantly reduces its real impact on the market’s dynamics, considerably limiting the possibility to enhance efficiency. In this work we introduce and describe in a very understandable way how machine learning may help improve the comprehension of financial information, we also present the results of our latest research, as a prominent example of how the application of machine learning to different fields may be of great utility both for the activity of scholars and researchers, but also for practitioners and investors
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