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In today’s business world, there is a growing recognition of the need for companies to be conscious of their social and environmental impact, aligning with the European Union’s goal of becoming a zero-impact continent by 2050. Businesses are now seen as key players in this transformation, moving away from traditional economic models. The contemporary framework underscores ignoring societal and environmental impacts is no longer viable. In this transformative era, a notable paradigm shift is evident as businesses shift from solely maximizing profits to optimizing them, balancing financial success with societal and environmental benefits. This change marks a departure from the traditional focus on just the bottom line, highlighting the dual role of companies as both profit-oriented and key drivers of positive societal change. This paradigm underscores a symbiotic relationship between profitability and positive societal impact, echoing the EU’s sustainable and responsible business paradigm vision. This narrative posits the EU as a trailblazer, spearheading a collective effort to harness the transformative potential of the business sector in realizing a zero-impact future by 2050. The paper aims to expand Elkington’s 3Ps model (People, Planet, Profit) and stakeholder theory by introducing ‘Purpose’ as a crucial fourth dimension, emphasizing the importance of a company’s underlying motives and values in shaping sustainable and responsible business practices. This paper reveals that integrating ‘Puropse’ into business models aligns with contemporary environmental and social governance standards and significantly enhances stakeholder engagement, fostering a more resilient corporate ecosystem. 
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Navigating Corporate Responsibility: Unveiling the ‘Purpose’ as the Fourth P in Elkington’s 3Ps Model 

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Tourism represents an important determinant of global recognition and regional growth and development of the Republic of Croatia, especially the coastal part of the country. However, there is no doubt that any tourism activity has strong economic, socio-cultural, social, and environmental effects. Mass tourism brings numerous advantages. However, the growing concentration of tourists also leads to negative effects, of which residents are the most affected. Šibenik is a tourist town whose development is primarily based on tourism, and this destination, due to its centuries-old history and geographic location, is attractive to tourists. This paper aims to investigate the extent to which tourism affects the quality of life of the local population based on a preliminary survey of a sample of residents of the city of Šibenik. This paper aims to investigate in detail the practical aspects of tourism. The respondents’ perceptions and tourism’s real, tangible, and measurable effects will be analyzed to draw valuable conclusions. This approach enables a deeper understanding of the impact of tourism on various aspects of society and the environment. 
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Perception of the Local Population on the Effects of Tourism: A Case Study of the City of Šibenik 

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This paper aims to provide results of empirical experiments on the accuracy of different machine learning algorithms for detecting spam messages, using a public dataset of spam messages. The originality of our study lies in the integration of topic modeling, specifically employing Latent Dirichlet Allocation (LDA) alongside machine learning algorithms for spam detection. By extracting hidden topics and uncovering patterns in spam and non-spam messages, we provide unique insights into the distinguishing characteristics of spam messages. Moreover, the integration of machine learning is a powerful tool in bolstering risk control measures ensuring the sustainability of digital platforms and communication channels. The research tests the accuracy of spam detection classifiers on an open-source dataset of spam messages. The key findings of this study reveal that the Logistic Regression classifier achieved the highest F score of 0.986, followed by the Support Vector Machine classifier with a score of 0.98 and the Naive Bayes classifier with a score of 0.955. The study concludes that Logistic Regression outperforms Naive Bayes and Support Vector Machine in text classification, particularly in spam detection, emphasizing the role of machine learning techniques in optimizing risk management strategies for sustained digital ecosystems. This capability stems from Logistic Regression’s adeptness in modeling complex relationships, enabling it to achieve high accuracy on training and test datasets. 
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Effective Spam Detection with Machine Learning 

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The recession of the 1990s in Europe and the United States of America marked a defining moment for entrepreneurship. Business incubators emerged as a means of redistributing strategic resources and developing new tools for local and regional economies. In Croatia, most incubators are founded by cities and counties, with two private incubators also in operation. The Technological Innovation Center “Međimurje” (TICM) in Čakovec was established by Međimurje County in 2009 to incubate startup entrepreneurs, with the aim of supporting regional development and strengthening the entrepreneurial sector. With recent population emigration, the Međimurje County Development Plan until 2027 underscores the heightened importance of TICM as an entrepreneurial support institution. This paper presents a comprehensive analysis of the challenges, needs, and obstacles faced by beginner entrepreneurs working in the TICM incubator. It critically evaluates the extent to which TICM meets the needs of newly founded companies, identifies the challenges it faces, and proposes solutions. By analysing the survey responses, the research questions were answered, and guidelines for the potential future operation of the incubator were developed. Research shows unequivocally that there are numerous advantages of doing business in an incubator, primarily the possibility of survival in the market. The work determines the needs of beginner entrepreneurs, which can guide the building and redefinition of existing services, and also highlights the need to increase the incubator’s capacity. 
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The Influence of a Business Incubator on the Business Success of a Beginner Entrepreneur: Case Study of a Technology-innovation Center in Međimurje County

AHEAD OF PRINT

Volume 4 (2023): Issue 2 (December 2023)

Volume 4 (2023): Issue 1 (December 2023)

Volume 3 (2022): Issue 2 (December 2022)

Volume 3 (2022): Issue 1 (June 2022)

Volume 2 (2021): Issue 2 (December 2021)

Volume 2 (2021): Issue 1 (June 2021)

Volume 1 (2020): Issue 1 (December 2020)

Croatian Regional Development Journal

 „Croatian Regional Development Journal” (CRDJ) is a multidisciplinary scientific journal. The journal aims at encouraging regional development through a multidisciplinary and innovative research approach in the area of sustainable development, ecology, construction, mechanical engineering, computer science, information and communication sciences　and economics. „CRDJ” has a special focus on theoretical and empirical research of new technology as a foundation of regional development. In addition to the multidisciplinary research, „CRDJ” publishes papers in the fields of technical, natural, social and human sciences. The journal publishes for decision makers in the private and public sector, scientists and experts. The journal combines advances and knowledge of different fields aiming to promote social and economic development. Special attention is paid to social, ecological, ethical and managerial aspects of regional development research. In this respect, the CRDJ journal fosters the exchange of ideas, experience and knowledge between regions, in particular in transition countries. Papers submitted for publication should be original, theoretical and practical papers.The journal also publishes case studies showing innovative solutions in practice and critical reviews of theory. Papers in both Croatian and English languages are published.The journal is published twice a year.   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 