The Impact of Financial Manager Decisions on the Business Results of Micro and Small Companies in the Republic of Croatia in the Area of the City of Split
Abstract
1. Introduction
2. Literature Background
3. Supporting Theory—The Resource-Based View (RBV)
4. Materials and Methods
5. Defining the Research Problem
6. Research Results
7. Discussion
8. Limitations and Recommendations
9. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Month/ Year | Inflation Rate in Croatia | Inflation Rate in the Eurozone | Inflation Rate— Hospitality Sector in Croatia | Inflation Rate— Hospitality Sector in the Eurozone |
---|---|---|---|---|
12/2022 | 12.7 | 9.2 | 17.0 | 8.3 |
12/2023 | 5.4 | 2.9 | 12.7 | 5.6 |
12/2024 | 4.5 | 2.4 | 10.7 | 4.6 |
Tourism Sector | |||||
---|---|---|---|---|---|
Author/Year | Title of paper | Focus of research | Methodology | Key findings and link to the RBV | Research gap |
Duarte Alonso (2016) | Exploring a developing tourism industry: A resource-based view approach. Tourism Recreation Research, 42(1), 45–58. | Research on the small and medium-sized tourism industry in Uruguay | Qualitative research; unstructured interviews | Confirms the applicability of the RBV in tourism by clearly linking existing strategies to the RBV | There is no focus on micro and small companies, there is no connection between RBV and financial data |
Kruesi and Bazelmans (2023) | Resources, capabilities and competencies: a review of empirical hospitality and tourism research founded on the resource-based view of the firm, Journal of Hospitality and Tourism Insights (2023) 6(2): 549–574. | A review of empirical research in the field of hospitality and tourism based on the RBV | Systematic literature review | A systematic review of qualitative and quantitative hospitality and tourism research based on the RBV | There is no focus on micro and small companies, there is no connection between RBV and financial data |
Rukmiyati et al. (2023) | The influence of financial literacy on the business sustainability of SMEs in the tourism sector in Kintamani: Financial inclusion as a mediator. Jurnal Ilmiah Akuntansi Dan Bisnis, 8(1), 87–96. | Examines the sustainability of micro, small, and medium-sized enterprises (MSMEs) in the Kintamani tourism sector during the pandemic, with a particular focus on the role of financial literacy | Quantitative research | The RBV put in relation to financial literacy (considered a key internal resource for gaining competitive advantage and achieving business sustainability) | There is no connection between RBV and financial data |
Risfandini et al. (2021) | Competitiveness of tourism destinations: an extended criteria of resource-based view. The Journal of Asian Finance, Economics and Business (JAFEB), 8(5), 253–263. | The aim of the research is to increase the competitiveness of the tourist destination for the city of Malang | Case study | Extended criteria of the resource-based view (RBV): VRIOLU (Valuable, Rare, Inimitable, Organization, Large Market, Unmet Need) can be used as a tool for analyzing the competitiveness of a tourist destination | There is no focus on micro and small companies, there is no connection between RBV and financial data |
Iriani et al. (2024) | Harnessing competitive advantage: A resource-based perspective on sustainable business performance in tourism villages. Jurnal Siasat Bisnis, 263–274. | Analyzes the competitive advantage of tourist villages under the influence of VRIN and non-VRIN resources on the success of the business of tourist villages | Survey questionnaire (383 respondents) | VRIN resources significantly influence competitive advantage, which in turn affects business success, and emphasizes the importance of strategic development of tourist villages based on a resource-oriented approach | There is no focus on micro and small companies, there is no connection between RBV and financial data |
Samad (2022) | Unravelling factors influencing firm performance: Evidence from the SMES in tourism industry. International Journal of Financial Studies, 10(3), 77. | Examining the role of internal resources and external environmental factors on the success of small and medium-sized companies (SMEs) in the tourism industry, with a special emphasis on hotels in SMEs | Survey among hotel owners or key management personnel in Saudi Arabia | The results align with the RBV theory that internal resources significantly lead to competitive advantage | The focus is on small companies while micro companies are left out of the sample, and there is no connection between the RBV and financial data |
Ogutu et al. (2023) | Theoretical nexus of knowledge management and tourism business enterprise competitiveness: An integrated overview. Sustainability, 15(3), 1948. | Synthesis of the theoretical connection between knowledge management and the competitiveness of tourism companies through four microeconomic theories | Literature review | Confirms that the RBV is important in determining the competitive advantage of a tourism company | There is no focus on micro and small companies, there is no connection between RBV and financial data |
Ofori and Appiah-Nimo (2022) | Relationship management, competitive advantage and performance of hotels: a resource-based view. Journal of African Business, 23(3), 712–730. | The influence of supplier and customer relationship management on the competitive advantage and performance of hotels | Survey of hotel managers | The study contributes to the literature on resources and competitive advantage and draws implications for the practice of hotel managers | There is no focus on micro and small companies, there is no connection between RBV and financial data |
Panno (2020) | Performance measurement and management in small companies of the service sector; evidence from a sample of Italian hotels. Measuring business excellence, 24(2), 133–160. | It explores how small and medium-sized enterprises (SMEs) operating in the tourism industry perceive and define corporate results and how they measure and track achievements | Development of a new model based on financial, operational, and organizational dimensions and later tested through field research based on a semi-structured questionnaire on 540 respondents | The application of the RBV contributes to the understanding of the relationship between critical resources and capabilities that need to be developed and effectively managed in order to achieve top business performance | There is no focus on micro companies, only small, which emphasizes the importance of financial data |
Zhang and Fang (2025) | Board vs. CEO: Investigating influences of experiences on CSR performance among tourism and hospitality firms. Current Issues in Tourism, 1–21. | Explores how cross-industry experiences of management and CEOs affect company performance | Data analysis of 89 US companies (between 2003 and 2021) in the tourism and hospitality industry | Based on the RBV and show that management experience, not CEO experience, plays a key role in influencing performance | There is no focus on micro and small companies, there is no connection between RBV and financial data |
Elizabeth et al. (2025) | Harnessing Green Dynamic Capabilities for Sustainable Tourism Performance: The Mediating Role of Green Service Innovation in Bali’s Tour and Travel SMEs. Tourism and Hospitality, 6(3), 156. | Analyzes how green dynamic capacities affect business performance in small and medium-sized enterprises in the tourism sector in Bali | Survey: 387 small and medium-sized enterprises | It relies on the RBV and the theory of dynamic capacities, while the key contribution of this study lies in the extension of the RBV | There is no focus on micro companies, only small, there is no connection between RBV and financial data |
Abdelsalam et al. (2025) | Sustainability Performance and Corporate Risk: Evidence From the Tourism Industry. International Journal of Finance & Economics. | The impact of sustainability scores (ESG scores) on the corporate risk of tourism companies is being investigated | Survey of a sample of 247 tourism companies from 2002 to 2018 | Contribute to the services and RBV literature by highlighting the interplay between ESG, the tourism industry’s idiosyncrasies | There is no focus on micro and small companies, there is no connection between RBV and financial data |
Rukmiyati et al. (2025) | Entrepreneurial Orientation and Financial Capability: A Study of Tourism MSMEs in Labuan Bajo. In SHS Web of Conferences (Vol. 217, p. 05004). EDP Sciences. | Examines the entrepreneurial orientation and financial capacity of micro, small, and medium enterprises in the tourism sector of Labuan Baja region | Descriptive quantitative approach | The RBV emphasizes that internal resources, such as entrepreneurial orientation (EO), are key to achieving competitive advantage | Partial connection of RBV with financial data |
Wang and Zhang (2025) | Promoting sustainable development goals through generative artificial intelligence in the digital supply chain: Insights from Chinese tourism SMEs. Sustainable Development, 33(1), 1231–1248. | Exploring how generative artificial intelligence in digital supply chains can improve innovation, collaboration, and ultimately ESG performance | Survey of 429 international small and medium-sized enterprises | Through RBV and Dynamic Capabilities Theory, they propose a theoretical framework that emphasizes the strategic importance of generative artificial intelligence in improving ESG performance | There is no focus on micro companies, there is no connection between RBV and financial data |
Crick et al. (2021) | The impact of the interaction between an entrepreneurial marketing orientation and coopetition on business performance. International Journal of Entrepreneurial Behavior & Research, 27(6), 1423–1447. | To examine whether collaboration positively affects the relationship between entrepreneurial marketing orientation and financial results | Survey of 184 small tourism and hospitality organizations in New Zealand | Based on the RBV; contributes to the existing literature on the positive relationship between entrepreneurial marketing orientation and financial performance | There is no focus on micro companies, emphasis is placed on financial data but not through the connection between RBV and financial data |
Islam (2024) | Exploring key drivers of tourism sustainability practices and their impact on sustainable competitive performance in the accommodation industry. International Journal of Business Ecosystem & Strategy (2687-2293), 6(1), 28–44. | Investigate the key drivers of tourism sustainability practices and their impact on the sustainable competitive performance of the tourist accommodation industry | Qualitative research(semi-structured interviews with owners and managers of tourist accommodation companies) | The RBV offers valuable practical insights for managers and owners within the tourist accommodation industry | There is no focus on micro and small companies, there is no connection between RBV and financial data |
Food and beverage industry (part of tourism sector) | |||||
Author/Year | Title of paper | Focus of research | Methodology | Key findings and link to the RBV | Research gap |
Nworie and Mba (2022) | Modelling financial performance of food and beverages companies listed on Nigerian exchange group: the firm characteristics effect. Journal of Global Accounting, 8(3), 37–52. | The impact of firm characteristics (firm size, firm age, and debt) on the financial performance of listed food and beverage companies in Nigeria | Ex post facto research design; purposive sample of five (5) publicly traded food and beverage companies | Connecting the RBV with previously defined company characteristics (provide recommendations for increasing assets, changing management systems, planning capital structure) | No exact company size defined, partial emphasis on financial data |
Edobor and Agbadudu (2024) | Stakeholder Value Creation And Competitive Advantage Of Food And Beverage-Based Small And Medium Scale Entereprises In Benin City. Journal Of Academic Research In Economics, 16(3). | It explores how stakeholder value creation is linked to competitive advantage of food and beverage-based SMEs operating in Benin City, Edo State | Data collection via questionnaire; 216 small and medium-sized enterprises identified from the water processing, fast food/restaurant, and bakery sectors | The study is based on the stakeholder theory of corporate social responsibility and the RBV; the implications of the study extend the stakeholder and RBV models through defined variables (diversity initiatives, environmental management, and supplier relations) | There is no focus on micro companies, there is no connection between RBV and financial data |
Ngenoh and Noor (2024) | Supply Chain Innovation Strategies And Performance Of Food And Beverages Manufacturing Firms In Nairobi City County, Kenya. Journal Of Applied Social Sciences In Business And Management, 3(2), 153–169. | To examine the impact of supply chain innovation strategies on the performance of food and beverage companies in Nairobi County, Kenya | Survey research; 546 managers in 91 manufacturing companies; the sample size of the study was 231 subjects | Through the RBV, it is shown that technology strategies play a key role in driving company success | There is no defined exact size of the analyzed companies, there is no connection between RBV and financial data |
Rizqi et al. (2024) | Disruption of disruption innovation: a resource-based view (RBV) theory approach. Islamic Accounting Journal, 4(2), 64–70. | To examine the impact of human capital, structural capital, and relational capital on the discovery of disruptive innovations of food and beverage companies | The research was conducted among 33 companies (132 samples), using a purposive sampling method | The work is based on the RBV; provides that human capital, structural capital, and relational capital influence the disclosure of disruptive innovation | There is no focus on micro and small companies, there is no connection between RBV and financial data |
Mbah et al. (2025) | Stakeholder Management Practice And Economic Sustainability Of Food And Beverage Firms. Research Journal Of Business Administration, 13(1), 208–229. | An examination of stakeholder management practices and economic sustainability of food and beverage companies in Enugu State | Employee survey in five (5) selected food and beverage enterprises in Enugu State; sample size 336 | The study is based on the RBV and concludes that regulators and investors have a significant positive relationship with customer retention and revenue generation of food and beverage companies | There is no focus on micro and small companies, there is no connection between RBV and financial data |
Makinde et al. (2023) | Quality management practices and competitive advantage of selected food and beverage manufacturing firms in Lagos state, NIGERIA. European Journal of Human Resource Management Studies, 6(2). | Impact of quality management practices on competitive advantage of selected food and beverage companies in Lagos State, Nigeria | Survey questionnaire; 14,591 senior, middle, and lower management employees of selected food and beverage companies in Lagos State, Nigeria | The study is based on the RBV and concludes that quality management practices influence the competitive advantage of food and beverage companies in Lagos State, Nigeria | There is no focus on micro and small companies, there is no connection between RBV and financial data |
Abdulsamad et al. (2020) | The Importance of Entrepreneurial Orientation’s Dimensions in Influencing the Organizational Performance of Food and Beverage SMEs. Advances in Social Sciences Research Journal, 7(12), 81–99. | Analyzes the impact of the components of entrepreneurial orientation (risk-taking, innovation, and proactivity) on the organizational performance of Yemeni small and medium-sized enterprises in the food and beverage industry | Research model (PLS-SEM, (IP-MA); tested on 459 owners/managers of small and medium-sized enterprises | The RBV is a basis for the strategic orientation of a company, confirming the positive impact of valuable resources on company efficiency | There is no focus on micro and small companies, there is no connection between RBV and financial data |
Naila et al. (2025) | Measuring the uptake of process innovation by SMEs in food industry: a resource-based view perspective. IIMBG Journal of Sustainable Business and Innovation, 3(1), 87–108. | Develop and validate a scale for measuring the acceptance of innovations in processes by small and medium-sized enterprises in the food industry, based on the RBV | Survey questionnaire conducted on 315 small and medium-sized companies | The study defines that the adoption of innovations in food processes can be measured from a resource-based perspective, but not considering all dimensions of the RBV | There is no focus on micro companies, there is no connection between RBV and financial data |
Gladson-Nwokah and Edenkwo (2024) | Social Entrepreneurship And Business Success Of Food And Beverage Firms In Rivers State. Bw Academic Journal. | The relationship between social entrepreneurship and business success of food and beverage companies in Rivers State is examined | Survey questionnaire (125 respondents, of which 5 managers from each food and beverage company in Rivers State) | The RBV is used to understand how companies gain and maintain competitive advantage | There is no focus on micro and small companies, there is no connection between RBV and financial data |
Ratio | 2022 | 2023 | 2024 |
---|---|---|---|
Liquidity indicators | |||
Moment liquidity ratio | 0.61 | 0.6 | 0.47 |
Quick liquidity ratio | 1.26 | 1.28 | 1.24 |
Current liquidity ratio | 1.44 | 1.44 | 1.45 |
Financial stability ratio | 0.76 | 0.74 | 0.74 |
Debt indicators | |||
Debt ratio | 0.63 | 0.61 | 0.62 |
Own financing ratio | 0.36 | 0.38 | 0.37 |
Financing ratio | 1.72 | 1.6 | 1.68 |
Debt factor (in years) | 2.58 | 2.28 | 2.02 |
Degree of coverage of long-term assets by own sources | 75.42 | 82.81 | 79.62 |
Degree of coverage of long-term assets by long-term sources | 131.95 | 135.23 | 135.37 |
Activity indicators | |||
Total asset turnover | 1.49 | 1.46 | 1.35 |
Current asset turnover | 2.94 | 2.74 | 2.56 |
Current receivables collection period, in days | 23 | 27 | 28 |
Customer receivables collection period, in days | 13 | 13 | 12 |
Supplier payment days | 27 | 33 | 33 |
Business performance indicators | |||
Economy of the overall business | 113.90% | 114.83% | 111.03% |
Profitability of income—gross | 12.20% | 12.92% | 9.94% |
Profitability of income—gross | 10.63% | 10.86% | 8.07% |
Profitability of total assets—gross | 18.22% | 18.80% | 13.37% |
Return on total assets—net (ROA) | 15.87% | 15.81% | 10.86% |
Return on equity (ROE) | 43.57% | 41.57% | 29.99% |
EBIT margin | 12.03 | 12.86 | 9.91 |
EBITDA margin | 15.74 | 16.40 | 13.55 |
EBIT | 17,422,365 | 23,675,351 | 20,774,036 |
EBITDA | 22,803,177 | 30,191,328 | 28,412,613 |
Ratio of Total Income and Expenses | Companies That Use Their Own Equipment | Companies That Do Not Use Their Own Equipment |
---|---|---|
to 0.60 | 0 | 0 |
0.61–0.85 | 0 | 0 |
0.86–1.00 | 0 | 2 |
1.01–1.14 | 7 | 2 |
1.15–1.29 | 24 | 0 |
1.30 and above | 1 | 0 |
Total | 32 | 4 |
Company A | Company B | Company C | |
---|---|---|---|
Long-term assets | 268,823 | 563,388 | 609,822 |
I. Intangible long-term assets | 85,093 | 276,468 | 38,973 |
II. Tangible long-term assets | 283,730 | 286,920 | 164,301 |
Of which amount of real estate | 145,680 | 0 | 0 |
Of which amount of equipment and means of transport other than cars | 138,050 | 286,920 | 164,301 |
Calculation of depreciation of intangible assets at a rate of 12.5% | 10,637 | 34,559 | 4872 |
Calculation of depreciation of real estate at a rate of 2.5% | 3642 | 0 | 0 |
Calculation of depreciation of remaining tangible assets at a rate of 12.5% | 17,256 | 35,865 | 20,538 |
Company A | Company B | Company C | ||||
---|---|---|---|---|---|---|
Name | Data from Published Annual Financial Reports | Projection | Data from Published Annual Financial Reports | Projection | Data from Published Annual Financial Reports | Projection |
Total assets | 1,087,009 | 1,118,544 | 1,376,582 | 1,447,276 | 647,904 | 673,313 |
Operating income | 1,914,227 | 1,914,227 | 8,050,772 | 8,050,772 | 1,296,974 | 1,296,974 |
Operating costs | 1,650,044 | 1,618,509 | 7,605,404 | 7,534,981 | 1,162,062 | 1,136,653 |
Financial income | 12,583 | 12,583 | 1440 | 1440 | 501 | 501 |
Financial costs | 573 | 573 | 1408 | 1408 | 1587 | 1587 |
Total income | 1,926,810 | 1,926,810 | 8,052,212 | 8,052,212 | 1,297,475 | 1,297,475 |
Total costs | 1,650,617 | 1,619,082 | 7,606,812 | 7,536,389 | 1,163,649 | 1,138,240 |
Profit before tax | 276,193 | 307,728 | 445,400 | 515,824 | 133,826 | 159,235 |
Profitability of income—gross | 14.33% | 15.97% | 5.53% | 6.41% | 10.31% | 12.27% |
Profitability of total assets—gross | 25.46% | 27.56% | 32.45% | 35.74% | 20.90% | 23.89% |
EBIT | 276,766 | 308,301 | 446,808 | 517,232 | 135,413 | 160,822 |
EBITDA | 340,215 | 378,724 | 521,228 | 587,655 | 185,001 | 186,232 |
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Miljak, T.; Martinčević, I.; Sesar, V. The Impact of Financial Manager Decisions on the Business Results of Micro and Small Companies in the Republic of Croatia in the Area of the City of Split. J. Risk Financial Manag. 2025, 18, 522. https://doi.org/10.3390/jrfm18090522
Miljak T, Martinčević I, Sesar V. The Impact of Financial Manager Decisions on the Business Results of Micro and Small Companies in the Republic of Croatia in the Area of the City of Split. Journal of Risk and Financial Management. 2025; 18(9):522. https://doi.org/10.3390/jrfm18090522
Chicago/Turabian StyleMiljak, Toni, Ivana Martinčević, and Vesna Sesar. 2025. "The Impact of Financial Manager Decisions on the Business Results of Micro and Small Companies in the Republic of Croatia in the Area of the City of Split" Journal of Risk and Financial Management 18, no. 9: 522. https://doi.org/10.3390/jrfm18090522
APA StyleMiljak, T., Martinčević, I., & Sesar, V. (2025). The Impact of Financial Manager Decisions on the Business Results of Micro and Small Companies in the Republic of Croatia in the Area of the City of Split. Journal of Risk and Financial Management, 18(9), 522. https://doi.org/10.3390/jrfm18090522