1. Developing a Web Solution for an E-commerce and Tourism Business : diplomsko deloMarija Arsovska, 2025, undergraduate thesis Abstract: This thesis presents the development process and technology behind a web solution for a tourist farm, incorporating user registration, a room booking system, and e-commerce functionalities. The main objectives were to identify best practices and technologies for supporting a tourist farm’s online business operations, to design and develop a functional web solution, and to verify the usability of the developed solution in practice. The web application was developed using HTML, CSS, JavaScript, PHP, and MySQL, with an emphasis on secure data storage. The result was a functional web application that successfully passed testing of its key features and security aspects.
Keywords: web application, e-commerce, booking system, tourist farm
Published in DKUM: 23.09.2025; Views: 0; Downloads: 8
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2. Investment plan and evaluation of the transition of a farm to a wellness tourist farmTatjana Klakočar, Karmen Pažek, Lazar Pavić, 2023, original scientific article Abstract: This study aimed to develop a commercial concept for transforming farms into wellness tourist destinations. The proposed scenario involved the renovation of a hayrack into a highend tourist accommodation, comprising relaxation rooms with panoramic glass walls and the renovation of the barns, as well as an outdoor swimming pond. The research methods included
description, compilation, and synthesis to explore the legislation in Slovenia related to investment performance and trends in wellness tourism to support the realisation of the proposed investment. Furthermore, the study used the method of financial estimation of investment using cost-benefit analysis to facilitate the transition. Four datasets were used for the estimation: investment income, investment costs, end value of the investment, and annual interest rate. The estimated investment cost was €530,000 and the total estimated revenue was €192,720, with total costs amounting to 50% of the total income, as well as an annual cash flow of €96,360, which was used in the assessment of the investment return period. According to the findings, the investment return period is 15 years with the lowest annual cash flow and interest rate of 3.5%. However, caution is advised due to uncertainties in the long-term costs of raw materials and energy.
Keywords: tourist farm, wellness, cost-benefit analysis
Published in DKUM: 23.04.2025; Views: 0; Downloads: 2
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3. Applying integrated data envelopment analysis and analytic hierarchy process to measuring the efficiency of tourist farms : The Case of SloveniaBoris Prevolšek, Maja Borlinič Gačnik, Črtomir Rozman, 2023, original scientific article Abstract: This paper examines the efficiency of tourist farms in Slovenia by adopting an approach using a framework of non-parametric programming—Data Envelopment Analysis (DEA) and Analytic Hierarchy Process (AHP), combining the two because the DEA analysis by itself does not take into account all attributes, especially qualitative ones. The beforementioned two methods rank the farm tourism units with respect to their efficiency. By using the DEA method, an input- and output-oriented BCC and CCR model were introduced to upgrade the criteria by including the additional non-numerical criteria of the AHP. The results of the models showed that there are possible improvements on all levels of efficiency, as well as on the criteria of the additional offer of tourist farms, which were analyzed in the AHP model with additional criteria. According to the estimated efficiency, the ranking of tourist farms differed according to the two methods. Within the group of farms assessed as efficient by DEA, the AHP model allowed a more accurate ranking.
Keywords: farm tourism, tourist farms, efficiency, data envelopment analysis (DEA), analytic hierarchy process (AHP), Slovenia
Published in DKUM: 09.04.2024; Views: 281; Downloads: 24
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4. Tourist farm service quality assessmentKarmen Pažek, Črtomir Rozman, 2010, review article Abstract: Farm tourism shows a structure different from agriculture, forestry, and fishery; farm tourism is expanding, labour intensive, generates an influx of money, and maintains the service base in the region. Farm tourism is one of the most important supplementary activities and generates considerable secondary income. This paper present the developed methodology that will enable the ranking of tourist farms based on their service quality. This is accomplished through the use of the expert system based on the DEXi decision-making method. Using DEXi, the multi-criteria decision model for the assessment of farm tourism-s service quality was developed. The model was applied in practice on 7 vacation farms. The data from the questionnaires completed by farm guests and hosts was used as input data in the multi-attribute model and as an arbitrary estimation for the farm. The results of the model are shown as the assessments for individual farms. Out of seven chosen farms, four achieved the best possible estimation. Two of them achieved middle estimation. For the last tourist farm, where a data deficit was present, the model showed two final possible estimations (very good or good and bad - depends on value of missing attributes.
Keywords: tourist farm, multi-criteria analysis, DEXi methodology, ranking
Published in DKUM: 29.03.2018; Views: 1167; Downloads: 122
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5. A Multi-criteria assesment of tourist farm service qualityČrtomir Rozman, Majda Potočnik, Karmen Pažek, Andreja Borec, Darja Majkovič, Marko Bohanec, 2009, original scientific article Abstract: Farm tourism is a significant means of supplementing farmer's incomes. This paper presents a methodology for ranking tourist farms by using a multi-criteria model based on the qualitative multi-criteria modeling methodology, DEX, to assess service quality. The software tool DEXi was used to achieve this end. The model was then applied to seven tourist farms with data derived from questionnaires completed by tourist farm operators and guests. The results are shown as service quality assessments for individual farms. The potential of the model for assessing the farms is demonstrated with the aim of providing a comprehensive explantation and justification of the assessment technique. It also indicates potential improvements that farms can make through "what-if" analysis and visualisation. Despite limitations, such as use of qualitative data only, the approach is proposed as being both appropriate and advantageous when compared with other means of ranking enterprises.
Keywords: rural tourism, tourist farm, service quality, multi-criteria modeling, Dexi
Published in DKUM: 10.07.2015; Views: 1576; Downloads: 105
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