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Innovative approaches for promoting tourism in Macedonia

2013

The paper argues the necessity of applying innovative approaches in meeting tourists' needs and preferences, thus acting as sophisticated toll for promoting tourism. The research investigates the case of Macedonia and attempts to justify the necessity of developing intelligent way for supporting and enhancing tourism promotion. Moreover, it poses positive impulses from introducing recommendation systems to tourism industry as a precondition for assisting tourists and travelers in identifying personal tailor-made itinerary. Additionally, the paper gives a glance on positive outcomes from such software module, particularly to small and tourism developing countries as Macedonia. Finally, this research aims to alarm relevant tourism-actors in the country, that the time has changed and that new innovative approaches must be introduced when addressing tourism promotion on national level.

View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by UGD Academic Repository UNIVERSITY OF TOURISM AND MANAGEMENT The Third International Scientific Congress - Biennale 5th October, 2013 Skopje, Macedonia The Third International Scientific Congress - Biennale 5th October, 2013 Skopje, Macedonia Collection of works of the Congress on the theme ICON BEST 2013 English version INTERNATIONAL SCIENTIFIC PROGRAM COMMITTEE Prof. Ace Milenkovski, Ph.D. ‐ University of Tourism and Management ‐ Skopje, Macedonia, Chair; Prof. Zoran Ivanovic, Ph.D. ‐ Faculty of Tourism and Hospitality Management, Opatija, University of Rijeka, Croatia; Prof. emeritus Slobodan Unkovic, Ph.D. ‐ Singidunum University, Beograd, Serbia; Prof. Andrew Lockwood, Ph.D. ‐ University of Surrey, Guildford, United Kingdom; Prof. Ognjen Bakic, Ph.D., Edukons University, Novi Sad, Serbia; Amelia Tomasevic, Ph.D. ‐ Tourist Board, Zagreb, Croatia; Prof. Borce Georgievski, Ph.D. ‐ Faculty of Medicine, University of St. Cyril and Methodius, Skopje, Macedonia; Prof. Cavdar Nikolov, Ph.D. ‐ Faculty of Economics, South‐West University „Neofit Rilski“, Blagoevgrad, Bulgaria; Prof. Tanja D’beva, Ph.D. ‐ Department of Economics and Organization of Tourism, University of Economics –Varna, Bulgaria; Prof. Tanja Stanovcic, Ph.D. ‐ University of Montenegro, Faculty of Tourism and Hospitality Management, Kotor, Montenegro; Prof. emeritus Aleksandar Stojmilov, Ph.D. ‐ University of Tourism and Management, Skopje, Macedonia; Doc. Alexandra Brezovec, Ph.D. ‐ Faculty of Touristic Studies, University of Primorska, Portoroz, Slovenia; Prof. Filip Papadopulos, Ph.D. ‐ Institute of Management Development, Thessaloniki, Greece; Prof. Ljuben Georgiev, Ph.D. ‐ New Bulgarian University‐Sofia, Bulgaria; Prof. Laza Lazic, Ph.D. ‐ Faculty of Sciences, Department of Geography, Tourism and Hospitality, University of Novi Sad, Serbia; Prof. Agron Reka, Ph.D. ‐ State University of Tetovo, Macedonia; Gligor Bisev, Ph.D. ‐ Stopanska banka AD, Skopje, Macedonia; Prof. Todor Kralev, Ph.D. ‐ University of Tourism and Management ‐ Skopje, Macedonia; Donco Taneski, M.Sc. ‐ HOTAM, Skopje, Macedonia; Svetozar Krstic, M.Sc. ‐ Chamber of Commerce, Beograd, Serbia; Dejan Stanojević, M.Sc. ‐ SB Merkur, Vrnjacka Banja, Serbia; Dragan Gligorijevic, M.Sc ‐ SACEN International, Beograd, Serbia; Prof. Izet Zekiri, Ph.D. ‐ The Faculty of Business and Economics, South East European University, Tetovo, Macedonia; Prof. Risto Mijalov, Ph.D., Institute of Geography, Faculty of Natural Sciences and Mathematics, University of St. Cyril and Methodius, Skopje, Macedonia; prof. d‐r Sasa Kicosev, Faculty of Sciences, Department of Geography, Tourism and Hospitality, University of Novi Sad, Serbia; doc. D‐r Almazaga Catovic, Turisticka zajednica Tuzlanskog kantona, Bosnia and Hercegovina; doc. D‐r Ostoja Perisin, Turisticka zajednica Banja Luka, Bosnia and Hercegovina; doc. D‐r Aleksandar Gjuric, Turisticka zajednica, District Brcko, Bosnia and Hercegovina… Sanja Pavlović, PhD, Snežana Štetić, PhD, Sara Stanić, MSc, Ana Vizjak, PhD Sanja Komadina, MSc Maja Vizjak, MSc Nikola Cuculeski, MBA Ilijana Petrovska, PhD. Hristina Dimeska MSc Katerina Mijalova MSc, Biljana Petrevska, Ms.C SnežanaŠtetić PhD Dario Šimičević MSc Saša Stevanović, MSc Mijalce Gjorgievski, PhD Dejan Nakovski Risto MIJALOV PhD, Goran KITEVSKI Ana Vizjak PhD, Maja Vizjak, MSc Ilija Moric Đurđica Perović Tatjana Stanovčić Sanja Peković Kole PAVLOV, MSc Ace MILENKOVSKI, PhD Gjorgi PAVLOVSKI, PhD Julijana Petrovska, M.Sc. Marina Stojmirova, M.Sc. CULTURAL INDICATORS OF SUSTAINABLE TOURISM IN URBAN AREAS IN SERBIA 250 DEVELOPMENT OF TOURIST POLICY IN THE EUROPEAN UNION 258 Emerging trends in the tourism industry – the need of alternative forms of tourism 268 EVENTS AND THEIR IMPACT ON TOURISM ‐ THE CASE OF SKOPJE INNOVATIVE APPROACHES FOR PROMOTING TOURISM IN MACEDONIA MAJOR SPORTING EVENTS AND THEIR INFLUENCEON THE DEVELOPMENT OF TOURISM IN BELGRADE Climatic features as a factor for development oftourism in the Republic of Macedonia Regional and European Economic Relations of the Republic of Macedonia and economic integration of tourism as a factor for economic development 274 281 287 296 305 SHOPPING TUORISM AND CONSUMER HABITS 310 The Role of Tangible and Intangible Elements in Tourist Satisfaction: The Empirical Evidence on Montenegrin Data 321 ANALYSIS OF GEOGRAPHICAL FACTORS IN FUNCTION OF THE DEVELOPMENT OF VINICULTURE AND WINE TOURISM IN THE TIKVESH VALLEY ANALSYIS OF POSIBILITIES OF DEVELOPMENT OF RURAL TOURISM OFFER OF SOUTH‐WEST SIDE OF MOUNTAIN SKOPSKA CRNA GORA 327 328 Conclusions of the Congress…………………….………………………………………. xxx 281 INNOVATIVE APPROACHES FOR PROMOTING TOURISM IN MACEDONIA Author: ` Biljana Petrevska, Assistant Professor, Faculty of Tourism and Business Logistics, “Goce Delcev” University ‐ Stip, Krste Misirkov bb, 2000 Stip, Macedonia, e‐mail: [email protected] Abstract: The paper argues the necessity of applying innovative approaches in meeting tourists’ needs and preferences, thus acting as sophisticated toll for promoting tourism. The research investigates the case of Macedonia and attempts to justify the necessity of developing intelligent way for supporting and enhancing tourism promotion. Moreover, it poses positive impulses from introducing recommendation systems to tourism industry as a precondition for assisting tourists and travelers in identifying personal tailor‐made itinerary. Additionally, the paper gives a glance on positive outcomes from such software module, particularly to small and tourism developing countries as Macedonia. Finally, this research aims to alarm relevant tourism‐actors in the country, that the time has changed and that new innovative approaches must be introduced when addressing tourism promotion on national level. Keywords: Tourism; Promotion; Recommendation system; Macedonia. Introduction As one of the most promising world industries, tourism is identified as source for generating numerous positive impacts, particularly to national income and economic growth. So, each country is interested in tourism development and urges measures for increasing the quantity of tourists and travelers. Yet, attracting them in a bigger number is not a trouble‐free process, particularly in times of ever‐changing environment. The base for increasing the number of tourists lies in capability to meet their requests and travel desires. Due to fact that their behavior is constantly changing and evolving, the introduction of the Web, as the leading source of searching information for tourism and travel purposes, is neglecktable. In times of enlarged number of competitors in tourism market, tourism promotion is detected as the only way‐out for differentiating. In order to pose some innovative approaches for tourism promotion, by elaborating the case of Macedonia, the paper is structured in several parts. Section one provides a snapshot on some background materials presenting interesting facts regarding tourism in Macedonia. Section two presents highlights on literature review, while the necessity of introducing new approaches for tourism promotion of Macedonia is elaborated in Section three. The final part of the paper includes main conclusions and recommendations. Generally, the contribution of this paper lies in the fact that enriches the poorly‐developed empirical academic work within this scientific area in Macedonia, with certain exceptions (Petrevska & Koceski, 2013). Additionally, this empirical investigation recommends application of sophisticated approaches for promoting Macedonia as tourist destination. Moreover, the paper may alarm the relevant tourism‐actors in the country, that the time has changed and that the on‐line experience has shifted from searching and consuming to creating, connecting and exchanging. Previously passive consumers and web surfers are now generating content, collaborating and commentating. So, it urges the need for identifying effective framework for mitigating the up‐to‐date modest tourism results, thus acting as basis for initial suggestions in improving tourism promotion of the country. 282 Background materials Tourism has emerged as one of the major industries in the world economy. In 2011, it contributed almost EUR 4.5 trillion to the world global economy, or 9% of global gross domestic product (GDP), 100 million direct jobs and EUR 500 billion investments in tourism (WTTC, 2011). Macedonia identified tourism as a mean for generating various micro and macro‐economic effects (Government of Macedonia, 2012). Up‐to‐date, tourism has accomplished an average growth of 4.64% per year, which is higher than the average growth of the entire economy (3.12%). In this respect, the participation of tourism in the creation of the GDP has probably moderate average of 1.7 % per year, but the impression is completely opposite when compared to the average for Central and Eastern Europe (CEE) of 1.6% (WTTC, 2009). With regards to the participation of tourism employees in the total workforce in Macedonia, the national average is 3.1%, which is more than twice bigger than the average of the CEE being 1.4% in 2009 (WTTC, 2009). Furthermore, the importance of tourism to national economy can be evaluated by the tourism inflows which in 2009 represented 26% of total inflows of services and 8% of exports of goods in Macedonia. In the same line, the tourism inflows were 20% higher than the foreign direct investments. In the frames of services, tourism inflows were the second biggest item (just a little bit lower compared to the inflows of transport services), which is 1.3 times higher than the inflows of business services and 2.4 times larger than communication services inflows. Accordingly, the net tourism inflows in Macedonia have an average of 1% of GDP (Petrevska, 2010 and 2012). Such condition indicates high potential to increase the tourism effects in economic activity in Macedonia. The forecasts regarding tourism development in Macedonia are very optimistic. Namely, the estimated results are encouraging and by 2021 it is expected that the direct contribution of tourism to the GDP will reach to 1.6 % thus bringing revenue of EUR 170 mil. according to the constant 2011 prices; the total contribution of tourism to GDP will rise to 6.0%; the visitor exports are expected to generate EUR 76 mil. (5.1% of total exports); and the investment in tourism is projected to reach the level of EUR 76 mil. representing 2.8% of total investment. Additionally, it is expected that the number of employees that indirectly support the tourism industry in Macedonia will have an upward trend and will reach 35000 jobs in 2021, representing 5.4% of the total workforce (WTTC, 2011). Many interesting facts occur when addressing indicators concerning certain tourism statistics in Macedonia. Namely, one may note certain remarks from the list referring the most attractive destinations for travel and tourism, issued by the World Economic Forum. Many segments are within the list covering the issues of travel and tourism regulatory framework, tourism business environment and infrastructure, tourism human, cultural and natural resources etc. From the broad spectrum, the author highlights only one segment. It refers only to the tourism infrastructure index, which is a separate pillar categorized within the section business environment and infrastructure. The author makes comparison of data for 2011 and 2013, thus making solid background for tourism infrastructure supply in Macedonia. In this line, it is noted that in 2011, the score for this pillar was 3.8 thus ranking Macedonia at the 69th place out of 139 countries (Blanke & Chiesa, 2011, 256). Slight improvement is accomplished in 2013, when the score for tourism infrastructure was 4.27 thus enabling Macedonia to improve its rank at 64th place out of 140 countries (Blacke & Chiesa, 2013, 37). Table 1. Travel & Tourism Competitiveness Index for Macedonia Year 2007 2008 2009 2011 2013 Rank 83 83 80 76 75 Total number of countries 124 130 133 139 140 Source: Author’s notes based on various issues of the World Economic Forum reports. Table 1 poses data regarding travel and tourism competitiveness index in Macedonia. Generally, one may conclude the need for more efforts in the field of improving tourism competitiveness. Despite slight improvements within the years, the progress is very modest. The vast majority of countries in the region, 283 this includes Slovenia, Croatia, Montenegro, Bulgaria and Albania, are significantly better ranked than Macedonia (Blanke and Chiesa, 2011, p. xv). Concerning the neighboring countries, only Serbia, and Bosnia and Herzegovina are ranked lower than Macedonia. In order to strengthen tourism competitiveness of Macedonia, the first national web tourism portal (www.exploringmacedonia.com) was created in 2005 as a public‐private partnership between an international donor and the Ministry of economy. In this regard, several other private initiatives act as additional tourism portals, thus supporting country’s tourism profile, like: www.travel2macedonia.com, www.go2macedonia.com, www.simplymacedonia.com, www.macedonialovesyou.com, www.mysticalmac edonia.com, www.macedonia‐timeless.com etc. Literature review One may argue the inevitable relationship between tourists and information. Moreover, it is a widely‐recognized fact that information and decision‐making have become the foundation of world economy (Wang, 2008). Due to tourism essentiality, recommenders applied in tourism have been a field of study since the very beginnings of artificial intelligence. There is a large body of literature regarding the significance and effectiveness of applying the recommenders in tourism, travelling and hospitality. It is a matter of identifying a class of intelligent applications that offer recommendations to travelers, generally as a response to their queries. They mostly leverage in‐built logical reasoning capability or algorithmic computational schemes to deliver their recommendation functionality. Thus, recommenders are an attempt to mathematically model and technically reproduce the process of recommendations in the real world. Numerous researchers made efforts in their introducing. In this respect, the need for developing intelligent recommenders which can provide a list of items that fulfill as many requirements as possible is elaborated (Jannach, 2006; Mirzadeh et al., 2004; McSherry, 2005). Also, a recommender dealing with a case‐based reasoning is introduced in order to help tourist in defining a travel plan (Ricci & Werthner, 2002; Wallace et al., 2003). Yet, as the most promising recommenders in tourism domain are the knowledge‐based and conversational approaches (Ricci et al., 2002; Thompson et al., 2004). The knowledge‐filtering, constraint‐based and casebased approaches are further engaged for recommendation (Kazienko & Kolodziejski, 2006; Ricci & Missier, 2004; Zanker et al., 2008). Additionally, the recommenders based on text mining techniques between travel agent and customer through a private Web chat may easily find an application (Loh et al., 2004). Furthermore, some late research that brought more sophisticated outcomes are referred: introducing a personalized tourist information provider as a combination of an event‐based system and a location‐based service applied to a mobile environment (Hinze et al., 2009); Investigation on sources and formats of online travel reviews and recommendations as a third‐party opinions in assisting travelers in their decision making during trip planning (Zhang et al., 2009); Findings regarding development of a web site in order to enable Internet users to locate their own preferred travel destinations according to their landscape preferences (Goossen et al., 2009); Selecting the destination from a few exceptions (Charou et al., 2010; Niaraki & Kim, 2009); Usage of orienteering problem and its extensions to model tourist trip planning problem (Vansteenwegen & Wouter, 2011); and similar. It is evidently that the research area is extending resulting in improved dependability of recommendations by certain semantic representation of social attributes of destinations (Daramola et al., 2010). Necessity of introducing new approaches for tourism promotion in Macedonia Tourism is an interesting phenomenon particularly for recommendation purposes. Being detected as the only way out in assisting tourists and travelers to identify their ideal holiday, recommenders offer personalization of information delivery to each traveler, together with travel history. Yet, the advanced tourist information systems must offer more than just relatively static information about sights and places. Over the past two decades a noteworthy transformation was made from just passive searching and surfing to creating content, collaborating and connecting. In this respect, the Web became the leading source of information particularly important in times of increased number of competitors in tourism market. The way out is detected in application of recommenders as a promising way to differentiate a site from competitors. 284 Figure 1. Architecture of decision support system (Loh et al., 2004: 159) Generally, recommendations may be made to a tourist by software, as in a multimedia totem, an ATM device, or in a Web site, or by a human intermediary (e.g., the travel agent) who will receive information from a decision support system (Figure 1). However, the most successful results may be expected by applying collaborative filtering and content‐based filtering (Figure 2). Based on conversational approaches, such recommenders are promising in tourism, meaning that the user is giving opportunity to choose a quantum of tourist items with regards to personal preferences. Figure 2 (Jannach et al., 2009: 145) It is more than obvious that whether a potential tourist will be interested in a certain item depends on his preferences. Although may sound fragile, but the vast majority of today’s tourists know exactly what they are looking for. Yet, they are very demanding and have complex, multi‐layered desires and needs. Today’s so called “postmodern tourists” have specific interests and individual motives which results in tailored made tourist products according to their particular preferences. They are often high experienced in travelling and demand perfect tourism products rather than standardized ones. Consequently, they take much more active role in producing diversified tourism products with shorter life cycles enabled by increased usage of ICT. Many researchers were interested in identifying tourists’ needs, expectations and behavior. Hence, numerous papers discuss tourist roles in order to define their considerable variations. In mostly, the behavior is related to specific demographic and background characteristics emphasizing the life course as the leading component for investigating tourist role preferences. Yet, attention should be paid to a variety of social structures and processes, including psychological needs and lifecourse stage. Despite the existence of variety and most probably, sufficient number of web‐portals that promote Macedonia as tourist destination, so far none of them act as tourism recommender. Moreover, Table 2 supports the noted conclusion by giving a glance of poor visits to particular sites referred by search engines in a three‐month period. Surprisingly, both web‐portals labeled as national are placed at the bottom of the table. Table 2. Traffic statistics for selected web-sites Web-site Traffic rank www.macedonialovesyou.com 18.824.372 www.simplymacedonia.com 14.670.989 www.go2macedonia.com 14.010.522 285 www.macedonia-timeless.com www.exploringmacedonia.com 1.690.753 1.360.389 Source: Author’s note based on www.alexa.com The forth mentioned advantages produced by recommenders fully justify the urgency and necessity of their design in Macedonia. Specifically lead from the fact that they assist tourists and visitors in planning and creating their trip and holiday in more sophisticated way. Conclusions and recommendations Based on fact that tourism is defined as one of the most economically oriented industries in the world, it enhances and strengthens national economies. Concerning Macedonia, tourism is identified as an industry which might contribute to: enhancing foreign export demand for domestic goods and services, generating foreign currency earnings, new employment opportunities within the country, repaying the foreign debt, increasing the national income etc. Additionally, it is worth noticing that travel and tourism economy in each country incorporates broad spectrum of tourism‐oriented activities and results with multiplicative impacts. The paper presented an analytical approach of positive results in developing tourism recommendation systems, thus emphasizing the necessity for their introduction in Macedonia. Tourism recommenders may serve as a guideline for tourists and travelers in the line of identifying ideal trip and holiday. So, development of such software module may generally contribute to increasing the awareness of tourist destination that is capable of fulfilling travelers’ preferences, and respectfully in raising net tourism income. Furthermore, a successful launch of a web‐based recommender at national level is in the line of supporting the economy through improvement of tourism supply in more qualitative manner. Since such portal will indicate the motives, preferences and reasons for traveling to Macedonia, it might be of high importance to all key‐tourism actors in the process of identifying measures and implementing activities necessary for creating comprehensive tourism policy. Finally, the paper may alarm the relevant tourism‐ actors in Macedonia, that the time has changed and that on‐line experience has shifted from searching and consuming to creating, connecting and exchanging. Refrerences Blanke, J., & Chiesa, T. 2011. The Travel & Tourism Competitiveness Report 2011: Beyond the Downturn. Geneva: World Economic Forum, Geneva. Blanke, J. and Chiesa, T. 2013. The Travel & Tourism Competitiveness Report 2013: Reducing Barriers to Economic Growth and Job Creation, World Economic Forum, Geneva. Charou, E., Kabassi, K., Martinis, A. and Stefouli, M. 2010. Integrating multimedia GIS technologies in a recommendation system for geo-tourism. In: Tsihrintzis G A and Jain L C (eds.). Multimedia Services in Intelligent Environment 2010. Springen-Verlag Berlin, 63-74. Daramola, O. J., Adigun, M. O., Ayo, C. K. and Olugbara, O. O. 2010. Improving the dependability of destination recommendations using information on social aspects. Tourismos: an International Multidisciplinary Journal of Tourism, 5(1): 13-34. Goossen, M., Meeuwsen, H., Franke, J. and Kuyper, M. 2009. My Ideal Tourism Destination: Personalized Destination Recommendation System Combining Individual Preferences and GIS Data. Journal of Information Technology & Tourism, 11(1): 17-30. Government of the Republic of Macedonia. 2012. National Strategy on Tourism Development 2011-2015, Skopje. Hinze, A., Voisard, A. and Buchanan, G. 2009. TIP: Personalizing Information Delivery in a Tourist Information System. Journal of Information Technology & Tourism, 11(3): 247-264. Jannach, D. 2006. Finding preferred query relaxations in content-based recommenders. IEEE Intelligent Systems Conference, Westminster, UK, 355-360. Jannach, D., Zanker, M. and Fuchs, M. 2009. Constraint-based recommendation in tourism: a multiperspective case study. Information Technology and Tourism, 11: 139-155. Niaraki, A.S., Kim, K. 2009. Ontology based personalized route planning system using a multicriteria decision making approach. Expert Systems with Applications, 36: 2250-2259. Kazienko, P. and Kolodziejski, P. 2006. Personalized Integration Recommendation Methods for E- 286 commerce. International Journal of Computer & Applications, 3(3): 12-26. Loh, S., Lorenzi,F., Saldaña, R. and Licthnow, D. 2004. A Tourism Recommender System Based on Collaboration and Text Analysis. Information Technology & Tourism, 6, 157-165. Mirzadeh, N., Ricci, F. and Bansal, M. 2004. Supporting user query relaxation in a recommender system. 5th International Conference on E-Commerce and Web Tech nologies (EC-Web), Zaragoza, Spain, 31-40. McSherry, D. 2005. Retrieval failure and recovery in recommender systems. Artificial Intelligence Review, 24: 319-338. Petrevska, B. & Koceski, S. (2013). Recommending ideal holiday at national level, Journal of Applied Economics and Business, 1(1): 15-22. Petrevska, B. 2010. Tourism in the global development strategy of Macedonia: Economic perspectives. UTMS Journal of Economics, 2(1), 101-108. Petrevska, B. 2012. Forecasting International Tourism Demand: the Evidence of Macedonia, UTMS Journal of Economics, 3(1): 45-55. Ricci, F. and Del Missier, F. 2004. Supporting Travel Decision Making through Personalized Recommendation. In: Clare-Marie Karat, Jan Blom, and John Karat (eds.), Designing Personalized User Experiences for eCommerce, Kluwer Academic Publisher, 221-251. Ricci, F. and Werthner, H. 2002. Case base querying for travel planning recommendation. Information Technology & Tourism, 4(3/4): 215-226. Ricci, F., Arslan, B., Mirzadeh, N. and Venturini, A. 2002. ITR: A case-based travel advisory system. 6th European Conference on Advances in Case-Based Reasoning, 613-627. Thompson, C., Göker, M. and Langley, P. 2004. A personalized system for conversational recommendations. Journal of Artificial Intelligence Research, 21: 393-428. Vansteenwegen, P. and Wouter, S. 2011. Trip Planning Functionalities: State of the Art and Future. Information Technology & Tourism, 12(4): 305-315. Wallace, M., Maglogiannis, I., Karpouzis, K., Kormentzas, G. and Kollias, S. 2003. Intelligent one stopshop travel recommendations using an adaptive neural network and clustering of history. Information Technology & Tourism, 6: 181-193. Wang, J. 2008. Improving decision-making practices through information filtering. International Journal of Information and Decision Sciences, 1(1): 1-4. WTTC. 2009. Travel & Tourism Economic Impact - Macedonia 2009. WTTC. 2011. Travel & Tourism Economic Impact - Macedonia 2011. Zanker, M., Fuchs, M., Höpken, W., Tuta, M. and Müller, N. 2008. Evaluating Recommender Systems in Tourism - A Case Study from Austria. In: P. O'Connor (ed). Information and Communication Technologies in Tourism, Proceedings ENTER 2008, Springer, 24-34. Zhang, L., Pan, B., Smith, W. and Li, X. 2009. Travelers’ Use of Online Reviews and Recommendations: A Qualitative Study. Journal of Information Technology & Tourism, 11(2): 157-167.