Abstract:The research deals with the sustainable development of the Serbian and Slovenian countryside, under the influence of tourism progress. The article identifies the main rural tourism competitiveness in Serbia and Slovenia, as one of the essential factors of rural development in both countries, analyzing the main contributions and making a series of proposals to guide the future research agenda. The aim of the paper is to clarify around one obviously defined objective-to point out the competitiveness of sustainable rural tourism in typical post-socialist settings. The data for this study were collected using the Integrated Model of Destination Competitiveness to observe Serbian and Slovenian competitiveness in tourism. Determinants were assessed using a survey evaluating four demanding factors and 20 supporting factors, based upon a five-point Likert Scale. The results indicated that the friendliness of residents towards visitors, easy communication between them, together with quality of infrastructure and health facilities show the highest level of statistical correlation. These are the main propositions to start an initiative for the authorities in local communities to actively participate in sustainable rural development. The findings provide tourism stakeholders with relevant respondents' perceptions pertaining to the tourism development in non-urban areas.

PurposeThe paper introduces a resource-based linear programming model for resource optimization in small innovative enterprises (SIE).Design/methodology/approachThe model is grounded on resource-based view on the firm and dynamic capabilities approach. Linear programming technique is used to provide the actual framework to the resource-based model.FindingsThe paper introduces a new resource-based linear programming model for resource optimization in small innovative enterprises. The conceptual model is grounded on resource-based view (RBV) and dynamic capabilities strategy. The RVB of firm and firm strategy is based on the concept of economic rent. Linear programming technique is used to provide the actual framework to the resource-based model. In developing the versatility concept, study suggests a distinct sight regarding resource fungibility. Study classifies resources into multipliable, rentable and expendable resources to increases adequacy of the model. The developed model includes both tangible and intangible assets such as human capital. The survival rate of SIE in the early stages of life cycle is very low due to the competition among SIEs. In this regard, the greatest advancement of the developed resource-based linear programming model is its simplicity and versatility which is much desirable for the SIE especially in their initial stages of the life cycle. Kelliher and Reinl (2009) argued that micro firms have unique advantage over bigger firms in following term: rate of learning or redeployment of strategy in micro firms is faster than the rate of change in their environment. One very significant feature of the developed resource-based linear programming model is that mathematically the proposed model could easily be transformed into mixed integer or stochastic linear programming models to meet the time variant requirement of small firms especially when it expands its operation.Research limitations/implicationsThe survival rate of SIE in the early stages of life cycle is very low due to the competition among SIEs. In this regard, the greatest advancement of the developed resource-based linear programming model is its simplicity and versatility which is much desirable for the SIE especially in their initial stages of the life cycle. Kelliher and Reinl (2009) argued that micro firms have unique advantage over bigger firms in following term: rate of learning or redeployment of strategy in micro firms is faster than the rate of change in their environment. One very significant feature of the developed resource-based linear programming model is that mathematically the proposed model could easily be transformed into mixed integer or stochastic linear programming models to meet the time variant requirement of small firms especially when it expands its operation.Originality/valueOne very significant contribution of the present study is that the study develops a new resource-based model for SIE especially for the SIE in the initial stages of the life cycle, to gain competitive advantages. Furthermore, the present study contributes to the existing literature in strategy at least in three senses as mentioned below: 1. further addition of SIE research based on the RBV and dynamic capabilities in the strategy literature 2. in developing the versatility concept, the study suggests a distinct sight regarding resource fungibility and it classifies resources into three categories as follows: multipliable, rentable and expendable resources to increases adequacy of the model. 3. Finally, the study introduces a new resource-based linear programming model for SIE resources allocation. To the best of author’s knowledge, no such similar model is introduced by any previous studies for small firm. The greatest advancement of the developed resource-based linear programming model is its simplicity and versatility.