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Segment videos were produced at different peaks to reflect different sampling criteria like land use characteristics, trails, Ciclocarrils and Ciclovia. Each segment was filmed for 20–40 seconds during bicycle rides at a speed of about 5km/h with a camera strapped, at an angle of 45 degrees, on the head. Curb lane variables such as bicycle pathway widths, curb lane motorised volume (veh/h) and vehicle speed (km/h), bicycle volume on segment, and median width were recorded in addition to secondary data. About 1,360 ratings were acquired from study participants and used in the estimation process. Ordered probability models were used to estimate random parameters of cyclists LOS perception to account for unobserved heterogeneity for all respondents. The deviance (1.085) and Pearson Chi-Square (2.309) with 1,635 degree of freedom at 0.05 level of significance shows that our model provides a better fit of the data. The study observed that BLOS was strongly influenced by side path separation, vehicle speed, motorised traffic volume and conflicts with pedestrians. However, many other factors were found to have high probabilities to influence level of service with unit change. They include bicycle lane width, wide outside lane, pavement conditions, trees and benches, daylight, gender and experience of cyclist. The impact of the variety of observed factors affecting bicyclists reveal the nature and character of urban transportation in Bogota which suggests a range of important trade-offs in further planning and management of the Cicloruta bicycle paths.

impact of luxury consumption on subjective well-being. Journal of Happiness Studies , 13(3): 411-437. Iyer, R., & Muncy, J. A. (2009). Purpose and object of anti-consumption. Journal of Business Research , 62(2), 160-168. Litchfield, J., Reilly, B., & Veneziani, M. (2012). An analysis of life satisfaction in Albania: A heteroscedastic ordered probit model approach. Journal of Economic Behavior & Organization , 81(3), 731-741. Luttmer, E. F., (2005). Neighbors as Negatives: Relative Earnings and Well-Being. The Quarterly Journal of Economics , 963-1002. Ye, Y


Background: In this paper, the effects of four groups of factors on organizational performance are examined. Those are human resource management (HRM) policies and practices, financial and business indicators, location, and firm characteristics. A review of selected literature confirmed that a similar set of factors, through its positive effects on boosting organizational performance, may significantly improve competitive advantage of firms.

Methods: An empirical analysis using firm-level data is conducted on the sample of enterprises operating in Serbia. A microeconometric approach is employed in order to specify and estimate empirical models. Two statistical models are applied. The ordered probit model is used for investigating organizational performance and the standard binary probit model for examining the decision of a firm to integrate the human resource development (HRD) department into its organizational structure. The goodness of fit measures confirmed the statistical reliability of estimated models.

Results: Estimation results revealed that optimization of the number of employees, sales and revenues, firm age, increased market demand and competitive environment, as well as the ‘right decisions’ of the top management have significantly positive effects on boosting organizational performance. Significance of on-the-job training for boosting organizational performance was not empirically supported. In the same group of factors are firm size, industry and region. An auxiliary model shown that large- and medium-sized firms, firms with high level of revenues, privately owned, foreign and those located in or near to the capital city are more likely to have HRD departments.

Conclusions: This paper provides a survey of the theoretical literature and explains empirical findings that are relevant for understanding to what extent on-the-job training, managing human resource, as well as some other internal and external organizational and financial factors are important for enhancing competitive advantage of firms.

Journal of Economics and Business 11 (1):54-66. Teker, D., Pala, A., and Kent, O. (2013). Determination of Sovereign Rating: Factor Based Ordered Probit Models for Panel Data Analysis Modelling Framework. International Journal of Economic and Financial Issues, 3 (1):122-132.

. y Wang, W. (2020). A Zero-Inflated Ordered Probit Model to Analyze Hazmat Truck Drivers’ Violation Behavior and Associated Risk Factors. IEEE Access 8, 110974-110985. DOI: 10.1109/ACCESS.2020.3001165 . [19] Agustin, I.W. (2019). Traffic violation are mostly carried out by motorcyclist. In AIP Conference Proceedings 2202, 2019, 020118. [20] Przepiorka, A.M., Hill, T., Blachnio, A.P., Sullman, J.M., Taylor, J.E. & Mamcarz, P. (2020. Psychometric properties of the Driving Behaviour Scale (DBS) among polish drivers. Transportation Research Part F: Traffic Psychology

. Journal of Competitiveness 4 (3), 92-104. da Costa Mendes, J., Oom do Valle, P., Guerreiro, M. M., & Silva, J. A. (2010). The tourist experience: Exploring the relationship between tourist satisfaction and destination loyalty. Turizam , 58 (2), 111-126. Conway, T., & Whitelock, J. (2007). Relationship marketing in the subsidised arts: The key to a strategic marketing focus? European Journal of Marketing , 41 (1/2), 199-222. Falk, M., & Falk, R. (2011). An ordered probit model of live

explaining happiness gap and the level of subjective well-being of inhabitants of post-socialist countries. The methodology consists of an ordered probit model. The paper is structured as follows. In Section 2 , we present the link between empowerment rights and subjective well-being and the mechanisms associated with interactions between them. We cover de facto , de jure and de jure – de facto perspectives on empowerment rights. Section 3 discusses the degree of life-satisfaction in post-socialist countries and possible determinants of the existence of the

techniques”, Food Quality and Preference , Vol. 16, No. 3, pp. 181-201. Verbeke, W. and Ward, R.W. (2006), “Consumer interest in information cues denoting quality, traceability and origin: An application of ordered probit models to beef labels”, Food Quality and Preference , Vol. 17m No. 6, pp. 453–467. Voon, J. P., Sing, K., Agrawal, A., Voona, J., Nguib, K., and Agrawalc, A. (2011), “Determinants of willingness to purchase organic food: An exploratory study using structural equation modelling”, International Food and Agribusiness Management Review , No. 14, Vol. 2, pp