DOES SIZE MATTER? THE INFLUENCE OF FIRM SIZE ON WORKING CONDITIONS,JOB SATISFACTION AND QUIT INTENTIONS

Using a detailed survey on Spanish workers, this paper investigates the relationship between firm size and working conditions, the extent to which firm size differences in workers' job satisfaction can be accounted for by differences in their work environment and the impact of firm size on workers' quit intentions. The results indicate that: (1) employees in larger firms face a worse work environment; (2) working in large firms significantly reduces job satisfaction when no controls for working conditions are included, but taking them into account makes differentials across size categories statistically insignificant; and (3) no systematic differences exist in intentions to quit across firm size categories, irrespective of conditioning on wages.     

A model to study the organizational culture of the family firm

The results of research of the utilitarian type on the culture of the family firm is reported here. A model is built and defined on the basis of the main arguments supporting the following theories: general systems theory, neoinstitutional theory, transformational leadership theory, field theory, learning theory, and group dynamics theory. The resulting model is an instrument that can be used to deepen our understanding of the organizational culture of this type of firm. It should prove to be a powerful tool to exploit the competitive potential of this culture, which has often been noted in the literature.     

Performance analysis of the Gulf hotel industry: A Malmquist index with bias correction

This study uses the Malmquist index with bias correction to analyze the performance of hotel chains from the UAE, Saudi Arabia and Oman. We show that Saudi Arabia hotel chains have the highest productivity growth, followed by the UAE and Omani hotel chains. A further decomposition of productivity indicates that a small number of hotel chains experienced an increase in revenues for lower occupancy rate, while most other hotel chains experienced an increase in occupancy rate for lower revenues. Related market discussions of the results are provided.     

Quality of service and segmentation in the MICE industry: An approximation based on fuzzy logic

This article aims to evaluate the service quality experienced at academic conferences held at the Universidad Técnica Particular de Loja in Ecuador. Our approach is based on fuzzy logic and ideal solutions to calculate a global attendee satisfaction index for specific market segments: Gender, nationality, and age. Current literature on the service quality experienced by conference attendees is still scarce. Our results show that the analyzed segments experience varying levels of satisfaction, and that the more influential attributes to each of them are also different. Our results can be applied to improve the competitiveness of Loja and that of Universidad Técnica Particular de Loja.     

Profiling the segments of senior tourists throughout motivation and travel characteristics

Interest in tourism market segmentation of seniors has been increasing in recent years as the tourism industry has begun to be aware of their importance for the sector. This is a very heterogeneous group, with greater purchasing power and lifestyle-oriented entertainment and enjoyment of leisure time by performing travel than previous generations. This study strives to contribute towards the hitherto scarce research on segmentation in senior tourism. Specifically, this work aims to determine the existence of various profiles of senior tourism by means of using socio-demographic variables, motivation and characteristics of travel of seniors. For this, two complementary analysis techniques, the nonlinear canonical correlation (OVERALS) and a two-stage cluster analysis, were used. Five market segments were identified according to the behavioural variables analysed that allow marketers to target this group in the most convenient manner and to exploit new market opportunities.     

Where to vacation? An agent-based approach to modelling tourist decision-making process

Agent-based models (ABMs) are becoming more relevant in social simulation due to the potential to model complex phenomena that emerge from individual interactions. In tourism research, complexity is a subject of growing interest and researchers start to analyse the tourism system as a complex phenomenon. However, there is little application of ABMs as a tool to explore and predict tourism patterns. The purpose of the paper is to develop an ABM that increases knowledge in tourism research by (i) considering the complexity of tourism phenomenon, (ii) providing tools to explore the complex relations between system components and (iii) giving insights on the functioning of the system and the tourist decision-making process. A theoretical ABM is developed to improve knowledge on tourist decision-making in the selection of a destination to vacation. Tourists’ behaviour, such as individual motivation, and social network influence in the vacation decision-making process are hereby discussed.