Fogyasztói magatartás a hazai utazási szolgáltatások piacán - a hibrid vásárlói magatartás vizsgálata (Consumer behaviour on market of the Hungarian travel services – Examination of hybrid consumption)

A szerzők kutatási projektjükben a hazai lakosság utazással kapcsolatos fogyasztási, vásárlási magatartását vizsgálták, különös tekintettel a hibrid fogyasztói viselkedés alakulására. A kutatás a rendszeresen utazó vagy az utazás iránt érdeklődő csoportra terjedt ki. Az első, kvalitatív fázisban a nyaralás értelmezését, a keresés és döntés kritériumait tárták fel, majd következő lépésben statisztikai elemzésekkel vizsgálták a fogyasztói magatartás jellemzőit. Indexszámítás alapján besorolták a válaszadókat a hibrid fogyasztás kategóriáiba. Besorolásuk szerint a megtakarításorientált olcsón vásárlók és a komfortorientált márkavásárlók jelentik a legnagyobb csoportokat, az előbbi 31,9%-ot, az utóbbi 29,6%-ot képviselve a mintában. A megtakarítás-orientált márkavásárlók 21%-ot, a komfortorientált olcsón vásárlók 17,5%-ot tesznek ki. Elemzésük igazolta, hogy a hibrid vásárlói magatartás elméleti megközelítése jól használható a hazai utazási piac elemzésekor. ________ Recent study examines travelling behaviour in Hungary with special emphasis on hybrid consumption. Using qualitative and quantitative analysis the study explore the decision making process related to hybrid consumption in travel services. Based on indexes the authors classified respondents into categories of hybrid consumption. According to their classification the main groups are savings-oriented budget shoppersand comfort-oriented brand shoppers, representing 31,9% and 29,6% share in the total sample, accordingly. Based on their analysis the approach of hybrid consumption proved to be useful to analyse consumer behaviour in travel services.

Defining failure in the nonprofit organization: The case of four human service agencies

Private nonprofit human service organizations provide a spectrum of services that aim to resolve societal problems. Their failure may leave needed and desired services unprovided or not provided sufficiently to meet public demand. However, the concept of organizational failure has not been examined for the nonprofit organization. This research addresses the deficiency in the literatures of organization failure and nonprofit organizations.^ An eight category typology, developed from a review of the current literature and findings from expert interviews, is initially presented to define nonprofit organization failure. A multiple case study design is used to test the typology in four nonprofit human service delivery agencies. The case analysis reduces the typology to five types salient to nonprofit organization failure: input failure, legitimacy failure, adaptive failure, management failure and leadership failure.^ The resulting five category typology is useful to both theory builders and nonprofit practitioners. For theory development, the interaction of the failure types extends the literature and lays a foundation for a theory of nonprofit organization failure that diffuses management and leadership across all of the failure types, highlights management and leadership failure as collective functions shared by paid staff and the volunteer board of directors, and emphasizes the importance of organization legitimacy.^ From a practical perspective, the typology provides a tool for diagnosing failure in the nonprofit organization. Using the management indicators developed for the typology, a checklist of the warning signals of potential failure, emphasizing the key types of management and leadership, offers nonprofit decision makers a priori examination of an organization's propensity for failure. ^

A study of the relationship between U.S. hotel companies and travel agency companies: Determinants of the success of the relationship

The primary objectives of this study were to describe the relationship that U.S. hotel companies have with travel agency companies and to identify the determinants of a successful relationship.^ The unit of analysis was hotel companies operating in U.S. One hundred and three hotel companies contributed information for this research. The data were collected through a questionnaire developed from previous empirical studies and from interviews with hospitality management professors and hotel sales and marketing directors.^ Simple and multiple regression analyses indicated that in order to have successful relationships with travel agency companies, hotel companies should (a) show more commitment or dedication to working with the travel agents, (b) have more trust in the travel agents themselves, and (c) be less dependent on any one travel agent for their business.^ Additionally, the results suggest that hotel companies who coordinate activities with travel agents companies and who communicate with them in a timely, accurate, adequate, complete and credible manner have more successful interorganizational relationships than those who do not.^ Furthermore, hotel companies who share proprietary sales and any other information with travel agents reported better relationships. (Abstract shortened by UMI.) ^

Spatial-temporal mining of archived automatic vehicle location (AVL) data for transit service planning applications

An Automatic Vehicle Location (AVL) system is a computer-based vehicle tracking system that is capable of determining a vehicle's location in real time. As a major technology of the Advanced Public Transportation System (APTS), AVL systems have been widely deployed by transit agencies for purposes such as real-time operation monitoring, computer-aided dispatching, and arrival time prediction. AVL systems make a large amount of transit performance data available that are valuable for transit performance management and planning purposes. However, the difficulties of extracting useful information from the huge spatial-temporal database have hindered off-line applications of the AVL data. ^ In this study, a data mining process, including data integration, cluster analysis, and multiple regression, is proposed. The AVL-generated data are first integrated into a Geographic Information System (GIS) platform. The model-based cluster method is employed to investigate the spatial and temporal patterns of transit travel speeds, which may be easily translated into travel time. The transit speed variations along the route segments are identified. Transit service periods such as morning peak, mid-day, afternoon peak, and evening periods are determined based on analyses of transit travel speed variations for different times of day. The seasonal patterns of transit performance are investigated by using the analysis of variance (ANOVA). Travel speed models based on the clustered time-of-day intervals are developed using important factors identified as having significant effects on speed for different time-of-day periods. ^ It has been found that transit performance varied from different seasons and different time-of-day periods. The geographic location of a transit route segment also plays a role in the variation of the transit performance. The results of this research indicate that advanced data mining techniques have good potential in providing automated techniques of assisting transit agencies in service planning, scheduling, and operations control. ^