Role of food neophilia in food market tourists’ motivational construct: The case of La Boqueria in Barcelona,Spain

In this paper we advocate the study of local food markets to explore fundamental issues about the relationship between these urban tourist attractions and visitors’ motivation and satisfaction. Based on a survey in La Boqueria Market in Barcelona, Spain, we test the direct effect of escape from routine, cultural experience, prestige, and food market involvement on satisfaction, and also the moderator role of food neophilia in this relationship. We conclude that tourists visiting food markets are motivated mainly by cultural experience and interaction with local producers, while food neophilia plays a significant moderator role.     

What drives passenger loyalty to traditional and low-cost airlines? A formative partial least squares approach

Based on a case study involving passengers from Lufthansa, Croatia Airlines and Germanwings, we examine the determinants of passenger loyalty among users of traditional full-service airlines and of low-cost carriers. In particular, using formative modeling the study analyzes the effects of service quality and price on carrier choice and loyalty.     

An Extended Neural Network-Based Importance-Performance Analysis for Enhancing Wine Fair Experience

This article presents the results of a study conducted at the Dalmacija Wine Expo, a regional wine fair that was held for the first time in 2010 in Makarska, Croatia. To identify critical attributes impacting the experience of fair participants, two separate surveys were conducted among visitors and exhibitors. In analyzing the data, this study used an extended neural network-based importance-performance analysis (IPA) that combines measures of both the relevance (i.e., stated importance/general importance) and determinance (i.e., derived importance/actual influence) of fair attributes. Compared to traditional IPA approaches with uni-dimensional operationalization of attribute-importance, such an approach provided significantly more detailed (and reliable) managerial implications.     

Variable neighborhood search heuristic for nonconvex portfolio optimization

Abstract

In this article we consider a portfolio optimization problem under multiple real-world constraints, such as: cardinality constraints, tracking error, active share, and turnover. We propose a heuristic based on variable neighborhood search (VNS) that effectively addresses additional constraints that introduce non-convexities. In the VNS-based heuristic, several neighborhood structures are introduced and fast local search is implemented. We develop a VNS portfolio rebalancing framework (VNS-PRF) with two rebalance strategies. Data sets provided by a financial investment firm are used to evaluate the validity and reliability of the proposed VNS-PRF. Computational experiments and different portfolio performance measures indicate that our approach is able to obtain solutions with competitive quality and can be applied on large-scale data sets.     

Age and gender differences between pupils’ preferences in teaching general and compulsory technology education in Croatia

International Journal of Technology and Design Education - Today’s dynamic change of the pupils’ technological environment certainly affects their preferences towards technology, which...     

Evaluating hotel animation programs at Mediterranean sun-and-sea resorts: An impact-asymmetry analysis

This study explores the determinants of tourist satisfaction and dissatisfaction with recreational services typically offered by sun-and-sea resorts, using the case of a large Croatian chain of hotels and resorts in the coastal region. The sample consisted of 994 guests drawn from the guest database. The analysis encompassed three types of animation programs: (i) sports activities; (ii) evening entertainment; and (iii) entertainment programs for children. Impact-asymmetry analysis was used to quantify potentials of particular service attributes to generate satisfaction and dissatisfaction, and to determine key-drivers according to the three-factor theory of customer satisfaction. The key-driver analysis was paired with qualitative data (guest comments on reasons for dissatisfaction) to provide valuable guidance for the hotel management in achieving higher levels of guest satisfaction within this segment of resort services. The results indicate several significant asymmetries in the formation of overall guest satisfaction, as well as differences according to the type of accommodation and selected demographic characteristics of tourists.     

Using dummy regression to explore asymmetric effects in tourist satisfaction: A cautionary note

This research note addresses the misuse of standardized weights as measures of effect in dummy regression, which is the most frequently used technique for assessing asymmetric effects in the formation of tourist satisfaction. Unlike in regular regressions, standardized weights have no straightforward interpretation in dummy regressions, but they only carry the risk of providing misleading implications in theory building and guiding managerial action. To empirically underpin the arguments put forward in this note, an illustrative case example is used that provides insight into the underlying statistical mechanisms that cause unstandardized and standardized weights to provide significantly different implications in dummy regressions. The findings of this note should help to prevent bad practice in future studies that make use of the technique in assessments of asymmetric effects in customer satisfaction and/or the three-factor structure of customer satisfaction. However, the points put forward hold for dummy regressions in general.