Investigating the moderating effect of information sources on cruise tourist behaviour in a port of call

The aim of the study is to examine how destination knowledge acquired by cruisers through different information sources (online versus others) can moderate destination image formation and the relationship of image–satisfaction–behavioural intentions in a port of call. A multiple group analysis with partial least square method was carried out using data collected from a major tourism destination in Spain: Valencia. The findings revealed knowledge acquired through different information sources is a moderator of the image–satisfaction and satisfaction–behavioural intention relationships. The destination image formation is also significantly different from one group to the other. The findings of this study have a number of practical implications.     

Nature-based recreation associated with connectedness to nature and leisure satisfaction among students in Brazil

ABSTRACT

There is growing evidence that nature-based recreation (NBR) during childhood promotes connectedness to nature, which in turn fuels NBR during adulthood. In addition to providing a number of health benefits, NBR participation may enhance leisure satisfaction, an important predictor of happiness and life satisfaction. In this exploratory study, we tested these hypothesised links using a path model with a cross-sectional sample of 224 Brazilian college students, where NBR participation during childhood increases connectedness to nature and NBR participation during adulthood, which in turn promotes leisure satisfaction. The model fit the data well χ² (2) = 1.924, χ²/df = 0.962 (N = 220, p = .38), CFI = 1.00, AGFI = .978, GFI = .996, and RMSEA = .00, with results showing an indirect positive link between NBR during childhood and leisure satisfaction, and a direct link between NBR during adulthood and leisure satisfaction. The indirect effect of connectedness to nature on leisure satisfaction was also significant: NBR during childhood fostered connectedness to nature, which motivated NBR during adulthood and higher levels of leisure satisfaction. Leisure practitioners can improve people’s leisure satisfaction by promoting engagement in NBR activities across life stages and emphasising connection to nature.     

Kognitive Dissonanz »Revisited«

Using the theory of cognitive dissonance, this study investigates whether users of an online magazine prefer contents that agrees to their attitudes to political issues. In contrast to earlier studies, dissonance is defined issue-specifically rather than by party identification. Moreover, personal relevance is also included. In a two-step data collection, attitudes and relevance assessments were measured first. Participants were asked in a second session to look at an online magazine. Background software recorded the selection of and the time spent with specific contents as participants looked at the magazine. Results show that users spent more time with attitude-consistent information. This was, however, mostly due to persons who had rated issue relevance high. Users with low or moderate rating for issue relevance spent significantly less time with attitude-consistent content and significantly more time with attitude-inconsistent information, as compared with users with high relevance ratings. The influence of issue relevance is discussed as an explanation of contradictory results on cognitive dissonance and media use.     

Three Corrected Score Tests for Generalized Linear Models with Dispersion Covariates

We develop three corrected score tests for generalized linear models with dispersion covariates, thus generalizing the results of Cordeiro , Ferrari and Paula (1993) and Cribari-Neto and Ferrari (1995) . We present, in matrix notation, general formulae for the coefficients which define the corrected statistics. The formulae only require simple operations on matrices and can be used to obtain analytically closed-form corrections for score test statistics in a variety of special generalized linear models with dispersion covariates. They also have advantages for numerical purposes since our formulae are readily computable using a language supporting numerical linear algebra. Two examples, namely, iid sampling without covariates on the mean or dispersion parameter oand one-way classification models, are given. We also present some simulations where the three corrected tests perform better than the usual score test, the likelihood ratio test and its Bartlett corrected version. Finally, we present a numerical example for a data set discussed by Simonoff and Tsai (1994) .     

The entrepreneurial motivation in academia: a multidimensional construct

In this paper we propose a model to analyse the motivation of academic entrepreneurs that comprises six dimensions: personal, relating to the entrepreneurial opportunity, to scientific knowledge, to the availability of resources, to the incubator organization, and to the social environment. The model is tested based on information from a survey administered to 152 Spanish academic entrepreneurs. Our results show that entrepreneurial opportunity is not part of the entrepreneurial motivation, but is of the utmost importance to academic entrepreneurs. Also, we find the scientific knowledge is the main driver of entrepreneurial activity in the academia.     

Decomposing productivity patterns in a conditional convergence framework

In this study we examine regional data on per worker GDP, disaggregated at sectoral level, by focusing our interest on the role of differences in the sectoral composition of activities, and in productivity gaps that are uniform across sectors, in explaining the catching-up process, which is realized through physical and human capital as well as technological knowledge accumulation. Our objective is to investigate how much of the interregional inequality in aggregate productivity per worker is imputable to each component. A methodology for identifying and analyzing sources of inequality from a decomposed perspective is developed in the growth framework by combining a shift-share based technique and a SUR model specification for the conditional-convergence analysis. The proposed approach is employed to analyze aggregate interregional inequality of per worker productivity levels in Italy over the period 1970–2000. With respect to the existing empirical results, our approach provides a more comprehensive and detailed examination of the contribution of each identified component in explaining the regional productivity gaps in Italy. It is argued that region-specific productivity differentials, uniform across sectors, explain a quite large share of differences in productivity per worker. However, sectoral composition plays a non negligible role, although decreasing since the end of 1980s, and very different productivity patterns emerge within geographical areas.

Linking learning with governance in networks and clusters: key issues for analysis and policy

In this paper we analyse the relationship between governance and learning in clusters and networks. In particular, we see these two key elements as interdependent, suggesting that, under particular circumstances, such interdependence may drive clusters and networks towards a dynamic development trajectory. A pure ‘governance perspective’ makes the development of any locality dependent on the system of powers which exists within the locality or across the global value chain. In parallel, a pure ‘competence-based approach’ focuses mainly on the capabilities of actors to learn and undertake activities. In contrast, we open the prospects for an interdependent relation that may change the actual competences of actors as well as the governance settings and dynamics in networks and clusters. When supported by public policies, the learning process may have the potential to modify the governance environment. Simultaneously, the learning process is intrinsically influenced by economic power, which may seriously affect the development prospects of clusters and networks. This is why an intertwined consideration of both aspects is necessary to promote specific approaches to learning and to design appropriate policies. In this paper we offer two preliminary case studies to clarify some of these dynamics: the first taken from the computers cluster in Costa Rica and the second from an Italian bio-pharmaceutical firm and its production network. The first case study refers to the software cluster that was created from scratch in Costa Rica thanks to an enlightened government policy in coordination with new local enterprises and an important foreign direct investor; while the second reflects on the ability of an individual company to create a network of relationships with large transnational companies in order to acquire new competences without falling into a subordinate position with respect to its larger partners.     

Does intellectual monopoly stimulate or stifle innovation?

This study develops an R&D-based growth model with vertical and horizontal innovation to shed some light on the current debate on whether patent protection stimulates or stifles innovation. We analyze the effects of patent protection in the form of blocking patents. We show that patent protection changes the direction of innovation by having asymmetric effects on vertical innovation (i.e., quality improvement) and horizontal innovation (i.e., variety expansion). Calibrating the model and simulating transition dynamics, we find that strengthening the effect of blocking patents stifles vertical innovation and decreases economic growth but increases social welfare due to an increase in horizontal innovation. In light of this finding, we argue that in order to properly analyze the growth and welfare implications of patents, it is important to consider their often neglected compositional effects on vertical and horizontal innovation.     

Reputational cheap talk with misunderstanding

We consider a cheap talk game with a sender who has a reputational concern for an ability to predict a state of the world correctly, and where receivers may misunderstand the message sent. When communication between the sender and each receiver is private, we identify an equilibrium in which the sender only discloses the least noisy information. Hence, what determines the amount of information revealed is not the absolute noise level of communication, but the extent to which the noise level may vary. The resulting threshold in transmission noise for which information is revealed may differ across receivers, but is unrelated to the quality of the information channel. When information transmission has to be public, a race to the bottom results: the cut-off level for noise of transmitted information now drops to the lowest cut-off level for any receiver in the audience.     

Asymmetries and interdependencies in time use between Italian parents

In recent decades, changes in parents’ attitudes towards the importance of spending time with children to optimize their future behaviour and cognitive development have greatly affected patterns of time allocation among both working and nonworking parents in all developed countries. We compare the two waves of the Italian Time Use dataset (1988 and 2002) to analyse how family time allocation changed over time in a country that was undergoing a marked increase in female employment rate and a continuous decline in total fertility rate. We focus especially on how parents’ time with their children depends on their employment status and household characteristics. Using a simultaneous sequential approach, we consider links among the different time uses of individuals and correlations with spouses’ decisions. We find that wives’ time at work time strongly influences the time spent by both spouses with their children in 2002, but not in 1988. Fathers were much more involved in childcare and rearing in 2002 than in 1988. In general, as women's work time increased, substitutes for their childcare time were found within the household (fathers or other co-resident adults).