Relationship Quality with a Travel Agency: The Influence of the Postpurchase Perceived Value of a Tourism Package

2007 ◽  
Vol 7 (3-4) ◽  
pp. 194-211 ◽  
Author(s):  
Miguel A. Moliner ◽  
Javier Sánchez ◽  
Rosa M. Rodríguez ◽  
Luís Callarisa
Keyword(s):  
Relationship Quality ◽  
Perceived Value ◽  
Causal Link ◽  
Travel Agency ◽  
Short Term ◽  
Direct Role ◽  
Lifetime Value ◽  
Post Purchase ◽  
The Relationship

Relationship quality is an emerging concept that attempts to measure the lifetime value of a customer. The indicators that determine the construct are satisfaction with the relationship, the customer's trust and the customer's level of commitment. This paper considers how the post-purchase perceived value of a tourism package influences the relationship quality with a travel agency. Gummesson posits the existence of a causal link between perceived value and relationship quality. The results show that the tourist's satisfaction is the key variable in the relationship quality. Affect plays a fundamental direct role in long-term valuation, while cognition is more influential in the short term.

Molecular biology of enzyme adaptations in higher eukaryotes

Genome ◽  
1989 ◽  
Vol 31 (1) ◽  
pp. 272-283 ◽  
Author(s):  
Donal A. Hickey ◽  
Bernhard F. Benkel ◽  
Charalambos Magoulas
Keyword(s):  
Molecular Biology ◽  
Tissue Specificity ◽  
Enzyme System ◽  
Direct Interaction ◽  
Evolutionary Genetics ◽  
Short Term ◽  
Eukaryotic Genes ◽  
Higher Eukaryotes ◽  
The Relationship

Multicellular eukaryotes have evolved complex homeostatic mechanisms that buffer the majority of their cells from direct interaction with the external environment. Thus, in these organisms long-term adaptations are generally achieved by modulating the developmental profile and tissue specificity of gene expression. Nevertheless, a subset of eukaryotic genes are still involved in direct responses to environmental fluctuations. It is the adaptative responses in the expression of these genes that buffers many other genes from direct environmental effects. Both microevolutionary and macroevolutionary patterns of change in the structure and regulation of such genes are illustrated by the sequences encoding α-amylases. The molecular biology and evolution of α-amylases in Drosophila and other higher eukaryotes are presented. The amylase system illustrates the effects of both long-term and short-term natural selection, acting on both the structural and regulatory components of a gene–enzyme system. This system offers an opportunity for linking evolutionary genetics to molecular biology, and it allows us to explore the relationship between short-term microevolutionary changes and long-term adaptations.Key words: gene regulation, molecular evolution, eukaryotes, Drosophila, amylase.

Using Twitter Data to Estimate the Relationship between Short-term Mobility and Long-term Migration

2017 ◽  
Author(s):  
Lee Fiorio ◽  
Guy Abel ◽  
Jixuan Cai ◽  
Emilio Zagheni ◽  
Ingmar Weber ◽  
...  
Keyword(s):  
Short Term ◽  
Twitter Data ◽  
The Relationship

scholarly journals BANK PROFITABILITY AND MACROECONOMY: EVIDENCE FROM LITHUANIA

2017 ◽  
Vol 24 (2) ◽  
pp. 383-405 ◽  
Author(s):  
Laurynas NARUŠEVIČIUS
Keyword(s):  
Banking Sector ◽  
Short Term ◽  
Empirical Examination ◽  
Bank Profitability ◽  
Pooled Mean Group ◽  
Real Gdp ◽  
Income Statement ◽  
Main Determinants ◽  
The Relationship

The purpose of this paper is to investigate the relationship between profitability of the Lithuanian banking sector and its internal and external determinants. We use the panel error correc­tion model to assess long-term and short-term determinants of items from bank income statements (net interest income, net fee and commission income and operating expenses). The results of the pooled mean group estimator show that bank size and real GDP are the main determinants in the long-term. Meanwhile, empirical examination suggests various variables as short-term determinants of income statement items. The pooled mean group estimation technique and the analysis of sepa­rate income statement items enable us to have a better insight into the Lithuanian banking sector and determinants of its revenue and expenses.

scholarly journals Bootstrap ARDL Test on the Relationship among Trade, FDI and CO2 Emissions: Based on the Experience of BRICS Countries

2019 ◽  
Author(s):  
Fumei He ◽  
Ke-Chiun Chang ◽  
Min Li ◽  
Xueping Li ◽  
Fangjhy Li
Keyword(s):  
Foreign Direct Investment ◽  
Causal Relationship ◽  
Co2 Emissions ◽  
Direct Investment ◽  
Export Trade ◽  
Short Term ◽  
Brics Countries ◽  
The Relationship ◽  
Cointegration Relationship

We used the Bootstrap ARDL method to test the relationship between the export trades, FDI and CO2 emissions of the BRICS countries. We found that China's foreign direct investment and the lag one period of CO2 emissions have a cointegration on exports. South Africa's foreign direct investment and CO2 emissions have a cointegration relationship with the lag one period of exports, and South Africa's the lag one period of exports and foreign direct investment have a cointegration relationship with the lag one period of CO2 emissions. But whether it is China or South Africa, these three variables have no causal relationship in the long-term. Among the variables of other BRICS countries, Russia is the only country showed degenerate case #1 in McNown et al. mentioned in their paper. When we examined short-term causality, we found that CO2 emissions and export trade showed a reverse causal relationship, while FDI and carbon emissions were not so obvious. Export trade has a positive causal relationship with FDI. Those variables are different from different situations and different countries.

scholarly journals Analisis Indeks Harga Konsumen di Indonesia Melalui Pendekatan Kointegrasi

2019 ◽  
Vol 4 (2) ◽  
pp. 110-118
Author(s):  
Muhamad Muin ◽  
Keyword(s):  
Exchange Rate ◽  
Empirical Study ◽  
Money Supply ◽  
Price Index ◽  
Consumer Price Index ◽  
Data Series ◽  
Short Term ◽  
Monthly Data ◽  
The Relationship

This study aims to analyze the relationship between the rupiah exchange rate (RER) and the money supply (M1) on the outgrowth of the consumer price index (CPI) in Indonesia. The data used in this study are monthly data series from January 2005 to January 2019. The results of this empirical study shows that there is a relationship between RER and M1 on CPI in the long term and there is a correction in the short term balance (ECM) which is influenced by M1. All of these variables are significant at α = 5% and partly significant at α = 1%.

The Relationship between Goal Proximity and Specificity in Bowling: A Field Experiment

1990 ◽  
Vol 4 (2) ◽  
pp. 145-154 ◽  
Author(s):  
Steven H. Frierman ◽  
Robert S. Weinberg ◽  
Allen Jackson
Keyword(s):  
Goal Setting ◽  
Repeated Measures ◽  
Questionnaire Data ◽  
Short Term ◽  
Level Of Confidence ◽  
Goal Condition ◽  
Main Effect ◽  
The Relationship ◽  
Better Than

The purpose of this investigation was twofold: to determine if individuals who were assigned specific, difficult goals perform better than those assigned “do your best” goals, and to examine the importance of goal proximity (longterm vs. short-term) on bowling performance. Subjects were 72 students enrolled in two beginning bowling courses at a 4-year university. They were matched according to baseline bowling averages and then randomly assigned to one of four goal-setting conditions. A 4 × 5 (Goal Condition × Trials) ANOVA with repeated measures on the last factor revealed a significant goal condition main effect, with the long-term goal group improving more than the do-your-best group. No other performance comparisons reached significance. Questionnaire data revealed that subjects in all three numerical goal conditions rated their level of confidence significantly higher than the do-your-best goal group in Week 1, but the long-term goal group displayed a significantly higher level of confidence than the other three goal groups in Week 4. All other questions indicated that all groups tried hard and were committed to and accepted their goals.

scholarly journals Assessing the Spatial and Spatio-Temporal Distribution of Forest Species via Bayesian Hierarchical Modeling

Forests ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 573 ◽  
Author(s):  
Óscar Rodríguez de Rivera ◽  
Antonio López-Quílez ◽  
Marta Blangiardo
Keyword(s):  
Hierarchical Modeling ◽  
Temporal Distribution ◽  
Short Term ◽  
Distribution Models ◽  
Address Climate Change ◽  
Bayesian Hierarchical ◽  
Temporal Models ◽  
Spatio Temporal ◽  
The Relationship

Climatic change is expected to affect forest development in the short term, as well as the spatial distribution of species in the long term. Species distribution models are potentially useful tools for guiding species choices in reforestation and forest management prescriptions to address climate change. The aim of this study is to build spatial and spatio-temporal models to predict the distribution of four different species present in the Spanish Forest Inventory. We have compared the different models and showed how accounting for dependencies in space and time affect the relationship between species and environmental variables.

scholarly journals Word learning, phonological short-term memory, phonotactic probability and long-term memory: towards an integrated framework

2009 ◽  
Vol 364 (1536) ◽  
pp. 3755-3771 ◽  
Author(s):  
Prahlad Gupta ◽  
Jamie Tisdale
Keyword(s):  
Computational Model ◽  
Word Learning ◽  
Short Term Memory ◽  
Long Term Memory ◽  
Short Term ◽  
Phonotactic Probability ◽  
Term Memory ◽  
The Third ◽  
The Relationship

Word learning is studied in a multitude of ways, and it is often not clear what the relationship is between different phenomena. In this article, we begin by outlining a very simple functional framework that despite its simplicity can serve as a useful organizing scheme for thinking about various types of studies of word learning. We then review a number of themes that in recent years have emerged as important topics in the study of word learning, and relate them to the functional framework, noting nevertheless that these topics have tended to be somewhat separate areas of study. In the third part of the article, we describe a recent computational model and discuss how it offers a framework that can integrate and relate these various topics in word learning to each other. We conclude that issues that have typically been studied as separate topics can perhaps more fruitfully be thought of as closely integrated, with the present framework offering several suggestions about the nature of such integration.

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