Tourism is one of the major sources of income for many countries and with the advent of internet, using this new channel (internet) for providing different services of tourism, i.e., e-tourism, is growing rapidly. This is also the case in Iran, but it is clear that focusing on technology alone can't lead the business to success. The key point of successful business in e-tourism is to concentrate on the customers and their behavior for having a better relationship with them. This study is intended to develop a model based on Decomposed Theory of Planned Behavior (DTPB) that considers influential factors to predict and evaluate intention of tourists and travelers while using e-tourism services and websites, such as www.expedia.com and www.priceline.com. The influential factors are studied and investigated through a survey with 259 responses. Structural Equation Modeling (SEM) has also been utilized for testing relevant hypotheses to either include or thwart specific factors which drive people to use e-tourism services provided in e-tourism websites. The results show that "Subjective Norm" and "Perceived Behavioral Control" significantly affect Iranian customer's intention to use e-tourism (i.e., the websites which offer tourism services). In this research we not only worked on evaluating a model and the relationship between constructs, but also tried to find specific factors that drive people to use e-tourism. So, besides DTPB factors, we found that Curiosity has more effect on tourist intention. The findings have implications for Iranian tourism companies to predict the behavior of tourists when they are using the e-tourism, and also develop the CRM methods in e-tourism websites.

Global warming caused by excessive consumption of fossil fuels and carbon dioxide emissions is becoming the most important environmental issue in the world. Tourism industry causes 5% of total carbon dioxide and 14% of total green house of the world. Energy consumption in tourism is in direct relation with tourists behaviors. To succeed in changing unsustainable behavior and reinforce sustainable behavior should be aware of the factors affecting it. This study explores the factors affecting the tourists’ intentions to conduct lowcarbon behaviors from a Protection Motivation theory perspective. Population of the study consists of Tehran citizens of district 1, which are selected by multi Stage Cluster Sampling. A questionnaire was used to collecte data. For analyzing collected data, structural equation modeling was used. Findings show that variables of tourists “Perceived vulnerability”, “Perceived response efficacy” and “Perceives self-efficacy” have the most effect on their low carbon behavioral intention respectively.

Background and Purpose It seems that today the world is inconceivable without football, as the number of FIFA member states (217 countries) surpasses the number of UN member states (193 countries) (Taybi, 2020, p. 21). Undoubtedly, fans are a crucial aspect of football, significantly contributing to the enhancement of its brand image and the sustainability of its services, as well as creating value and generating revenue (Richelieu & Pons, 2009, p. 179). Therefore, understanding fans' behavioral intentions has always been emphasized (Moradi & Ajagh, 2020, 54). Over the past years, researchers have increasingly focused on identifying the factors that influence these behavioral intentions in football. Despite this, previous research has often cited specific and limited populations when generalizing their results. Furthermore, the size of various effects reported in past studies has been inconsistent, leading to significant dispersion in the findings. In such situations, it is essential to synthesize repetitive research through meta-analyses and mixed-methods studies. This approach helps consolidate findings and create conditions that minimize duplication by achieving consensus on results within the field...