Examining shopping mall consumer decision-making styles,satisfaction and purchase intention

Understanding consumer decision-making (CDM) styles is essential for market segmentation, positioning and crafting marketing strategies within a market. Few studies have examined the structural relationship among decision-making styles that consumers exhibit during mall shopping, level of satisfaction and purchase intention. The purpose of this study was to examine CDM styles as the antecedents and predictors of level of satisfaction and purchase intention. Based on the Consumer Styles Inventory, eight CDM styles that individual exhibit during shopping mall activities are proposed in terms of utilitarian and hedonic perspectives. We hypothesize these eight CDM styles as a set of predictors of customer satisfaction and purchase intention. A total of 327 valid paper-and-pencil questionnaires were collected from several shopping malls in Kuala Lumpur, Malaysia. Partial least squares (PLS) path modelling approach, a structural equation modelling (PLS-SEM) technique was performed to test the proposed structural relationships. The empirical assessment supports that hedonic shopping styles consumers that exhibit high level of habitual, brand consciousness, fashion consciosness, recreational conscious style have lower levels of satisfaction and purchase intention during mall shopping while novelty and fashion conscious style consumers have lower level of satisfaction but do not unveil lower purchase intention. Utilitarian shopping styles consumers that exhibit high level of price conscious, confused by overchoice and high-quality conscious style have higher levels of satisfaction while impulsive/careless shoppers do not; and while price conscious, impulsive/careless, confused by overchoice consumers have higher levels of purchase intention but the high-quality conscious consumers do not unveil higher purchase intention. Further, there is a positive relationship between satisfaction and purchase intention. The practical and managerial implications are discussed.     

Palestine's International Visitors Barriers: Case Studies of Bethlehem and Ramallah

This study investigated the demographic characteristics, the travel experiences and the intentions to revisit of international tourists to the cities of Bethlehem and Ramallah, which are located in Palestine. The study conducted a survey to collect data from 293 international visitors, 8 years after the second Palestinian uprising called ‘intifada’ began. The results revealed that the majority of the foreign tourists were Europeans who traveled for religious and spiritual purposes. Moreover, most of the tourists were willing to revisit Palestine. This study resulted in a comprehensive understanding of tourism characteristics under the current political circumstances of Palestine, leading to significant implications for tourism policy‐makers. Copyright © 2011 John Wiley & Sons, Ltd.     

Analysis of travel and tourism competitiveness index in middle-east countries

The purpose of this research is to analyze tourism competitiveness in middle-east countries by using travel and tourism competitiveness index published in the report of the world economic forum. The used model is performed to analyze Promethee model and comparative analysis on the basis of data in 2015 and 2017. The analysis results showed that although Egypt, Iran, Kuwait, Lebanon and yamen improved their situation in comparison to 2015, they couldn’t improve their own competition power in comparison to other middle-east countries, and they were located in the group of countries with lower tourism competitiveness.     

Scheduling trucks in cross-docking systems: A robust meta-heuristics approach

In a cross-docking system, trucks must be scheduled to minimize the total flow time of the system. This problem is NP-hard, and this study proposes two hybrid meta-heuristics—hybrid simulated annealing and hybrid variable neighborhood search—to solve it by achieving the best sequence of truck pairs. The Taguchi method serves to reveal the best robustness of these algorithms. To demonstrate the effectiveness of the proposed methods, especially for large-sized problems, this study solves various test problems, and the computational results clearly reveal that the proposed methods outperform previous approaches.