In recent years, the use of mobile devices in the marketing world is increasing parallel with technological advances. The main problem of this research is to determine agencies’ use of what type of mobile tools for what type of purposes in the marketing process. The aim of this research is to identify Mobile Marketing (MM) applications used by group A travel agencies, and to describe the attitudes towards MM applications of agencies. According to related law, it is only group A agencies give all agency services. Therefore, it is thought that MM is more widely used by those agencies. Thus, this research was made only on the group A agencies. The population of study was consisted of 675 groups A agencies’ representatives deployed in the European and Asian sides of Istanbul. A questionnaire was used as data collection tool. Questionnaire form consisted of two parts. In the first part, questions concerning MM and in the second part, questions regarding demographic issues to managers and travel agents took place. The results were given as descriptive statistics (frequencies, percentages, mean and standard deviation) on the tables. T-test and One Way ANOVA analysis were performed for the differences of mean among groups. In the study it was concluded that agencies use mobile phones mostly and mobile computers for increasing sales firstly and direct marketing. Thus, the main hypothesis established was confirmed partly.
Purpose Because of competition, residential property developers use a variety of promotional tools to gain recognition and increase their market share and the demand for housing, and to manage their customer relations. This study aims to examine what real estate developers did to detect the need for types of housing, and pricing and promoting housing. It also sought clues about how they manage customer relations in residential sales. Design/methodology/approach In this study, semi-structured interviews were conducted with real estate developers. This study has heuristic characteristics based on qualitative data. Document reviews, descriptive analysis and discourse analysis were carried out on the interview data and other sources. As purposeful sampling is generally used in qualitative studies; intensity sampling, homogeneous sampling, criterion sampling and snowball sampling were used together in this study. Findings The study found that real estate developers were inadequate at advertising and promoting, allocated little budget for promotion and did not use technology sufficiently. The real estate developers gave discounts at rates that did not actually desire, had to create payment plans, and as a result, they lost customers because they could not manage customer relations well. Research limitations/implications Interviews were conducted with 15 real estate developers who have been selling residential properties for more than 10 years in Süleymanpasa and Çorlu districts of Tekirdag. Data obtained are mostly qualitative. Originality/value This study aimed to determine real estate developers’ ability to implement a variety of promotional strategies and manage customer relations. Results and conclusions can offer significant clues about real estate developers with similar characteristics. Its conclusions of this study can be compared to similar studies of real estate developers in many regions of Turkey.
This research aims to develop an attitude scale towards preferences of Local Fast-Food (LFF) restaurants. 705 valid questionnaires were used randomly divided into two. At first, Parallel Analysis test and Explanatory Factor Analysis (EFA) were applied to the primary data set (n1=350). 11 items with communalities values less than 0.50 and without factor load were ejected from the scale. The remaining 10 items in the scale were grouped under four factors. The number of dimensions was investigated with the Parallel Analysis method, and the number of dimensions was verified by testing with EFA. These dimensions are "menu", "service", "locality" and "portion". Secondly, Confirmatory Factor Analysis (CFA) was applied to the secondary data set (n2=355). Because the t value of the variables is greater than ±1.96, it was determined that all factors are explained by the relevant variables. Finally, as for that, to determine the measurement invariance, the models were compared by performing configural, metric-weak, scale, solid, and partial invariance analysis with CFA. Negative items should be reverse coded in the analysis. It can be stated that the factorization of these 10 statements ensures reliability and validity and can be used in future research.
In recent years, social media has become one of the most important political marketing tools. The aim of the research is to determine how university students voting have attitudes towards political messages run across several different social media channels. Undergraduate students in Tekirdağ Central Campus of Namik Kemal University are generating the population of the study. In this research, sample was not taken. Questionnaire form was used as data collecting tool. Data obtained through questionnaire forms were presented as descriptive statistics (frequency, percentage, mean, standard deviation). For differences between group means, T-test and One-way ANOVA were implemented. It was concluded that messages with political content in social media had intensifier effects on present preferences of university student voters and had directive effects on indecisive students. Twitter users had more negative attitudes towards messages with political content in social media.
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