جستجوی مقالات مرتبط با کلیدواژه « تکرار خرید » در نشریات گروه « مدیریت »

Pricing strategy has become an important and necessary tool for business management to improve and enhance the organization's competitive ability. For this reason, it seems important to investigate the most successful ride-share platform in the country in terms of market share, i.e., Snapp, in terms of pricing and its impact on passenger satisfaction in order to develop and improve it in the country. These platforms use dynamic pricing to improve their pricing. To measure passengers' satisfaction with this platform, the relationship between dynamic pricing and perceived justice by passengers and its effect on people's satisfaction with service recovery were investigated. Also, the variables of trust, repeat purchases and WOM advertisements and their relationship with the satisfaction of passengers from service recovery were investigated. Based on this, this research is a survey-type descriptive research in terms of practical purpose, in terms of nature and method. To check the model, a nation-wide survey was conducted among Snapp passengers, and a Likert scale was used to design the questionnaire. In this research, the sampling method is based on random sampling, and according to the unlimited size of the population, and according to Cochran's formula and using Morgan's table, the sample number is estimated at 384 people. PLS (Partial Least Squares) method was used to test the hypotheses and finally it was found that perceived dynamic pricing has a relationship with perceived justice.

The present study aims to provide a native model of online fashion shopping model with a hybrid approach. The method of this study is a mixed method and consists of two qualitative and quantitative parts. In the qualitative section, using the underlying theory to present a model in relation to online shopping on the basis of the study and classification of theoretical literature, and in the quantitative section, we sought a native model of professional online shopping. The present research is a survey, descriptive and correlational type that has been generalized by the statistical community to the online consumer shopping community. The data collection tool was deep in the qualitative stage of the interview, and in the quantitative part of the questionnaire. The statistical population of this study is in the qualitative section of the university professors and internet retailers, and in the small part, consumers. After the interviews, we encoded and presented a qualitative initial model and tested the assumptions. The sampling method was qualitative, non-random, purposeful and available in a quantitative section and the statistical sample consisted of 321 people. In the qualitative section with Maxqda software, using open coding, axial and selective coding and determining the central category, we have analyzed the descriptive and inferential statistics in a small section. The SPSS version 22 and the Smart PLS version 2 bundles were used to analyze the data. The results indicate the impact of some aspects of online shopping such as (price and shopping environment and reference groups) on online shopping and the impact of some aspects of online shopping such as (price and reference groups and pleasure incentives) on brand equity Is. Online shopping also influences the advice to others, and the brand's value also causes repeat shopping.