Search Results for بهزاد سليم

Abstract

This study presents the impact of digital marketing on customer buying behavior and examines how digital marketing channels, such as social networks, search engines, and emails, influence customers’ purchasing behavior. The main purpose was to investigate the influence of digital marketing on customer's behavior and identify effective platforms for businesses in Soran independence administration to retain customers. The methodology of the study utilizes a quantitative approach through a survey questionnaire to gather data on the impact of digital marketing on customer buying behavior, including variables such as age, gender, income, education level, and online shopping behavior. The data is analyzed using statistical Package for social science (SPSS 26.0) to determine the relationship and effects of these variables on customer behavior. The study collected data from 250 participants who responded to a survey questionnaire distributed online to customers and people of Soran independence administration in several cities, districts, and sub-districts. The sample was appropriate, simple random sampling, and composed of demographic variables, questions about digital marketing, and purchasing behavior. The results of the study show that digital marketing has a significant impact on customer buying behavior, especially among younger and higher-educated people in Soran independence administration; it provides cost-effective and efficient ways for customers to fulfill their needs. However, businesses should be transparent to avoid deceiving customers. Digital marketing has a positive impact on customer satisfaction, but challenges such as timely delivery and over-advertising on social media remain and. Digital marketing has a significant impact on customer buying behavior, influenced by factors like education level, income, and social media usage. Valid factor analysis test supports this conclusion.

Keywords: Digital marketing management, Customers buying behavior, Social media, Instagram, Facebook.

Abstract

This research explores consumer resistance to smartphone innovation in the Erbil/Iraq, uncovering several significant findings. The main goal of the study was to identify the consumer characteristics that influence this resistance and its implications. For smartphone manufacturers, marketers, representatives, and researchers, this study offers a comprehensive understanding of consumer behavior and resistance to technological progress. The results can guide targeted strategies to overcome barriers, improve product development, and increase market share. The study contributes to our understanding of innovation resistance in the unique context of the Erbil/Iraq, highlighting the importance of conducting thorough investigations in similar circumstances.

In light of the findings of the demographic survey, a significant portion of respondents were young people, supporting the widely held belief that young individuals are more likely to adopt new technology. However, the study emphasizes that age is not the sole determinant of resistance to innovation. The diminished impact of income, marital status, and gender on resistance indicates a complex interplay of factors. Conversely, a higher level of education was associated with a greater likelihood of embracing smartphone innovation.

The study delved into various aspects of innovation and revealed that self-efficacy, motivation, complexity, perceived risk, and expectations of a superior product all significantly influenced consumer resistance. Resistance showed a negative correlation with self-efficacy as a psychological trait, suggesting that individuals with higher levels of self-efficacy were less resistant to smartphone innovation. Conversely, higher levels of complexity, perceived risk, expectations of a better product, and motivation were linked to increased resistance, highlighting the crucial role of behavioral and psychological characteristics in shaping consumer attitudes towards innovation. Relative advantage did not appear to have a significant influence, while compatibility and attitudes towards current products were deemed insignificant predictors of resistance. These findings underscore the intricate nature of innovation resistance and demonstrate that socio-demographic traits alone are insufficient as predictors. Consumer resistance is largely shaped by psychological elements such as self-efficacy, motivation, expectations, complexity, and perceived risk.