The theory of reasoned action is one of the most widely used behavioral theories for explaining how individuals form intentions before performing a specific behavior. The theory argues that human behavior is usually not random; rather, it is guided by rational thinking, personal evaluation, and social influence. According to the theory of reasoned action, an individual’s behavioral intention is mainly shaped by two key factors: attitude toward the behavior and subjective norms. Attitude refers to whether a person evaluates a behavior positively or negatively, while subjective norms refer to the perceived social pressure to perform or not perform that behavior.
In technology adoption research, the theory of reasoned action provides a strong foundation for understanding why users decide to accept or reject a system. If users believe that a technology is useful, easy to operate, and compatible with their needs, they are more likely to develop a favorable attitude toward using it. This favorable attitude can then strengthen their intention to use the technology. Therefore, when perceived ease of use is examined through the theory of reasoned action, it can be understood as an important belief that influences user attitude and, ultimately, behavioral intention.
The theory of reasoned action and theory of planned behavior are often discussed together because both explain the psychological process behind intention formation. However, the theory of planned behavior extends the theory of reasoned action by adding perceived behavioral control. This additional construct explains whether individuals feel capable of performing a behavior based on available skills, resources, opportunities, and possible barriers. In the context of technology use, this means that users are not only influenced by attitude and social pressure, but also by whether they believe they can easily use the system.
Perceived ease of use is a fundamental construct of the Technology Acceptance Model, commonly known as TAM. It refers to a user’s internal assessment of the amount of effort required to use a particular system or technology. Davis (1989) originally defined perceived ease of use as “the degree to which a person believes that using a particular system would be free of effort.” This definition remains highly influential because it explains a simple but important idea: users are more likely to accept a system when they believe it will be easy to understand, learn, and operate.
In broader terms, perceived ease of use represents the extent to which an individual expects to face little or no physical, mental, or psychological difficulty when adopting a technology. A system that appears simple, clear, and user-friendly reduces the effort required from users and increases their confidence in using it. Balakrishnan et al. (2022) describe perceived ease of use as the extent to which users believe that a technology can make their lives easier by reducing effort. Similarly, Basuki et al. (2022) explain that perceived ease of use reflects a user’s confidence in understanding and operating a system without unnecessary difficulty.
Recent research has adapted the definition of perceived ease of use to different digital environments. In the context of social media, Al-Rahmi et al. (2018) define perceived ease of use as the extent to which consumers perceive social media platforms as simple and straightforward to use. This definition is especially relevant for social networking sites because users are more likely to engage with platforms that are easy to navigate, quick to understand, and convenient for communication.
In entertainment-based technologies, perceived ease of use is often associated with the effort required to interact with digital systems such as video games and gamified applications. Bassiouni et al. (2019) describe it as the extent to which users perceive gamified technology as effortless. In the hospitality sector, Zhang et al. (2014) explain perceived ease of use as the ease with which users can understand and operate information technology systems used in restaurants. Similarly, in the context of artificial intelligence and speech recognition, Fernandes and Oliveira (2021) define perceived ease of use as the degree to which customers believe they can easily use smart technologies such as speech recognition systems.
These examples show that perceived ease of use is a flexible and context-sensitive concept. Although the basic meaning remains the same, its application changes depending on the type of technology, user group, and digital environment. Whether the system is a social media platform, an online advertising tool, a restaurant technology, or an AI-based service, users are more likely to accept it when they perceive it as simple, understandable, and low-effort.
Perceived ease of use is closely related to usability, clarity, learning ability, and user confidence. It is not limited to the basic idea that a system is easy to use. Instead, it also reflects whether users can quickly learn the system, adapt to its features, and perform tasks without confusion. Setianto et al. (2025) explain that perceived ease of use is reflected in how clear, understandable, and easy to learn a technology is. Carlos Martins Rodrigues Pinho and Soares (2011) further argue that perceived ease of use includes a user’s ability to quickly gain proficiency and adapt to networking platforms.
Usability is a key indicator of perceived ease of use. When a service is highly usable, users are less likely to feel anxious, confused, or overwhelmed by complexity. Lorenzo‐Romero et al. (2011) suggest that highly usable services reduce user concerns and make the technology appear less complicated. In professional and digital environments, users are more willing to adopt a technology when they believe they can understand it without needing major training or advanced technical skills.
Therefore, perceived ease of use is an important factor in determining user attitudes toward technology. Systems that are simple, intuitive, and less complex are more likely to receive positive evaluations from users. In contrast, systems that appear difficult, confusing, or time-consuming may create resistance, even when they offer useful features. This makes perceived ease of use a crucial predictor of technology acceptance and continued system usage.
Perceived ease of use captures a practical and intuitive idea: people are more willing to try a technology when they believe it will not be difficult or stressful to use. When users expect that learning or operating a system will be straightforward, with no steep learning curve and no excessive physical or mental effort, they are more likely to engage with it. Previous studies support this relationship by showing that perceived ease of use positively influences user acceptance, attitude, and behavioral intention (Basuki et al., 2022; Berlianto et al., 2024; Carlos Martins Rodrigues Pinho & Soares, 2011; Geddam et al., 2024; Hussein et al., 2022; Ranaweera & Prabhu, 2003).
Within the theory of reasoned action, perceived ease of use can be understood as a behavioral belief that shapes attitude toward using a system. The theory of reasoned action explains that people form attitudes based on their beliefs about the expected outcomes of a behavior. If users believe that a technology is easy to use, saves effort, and does not create unnecessary difficulty, they are more likely to evaluate the technology positively. This positive attitude can then increase their intention to use the system.
The theory of reasoned action and theory of planned behavior both help explain why perceived ease of use affects technology adoption. TRA focuses on attitude and subjective norms, while TPB adds perceived behavioral control. This means that TPB considers not only whether users like a technology or feel social pressure to use it, but also whether they believe they have the ability, resources, and opportunity to use it effectively. In this way, TPB provides a broader explanation of ease of use because it includes the user’s sense of control over the behavior.
In the context of perceived ease of use, perceived behavioral control is especially important. A user may consider a technology useful, but if they believe it is difficult to operate or requires skills they do not have, their intention to use it may decline. Therefore, while TRA explains perceived ease of use mainly through attitude formation, TPB explains it through both attitude and perceived control. This distinction makes the theory of reasoned action and theory of planned behavior valuable frameworks for understanding user acceptance of digital technologies.
Perceived ease of use also influences perceived usefulness. A system that is easy to operate often saves time and reduces effort, making users more likely to view it as beneficial. Carlos Martins Rodrigues Pinho and Soares (2011) and Alismaiel et al. (2022) suggest that user-friendly systems can enhance perceived usefulness because users are able to complete tasks more efficiently. Therefore, perceived ease of use may influence technology adoption both directly and indirectly by improving user attitude, perceived usefulness, and behavioral intention.
In summary, perceived ease of use is a key belief in technology acceptance research. Through the theory of reasoned action, it explains how beliefs about simplicity influence attitude. Through the theory of planned behavior, it also explains how perceived ability and control affect intention. As a result, technologies that are perceived as simple, clear, and easy to use are more likely to generate positive attitudes and stronger intentions to adopt them.
Research consistently shows a positive relationship between perceived ease of use and attitude toward using social networking sites. When users find a social networking platform easy to understand, navigate, and operate, they are more likely to develop a positive attitude toward that platform. This relationship has been supported in several studies examining social media and online technology adoption (Carlos Martins Rodrigues Pinho & Soares, 2011; Lorenzo‐Romero et al., 2011; Mukherjee & Banerjee, 2019).
In the context of social networking sites, perceived ease of use helps reduce user effort and uncertainty. A clear interface, simple navigation system, and accessible features allow users to interact with the platform more comfortably. When users do not have to spend excessive time learning how to use a platform, they are more likely to perceive it positively. This positive perception can strengthen their attitude toward using social networking sites and increase their likelihood of continued engagement.
Perceived ease of use is also important in social networking advertising. Social networking advertising depends on users’ ability to easily access, understand, and interact with advertising content. If advertisements are difficult to locate, confusing to interpret, or disruptive to the user experience, users may develop negative attitudes toward them. However, when advertising content is easy to view, relevant, and simple to engage with, users are more likely to respond positively.
The use of social media platforms can influence consumers’ perceptions of online advertising (Berlianto et al., 2024; Gabriel & Park, 2024; Zhao & Wang, 2020). Marketers use social networking sites to promote products and brands by creating accessible and interactive advertising experiences. When these platforms provide ease of use, users can connect more easily with brands, products, and promotional messages. This improves their attitude not only toward the platform itself but also toward the advertising content presented through it.
Previous research indicates that perceived ease of use positively affects attitudes toward both social networking sites and social networking advertising (Mukherjee & Banerjee, 2019). Similarly, Gabriel and Park (2024) and Setianto et al. (2025) suggest that consumer attitudes improve when advertising content is easy to access and requires minimal effort to navigate. Therefore, perceived ease of use can be considered an important factor in shaping user attitudes toward digital platforms and advertising activities.
The theoretical relationship between perceived ease of use and attitude can be explained through the theory of reasoned action and theory of planned behavior. According to the theory of reasoned action, users form attitudes based on their beliefs about a particular behavior. When users believe that a social networking site is easy to use, understandable, and convenient, they are likely to develop a favorable attitude toward using it. This favorable attitude can then influence their intention to continue using the platform.
The theory of planned behavior extends this explanation by adding perceived behavioral control. According to TPB, users are more likely to perform a behavior when they believe they have the ability, resources, and opportunity to do so. In the case of social networking sites, a user-friendly interface can increase perceived control because users feel capable of operating the platform without difficulty. If a platform appears complicated, users may feel less control, which can reduce their behavioral intention even if the platform seems useful or enjoyable.
Perceived ease of use therefore operates as an important belief within both TRA and TPB. In the theory of reasoned action, it influences attitude by shaping users’ evaluations of the technology. In the theory of planned behavior, it also contributes to perceived behavioral control by affecting users’ confidence in their ability to use the system. This makes perceived ease of use a strong theoretical predictor of attitude and intention in technology adoption research.
In social networking contexts, users are more likely to adopt platforms that are simple, familiar, and easy to navigate. A platform that reduces effort and increases user confidence can create a positive attitude toward social networking site usage. Similarly, social networking advertising becomes more effective when users can easily understand and interact with advertising content. Therefore, perceived ease of use supports both platform acceptance and advertising acceptance.
Empirical studies support this theoretical relationship. Perceived ease of use has been shown to positively shape attitude and perceived usefulness, creating a cascading effect that strengthens purchase intention within integrated TAM-TPB frameworks (Ha et al., 2019). Bashir et al. (2022) also reinforce this relationship by showing that ease of use directly influences both attitude formation and behavioral intention to use social networking sites.
Overall, the theory of reasoned action and theory of planned behavior provide a strong psychological foundation for understanding the role of perceived ease of use in technology acceptance. Users are more likely to develop positive attitudes and stronger behavioral intentions when they believe that a technology is simple, controllable, and effortless to use. Therefore, perceived ease of use can be considered a key behavioral belief that shapes attitude toward using social networking sites and social networking advertising.
Based on the above theoretical and empirical support, perceived ease of use is expected to have a positive influence on users’ attitudes toward social networking sites and social networking advertising. When users perceive these platforms and advertising systems as easy to use, they are more likely to form favorable attitudes and stronger intentions to engage with them.
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