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Cybersecurity Aids Financial Institutions Performance
Published in Mohammed El Amine Abdelli, Wissem Ajili-Ben Youssef, Uğur Özgöker, Imen Ben Slimene, Big Data for Entrepreneurship and Sustainable Development, 2021
Abdalmuttaleb Al-Sartawi, Magdalena Karolak, Anjum Razzaque
Several empirical studies were conducted on Information Security (IS). A bunch of them used Technology Acceptance Models (TAM), such as [52]. They provided evidence that it does describe a large portion of end-users and security-related behaviors [36]. The TAM that is developed by [52] approximates individuals’ behaviors by two main factors: (1) perceived ease of use, which is defined as how free one can be of efforts, and (2) perceived usefulness, which is the extent of benefit gained from the use of technology or system. In addition to that, the model takes into consideration a set of different variables as mediators. For example, firm size, trust, IT budget, gender, and others influence end-users’ recognition and actions towards cybersecurity [11, 14]. The models that analyze the users’ behaviors consist of many interaction effects and formal latent variables. Therefore, the Partial Least Squares (PLS) analysis is the most appropriate approach to explain the interactions between complex constructs and test the relationship between latent effects [37].
Prefabricated housing firms in Japan and Sweden
Published in Jack S. Goulding, Farzad Pour Rahimian, Offsite Production and Manufacturing for Innovative Construction, 2019
Jonsson and Rudberg (2014) used this model to classify a set of barriers and drivers for prefabricated construction identified in extant literature. As the model proved useful in this related context, it was adopted here, with some extensions to improve its utility in relation to understanding firm strategy and value creation. These extensions involve the use of a social-psychological perspective, built on the Technology Acceptance Model (TAM) (Davis, 1989) in order to enhance the understanding of strategy. The original TAM conceptualisation asks individuals to assess a given technology against two theoretical components: Perceived Usefulness (PU) and Perceived Ease of Use (PEoU). The PU refers to a technology’s ability to enhance job performance; whereas, the PEoU refers to whether the technology is free of effort in use (Venkatesh and Bala, 2008). When applied in its original form, the TAM is an effective and simple-to-administer model for exploring technology adoption influences, though one which lacks specificity to any particular technology’s context (Bagozzi, 2007). In the current context, TAM’s two overarching theoretical constructs can help explore the performance dimensions of firm strategy, as indicated in Table 17.2.
HBIM acceptance among carpenters working with heritage buildings
Published in Jan Karlshøj, Raimar Scherer, eWork and eBusiness in Architecture, Engineering and Construction, 2018
S.A. Namork, C. Nordahl-Rolfsen
This research is based on the Technology Acceptance Model (TAM), which posits to predict individuals’ intention to use new information technology. The TAM-theory is based on the Theory of Reasoned Action (TRA) developed by Fishbein and Ajzen (Fishbein & Ajzen, 1975). The TRA aims to explain a persons’ decisions and acceptance in a general manner. The TAM is an IS theory which suggests that the perceived ease of use and perceived usefulness of a new technology will influence the system acceptance, behavioral intention of use, and actual system use (Davis, 1989). According to Davis the usefulness can be defined to the “…extent they believe it will help them perform their job better.” (Davis, 1989, p. 320). Even though the user finds the new system to be useful they may “[…] believe that the system is too hard to use and that the performance benefits of usage are outweighed by the effort of using the application” (Davis, 1989, p. 320), hence the assessment of ease of use. By analyzing data on individuals’ stated perception of ease of use and usefulness, the likelihood of continued use can be elucidated.
Exploring the User Acceptance of Urban Air Mobility: Extending the Technology Acceptance Model with Trust and Service Quality Factors
Published in International Journal of Human–Computer Interaction, 2023
Young Woo Kim, Cherin Lim, Yong Gu Ji
In the original TAM, the actual use of information technology can be explained with the following four constructs: behavioral intention, attitude toward using, perceived usefulness, and perceived ease of use (Davis et al., 1989). Behavioral intention refers to the degree of the psychological state of the individual toward using specific services and systems. In the TAM, behavioral intention is influenced by one’s attitude toward system use and perceived usefulness. Attitude is defined as an individual’s positive or negative feelings about performing the target behavior and is directly affected by two constructs: perceived usefulness and ease of use. Perceived usefulness refers to “the degree to which a person believes that using a particular system would enhance his or her job performance” (Davis et al., 1989). Perceived ease of use is defined as “the degree to which a person believes that using a particular system would be free of effort” (Davis et al., 1989). From the TAM, we proposed the following hypotheses:
Does user satisfaction affect employee well-being? An exploratory investigation at the onward and upward stage of enterprise system experience cycle
Published in Enterprise Information Systems, 2023
Linying Dong, Sameh Al Natour, Ugonna Omeziri, Ozgur Turetken
Perceived usefulness, ‘the degree to which a person believes that using a particular system would enhance his or her job performance’ (Davis 1989, 320), represents a type of extrinsic motivation and captures utilitarian values (e.g., performance) of an information system. The construct is arguably the most studied construct in research focused on the adoption and continued use of various types of information systems (Hsieh and Wang 2007; Kakar 2017; Rezvani, Dong, and Khosravi 2017; Venkatesh et al. 2003). Perceived usefulness is a salient antecedent of user attitude and intention to use in technology acceptance model (TAM) (Davis 1989). It has also been used in the post-adoption models as a significant predictor of user satisfaction (Bhattacherjee 2001). While it has been found a significant factor in the initial implementation stage, we argue that perceived usefulness continues to be a salient driver for system success at the onward and upward stage since even though an enterprise system is stabilised at this stage, users are constantly challenged by system defects and ongoing reengineering of business processes (Ha and Ahn 2014). In fact, many companies expand and integrate the implemented enterprise system with other processes or legacy systems after the shakedown phase (Ha and Ahn 2014; Tsai and Pai 2014). Consequently, it is even more important that users believe in utilitarian system benefits at the onward and upward stage.
Developing and Validating a Model for Assessing Autonomous Vehicles Acceptance
Published in International Journal of Human–Computer Interaction, 2023
Perceived ease of use is one of the variables in TAM, which refers to “the degree to which a person believes that using a particular system would be free of effort” (Davis, 1989). When individuals become aware of a system is easy to use, they are more likely to have a positive attitude toward using the system. Conversely, although some systems may be useful, difficulty in operation would make people have a negative attitude towards the system, or even give up using the system. PEOU has a positive influence on the attitude and behavioural intention of adopting new technology such as electronic learning systems (Salloum et al., 2019), 3D printing systems (Wang et al., 2016), mobile payments (Setiawan & Setyawati, 2020), and trading social media (Hansen et al., 2018). Previous studies have shown that perceived ease of use is a direct predictor of acceptance intentions (Acheampong & Cugurullo, 2019).