The innovative nature of e-mentoring along with its ongoing adoption process provided the reasons for conducting an innovation–adoption study on e-mentoring. A sample of 234 mentors that have been employed by Ergani Center, a well respected Greek mentoring organization, were asked to identify with the use of an online questionnaire the factors that influence the adoption of e-mentoring. Gender,...

abstraCt An integrative model explaining intentions to use an information technology is proposed. The primary objective is to obtain a clearer picture of how intentions are formed, and draws on previous research such as the technology acceptance model (Davis, Bagozzi, & Warshaw, 1989) and the decomposed theory of planned behavior (Taylor & Todd, 1995a). The conceptual model was tested using que...

The complete model included Innovativeness as the strategic orientation of the firm, firm size, industry, and business strategy (See Figure 2). For a complete description of all the variables measured in this study the reader is referred to an earlier research brief. Results The anticipated relationships were supported by our analyses. Business strategy was not found to impact the relationship ...

This study explores the link between financial performance and the formal strategic planning process, planning flexibility, and innovativeness of 448 firms in a multi-industry sample. The results suggest that firms’ formal strategic planning processes and planning flexibility are positively associated, and each is positively related to innovativeness. In addition, innovativeness fully mediates ...

Noa Aharony is Senior Lecturer in the Department of Information Science at Bar-Ilan University; e-mail: noa.aharony@ biu.ac.il. © 2014 Noa Aharony, Attribution-NonCommercial (http://creativecommons.org/ licenses/by-nc/3.0/) CC BY-NC This study which is based on the Technological Acceptance Model (TAM), seeks to explore whether librarians and LIS students are familiar with the newest technologic...

This study developed unified theory of acceptance and use technology (UTAUT) to examine the predictive factors mobile marketing adoption. Variables such as personal innovativeness, hedonic motivations, performance expectancy, mobility, social influence were studied for acceptance. The predicted artificial neural networks (ANN) approach was applied evaluate data, results data used comparison wit...

The rapid development of smart technologies and data analytics empowers most industries to evolve their systems introduce innovative applications. Consequently, metering technology, an internet things-based application service, is diffusing rapidly in the energy sector. Regardless its associated benefits, meters continue struggle from consumers’ acceptance. To promote meters’ successful deploym...