عوامل تعیین کننده پذیرش کاربر نهایی مستقل حرفه ای در محیط سیستم برنامه ریزی منابع سازمانی
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|1169||2009||7 صفحه PDF||سفارش دهید||5220 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : International Journal of Information Management, Volume 29, Issue 2, April 2009, Pages 138–144
To fully exploit the capabilities of complex technologies, businesses must deliberately foster technology acceptance by end users. This deliberate activity must recognize the complexity of factors that influence individuals’ perceptions, intentions, and usage of information technology. This study surveyed 66 professionally autonomous end users and gathered information on their perceptions related to several technology acceptance factors for a newly installed enterprise resource planning (ERP) system component. Study analyses focused on end user perceptions of ERP component usefulness, their intention to use the system, and self-reported usage of a system component. Valuable insights into the perceptions of professional end users toward a component of a complex technology were gained. Recommendations based upon the results of this study include: (a) clearly describe, early in the implementation process, an overall picture of the ERP system flow and visually show end users how the components they use “fit” into the whole system; (b) convert ERP-related “tech talk” to common end user language by either clear explanation of unique terms or associations of new terms to ones commonly understood by end users, and (c) provide adequate resources (financial, physical, human, etc.) to ensure that end users have access to timely support.
Technology's ever-present grasp continues to influence individuals’ and societies’ interactions, just as it has for decades. For businesses, the ever-expanding amount of information that has to be managed leads to an increase in system integration and complexity. This leads ultimately to a redefinition of skills required of proficient end users and the variables that influence user acceptance of information systems. One of the issues in information management is getting the right information to the right person at the right time and in a usable form (Robertson, 2005). Without technology acceptance users might only use the system superficially to enter/store data but not to explore its full potential; i.e. to analyse the information to gain a competitive advantage. The pervasive use of technology, particularly in business contexts, and the need for individuals to accept and use it, continues to fuel research of technology acceptance. Moon and Kim (2001, p. 1) posits that technology acceptance varies with technology, target users, and context. Prediction of system use in mandatory adoption contexts of complex systems that span multiple functional units and organizations, such as enterprise resource planning (ERP) system implementations, is an important issue in technology acceptance. Equally important to the prediction of technology usage is the question of can we discover what perceptions end users have about the usefulness of specific systems and their components. Professionally autonomous (Lin, 2004, p. 14) end users, i.e. individuals possessing considerable latitude in both how they allocate their work time and what technology they use to complete work assignments, represent a significant number of complex business technology end users. Specifically, academic end users have significant professional autonomy which translates to a spectrum of technology usage levels and unique perspectives regarding acceptance of complex technology.
نتیجه گیری انگلیسی
Christensen (1998) investigated the connection between positive attitudes toward IT as precursors to effective technology use, concluding that additional verification of this relationship could significantly impact the way individuals are trained to use technology. To fully exploit the capabilities of complex technologies, businesses must deliberately foster technology acceptance by end users. This encouragement activity must recognize the complexity of factors that influence individuals’ intentions to use IT. In this study, a survey of rural-Utah higher education faculty perceptions of the usefulness of an ERP component and their reported intention and usage of this system were presented. By analyzing the user perceptions in the current study, knowledge of correlations between latent and manifest variables and their predictive strengths provided valuable insights into the perceptions of professionally autonomous end users toward complex technology. Better understanding of determinants of user acceptance and usage will help design organizational strategies to increase system usage. The research reported in this article reaffirmed previously validated measurement instruments for technology acceptance, as well as considered a spectrum of models relevant to mandatory implementation settings. Specifically, the results of this study empirically support most of the constructs of the extended technology acceptance model, TAM2, focusing on perceived usefulness (Venkatesh & Davis, 2000). An ERP system provides a means to collect, store and disseminate information more efficiently and effectively, but more and more of today's companies discover that to gain a competitive advantage managing information is not enough; the information needs to be accurate and easily accessible to managers for analysis. Our study supported that view by showing that information quality and job relevance of the information provided has a direct influence on the perceived usefulness of the overall information system. State and federally funded public institutions providing education services can benefit from the research by noting the factors that influence participants’ perceptions of technology usefulness, which ultimately foster use of complex systems. In this study, the variables that significantly influenced participants’ perceptions of system usefulness were (a) job relevance, (b) output quality, and (c) perceived ease of use. System usage, however, appears to be driven by factors other than those included in the current research or may be more appropriately measured by scales other than time.