Adding value to information systems

Abstract

In information systems, data are processed in various stages, and at every stage value is added in order to make the data useful for end users. Experts from different fields can assist these value-adding processes in various ways. This article discusses a theoretical model for determination of value-added processes in information systems. In this model, vital elements of every information system, that is, its goals, users, services and data, form a three-dimensional space. Each of these dimensions and the possible processes to add value in each dimension are discussed.

Faculty Members' Behavior towards Technology Acceptance and its Impact on a Value-Added Configuration

“…The modifications to the model by Scholl et al (2014) and Scholl (2015) enable its use to evaluate internet technology. Accordingly, the value-added items are based on Taylor's (1968) model, as modified by Eisenberg and Dirks (2008) and used by (Kuo et al, 2009), with some items adapted from Fattahi and Afshar (2006),), and Nabavi and Jamali (2015).…”

“…This model is processoriented, whereas Taylor's model focuses on user needs, which is better suited for information and document management (Nabavi and Jamali, 2015), and evaluating how the objectives of information systems satisfy user needs (Yoo and Park, 2018), and it cannot be applied for customization of information management processes based on user preferences (Nabavi and Jamali, 2015). Nabavi and Jamali (2015) argue that existing value-added models are not comprehensive and do not distinguish between the various aspects of value added. Moreover, Palmquist (2005) contends that the value model has not been empirically tested.…”

“…Some scholars have investigated the effects of IT usage on the value added from information systems (Sandler, 2010). Nabavi and Jamali (2015) consider the value added from information systems to be solely the outcome of how a user utilizes the system: that is, value added derives from manipulating data/information or refining system algorithms. Many researchers have investigated the impact of an IT application's acceptance (as a measure of behavior towards using computer systems) on the perceived value.…”

Information Technology as a catalyst for the professionalisation of academic administrators: A case study of a health sciences faculty

“…The processes listed above were the key drivers that necessitated the creation of a new professional space for academic administration, premised on data knowledge and data work (Selwyn, Henderson, and Chao 2018). According to Nabavi and Jamali (2015), researchers acknowledge that limited attention has been assigned to the functionalities of academic administrators, despite a growing dependency on ICT and an increased demand for data production, processing, and storage. Harrigan and Dalmia (1991) posit that the creation of a knowledge economy requires a different type of workforce, one that can rightfully be called knowledge workers.…”