Empirical Research in Information Systems: 2001–2015

2018 ◽  
Vol 2 (3) ◽  
pp. 237-295
Author(s):  
S. Shuraida ◽  
H. Barki ◽  
A. Luong
Keyword(s):  
Information Systems ◽  
Empirical Research

Information Technology and Diversification

2011 ◽  
pp. 2460-2474 ◽  
Author(s):  
Namchul Shin
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Empirical Research ◽  
Business Performance ◽  
Relative Impact ◽  
Scope Economies ◽  
Business Units ◽  
Strategic Emphasis ◽  
Related Diversification ◽  
The Relationship

While the importance of IT coupled with organizational changes for business performance has been widely discussed in the information systems (IS) literature, there has been little empirical research on the issue. This research examines empirically the relationship between IT and diversification by employing multiple diversification measures. It also examines empirically the relative impact on performance of IT and diversification. Results show that diversification coupled with increased IT spending improves firm performance when its strategic emphasis is on related diversification. The results also show that firms place strategic focus on related diversification when they increase IT spending, and that they require more IT when their strategic emphasis is tilted toward related diversification. The findings imply that by providing a better means of coordination, IT enables scope economies, efficient utilization of business resources and collaboration across individual business units, eventually leveraging the benefits of diversification.

Data Flow Diagram Use to Plan Empirical Research Projects

2009 ◽  
pp. 150-159
Author(s):  
Jens Mende
Keyword(s):  
Information Systems ◽  
Empirical Research ◽  
Data Flow ◽  
Systems Development ◽  
Information Systems Development ◽  
Flow Diagram ◽  
Research Projects ◽  
Systems Planning ◽  
Information And Communication ◽  
Data Flow Diagram

Yourdon and Constantine (1979), De Marco (1979), and Gane and Sarson (1979) introduced the data flow diagram (DFD) more than a quarter of a century ago, as a systems planning tool that is particularly useful in the fields of software engineering and information systems development. But the DFD is not restricted to those fields. Empirical research projects are systems too (which consist of interconnected sources, data, collection processes, files, analysis processes, knowledge, and users), and those systems are similar to information systems. This article reports how the DFD can also be useful in planning empirical research projects. This finding should be advantageous to research planners, individual researchers, research advisors, research supervisors, or research managers. And it should be especially advantageous to research planners in information and communication technology (ICT) because they know DFDs already, so they can get the planning advantages with little or no extra learning effort. This finding was obtained from two research projects. The first was planned without the aid of a DFD and failed. It was then replanned with a DFD and redone in a second project, which succeeded.

Information Systems Leadership Roles

2002 ◽  
pp. 304-319
Author(s):  
Petter Gottschalk
Keyword(s):  
Information Systems ◽  
Empirical Research ◽  
Chief Executive ◽  
Future Research ◽  
Leadership Roles ◽  
It Use ◽  
Change Leader ◽  
Systems Leadership ◽  
The Empirical Analysis

Information systems (IS) leadership roles have undergone fundamental changes over the past decade. Despite increased interest in recent years, little empirical research on IS managers has been done. This article presents results from a survey in Norway. The survey collected data on general leadership roles such as informational role, decisional role, and interpersonal role, as well as on specific IS leadership roles such as chief architect, change leader, product developer, technology provocateur, coach, and chief operating strategist. The empirical analysis indicates that strategic responsibility as well as network stage of growth influence the extent of informational role, while the extent to which the chief executive uses IT influences the extent of decisional role, and the extent to which subordinates use IT influence the extent of interpersonal role. IS managers with greater operating responsibility will be chief architects. The role of a change leader is positively influenced by the number of years in IT, the extent of IT use, the extent of strategic responsibility, and the organization’s revenue, while it is negatively influenced by the number of years in the current position. Product developer can be predicted by strategic responsibility and chief executive’s IT use, while technology provocateur can be predicted by the extent of IT use. Coach can be predicted by the extent of subordinates’ IT use, and chief operating strategist can be predicted by the extent of strategic responsibility. Although several significant predictors of IS leadership roles were identified in this research, the search for more significant explanations should continue in future research.

Empirical Research in Information Systems: The Practice of Relevance

MIS Quarterly ◽  
1999 ◽  
Vol 23 (1) ◽  
pp. 3 ◽  
Author(s):  
Izak Benbasat ◽  
Robert W. Zmud
Keyword(s):  
Information Systems ◽  
Empirical Research

Phenomena of Adoption of Wireless Handheld Devices

2013 ◽  
pp. 20-43
Author(s):  
Abdul Hafeez-Baig ◽  
Raj Gururajan
Keyword(s):  
Information Systems ◽  
Empirical Research ◽  
Healthcare Professionals ◽  
Handheld Devices ◽  
Wireless Technology ◽  
Wireless Devices ◽  
Body Of Knowledge ◽  
Literature Reviews ◽  
Adoption Model ◽  
Operational Aspects

There has been little empirical research into the adoption of wireless technology in healthcare. Although there is a growing interest dedicated to the analysis of technical and operational aspects of wireless devices, there is little research into factors that would lead to the successful adoption of wireless technology in healthcare. Thorough literature reviews were conducted to synthesise adoption theories in the domain of information systems, and shortcomings in the existing literature were highlighted in the context of wireless technology in healthcare. Syntheses demonstrated that there is a need either to expand the existing body of knowledge, or develop new frameworks to accommodate adoption of wireless technology in healthcare. This study has combined the most prominent variables for adoption, identified in the literature, and data collected through healthcare professionals have, to suggest a new adoption model.

Empirical Research in Information Systems: 2001–2015

2018 ◽  
Author(s):  
S. Shuraida ◽  
H. Barki ◽  
A. Luong
Keyword(s):  
Information Systems ◽  
Empirical Research
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