Evolution of Information Systems Research

نویسندگان

  • Ting-Peng Liang
  • Deng-Neng Chen
چکیده

The field of information systems (IS) has evolved along with the development of information technology and applications over the past twenty years. It is important to understand how the research issues have evolved in the past and what are the driving force underlying the evolution. An excellent area for exploring these issues can be found in research articles published in IS-related journals. We surveyed 3841 papers published between 1980 and 2001 in eight major IS journals. The papers were categorized according to their research themes and the theories they adopted. We found an increase in human-related research and a decline in systems-related research. Two major trends are identified: one driven by system design issues (1980-1993) and the other driven by human factors and system applications (1993-2001). Two underlying forces behind the research have been new technology development and organizational needs. Our examination of the theories used in the published papers revealed a substantial increase in human-related theories such as the technology acceptance model (TAM) and social cognitive theory (SCT) but a lack of attention to such systems theories as media richness theory and task-technology fit (TTF).

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

SIMULATING CONTINUOUS FUZZY SYSTEMS: I

In previous studies we first concentrated on utilizing crisp simulationto produce discrete event fuzzy systems simulations. Then we extendedthis research to the simulation of continuous fuzzy systems models. In this paperwe continue our study of continuous fuzzy systems using crisp continuoussimulation. Consider a crisp continuous system whose evolution depends ondifferential equations. Such a ...

متن کامل

Image Backlight Compensation Using Recurrent Functional Neural Fuzzy Networks Based on Modified Differential Evolution

In this study, an image backlight compensation method using adaptive luminance modification is proposed for efficiently obtaining clear images.The proposed method combines the fuzzy C-means clustering method, a recurrent functional neural fuzzy network (RFNFN), and a modified differential evolution.The proposed RFNFN is based on the two backlight factors that can accurately detect the compensat...

متن کامل

Increasing the Accuracy of Recommender Systems Using the Combination of K-Means and Differential Evolution Algorithms

Recommender systems are the systems that try to make recommendations to each user based on performance, personal tastes, user behaviors, and the context that match their personal preferences and help them in the decision-making process. One of the most important subjects regarding these systems is to increase the system accuracy which means how much the recommendations are close to the user int...

متن کامل

Introduction to Schramm-Loewner evolution and its application to critical systems

In this short review we look at recent advances in Schramm-Loewner Evolution (SLE) theory and its application to critical phenomena. The application of SLE goes beyond critical systems to other time dependent, scale invariant phenomena such as turbulence, sand-piles and watersheds. Through the use of SLE, the evolution of conformally invariant paths on the complex plane can be followed; hence a...

متن کامل

The complexities and evolution of the concepts of information and information behavior

Background and Aim: This paper reviews the two major concepts in the field of information behavior (IB), namely "information" and "information seeking." Method: Adocumentary research method and review of the literature were used. Results: The word information is the smallest particle and the most essential element in the area of information behavior. The second one is the phrase "information be...

متن کامل

Evolution of Information and Complexity in an Ever-Expanding Universe

Using the usual definitions of information and entropy in quantum gravity and statistical mechanics and the existing views about the relation between information and complexity, we examine the evolution of complexity in an ever expanding universe.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003