scholarly journals Most Popular Theories in Information Systems Research

2016 ◽  
Author(s):  
Patricio Ramírez-Correa
Keyword(s):  
Information Systems ◽  
Dynamic Capabilities ◽  
Cocitation Analysis ◽  
Systems Research ◽  
Information Systems Research ◽  
Capabilities Theory

The objective of this work is to identify the theories most widely applied in information systems research. In order to achieve this purpose, an exploration of literature 2015 is realized, based on cocitation analysis. Results indicate that Dynamic Capabilities Theory appears as main in the discussion of information systems research.

Research Trends in Information Systems From the Management Discipline Based on Co-Occurrence Analysis

2021 ◽  
pp. 565-581
Author(s):  
Beatriz Forés ◽  
Rafael Lapiedra ◽  
José-María Fernández-Yáñez
Keyword(s):  
Information Systems ◽  
Scientific Community ◽  
Dynamic Capabilities ◽  
Business Practice ◽  
Research Trends ◽  
Systems Research ◽  
Strategic Process ◽  
Information Systems Research ◽  
The Subject ◽  
The Impact

There is a generalised consensus on the notable role that information systems and technologies (IS/IT) play in organisational performance. This evidence has been widely explored and recognised by both business practice and academia; as a result, the literature on information systems has acquired considerable relevance in the field of business administration due to its major role in the strategic process. In order to observe the impact of information systems research on the scientific community, we carried out a bibliometric study based on an analysis of the concurrences of the key words used in publications on the subject. This type of quantitative analysis can reveal the structure that supports a certain topic in a discipline and its evolution, as well as the most relevant related concepts. Specifically, six theoretical clusters were observed and defined: 1) data analytics, 2) electronic intra and inter-organisational exchanges, 3) dynamic capabilities, 4) geographical agglomerations, sustainability and tourism, 5) ERP, and 6) quality.

A text mining-based review of the literature on dynamic capabilities perspective in information systems research

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mojtaba Talafidaryani
Keyword(s):  
Information Systems ◽  
Topic Modeling ◽  
Dynamic Capabilities ◽  
Latent Dirichlet Allocation ◽  
Content Type ◽  
Systems Research ◽  
Information Systems Research ◽  
Holistic Understanding ◽  
Prior Literature ◽  
Dynamic Capabilities Perspective

Purpose While the dynamic capabilities perspective is the most cited strategic theory in the information systems field of research, little effort has been made to review and integrate the associate literature of this perspective in the field. Accordingly, this paper aims to systematically analyze the information systems literature on dynamic capabilities and provide a holistic understanding of the topical composition and trend of dynamic capabilities studies in information systems research. Design/methodology/approach Using latent Dirichlet allocation as the text analysis algorithm, the author conducted a topic modeling of the dynamic capabilities corpus in the information systems field of research to quantitatively review, summarize and classify the prior literature. The review covered 191 articles published on dynamic capabilities between 1998 and 2018 in pioneering information systems journals and conference proceedings. Findings In accordance with the topic modeling results, the topical composition of the dynamic capabilities corpus in information systems research dominantly includes seven themes titled T1. Information systems value, T2. Information systems change, T3. Digitalization, T4. Information systems agility, T5. Big data, T6. Information systems innovation and T7. Information systems alignment. Also, the overall and topical trend of dynamic capabilities studies in the information systems field of research were revealed. The trends indicated that the investigated domain and its prominent sub-domains have generally had positive productivity over the past years. Originality/value The current study contributes to the domain by developing knowledge and improving literature on dynamic capabilities in information systems research, discovering the main topics of interest for information systems researchers to deploying the dynamic capabilities perspective in their studies, and prioritizing the future information systems research on dynamic capabilities based on the identified trends of topics.

A Bridge Too Far?

2018 ◽  
Author(s):  
Charlotte P. Lee ◽  
Kjeld Schmidt
Keyword(s):  
Information Systems ◽  
Science And Technology Studies ◽  
Large Scale ◽  
Cooperative Work ◽  
Computer Supported Cooperative Work ◽  
Practical Action ◽  
Systems Research ◽  
Information Infrastructures ◽  
Information Systems Research ◽  
Critical Investigation

The study of computing infrastructures has grown significantly due to the rapid proliferation and ubiquity of large-scale IT-based installations. At the same time, recognition has also grown of the usefulness of such studies as a means for understanding computing infrastructures as material complements of practical action. Subsequently the concept of “infrastructure” (or “information infrastructures,” “cyberinfrastructures,” and “infrastructuring”) has gained increasing importance in the area of Computer-Supported Cooperative Work (CSCW) as well as in neighboring areas such as Information Systems research (IS) and Science and Technology Studies (STS). However, as such studies have unfolded, the very concept of “infrastructure” is being applied in different discourses, for different purposes, in myriad different senses. Consequently, the concept of “infrastructure” has become increasingly muddled and needs clarification. The chapter presents a critical investigation of the vicissitudes of the concept of “infrastructure” over the last 35 years.

Information systems research at George Mason University

1997 ◽  
Vol 26 (4) ◽  
pp. 69-74
Author(s):  
Sushil Jajodia ◽  
Daniel Barbará ◽  
Alex Brodsky ◽  
Larry Kerschberg ◽  
Ami Motro ◽  
...  
Keyword(s):  
Information Systems ◽  
Systems Research ◽  
Information Systems Research ◽  
George Mason University
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