scholarly journals A Paradigmatic Analysis of Digital Application Marketplaces

2015 ◽  
Vol 30 (3) ◽  
pp. 198-208 ◽  
Author(s):  
Ahmad Ghazawneh ◽  
Ola Henfridsson
Keyword(s):  
Information Systems ◽  
End Users ◽  
Digital Platforms ◽  
Ideal Types ◽  
Systems Research ◽  
Information Systems Research ◽  
Paradigmatic Analysis ◽  
Platform Ecosystems ◽  
Platforms And Ecosystems ◽  
The Relationship

This paper offers a paradigmatic analysis of digital application marketplaces for advancing information systems research on digital platforms and ecosystems. We refer to the notion of digital application marketplace, colloquially called ‘appstores,’ as a platform component that offers a venue for exchanging applications between developers and end users belonging to a single or multiple ecosystems. Such marketplaces exhibit diversity in features and assumptions, and we propose that examining this diversity, and its ideal types, will help us to further understand the relationship between application marketplaces, platforms, and platform ecosystems. To this end, we generate a typology that distinguishes four kinds of digital application marketplaces: closed, censored, focused, and open marketplaces. The paper also offers implications for actors wishing to make informed decisions about their relationship to a particular digital application marketplace.

Integrating Knowledge Management with the Systems Analysis Process

2011 ◽  
pp. 621-631
Author(s):  
Doron Tauber ◽  
David G. Schwartz
Keyword(s):  
Information System ◽  
Knowledge Management ◽  
Information Systems ◽  
Management Information System ◽  
Analysis Process ◽  
Systems Research ◽  
Information Systems Research ◽  
Structured Information ◽  
Different Characteristics ◽  
The Relationship

Information systems research has clearly recognized that knowledge management systems (KMSs) have different characteristics and requirements than those of a classic management information system (MIS). Beginning with the relationship drawn between data, information, and knowledge (Alavi & Leidner, 1999, 2001; Bhatt, 2001; Ulrich, 2001; Spiegler, 2000, 2003; Tuomi, 2000), through to the essential nature of unstructured and semi-structured information vs. structured information (Wu, Ling, Lee, & Dobbie, 2001; Lai, Carlsen, Christiansson, & Svidt, 2003; Fensel et al., 2002; Chou & Chow, 2000), there are many elements and areas in which the two diverge.

Integrating Knowledge Management with the Systems Analysis Process

2011 ◽  
pp. 259-266 ◽  
Author(s):  
Doron Tauber ◽  
David G. Schwartz
Keyword(s):  
Information System ◽  
Knowledge Management ◽  
Information Systems ◽  
Management Information System ◽  
Analysis Process ◽  
Systems Research ◽  
Information Systems Research ◽  
Structured Information ◽  
Different Characteristics ◽  
The Relationship

Information systems research has clearly recognized that knowledge management systems (KMSs) have different characteristics and requirements than those of a classic management information system (MIS). Beginning with the relationship drawn between data, information, and knowledge (Alavi & Leidner, 1999, 2001; Bhatt, 2001; Ulrich, 2001; Spiegler, 2000, 2003; Tuomi, 2000), through to the essential nature of unstructured and semi-structured information vs. structured information (Wu, Ling, Lee, & Dobbie, 2001; Lai, Carlsen, Christiansson, & Svidt, 2003; Fensel et al., 2002; Chou & Chow, 2000), there are many elements and areas in which the two diverge.

Theorizing Masclinity in Information Systems Research

2011 ◽  
pp. 1160-1165
Author(s):  
Ben Light
Keyword(s):  
Information Systems ◽  
Gender And Sexuality ◽  
Sexuality Research ◽  
Future Research ◽  
Masculinity Studies ◽  
Information And Communications Technologies ◽  
Systems Research ◽  
Information Systems Research ◽  
Communications Technologies ◽  
The Relationship

I want to argue that understanding masculinity is an important part of understanding gender and sexuality as it relates to information and communications technologies (ICTs), specifically those under the lens of the information-systems community. In order to do this, the landscape of gender and sexuality research in general is referred to along with such research in the field of information systems (IS), with reference as necessary to masculinity studies. I will then suggest some possible areas where a more thoroughgoing theorization may prove useful. In sum, future research might focus on the relationship between marginalised masculinities and the construction and consumption of IS in work organisations and society.

From Research to Practice

2014 ◽  
pp. 83-96
Author(s):  
Atul Mitra ◽  
Rex Karsten ◽  
Dennis Schmidt
Keyword(s):  
Information Systems ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Research Interest ◽  
Research To Practice ◽  
Research And Practice ◽  
Systems Research ◽  
Information Systems Research ◽  
Acceptance Model ◽  
The Relationship

Computer Self-Efficacy (CSE) has been an important construct in information systems research for more than two decades. The authors review a recent study that meta-analyzed 102 empirical CSE studies and quantitatively affirmed significant correlations with 7 variables of frequent research interest, as well as several potential moderators of these CSE-correlate relationships. This chapter discusses the relationship between CSE and the technology acceptance model, and the authors suggest that the CSE construct merits continued research and practitioner attention for a variety of reasons. The findings also yield managerial and organizational implications and suggestions for future CSE research and practice.

Integrating Knowledge Management with the Systems Analysis Process

2011 ◽  
pp. 431-441 ◽  
Author(s):  
Doron Tauber ◽  
David G. Schwartz
Keyword(s):  
Information System ◽  
Knowledge Management ◽  
Information Systems ◽  
Management Information System ◽  
Analysis Process ◽  
Systems Research ◽  
Information Systems Research ◽  
Structured Information ◽  
Different Characteristics ◽  
The Relationship

Information systems research has clearly recognized that knowledge management systems (KMSs) have different characteristics and requirements than those of a classic management information system (MIS). Beginning with the relationship drawn between data, information, and knowledge (Alavi & Leidner, 1999, 2001; Bhatt, 2001; Ulrich, 2001; Spiegler, 2000, 2003; Tuomi, 2000), through to the essential nature of unstructured and semi-structured information vs. structured information (Wu, Ling, Lee, & Dobbie, 2001; Lai, Carlsen, Christiansson, & Svidt, 2003; Fensel et al., 2002; Chou & Chow, 2000), there are many elements and areas in which the two diverge.

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.

scholarly journals Expl(AI)n It to Me – Explainable AI and Information Systems Research

2021 ◽  
Author(s):  
Kevin Bauer ◽  
Oliver Hinz ◽  
Wil van der Aalst ◽  
Christof Weinhardt
Keyword(s):  
Information Systems ◽  
Systems Research ◽  
Information Systems Research ◽  
Explainable Ai
Sign in / Sign up

Export Citation Format

Share Document