The Usefulness of the Two-Step Normality Transformation in Retesting Existing Theories

2021 ◽  
Vol 52 (1) ◽  
pp. 53-64
Author(s):  
Gary F. Templeton ◽  
Michael Brian Pope ◽  
Laurie L. Burney
Keyword(s):  
Goodness Of Fit ◽  
Original Data ◽  
Continuous Variables ◽  
Productivity Paradox ◽  
Systems Research ◽  
Step Procedure ◽  
Information Systems Research ◽  
Power Transformations ◽  
Significance Levels ◽  
The Relationship

The Two-Step normality transformation has been shown to reliably transform continuous variables toward normality. The procedure offers researchers a capable alternative to more prominent methods, such as winsorization, ranking, and power transformations. We demonstrate its utility in the context of the Productivity Paradox literature stream, which is renowned for inconsistent results. This paper demonstrates that the Two-Step normality transformation, which has not been used in Productivity Paradox research, may produce greater goodness-of-fit and affect theoretical understandings on the topic. We use a classic Productivity Paradox dataset to show that compared to the prominent normality transformations, the Two-Step produces unique findings, including 1) regression coefficients more closely resembling the original data, 2) different effect sizes and significance levels, and 3) strengthening evidence for fundamental theories in Productivity Paradox literature. We demonstrate results that challenge uncertainties about the relationship between IT investment and firm performance. Our results imply that the Two-Step procedure should be considered a viable transformation option in future information systems research.

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.

Assessing the Goodness-of-Fit between Persons and Their Environments

1986 ◽  
Vol 11 (2) ◽  
pp. 103-109 ◽  
Author(s):  
Robert L. Schalock ◽  
C. Mark Jensen
Keyword(s):  
Concurrent Validity ◽  
Goodness Of Fit ◽  
Intervention Strategies ◽  
Work Environments ◽  
Performance Requirements ◽  
Evaluation Strategies ◽  
Step Procedure ◽  
Correlational Data ◽  
Fit Index ◽  
The Relationship

This article outlines the assessment and quantification procedures involved in determining the goodness-of-fit (congruence) between persons and their environments. A three-step procedure is outlined that includes (a) assessing a person's behavioral capabilities on a series of either community living or vocational skills, (b) determining the performance requirements within the person's respective living or work environments, and (c) computing a Goodness-of-Fit Index (GOFI) that quantifies the congruence. Concurrent validity and correlational data are presented that summarize the relationship among criterion groups, GOFIs, and a number of outcome measures. This article concludes with a discussion of potential uses of the GOFI procedure for completing discrepancy analyses, person- and setting-intervention strategies, and formulating program development and evaluation strategies.

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.

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.

scholarly journals Hubungan Teknologi Informasi dan Formulasi Strategi Kompetitif Serta Dampaknya Terhadap Kinerja Organisasional: Kerangka Konseptual

2014 ◽  
Vol 5 (1) ◽  
pp. 176
Author(s):  
Agustinus Dedy Handrimurtjahjo
Keyword(s):  
Organizational Performance ◽  
Building Blocks ◽  
Competitive Strategies ◽  
It Alignment ◽  
It Flexibility ◽  
Systems Research ◽  
Information Systems Research ◽  
Role Of It ◽  
The Relationship

The relationship between IT and firm performance is a crucial research issue that symbolizes the value of information systems research. Many studies have attempted to understand the role of IT in organizational performance, and more researchers are paying attention to the notion of IT capabilities, including their potential to transform IT resources into business value. Meanwhile, the other study identified and investigated the three building blocks of IT deployment capabilities: strategic IT flexibility, business–IT partnership, and business–IT alignment. Using the resource-based view, the study propose a framework to explain the relationship between IT deployment capabilities and competitive advantage. This paper aims to find relationship between IT and Competitive Strategies and their impact on Organizational Performance.

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.

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