The Question: The purpose of this study is to empirically show that the assumptions that lead to categorizing users or system developers in one of the.

Slides:



Advertisements
Similar presentations
Diversity in Management Research
Advertisements

Zina OLeary (2009) The Essential Guide to Doing Your Research Project. London: Sage Chapter 1 Taking the Leap into the Research World Zina OLeary.
Evaluating Work: Job Evaluation
Conceptualization and Measurement
Towards a better paradigmatic partnership between business and design Ulla Johansson & Jill Woodilla Business & Design Lab University of Gothenburg.
Understanding the Research Process
Soc 3306a Lecture 2 Overview of Social Enquiry. Choices Facing the Researcher What is the problem to be investigated? What questions should be answered?
The Necessity of Paradigms? Is this really an impactful variable in systems development?
Chapter 14 Comparing two groups Dr Richard Bußmann.
statistics NONPARAMETRIC TEST
1 Single Indicator & Composite Measures UAPP 702: Research Design for Urban & Public Policy Based on notes by Steven W. Peuquet. Ph.D.
Copyright © Cengage Learning. All rights reserved. 9 Inferences Based on Two Samples
CHI-SQUARE TEST OF INDEPENDENCE
13.1 Revision IMS Information Systems Development Practices.
Flow Diagram for The inference about two populations and ANOVA
Media og kommunikation The Media Book – chapter 2 Tools for studying the media.
12.1 Frameworks for comparing ISD methodologies IMS Information Systems Development Practices.
Wilcoxon Tests What is the Purpose of Wilcoxon Tests? What are the Assumptions? How does the Wilcoxon Rank-Sum Test Work? How does the Wilcoxon Matched-
DEPENDENT SAMPLES t-TEST What is the Purpose?What Are the Assumptions?How Does it Work?
An Introduction to METHODOLOGY in Social Sciences.
PhStat HYPOTHESIS TESTING.
McGraw-Hill/Irwin Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved.
COM332 – SA3 Methods and Methodologies. Themes –Methods and methodologies –Tools and techniques for IS development –Responsible systems development –Why.
ABSTRACT Key Terms: Parent involvement, Common Core State Standards, Homework, K – 2 Mathematics In this study, the 2015 REU mathematics team from Elizabeth.
Linear Regression: Test scores vs. HW scores. Positive/Negative Correlation.
Survey Implementation Learning Objectives  Create a survey in Microsoft Publisher  Analyze survey data  Make charts based on data in Excel or PowerPoint.
Qualitative vs Quantitative Research By Adelaide Collins Maori Development Research Centre.
Chapter 3 Paradigms and Communication Theory. Paradigms and Communication Theory Paradigm Shift (see discussion of Kuhn, Ch. 2) Paradigm: Metatheory:
GLENCOE / McGraw-Hill.
Parametric & Non-parametric Parametric Non-Parametric  A parameter to compare Mean, S.D.  Normal Distribution & Homogeneity  No parameter is compared.
Issues for research design Questions to think about as you begin your research (adapted from Hart 1998, page 86)
Deciphering Results For each survey item you are analyzing, choose one of the following: Independent samples t-test Paired samples t-test One sample t-test.
Associate Professor Arthur Dryver, PhD School of Business Administration, NIDA url:
Four Paradigms of IS Development Survey Design and Hypothesis Testing (Proposal) by Jie (Jennifer) Xu.
Seven Quality Tools The Seven Tools –Histograms, Pareto Charts, Cause and Effect Diagrams, Run Charts, Scatter Diagrams, Flow Charts, Control Charts.
State University – Higher School of Economics Alexander Tatarko A Study of Perceived Social Capital in a Multicultural Society: the Case of Russia (Moscow,
Nonparametric Statistics. In previous testing, we assumed that our samples were drawn from normally distributed populations. This chapter introduces some.
Four Paradigms of Information Systems Development: An Empirical Methodology.
LDZ System Charges – Structure Methodology 26 April 2010.
PARADIGMS AND ORGANIZATIONAL ANALYSIS Vedran Omanović, PhD (Senior Lecturer and Researcher) September 2014 Department of Business Administration at the.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 14 Comparing Groups: Analysis of Variance Methods Section 14.1 One-Way ANOVA: Comparing.
INF Lecture 27th of December 2005 Introduction to Qualitative Research Methods.
Deciphering Results For each survey item you are analyzing, choose one of the following: Independent samples t-test Paired samples t-test One sample t-test.
Microsoft Dynamics® NAV 2009
McGraw-Hill © 2006 The McGraw-Hill Companies, Inc. All rights reserved. The Basics of Educational Research Chapter Two.
LOGO Mamdouh Abdel Aziz Refaiy Dr. Associate Professor, Business Administration Department, Faculty of Commerce, Ain Shams University, Cairo, Egypt. Evaluating.
Blended Value Accounting and Social Enterprise Success Title.
Four Paradigms of Information Systems Development A proposed empirical study.
PSC 47410: Data Analysis Workshop  What’s the purpose of this exercise?  The workshop’s research questions:  Who supports war in America?  How consistent.
MERCER’S GLOBAL SERVICES 0 Cost Effective and Competitive Expatriate Management Do you face below concerns?  Do you transfer more and more employees from.
The Independent and Joint Effects of the Skill and Physical Bases of Relatedness in Diversification. Moshe Farjoun SMJ,Vol.9,611 – 630 ( 1998)
NONPARAMETRIC STATISTICS In general, a statistical technique is categorized as NPS if it has at least one of the following characteristics: 1. The method.
University of Sunderland COMM80 Risk Assessment of Systems ChangeUnit 10 Decision Points COMM80: Risk Assessment of Systems Change Unit 10.
Is there a dominant paradigm for information systems development? An empirical study.
Correlation – Spearman’s. What does it do? Measures rank correlation – whether highest value in the 1 st data set corresponds to highest in the 2 nd set.
Nonparametric statistics. Four levels of measurement Nominal Ordinal Interval Ratio  Nominal: the lowest level  Ordinal  Interval  Ratio: the highest.
Hypothesis Testing Involving One Population Chapter 11.4, 11.5, 11.2.
Quality perceived by online students: The influence of contextual factors José Mª Castán Farrero María Jesús Martínez Argüelles.
Field Study Proposal By Carl Rebman. Abstract n To develop a field study that helps to validate the theories set forth in the Hirschiem and Klien article.
Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
Authors *Dr. Asma Parveen *Uzaina
MIXED METHODS RESEARCH
Human Resource Management
Human Resource Management
Paradigms and the Development of Information System
Introduction to Research Methodology
Competitive Industry Report and Calculations
Four Paradigms As Described by Hirschheim & Kline (1989)
Complete the family of four
Presentation transcript:

The Question: The purpose of this study is to empirically show that the assumptions that lead to categorizing users or system developers in one of the four paradigms discussed by Hirshheim and Klein will affect whether or not there is agreement on the kind of information flows.

Ontological Assumptions Epistemological Assumptions Subjective Objective Order Conflict Functionalism Social Relativism Radical Structuralism Neohumanism Four Paradigms (According to Hirschheim and Klein)

Hypothesis: H1: The system developers and users that agree on their worldview will also agree on the kind of information flows.

Methodology: This study used a survey based field study of several organizations who had recently implemented a new information system. Forty companies from the Memphis area were used. Two surveys were constructed: one for the end-user and one for the system developer/analyst involved in each system development project. The companies were located through several large consulting firms in the Memphis area which had assigned employees to aid in the system development process.

Methodology: The survey consisted of several questions that were developed to determine the end-user or system developer’s assumptions on reality and knowledge. The answers to these questions were ranked as being 1. Subjective or Objective 2. Order-like or Conflict-like The survey also contained several questions to determine both the system developer and end-user’s assumptions on the kind of information flows the system provided. The answers to these questions were ranked as being 1. Information flow towards the end-users 2. Information flow towards management

Methodology: Once the worldview of the end-user and developer was established the user/developer pair was put into one of two groups 1. Those who agreed on the worldview (or were of the same paradigm, according to Hirshheim and Klein) 2. Those who disagreed on the worldview (or were of different paradigms, according to Hirshheim and Klein) Once separated into groups the average of those agreeing on information flows was calculated of those in the group whose worldview agreed. Likewise the same step was taken for group two, as shown in the following example.

Methodology U, D (A) U, D (X) U, D (A) U, D (X) Group 1 - Same WorldviewGroup 2 - Different Worldview *U = User, D = Developer, A = Agree, X = Disagree Average =.75 Average =.25

Methodology: Once the averages are calculated a t-test is run on the two averages to see if there is a significant difference between the them.