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Guiding the Digital Transformation of Organizations

Industries such as automotive, retail, financial services and healthcare are in the throes of innovation, disruption and transformation due to today’s digital economy. No industry is immune from the gale force winds of creative destruction catalyzed by social, mobile, analytics, cloud, and the Internet of Things technologies, just to name a few. Therefore, executive leaders in all firms need new models and frameworks as they engage with and reposition their organizations’ digital strategies, policies, investments and initiatives. In this Second Edition, Sambamurthy and Zmud have applied their awareness of current practice, experience with teaching, familiarity with current research, and insights to craft a timely, comprehensive treatment of the critical issues that must be mastered for organizations and individuals to thrive in the face of digital disruption.

The authors have significantly expanded and updated the First Edition’s modularized content with the aim of producing a rich collection of material to be used within the MBA core course as well as master’s, executive education and upper-level undergraduate courses addressing, among others:

  • Digital Strategy
  • Digital Innovation
  • Digital Investment
  • Business Platforms/Processes
  • Governance
  • Implementation Management
  • Project Management
  • Digital Projects Practicum

To further accommodate adopters’ flexibility in using the text’s content, this Second Edition has been organized into three parts: Part 1 – Digital Strategy; Part 2 – Digital Investment; and, Part 3 – Platform Management. Accordingly, students can purchase from our website: digital versions of the Full book, each Part, each Chapter, or some combination of Parts and Chapters.

Sambamurthy and Zmud believe, now more than ever, that value-adding applications of digital technology arise through the synergistic efforts of business professionals and technology professionals, across organizational levels and across ecosystems. Business professionals hold knowledge and insight about: competitive environments and strategies, strategic partners, products and services, and operational and managerial processes. Technology professionals hold knowledge and insight about: installed and potential digital solutions, the costs and resource requirements of digital solutions, and today’s fast-moving technology environment (e.g., vendors, service providers, consultants, competitors’ use of technology, etc.). The challenge for most organizations is to facilitate shared mindsets and rich dialogues between business and technology professionals – again, at all organizational levels. The content of this Second Edition has been driven by the goal of providing common ground for such collaborations.



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Book Parts and Chapters


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      • Chapter 1 – Digital Innovation and Disruption Purchase(PDF) $3
      • Chapter 2 – Digital Strategy Fundamentals Purchase(PDF) $3
      • Chapter 3 – Digitalized Business Models for Pipeline Ecosystems Purchase(PDF) $3
      • Chapter 4 – Digital Strategy Formulation for Pipeline Organizations Purchase(PDF) $3
      • Chapter 5 – Digital Strategy and the External Sourcing of Capabilities Purchase(PDF) $3
      • Chapter 6 – Digitalized Business Models for Network Ecosystems Purchase(PDF) $3
      • Chapter 7 – Digital Strategy Formulation for Network Organizations Purchase(PDF) $3
      • Chapter 8 – Grappling with the Risks of Digitalization Purchase(PDF) $3
      • Chapter 9 – Executive Mandates: Digital Strategy Purchase(PDF) $3

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      • Chapter 11 – Strategic Focus Purchase(PDF) $3
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      • Chapter 13 – Building a Persuasive Business Case Purchase(PDF) $3
      • Chapter 14 – Monetizing Benefits Flows Purchase(PDF) $3
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      • Chapter 16 – Project Management Planning Purchase(PDF) $3
      • Chapter 17 – Executive Mandates: Digital Investment Purchase(PDF) $3

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      • Chapter 18 – A Perpetual Balancing Act Purchase(PDF) $3
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    • Appendix – Basic Concepts – Purchase(PDF) $3
  • Glossary

Vallabh Sambamurthy

Vallabh Sambamurthy is the Eli Broad Professor of Information Technology at the Eli Broad College of Business at Michigan State University. His research examines how firms successfully leverage information technologies in their business strategies, products, services, and organizational processes. His research adopts the perspectives of CIOs and top management teams. Much of his work has been funded by the Financial Executives Research Foundation, the Advanced Practices Council (APC) of SIM and the National Science Foundation. He has served as editor-in-chief of Information Systems Research, senior editor for MIS Quarterly, and departmental editor for the IEEE Transactions on Engineering Management. He was selected as a Fellow of the Association for Information Systems in 2009. He obtained his Ph.D. from the University of Minnesota.

Robert Zmud

Robert W. Zmud is the George Lynn Cross Research Professor Emeritus at the Michael F. Price College of Business at the University of Oklahoma. His teaching and research interests focus on the business value of information technology, the management of information technology and the management of innovation. He served for 12 years as the Research Director for the Advanced Practices Council of SIM, International; and, he served as the editor-in-chief of MIS Quarterly and as a senior editor for: Information Systems Research, the Journal of the Association for Information Systems, and MIS Quarterly Executive. He is a recipient of the Association for Information Systems’ LEO Award and has been recognized as a Fellow of the Association of Information Systems, the Decision Science Institute and the INFORMS Information Systems Society. He obtained his Ph.D. from the University of Arizona.


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Comments Off on Chapter Overviews: Making Sense of Data through Statistics: An Introduction – SECOND EDITION

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PURCHASE ENTIRE DIGITAL BOOK (PDF format) – $19.95

 

Making Sense of Data through Statistics: An Introduction - Second Edition

Making Sense of Data through Statistics: An Introduction – SECOND EDITION

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This introductory statistics textbook exposes students to statistical techniques in a user-friendly approach emphasizing the sense-making nature of statistics. The Second Edition adds new content on business analytics, enhances explanations of key concepts and techniques, and incorporates updated examples and exercises. The target audience includes undergraduate or graduate students taking a first course in statistics. The text’s examples and exercises emphasize problems and questions related to today’s social and business contexts.


 




PURCHASE INDIVIDUAL DIGITAL CHAPTERS (PDF format) – $2.50 each

 

Introduction to Data and Statistics – SECOND EDITION

Introduction to Data and Statistics

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  • Variables and Data
  • Data Types
  • Scales of Measurement
  • Populations and Samples
  • Sampling Approaches
  • Sample Size
  • A Quick Look at Data Collection
  • From Statistics to Analytics

 


Data Presentation – SECOND EDITION

Data Presentation

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  • Frequency Tables
  • Frequency Tables for Qualitative Data
  • Frequency Tables for Quantitative Data
  • Column Chart
  • Histogram
  • Stem-and-Leaf Plot
  • Relative Frequency
  • Cumulative Relative Frequency
  • Comparing Nominal Data
  • Describing the Relationship between Two Quantitative Variables
  • Describing Time Series Data

 




Measures of Centrality and Variation – SECOND EDITION

Measures of Centrality and Variation

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  • Measures of Centrality
  • The Mean
  • The Median
  • The Mode
  • Measures of Variation
  • Variance
  • Standard Deviation
  • Coefficient of Variation
  • Percentiles: Measures of Relative Standing
  • Interquartile Range and Box Plots

 


Probability – SECOND EDITION

Probability

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  • The Vocabulary of Probability Theory
  • Assigning Probability
  • Relationships Between Events
  • Contingency Tables
  • The Addition Rule
  • Conditional Probabilities
  • The Multiplication Rule
  • Bayes’ Theorem

 


Discrete Probability Distributions – SECOND EDITION

Discrete Probability Distributions

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  • Random Variables
  • Probability Distribution
  • Bivariate Probability Distributions
  • The Binomial Distribution
  • Binomial Probability Distribution in Excel
  • Mean and Variance of the Binomial Distribution
  • The Poisson Distribution

 




Continuous Probability Distributions – SECOND EDITION

Continuous Probability Distributions

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  • Continuous Probability Distributions
  • The Uniform Distribution
  • The Normal Distribution
  • The t-Distribution
  • The χ2 Distribution
  • The F-Distribution
  • Working with the Normal Distribution
  • Determining Normal Distribution Probabilities with Excel and with the Standard Normal Distribution Table
  • P-Value
  • Inverse Probability Calculations

 


Introducing Hypothesis Testing – SECOND EDITION

Introducing Hypothesis Testing

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  • Stating Hypotheses
  • Properly Formulating Hypotheses
  • Sampling Distribution of the Mean
  • The Central Limit Theorem
  • Working with the Sampling Distribution of the Mean
  • Solving Problems by Integrating Concepts from Multiple Chapters
  • The Logic of Hypothesis Testing
  • Type I and Type II Errors

 


Additional Concepts in Hypothesis Testing – SECOND EDITION

Additional Concepts in Hypothesis Testing

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  • The t-Distribution
  • Hypothesis Test of the Population Mean when the Population Standard Deviation is Unknown
  • Confidence Interval for a Single Population Mean
  • Confidence Interval for the Population Mean when Sigma is Known
  • Confidence Interval for the Population Mean when Sigma is Unknown

 


Hypothesis Testing for a Population Proportion and Variance – SECOND EDITION

Hypothesis Testing for a Population Proportion and Variance

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  • Test of a Single Population Proportion
  • Sampling Distribution of Proportions
  • Conducting a Hypothesis Test of a Single Population Proportion
  • Confidence Interval for a Single Population Proportion
  • Test of a Single Population Variance
  • The χ2 Distribution
  • Conducting a Hypothesis Test of a Single Population Variance
  • Confidence Interval for a Single Population Variance

 




Hypothesis Testing of Parameters from Two Populations – SECOND EDITION

Hypothesis Testing of Parameters from Two Populations

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  • Test of Two Populations’ Proportions
  • Confidence Interval for the Difference between Two Populations’ Proportions
  • Test of Two Populations’ Variances
  • The F-Distribution
  • Continuing with the Test of Two Populations’ Variances
  • Confidence Interval for the Ratio of Two Populations’ Variances
  • Test of Two Populations’ Means
  • Test of Two Populations’ Means: Equal Variances and Independent Samples
  • Test of Two Populations’ Means: Unequal Variances and Independent Samples
  • Test of Two Populations’ Means: Paired Samples
  • Confidence Interval for the Difference between Two Populations’ Means
  • Bringing It All Together

 


Chi-Square Tests – SECOND EDITION

Chi-Square Tests

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  • Goodness of Fit Test
  • Goodness of Fit Test for Normality
  • Sample Size Considerations
  • Test of Independence

 


Analysis of Variance – SECOND EDITION

Analysis of Variance

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  • Terminology and Assumptions
  • One-Way ANOVA
  • Using Excel
  • Two-Way ANOVA
  • Randomized Block ANOVA Design
  • Two-Factors ANOVA
  • Interpreting Interaction Effects

 


Regression Analysis – SECOND EDITION

Regression Analysis

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  • Terminology and Assumptions
  • Conducting Regression Analysis
  • The Coefficient of Determination (R2)
  • The Standard Error of the Estimate (Sε)
  • The ANOVA Test
  • The Regression Coefficients
  • Improving the Model
  • Qualitative Independent Variables
  • Understanding the Intercept
  • Confidence and Prediction Intervals

 


Comments Off on Making Sense of Data through Statistics: An Introduction – SECOND EDITION

Making Sense of Data through Statistics: An Introduction - Second Edition

[ISBN: 978-0-9857955-8-0]

Authored by Dorit Nevo, Rensselaer Polytechnic Institute

This introductory statistics textbook exposes students to statistical techniques in a user-friendly approach emphasizing the sense-making nature of statistics. The Second Edition adds new content on business analytics, enhances explanations of key concepts and techniques, and incorporates updated examples and exercises.

The target audience includes undergraduate or graduate students taking a first course in statistics. As the text’s examples and exercises emphasize problems and questions that reference today’s social and business contexts, these examples and exercises resonate extremely well with students.

The textbook is accompanied with data sets (provided as Excel worksheets) providing students with a hands-on experience in using Excel to reinforce the statistical concepts and techniques covered.

Topics are covered using very accessible language and a conversational style. Numerous examples and problems, constructed around issues taken from students’ everyday life experiences, are woven into the text to enhance and simplify the learning process. Key words, unit summaries, unit exercises and end-of-chapter exercises are included within each chapter; and, appendices are provided describing all the equations and Excel functions introduced in the text.

Chapter Titles:

  • Introduction to Data and Statistics
  • Data Presentation
  • Measures of Centrality and Variation
  • Probability
  • Discrete Probability Distributions
  • Continuous Probability Distributions
  • Introducing Hypothesis Testing
  • Additional Concepts in Hypothesis Testing
  • Hypothesis Testing for a Population Proportion and Variance
  • Hypothesis Testing of Parameters from Two Populations
  • Chi-Square Tests
  • Analysis of Variance
  • Regression Analysis

Teaching Supplements: Lecture Slides, Sample Tests and Solutions Manual

Purchase Entire Digital Book (PDF format) or Selected Digital Chapters

Educator Access to Text Content and Supplementary Materials

NOTE: The Excel worksheets that accompany this digital textbook are only available on our Educator Preview website. Students are not able to access this page. When we are notified that an instructor has officially adopted the book, we provide him or her with a Zip file of the chapter Excel worksheets, along with a custom Teacher’s Edition (.PDF only) that has fewer security controls than that version purchased by students. The instructor will need to download the Excel worksheet files and make them available to students through email or the school’s instructional platform (i.e., Blackboard.com). Additionally, if students purchase chapters individually, they will not automatically receive Appendix A or the three supplementary indexes (Excel Function Index, Equation Index and Key Term Index). As such, the instructor will also need to download these files from the Educator Preview website and make them available to students (if necessary).


Dorit Nevo

Dorit Nevo is an Associate Professor of Information Systems and Director of the MS program in Business Analytics at the Lally School of Management, Rensselaer Polytechnic Institute (RPI). Before joining RPI, she was an Associate Professor at York University’s Schulich School of Business. She received her Ph.D. in Management Information Systems from the University of British Columbia and her M.Sc. in Economics from the Technion – Israel Institute of Technology.

Professor Nevo has been teaching Introductory Statistics since 2003 and is very passionate about the importance of making sense of data in businesses. In particular, she believes that the ability to tell a compelling story from a data set is a valuable capability for any professional. Besides Introductory Statistics, she also teaches courses on Applied Analytics and Predictive Modeling and on Management Information Systems. Professor Nevo’s research also touches on learning analytics and big data visualization.


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Adopters

Making Sense of Data through Statistics: An Introduction
Dorit Nevo

Miriam Ashford, Palo Alto University
Leah Bevis, Ohio State University
Glenn Brauen, University of Toronto
Shobha Chengalur-Smith, University at Albany – SUNY
Sam Cosaert, IESEG School of Management
Bowman Cutter, Pomona College
Robert Dauffenbach, University of Oklahoma
Manuel DeTuya, SUNY – Albany
Dongling Huang, Rensselaer Polytechnic Institute
Nishtha Langer, Rensselaer Polytechnic Institute
Chihoon Lee, Stevens Institute of Technology
Yingda Lu, Rensselaer Polytechnic Institute
Linden McBride, St. Mary’s College of Maryland
Daniel Mooney, Beloit College
Jermaine Moulton, Beloit College
Ning Nan, University of British Columbia
Dorit Nevo, Rensselaer Polytechnic Institute
Saggi Nevo, University at Albany – SUNY
Christopher Stevens, Gonzaga University
Jingzhi Tie, University of Georgia
Ian Sue Wing, Boston University
Li Zheng, Rensselaer Polytechnic Institute