Eric K. Clemons

• Eric K. Clemons and Rick Spitler (Working), Information, Uncertainty, and Pricing: Profiting from Customer Preferences In a Resonance Economy.
• Eric K. Clemons and Heinz Schimmelbusch (Working), Measuring Return on Strategic Agility: The Power of Agility when Facing Uncertainty and Strategic Ambiguity.
• Eric K. Clemons and B. Blecherman (Working), Piloting Uncharted Rapids: Successfully Leading Information-Driven Business Transformation.
• Eric K. Clemons and Steve Barnett (Working), Strategic Uncertainty and Alternative Futures: Evaluating Our Options in the Post-September 11 World.
• Eric K. Clemons and Steve Barnett (Working), The Internet and China: Strategic Implications For China and the West.
• Eric K. Clemons and Rick Spitler (Working), The Road Map for eCommerce: Mastering the Territory, Setting Your Strategy.
• Eric K. Clemons and Elizabeth T. Gray, jr (Working), Vendor Relationship Management: The Role of Shared History and the Value of Return on Trust. Abstract

  Information technology outsourcing has become too important to ignore, or to delegate. The twin goals remain unchanged — (1) creating and retaining economic value over time while (2) controlling exposure and strategic risks — but the scale of both the upside gain and downside risk have become enormous. Fortunately, as we shall show in this article, setting strategy for outsourcing is principally a leadership issue, not a technical issue, and thus now falls squarely within executives’ expertise and experience. Managing sourcing is principally about setting a strategy, based on economic objectives, communicating those objectives within and between firms, and managing psychology and expectations when the high economic stakes cause communications to break down. Successfully managing expectations and maintaining effective communications leads to trust, which, we have seen, produces great and measurable economic benefits in strategic sourcing relationships.

• Eric K. Clemons (Working), Victory: Information Endowment, Hyper-Differentiation, And Non-Information Goods.
• Noi Sian Koh, Hu Nan, Eric K. Clemons (Forthcoming), Do Online Reviews Reflect a Product’s True Perceived Quality—An Investigation of Online Movie Reviews Across Cultures, ECommerce Research and Applications.
• Eric K. Clemons and Nehal Madhani (Forthcoming), Regulation of Digital Businesses with Natural Monopolies or Third Party Payment Business Models: Antitrust Lessons from the Analysis of Google, Journal of Management Information Systems.
• All Research from Eric K. Clemons »

Past Courses

• OIDD2100 - Online Business Models

  This course provides a broad-based introduction to the management of information technology focusing on three interrelated themes: technology, organization, and strategy. The goal of this course is to equip students with the knowledge and tools to utilize information systems to pursue a firm's strategic and organizational goals. The course has no prerequisites other than a general interest in the applications of information technology.

• OIDD3990 - Supervised Study

  This course number is currently used for several course types including independent studies, experimental courses and Management & Technology Freshman Seminar. Instructor permission required to enroll in any independent study. Wharton Undergraduate students must also receive approval from the Undergraduate Division to register for independent studies. Section 002 is the Management and Technology Freshman Seminar; instruction permission is not required for this section and is only open to M&T students. For Fall 2020, Section 004 is a new course titled AI, Business, and Society. The course provides a overview of AI and its role in business transformation. The purpose of this course is to improve understanding of AI, discuss the many ways in which AI is being used in the industry, and provide a strategic framework for how to bring AI to the center of digital transformation efforts. In terms of AI overview, we will go over a brief technical overview for students who are not actively immersed in AI (topic covered include Big Data, data warehousing, data-mining, different forms of machine learning, etc). In terms of business applications, we will consider applications of AI in media, Finance, retail, and other industries. Finally, we will consider how AI can be used as a source of competitive advantage. We will conclude with a discussion of ethical challenges and a governance framework for AI. No prior technical background is assumed but some interest in (and exposure to) technology is helpful. Every effort is made to build most of the lectures from the basics.

• OIDD4690 - Info Strat & Econ

  This course is devoted to the study of the strategic use of information and the related role of information technology, and designed for students who want to manage and compete in technology-intensive businesses. The topics of the course vary year to year, but generally include current issues in selling digital products, intermediation and disintermediation, competing in online markets, emerging technologies, managing artificial intelligence and data science for business, and technology project management. Heavy emphasis is placed on utilizing information economics to analyze businesses in information-intensive industries. Technology skills are not required, although a background in information technology management, strategic management or managerial economics is helpful. The course is designed to complement OIDD 2100, OIDD 2150, OIDD 2450, and OIDD 255X.

• OIDD6130 - Online Business Models

  This course is devoted to the study of the strategic use of information and the related role of information technology. It is designed for students who want to manage and compete in technology-intensive businesses. Heavy emphasis is placed on applying information economics principles and theoretical rigor to analyze businesses in information-intensive industries using both qualitative and quantitative techniques. We will study information-based industries like digital media, social networks, financial services, and online retail as well as traditional businesses that are being changed by new digital capabilities. There are four broad themes for the course: the economics of information goods and services, information and consumer behavior, markets and market design, and network economics. Each day we will discuss a core topic in one or more of these themes, with an emphasis on bridging theoretical ideas to real world applications. Application topics might include applying artificial intelligence, platform economics, and cryptocurrencies. Technology skills are not required, although a background in information technology management, strategic management, data science, or managerial economics is helpful.

• D-I-V-O-R-C-E: A Site for Sore Wives, Business Week - 01/15/2007

Knowledge @ Wharton

• Why Companies Need to Address Caregiver Burnout, Knowledge @ Wharton - 07/30/2024
• Slow Burn | Jisung Park, Knowledge @ Wharton - 07/30/2024
• How to Improve Work-life Balance for Caregiving Employees, Knowledge @ Wharton - 07/30/2024
• Why ETFs Are Scoring Over Mutual Funds, Knowledge @ Wharton - 07/29/2024
• The AI-Savvy Leader: Building the Leadership Skills to Make AI Work, Knowledge @ Wharton - 07/29/2024
• Summer Reading: Wharton Faculty Picks, Knowledge @ Wharton - 07/23/2024
• What Does Your Writing Style Say About You?, Knowledge @ Wharton - 07/23/2024
• How to Align Private Equity Motives with Nursing Home Outcomes, Knowledge @ Wharton - 07/22/2024
• Baby Bust | Stewart Friedman, Knowledge @ Wharton - 07/16/2024
• Why Are Private Equity Firms Buying Mental Health Clinics?, Knowledge @ Wharton - 07/15/2024