Courses tagged with "Information environments" (172)

This course discusses the basics every manager needs to organize successful technology-driven innovation in both entrepreneurial and established firms. We start by examining innovation-based strategies as a source of competitive advantage and then examine how to build organizations that excel at identifying, building and commercializing technological innovations. Major topics include how the innovation process works; creating an organizational environment that rewards innovation and entrepreneurship; designing appropriate innovation processes (e.g. stage-gate, portfolio management); organizing to take advantage of internal and external sources of innovation; and structuring entrepreneurial and established organizations for effective innovation. The course examines how entrepreneurs can shape their firms so that they continuously build and commercialize valuable innovations. Many of the examples also focus on how established firms can become more entrepreneurial in their approach to innovation.

In keeping with the tradition of the last twenty-some years, the Readings in Optimization seminar will focus on an advanced topic of interest to a portion of the MIT optimization community: randomized methods for deterministic optimization. In contrast to conventional optimization algorithms whose iterates are computed and analyzed deterministically, randomized methods rely on stochastic processes and random number/vector generation as part of the algorithm and/or its analysis. In the seminar, we will study some very recent papers on this topic, many by MIT faculty, as well as some older papers from the existing literature that are only now receiving attention.

This course provides a rigorous treatment of non-cooperative solution concepts in game theory, including rationalizability and Nash, sequential, and stable equilibria. It covers topics such as epistemic foundations, higher order beliefs, bargaining, repeated games, reputation, supermodular games, and global games. It also introduces cooperative solution concepts—Nash bargaining solution, core, Shapley value—and develops corresponding non-cooperative foundations.

A large proportion of contemporary research on organizations, strategy and management relies on quantitative research methods. This course is designed to provide an introduction to some of the most commonly used quantitative techniques, including logit/probit models, count models, event history models, and pooled cross-section techniques.

This class surveys the current concepts, theories, and issues in strategic management of transportation organizations. It provides transportation logistics and engineering systems students with an overview of the operating context, leadership challenges, strategies, and management tools that are used in today's public and private transportation organizations. The following concepts, tools, and issues are presented in both public and private sector cases: alternative models of decision-making, strategic planning (e.g., use of SWOT analysis and scenario development), stakeholder valuation and analysis, government-based regulation and cooperation within the transportation enterprise, disaster communications, systems safety, change management, and the impact of globalization.

The Team Project has the goals of (1) developing teamwork and leadership skills and (2) learning from the analysis of a change initiative in a real-world company using concepts from other core courses. This class has no regular class schedule or weekly readings. Almost everything is oriented around your team and your project, with only a few deadlines. Each team is responsible for analyzing a recent, ongoing, or anticipated initiative at a real company. Examples might be a strategic reorientation, organizational restructuring, introduction of a new technology, or worker participation program.

This course is closely integrated with other MBA core classes: readings are assigned through Organizational Processes (15.311) and oral presentations are given in Communication for Managers (15.280).

15.975 U-Lab: Leading Profound Innovation for a More Sustainable World is an interactive and experiential class about leading profound innovation for pioneering a more sustainable economy and society. The class is organized around personal reflection practices, relational practices, and societal practices. It focuses on the intertwined relationship between the evolution of capitalism, multi-stakeholder innovation, and presencing.

This Communication and Argumentation seminar is an intensive writing workshop that focuses on argumentation and communication. Students learn to write and present their ideas in cogent, persuasive arguments and other analytical frameworks. Reading and writing assignments and other exercises stress the connections between clear thinking, critical reading, and effective writing.

The course provides a survey of the theory and application of time series methods in econometrics. Topics covered will include univariate stationary and non-stationary models, vector autoregressions, frequency domain methods, models for estimation and inference in persistent time series, and structural breaks.

We will cover different methods of estimation and inferences of modern dynamic stochastic general equilibrium models (DSGE): simulated method of moments, Maximum likelihood and Bayesian approach. The empirical applications in the course will be drawn primarily from macroeconomics.

This course offers an introduction to ethics in business, with a focus on business management. Students explore theoretical concepts in business ethics, and cases representing the challenges they will likely face as managers. There is opportunity to work with guest faculty as well as business and other professional practitioners. Individual class sessions take the form of moderated discussion, with occasional short lectures from the instructor.

15.082J/6.855J/ESD.78J is a graduate subject in the theory and practice of network flows and its extensions. Network flow problems form a subclass of linear programming problems with applications to transportation, logistics, manufacturing, computer science, project management, and finance, as well as a number of other domains. This subject will survey some of the applications of network flows and focus on key special cases of network flow problems including the following: the shortest path problem, the maximum flow problem, the minimum cost flow problem, and the multi-commodity flow problem. We will also consider other extensions of network flow problems.

Business organizations and markets use a bewildering variety of structures to coordinate the productive activities of their stakeholders. Dramatic changes in information technology and the nature of economic competition are forcing firms to come up with new ways of organizing work. This course uses economic theory to investigate the roles of information and technology in the existing diversity of organizations and markets and in enabling the creating of new organizational forms.

This course provides a series of strategic frameworks for managing high-technology businesses. The emphasis throughout the course is on the development and application of conceptual models which clarify the interactions between competition, patterns of technological and market change, and the structure and development of organizational capabilities.

This is not a course in how to manage product or process development. The main focus is on the acquisition of a set of powerful analytical tools which are critical for the development of a technology strategy as an integral part of business strategy. These tools can provide the framework for deciding which technologies to invest in, how to structure those investments and how to anticipate and respond to the behavior of competitors, suppliers, and customers. The course should be of particular interest to those interested in managing a business for which technology is likely to play a major role, and to those interested in consulting or venture capital.

This course focuses on recent developments in econometrics, especially structural estimation. The topics include nonseparable models, models of imperfect competition, auction models, duration models, and nonlinear panel data. Results are illustrated with economic applications.

If you are an entrepreneur, one of your priorities, in addition to building your company, is ensuring you have enough money at the right times. Early Stage Capital will consider a broad range of questions that entrepreneurs deal with on this front, including the following: What should your strategy and your priorities be in raising early stage capital? What are the market norms and standards in structuring VC deals? What are the critical negotiating strategies and tactics? How will your company be valued? How can you obtain the optimal valuation for your new venture? What are the critical elements in the relationship between venture capitalists and entrepreneurs? How is the "venture model" evolving? Is it broken? What is the impact of Super Angels and micro VCs?

These are key questions that face all entrepreneurs in 2010, particularly first-time entrepreneurs. This course aims to prepare you for these decisions, as either a potential entrepreneur or venture capitalist. Using live interactions with leading figures in the venture finance community, most of the class sessions will analyze fundamental strategies of the venture-capital investment process and the critical importance of the relationship between entrepreneur and investor. As well, we will have a tactical focus on demystifying the legalities and jargon of the term sheet and the "A round" financing process. Significantly for 2010, we will also frequently consider the rapid and arguably fundamental change in VC today as the "lean startup" model threatens much of the traditional role and value of the venture investor.

Disclaimer: The websites for this course and the materials they offer are provided for educational use only. They are not a substitute for the advice of an attorney and no attorney-client relationship is created by using them. All materials are provided "as-is", without any express or implied warranties.

This class surveys developmental entrepreneurship via case examples of both successful and failed businesses and generally grapples with deploying and diffusing products and services through entrepreneurial action. By drawing on live and historical cases, especially from South Asia, Africa, Latin America as well as Eastern Europe, China, and other developing regions, we seek to cover the broad spectrum of challenges and opportunities facing developmental entrepreneurs. Finally, we explore a range of established and emerging business models as well as new business opportunities enabled by developmental technologies developed in MIT labs and beyond.

This course teaches students how to understand the rationality behind how organizations and their programs behave, and to be comfortable and analytical with a live organization. It thereby builds analytic skills for evaluating programs and projects, organizations, and environments. It draws on the literature of the sociology of organizations, political science, public administration, and historical experience-and is based on both developing-country and developed-country experience.

This course focuses on recent developments in contract theory. Topics include: advanced models of moral hazard, adverse selection, mechanism design and incomplete contracts with applications to theory of the firm, organizational design, and financial structure.

This course introduces students to the fundamentals of nonlinear optimization theory and methods. Topics include unconstrained and constrained optimization, linear and quadratic programming, Lagrange and conic duality theory, interior-point algorithms and theory, Lagrangian relaxation, generalized programming, and semi-definite programming. Algorithmic methods used in the class include steepest descent, Newton's method, conditional gradient and subgradient optimization, interior-point methods and penalty and barrier methods.

The course provides a graduate level introduction to Industrial Organization. It is designed to provide a broad introduction to topics and industries that current researchers are studying as well as to expose students to a wide variety of techniques. It will start the process of preparing economics PhD students to conduct thesis research in the area, and may also be of interest to doctoral students working in other areas of economics and related fields. The course integrates theoretical models and empirical studies.