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New CEOs, mindful that poor stock performance is the primary reason boards fire chief executives, might be tempted to boost stock price immediately by adding a few pennies to earnings per share. But that would be a mistake. From day one, the new leader must establish objectives and rules that promote long-term value creation.

Although women are making slow inroads onto the boards of the Fortune 500, those who have arrived are gaining influence at a good clip. The percentage of women sitting on, and heading, crucial committees - such as audit, compensation, and nominating and corporate governance - is increasing markedly.

GlaxoSmithKline's radical process for choosing the best CEO candidate shows the benefit of running parallel evaluations of the finalists.

The first outsider to become CEO of Lego talks about the different approaches he's used to lead the 76-year-old, family-owned Danish toymaker onto a firm financial footing, then to reorient it toward growth, and now to open it to ideas and feedback from enthusiastic users.

Thinking of a second career in the social sector? You're not alone. And your current employer would be wise to help you train for it.

If you dream of starting your own business, it's better to leave the corporate nest sooner than later, before you get too comfortable with the big-company amenities every start-up lacks. Get going before you're 40 - or even earlier, if you want to make entrepreneurship your career.

Decision Support, Analytics, and Business Intelligence is an eight-chapter book written by Daniel J. Power, Professor of Management Information Systems at the College of Business Administration at the University of Northern Iowa, and published by Business Expert Press in 2013. This revised and expanded edition targets MBA students and management professionals who need to quickly grasp the basics of analytics, business intelligence, and computerized decision support. Major topics include: modern decision support systems (DSS), business intelligence and data driven support systems, predictive analytics and model-driven support, as well as identifying opportunities for decision support. The author addresses 61 of the most fundamentally relevant concepts needed to build a solid understanding of the rapidly changing realm of computerized decision support. The first chapter introduces modern decision support, a broad concept that prescribes using computerized systems and tools to assist in individual, group, and organizational decision-making. The chapter covers the need for decision support, the technical skills and knowledge needed by managers, and provides a historical perspective on decision support. The characteristics of modern DSS are also addressed.

Decision Support, Analytics, and Business Intelligence is an eight-chapter book written by Daniel J. Power, Professor of Management Information Systems at the College of Business Administration at the University of Northern Iowa, and published by Business Expert Press in 2013. This revised and expanded edition targets MBA students and management professionals who need to quickly grasp the basics of analytics, business intelligence, and computerized decision support. Major topics include: modern decision support systems (DSS), business intelligence and data driven support systems, predictive analytics and model-driven support, as well as identifying opportunities for decision support. The author addresses 61 of the most fundamentally relevant concepts needed to build a solid understanding of the rapidly changing realm of computerized decision support. Chapter 2 defines fundamental decision support concepts and associated terminologies. The primary goal of the chapter is to examine the purposes, technologies, and targeted users of DSS, analytics systems, business intelligence, and knowledge management.

Decision Support, Analytics, and Business Intelligence is an eight-chapter book written by Daniel J. Power, Professor of Management Information Systems at the College of Business Administration at the University of Northern Iowa, and published by Business Expert Press in 2013. This revised and expanded edition targets MBA students and management professionals who need to quickly grasp the basics of analytics, business intelligence, and computerized decision support. Major topics include: modern decision support systems (DSS), business intelligence and data driven support systems, predictive analytics and model-driven support, as well as identifying opportunities for decision support. The author addresses 61 of the most fundamentally relevant concepts needed to build a solid understanding of the rapidly changing realm of computerized decision support. In Chapter 3, the author examines the decision support spectrum, including decision automation, five types of decision support systems, basic characteristics of DSS, and computer-supported special studies. A modern, systematic decision support framework that can help better describe decision support needs is summarized

Abstract (Maximum of 2,000 Characters): Briefly describes content of case. Decision Support, Analytics, and Business Intelligence is an eight-chapter book written by Daniel J. Power, Professor of Management Information Systems at the College of Business Administration at the University of Northern Iowa, and published by Business Expert Press in 2013. This revised and expanded edition targets MBA students and management professionals who need to quickly grasp the basics of analytics, business intelligence, and computerized decision support. Major topics include: modern decision support systems (DSS), business intelligence and data driven support systems, predictive analytics and model-driven support, as well as identifying opportunities for decision support. The author addresses 61 of the most fundamentally relevant concepts needed to build a solid understanding of the rapidly changing realm of computerized decision support. Chapter 4 examines a specific category of DSS: business intelligence and data-driven DSS. The chapter addresses data warehousing, key considerations for evaluating a BI data-driven decision support proposal, and best practices for BI reports. Introduction to SQL, pivot tables, and parallel databases are provided.

Decision Support, Analytics, and Business Intelligence is an eight-chapter book written by Daniel J. Power, Professor of Management Information Systems at the College of Business Administration at the University of Northern Iowa, and published by Business Expert Press in 2013. This revised and expanded edition targets MBA students and management professionals who need to quickly grasp the basics of analytics, business intelligence, and computerized decision support. Major topics include: modern decision support systems (DSS), business intelligence and data driven support systems, predictive analytics and model-driven support, as well as identifying opportunities for decision support. The author addresses 61 of the most fundamentally relevant concepts needed to build a solid understanding of the rapidly changing realm of computerized decision support. Chapter 5 focuses on predictive analytics and model-driven DSS. Analytic applications - broad sets of model-driven information systems - are discussed, as is analytical processing, or quantitatively transforming and summarizing relevant data. The tools and applications used for spreadsheet-based DSS, such as Microsoft Excel, are clarified. Sensitivity and "What If?" analyses are compared. Last, the role played by computer-driven simulations, which imitate the behavior of a human or physical system, is addressed

Decision Support, Analytics, and Business Intelligence is an eight-chapter book written by Daniel J. Power, Professor of Management Information Systems at the College of Business Administration at the University of Northern Iowa, and published by Business Expert Press in 2013. This revised and expanded edition targets MBA students and management professionals who need to quickly grasp the basics of analytics, business intelligence, and computerized decision support. Major topics include: modern decision support systems (DSS), business intelligence and data driven support systems, predictive analytics and model-driven support, as well as identifying opportunities for decision support. The author addresses 61 of the most fundamentally relevant concepts needed to build a solid understanding of the rapidly changing realm of computerized decision support. In Chapter 6, the author reviews the benefits and disadvantages of computerized decision support. Nine potential benefits and advantages of DSS are explored, as are claims that some systems provide a competitive advantage. Substitutions for computerized decision support and their applications are then reviewed. The final section examines the potential disadvantages of building and using DSS.

Decision Support, Analytics, and Business Intelligence is an eight-chapter book written by Daniel J. Power, Professor of Management Information Systems at the College of Business Administration at the University of Northern Iowa, and published by Business Expert Press in 2013. This revised and expanded edition targets MBA students and management professionals who need to quickly grasp the basics of analytics, business intelligence, and computerized decision support. Major topics include: modern decision support systems (DSS), business intelligence and data driven support systems, predictive analytics and model-driven support, as well as identifying opportunities for decision support. The author addresses 61 of the most fundamentally relevant concepts needed to build a solid understanding of the rapidly changing realm of computerized decision support. Chapter 7 discusses the search, planning, and implementation processes associated with DSS. The auditing decision process is clarified and the content of a feasibility study examined. Concerns surrounding the reengineering of internal systems are explored. The factors influencing DSS implementation risks, and the trade-offs of outsourcing enterprise-wide DSS, are also discussed.

EnerNOC - a clean energy company -- sells energy-monitoring, management and efficiency services to utility customers, who agree to reduce consumption during peak-period emergencies in exchange for payments throughout the year. Utilities sign long term contracts with EnerNOC for delivery of "negawatts", i.e. the reduced consumption of electricity during peak periods, as a way to avoid adding power generating capacity. EnerNOC is undergoing explosive growth and must manage the build out of its energy management system, as well as the growth and evolution of its sales force. This case can be used in a variety of courses. In an entrepreneurship course, it can be the basis for a discussion of entrepreneurial opportunities in the clean energy sector, as well as the challenges of managing rapid growth. In a marketing class, it can be used to discuss the concept of adjacent markets. It can be used to stimulate a discussion of a broad range of issues in a sales management class: rewards systems; identification of sales skills in potential employees; entry into a new market; sales training; and so forth. It can be used in MBA level courses and in upper level undergraduate courses.

The case considers the steadily deteriorating relationship between BA's top management and its cabin crew union - and highlights the self-fulfilling and self-reinforcing nature of the dysfunctional dynamic that develops between the three key parties. We concentrate on the cognitive, motivational and behavioral mechanisms that drive the parties toward an avoidable stalemate. The airline ultimately got its way, but at the expense of a three-day strike estimated to have cost £125 million. In the process, it also inflicted huge damage on employee morale and corporate reputation. The strike proved to be a turning point in BA's fortunes, sending the once soaring share price into a long decline - as measured against its direct competitors. Although Ayling's radical cost-cutting strategy was in many ways farsighted, it was implemented in a way that alienated staff and angered the unions - moves that ultimately sent the company crashing out of the FTSE100. Learning objectives: We have written this case in response to demand from instructors to provide material for teaching the set-up-to-fail syndrome in different courses and in different contexts than the typical dyadic boss-subordinate relationship. This case shows how the process plays out in an intra-organizational situation between a company and its union - though a similar dynamic could easily develop with other stakeholders such as suppliers, alliance partners, shareholders, analysts or NGOs. It is a case about individual "opponents" who demonize each other - thus triggering a gigantic self-fulfilling and self-reinforcing process. The key lesson is that leaders and their teams have to be careful about labeling processes toward other parties. When they start caricaturing another stakeholder, they risk triggering vicious spirals.

Well aware of your experience and keen intuition, the newly appointed Chief Executive Officer of XYZ Airlines, James Sanchez, is asking for your help. The airline is loss-making, has a record of poor customer service, and is the result of an undigested merger several years ago. Sanchez took over as chief executive of XYZ Airlines a month ago. Well-known for his almost single-minded focus on customer service, he wants to create a service culture in the airline while continuing to cut costs. He is asking for your help to decide what he should do to create this culture change and to estimate how long it will take to succeed. Learning objectives: Participants are challenged to think about the critical success factors for changing the culture of an organization.

Two years after joining the LEGO Group as their Logistics Manager for Europe and Asia, Egil Møller Nielsen finds himself fighting several battles at different fronts; the most difficult one on his home turf against his own management team. He is half-way implementing a bold plan: close down all existing local and regional logistics operations and consolidate all logistics and distribution activities from a central location in the Czech Republic, managed by an external partner - DHL. Outsourcing logistics services on a scale like this - in East-Europe - had never been done before by any other European company. The stakes are high as LEGO, struggling for survival, is also trying to re-invent itself. Should Nielsen push through his plan - in which he firmly believes - or give in to the mounting pressure from home and relax his efforts? Learning objectives: We observe two new partners, both active on new, unexplored territory in the early stages of their partnership. The relationship is strained; both companies are under tremendous pressure from their corporate headquarters to show results while there is a general distrust in each others capacity and motivation. In this first case we learn that building a relationship that is based only on a contractual agreement can be a painful experience. Cost accounting in general and cost drivers in specific are mentioned to illustrate their importance in key decision making.

The case presents a description of the JV between GE Money and Hyundai Card/Hyundai Capital from its inception through 2006 when the venture's success in Korea led to thoughts of international expansion, raising the question of how the entity should be branded. Initially, GE had agreed to forgo the use of its name in the branding of the card given as brand recognition in Korea was low, while Hyundai enjoyed strong awarenesss and positive associations among Korean consumers. Data from market research bearing on the situation in 2006 are provided to facilitate the decision making.

In April 2007, the New York City Metropolitan Opera's general manager Peter Gelb looks back on the first season of a daring experiment to broadcast performances live in high-definition to movie theaters across North America. While the "Live in HD" program has received mostly positive reviews, there are lingering concerns. Do the benefits of the simulcasts continue to outweigh the possible drawbacks and the significant operational and financial resources?

In April 2007, the New York City Metropolitan Opera's general manager Peter Gelb looks back on the first season of a daring experiment to broadcast performances live in high-definition to movie theaters across North America. While the "Live in HD" program has received mostly positive reviews, there are lingering concerns. Do the benefits of the simulcasts continue to outweigh the possible drawbacks and the significant operational and financial resources?