It is commonplace for today’s transnational enterprises to undertake political risk analysis when choosing foreign markets and creating entry strategies. Despite this, non-market elements of corporate strategy are less well researched than the traditional market-based perspectives.
Providing comprehensive and leading edge overviews of current scholarship, this Companion surveys the current state of the field and provides a basis for improving our understanding of the non-market environment, encouraging new insights to improve strategies for enhancing a firm’s performance and legitimacy.
With a foreword by David Baron, the international team of contributors includes Jean-Philippe Bonardi, Bennet Zelner, and Jonathan Doh, who combine to create a book that is essential reading for students and researchers in business, management, and politics, including those interested in business regulation, environmental policy, political risk and corporate social responsibility.
The updated new edition of the market-leading strategic analysis textbook, addressing the emerging challenges that businesses face in an increasingly complex and dynamic environment
In Contemporary Strategy Analysis, expert strategist and lecturer Robert M. Grant equips management students and working professionals with the concepts, frameworks, and techniques needed to make better strategic decisions. Designed to be accessible to readers from different backgrounds and with varying levels of experience, this classic textbook combines a rigorous approach to business strategy with real-world examples of current practice and highly relevant case studies personally written by the author.
Contemporary Strategy Analysis focuses on the essential tasks of strategy, showing readers how to use the tools of strategy analysis to identify, analyze, and exploit the sources of superior business performance to secure competitive advantage. The eleventh edition examines the role of strategy in a world reshaped by the Covid-19 pandemic and discusses a wide range of trending topics — such as the corporate social responsibility movement and environmental, social, and governance innovation — presented alongside fully integrated business models and up-to-date examples of business model innovation.
Perfect for undergraduate and MBA students of business, Contemporary Strategy Analysis has also proven influential with consultants, executives, and others engaged in the strategic direction of a modern enterprise.
Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.
This publication provides practical guidance on the key areas where business membership organizations can integrate intellectual property into their services. This user-friendly handbook is written to support a wide range of basic to more advanced intellectual property services and contains a large number of references to online resources.
In Elevate, speaker and podcast host Robert Glazer reveals four life-changing principales- or capacities – that will allow you to overcome self-limiting beliefs, establish positive habits, and find your why.
The key is elevating yourself beyond the edge of your current abilities. Challange yourself, and the results will inspire others to rise along with you.
The Financial Times & McKinsey Business Book of the Year
A New York Times Notable Book A Washington Post Notable Book
One of the Best Books of the Year: NPR, San Francisco Chronicle, Time, Esquire, Fortune, Marie Claire, GQ, Mental Floss, Science Friday, Bloomberg, Popular Mechanics, BookRiot, The Seattle Times, The Oregonian, Publishers Weekly, Library Journal
In 2014, Theranos founder and CEO Elizabeth Holmes was widely seen as the next Steve Jobs: a brilliant Stanford dropout whose startup “unicorn” promised to revolutionize the medical industry with its breakthrough device, which performed the whole range of laboratory tests from a single drop of blood. Backed by investors such as Larry Ellison and Tim Draper, Theranos sold shares in a fundraising round that valued the company at more than $9 billion, putting Holmes’s worth at an estimated $4.5 billion. There was just one problem: The technology didn’t work. Erroneous results put patients in danger, leading to misdiagnoses and unnecessary treatments. All the while, Holmes and her partner, Sunny Balwani, worked to silence anyone who voiced misgivings—from journalists to their own employees.
Rigorously reported and fearlessly written, Bad Blood is a gripping story of the biggest corporate fraud since Enron—a tale of ambition and hubris set amid the bold promises of Silicon Valley.
Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you’ll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others.
Whether you’re a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool.
You’ll learn how to:
Determine which data sources to use for collecting information
Assess data quality and distinguish signal from noise
Build basic data models to illuminate patterns, and assimilate new information into the models
Cope with ambiguous information
Design experiments to test hypotheses and draw conclusions
Use segmentation to organize your data within discrete market groups
Visualize data distributions to reveal new relationships and persuade others
Predict the future with sampling and probability models
Clean your data to make it useful
Communicate the results of your analysis to your audience
Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.
7 out of 10 new products fail to deliver on expectations. Testing Business Ideas aims to reverse that statistic. In the tradition of Alex Osterwalder’s global bestseller Business Model Generation, this practical guide contains a library of hands-on techniques for rapidly testing new business ideas.
Testing Business Ideas explains how systematically testing business ideas dramatically reduces the risk and increases the likelihood of success for any new venture or business project. It builds on the internationally popular Business Model Canvas and Value Proposition Canvas by integrating Assumptions Mapping and other powerful lean startup-style experiments.
Testing Business Ideas uses an engaging 4-color format to:
Increase the success of any venture and decrease the risk of wasting time, money, and resources on bad ideas
Close the knowledge gap between strategy and experimentation/validation
Identify and test your key business assumptions with the Business Model Canvas and Value Proposition Canvas
A definitive field guide to business model testing, this book features practical tips for making major decisions that are not based on intuition and guesses. Testing Business Ideas shows leaders how to encourage an experimentation mindset within their organization and make experimentation a continuous, repeatable process.