Strategic Decision-Making. A Practical Example Based on "Tesla"

Strategic Decision-Making. A Practical Example Based on Author: Lukas Wagner
Publisher:
ISBN: 9783668846111
Category :
Languages : en
Pages : 16

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Book Description
Essay from the year 2017 in the subject Business economics - Business Management, Corporate Governance, grade: 1,0, Tongji University, language: English, abstract: Decision making is a fundamental skill for any successful executive. But decisions at strategic level are hard to make. They require large amounts of resources and commitments which may be irreversible. They involve long-term consequences that are hard to predict. And, they require considering multiple, often conflicting, strategic objectives which are difficult to balance, particularly in the presence of risk and uncertainty. Research and thinking about modern business strategy emerged as a field of study and practice in the 1960s. Prior to that time, the words "strategy" and "competition" rarely appeared in the most prominent management literature. When influential academics in the USA started to think fundamentally about strategic decision making in the 1980s and '90s, they made the assumption that everything works in a competitive working, free market and developed thereof generic strategy tools, that are supposed to work everywhere. However, Elmes (the guest speaker) argues that they are not well founded, since strategies need to be developed in the respective context of an industry or market. This position will be explained in more detail during this essay. Especially the determinant of market efficiency, meaning how competitive a market is, strongly influences the development of strategic decisions. There are many industries where government involvement or asymmetric competition need to be considered to make strategic decisions, whereby generic strategy tools tend to be ineffective. Therefore, the key questions for this essay will be firstly what are the traditional concepts of strategy and how have they involved, secondly what actually makes a strategy successful and lastly how does it apply in practice.

Strategic Decision-Making. A Practical Example Based on "Tesla"

Strategic Decision-Making. A Practical Example Based on Author: Lukas Wagner
Publisher:
ISBN: 9783668846111
Category :
Languages : en
Pages : 16

Get Book Here

Book Description
Essay from the year 2017 in the subject Business economics - Business Management, Corporate Governance, grade: 1,0, Tongji University, language: English, abstract: Decision making is a fundamental skill for any successful executive. But decisions at strategic level are hard to make. They require large amounts of resources and commitments which may be irreversible. They involve long-term consequences that are hard to predict. And, they require considering multiple, often conflicting, strategic objectives which are difficult to balance, particularly in the presence of risk and uncertainty. Research and thinking about modern business strategy emerged as a field of study and practice in the 1960s. Prior to that time, the words "strategy" and "competition" rarely appeared in the most prominent management literature. When influential academics in the USA started to think fundamentally about strategic decision making in the 1980s and '90s, they made the assumption that everything works in a competitive working, free market and developed thereof generic strategy tools, that are supposed to work everywhere. However, Elmes (the guest speaker) argues that they are not well founded, since strategies need to be developed in the respective context of an industry or market. This position will be explained in more detail during this essay. Especially the determinant of market efficiency, meaning how competitive a market is, strongly influences the development of strategic decisions. There are many industries where government involvement or asymmetric competition need to be considered to make strategic decisions, whereby generic strategy tools tend to be ineffective. Therefore, the key questions for this essay will be firstly what are the traditional concepts of strategy and how have they involved, secondly what actually makes a strategy successful and lastly how does it apply in practice.

Strategic Planning Decisions in the High Tech Industry

Strategic Planning Decisions in the High Tech Industry PDF Author: Dilek Cetindamar
Publisher: Springer Science & Business Media
ISBN: 1447148878
Category : Technology & Engineering
Languages : en
Pages : 261

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Book Description
The scale and complexity of research and practices of open innovation mandate a correspondingly sophisticated form of decision making. Strategic Planning Decisions brings together a number of tools that ease the decision process in technology companies, providing both conceptual frameworks and practical applications. Innovative approaches are presented such as an ontology-based model where all the relevant aspects of a potential technology are interrelated to provide a comprehensive and logically connected data pool for decision makers. Divided into two sections, Strategic Planning Decisions describe both strategic approaches using the decision tools, and tactical approaches. Some of these tools are expanded while some others are embedded in a model that will lay the ground for practical application. These include: bibliometric analysis, ontology, roadmapping, lead user, six sigma, and multi-actor & multi-objective decision making methods Recent research and relevant theory are balanced with up–to–date practical applications and hands–on techniques making Strategic Planning Decisions ideal for engineers who wish to keep up–to–date with current ideas in the field of TM. It also provides workable methods for practising managers from all levels who wish to apply a more rigorous approach in their work and consultants concerned with technology assessment and its management.

Real Time Strategy

Real Time Strategy PDF Author: Andreas Schühly
Publisher: Emerald Group Publishing
ISBN: 178756813X
Category : Business & Economics
Languages : en
Pages : 197

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Book Description
Combining classical scenario thinking (the gentle art of perception) with the analytical power of big data and artificial intelligence, Real Time Strategy presents the decision making of the future which enables decision makers to develop dynamic strategies, monitor their validity, and react faster.

Marketing: Theory, Practice and Perspectives

Marketing: Theory, Practice and Perspectives PDF Author: Dr. Qaisar Abbas Fatimi
Publisher: Dr. Qaisar Abbas Fatimi
ISBN:
Category : Business & Economics
Languages : en
Pages : 256

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Book Description
Imagine a small coffee shop in a quaint neighborhood, which, through the power of effective marketing, transforms into a global phenomenon. Picture a startup with a revolutionary idea, using just the right blend of marketing strategies to become a household name. These stories, and countless others, form the tapestry of marketing's rich and varied history, a tapestry this book aims to explore and elucidate. At the heart of our journey is the quest to understand the essence of marketing. We begin in the past, delving into the foundational theories crafted by pioneers of the trade. These theories, like the story of David Ogilvy who revolutionized advertising with his focus on direct, customer-centric messaging, lay the groundwork for all that marketing has become today. As we move through the chapters, we encounter the practices that have shaped the present landscape of marketing. We tell tales of companies like Nike, which harnessed the power of brand storytelling to build an empire, and of small businesses that leveraged social media marketing to compete with industry giants. These stories illuminate the practical applications of marketing theories, demonstrating their power and versatility. In addressing ethical and sustainable marketing, we recount narratives of brands like Patagonia, which has woven environmental responsibility into its marketing fabric, inspiring a generation of conscious consumers and marketers alike. These tales underscore the growing importance of ethics in marketing, highlighting the shift towards more responsible business practices. The digital revolution in marketing brings its own set of stories. We delve into the world of AI and VR, recounting how these technologies are creating new frontiers in customer engagement, much like how Spotify uses data analytics to personalize user experiences, redefining the music industry's marketing strategies. Data-driven marketing strategies are no less dramatic. We explore how Netflix's data analytics have not just shaped marketing campaigns but also content creation, turning viewer preferences into blockbuster hits. Our global perspective includes tales of cross-cultural marketing successes and faux pas, learning from brands that have skillfully navigated the complex tapestry of global markets, and from those who stumbled, offering invaluable lessons in the importance of cultural sensitivity. As we peer into the future, we share predictions and possibilities, like the potential impact of blockchain technology on marketing transparency and customer trust. These forward-looking perspectives prepare our readers for the exciting, uncharted territories of marketing yet to come. In crafting "Marketing: Theory, Practice, and Perspectives," the goal was not just to create a book but to weave a story – a story that captures the imagination, imparts wisdom, and inspires action. It is a story that invites you, the reader, to be a part of this incredible world of marketing, to learn from its past, engage with its present, and shape its future.

Decision-making Strategies for Automated Driving in Urban Environments

Decision-making Strategies for Automated Driving in Urban Environments PDF Author: Antonio Artuñedo
Publisher: Springer Nature
ISBN: 3030459055
Category : Technology & Engineering
Languages : en
Pages : 205

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Book Description
This book describes an effective decision-making and planning architecture for enhancing the navigation capabilities of automated vehicles in the presence of non-detailed, open-source maps. The system involves dynamically obtaining road corridors from map information and utilizing a camera-based lane detection system to update and enhance the navigable space in order to address the issues of intrinsic uncertainty and low-fidelity. An efficient and human-like local planner then determines, within a probabilistic framework, a safe motion trajectory, ensuring the continuity of the path curvature and limiting longitudinal and lateral accelerations. LiDAR-based perception is then used to identify the driving scenario, and subsequently re-plan the trajectory, leading in some cases to adjustment of the high-level route to reach the given destination. The method has been validated through extensive theoretical and experimental analyses, which are reported here in detail.

Data Science and Business Intelligence for Corporate Decision-Making

Data Science and Business Intelligence for Corporate Decision-Making PDF Author: Dr. P. S. Aithal
Publisher: Srinivas Publication, Mangalore
ISBN: 9394676449
Category : Art
Languages : en
Pages : 222

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Book Description
About the Book: A comprehensive book plan on "Data Science and Business Intelligence for Corporate Decision-Making" with 15 chapters, each with several sections: Chapter 1: Introduction to Data Science and Business Intelligence Chapter 2: Foundations of Data Science Chapter 3: Business Intelligence Tools and Technologies Chapter 4: Data Visualization for Decision-Making Chapter 5: Machine Learning for Business Intelligence Chapter 6: Big Data Analytics Chapter 7: Data Ethics and Governance Chapter 8: Data-Driven Decision-Making Process Chapter 9: Business Intelligence in Marketing Chapter 10: Financial Analytics and Business Intelligence Chapter 11: Operational Excellence through Data Analytics Chapter 12: Human Resources and People Analytics Chapter 13: Case Studies in Data-Driven Decision-Making Chapter 14: Future Trends in Data Science and Business Intelligence Chapter 15: Implementing Data Science Strategies in Corporations Each chapter dives deep into the concepts, methods, and applications of data science and business intelligence, providing practical insights, real-world examples, and case studies for corporate decision-making processes.

Real-time Strategy and Business Intelligence

Real-time Strategy and Business Intelligence PDF Author: Marko Kohtamäki
Publisher: Springer
ISBN: 3319548468
Category : Business & Economics
Languages : en
Pages : 233

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Book Description
This book discusses and conceptualizes practices on real-time strategy, focusing on the interplay between strategy and business intelligence. Combining strategic practices and business intelligence systems, the authors demonstrate how managerial practices can be developed in the age of digitization. Also developing the concept of strategic agility, the book provides perspectives from a range of disciplines including strategic practices and decision making, customer relationship management, human resource management, competitive intelligence, supplier network management and business intelligence systems. Presenting managerial frameworks and guidelines, Real-time Strategy and Business Intelligence explores how to improve utilization of business intelligence systems in real-time decision making. Providing practical and future-oriented insights backed by examples and best practices, the authors present a clearly conceptualized theoretical framework.

Data Strategy

Data Strategy PDF Author: Bernard Marr
Publisher: Kogan Page Publishers
ISBN: 1398602590
Category : Business & Economics
Languages : en
Pages : 273

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Book Description
BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category (1st edition) Data is an integral strategic asset for all businesses. Learn how to leverage this data and generate valuable insights and true business value with bestselling author and data guru Bernard Marr. Data has massive potential for all businesses when used correctly, from small organizations to tech giants and huge multinationals, but this resource is too often not fully utilized. Data Strategy is the must-read guide on how to create a robust, data-driven approach that will harness the power of data to revolutionize your business. Explaining how to collect, use and manage data, this book prepares any organization with the tools and strategies needed to thrive in the digital economy. Now in its second edition, this bestselling title is fully updated with insights on understanding your customers and markets and how to provide them with intelligent services and products. With case studies and real-world examples throughout, Bernard Marr offers unrivalled expertise on how to gain the competitive advantage in a data-driven world.

AWS Certified AI & Machine Learning Specialist

AWS Certified AI & Machine Learning Specialist PDF Author:
Publisher: Cybellium
ISBN: 1836798830
Category : Computers
Languages : en
Pages : 230

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Book Description
Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

Innovation Capital

Innovation Capital PDF Author: Jeff Dyer
Publisher: Harvard Business Press
ISBN: 1633696537
Category : Business & Economics
Languages : en
Pages : 276

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Book Description
Learn from the Best Great leaders of innovation know that creativity is not enough. They succeed not only on the basis of their ideas, but because they have the vision, reputation, and networks to win the backing needed to commercialize them. It turns out that this quality--called "innovation capital"--is measurably more important for innovation than just being creative. The authors have spent decades studying how people get great ideas (the subject of The Innovator's DNA) and how people test and develop those ideas (explored in The Innovator's Method). Now they share what they've learned from a multipronged research program designed to determine how people compete for, and obtain, resources to launch new ideas: How you can build a personal reputation for innovation What techniques you can use to amplify your innovation capital How you can garner attention for your ideas and projects and persuade audiences to support them What it means to provide visionary leadership and how you can achieve it Featuring interviews with the superstars of innovation--individuals like Jeff Bezos (Amazon), Elon Musk (Tesla), Marc Benioff (Salesforce), Indra Nooyi (PepsiCo), and Shantanu Narayen (Adobe)--this book will help you position yourself and your ideas to compete for attention and resources so that you can launch innovations with impact.