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Spanellis A: Systems Thinking for
Business and Management

Systems Thinking for Business and Management

Principles and Practice

This concise and accessible textbook is designed specifically for MBA and Master's students, recognising the challenges students face and providing a streamlined approach to completing a dissertation or company-based research project, within a tight deadline. Research Methods for MBA is structured to mirror the key stages of the research journey. This book walks its readers through: - topic selection - formulating research questions - conducting a focused literature review - choosing appropriate methods - collecting and analysing data &gt;This definitive textbook includes a 3-month completion framework serving as a guide and companion for postgraduate students to be kept alongside their research projects. it is full of learning features including clear learning outcomes, worked examples, key concepts and terms, exercise questions, and real-world examples with additional questions, to assist with real-world application from AstraZeneca, Bentley Motors, NHS, Holland &amp; Barrett and Railway Operators. This textbook also comes with lecturer slides and a lecturer's manual with exercise answers, as online resources.

Completing Projects and Dissertations

Research Methods for MBA Students

How the rise of AI agents--and other forms of autonomous intelligence--will transform every aspect of how companies create value and compete.Companies have long operated with a basic assumption: intelligence is scarce. Talent is limited, expertise is expensive, and good judgment is hard to scale. But that world is ending.AI agents are bringing a new form of labor into the enterprise--one that can work autonomously, learn continuously, and scale instantly. Their embodied counterparts, from drones to humanoid robots, are doing the same in the physical world. Together, these systems are introducing a new economic reality: cognition is becoming cheap, elastic, and abundant.In Abundant Intelligence, Deloitte's Nitin Mittal and futurist Mike Walsh show what happens when intelligence becomes cheap and widely available. Drawing on inside access to the people leading AI transformations at the world's most powerful companies, they uncover how this shift is challenging every assumption about strategy, productivity, and leadership, and what organizations must do now to stay ahead.As abundance becomes the new normal, the leader's job shifts from collecting intelligence to directing it. Those who learn to harness this expanding workforce of digital labor will unlock new levels of speed, creativity, and advantage. For everyone else, the gap will widen fast.

How Digital Labor Will Rewrite the Rules of Business

Abundant Intelligence

How to Set Up Your Organization to Deliver Success

The Delivery Manifesto

This book provides a comprehensive overview of practical cutting and packing problems, presenting practical algorithms for solving these problems from the perspective of combinatorial optimization. It also discusses the geometric properties and tools for cutting and packing problems.&nbsp; Problems of cutting and packing objects have been extensively studied for many years because of the numerous real-world applications—for instance, in the clothing, logistics, manufacturing, and material industries. They can be classified in three ways according to their dimensions: The one-dimensional problem is the most basic category of problems including knapsack problems, bin packing problems, and cutting stock problems. The two-dimensional geometric problems include rectangle packing problems, circle packing problems, and polygon packing problems. The three-dimensional problem is the most difficult category and has applications in container loading, cargo and warehouse management and so forth. Most of these variants are NP-hard, since they contain as a special case the knapsack problem or the bin packing problem, which are already known to be NP-hard. Therefore, heuristics and metaheuristics are essential for designing practical algorithms for these problems. In addition to practical algorithms for solving a wide variety of cutting and packing problems, the book also considers another feature of cutting and packing problems: the need to develop powerful geometric tools to handle the wide variety and complexity of shapes that need to be packed.

This book provides a comprehensive overview of practical cutting and packing problems, presenting practical algorithms for solving these problems from the perspective of combinatorial optimization. It also discusses the geometric properties and tools for cutting and packing problems.&nbsp; Problems of cutting and packing objects have been extensively studied for many years because of the numerous real-world applications—for instance, in the clothing, logistics, manufacturing, and material industries. They can be classified in three ways according to their dimensions: The one-dimensional problem is the most basic category of problems including knapsack problems, bin packing problems, and cutting stock problems. The two-dimensional geometric problems include rectangle packing problems, circle packing problems, and polygon packing problems. The three-dimensional problem is the most difficult category and has applications in container loading, cargo and warehouse management and so forth. Most of these variants are NP-hard, since they contain as a special case the knapsack problem or the bin packing problem, which are already known to be NP-hard. Therefore, heuristics and metaheuristics are essential for designing practical algorithms for these problems. In addition to practical algorithms for solving a wide variety of cutting and packing problems, the book also considers another feature of cutting and packing problems: the need to develop powerful geometric tools to handle the wide variety and complexity of shapes that need to be packed.&nbsp;&nbsp;

From the Perspective of Combinatorial Optimization

Cutting and Packing Problems

The objective of a business continuity plan is to ensure that your business will be able to continue operating in the event of a disruption in service caused by a natural or man-made incident. This book provides a framework for businesses to assess their general and specific risks, determine measures to counter these risks, and establish a business continuity plan that will work regardless of the type of disruptive event. Written by a leading expert in the field, this text is a must-read for experienced professionals as well as those just starting out.

The objective of a business continuity plan is to ensure that your business will be able to continue operating in the event of a disruption in service caused by a natural or man-made incident. This book provides a framework for businesses to assess their general and specific risks, determine measures to counter these risks, and establish a business continuity plan that will work regardless of the type of disruptive event. Written by a leading expert in the field, this text is a must-read for experienced professionals as well as those just starting out.

How to Build an End to End Business Continuity Program

This essential textbook will equip students to understand core marketing principles through the lens of real-world AI applications. Artificial Intelligence in Marketing by Kshitij Bhoumik is ideal for upper-level undergraduate and postgraduate students taking modules in AI in Marketing and Digital Marketing as part of their Marketing degrees. This textbook bridges the gap between technical possibility and marketing purpose, empowering future marketers to shape the technology, not just adopt it. This textbook includes: - Foundational marketing principles - The role AI plays in enhancing marketing techniques and strategies from using Generative AI to create new campaigns to how AI can be used to spot trends in social media - Real-world examples from global brands such as Bloom &amp; Wild, Monzo, Heinz, Glossier and Duolingo to help students apply theory to practice - Critical ethical questions and debates in each chapter, challenging students to consider issues such as bias, fairness and regulation -Twelve chapters structured around 12-weeks of teaching with activities and pedagogical features to match classroom needs and engage student with real-world technologies and tools

Theory, Ethical Practice and Strategy

Artificial Intelligence in Marketing

This book responds to the dynamics of the currently much changed financial market environment by providing a text that presents a more up-to-date description of financial markets – one that offers more current insight into the behaviour of financial markets and financial sector institutions than is currently represented in available books on the subject.

Financial Markets and Institutions

Use this jargon-free, step-by-step guide to create an agile, customer-centric marketing strategy and unlock the full capability of data and analytics.

Leverage Analytics and Data to Optimize Marketing Strategies

Marketing Metrics

Routledge Communication Series

This book presents the situational theory of problem solving (STOPS). This situational theory describes human problem-solving approaches that people adopt in dealing with almost any kind of life problem.

This book presents the situational theory of problem solving (STOPS). This situational theory describes human problem-solving approaches that people adopt in dealing with almost any kind of life problem.

Communicative, Cognitive, and Perceptive Bases

Situational Theory of Problem Solving

Use this practical guide to develop a strategy of retaining the best talent. You need to blend "high-tech" candidate search tools with traditional "high-touch" relationship-based recruiting methods.

How to Attract and Retain the Best Talent By Improving the Candidate Experience

High-Tech High-Touch Recruiting

Systems Thinking for Business and Management

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