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Implementing Entrepreneurial Processes for Good
We all know that sustainable goals are a challenge and, specifically, firms play a key role in achieving them since they define and manage activities that impact our lives.For established firms, sustainable approaches are difficult to implement.For new firms, they may be not. More and more often, in fact, the new firms are born as good businesses: good as in ethical, good as in eco-sustainable and good as in performance (e.g., as measured by the SDGs). Scholars contributing to this volume have addressed their attention toward four main themes respectively dealing with: Opportunities for good (Part I); The influence of individual profiles on entrepreneurial processes for good (Part II); The type of firms and how they impact on entrepreneurial processes for good (Part III); The dynamics of entrepreneurial processes for good (Part IV). All the chapters included in the second volume of the series "Advances in Entrepreneurial Processes" are focused on entrepreneurial processes for good.The scholars contributing to this volume explore new approaches, open new perspectives of research, and share original results as well as they evoke additional contributions useful to advance the study of entrepreneurial processes.
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Stationary Processes and Discrete Parameter Markov Processes
This textbook explores two distinct stochastic processes that evolve at random: weakly stationary processes and discrete parameter Markov processes.Building from simple examples, the authors focus on developing context and intuition before formalizing the theory of each topic.This inviting approach illuminates the key ideas and computations in the proofs, forming an ideal basis for further study. After recapping the essentials from Fourier analysis, the book begins with an introduction to the spectral representation of a stationary process.Topics in ergodic theory follow, including Birkhoff's Ergodic Theorem and an introduction to dynamical systems.From here, the Markov property is assumed and the theory of discrete parameter Markov processes is explored on a general state space.Chapters cover a variety of topics, including birth-death chains, hitting probabilities and absorption, the representation of Markov processes as iterates of random maps, and large deviation theory for Markov processes.A chapter on geometric rates of convergence to equilibrium includes a splitting condition that captures the recurrence structure of certain iterated maps in a novel way.A selection of special topics concludes the book, including applications of large deviation theory, the FKG inequalities, coupling methods, and the Kalman filter. Featuring many short chapters and a modular design, this textbook offers an in-depth study of stationary and discrete-time Markov processes.Students and instructors alike will appreciate the accessible, example-driven approach and engaging exercises throughout.A single, graduate-level course in probability is assumed.
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Positive Nations and Communities : Collective, Qualitative and Cultural-Sensitive Processes in Positive Psychology
This book approaches the field of positive psychology from a post-modern perspective.It explores the consequences of combining current trends and models with supplementary participatory and transformative methods.The book brings a more collective, qualitative, culturally sensitive and transformative approach to the processes of making sense and implementing the science of positive psychology.It moves beyond the individual level towards a “knowledge community” and “knowledge of the communities”.The book is an invitation to more participatory and polyphonic dialogues in the field of positive psychology.
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Diffusion Processes, Jump Processes, and Stochastic Differential Equations
Diffusion Processes, Jump Processes, and Stochastic Differential Equations provides a compact exposition of the results explaining interrelations between di?usion stochastic processes, stochastic di?erential equations and the fractional in?nitesimal operators.The draft of this book has been extensively classroom tested by the author at Case Western Reserve University in a course that enrolled seniors and graduate students majoring in mathematics, statistics, engineering, physics, chemistry, economics and mathematical ?nance.The last topic proved to be particularly popular among students looking for careers on Wall Street and in research organizations devoted to ?nancial problems.Features Quickly and concisely builds from basic probability theory to advanced topics Suitable as a primary text for an advanced course in diffusion processes and stochastic differential equations Useful as supplementary reading across a range of topics.
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What are maturation processes and learning processes?
Maturation processes refer to the natural biological development and growth that occurs in an individual over time. These processes are largely influenced by genetics and occur without direct instruction or external influence. On the other hand, learning processes involve the acquisition of new knowledge, skills, or behaviors through experiences, instruction, and practice. Learning processes are influenced by environmental factors, social interactions, and cognitive development. Both maturation processes and learning processes play important roles in an individual's overall development and ability to adapt to their environment.
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What is the difference between LMI processes and LMN processes?
LMI (Linear Matrix Inequality) processes and LMN (Linear Matrix Norm) processes are both used in control theory to analyze and design control systems. The main difference between the two is that LMI processes focus on finding solutions to a set of linear matrix inequalities, while LMN processes focus on analyzing the norms of linear matrix equations. LMI processes are used to solve optimization problems and design robust control systems, while LMN processes are used to analyze the stability and performance of control systems. In summary, LMI processes are more focused on optimization and design, while LMN processes are more focused on analysis and stability.
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What is the difference between heat treatment processes and hardening processes?
Heat treatment processes refer to a range of techniques used to alter the physical and sometimes chemical properties of a material, typically through heating and cooling. This can include processes such as annealing, tempering, and quenching. Hardening processes, on the other hand, specifically refer to the heat treatment technique used to increase the hardness of a material, typically through heating and then rapidly cooling, or quenching, the material. In essence, hardening is a specific type of heat treatment process focused on increasing the hardness of a material, while heat treatment processes encompass a broader range of techniques aimed at altering various properties of a material.
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Can you recommend good websites for recording processes?
There are several good websites for recording processes, such as Process.st, Lucidchart, and Creately. These websites offer user-friendly interfaces and a variety of tools for creating and documenting processes, making them ideal for businesses and individuals looking to streamline their workflows. Additionally, they often provide templates and examples to help users get started. Overall, these websites are great resources for anyone looking to effectively record and communicate their processes.
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Diffusion Processes, Jump Processes, and Stochastic Differential Equations
Diffusion Processes, Jump Processes, and Stochastic Differential Equations provides a compact exposition of the results explaining interrelations between di?usion stochastic processes, stochastic di?erential equations and the fractional in?nitesimal operators.The draft of this book has been extensively classroom tested by the author at Case Western Reserve University in a course that enrolled seniors and graduate students majoring in mathematics, statistics, engineering, physics, chemistry, economics and mathematical ?nance.The last topic proved to be particularly popular among students looking for careers on Wall Street and in research organizations devoted to ?nancial problems.Features Quickly and concisely builds from basic probability theory to advanced topics Suitable as a primary text for an advanced course in diffusion processes and stochastic differential equations Useful as supplementary reading across a range of topics.
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Sustainable Manufacturing Processes
Sustainable Manufacturing Processes provides best practice advice on sustainable manufacturing methods, with examples from industry as well as important supporting theory.In the current manufacturing industry, processes and materials are developed with close reference to sustainability issues, with an outward look to optimum production efficiency and reduced environmental impact.Important topics such as the use of renewable energy, reduction of material waste and recycling, reduction in energy and water consumption, and reduction in emissions are all discussed, along with broad coverage of deformation and joining technologies, computational techniques, and computer-aided engineering.In addition, a wide range of traditional and innovative manufacturing technologies are covered, including friction stir welding, incremental forming, abrasive water jet machining, laser beam machining, sustainable foundry, porous material fabrication by powder metallurgy, laser and additive manufacturing, and thermoelectric and thermomagnetic energy harvesting.
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Basic Stochastic Processes
This book presents basic stochastic processes, stochastic calculus including Lévy processes on one hand, and Markov and Semi Markov models on the other.From the financial point of view, essential concepts such as the Black and Scholes model, VaR indicators, actuarial evaluation, market values, fair pricing play a central role and will be presented. The authors also present basic concepts so that this series is relatively self-contained for the main audience formed by actuaries and particularly with ERM (enterprise risk management) certificates, insurance risk managers, students in Master in mathematics or economics and people involved in Solvency II for insurance companies and in Basel II and III for banks.
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Language Planning Processes
CONTRIBUTIONS TO THE SOCIOLOGY OF LANGUAGE brings to students, researchers and practitioners in all of the social and language-related sciences carefully selected book-length publications dealing with sociolinguistic theory, methods, findings and applications. It approaches the study of language in society in its broadest sense, as a truly international and interdisciplinary field in which various approaches, theoretical and empirical, supplement and complement each other. The series invites the attention of linguists, language teachers of all interests, sociologists, political scientists, anthropologists, historians etc. to the development of the sociology of language.
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What are warehouse processes?
Warehouse processes refer to the series of activities and operations involved in the management and movement of goods within a warehouse. These processes include receiving, storing, picking, packing, and shipping of products. Additionally, warehouse processes also involve inventory management, order fulfillment, and maintaining the overall organization and efficiency of the warehouse. These processes are crucial for ensuring the smooth and accurate flow of goods in and out of the warehouse, ultimately contributing to the success of the supply chain and customer satisfaction.
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Which processes are unnecessary?
Processes that do not add value to the final product or service are considered unnecessary. This could include redundant paperwork, excessive approval steps, or overly complex decision-making processes. Unnecessary processes can slow down operations, increase costs, and create inefficiencies within an organization. Identifying and eliminating these unnecessary processes can help streamline operations and improve overall productivity.
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What are climatic processes?
Climatic processes refer to the various natural mechanisms and interactions that influence the Earth's climate system. These processes include factors such as solar radiation, greenhouse gas concentrations, ocean currents, and atmospheric circulation patterns. They play a crucial role in determining the long-term trends and variations in global and regional climates. Understanding climatic processes is essential for predicting future climate changes and their potential impacts on ecosystems, weather patterns, and human societies.
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What are exponential processes?
Exponential processes are mathematical functions or growth patterns where the rate of change of a quantity is proportional to its current value. In other words, the quantity increases or decreases at a constant percentage rate over a fixed interval of time. Exponential processes often result in rapid and accelerating growth, as the quantity being measured continually multiplies by a fixed factor. These processes are commonly observed in various natural phenomena, such as population growth, compound interest, and radioactive decay.
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