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Supervisor Psychological Contract Management

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The psychological contract describes the employer-employee relationship as an individualised exchange between organisations and their members. This exchange clearly goes beyond what is usually agreed upon in a written work contract and extends into the area of values such as accountability and fairness. News coverage shows us many examples of how management by objectives and pay for performance are not effective in binding managers and employees to the interests of their employers. This is why psychological contracts are such a relevant issue these days. While existing research shows a positive relationship between unbroken psyc- logical contracts and motivation as well as in-role and extra-role behaviours, there has been little interest in the concept from the perspective of strategic human resource management or leadership research. The research presented by Maida Petersitzke focuses on these issues and thereby makes an important and very valuable contribution. After presenting a well-structured and clearly-written overview of existing research and the theoretical basis of psychological contracts – which has rarely been described in detail – the present research focuses on the following two issues: Maida Petersitzke presents a conceptual framework which affords the description of an organisational exchange offer that is sustainable and tied to the human resource strategy. She also provides an empirical study of leadership behaviours that facilitate a positive perception of the psychological contract by employees and thereby generate employee behaviours in the interest of the organisation.

Management Intelligent Systems

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This symposium was born as a research forum to present and discuss original, rigorous and significant contributions on Artificial Intelligence-based (AI) solutions—with a strong, practical logic and, preferably, with empirical applications—developed to aid the management of organizations in multiple areas, activities, processes and problem-solving; what we call Management Intelligent Systems (MiS).   This volume presents the proceedings of these activities in a collection of contributions with many original approaches. They address diverse Management and Business areas of application such as decision support, segmentation of markets, CRM, product design, service personalization, organizational design, e-commerce, credit scoring, workplace integration, innovation management, business database analysis, workflow management, location of stores, etc. A wide variety of AI techniques have been applied to these areas such as multi-objective optimization and evolutionary algorithms, classification algorithms, ant algorithms, fuzzy rule-based systems, intelligent agents, Web mining, neural networks, Bayesian models, data warehousing, rough sets, etc. This volume also includes a track focused on the latest research on Intelligent Systems and Technology Enhanced Learning (iTEL), as well as its impacts for learners and institutions. It aims at bringing together researchers and developers from both the professional and the academic realms to present, discuss and debate the latest advances on intelligent systems and technology-enhanced learning   The symposium was organized by the Soft Computing and Intelligent Information Systems Research Group (http://sci2s.ugr.es) of the University of Granada (Spain) and the Bioinformatics, Intelligent System and Educational Technology Research Group (http:// bisite.usal.es/) of the University of Salamanca (Spain). The present edition was held in Salamanca (Spain) on May 22–24, 2013. Â

Advances in Production Management Systems. Production Management Systems for Responsible Manufacturi

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This 4-volume set, IFIP AICT 689-692, constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2023, held in Trondheim, Norway, during September 17–21, 2023. The 213 full papers presented in these volumes were carefully reviewed and selected from a total of 224 submissions. They were organized in topical sections as follows: Part I : Lean Management in the Industry 4.0 Era; Crossroads and Paradoxes in the Digital Lean Manufacturing World; Digital Transformation Approaches in Production Management; Managing Digitalization of Production Systems; Workforce Evolutionary Pathways in Smart Manufacturing Systems; Next Generation Human-Centered Manufacturing and Logistics Systems for the Operator 5.0; and SME 5.0: Exploring Pathways to the Next Level of Intelligent, Sustainable, and Human-Centered SMEs. Part II : Digitally Enabled and Sustainable Service and Operations Management in PSS Lifecycle; Exploring Digital Servitization in Manufacturing; Everything-as-a-Service (XaaS) Business Models in the Manufacturing Industry; Digital Twin Concepts in Production and Services; Experiential Learning in Engineering Education; Lean in Healthcare; Additive Manufacturing in Operations and Supply Chain Management; and Applications of Artificial Intelligence in Manufacturing. Part III : Towards Next-Generation Production and SCM in Yard and Construction Industries; Transforming Engineer-to-Order Projects, Supply Chains and Ecosystems; Modelling Supply Chain and Production Systems; Advances in Dynamic Scheduling Technologies for Smart Manufacturing; and Smart Production Planning and Control. Part IV : Circular Manufacturing and Industrial Eco-Efficiency; Smart Manufacturing to Support Circular Economy; Product Information Management and Extended Producer Responsibility; Product and Asset Life Cycle Management for Sustainable and Resilient Manufacturing Systems; Sustainable Mass Customization in the Era of Industry 5.0; Food and Bio-Manufacturing; Battery Production Development and Management; Operations and SCM in Energy-Intensive Production for a Sustainable Future; and Resilience Management in Supply Chains.

Complex Systems Design & Management

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 This book contains all refereed papers that were accepted to the fifth edition of the « Complex Systems Design & Management » (CSD&M 2014) international conference which took place in Paris (France) on the November 12-14, 2014. These proceedings cover the most recent trends in the emerging field of complex systems sciences & practices from an industrial and academic perspective, including the main industrial domains (aeronautic & aerospace, transportation & systems, defense & security, electronics & robotics, energy & environment, health & welfare services, software & e-services), scientific & technical topics (systems fundamentals, systems architecture & engineering, systems metrics & quality, systemic tools) and system types (transportation systems, embedded systems, software & information systems, systems of systems, artificial ecosystems). The CSD&M 2014 conference is organized under the guidance of the CESAMES non-profit organization, address: CESAMES, 8 rue de Hanovre, 75002 Paris, France.

Information Systems and Data Management

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This book constitutes the refereed proceedings of the 6th International Conference on Information Systems and Management of Data, CISMOD '95, held in Bombay, India, in November 1995. The book presents 14 revised full papers selected from some 60 submissions together with six invited papers by leading experts. These papers address the central issues of research and advanced application in the area of data management and information systems engineering; they are organized in sections on query processing, distributed systems, performance evaluation, knowledge discovery, real-time database systems, product and process design, and conceptual modelling.

Essential Tips for Buying Auto Insurance

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Get the best car insurance for you at the best price by knowing all the information about car insurance.

Private Wealth Management Definition

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Private wealth management (PWM) involves the management of the assets of high net worth individuals (HNWI) or accredited investors. Private wealth management firms have established close working relationships with high net worth clients to understand their financial needs and help them build investment portfolios that can meet their clients' financial goals.

Private Wealth Management Definition

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Private wealth management (PWM) involves the management of the assets of high net worth individuals (HNWI) or accredited investors. Private wealth management firms have established close working relationships with high net worth clients to understand their financial needs and help them build investment portfolios that can meet their clients' financial goals. They offer a range of services, including portfolio management, real estate planning, mortgage planning, asset protection, tax management, and other financial services. Private wealth management services are provided by large corporations, independent financial advisers and portfolio managers who specialize in working with high net worth private clients.

Top Investors & Wealth Management Companies

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Here is a list of the top investors and wealth management companies: Betterment, Vanguard, Moneyfarm, Robinhood, Advizr, Nutmeg, Wealthfront, Habito, Hydrogen, Sigfig and more. We'll share how these great companies are positioning themselves for success as we move to the new normal.

List Of Best Home Equity Loan Rates

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As with any loan, the person with the highest credit score will be entitled to the highest interest rate. The banks that provide these services will place more stringent requirements on your credit score and the equity in your property. Here are the best interest rates we can find among lenders who still offer home equity loans

What should I do for car insurance?

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How to buy car insurance? The most important thing is to know how to buy auto insurance.

Making It Easy To Save Big On Auto Insurance Packages

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Choosing the right auto insurance for your family is an important decision. The coverage can help to protect a substantial investment, your car. The cost can affect your budget. With so many policies to choose from, it can become confusing to decide which one is best for you. In this article, we will discuss some tips that can help in the auto insurance selection process.