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De bedoeling van deze thesis was onderzoeken welke soort informatiebron de grootste invloed heeft op ons keuzegedrag. Het keuzegedrag werd onderverdeeld in maximizers en satisficers. We vonden dat zowel maximizers als satisficers positieve informatie hoger beoordeelden op basis van behulpzaamheid. Naast de manier van keuzes maken, hebben we ook gekeken naar de sterkte van de voorkeur en de aankoopintentie. Ongeacht mensen maximizers of satisficers zijn, doen mensen met een stabiele voorkeur en een hoge aankoopintentie aan informatievervorming. Zij beschouwen positieve informatie als behulpzamer en delen deze informatie veel liever dan de negatieve informatie.

Aankoopintentie. --- Informatie. --- Keuzegedrag. --- Maximizing. --- Negatieve recensie. --- Positieve recensie. --- Satisificing. --- Voorkeur. --- Zekerheid.

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When we discuss accelerating top line growth and maximizing profitability, we often consider hiring more people or cutting expenses or raising prices. We don't always look at ways to better exploit what we already have. Instead of hiring new people, we need to improve the performance of our current employees. Instead of cutting costs, we need better invest the money we do spend. Instead of raising prices we need to identify our ideal customers and sell to them. This book will discuss strategies on how to do all of these things and more. It will give you 25 ways to accelerate revenue growth and increase profitability immediately, without making any new financial investments. That is the Unified Theory of Profitability. It means you look at your organization and find ways to better leverage what you already have. It means focusing on those strategies that can provide the best results. It means becoming an expert on executing on those strategies. You can do this. You just need to find the ideas that work for you and commit to implementing them.

Industrial management. --- Success in business. --- Corporate profits. --- accelerating growth --- accelerating revenue growth --- boost performance --- excellence --- maximizing profitability --- operational elegance --- operational excellence --- operations excellence --- performance --- profit margins --- profitability --- revenue growth --- top line growth

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The prevalence of smart devices and cloud computing has led to an explosion in the amount of data generated by IoT devices. Moreover, emerging IoT applications, such as augmented and virtual reality (AR/VR), intelligent transportation systems, and smart factories require ultra-low latency for data communication and processing. Fog/edge computing is a new computing paradigm where fully distributed fog/edge nodes located nearby end devices provide computing resources. By analyzing, filtering, and processing at local fog/edge resources instead of transferring tremendous data to the centralized cloud servers, fog/edge computing can reduce the processing delay and network traffic significantly. With these advantages, fog/edge computing is expected to be one of the key enabling technologies for building the IoT infrastructure. Aiming to explore the recent research and development on fog/edge computing technologies for building an IoT infrastructure, this book collected 10 articles. The selected articles cover diverse topics such as resource management, service provisioning, task offloading and scheduling, container orchestration, and security on edge/fog computing infrastructure, which can help to grasp recent trends, as well as state-of-the-art algorithms of fog/edge computing technologies.

cloud computing --- container orchestration --- custom metrics --- Docker --- edge computing --- Horizontal Pod Autoscaling (HPA) --- Kubernetes --- Prometheus --- resource metrics --- fog computing --- task allocation --- multi-objective optimization --- evolutionary genetics --- hyper-angle --- crowding distance --- containers --- leader election --- load balancing --- stateful --- multi-access edge computing --- orchestrator --- task offloading --- fuzzy logic --- 5G --- fog/edge computing --- service provisioning --- service placement --- service offloading --- Internet of Things (IoT) --- task scheduling --- markov decision process (MDP) --- deep reinforcement learning (DRL) --- resource management --- algorithm classification --- evaluation framework --- web --- Web Assembly --- OpenCL --- LWC --- fast implementation --- Internet of things --- IoT actor --- data manager --- GDPR --- computing --- computational offloading --- dynamic offloading threshold --- minimizing delay --- minimizing energy consumption --- maximizing throughputs --- n/a

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Information management is a common paradigm in modern decision-making. A wide range of decision-making techniques have been proposed in the literature to model complex business and engineering processes. In this Special Issue, 16 selected and peer-reviewed original research articles contribute to business information management in various current real-world problems by proposing crisp or uncertain multiple-criteria decision-making (MCDM) models and techniques, mostly including multi-attribute decision-making (MADM) approaches, in addition to a single paper proposing an interactive multi-objective decision-making (MODM) approach. Particular attention is devoted to information aggregation operators; 65% of papers dealt with this item. The topics of this Special Issue gained attention in Europe and Asia. A total of 48 authors from seven countries contributed to this Issue. The papers are mainly concentrated in three application areas: supplier selection and rational order allocation, the evaluation and selection of goods or facilities, and personnel selection/partner selection. A number of new approaches are proposed that are expected to attract great interest from the research community.

multiple attribute decision making --- maximizing deviation model --- interval multiplicative preference relations --- rough sets --- queuing systems --- fuzzy EDAS --- nonnegative normal neutrosophic number --- single-valued linguistic neutrosophic interval linguistic number --- order allocation --- multi-attribute decision-making (MADM) --- multi-criteria decision-making --- Pythagorean uncertain linguistic variable --- neutrosophic sets --- supplier --- green supplier --- trust interval --- ANFIS --- reliable group decision-making --- multiple criteria decision-making --- adaptive neuro-fuzzy inference system (ANFIS) --- multi-attribute group decision-making --- Pythagorean fuzzy set --- Muirhead mean --- subcontractor evaluation --- fuzzy sets --- group decision-making --- score function --- supplier selection --- unbalanced linguistic set --- projection model --- multiple criteria group decision-making --- warehouse --- multi-hesitant fuzzy sets --- Dombi operations --- interaction operational laws --- decision making --- MCDM --- multiple criteria decision making (MCDM) --- rough ANP --- MADM --- multiple attributes decision-making --- interactive approach --- weighted aggregation operator --- logistics --- rough analytical hierarchical process (AHP) --- linguistic cubic variable --- multiobjective optimization --- aggregation operators --- bi-directional projection model --- rough boundary interval --- prioritized average operator --- binary discernibility matrices --- Einstein operations --- hesitant probabilistic fuzzy Einstein aggregation operators --- multiple-criteria decision-making (MCDM) --- aggregation operator --- linguistic cubic variable Dombi weighted arithmetic average (LCVDWAA) operator --- linguistic cubic variable Dombi weighted geometric average (LCVDWGA) operator --- multi-attribute decision making --- trapezoidal fuzzy number --- rough number --- evidence theory --- uncertain group decision-making support systems --- desirability function --- deterministic finite automata --- rough weighted aggregated sum product assessment (WASPAS) --- hesitant probabilistic fuzzy element (HPFE) --- multiple attribute decision making (MADM). --- multiple attribute decision making --- maximizing deviation model --- interval multiplicative preference relations --- rough sets --- queuing systems --- fuzzy EDAS --- nonnegative normal neutrosophic number --- single-valued linguistic neutrosophic interval linguistic number --- order allocation --- multi-attribute decision-making (MADM) --- multi-criteria decision-making --- Pythagorean uncertain linguistic variable --- neutrosophic sets --- supplier --- green supplier --- trust interval --- ANFIS --- reliable group decision-making --- multiple criteria decision-making --- adaptive neuro-fuzzy inference system (ANFIS) --- multi-attribute group decision-making --- Pythagorean fuzzy set --- Muirhead mean --- subcontractor evaluation --- fuzzy sets --- group decision-making --- score function --- supplier selection --- unbalanced linguistic set --- projection model --- multiple criteria group decision-making --- warehouse --- multi-hesitant fuzzy sets --- Dombi operations --- interaction operational laws --- decision making --- MCDM --- multiple criteria decision making (MCDM) --- rough ANP --- MADM --- multiple attributes decision-making --- interactive approach --- weighted aggregation operator --- logistics --- rough analytical hierarchical process (AHP) --- linguistic cubic variable --- multiobjective optimization --- aggregation operators --- bi-directional projection model --- rough boundary interval --- prioritized average operator --- binary discernibility matrices --- Einstein operations --- hesitant probabilistic fuzzy Einstein aggregation operators --- multiple-criteria decision-making (MCDM) --- aggregation operator --- linguistic cubic variable Dombi weighted arithmetic average (LCVDWAA) operator --- linguistic cubic variable Dombi weighted geometric average (LCVDWGA) operator --- multi-attribute decision making --- trapezoidal fuzzy number --- rough number --- evidence theory --- uncertain group decision-making support systems --- desirability function --- deterministic finite automata --- rough weighted aggregated sum product assessment (WASPAS) --- hesitant probabilistic fuzzy element (HPFE) --- multiple attribute decision making (MADM).

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Information management is a common paradigm in modern decision-making. A wide range of decision-making techniques have been proposed in the literature to model complex business and engineering processes. In this Special Issue, 16 selected and peer-reviewed original research articles contribute to business information management in various current real-world problems by proposing crisp or uncertain multiple-criteria decision-making (MCDM) models and techniques, mostly including multi-attribute decision-making (MADM) approaches, in addition to a single paper proposing an interactive multi-objective decision-making (MODM) approach. Particular attention is devoted to information aggregation operators; 65% of papers dealt with this item. The topics of this Special Issue gained attention in Europe and Asia. A total of 48 authors from seven countries contributed to this Issue. The papers are mainly concentrated in three application areas: supplier selection and rational order allocation, the evaluation and selection of goods or facilities, and personnel selection/partner selection. A number of new approaches are proposed that are expected to attract great interest from the research community.

multiple attribute decision making --- maximizing deviation model --- interval multiplicative preference relations --- rough sets --- queuing systems --- fuzzy EDAS --- nonnegative normal neutrosophic number --- single-valued linguistic neutrosophic interval linguistic number --- order allocation --- multi-attribute decision-making (MADM) --- multi-criteria decision-making --- Pythagorean uncertain linguistic variable --- neutrosophic sets --- supplier --- green supplier --- trust interval --- ANFIS --- reliable group decision-making --- multiple criteria decision-making --- adaptive neuro-fuzzy inference system (ANFIS) --- multi-attribute group decision-making --- Pythagorean fuzzy set --- Muirhead mean --- subcontractor evaluation --- fuzzy sets --- group decision-making --- score function --- supplier selection --- unbalanced linguistic set --- projection model --- multiple criteria group decision-making --- warehouse --- multi-hesitant fuzzy sets --- Dombi operations --- interaction operational laws --- decision making --- MCDM --- multiple criteria decision making (MCDM) --- rough ANP --- MADM --- multiple attributes decision-making --- interactive approach --- weighted aggregation operator --- logistics --- rough analytical hierarchical process (AHP) --- linguistic cubic variable --- multiobjective optimization --- aggregation operators --- bi-directional projection model --- rough boundary interval --- prioritized average operator --- binary discernibility matrices --- Einstein operations --- hesitant probabilistic fuzzy Einstein aggregation operators --- multiple-criteria decision-making (MCDM) --- aggregation operator --- linguistic cubic variable Dombi weighted arithmetic average (LCVDWAA) operator --- linguistic cubic variable Dombi weighted geometric average (LCVDWGA) operator --- multi-attribute decision making --- trapezoidal fuzzy number --- rough number --- evidence theory --- uncertain group decision-making support systems --- desirability function --- deterministic finite automata --- rough weighted aggregated sum product assessment (WASPAS) --- hesitant probabilistic fuzzy element (HPFE) --- multiple attribute decision making (MADM).