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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).

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A topic of utmost importance in civil engineering is finding optimal solutions throughout the life cycle of buildings and infrastructural objects, including their design, manufacturing, use, and maintenance. Operational research, management science, and optimization methods provide a consistent and applicable groundwork for engineering decision-making. These topics have received the interest of researchers and, after a rigorous peer-review process, eight papers have been published in this Special Issue. The articles in this Printed Edition demonstrate how solutions in civil engineering, which bring economic, social, and environmental benefits, are obtained through a variety of methodologies and tools. Usually, decision-makers need to take into account not just a single criterion, but several different criteria and, therefore, multi-criteria decision-making (MCDM) approaches have been suggested for application in five of the published papers; the rest of the papers apply other research methods. Most approaches suggested decision models under uncertainty, proposing hybrid MCDM methods in combination with fuzzy or rough set theory, as well as D-numbers. The application areas of the proposed MCDM techniques mainly cover production/manufacturing engineering, logistics and transportation, and construction engineering and management. We hope that a summary of the Special Issue as provided here will encourage a detailed analysis of the papers included in the Printed Edition.

railway wagon --- rough sets --- Additive Ratio Assessment (ARAS) --- neural network --- cost estimation --- boarding/deboarding strategies --- optimisation --- multi-criteria decision-making (MCDM) --- Step-Wise Weight Assessment Ratio Analysis (SWARA) --- ruled surface --- seat preference --- image processing --- risk management --- fuzzy sets --- supply chain --- Grasshopper --- experimental test --- parametric design --- rough Best–Worst Method (BWM) --- EDAS --- artificial neural networks --- 3D modelling --- civil engineering --- shovel machine --- interval-valued fuzzy Additive Ratio Assessment --- airplane turn time --- oil and gas well drilling projects --- MCDM --- roof shell --- consistent fuzzy preference relation (CFPR) --- DEMATEL --- tool-flank-wear monitoring --- analytical network process (ANP) --- logistics --- multi criteria decision making --- internal transport --- conceptual design --- hybrid MCDM --- structural analysis --- D number --- construction --- architecture --- multiple-criteria decision-making (MCDM) --- performance evaluation --- rough number --- construction project risk --- multi-attributive border approximation area comparison (MABAC) --- finite element method (FEM) --- manufacturing engineering --- transportation --- experimental testing --- hybrid model --- flexible manufacturing --- rough Simple Additive Weighting (SAW) --- D numbers --- multivariate regression

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Optimization is considered as a decision-making process for getting the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that need to be optimized simultaneously, while respecting some constraints or involving selection among feasible discrete alternatives. In this Reprint of the Special Issue, 19 research papers co-authored by 88 researchers from 14 different countries explore aspects of multi-objective or multi-attribute modeling and optimization in crisp or uncertain environments by suggesting multiple-attribute decision-making (MADM) and multi-objective decision-making (MODM) approaches. The papers elaborate upon the approaches of state-of-the-art case studies in selected areas of applications related to sustainable development decision aiding in engineering and management, including construction, transportation, infrastructure development, production, and organization management.

artificial neural network --- sustainability hierarchy --- expert --- Rough Hamy aggregator --- sustainable solution --- crank–slider --- technology selection problem --- AHP --- bus pass --- optimization --- discrete time/cost trade-off --- Rough WASPAS --- hybrid multi-criteria decision making (MCDM) --- travel times --- extended Tomada de Decisão Interativa Multicritério (TODIM) --- bi-level programming --- multi-objective evolutionary algorithms --- project scheduling --- WASPAS --- port scheduling --- rehydration --- sustainable transport policy --- gold mines --- hybrid mathematical model --- sustainable developments --- straw bales --- group decision making --- contractor --- Total Interpretive Structural Modeling (TISM) --- MULTIMOORA --- building investment project --- heuristics --- cleaner production (CP) --- particle swarm optimization (PSO) --- optimization study --- critical information infrastructures --- bi-objective optimization --- dynamic analysis --- location-allocation problem --- probabilistic linguistic term sets (PLTSs) --- drying --- multiple objective optimization --- multi-objective decision-making (MODM) --- ranking --- hierarchical SWARA --- choice --- linguistic hesitant fuzzy set and Standard variance --- multiple-attribute decision-making (MADM) --- project --- sustainable energy evaluation --- emission of pollutants --- genetic algorithm --- ARAS-G --- multi-purpose system --- renewable energy --- assessment --- hospital evaluation --- bat algorithm --- multiple-criteria decision-making --- comfort of use of buildings --- energy efficiency --- healthcare facility --- conceptual framework --- hybrid expert system --- engineering --- sustainability --- verbal analysis --- sustainable energy developments --- sustainable development --- hybrid --- public transport --- water resource management --- compacted clay --- multiple criteria decision making (MCDM) --- MCDM --- particle swarm optimization algorithm --- sustainable traffic --- single-cylinder engine --- Rough BWM --- policy measures --- apple --- clay blocks --- historic buildings --- hesitant fuzzy set --- construction --- TOPSIS-GM --- roundabout --- fuzzy --- sustainable transport --- surface transport --- grey --- Multiple Attribute Decision Making (MADM) --- WSM --- ecological building --- management --- Geomean --- SWARA --- vibration suppression --- organizations --- innovation in transport --- risk --- berth-quay crane joint scheduling --- cost calculation --- multiple criteria decision aid

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The present book covers the main challenges, important for future prospects of subsoils extraction as a public effective and profitable business, as well as technologically advanced industry. In the near future, the mining industry must overcome the problems of structural changes in raw materials demand and raise the productivity up to the level of high-tech industries to maintain the profits. This means the formation of a comprehensive and integral response to such challenges as the need for innovative modernization of mining equipment and an increase in its reliability, the widespread introduction of Industry 4.0 technologies in the activities of mining enterprises, the transition to "green mining" and the improvement of labor safety and avoidance of man-made accidents. The answer to these challenges is impossible without involving a wide range of scientific community in the publication of research results and exchange of views and ideas. To solve the problem, this book combines the works of researchers from the world's leading centers of mining science on the development of mining machines and mechanical systems, surface and underground geotechnology, mineral processing, digital systems in mining, mine ventilation and labor protection, and geo-ecology. A special place among them is given to post-mining technologies research.

underground mining --- ventilation systems --- methane release hazard --- spontaneous combustion hazard --- safety --- copper ore comminution --- hydro-jet mill --- high-pressure water jet --- deep underground min --- IoT devices --- smartphone --- gas hazards --- Industry 4.0 in mining --- ball mills --- energy efficiency --- internal dynamics --- DEM model --- resonance oscillations --- measurements --- drilling rig --- process monitoring --- operational cycles --- sound measurement --- electric current acquisition --- threshold-based segmentation --- envelope spectrum --- safety function --- electro-hydraulic control system --- powered roof support --- textile conveyor belts --- multiply conveyor belts --- multiply belt splices --- laboratory splice tests --- fluid coupling --- ball mill --- electric motor --- drive system --- grinding --- energetic efficiency --- surface mining --- mining equipment --- multiple criteria decision making (MCDM) --- ELECTRE III --- thermal imaging --- belt conveyor --- diagnostics --- mechanical failure --- preventative maintenance --- well reamer --- rock mass --- intensification of production --- nonlinear law --- completion of wells --- innovative technology --- UAV --- acoustic signal processing --- Euclidean distance --- underground mine --- search and rescue --- drilling --- pipe --- drill bit --- manufacturing error --- material --- model --- elastic modulus --- computational fluid dynamics --- numerical model geometry --- laser scanning --- machine diagnostics --- LHD --- engine oil pressure data --- oil pump wear --- statistical analysis --- convergence functions --- numerical modeling --- high horizontal stress --- excavations stability assessment --- mobile laser scanning --- Velodyne LiDAR --- Riegl scanning system --- open pit mine --- underground laboratory --- new ways of mine reclamation --- sustainability --- circular economy --- radar interferometry --- subsidence trough --- automatic detection --- mathematical morphology --- n/a --- Waddawalla / Well 40 (Great Sandy Desert WA SF51-08)

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In the current competitive scenario, the banking industry must contend with multiple challenges tied to regulations, legacy systems, disruptive models/technologies, new competitors, and a restive customer base, while simultaneously pursuing new strategies for sustainable growth. Banking institutions that can address these emerging challenges and opportunities to effectively balance long-term goals with short-term performance pressures could be aptly rewarded. This book comprises a selection of papers addressing some of these relevant issues concerning the current challenges and opportunities for international banking institutions. Papers in this collection focus on the digital transformation of the banking industry and its effect on sustainability, the emergence of new competitors such as FinTech companies, the role of mobile banking in the industry, the connections between sustainability and financial performance, and other general sustainability and corporate social responsibility (CSR) topics related to the banking industry. The book is a Special Issue of the MDPI journal Sustainability, which has been sponsored by the Santander Financial Institute (SANFI), a Spanish research and training institution created as a collaboration between Santander Bank and the University of Cantabria. SANFI works to identify, develop, support, and promote knowledge, study, talent, and innovation in the financial sector.

stimulus-response model --- utilitarian value --- Hedonic value --- salesperson selling behaviors --- customer satisfaction --- loan expansion --- GDP --- NPL --- ARDL --- VECM --- Johansen test of co-integration --- unit root --- non-performing loans --- sovereign debt distress --- tail dependence --- gaussian copula regression --- mobile financial services (MFS) --- trust --- perceived risk --- structural equation modeling (SEM) --- multiple-criteria decision-making (MCDM) --- technique for order preference by similarity to ideal solution (TOPSIS) --- analytic hierarchy process (AHP) --- data envelopment analysis --- commercial banks --- product innovation --- performance evaluation --- innovation risk --- digital financial inclusion --- risk-coping ability --- vulnerability to poverty --- instrumental variable estimation --- emotional intelligence --- work-family conflict --- job burnout --- employees’ turnover intention --- perceived organizational support --- the Vietnamese banking industry --- stochastic DEA --- multi-attribute decision making --- ordinal variable --- cross-efficiency --- corporate social responsibility disclosure (CSRD) --- financial performance --- Islamic Banking Industry of Pakistan --- GRI --- AAOIFI --- CSRD index --- cost of equity --- IFRS adoption --- European banks --- corporate governance --- banking regulation --- CSP–CFP relationship --- banking sustainability --- glass ceiling --- board composition --- equal opportunity policy --- CSR --- communication --- discourse --- exposition --- narrative --- storytelling --- banking --- catering --- utilitarian service --- hedonic service --- sustainable finance --- sustainable financial products --- sustainable banking --- SDGs --- sustainable development --- Latin America --- ESG. --- digital transformation --- knowledge management --- digital government --- public sector --- public administration --- peer-to-peer lending --- bank risk --- insolvency risk --- illiquidity risk --- financial inclusion --- vulnerable rural areas --- sustainable solutions --- central bank digital currency --- social sustainability --- pharmacy network --- sustainable access to cash --- nonperforming loans --- macroeconomic factors --- econometric model --- exchange rate --- unemployment rate --- inflation rate --- MoM(micro-operating mechanism) --- regulatory sandbox --- fintech --- type by enterprise --- innovation competencies --- patents data --- evidence-based policy --- European financial services --- SMEs --- nonfinancial information --- sustainable reporting --- disclosure --- lexical analysis --- nonfinancial reporting --- dynamic provisioning --- macroprudential supervision --- counter-cyclical adjustment --- innovative solution --- mobile banking --- Nigeria --- sub-Saharan Africa (SSA) --- qualitative meta-synthesis (QMS) --- banking industry --- value in use approach --- FinTech innovation --- valuation --- patent application --- market power --- efficiency --- profitability --- risk --- CBDC --- digital currency --- bank run --- central bank --- economic sustainability --- organizational ambidexterity --- blended ambidexterity --- innovation process --- buy-now-pay-later --- regulatory failure --- regulation --- consumer behaviour --- bank --- barriers --- digitalisation --- management --- perception --- transformation --- social media --- admiration --- consumer loyalty --- sustainability