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Research background: Corporate governance plays an important role in companies’ financial performance and its true importance and relevance are revealed during an economic shock, such as the COVID-19 pandemic. In the past, research regarding corporate governance and financial variables focused solely on performance variables such as Tobin’s Q and ROA. This assessment completely ignores that corporate governance principles have a broader implication on financial variables than only performance.

SEPA - Single Euro Payments Area (Jednotná oblasť platieb v eurách) je oblasť, kde spotrebitelia, podniky a ďalšie ekonomické subjekty môžu realizovať a prijímať platby v eurách v rámci Európy podľa rovnakých základných podmienok, práv a povinností bez ohľadu na to, v ktorom členskom štáte sa nachádzajú. Cieľom projektu SEPA je užšia európska integrácia a vytvorenie konkurenčného európskeho platobného trhu, ktorý môže priniesť vyššiu úroveň služieb, produktov a lacnejšie uskutočňovanie platieb. SEPA umožňuje zákazníkom realizovať bezhotovostné platby v eurách s ktorýmkoľvek účastníkom európskej oblasti pri použití jedného bankového účtu a jedného súboru platobných nástrojov. Všetky bežné platby v eurách sa stávajú „domácimi“ a stráca sa tak rozdiel medzi národnými a cezhraničnými platbami v euro oblasti.

The objective of this paper is to systematically review remote sensing data fusion techniques, autonomous vehicle driving perception algorithms, and mobility simulation tools in smart transportation systems. The findings and analyses highlight that visual perception algorithms, sensing and computing technologies, and route planning and control tools configure networked digital infrastructures. Throughout March 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including "smart transportation systems" + "remote sensing data fusion techniques," "autonomous vehicle driving perception algorithms," and "mobility simulation tools." As research published between 2019 and 2022 was inspected, only 92 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 15 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR. [ABSTRACT FROM AUTHOR]

The purpose of this study was to empirically examine Industry 4.0 manufacturing systems. Building our argument by drawing on data collected from BCG, Capgemini, Deloitte, McKinsey, PwC, SME, and Software AG, we performed analyses and made estimates regarding networked, smart, and responsive devices. The structural equation modeling technique was used to test the research model. [ABSTRACT FROM AUTHOR]

This article presents an empirical study carried out to evaluate and analyze sustainable Industry 4.0. Building our argument by drawing on data collected from Capgemini, Deloitte, McKinsey, MHI, we.CONECT, and World Economic Forum, we performed analyses and made estimates regarding the relationship between product decision-making information systems, real-time big data analytics, and deep learning-enabled smart process planning. Data collected from 4,600 respondents are tested against the research model by using structural equation modeling. [ABSTRACT FROM AUTHOR]

We develop a conceptual framework based on a systematic and comprehensive literature review on addictive smartphone behavior. Building our argument by drawing on data collected from AARP, BankMyCell, Insights West & iamota, MarketingCharts, Northpoint Washington, Pew Research Center, SlickText, Tech Jury, and Tiger Mobiles, we performed analyses and made estimates regarding anxiety symptom severity and depressive stress in relation to problematic smartphone use. The data for this research were gathered via an online survey questionnaire and were analyzed through structural equation modeling on a sample of 4,200 respondents. [ABSTRACT FROM AUTHOR]