Port strategy and performance: empirical evidence from major container ports and implications for role of data analytics

Container ports operate in more challenging and volatile environments at present times. Events such as US-China trade tensions and the COVID-19 pandemic severely affect numerous container ports at various levels. Strategies pursued by container ports are key to port development and management amidst these challenges. Drawing on configuration theory, this research employs Fuzzy-set Qualitative Comparative Analysis to investigate the relation between port strategies and container throughput. The research contributes to the literature by proposing an approach to account for complexity of the port sector and offers insights into strategies adopted by major container ports. The research further identifies 10 port strategies and proposed indicators that can represent the essence of these strategies. Being able to represent strategies in a quantitative format is important for strategy analysis and performance evaluation. Results reveal that major container ports employ a combination of strategies which address both the supply and demand-side aspects of the port business. Growing digitalization and digitization coupled with advancements in information capture, diagnostics capabilities and predictive abilities means a greater role for data analytics to influence container port strategy and performance. Implications for port managers, policy makers and researchers from the perspective of port policy and management are proposed.

The Impact of Disadvantage on Higher Education Engagement during Different Delivery Modes: A Pre- versus Peri-Pandemic Comparison of Learning Analytics Data

The pandemic forced many education providers to pivot rapidly their models of education to increased online provision, raising concerns that this may accentuate effects of digital poverty on education. Digital footprints created by learning analytics systems contain a wealth of information about student engagement. Combining these data with student demographics can provide significant insights into the behaviours of different groups. Here we present a comparison of students' data from disadvantaged versus non-disadvantaged backgrounds on four different engagement measures. Our results showed some indications of effects of disadvantage on student engagement in a UK university, but with differential effects for asynchronously versus synchronously delivered digital material. Pre-pandemic, students from disadvantaged backgrounds attended more live teaching, watched more pre-recorded lectures, and checked out more library books than students from non-disadvantaged backgrounds. Peri-pandemic, where teaching was almost entirely online, these differences either disappeared (attendance and library book checkouts), or even reversed such that disadvantaged students viewed significantly fewer pre-recorded lectures. These findings have important implications for future research on student engagement and for institutions wishing to provide equitable opportunities to their students, both peri- and post-pandemic.

Comparative Financial Performance Analysis of Farmer Producer Companies in Eastern Uttar Pradesh

Farmer Producer Companies are emerging as an innovative model to transform agriculture into a profitable business venture by leveraging the collectives of small and marginal farmers through economies of scale with better bargaining power, better value addition facilities, better access to farming technologies, better input supply, and better market accessibility. Financial performance indicates the financial health and resource utilization efficiency of a business organization or a company over a certain period. In the present study, a comparative analysis of balance sheets and income statements was made for five different Farmer Producer Companies of Eastern Uttar Pradesh to identify the pattern of change in various financial components from 2019-20 to 2020-21. Based on the analysis, the important findings were that reserve and surpluses were significantly increased for most of the FPCs for future business expansion, three FPCs reported increased total liabilities, and all of the FPCs managed to grow their total assets compared to the previous year. The revenue growth rate for three FPCs was below par. The performance of the FPCs in respective to net profit after tax was asymmetric. Out of five, only four FPCs were able to meet all the operational expenses from the revenue generated out of business activities and hence, considered profit-making. Moreover, the overall financial performance of the FPCs was disrupted due to the wrath of the Covid-19 pandemic. © Economic Affairs (New Delhi).All rights reserved

Differences in the Intensity and the Nature of Foreign Language Anxiety in In-Person and Online EFL Classes during the Pandemic: A Mixed-Methods Study

This paper explores differences in 437 learners' "foreign language classroom anxiety" (FLCA) in in-person and online English as a Foreign Language (EFL) classes before the outbreak of the pandemic and during the first lockdown in spring 2020. Statistical analyses of data gathered with a web survey revealed a slight, yet significant drop in learners' overall FLCA in "emergency remote teaching." In order to obtain a more granular view, item-level analyses revealed that learners in online classes were significantly less worried about being outperformed by peers, suffered less from physical symptoms of anxiety when called on in class, and were less anxious when they were in fact well-prepared. Feeling embarrassed to volunteer answers was significantly higher in online classes. Interviews with 21 participants revealed that the interviewees mentioned anxiety-provoking aspects of the class considerably more frequently online than in in-person classes. However, the sources of anxiety in online classes differed from the ones in classes taught on-site. Thus, it seems that the newness of the setting foregrounded anxiety-provoking aspects specific to emergency remote teaching, making others fade into the background at the beginning of the pandemic.

Comparative Analysis of Different Systematic Odometry Error Correction Methods on a Differential Drive Indoor Service Robot

The COVID-19 pandemic has led to a surge of interest in research work involving the development of robotic systems that reduce human-to-human interaction, as such a technology can greatly benefit healthcare industries in preventing the spread of highly infectious diseases. An indoor service robot is built and equipped with wheel odometry and a 2D LiDAR. However, the presence of the systematic odometry errors is evident during field testing. Hence, the possibility of minimizing systematic odometry errors is inspected using various methods of calculation, namely: UMBmark, Lee's and Jung's. The methods all use the Bidirectional Square Path test, performed together with ROS. It is found that Jung's method is the most appropriate method showing a 20.4% improvement compared to the uncalibrated dead reckoning accuracy. Moreover, it is found that the presence of slippage, a nonsystematic error, greatly affects the return position errors of the robot. Consequently, it is recommended to improve the design of the wheelbase to minimize the effects of nonsystematic errors. © 2022 IEEE.

Relevance of social capital in preserving subjective well‐being in the face of the COVID‐19 pandemic

This paper analyzes the changes in subjective well‐being (SWB) in 11 Latin American cities at the end of the acceleration phase of the COVID‐19 pandemic, the variables that influenced these changes, and the role of the public support policies and the social capital on SWB recovery. This study, the second of a two‐phase research project, is a survey‐based comparative analysis. The 5604 survey responses obtained included 3279 observations from the research project's preceding phase, and 2325 observations conducted as part of the second project phase and current study. A multivariate linear regression model was used to evaluate the impact of the different variables related to COVID‐19 on people's SWB. Results show that the most significant positive impacts on SWB, are attributed to social capital, particularly family and social cohesion. The study confirms that the level of SWB is strongly associated with personality traits, health, and key variables such as age, marital status, and income. The different measures established to control the pandemic have not remedied the negative impacts of COVID‐19 on people's SWB. However, an increase in different degrees of SWB was observed in 10 out of the 11 cities between the initial survey and the follow‐up survey.Alternate :本文分析了11个拉丁美洲城市在2019冠状病毒病（COVID‐19）大流行加速阶段结束时的主观幸福感（SWB）变化、影响SWB变化的变量、以及公共支持政策和社会资本对SWB恢复发挥的作用。本研究是一项由两阶段组成的研究课题的第二阶段——一项基于调查的比较分析。获得的5,604份调查回复包括来自研究课题第一阶段的3,279次观察，以及课题第二阶段（本研究）进行的2,325次观察。使用多元线性回归模型评价与COVID‐19相关的不同变量对人民SWB产生的影响。结果表明，对SWB产生最显著积极影响的变量为社会资本，特别是家庭和社会凝聚力。本研究证实，SWB水平与人格特征、健康状况、以及年龄、婚姻状况和收入等关键变量强烈相关。为控制大流行而制定的不同措施并没有弥补COVID‐19对人民SWB产生的负面影响。不过，从初次调查到后续调查的期间，11个城市中有10个城市的SWB出现了不同程度的上升。Alternate :RESUMENEste artículo analiza los cambios en el bienestar subjetivo en 11 ciudades de América Latina al final de la fase de aceleración de la pandemia de COVID‐19, las variables que influyeron en estos cambios y el papel de las políticas públicas de apoyo y el capital social en la recuperación del bienestar subjetivo.Este estudio, el segundo de un proyecto de investigación de dos fases, es un análisis comparativo basado en encuestas. Las 5605 encuestas respondidas incluyeron 3279 observaciones de la fase anterior del proyecto de investigación y 2325 observaciones realizadas como parte de la segunda fase del proyecto y el estudio actual. Se utilizó un modelo de regresión lineal multivariado para evaluar el impacto de las diferentes variables relacionadas con COVID‐19 en el bienestar subjetivo de las personas.Los resultados muestran que los impactos positivos más significativos en el bienestar subjetivo se atribuyen al capital social, particularmente a la cohesión familiar y social. El estudio confirma que el nivel de bienestar subjetivo está fuertemente asociado con los rasgos de personalidad, la salud y variables clave como la edad, el estado civil y los ingresos. Las diferentes medidas establecidas para el control de la pandemia no han subsanado los impactos negativos del COVID‐19 en el bienestar subjetivo de las personas. Sin embargo, se observó un aumento en diferentes grados de bienestar subjetivo en 10 de las 11 ciudades entre la encuesta inicial y la encuesta de seguimiento.

Revisiting the marketing approach between seaports and dry ports in Malaysia: current trend and strategy for improvement

Purpose This paper aims to explore the comparative analysis of marketing strategies between seaports and dry ports. Second, this paper proposes a recommendation to improve marketing approaches in both nodes.Design/methodology/approach This research analyzes current marketing approaches to improve the freight volume and enhance interrelation between them for a comprehensive collaboration in the freight supply chain. This research employed semi-structured interviews via an e-interview questionnaire.Findings The result shows that dry port and seaport practice a mixed marketing strategy. Some marketing elements that a seaport applies are also applied by a dry port, like focusing on the target customer, joining exhibitions and face-to-face meetings. Customized service to clients, frequent discussion on the effective marketing plans and increasing the facilities at the seaport and dry ports can improve the marketing strategies in dry port and seaports.Originality/value Seaports are the critical components in esteem-driven context, which add to supply chains by creating value-added services in the transport chain. Nonetheless, research between dry ports and seaports has increasingly drawn the attention of scholars during the last decade. Having said like that, there have not been any pragmatic studies undertaken in the Malaysian context that mainly discusses the marketing prospect of the dry ports and seaports especially during COVID-19 outbreak.

An Interpretable Fake News Detection Method Based on Commonsense Knowledge Graph

Existing deep learning-based methods for detecting fake news are uninterpretable, and they do not use external knowledge related to the news. As a result, the authors of the paper propose a graph matching-based approach combined with external knowledge to detect fake news. The approach focuses on extracting commonsense knowledge from news texts through knowledge extraction, extracting background knowledge related to news content from a commonsense knowledge graph through entity extraction and entity disambiguation, using external knowledge as evidence for news identification, and interpreting the final identification results through such evidence. To achieve the identification of fake news containing commonsense errors, the algorithm uses random walks graph matching and compares the commonsense knowledge embedded in the news content with the relevant external knowledge in the commonsense knowledge graph. The news is then discriminated as true or false based on the results of the comparative analysis. From the experimental results, the method can achieve 91.07%, 85.00%, and 89.47% accuracy, precision, and recall rates, respectively, in the task of identifying fake news containing commonsense errors.

Comparison of Knowledge and Practices among University Students of Allied Health Sciences and Engineering Departments in University of Lahore, Pakistan about Corona Virus Disease

Background: Corona Viruses is a group of viruses that cause diseases in both humans and mammals and are known to cause chronic respiratory diseases. The viruses among them include SARS, MERS and COVID-19. The most recent pandemic was a result of COVID-19. Older people and those with underlying medical problems are more likely to develop serious illness. Objective(s): To compare the knowledge and practices of Allied Health and Engineering students of the University of Lahore about Corona Virus Disease. Methodology: A cross-sectional questionnaire based survey was conducted on 326 students studying in Allied health Sciences and Engineering departments of UOL. The data was compiled in SPSS, version 24 for analysis. Result(s): The students of Allied Health Sciences had a better understanding and were more aware of COVID-19, its percussions and the methods to prevent its spread than of the Engineering Students. More than half of the Engineering students have found to have less understanding about the causative agent of the COVID-19 and similar trend was found in other categories. Health sciences students showed higher tendency towards hands hygiene practices than engineering students. Practical implication: Lessons learned from different outbreaks of infectious diseases suggested that knowledge and practices towards infectious diseases are associated with level of panic emotion among the population, which can further complicate attempts to prevent the spread of the disease. To facilitate outbreak management of COVID-19 in Lahore, Pakistan, there is an urgent need to understand the public's awareness of COVID-19. Keeping these considerations in mind this research was kicked-off to gauge the knowledge and practices of these medical and engineering students about Corona virus disease. Conclusion(s): The study shows that educational background plays a vital role in disease control and it will help in successful uptake of control interventions for prevention of COVID-19.Copyright © 2023 Lahore Medical And Dental College. All rights reserved.

FREQUENCY OF VACCINE-RELATED ADVERSE EVENTS IN PATIENTS WITH RHEUMATIC DISEASE

BackgroundPatients with rheumatic diseases are at greater risk of developing serious infections due to dysregulation of the immune system and the use of immunosuppressants1. Therefore, preventing infection is crucial, with vaccination being the most important primary prevention intervention, leading to a lower rate of hospital admissions due to infections. However, vaccine hesitancy among persons with rheumatic diseases is widespread due to concerns regarding the safety of vaccines2.ObjectivesDescribe the frequency of adverse events associated with vaccination in patients with rheumatic diseases.MethodsObservational, descriptive, cross-sectional and retrospective study was carried out in patients with rheumatic diseases from the Rheumatology Department of the Hospital Regional 1° de Octubre ISSSTE, from February to May 2022;it included patients over 18 years of age with an established diagnosis of rheumatic disease who had received a vaccine;the researcher applied the vaccine-associated adverse events survey to those patients who agreed to participate by signing the informed consent. The sample size was of 95 patients. Descriptive statistics and summary measures were employed for analysis. We used the chi-square test or Fisher's exact test (when <5) for the comparative analysis of the frequencies of nominal qualitative variables. P<0.05 was considered significant.ResultsThe survey was applied to 115 patients. 85.2% were women;mean age 57.9 years;61.7% had rheumatoid arthritis (RA), followed by systemic lupus erythematosus (SLE) in 13.9%. 55.6% of the patients were treated with steroids, 52.2% received bDMARDs and 48.7% csDMARDs. Patients received various vaccines, of which the most frequent was the one for COVID-19, with 99.1% of included patients having received at least one dose, followed by influenza in 30.4%. 78% of the patients who received at least one dose of a vaccine against COVID-19 presented ≥1 adverse events. The disease in which the highest frequency of adverse events occurred was RA, without this difference being statistically significant (Table 1). The adverse events according to the type of COVID-19 vaccine were the following: Sputnik-V 80%, Pfizer 76.6% and AstraZeneca 76.1%, without statistically significant difference between vaccine types. The most frequently occurring adverse events were injection site pain (80.1%), headache (30.7%), and fatigue (30.7%);In addition, the main vaccine-associated musculoskeletal symptoms were joint pain, myalgia, and morning joint stiffness (Figure 1), which on most cases improved after a NSAID use. Joint pain was more frequent after the second dose of certain vaccine types.Table 1.Frequency of AE after COVID-19 vaccination in patients according to disease.AE (%)pRA560.790SLE140.326Spondyloarthritis40.068Osteoarthritis60.614ConclusionVaccination-associated AE occurred more frequently than reported in international studies;however, they were not more serious. Providing this information to patients is important to improve vaccine acceptance. In addition, the administration of NSAID after the application of the vaccine could be proposed to reduce the presence of side effects.References[1]Rotondo, Cinzia, et. al. Preliminary Data on Post Market Safety Profiles of COVID 19 Vaccines in Rheumatic Diseases: Assessments on Various Vaccines in Use, Different Rheumatic Disease Subtypes, and Immunosuppressive Therapies: A Two-Centers Study. Vaccines, 2021;9(7):730-440.[2]Furer, Victoria, et. al. 2019 update of EULAR recommendations for vaccination in adult patients with autoimmune inflammatory rheumatic diseases. Ann Rheum Dis 2020;79:39–52.AcknowledgementsTo the residents and staff at HR 1 Octubre for their help in compilating data.Disclosure of InterestsDaniel Xavier Xibille Friedmann Speakers bureau: GSK, Lilly, UCB, Paid instructor for: GSK, Lilly, UCB, Consultant of: GSK, Lilly, UCB, Vanessa Balderas Reyes: None declared, María Olvera: None declared, María Alcocer León: None declared, ALFREDO ALEXANDRI REYES SALINAS Paid instructor for: Abbvie, Janssen, ovartis, Minerva Rodríguez Falcón: None declared, Sandra Miriam Carrillo Vazquez Speakers bureau: Abbvie, Janssen, UCB, Paid instructor for: Abbvie, Janssen, UCB, Consultant of: Abbvie, Janssen, UCB.

Anxio-depressive disorders in a pandemic context: A comparative analysis: year 2019 versus 2020

The outbreak of SARS-CoV-2 pandemic has resulted in increased rates of anxiety and depression worldwide. Objective. To comparatively evaluate factors associated with the psychological impact of Coronavirus disease between 2019 and the pandemic year 2020. Materials and Methods. The study was performed on a group of 3224 patients, of which 197 were hospitalized, selected from Jan 1st 2019 until 30th Dec 2020 in a tertiary care center for psychiatric disorders. Data were collected from the observation charts. Results. The incidence of anxiety disorders is higher in the age range 40-70 years with an average value of 53 years old. In 2019, a third of patients (29,45%) had alcohol-related conditions and developed anxiety-depressive disorder. In 2020, the percentage was lower (9.38%), but also the number of admitted patients significantly decreased (p<0.0001). There were not found significant differences in age, gender or environment. Hypnotic disorders were more predominant in 2019 (54.6% vs 37.5%, p=0.01), whereas in 2020 anxiety and agitation increased significantly (34.4% vs 84.38%, p=0.0001). Relapses were similarly frequent in both years, in half of the cases. Conclusions. Coronavirus pandemic lead to a decrease in both presentations and admission to hospital. Although there were not found significant differences in age or gender, more patients from urban environment were admitted, which can have several explanations. Anxiety and agitation became the main reason for hospitalization in 2020.

How does social responsibility investment strategy contribute to hospitality firms' recovery from public health emergencies? The case of COVID-19 pandemic.

Using fuzzy-set qualitative comparative analysis, this paper explores which configurations of six dimensions of hospitality firms' corporate social responsibility (CSR) result in higher (or lower) levels of total factor productivity. We demonstrate that different categories of stakeholders and hospitality firms' dynamic capabilities complement each other under the framework of configurational theory. The result shows that: 1) The CSR dimensions of product quality, CSR communication, and environmental protection are critical to high levels of firm performance; 2) After the pandemic, hospitality firms should make investment in CSR communication and environmental protection a priority; 3) Hospitality firms' choice to invest in a specific combination of dimensions of CSR practice should depend on their overall level of corporate governance (high or low). This paper contributes to the strategic management and corporate governance literature by identifying the role of hospitality firms' governance on the linkage between CSR investment strategy and firm performance.

Path dependence or steps for major reforms? Pandemic-related social protection measures in ten OECD countries

This article examines with empirical evidence the social protection measures implemented in response to the COVID-19 pandemic in ten welfare states in the Global North. We analysed the potential similarities and differences in responses by welfare regimes. The comparative study was conducted with data from 169 measures, collected from domestic sources as well as from COVID-19 response databases and reports. In qualitative terms, we redeveloped Hall's theory on the distinction between first-, second- and third-order changes. In accordance with the path-dependence thesis, we show systematically that the majority of the studied changes (91%) relied on a pre-pandemic tool demonstrating flexibility within social security systems. The relative share of completely new instruments was notable but modest (9%). Thematically, the social protection measures converged beyond traditional welfare regimes, particularly among the European welfare states. Somewhat surprisingly, the changes to social security systems related not just to emergency aid to mitigate traditional risks but, to a greater extent, also to prevent new risks from being actualised.

Factors Affecting Decision to Adopt Artificial Intelligence During COVID-19 Pandemic Period: Evidence from PLS-SEM and fsQCA

The study investigated the factors influencing the demand for Artificial Intelligence (AI) applications in Vietnam from the perspective of Accounting and Auditing. The data was gathered using a quantitative technique based on questionnaires to study a total of 206 accountants and auditors, and was analysed using the PLS-SEM method to determine influential factors and their relationships. In addition, we compare the PLS-SEM results with a recently established approach of panel data fuzzy-set qualitative comparative analysis (fsQCA). The results reveal that the components of finance, tasks, technology, epidemics, knowledge readiness and trust all have a favourable impact on the use of AI in Accounting and Auditing in Vietnam. Besides, the fsQCA results are consistent with the PLS-SEM method, which means that our findings are robust and valid. This study adds empirical evidence to the scientific literature on AI in Accounting and Auditing, which will be immensely beneficial for legislators and businesses looking to improve company efficiency. Besides, applying the fsQCA approach contributes significantly to the existing literature about the research method. © 2023 MDI.

How value drivers of internet medical business model affect value creation: a configurational approach

PurposeThis paper aims to investigate how value drivers of internet medical business model affect value creation through a configurational approach. The internet medical business model (IMBM) is such a business model that integrates online and offline medical services with the driving force of internet technologies covering prediagnosis, in-diagnosis and postdiagnosis. The outbreak of COVID-19 and the support of national policies have boosted the development of internet health care. However, there are still many challenges in practice, such as the unclear innovation path, as well as difficulties in landing and profiting. Academic research has not yet provided sufficient theoretical insights. Therefore, to better explain and guide practice, it is urgent to clarify the innovation path and mechanism of value creation for IMBM. Design/methodology/approachBased on the sample of 58 internet medical firms in China, this paper adopts fuzzy-set qualitative comparative analysis (fsQCA) to explore the configurational effects of IMBM's value drivers on value creation. FindingsBuilding on the business model canvas and the characteristics of internet health care, five value drivers of IMBM are identified, namely, functional value proposition, emotional value proposition, user involvement, resource capabilities and connection properties. And the five value drivers form three configurations, which are, respectively, labeled as resource-driven configuration, user-operated configuration and product-combined configuration. From the perspective of the integration of traditional and emerging theories, such as resource-based view, internet economics and value cocreation, each configuration leads to value creation and improves value results with different mechanisms behind it. Originality/valueFirst, combined with the business model canvas and the characteristics of internet health care, this paper identifies five value drivers of IMBM, thus improving the relevant research on internet health care. Second, based on the configurational effects, this paper discusses the mechanism behind the configurational effects of IMBM's value drivers on value creation, thus expanding relevant research on the value creation of business models. Third, applying fsQCA and combining the advantages of qualitative research and quantitative research, this paper adds to the configurations of IMBM's value drivers that achieve high-value results.

Innovation and internationalisation during times of economic growth, crisis, and recovery prior to Covid-19: A configurational approach comparing Spanish manufacturing family and non-family firms

Based primarily on the Resource-Based View and prior evidence, this study gauges the potential differences in innovative behaviour between international family firms and non-family firms when conditions change drastically in the business environment (i.e. from a situation of economic growth to one of downturn, and then to recovery). The research setting is a large sample of Spanish manufacturing firms between 2007 and 2016 (i.e. pre-Covid-19). During this period (2009-2013), the global economic and financial crisis affected Spain. Thus, three sub-periods are distinguished in the empirical analysis: growth, crisis, and recovery. Using Qualitative Comparative Analysis, our findings show that the paths of innovation activities that promote internationalisation via exporting in family and non-family firms are somewhat dissimilar in each sub-period, supporting the argument that the causal effect of innovation on internationalisation is heavily dependent on environmental conditions. Compared to non-family firms, our results show that when family firms internationalise, they follow a wide variety and more stable number of paths in innovation activities. Our findings also provide additional evidence to support the argument of heterogeneity among family firms.

EKONOMICZNE, SPOŁECZNE I POLITYCZNE ASPEKTY KRYZYSU PANDEMICZNEGO W POLSKIM FUTBOLU. ANALIZA SOCJOLOGICZNA

Celem artykułu jest zaprezentowanie najważniejszych wniosków z kryzysu w polskiej piłce nożnej wywołanego przez pandemię COVID-19. W badaniu dokonano jakościowej analizy treści materiałów prasowych opisujących doniesienia dotyczące futbolu oraz przeprowadzono wywiady pogłębione w wariancie eksperckim z osobami pełniącymi ważne funkcje w środowisku zawodowej piłki nożnej. Wyniki analizy pokazują niespotykaną od dekad skalę negatywnych konsekwencji dla całego ekosystemu piłkarskiego. Najważniejsze z nich obejmowały kwestie: bezpośredniego zagrożenia zdrowia, ekonomii (widmo krachu na rynku piłkarskim), trudności organizacyjno-formalnych oraz wątpliwości wobec politycznego zaangażowania w proces przywrócenia futbolu. Szybkie i zakończone sukcesem wdrożenie planu odmrażania polskiej piłki nożnej ostatecznie uchroniło najważniejszych interesariuszy przed urzeczywistnieniem się najbardziej pesymistycznych scenariuszy (np. niewydolności finansowej i bankructw).Alternate :The paper aims to present the key conclusions from the crisis in Polish football caused by the COVID-19 pandemic. The study is based on desk research and secondary data analysis: content analysis in media (press article's comparative analysis) and semi-structured interviews (conducted with experts with representatives of Polish football community). The results show an unprecedented scale of negative consequences for the entire football ecosystem. Those included health threat, economic problems, organizational difficulties, and ambiguous political involvement in the process of restoring football. The quick restart of the Polish football protected the most important stakeholders from the worst-case scenarios (e.g., bankruptcies) coming true.

Několik statisticko-analytických poznámek k charakteru krize 2020-2021

The present work is based on a hypothesis that the Czech economy was showing signs of economic deceleration and a potential slump into deeper growth problems way before the outbreak of the COVID-19 pandemic, i.e., at least in the year 2019. However, the present text does not intend to thoroughly confirm this hypothesis because in order to do so, a longer timeline of key economic indicators needs to be analysed. What it does present is at least a partial argumentation supporting the abovementioned hypothesis and some basic calculations. It proposes two ways towards its confirmation. The first one is a comparative analysis of individual - especially European - economies' response to subsiding external influences, i.e., to the weakening of the effects of the pandemic on the economy. The second way is at least a partial analysis of key macroeconomic indicators from the time before and during the pandemic, with an emphasis on detectable divergences in the development. The conclusion of our research is the finding that as early as in 2019, the Czech economy was showing signs of imminent deceleration of growth, which would probably have turned into stagnation and possibly a certain decrease in economic activity. The conclusions indicate that the reason behind such development was a massive but in fact little effective investment activity in the Czech economic environment, which is historically related to the structure of the economy and to the position of the Czech industrial sector in supplier relationships. Two related phenomena arise from that: firstly, a relatively low labour productivity, with producers domiciled in the Czech Republic reaching quite a low volume of value added, and secondly a massive capital outflow in the form of profits paid to parent companies abroad. The final part of the paper outlines some potentially effective steps which might lead - under favourable circumstances - to restructuring processes in the Czech economy. Due to the date of finishing the research, the paper does not include the consequences of the War in Ukraine.

Symmetrical and Asymmetrical Modeling: Applying Vitae Researchers' Development Framework through the Lens of Web 2.0 Technologies for Vocational-Health Education Researchers

Background and Purpose: The development of research knowledge, skills, and attitudes among postgraduate vocational-health education students is a crucial outcome of their degree program. This study focuses on the research competences of vocational-health education students and their use of web 2.0 technologies to enhance research productivity. The study employs the Vitae Researcher Development Framework (RDF) and examines the use of web 2.0 technologies. Method: The study surveyed 390 postgraduate vocational-health education students enrolled in universities in Pakistan. Of the participants, 50.5% were male, 49.5% were female, 45.1% were from private universities, and 54.9% were from public sector universities. Moreover, 68.2% were Master's students, while 31.8% were doctoral students. The data were analyzed through both symmetrical and asymmetrical modeling techniques, including Partial least square equation modeling (PLS-SEM) and fuzzy set Qualitative Comparative Analysis (fsQCA), to measure the direct and indirect specific relationships among the constructs. Results: The results confirmed that research competences and web 2.0 technologies have a direct effect on research productivity. Furthermore, the results revealed that web 2.0 technologies mediate in the relationship between research competences and research productivity. Conclusions: The study concludes that research competences and web 2.0 technologies predict research productivity. Additionally, web 2.0 technologies have an intervening role in the relationship between research competences and research productivity during the COVID-19 pandemic emergency. Implications: This study highlights the broader implications for health education policymakers and institutions to include web 2.0 technologies in their development plans. Future studies can develop web 2.0-based instructional strategies for the professional development of advanced vocational-health education researchers. Originality: This study contributes to the knowledge of research competences, web 2.0 technologies, and research productivity for vocational-health education researchers.

Adoption factors in digital lending services offered by FinTech lenders

Research background: Traditional financial institutions are facing new competitors - FinTech lenders. The development of these entities and their services depends on many factors, including the level of their acceptance and use by potential and/or current customers. This acceptance determines the ability to create desired financial results and defines the set of FinTech lenders' activities and also their environment aimed at shaping the offer which meets their consumers' expectations. The limited number of studies addressing the identification and assessment of the impact exerted by the adoption factors of lending services offered by FinTech lenders and the lack of such analyzes relating to these decisions made by consumers from Central and Eastern Europe argue for the need to conduct such research. Purpose of the article: Identify factors driving consumers' adoption of digital lending services offered by FinTech lenders in Poland. Methods: Critical analysis of the source literature, descriptive and comparative analysis, diagnostic survey, econometric methods (PCA, SEM used in the TAM). Empirical data come from the surveys carried out in May 2022 using the CAWI method and covering a representative sample of 1,000 Poles. Findings & value added: The study identified factors driving consumers' adoption of digital lending services, including perceived trust, risk, usefulness and financial health. It has been proven that the perceived ease of use and innovation do not represent the statistically significant constructs influencing the accepted adoption attitudes. The adopted research model shows a considerable power to explain the intention of using digital loans. The article is the first scientific study of this type discussing the identification of adoption factors for loan services offered by FinTech lenders operating on the Central and Eastern European market. The presented example of Poland being the leader in this dynamically developing market provides the background for conducting international comparative studies in the future.