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At the beginning of the 21st century, multiple and diverse social entities, including the public (consumers), private and nonprofit healthcare institutions, government (public health) and other industry sectors, began to recognize the limitations of the current fragmented healthcare system paradigm. Primary stakeholders, including employers, insurance companies, and healthcare professional organizations, also voiced dissatisfaction with unacceptable health outcomes and rising costs. Grand challenges and wicked problems threatened the viability of the health sector. American health systems responded with innovations and advances in healthcare delivery frameworks that encouraged shifts from intra- and inter-sector arrangements to multi-sector, lasting relationships that emphasized patient centrality along with long-term commitments to sustainability and accountability. This pathway, leading to a population health approach, also generated the need for transformative business models. The coproduction of health framework, with its emphasis on cross-sector alignments, nontraditional partner relationships, sustainable missions, and accountability capable of yielding return on investments, has emerged as a unique strategy for facing disruptive threats and challenges from nonhealth sector corporations. This chapter presents a coproduction of health framework, goals and criteria, examples of boundary spanning network alliance models, and operational (integrator, convener, aggregator) strategies. A comparison of important organizational science theories, including institutional theory, network/network analysis theory, and resource dependency theory, provides suggestions for future research directions necessary to validate the utility of the coproduction of health framework as a precursor for paradigm change.

The global financial crisis (GFC) of 2007–2008 had far-reaching consequences for the global economy, triggering widespread economic turmoil. We use the event-study method to investigate whether investors priced the effect of significant events before the Lehman Brothers' bankruptcy in European and Asia-Pacific banks. Abnormal returns on the event days range from −4.32% to 5.03% in Europe and −5.13% to 6.57% in Asia-Pacific countries. When Lehman Brothers went bankrupt on September 15, 2008, abnormal returns averaged the lowest at −4.32% in Europe and −5.13% in Asia-Pacific countries. The significant abnormal returns show that Lehman Brothers' collapse was a turning point, and investors paid attention to the precrisis events as warning signs of the oncoming crisis.

The Polish economy has undergone major challenges and changes over the past few decades. The country's trade flows, in particular, have become more firmly tied to the country’s Western neighbors as they have grown in volume. This study examines Poland's trade balances in ten Standard International Trade Classification (SITC) sectors versus the United States of America, first testing for and isolating structural breaks in each time series. These breaks are then included in a set of the cointegration models to examine their macroeconomic determinants.

Linear and nonlinear and nonlinear autoregressive distributed lag models, both with and without dummies corresponding to structural breaks, are estimated.

One key finding is that incorporating these breaks reduces the significance of the real exchange rate in the model, supporting the hypothesis that this variable already incorporates important information. It also results in weaker evidence for cointegration of all variables in certain sectors.

This study looks only at one pair of countries, without any third-country effects.

An important country pair's trade relations is examined; in addition, the real exchange rate is shown to incorporate economic information that results in structural changes in the economy. The paper extends the existing literature by conducting an analysis of Poland's trade balances with the USA, which have not been studied in such a context so far. A strong point is a broad methodology that lets compare the results the authors obtained with different kinds of models, both linear and nonlinear ones, with and without structural breaks.

Rural tourism facilities in Poland were very keen on amateur websites to promote their hospitality services from 2000 to 2018. In most cases, the websites were nonprofessional, hosted on free servers and made by family members or friends of the holding. After search engine algorithms changed in 2015–2019, the websites started to go extinct on a large scale; they were deleted and often replaced with a more modern design and a commercial domain. These resources offered a rare opportunity to gain insight into rural tourism, rural changes and socioeconomic and cultural phenomena.

The paper’s objective is to demonstrate with an analysis of archived Polish rural tourism websites that digital cultural artefacts are generated in rural areas. The study was an analysis of selected development attributes of rural tourism websites found in the Internet Archive. The analysis involved those attributes that are important for determining whether a website or content can be considered digital cultural heritage assets.

The conclusions demonstrate that rural digital cultural heritage is a set of digital artefacts created in rural areas with their characteristics. Rural digital artefacts are records of ICT, infrastructure, environmental, cultural and socioeconomic changes.

The “digital assets” of rural areas are yet to be discussed in the context of rural cultural heritage, as a set of artefacts created in these areas and characteristic of them.

The authors aimed to examine how the level of digitalization in Poland and Ukraine affects the contribution of small and medium-sized enterprises (SMEs) to the countries’ gross domestic product (GDP).

The study involved a comparative analysis and statistical modeling of the impact of key economic factors on the contribution of SMEs to Poland’s and Ukraine’s GDP in the 2010–2020 period. The authors used principles of the theory of economic growth and calculated the coefficient of digital competitiveness as a composite indicator consisting of a number of global indices.

The study revealed significant differences between both countries, which can be attributed to a higher level of digitalization in Polish SMEs. The authors used the Polish experience to recommend how to reform Ukraine’s digital economy in postwar recovery.

The contribution of SMEs to Poland’s GDP is higher than that of Ukraine’s because of the higher entrepreneurship rate in the Polish micro and small enterprises (MSEs) sector. The authors found that a unit change in the integrated coefficient of digital competitiveness is related to the greatest change in the contribution of SMEs to the country’s GDP when the other factors in the model equation remain fixed.

This paper contributes to studies on the relationship between dynamic capabilities (DCs) and performance by showing how domain-specific DCs – international dynamic marketing capabilities (IDMCs) – affect the international performance of exporting firms in the context of extreme environmental dynamism – during the COVID-19 pandemic.

The authors focus on a sample of 277 exporting manufacturers from the post-transition economy of Poland. The authors use hierarchical multiple regression analysis to test this study's hypotheses.

This study's findings show that deployment of IDMCs by export manufacturers in the context of environmental jolts contributes to better performance, and this relationship is mediated by adaptation to foreign markets and product development capability. Additionally, this study's results reveal that the significant and positive indirect effect of IDMCs on international performance (through mediators) is, however, weakened under conditions of extreme environmental dynamism.

The limitations pertain to the cross-sectional nature of this study and the research sample, characterised by the dominance of export manufacturers of final products, the dominance of manufacturers operating in the business-to-business sector, or in the business-to-business and business-to-customer sectors simultaneously.

The study provides suggestions to managers on how to build resilience in international markets during turbulent times. These activities involve investments in IDMCs that support activities centred around product development and adaptation to foreign markets.

The novel construct of IDMCs is introduced and operationalized. The study empirically tests the direct and indirect relationship between IDMCs and performance contingent upon extreme environmental dynamism. The results demonstrate the boundary conditions for the effectiveness of these domain-specific DCs in such a research setting.

The article aims to present the results of adapting the team boosting behaviors (TBB) scale to Polish cultural conditions and validating it.

The research methodology consisted of three steps. In the first step, I translated the TBB scale into Polish using a rigorous back-translation method. Next, to assess content validity, nine domain experts reviewed the initial version of the instrument for clarity and relevance. Finally, I applied the scale to a sample of 532 team members and underwent thorough psychometric testing to assess construct validity. I employed structural equation modeling (SEM) with the partial least squares (PLS) factor-based algorithm technique for confirmatory factor analysis to assess the scale’s reliability and validity.

After development, the Polish version of the TBB scale kept its three sub-scale structures. However, the validation process led to a slight reduction in the number of test items compared to the original scale.

The findings imply that the Polish version of the scale is a valid and reliable tool for assessing TBB. However, I recommend additional studies to confirm this instrument’s structure.

The results confirmed the reliability and relevance of the tool for measuring TBBs in Polish cultural conditions. The tool provides the basis for implementing further research with the TBB construct in Poland and internationally.

This article aims at contributing to the literature using conjoint experiment methods for political economic problems. The author measures the stated willingness of young adults to start an enterprise in hypothetical realities described by different levels of six institutional factors pertaining to the business environment.

The author conducts the “forced-choice” conjoint experiment on a sample of 200 young Polish students. This analysis allows for the verification of the expectations concerning the differences in the respondents' stated preferences relating to the potential obstacles to their entrepreneurial inclinations. The author estimates the average marginal component effects (AMCEs) and the marginal means (MMs).

Evidence is provided that the institutional factors are not similarly significant to the stated entrepreneurial preferences of Polish young adults. Legal certainty and economic freedom are the attributes of the most notable effect on respondents' feelings about perceived entrepreneurial barriers; however, the results vary across the subgroups.

The study results provide a tentative perspective on the Polish young adults' feelings about institutions as a potential obstacle to their entrepreneurial inclinations. The employment of conjoint methodology lays the groundwork for scholars studying the entrepreneurial environment, legal institutions and current public mood of different social groups.

This study is a unique attempt to answer political economic questions concerning entrepreneurial institutions in Poland through the implementation of a comprehensive market research method. In addition, the author indicates a specific set of six institutional factors as well as define a distinct group of young adults.

The purpose of this study is to develop a new hybrid method that combines interpretative structural modeling (ISM) and matrix cross-impact multiplication applied to classification (MICMAC) to investigate the influencing factors of sustainable infrastructure vulnerability (SIV).

(1) Literature review and case study were used to identify the possible influencing factors; (2) a semi-structured interview was conducted to identify representative factors and the interrelationships among influencing factors; (3) ISM was adopted to identify the hierarchical structure of factors; (4) MICMAC was used to analyze the driving power (DRP) and dependence power (DEP) of each factor and (5) Semi-structured interview was used to propose strategies for overcoming SIV.

Results indicate that (1) 18 representative factors related to SIV were identified; (2) the relationship between these factors was divided into a five-layer hierarchical structure. The 18 representative factors were divided into driving factors, dependent factors, linkage factors and independent factors and (3) 12 strategies were presented to address the negative effects of these factors.

The findings illustrate the factors influencing SIV and their hierarchical structures, which can benefit the stakeholders and practitioners of an infrastructure project by encouraging them to take effective countermeasures to deal with related SIVs.

This study aims to develop and test a multivariable psychosocial prediction model of subjective well-being in Ukrainian adults (n = 1,248) 1.5 years after the 2022 Russian invasion of Ukraine.

The research design followed the “Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis” checklist. The online survey combined a questionnaire on sociodemographic characteristics and specifics of living in wartime, as well as validated self-reported inventories: The Modified BBC Subjective Well-being Scale, Acceptance and Action Questionnaire – Version 2 and Connor–Davidson Resilience Scale-10.

The initially developed model was tested through regression analysis, which revealed nine variables as predictors of the subjective well-being scores within the sample, explaining 49.3% of its variance. Among them, the strongest were living with a friend and receiving mental health care systematically. They were almost twice as influential as forced displacement abroad and trauma exposure, which predicted lower well-being, and living with a spouse, which forecasted higher well-being scores. Two resilience subscales – adjustment and restoring and resistance – as predictors of better well-being and perceived unsuccess in life and age as predictors of lower well-being were relatively weaker but statistically significant.

The obtained results support the previous evidence on the essential role of accessible mental health services and social support in times of war, as well as the deteriorative effect of trauma exposure and forcible taking refuge on subjective well-being.