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The purposes of this paper are to: (1) characterize farmers’ market manager and vendor perceptions of the economic, social and environmental impact markets have on their local communities; and (2) how those impacts are tracked and communicated to market actors and the local community.

Twenty-nine semistructured interviews were conducted with market managers and vendors across four farmers’ markets within Michigan. The interviews were coded and analyzed using thematic analysis.

Managers and vendors report economic and social and environmental benefits associated with the presence of a farmers' market, consistent with the existing literature. Metrics are tracked to estimate market impact, particularly economic and social benefits. Market managers reported uncertainty about how best to use data internally, and there are gaps in communicating market impacts with vendors. Most data are used for external reporting, to statewide organizations or for grant evaluation. Respondents reported data fatigue and unwillingness among vendors to share personal business information due to concerns about privacy relative to the perceived benefits of sharing data.

Additional resources are needed for markets, specifically market managers, to better utilize the data they collect for internal versus external purposes.

Metric collection and reporting are a nascent development among markets. Understanding how market actors are utilizing these tools will provide guidance to improve future efforts at impact measurement.

The main purpose of this work was elaboration and verification of a method of assessing the sensitivity of automatic control laws to parametric uncertainty of an airplane’s mathematical model. The linear quadratic regulator (LQR) methodology was used as an example design procedure for the automatic control of an emergency manoeuvre. Such a manoeuvre is assumed to be pre-designed for the selected airplane.

The presented method of investigating the control systems’ sensitivity comprises two main phases. The first one consists in computation of the largest variations of gain factors, defined as differences between their nominal values (defined for the assumed model) and the values obtained for the assumed range of parametric uncertainty. The second phase focuses on investigating the impact of the variations of these factors on the behaviour of automatic control in the manoeuvre considered.

The results obtained allow for a robustness assessment of automatic control based on an LQR design. Similar procedures can be used to assess in automatic control arrived at through varying design methods (including methods other than LQR) used to control various manoeuvres in a wide range of flight conditions.

It is expected that the presented methodology will contribute to improvement of automatic flight control quality. Moreover, such methods should reduce the costs of the mathematical nonlinear model of an airplane through determining the necessary accuracy of the model identification process, needed for assuring the assumed control quality.

The presented method allows for the investigation of the impact of the parametric uncertainty of the airplane’s model on the variations of the gain-factors of an automatic flight control system. This also allows for the observation of the effects of such variations on the course of the selected manoeuvre or phase of flight. This might be a useful tool for the design of crucial elements of an automatic flight control system.

The purpose of this paper is to examine how and why Gypsies and Travellers are socially excluded in England and how their experience may be reflected in other European contexts. Specifically, the paper explores the impact of planning policies on accommodation provision for Gypsies and Travellers in England and subsequently how their exclusion manifests due to the sedentarist binary definition of nomadism embedded within that policy.

The paper draws on evidence from empirical research carried out by the authors in the South West of England in 2015 as part of an accommodation needs assessment of Gypsies and Travellers. The research was commissioned by a local authority but the analysis presented here was carried out in addition to the core report. The decision to comment further on the research findings in relation to policy and theory was agreed with the project funders.

The research findings show that there continues to be a lack of accommodation provided to Gypsies and Travellers in England, despite policy and legislative initiatives to the contrary. The paper identifies that current government policy in England is likely to diminish access to appropriate accommodation in the future for Gypsies and Travellers, particularly for the most vulnerable. Finally, the paper concludes that a sedentarist binary definition of nomadism has failed to recognise Gypsy and Traveller communities’ culture or mobility.

This paper sets out how an underpinning “sedentarist binary” definition of nomadism is used in England to determine policies of provision for Gypsies and Travellers. That definition is based on the sedentary notions of nomadism that are binary, distinguishing only between people who are mobile and people who are not, rather than acknowledging the cultural nomadism of Gypsies and Travellers. The findings are useful beyond the UK context as they help to explain why Gypsies, Travellers and Roma in wider Europe remain excluded within states despite extensive European initiatives for inclusion.

EU countries, including those in Central and Eastern Europe, seem to have increasingly similar economies, allowing for the study of real convergence as a process of equalising income levels (measured by GDP per capita). Studies of income convergence in the European Union also have a regional dimension and often focus on convergence at the NUTS2 or NUTS3 regional level. The level of development and income in Polish regions differ significantly. The regional policy implemented at the national and EU level focuses on reducing these differences.

The main aim of the chapter is to analyse the income convergence process among regions in Poland and verify the effectiveness of regional policy implemented at the national and EU level.

The study uses Barro type regression for panel data, log t convergence test, and club clustering algorithm introduced by Phillips and Sul to identify patterns of club convergence in Polish regions. The data used for the study is the Local Data Bank provided by Statistics Poland, which includes gross domestic product per capita at the NUTS-3 level for 73 Polish regions over the period of 2000–2020.

The results of the study indicate a very weak convergence process for all Polish NUTS-3 regions and suggest a club convergence. The club convergence is characterised by regions with similar income levels clustering together. The regional distribution of clubs is similar to the regional distribution of income. The study's findings provide important insights into the effectiveness of regional policy in Poland and suggest that policymakers need to focus on policies that promote catch-up growth in less developed regions. The study also highlights the importance of supporting the most developed regions in the country as they can play a crucial role in driving the country's economic growth and prosperity.

Outlines previous research on cointegration between capital markets and assesses the degree of cointegration between liberalized Eastern European markets (the Czech Republic, Poland and Hungary) and the German and UK markets in the context of increasing foreign investment in Eastern Europe. Uses 1991‐1995 weekly indices to examine stock returns, performing several different tests, and suggests (in contrast to previous findings) that the markets are co‐ordinated for the whol study period. Briefly considers the implications for investment portfolio diversifaction and short‐run investment strategies.

Environmental degradation resulting from human activities may adversely affect human health in multiple ways. Until now, policies aimed at mitigating environmental problems such as climate change, environmental pollution and damage to biodiversity have failed to clearly identify and drive the potential benefits of these policies on health. The conducted study assesses and demonstrates how specific environmental policies and instruments influence perceived human health in order to ensure input for a data-driven decision process.

The study was conducted for the 2004–2020 period in European Union (EU) countries with the use of dynamic panel data modeling. Verification of specific policies' impact on dependent variables allows to indicate this their effectiveness and importance. As a result of the computed dynamic panel data models, it has been confirmed that a number of significant and meaningful relationships between the self-perceived health index and environmental variables can be identified.

There is a strong positive impact of environmental taxation on the health index, and the strength of this relationship causes effects to be observed in the very short term, even the following year. In addition, the development of renewable energy sources (RES) and the elimination of fossil fuels from the energy mix exert positive, although milder, effects on health. The reduction of ammonia emissions from agriculture and reducing noise pollution are other health-supporting factors that have been shown to be statistically valid. Results allow to identify the most efficient policies in the analyzed area in order to introduce those with the best results or a mix of such measures.

The results of the authors' research clearly indicate the health benefits of measures primarily aimed at improving environmental factors, such as environmental taxes in general. The authors have also discovered an unexpected negative impact of an increase in the share of energy taxes in total taxes on the health index. The presented study opens several possibilities for further investigation, especially in the context of the rapidly changing geopolitical environment and global efforts to respond to environmental and health challenges. The authors believe that the outcome of the authors' study may provide new arguments to policymakers pursuing solutions that are not always easily acceptable by the public.

The study aims at inquiring into the relationship between acquirer–target business similarity and mergers and acquisitions (M&A) transaction outcomes.

Relying on textual analysis of acquirers' and targets' business descriptions from M&A transaction synopses, the authors establish that posttransaction operating outcomes are negatively associated with acquirer–target business similarity.

While similar business profiles allow for optimization of overheads, sales growth and margins demonstrate better dynamics when acquirers and targets are more dissimilar, which allows for greater competitive gains. On average, targets are more dissimilar from acquirers than acquirers are from their competitors. The degree of competition within acquirers' industries and acquirer–competitors' business similarity are found to be positively associated with the likelihood of engaging in serial horizontal acquisitions involving more similar targets, mostly from the domestic market. Competitive pressure is evidenced to push acquirers for a faster completion of acquisition process. Cross-border acquisitions are found to be associated with lower acquirer–target and acquirer–competitors' similarity, which suggests that Chinese companies expand overseas primarily for strategic reasons of gaining a competitive edge rather than to simply improve sales.

The paper contributes to the limited pool of empirical literature relying on text mining techniques to establish the determinants of M&A transaction outcomes. The methodology used in the study outperforms the conventional techniques of operationalization of business similarities through General Industry Classification Standard (GICS) industry matching. The study investigates the intermediating role of intraindustry competition in fostering firms' acquisitiveness.

Neo-institutional theories and their constructs have so far only received limited attention in supply chain management literature. As recent supply chain disruptions and their ripple effects affect actors on a broader institutional level, supply chains are confronted with multiple new and emerging, often conflicting, institutional demands. This study aims to unpack the notion of institutional complexity behind supply chain disruptions and present a novel institutional framework to lower supply chain susceptibility and increase supply chain resilience.

The authors identify the patterns of complexity that shape the supply chain susceptibility, namely, distance, diversity and ambiguity, and present three institutional responses to susceptibility to increase supply chain resilience, namely, institutional entrepreneurship, institutional alignment and institutional layering.

This paper analyses the current situational relevance to better understand the various and patterned ways how logics influence both supply chain susceptibility and the supply chain resilience. The authors derive six propositions on how complexity can be reduced for supply chain susceptibility and can be increased for supply chain resilience.

By expanding and extending research on institutional complexity to supply chains, the authors broaden how researchers in supply chain management view supply chain susceptibility, thereby providing managers with theory to think differently about supply chains and its resilience.

International Business, Entrepreneurship.

This case has been used previously in an international business strategy module on MA courses at Kozminski University, Poland.

The case details Audioteka’s (a Polish audiobook company) history between 2007 and 2013, from the perspective of Marcin, one of the co-founders. The company was founded in 2008 by Marcin Beme and Blazej Kukla and internationalized soon after. Marcin was an experienced entrepreneur, while Blazej was a sound engineer. Both sought to combine their complementary skills and experience to start a business aimed at selling audio recordings. The case is divided into Parts (A) and (B) and is designed to teach international entrepreneurship, lying at the intersection of international business and entrepreneurship. Part (A) is set in 2011 and tracks the company’s evolution from the conception of an idea to establishing a start-up and developing a product. Part (B) is set in 2013 and covers early foreign expansion between 2011 and 2013. The case is focused on the challenges that Marcin faces when developing Audioteka and expanding abroad. It allows students to understand the decision-making logic of an international new venture (INV), choices made and execution while internationalizing. Students will be able to explore how a company adapts its product; how it enters foreign markets; how it overcomes the liabilities of foreignness, smallness, newness and outsidership through establishing partnerships with big companies (telecoms, automakers); and how it appreciates the risks involved in this process.

This case is the basis for a class discussion rather than for illustrating either effective or ineffective handling of a managerial situation. From this case, MA students will learn how an entrepreneurial firm makes strategic decisions and becomes international. The first learning outcome is to evaluate the concepts of liability of origin, foreignness, outsidership, smallness and newness, and to explore ways of overcoming them. Second, the expected learning outcome is to assess differences between the Uppsala model of internationalization and born-global/INV phenomenon. Third, students, by examining particular foreign market-entry modes, are expected to evaluate their advantages and disadvantages. Finally, students are expected to understand the concept of “effectuation” and apply it to the decision-making process in early internationalization.

CSS 5: International Business.