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This paper aims to use the origin story of Dalhousie’s Faculty of Management as a foil for unpacking the tensions between deep disciplinary specialization and liberal education in business schools in Canada and the USA. Ultimately, the paper reveals that those tensions are not irreconcilable, and that through the fortunes of historical contingencies and deliberate decision-taking, a faculty can embrace the benefits of both breadth and depth.

The paper proposes a critical organizational history of management education through a case study. By drawing on secondary literature and archival sources, the authors focus on moments in business education, such as the founding of the Wharton School of Business, the release of the Carnegie and Ford Reports and the trend towards increased specialization to situate a case study of Dalhousie University’s Faculty of Management.

The authors find that the evolution of business education in North America from its broad, liberal origins towards narrow, specialization has come at a cost to some of the benefits of business and management education. An alternative approach, one reflected in the design of Dalhousie’s Faculty of Management, its programme offerings and its interconnection with other disciplines, enables the advantages of deep disciplinarity to co-exist (and cross-inform) with the advantages of liberal approach to knowledges.

The Dalhousie model offers business schools an example of a faculty that balances the rich insights of liberal interdisciplinarity with the need for sophisticated approaches to more granular, often disciplinary, topics. In addition, the paper offers the story of a multidisciplinary management faculty, some explanation for how that faculty was maintained despite pressures towards specialization; and in doing so, contributes to the limited historical research of management education, particularly in Canada, post-2000.

This study aims to examine the role of hope and hate in political leaders’ messages in influencing liberals versus conservatives’ social-distancing behavior during the COVID-19 pandemic. Given the increasing political partisanship across the world today, using the appropriate message framing has important implications for social and public policy.

The authors use two Natural Language Processing (NLP) methods – a pretrained package (HateSonar) and a classifier built to implement our supervised neural network-based model architecture using RoBERTa – to analyze 61,466 tweets by each US state’s governor and two senators with the goal of examining the association between message factors invoking hate and hope and increased or decreased social distancing from March to May 2020. The authors examine individuals’ social-distancing behaviors (the amount of nonessential driving undertaken) using data from 3,047 US counties between March 13 and May 31, 2020, as reported by Google COVID-19 Community Mobility Reports and the New York Times repository of COVID-19 data.

The results show that for conservative state leaders, the use of hate increases nonessential driving of state residents. However, when these leaders use hope in their speech, nonessential driving of state residents decreases. For liberal state leaders, the use of hate displays a directionally different result as compared to their conservative counterparts.

Amid the emergence of new analytic techniques and novel data sources, the findings demonstrate that the use of global positioning systems data and social media analysis can provide valuable and precise insights into individual behavior. They also contribute to the literature on political ideology and emotion by demonstrating the use of specific emotion appeals in targeting specific consumer segments based on their political ideology.

The findings have significant implications for policymakers and public health officials regarding the importance of considering partisanship when developing and implementing public health policies. As partisanship continues to increase, applying the appropriate emotion appeal in messages will become increasingly crucial. The findings can help marketers and policymakers develop more effective social marketing campaigns by tailoring specific appeals given the political identity of the consumer.

Using Neural NLP methods, this study identifies the specific factors linking social media messaging from political leaders and increased compliance with health directives in a partisan population.

What are the academic experiences of senior professors in the field of public relations (PR) at the Brazilian universities? This chapter proposes the advance of knowledge on the theoretical framework of contemporary liberal feminism by refining the previous theoretical and methodological publications. This theoretical lens prevails in earlier works, with empirical studies grounded in industry and corporate environments – mainly done by researchers from the United Kingdom, North America and Scandinavia, while PR feminist postmodernism appears in European literature – all scarce in Brazil and Global South (Latin America and African nations). Moreover, studies applying female or male PR scholars in university settings are rare in national and international literature. Hence, we gathered data and analysed narratives from seven senior female PR professors from Brazil, using an interpretative qualitative approach. Thus, this chapter about the female PR academic experiences and everyday practices highlights the starting point for an onto-epistemological discussion to understand the liberal feminist educational-based context in a Latin American country. Henceforth, two conceptual-practical dimensions – feminist PR competence and feminist PR performance – along with three methodological recommendations are presented for enhancing the contemporary liberal feminism theme as a robust research domain in PR and Strategic Communication agenda.

This study aims to investigate how and why a new management accounting control (MAC) regime emerged in a previously government-owned energy company with a Soviet past in the context of changing politico-economic dynamics in Ukraine.

Drawing upon data from a case study of a large Ukrainian energy company with a Soviet past that has undergone major transformations in recent years, the authors analyze MAC regime changes in the company from an institutional logics perspective. All primary and secondary data used in this study were collected from 2012 to 2016. Retrospective interviews and extensive use of written materials, including corporate documents and other publicly available data, helped them reconstruct those events, which the authors could not observe personally.

The authors observed that MAC regime changes in the company mirror; overall changes in the political and economic environment and Ukraine’s willingness to become closer to the West. The company seems to follow liberal Western market logics and eliminate those of Soviet heritage. The MAC regime changes seemed to contribute to the company’s survival during challenges caused by the political and economic crises that began in 2014 with the annexation of Crimea and other Ukrainian territories in the East of the country, demonstrating the usefulness of the new MAC regime and overall business logic.

This study adds to the literature on management accounting and control change in emerging economies and extractive industries by highlighting the role of changing institutional logics in shaping a MAC regime. The authors explain why, in some contexts (i.e. Ukraine), organizational actors accept and favor liberal Western market logic.

A particularly significant facet of this study concerns its extension of the role of MAC and the way it is perceived in a new international context in times of significant transformation. The results suggest that MAC regime change may be favorably received if it is based on local values and aspirations.

This paper takes an ideal type of different welfare regimes as a starting point. It investigates with survey data people's experiences and expectations towards the welfare state and its functioning against various social risks. The paper discusses questions like, are there differences in perceptions between welfare regimes? And what is the role of the welfare state regime in explaining those differences?

This research article is based on OECD survey data and classical welfare state classifications. The analysis of welfare regimes provides both a theoretical and methodological structure for study. The study-applied analysis of variance (one-way ANOVA) to test a hypothesis that regimes matter analyses more nuanced aspects of current and prospects to the near future welfare state provision.

This examination suggests that welfare regimes still matter even though the differences in averages were not as immense as expected. Perceptions in different welfare regimes also have priorities related to the willingness to pay more taxes in order to receive better access to services and financial support if needed. In Nordic countries, the acute priority based on survey data is investment in education and re-training. In Continental Europe, more financial support is needed for pensions. Overall, respondents representing emerging Eastern European and Mediterranean welfare regimes think that welfare provision should be financed more compared to other welfare regime respondents. Health is a universal and unifying issue, particularly in ageing welfare states, and brings health as a traditional and central question again.

Respondents' perceptions work as people's voice and assessments are used to gain a contemporary understanding of welfare and about welfare state functioning.