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Health risks associated with coronavirus disease 2019 (COVID-19) have severely affected the financial stability of airline companies globally. Recapturing financial stability following this crisis depends heavily on these companies’ ability to attain efficient and productive operations. This study uses several empirical approaches to examine key factors contributing to carriers sustaining high productivity prior to, during and after a major recession. Findings suggest, regardless of economic conditions, that social distancing which requires airline companies in the Asia Pacific region to fly with a significant percentage of unfilled seats weakens the performance of those companies. Furthermore, efficient operations do not guarantee the avoidance of productivity declines, especially during a recession.

This research explores how contextual elements and significant events influence the changing storylines within a company's directors' reports spanning a period of six decades. These elements and events encompass the internal dynamics of the family that owns the company, industry-specific advancements, political and socioeconomic climates, and explicit guidelines related to corporate reporting.

This research employs a case study methodology to analyse the directors' reports of Barilla, a prominent Italian food manufacturer, within the theoretical framework of historical institutionalism. A systematic content analysis is conducted on sixty directors' reports published between 1961 and 2021. The study also identifies and examines significant contextual events within this six-decade period, which are linked to four key institutional factors.

Based on the research findings, the directors' reports exhibited notable fluctuations throughout the studied timeframe in reaction to shifts in the institutional setting. Our investigation highlights that each institutional element experienced crucial pivotal moments, and given their interconnected nature, modifications in one factor impacted the others. It was noted that these pivotal moments resulted in alterations in the directors' reports' content across various thematic areas. Additionally, despite Barilla being a multinational company, it was found that national events within Italy had a more pronounced influence on the evolving narratives than global events.

Previous research on directors' reports or chairman's statements has primarily focused on the influence of macro-level institutional factors on the narratives. In contrast, our study considers both macro-level and micro-level institutions, specifically examining the internal events within a family business and how they shape the content of directors' reports. Our study is also distinctive in its analysis of specific critical junctures and their interactions with the investigated institutional factors. Additionally, to the best of our knowledge, few existing studies span a timeframe of sixty years, particularly concerning an Italian company.

This study aims to perform a benefit segmentation and then a classification of visitors that travel to the Rocha Department in Uruguay from the capital city of Montevideo during the summer months.

A convenience sample was obtained with an online survey. A total of 290 cases were usable for subsequent data analysis. The following statistical techniques were used: hierarchical cluster analysis, K-means cluster analysis, machine learning, support vector machines, random forest and logistic regression.

Visitors that travel to the Rocha Department from Montevideo can be classified into four distinct clusters. Clusters are labelled as “entertainment seekers”, “Rocha followers”, “relax and activities seekers” and “active tourists”. The support vector machine model achieved the best classification results.

Implications for destination marketers who cater to young visitors are discussed. Destination marketers should determine an optimal level of resource allocation and destination management activities that compare both present costs and discounted potential future income of the different target markets. Surveying non-residents was not possible. Future work should sample tourists from abroad.

The combination of market segmentation of Rocha Department’s visitors from the city of Montevideo and classification of sampled individuals training various machine learning classifiers would allow Rocha’s destination marketers determine the belonging of an unsampled individual into one of the already obtained four clusters, enhancing marketing promotion for targeted offers.

Lean distributed manufacturing (LDM) is being considered as an enabler of achieving sustainability and resilience in manufacturing and supply chain operations. The purpose of this paper is to enhance the understanding of how LDM characteristics affect the resilience of manufacturing companies by drawing upon the experience of food manufacturing companies operating in the UK.

The paper develops a conceptual model to analyse the impact of LDM on the operational resilience of food manufacturing companies. A triangulation research methodology (secondary data analysis, field observations and structured interviews) is used in this study. In a first step, LDM enablers and resilience elements are identified from literature. In a second step, empirical evidence is collected from six food sub-sectors aimed at identifying LDM enablers being practised in companies.

The analysis reveals that LDM enablers can improve the resilience capabilities of manufacturing companies at different stages of resilience action cycle, whereas the application status of different LDM enablers varies in food manufacturing companies. The findings include the development of a conceptual model (based on literature) and a relationship matrix between LDM enablers and resilience elements.

The developed relationship matrix is helpful for food manufacturing companies to assess their resilience capability in terms of LDM characteristics and then formulate action plans to incorporate relevant LDM enablers to enhance operational resilience.

Based on the literature review, no studies exist that investigate the effects of LDM on factory’s resilience, despite many research studies suggesting distributed manufacturing as an enabler of sustainability and resilience.

This paper examines the contested value of healthy life and wellbeing in a context of severe austerity, exploring how the value of “Public Health” is constructed through and with material-discursive practices and accounting representations. It seeks to explore the political and ethical implications of constructing the valuable through a shared consensus over the “facts” when addressing complex, multi-agency problems with long time horizons and outcomes that are not always easily quantifiable.

The theorisation, drawing on science and technology studies (STS) scholars and Karen Barad's (2007) agential realism, opens up the analysis to the performativity of both material and discursive practices in the period following a major re-organisation of activity. The study investigates two case authorities in England and the national regulator through interviews, observations and documentary analysis.

The paper demonstrates the deeply ethical and political entanglements of accounting representations as objectivity, consensus and collective action are constructed and resisted in practice. It goes on to demonstrate the practical challenges of constructing “alternative accounts” and “intelligent accountabilities” through times of austerity towards a shared sense of public value and suggests austerity measures make such aims both more challenging and all the more essential.

Few studies in the accounting literature have explored the full complexity of valuation practices in non-market settings, particularly in a public sector context; this paper, therefore, extends familiar conceptual vocabulary of STS inspired research to further explore how value(s), ethics and identity all play a crucial role in making things valuable.

The production of the ‘good life’ or the ‘less bad-life’ (Berlant, 2007, 2011), especially among generations of the Marcos dictatorship and the Epifanio de los Santos Avenue revolutions (henceforth, EDSA revolutions) in the Philippines, is animated by the ‘mobility imperative’ (Farrugia, 2016). The mobility imperative includes processes that encourage or demand mobility (Farrugia, 2016) for individuals and institutions. It figures in various ‘systems of practice’ (Levitt, 1998, 2001) among families in migrant-sending communities, government and corporations that magnify how migration is the ticket to better life (McKay, 2012) or its glorification as a heroic act (de los Reyes, 2013, 2014). Among the generations of the Martial Law and the EDSA revolutions, therefore, the ‘good life’ is hinged upon departure as professionals (e.g. nurses and engineers), workers in elementary occupations (e.g. construction and domestic workers) or mail-order brides or pen pals. Put simply, the good life in these generations is a function of remittances.

This chapter examines how the contemporary generation of young people construct the ‘good life’ in differential and new terms (de los Reyes, 2023; McKay & Brady, 2005) from previous generations. Using interviews and vision boards of left-behind children (15–18 years old), it argues that left-behind children critically appraise the ‘mobility imperative’. The chapter shows that there is a growing imagination of alternatives to the migration-induced good life among left-behind children, and therefore, they gradually refuse the ‘mobility imperative’. For them, the aspired good life consists of potentially being employees or entrepreneurs in their own villages and living a life with their own families (de los Reyes, 2019, 2020).

The purpose of this paper is to use tenets of the complexity theory in order to study the effect of various determinants of firm’s performance, such as CEO’s compensation and age, for the case of 72 insurance companies.

The authors identify the asymmetries in the data set by creating quantiles and using contrarian analysis. Instead of ignoring this information and use a main effects approach, all the available information in the data set is taken into account. For this purpose, the authors use qualitative comparative analysis to find alternative equifinal routes toward high firm performance.

Five configurations are found which lead to high performance. Every one of the five configurations is found to be sufficient but not necessary for high firm performance.

The research findings contribute to a better understanding of the determinants of firm’s performance taking into account the asymmetries in the data set. The authors identify alternative paths toward high firm performance, which could be vital information for the decision maker inside a firm.

With the outset of automatic detection of information, misinformation, and disinformation, the purpose of this paper is to examine and discuss various conceptions of information, misinformation, and disinformation within philosophy of information.

The examinations are conducted within a Gricean framework in order to account for the communicative aspects of information, misinformation, and disinformation as well as the detection enterprise.

While there often is an exclusive focus on truth and falsity as that which distinguish information from misinformation and disinformation, this paper finds that the distinguishing features are actually intention/intentionality and non-misleadingness/misleadingness – with non-misleadingness/misleadingness as the primary feature. Further, the paper rehearses the argument in favor of a true variety of disinformation and extends this argument to include true misinformation.

The findings are novel and pose a challenge to the possibility of automatic detection of misinformation and disinformation. Especially the notions of true disinformation and true misinformation, as varieties of disinformation and misinformation, which force the true/false dichotomy for information vs mis-/disinformation to collapse.