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This paper aims to test the hypothesis that the effect of production slowdown on labour demand can be muted by labour hoarding.

This study adopts a production function approach, using data from Malta, a small state in the EU.

The results confirm the hypothesis and indicate that firms are normally prepared to employ and dismiss more workers in the long run than in the short run.

This finding has important implications for developed countries, including that labour hoarding can be of certain relevance in times of economic slowdown as shocks are absorbed by internal flexibility.

The results of this study add on to the existing literature in two ways. First, this study compares two industries –manufacturing and financial services– for which the former sector received support to hoard labour after the financial turmoil of 2008. Consequently, the dominance of labour hoarding in manufacturing relative to financial services is uncovered and the effect of hoarding practices on labour demand is estimated. Second, Malta is an interesting case because it is one of the smallest economies in the world and faces a high degree of vulnerability because of constraints associated with small size and insularity. As a result, firms adopt policy-induced measures to minimise adjustment costs.

Literature on eco-innovation brings insights that help to understand which factors trigger innovation focused on sustainability in companies. However, when analyzing the studies that comprise such drivers, it appears that most of them were focused only on describing them in isolation. Therefore, this study aims to understand which are the combinations of drivers that favor the adoption of eco-innovation in slaughterhouses located in the Brazilian state of Rio Grande do Sul.

This study has used the crisp-set qualitative comparative analysis (csQCA) as the data analysis technique, in addition to the previous application of Most Similar Different Outcome/Most Different Same Outcome (MSDO/MDSO).

This study identified eight internal and external drivers that explain the differences in performance of eco-innovative and non-innovative slaughterhouses. These drivers generate 13 combinations of factors capable of favoring the adoption of five types of eco-innovation.

A limitation identified was the difficulty to obtain information held by companies on environmental issues. In addition, in each company the authors only approached one respondent.

The use of combinations is identified by companies and governmental and non-governmental organizations to promote eco-innovation in slaughterhouses.

This study may be considered original for its contribution to the improvement of eco-innovation literature by describing how the drivers identified combine to favor the adoption of certain types of eco-innovation. In addition, the authors also made an original use of csQCA, linked with MSDO/MDSO, in the field of eco-innovation.

This chapter insists that local cocreation projects need not only good intentions and the hard work of volunteers but also require funding and financing of the design and implementation of new solutions. It draws a conceptual distinction between funding and financing and explains who may help to provide funding and financing and why they may do so. As a part of this discussion, attention is drawn to the importance of writing good and persuasive funding applications and drawing up a strong and convincing business case to secure financing of new solutions. The new and emerging strategy for mobilizing private capital to help finance SDG projects is explained and illustrated, before closing the chapter with a discussion of the need to develop a proper system for fiscal accounting and auditing, which can prevent mismanagement and misconduct that eventually undermine popular support for local SDG projects.

The purpose of this paper was to establish the contribution of value chain and productivity to trade performance in the dairy industry using evidence from Uganda.

This study research design is cross-sectional and correlational. Data were collected through a questionnaire survey of 108 dairy farmers, processors and exporters. Data were analysed through correlation coefficients and linear regression using Statistical Package for Social Sciences.

Hierarchical regression results indicate that value chain and productivity contribute significantly to variances in trade performance of dairy products. Therefore, appropriate value chain processes and high levels of productivity lead to increased trade performance in the dairy industry.

This study focusses on trade performance of dairy products in Uganda. These research findings are useful for informing the deliberations of academicians, regulators and the business community. The results are applicable to all countries that carry out trade specifically in dairy products.

The results are important for trade policy development in the dairy industry. For example, this study informs farmers, processors and exporters of dairy products how value chain activities in dairy farming can be re-aligned to achieve better quality and productivity for exportation. Similarly, the current study provides policy guidance for the relevant ministries such as ministry of trade and other players to come up with holistic policy actions aimed at improving the trade performance of dairy products in the country.

To the researchers' knowledge, this is the first study that provides an initial empirical evidence on the contribution of value chain and productivity on trade performance of dairy products in Uganda.

This paper appraises the effects of monetary policy on trade in value-added (TiVA) using a panel of 38 developing countries spanning the period 1990 to 2019. Specifically, the authors subsequently summon the theory of trade in intermediate products within the New Keynesian framework for open economies that comprises price rigidity to verify this relationship and thereon control for robustness by correcting for endogeneity and unbalanced panel effect.

The authors mobilize the within estimator corrected for cross sectional dependence as well as the two-stage-least squares fixed effect estimator which corrects for endogeneity. For robustness, the authors also use the Hausman–Taylor estimator to control for endogeneity and random effects in annualized data and the least squares dummy variable corrected estimator.

Results suggest that the monetary policy instruments such as inflationary gaps and anticipatory inflationary outcomes significantly affect TiVA in developing countries only in the short term with no long-term effect. In addition to contributing to the scanty empirical literature, the authors provide relevant insights on monetary policy tools that can be mobilized in fashioning a global value chain penetration and upgrading strategies.

The authors convoke the theory of trade in intermediate products casted into the New Keynesian framework comprising price rigidity to verify the relationship between TiVA and monetary policy (b) verify for robustness by correcting for endogeneity and unbalanced panel effect.

Predicting effects of artificial intelligence on service occupations can be supported by a long historical perspective. Historical databases and archaeology help reconstructing the service sector in ancient societies. Here, the purpose of this paper is to analyse occupational specialization within services in cities of ancient Greece and the Roman Empire, as well as how the service sector is reflected in architectural remains, to identify differences and similarities with today’s Europe.

Occupational titles are traced in epigraphical and literary sources, sorted according to ISCO-08. Secondary sources are used for the architectural evidence of service activities, as well as for the role of contests and entertainment in antiquity.

Compared to current European service employment, professionals were fewer in classical Athens and imperial Rome, which had a greater proportion of specialized salespersons. There were few office buildings and no civic hospitals, but heavy investment in facilities for entertainment and well-being. Quality assessments for goods were little developed; contests for cultural and sports activities assessed entertainment service quality.

This study covers two periods in classical antiquity and is restricted to Mediterranean cultures, although findings may help understanding the service sector in poor countries with informal employment.

While particular services provided in ancient cities have been studied, there has been no broad comparative overview of their service occupations. Services in earlier societies with primitive information and communication technologies can provide clues for current developments.

This study analyzes how tech firms can implement the modern wave of subscription-based business model (SBBM), including value proposition, value creation, value capture and performance. In fact, these elements push tech firms to move from traditional to SBBMs.

To achieve the objectives of this study, we initially construct a theoretical framework for applying SBBM. Subsequently, we employ qualitative research to examine the current implementation of the subscription-based economy within tech firms.

A successful SBBM necessitates capturing value through sustainable revenue transactions and revising aspects of the value proposition, creation and capture. Continuous improvement through business value analysis is imperative. Additionally, an agile operations system is vital to address revenue complexities, enable data collection and enhance value proposition, service innovation, churn rate and customer retention, which are essential for SBBM maintenance.

This study delves into how the subscription-based economy is reshaping the business models of tech firms. Beyond exploring the theoretical foundation of this transformative path, this study offers actionable insights on enhancing the value proposition, creation, capture and business value within subscription-based economy frameworks.

This paper aims to present a value cocreation framework that furthers understanding of social value cocreation.

This paper is an interdisciplinary conceptual analysis drawing on social enterprise studies, marketing research and philosophical value theory. It applies a visible-hand approach to the study of market relationships and, in line with philosophical research strategies, unfolds its analysis using conceptual distinctions.

This study provides a framework that substantiates the distinction between two modes of value cocreation and identifies the structure of the social enterprise business model. It explains how social enterprises can be conceived as role models for for-profit organizations, and it elucidates why social value cocreation is a demanding objective.

This paper develops an integrative, nondichotomist view of value cocreation that does not conceptualize social and economic value cocreation as opposing goals.

Social enterprises can use the business model structure and two modes of value cocreation and view themselves as role models for for-profit organizations.

This paper applies a visible-hand approach to both for-profit organizations and social enterprises. Using its framework, for-profit organizations can reflect on the consequences of their actions on society and how social value cocreation can improve social enterprise effectiveness.

To the best of the author’s knowledge, this paper is the first to bridge service-oriented approaches to marketing and social enterprise studies using philosophical value theory to improve understanding of social value cocreation.