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This paper studies the impact of certain characteristics of companies to training programs in the Industry 4.0 (I4.0) context. Partial objective is to rank the main human barriers companies have to overcome so that they can digitalize.

To accomplish the objectives, a closed-ended questionnaire was sent to Slovak and Italian companies and analyzed using statistical nonparametric tests. The partial objective was achieved using the so-called Henry-Garrett’s ranking method.

Results show the significance impact of companies’ characteristics such as foreign participation and company dimension on training practices whereas economic situation (financial health) seems not to influence it.

The study may lack generalizability as only 102 answers were collected. Perhaps, the outcome would be different with another sample from other countries. Moreover, using closed-ended questions, certain features may not have been covered.

Companies should always guarantee training for the resulted benefits. It is fundamental for organizations to find a time gap, resources and professionals who can teach these programs. Even when companies are incurring financial problems they should do so since human capital development can increase their competitiveness. The most critical barriers should be carefully addressed by companies. Training can help to overcome I4.0 barriers related to Human Resources (HR) and contribute to its growth.

This paper gives insights of the impact of certain characteristics of companies to the training programs. Because past research has limited their analysis on the identification of barrier, its novelty lies in the attempt to rank the most significant barriers among those detected by other authors in previous research.

This paper aims to inform the discussion on why and how non-profit organizations can experience a hybridization process to address the criticism that would assume hybridity as an intrinsic characteristic of all organizations. Specifically, by referring to the academies of intellectuals as the non-profit setting in which investigating the emergence of hybridity takes place, this paper aims at exploring, first, to what extent this emergence could be induced by institutional conditions, and, second, which structural innovations could sustain the academies’ “motion” towards hybridity.

This paper relies on the institutional logics perspective and adopts the case study method applied to a historical context. The case under analysis is the Academy of “the Immobili”, which, in spite of its name, experienced a hybridization process in 1720 because of the decision to involve an impresario in the management of its theatre.

The findings highlight the significant role played by institutional conditions in inducing the emergence of hybridity, even in presence of internal resistance to any “motion” from the non-profit setting. Moreover, the analysis of the innovations associated with this emergence detects the intertwined action of the different decision makers involved in the hybridization process, in spite of their formal separation. These findings strengthen the conceptualization of hybridity within non-profit organizations.

Besides referring to a historical period that is still little explored in terms of hybridity within organizations, the paper focuses on an original context, i.e. academies, representing an ancient typology of cultural organizations. Therefore, the paper also provides the first insights into the hybridization process of cultural organizations from a historical perspective.

This work aims to investigate the current financial structure of Italian agri-food micro, small and medium enterprises (MSMEs) to understand how MSMEs face innovation challenges, which are also required to support sustainable development.

To reach the goal, an empirical longitudinal analysis is performed on a sample of Italian agri-food firms. In detail, to highlight the changes in the use of financial sources between 2013 and 2019, a descriptive ratio analysis is carried out on the data extracted by the AIDA database. In addition, statistical analyses were performed, including t-tests and U Mann–Whitney. Finally, a fixed-effects model is created to analyse the panel data. To ensure homogeneity, the sub-sectors of production and transformation are separately considered.

The financial structure analysis shows an increase in the equity percentage in the funding sources, attributable to an attempt to compensate for the reduction of banks' funding. However, even though this change has not compromised firms' profitability, the undercapitalisation of companies is still present. Therefore, more equity investments are required to support the innovation process.

The value of the present research is to highlight the choice of using new alternative financing sources instead of traditional banks' credit to implement sustainable and innovative development Italian agri-food sector (AFS). This choice is forced by reducing finance from banks and other financial institutions because of the credit crunch. This issue is even more relevant, considering that MSMEs have structural financial problems but have to fulfil the mission of pursuing innovation in the same way as large companies. Therefore, this paper expands the literature on agri-food, delving into an issue typical of MSMEs and combining agri-food with the need for innovation.

Through the reconstruction of the events of some foreign entrepreneurs who worked in the territory of the Italian city of Bari in the first half of the 19th century, this paper aims to analyze the role of entrepreneurial migration in the economic development of Apulia land in this period.

This study adopts a theoretical framework that combines the concept of mixed embeddedness in a multifocal perspective, with the model of the diffusion of innovation focusing on the role of the so-called agency of actors, and of the network, in the dissemination of innovation. The theoretical framework is applied to multiple case studies to compare the evidence that emerged from the simultaneous analysis of several situations.

By analyzing how innovations have spread within the network of entrepreneurs of that time, it is possible to identify some relevant aspects related to the mechanisms of dissemination of innovations in the context of entrepreneurial migration. Specifically, the opportunity structure is intended in an even broader sense than indicated in the classic approach to mixed embeddedness: it is considered as the result of the joint interaction of the political, institutional and economic context of several places, and the behavioral dynamics of several groups.

Due to the specific method chosen, the outcomes of the research might apply to a narrow context. Therefore, the results need to be tested and confirmed in further empirical studies, and by applying multiple research methods.

Findings are useful and significant in the analysis of the link that exists between the diffusion of innovations and migrant entrepreneurship, and then the conclusions can be applied and extended to the current phenomenon of migration-related innovations, with specific reference to developing countries.

Findings can be applied and extended to the current phenomenon of migration-related innovations and highly skilled migration, with specific reference to developing countries.

This paper contributes to shed new light on the contextual and multifocal factors that influence the development of innovations in the networks of migrant entrepreneurship, in a specific historical period and a specific context. Combining social, human and financial capital with the wider opportunity structure, this study also provides a comprehensive understanding of the modalities through which migrant and high-skilled entrepreneurs could innovate.

Considering the increased financial responsibility of local government (LG), the impact of global crises and the growing adoption of accrual accounting and common standards such as IPSAS, this work focuses on financial indicators for LGs. It explores whether the literature on financial indicators has grown, investigates whether there is any consensus on which indicators to use for assessing LG's financial condition, develops a critical reading of the literature and offers suggestions for future research and policy agendas.

A structured literature review was carried out for publications in English about LG financial indicators.

Results reveal that the number of publications dealing with financial indicators has increased over the past ten years. However, rather than focusing on a set of common indicators, the literature reports a plethora of different ones used for four main purposes: transparency and accountability compliance, performance monitoring and benchmarking, assessing LG's financial health and helping deal with exogenous crises. There is no evidence of convergence towards a common set of indicators, even though liquidity and solvency are the most popular dimensions explored by scholars.

Findings highlight the challenges in converging on financial indicators, yet no claim can be made beyond the reviewed material.

Results provide legislators, public managers, investors and rating agencies with insights about trends in financial indicators, their benefits and limitations.

The article focuses on a less popular aspect of recent financial management reforms for local administration, that is the growing fragmentation in LG indicators, accentuated by the need for common assessment tools during unprecedented widespread crises across countries and sectors.

This paper undertakes a structured literature review to analyse the literature on performance management and measurement (PMM) in universities over the last four decades. Over that time, PMM has emerged as an influential force in universities that impacts their operations and redefines their identity.

A structured literature review approach was used to analyse a sample of articles on PMM research from a broad range of disciplines over four decades. This was undertaken to understand the impacts of PMM practices on universities, highlight changes over time and point to avenues for future research.

The analysis highlights the fact that research on PMM in universities has grown significantly over the 40 years studied. We provide an overview of published articles over four decades regarding content, themes, theories, methods and impacts. We provide an empirical basis for discussing past, present and future university PMM research. The future research avenues offer multiple provocations for scholars and policymakers, for instance, PMM implementation strategies and relationships with various government programs and external evaluation and the role of different actors, particularly academics, in shaping PMM systems.

Unlike a traditional literature review, the structured literature review method can develop insights into how the field has changed over time and highlight possible future research. The sample for this literature review differs from previous reviews in covering a broad range of disciplines, including accounting.

Applying the institutional logics perspective to applicant attraction, this study investigates the level of uniformity among preferences for consulting job attributes associated with the institutional logics of the corporation, the profession and the family, and tests for the influence of anticipatory socialization differences.

The study uses a discrete choice experiment with 232 business students. A hierarchical Bayes approach to conjoint analysis uncovers part-worth heterogeneity and allows for subsequent cluster and regression analysis of the choice data.

The findings identify a dominant job-oriented preference type and a minor career-oriented preference type. Anticipatory socialization through personal prior work experience and the occupation of friends decreases adherence to the logic of profession and increases the relevance of the family logic. The parents' occupation has only a minimal influence on preferences.

The study provides attribute-based recommendations on how professional service firms can effectively address the complex expectations of potential applicants in their job ads for an entry position and underlines the role of intra-generational reference groups as important anticipatory socializers.

By testing individual socialization effects at the pre-hire stage and beyond the organizational level, the study fills a void in both the recruitment and the institutional literature.

The paper examines the impact of COVID-19 on bank stock returns over various time scales and frequencies for 36 countries. Moreover, the authors look at the governments' responses to the corona crisis and examine its impact on bank stock returns.

The paper applies continuous wavelet transformation to obtain robust estimates of the co-movement (coherency) between confirmed cases and bank stock returns over time and at different time scales. Furthermore, the authors apply fixed effects panel regression to examine the response of bank stocks to domestic COVID-19 policies.

The results indicate that the number of confirmed COVID-19 cases negatively impacts bank stock returns during different waves of the pandemic in the medium-run. However, there is only little dependence in the very short-run. Moreover, bank stock returns positively react to domestic COVID-19 polices. This demonstrates that governmental interventions not only reduce the spread of COVID-19 but are also able to thereby calm financial markets.

The application of wavelet methods to the field of economics and finance is relatively recent and allows the distinction between short-term and long-term effects. Standard econometric methods, in contrast, only operate within the time domain. This paper combines wavelet methods with conventional econometrics to answer the research question.

Utility strikes have spawned companies specializing in providing a priori analyses of the underground. Geophysical techniques such as Ground Penetrating Radar (GPR) are harnessed for this purpose. However, analyzing GPR data is labour-intensive and repetitive. It may therefore be worthwhile to amplify this process by means of Machine Learning (ML). In this work, harnessing the ADR design science methodology, an Intelligence Amplification (IA) system is designed that uses ML for decision-making with respect to utility material type. It is driven by three novel classes of Convolutional Neural Networks (CNNs) trained for this purpose, which yield accuracies of 81.5% with outliers of 86%. The tool is grounded in the available literature on IA, ML and GPR and is embedded into a generic analysis process. Early validation activities confirm its business value.

Building on behavioral agency theory, the authors explore the role played by corporate governance characteristics as drivers of the diversification strategies of family firms. Specifically, this study aims to investigate the effects of board size and board gender diversity on the likelihood that family firms will execute a diversifying acquisition vis-à-vis a related acquisition. Furthermore, the authors investigate the contingency effects played by foreign directorship and the firm’s listing status.

The hypotheses are tested on an original sample of 213 cross-border acquisitions executed by Italian family firms between 2008 and 2021.

The findings suggest that both large board sizes and greater gender diversity positively affect the diversification of family firms. While the presence of foreign directors magnifies the positive effect of board size, gender diversity discourages diversification in the case of listed firms.

The originality of this study is twofold. First, while prior literature has mostly focused on the family vs nonfamily dichotomy, this paper contributes to an emergent line of research investigating the heterogeneity among family firms’ corporate strategy decisions. Second, by exploring the corporate governance-diversification link in the context of family business, the authors answer to recent calls that diversification by family firms deserves further investigation in light of its highly controversial nature in terms of socioemotional wealth implications and potential mismatch among multiple objectives.