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This paper deals with analyzing the relationships between the domains of the Sustainable Development Goals (SDGs) and the Missions envisaged by the National Recovery and Resilience Plan (NRRP). Specifically, the authors refer to Mission 2 (Green revolution and ecological transition) and to the statistical indicators related to the M2C1 component (Circular economy and sustainable agriculture).

The numerous data available were analyzed at a regional level using multivariate statistical methodologies (Totally Fuzzy and Relative method) capable of summarizing the various information to evaluate the current situation relating to the “circular economy and sustainable agriculture” component. The presence of multiple updated data allows for the development of a holistic approach to the evaluation of the local government policies in place and to be able to monitor the progress of the subsequent intervention policies of the Italian government.

No Findings.

NRRP represents an opportunity for development for the area, providing for reforms and substantial investments for the promotion of circular economy solutions, the improvement of the capacity for efficient and sustainable waste management, the strengthening of the infrastructures for treatment of waste and separate collection, the reduction of the North/South gap.

This paper aims to examine the COVID-19 pandemic’s impacts on the regional progression toward the Sustainable Development Goals (SDGs) through the lens of the adoption of 2030 Agenda by firms from different Italian regions.

Mixed methods were adopted. First, a content analysis was performed on 330 nonfinancial declarations released in the 2019–2021 period by a sample of 110 Italian listed companies from different regional macroareas. Second, regression analyses were run to test the impact of regional localization of businesses on SDGs adoption over pre-/during/post-COVID era.

The regional localization of businesses does not affect the SDGs adoption in the pre-COVID-19 era because Italian firms mainly address social goals. Instead, SDGs adoption is affected by regional localization of businesses both during and post-COVID-19 age, when Northern firms prioritize economic and social goals, whereas Southern firms shift from social to environmental goals.

This study fills the need of considering the subnational specificities in literature on sustainable development by capturing connections between firms, belonging territory, SDGs and COVID-19 crisis.

The objective of this paper is to analyze the relationship between innovation and the development of artificial intelligence (AI) and digital technologies in Europe. The use of digital technologies among European companies is studied through a composite index, while the relationship between innovation and AI is studied through a log-linear regression model. The results of the model have made possible to develop interesting indications for economic and industrial policy.

The use of digital technologies among European companies is studied through a composite index of AI and information technology (ICT) (using the Fair and Sustainable Welfare methodology) with the aim of measuring territorial gaps and to know which European countries are more or less inclined to its use, while the relationship between innovation and AI is studied through a log-linear regression model.

In the paper, two different methodologies were used to analyze the relationship between innovation and the development of digital technologies in Europe. The synthetic indicator made possible to develop a taxonomy between the different countries, the log-linear model made possible to identify and explain the determinants of innovation.

The description of the biunivocal relationship between innovation and AI is a topical and relevant issue that is treated in the paper in an original way using a synthetic indicator and a log-linear model.

本文旨在探討在歐洲、創新與人工智能和數字技術的發展之間的關係。研究人員透過一個綜合指數、去探討歐洲公司之間數字技術的使用狀況。至於創新與人工智能之間的關係, 則以對數線性回歸模型來進行研究。從模型所得的結果, 為我們提供了建議、去訂定適切的經濟和產業政策。

研究人員透過一個人工智能和資訊科技的綜合指數, 去探討歐洲企業之間數字技術的使用狀況 (研究人員使用了公平和可持續福利方法論), 其目標為測量領土差距, 以及確定哪些歐洲國家、大體上傾向於使用數字技術;至於創新與人工智能之間的關係, 則以對數性回歸模型來進行研究。

本文使用了兩個不同的方法、去探討在歐洲、創新與數字技術發展之間的關係。有關的合成指標, 使研究人員可製定一個不同國家間的分類法;而有關的對數線性模型, 則讓研究人員可確立並說明創新的決定因素。

本文使用了合成指標和對數線性模型、去探討創新與人工智能之間的一對一的關係, 這是時下受到關注和適宜的課題;就研究法而言, 本研究確是新穎獨創的。

This chapter contributes to the Public Value (PV) literature in relation to accounting by providing evidence on its content's operationalization through performance measurement. In particular, it establishes the link with Sustainable Development Goals (SDGs), which may work as guiding principles of a public organization’s action. Accordingly, organizations embedding SDGs include them in their strategic decisions and disclose them through performance measurement and narratives.

The SDGs' presence is explored in the PV of a sample of Italian health institutes through documentary analysis of their performance plans. The aim is to verify if and how SDGs are pursued and whether the COVID-19 pandemic has affected PV content.

Besides Goal No. 3 (Health), the PV content of the investigated institutes contains various SDGs. Before the pandemic, their PV was aligned with SDGs mainly related to prosperity, economic growth and social inclusion. In the following period, the number of SDGs increased, introducing planet and environmental protection dimensions. No one explicitly mentions pursuing SDGs, revealing a non-institutionalized sensitivity of managers towards SDGs. The analysis distinguishes between ‘core’ SDGs, revealed mostly by traditional performance measures disclosing the achievement of institutes' mission, and ‘complementary’ SDGs, expressed mostly through narratives. This can derive from performance measurement, which employs the language of performativity, while the contribution to society is relegated in the narratives, making them less incisive.

The purpose of this paper is to show how data mining techniques can improve the performance management of the judiciary, helping judges in steering position with specific and timely measures. It explores different approaches to analyse the length of trials, based on the case of an Italian judicial office.

The paper presents a temporal analysis to compare the timeliness of trials, using data and process mining approaches with the support of a specific software to represent graphically the results. Data were gathered directly from the office data base, improving precision and the opportunity to monitor specific phases of the trials.

The results highlight the progress that can be reached using data mining approaches to develop performance analyses helping courts to correct inefficiencies and to manage the personnel distribution, overcoming the critical comments arisen against traditional KPI (Raine, 2000). The work proposes a methodology to analyse cases deriving from different juridical matters useful to set up a performance monitoring system that could be diffused to different courts.

The limitations of the research regard the analysis of a selected, limited number of cases in terms of judicial matters.

Data mining techniques can improve the performance management processes in providing more accurate feedback to the judicial offices leaders and increasing the organisational learning.

The performance of the judiciary is one of the relevant issues that emerged in the recent decade in the field of public sector reforms. Several reasons explain this interest, which has gone beyond the specific legal disciplines to involve public policy, management, economics and ICT studies.

Considering the literature on the judiciary (Visser et al., 2019; Di Martino et al., 2021; Troisi and Alfano, 2023) the contribution differs as both the methodological approach and the predictive analysis considers the intrinsic differences that define cases belonging to different juridical matters performing a cross-sectional analysis, with a specific focus of process variants.

Knowledge transfer is a crucial ingredient of employee innovation, yet affective work events may disrupt knowledge flow among employees. This study aims to investigate a previously overlooked, yet frequently occurring affective work experience, namely, that of being envied, and examine how perceptions of being envied may drive contrastive knowledge behaviors of sharing and hiding, which subsequently impact employee innovation. The study further examines how the zero-sum game beliefs of the envied individual may moderate these mechanisms.

This study builds on territorial and belongingness theories to delineate the contrastive motivations for knowledge hiding and knowledge sharing. This study tests a moderated mediation model through a multisource survey design involving 225 employees.

The results support the notion that perceptions of being envied are linked to both knowledge hiding and knowledge sharing; however, the indirect effect of being envied on innovation is observed only through knowledge sharing. The indirect positive link between perceptions of being envied and innovation via knowledge sharing is weakened when the envied employee holds high zero-sum game beliefs.

This study advances knowledge scholarship by identifying and testing the organizationally relevant but largely overlooked antecedent of being envied at work. The results provide useful insights to practitioners on how sharing or hiding knowledge serves as a strategic asset in response to being envied at work and how this may in turn impact employee innovation.

This study aims to map and assess the conceptual development of the innovation ecosystem literature.

A bibliometric analysis was performed using the VOSviewer, RStudio software, Bibliometrix and Biblioshiny packages. To accomplish this, 367 publications published between 2006 and 2020 and indexed in the Web of Science and Scopus databases were assessed.

The results demonstrate a rise in research during 2016, with almost 30% of publications concentrated in only six journals. The co-citation analysis presented four clusters: case studies, business and innovation ecosystems (platform approach), open innovation and national and regional innovation systems (territorial approach). We proposed a theoretical framework based on two approaches in the innovation ecosystem literature based on co-citation analysis: platform, which has its roots in the literature on strategy, and territory, grounded in research on economic geography literature.

One of the limitations of the study is that only articles published in journals were analyzed, leaving out of the sample those published in congresses, books and other sources.

This paper contributes to the literature by presenting and clarifying the different conceptual trajectories of research in innovation ecosystems. We also proposed an analytical framework based on the two main approaches to innovation ecosystems – platform and territory. This framework presents the critical elements of managing innovation ecosystems from both perspectives.

This paper aims to analyse how local agri-food systems (LAFS), compared to other production models, can offer innovative responses to the important environmental challenges facing food production under the twin transition. These responses are more conducive to community inclusion and local development.

The paper combines territorial development, clusters and industrial districts literature with studies on agri-food industry environmental problems and twin transition technologies to develop an agri-food systems typology. This typology is based on a territorial approach to environmental challenges of food production and serves to illustrate the ways in which LAFS can provide innovative responses to these challenges.

The study allows to visualise the differences between LAFS and other agri-food production models, showing how the operationalisation and implementation of digitisation occur at territorial level and how rural communities are involved in the process. The theoretical proposal emphasises not assuming that technology is inherently beneficial but ensuring that its implementation is inclusive and generates social value for the communities.

The paper aims to enrich future research by adopting a territorial perspective to study the twin transition challenges associated with food production systems.

It is important for an exporting manufacturer to motivate its foreign channel partners to sell and promote its products. An excellent way to motivate such foreign channel partners is to give them exclusive territories. Unfortunately, there is a lack of knowledge regarding the determinants of territorial exclusivity. This study aims to investigate the relationship between organizational culture and territorial exclusivity and the moderating role of firm size in this relationship.

Survey data were collected from manufacturing small and medium-sized enterprises (SMEs) in Japan. To test the hypotheses, a regression analysis was conducted using the ordinary least squares technique.

Empirical evidence shows that the cultural values of collectivism and uncertainty avoidance influence territorial exclusivity; collectivist exporters are likely to use territorial exclusivity, whereas exporters with high uncertainty avoidance are not likely to use it. Furthermore, the larger the firm size, the smaller the impact of cultural values on territorial exclusivity; this suggests that large SMEs do not rely on their organizational culture to make decisions about exclusive territories.

The export marketing literature emphasizes the advantages of exclusive territories. By contrast, the channel management literature suggests that exclusive territories also have disadvantages. As exclusive territories have both advantages and disadvantages, it is crucial to answer the following question: What kinds of exporting manufacturers grant exclusive territories to their foreign channel partners? By addressing this question, this study contributes to a better understanding of export channel strategy.