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The purpose of this paper is three-fold. Firstly, through selected case studies, to provide an overview of how non-traditional data from digital public services were used as a source of knowledge for policymaking. Secondly, to argue for a design for policy approach to support the successful integration of non-traditional data into policymaking practice, thus supporting data-driven innovation for policymaking. Thirdly, to encourage a vision of the relation between data-driven innovation and public policy that considers policymaking outside the authoritative instrumental logic perspective.

A qualitative small-N case study analysis based on desk research data was developed to provide an overview of how data-centric public services could become a source of knowledge for policymaking. The analysis was based on an original theoretical-conceptual framework that merges the policy cycle model and the policy capacity framework.

This paper identifies three potential areas of contribution of a design for policy approach in a scenario of data-driven innovation for policymaking practice: the development of sensemaking and prefiguring activities to shape a shared rationale behind intra-/inter-organisational data sharing and data collaboratives; the realisation of collaborative experimentations for enhancing the systemic policy analytical capacity of a governing body, e.g. by integrating non-traditional data into new and trusted indicators for policy evaluation; and service design as approach for data-centric public services that connects policy decisions to the socio-technical context in which data are collected.

The small-N sample (four cases) selected is not representative of a broader population but isolates exemplary initiatives. Moreover, the analysis was based on secondary sources, limiting the assessment quality of the real use of non-traditional data for policymaking. This level of empirical understanding is considered sufficient for an explorative analysis that supports the original perspective proposed here. Future research will need to collect primary data about the potential and dynamics of how data from data-centric public services can inform policymaking and substantiate the proposed areas of a design for policy contribution with practical experimentations and cases.

This paper proposes a convergence, yet largely underexplored, between the two emerging perspectives on innovation in policymaking: data for policy and design for policy. This convergence helps to address the designing of data-driven innovations for policymaking, while considering pragmatic indications of socially acceptable practices in this space for practitioners.

The Saint Valentine's Decree (1984) and the ensuing hard‐fought referendum (1985), which reduced the automatisms of scala mobile, started a process of redefinition of wage fixing in Italy, which culminated with the final abolition of scala mobile (1992) and the approval of Protocollo d'intesa (1993). Since then, following new corporatist principles, a national system of centralised wage bargaining (concertazione) and so‐called “institutional indexation” have governed the determination of wages. Does incomes policy generate greater coordination in the process of wage formation? Does it cause greater co‐movement of wages, prices, labour productivity and unemployment? This paper aims to answer these questions with reference to one of the G8 economies.

After testing for unit root each component by using the ADF, Phillips and Perron, DF‐GLS and Zivot and Andrews statistics, the paper tests for co‐integration the so‐called WPYE model using different methods. The Engle and Granger approach is used to assess the impact of incomes policy on the speed of adjustment of real wages, productivity (and unemployment) to their equilibrium value, while the Gregory and Hansen procedure serves as a means to endogenously detect the presence of a regime shift. The paper estimates coefficients before and after the structural break.

Incomes policy based on the 1993 Protocol has caused a regime shift in the process of wage determination. The long‐run estimates of the WPYE model do not generate stationary residuals except when a dummy for 1993 is added. The share of wages over GDP reduces by about ten percentage points in the early 1990s and has stood at about 57 per cent since 1995. The link with productivity is close to one‐to‐one only before the break. The feedback mechanism, as measured by the coefficient of lagged residuals in short‐run estimates, is increased from −0.46 in the pre‐reform to −0.79 in the post‐reform period, suggesting that incomes policy has increased real wage flexibility indeed. In recent years the link between real wages and (very low) labour productivity growth has weakened. In a sense, incomes policy has introduced a new form of (upward) wage rigidity. Last but not least, incomes policy has changed the correlation with the unemployment rate from positive to not statistically significant.

Future developments will focus on disentangling the impact of incomes policy vis‐à‐vis other policy interventions on WPYE and on unemployment.

The analysis calls for a careful revision of the 1993 Protocol aimed at better protecting the purchasing power of real wages without losing control on inflation, and introducing growth‐generating mechanisms.

The paper studies the impact of incomes policy on WPYE and the Phillips curve by means of co‐integration and structural break analysis. It proposes to interpret the effect of incomes policy on the Phillips curve as changing the coefficient of the error correction mechanism that leads real wages to their long‐run equilibrium value.

The purpose of this paper is to introduce the special issue on “Labour, productivity and growth”.

The paper discusses the articles in the special issue, which investigate the main theme – labour, productivity and growth – from different points of view by employing a variety of econometric methods. These include improvement of the evaluation of the impact of labour market flexibility on economic performance, analysis of the macroeconomic law of decreasing returns to labour, a new panel co‐integration method, and a reinterpretation of co‐integration analysis to assess the impact of incomes policy. Institutional variables, in particular the system of industrial relations, are duly considered.

The papers in the special issue highlight different causes of sluggish economic (productivity) growth in Europe, in the light of not only traditional macroeconomic variables, such as total factor productivity and labour market flexibility, but also such factors as neo‐corporatist industrial relations and management practices, which are generally neglected in the literature.

The paper introduces a number of articles proposing innovations in the interpretation and application of a wide range of theoretical approaches and econometric methodologies. It also discusses several policy suggestions for fighting sluggish productivity growth, including investment in research and development, human capital, flexicurity, innovative industrial relations practices and high‐performance workplace practices also considered capable of affecting macroeconomic performance.

This paper aims to understand how companies addressed and revisited their sustainable development goals (SDGs) engagement during COVID-19.

The study conducts semi-structured interviews with the sustainability managers of 16 Italian listed companies acting for the accomplishment of the SDGs. Then, the interviews’ transcripts and the companies’ sustainability reports were thematically analysed to tease out relevant findings.

The findings show that companies have intensified their SDGs efforts during COVID-19, implementing an approach closer to the “Sustainability for Braving Crisis”. The findings unveil the transformational mechanisms which determined and facilitated this improvement at three levels of the business SDGs engagement: “WHY” (general awareness and motivations), “HOW” (governance mechanisms, organizational structure and stakeholder dialogue) and “WHAT” (SDGs identification and prioritization and actions for the SDGs). These findings uncover the mechanisms through which a global crisis may prompt and catalyse sustainable business practices, acting as i) an inspirational and empowering event, ii) an organisational lever and iii) a reference point.

This research has important implications for practice and policy, as it offers managers and stakeholders guidance to understand how companies have reshaped their sustainability practices during the pandemic and drives future corporate responses in times of crisis.

This study shows that a crisis may be a powerful lever to intensify business sustainability practices towards a better contribution to the SDGs.

This study focuses on how companies have revised their SDGs practices when faced with a global crisis such as COVID-19.

This paper aims to develop a conceptual framework that jointly considers Environmental, Social and Governance (ESG) factors and organisational resilience (OR) components to ameliorate organisations' understanding of sustainability’s overall requirements and related decision-making processes.

This paper combines ESG and OR through a 3x3 conceptual matrix, where ESG factors are listed along the vertical axis and OR components along the horizontal axis. This results in nine quadrants, which have been read according to two arrangements: (1) static, looking at the specific characteristics of each single quadrant, and (2) dynamic, investigating the relationships between the different quadrants according to the system theory (ST) lens.

The integration between ESG and OR results in nine organisational typologies, each characterised by a specific focus: (1) green visioning, (2) eco ethos, (3) climate guard, (4) inclusive strategy, (5) empathy ethos, (6) community shield, (7) ethical blueprint, (8) integrity ethos and (9) compliance guard. These typologies and related focuses determine the different strategic options of organisations, the decision-making emphasis concerning ESG factors and OR components and the organisation’s behaviour concerning its internal and external environment. According to ST, the nine typologies interact with each other, emphasising the existence of interconnectedness, interdependence and cascading effects between ESG and OR.

The paper represents a unique attempt to interrelate ESG factors and OR components according to a ST lens, emphasising the dynamic nature of their interactions and organisations’ need for continuous adaptation and learning to make decisions that create sustainable long-term value.

Despite the widespread application and implementation of servitization strategy by manufacturing firms worldwide, little attention has been devoted to its adoption by European-Mediterranean countries, such as Italy. Thus, the purpose of this paper is to fill this gap by investigating if and how Italian manufacturing firms adopt a servitization strategy.

According to the paper’s aim, the survey methodology has been chosen and a specific questionnaire has been constructed by adopting and adapting the questions used by Baines et al. (2010). Key respondents were CEOs and General Managers of the manufacturing firms surveyed.

Findings show the main features and determinants of the adoption of a servitization strategy by Italian manufacturers as well as a comparison between them and UK manufacturers, determining both theoretical and practical implications.

This paper investigates the manufacturing firms located exclusively in the Italian region of Lazio. Thus, even though it is reasonable to believe that they can be considered as representative of the Italian reality, future enrichment of the sample could provide further insights into the investigation of the Italian case.

The paper examines the little-researched adoption of servitization by Italian manufacturing firms, contributing to the servitization research and providing evidence on its trends in a specific European-Mediterranean region.

The purpose of this paper is to identify the main “models of growth” characterising the EU countries in the last two decades, with particular reference to the employment‐productivity relationship, and to reveal the key determinants of productivity.

After a survey of the relevant literature, the empirical section analyses the “models of growth” by graphical inspection, identifying four models (for EU‐27 in the 1990‐2008 period): extensive, intensive, virtuous, and stagnant. Then different econometric investigations (beta convergence, dynamic panel with GMM estimation, fixed effects panel, cross‐section) are used to test the “diminishing returns of employment rate” hypothesis (for the 2000‐2006 period), to assess the convergence processes and to determine the key variables affecting productivity.

The main finding is the confirmation of the hypothesis mentioned: high employment growth is likely to lead to slower productivity growth. Moreover, besides verifying the beta convergence of productivity per worker, the most significant determinants of productivity are the following: education, a transition index, some structural indicators, and a “shadow economy” proxy. Finally, the descriptive analysis shows that “old” EU countries, coming from two decades of “jobless growth”, shifted to an “extensive” growth model; in contrast, transition countries (NMS) followed the opposite path: reducing employment and raising productivity.

It would be advisable to extend the period of the analysis, as soon as new data become available.

The main policy implication is to get the EU Lisbon strategy – i.e. to create “more and better” jobs – working effectively.

The most original finding is the clear assessment of an employment‐productivity trade‐off. Also, the different models of growth are categorised simply and effectively.

The purpose of this paper is to investigate the use of innovative workplace practices in a sample of manufacturing establishments.

The sample comprises manufacturing establishments located in Italy and a comparable sample extracted from the British Workplace Employee Relations Survey (WERS). The paper controls for sector, size, skill quality and industrial relations.

Job rotation and technical training are positively associated with current performance in both samples. On average, British establishments are more productive: the different endowment in terms of workplace practices, skills and industrial relations accounts for 40 per cent of the gap, while the different efficacy of the endowment on performance accounts for the remainder.

In both samples the introduction of team working implies a relatively important advance along the reorganisation process, which was undertaken in the early stages of reorganisation in British establishments but much later in Italian firms. Linking the progression of the reorganisation to non‐convexities in supermodular production functions may be an interesting line of future research.

The purpose of this paper is, through an exploratory analysis, to identify good practices implemented by international museums in the phygital context and their classification in terms of customer experiences, in order to identify innovative cultural value creation and co-creation practices.

The authors adopt a qualitative approach of multiple case studies. The analysis conducted formed the information base through which to proceed with the classification of phygital customer experiences through the extended reality technologies framework

The analysis conducted on the selected international museums shows that the phygital formula can take on different characteristics depending on the technologies used and the purpose to be achieved and can be a useful tool for the co-creation of cultural value.

The originality of this contribution lies in the comparative analysis proposed among the case studies to intercept best practices in the phygital field, in the classification of phygital experiences through a novel frame of reference and in the identification of prospects for improvement of an emerging phenomenon in the literature on cultural sector management.

Blockchain is a technical solution integrating multiple technologies, with the potential to overcome the drawbacks of organizational governance. Given the emergence and prevalence of blockchain, its importance for organizational governance has progressively increased. Therefore, this study aims to analyze how blockchain restructure organizational governance.

This study presents a structured systematic literature review of blockchain-enabled applications across diverse organizational governance models and several case studies to illustrate them. Based on the above analysis, governance mechanisms, transaction upgrading and challenges are proposed.

Based on the literature review and typical applications, the authors summarize the advances in the research on the theoretical and practical applications of blockchain in organizational governance. We also identify the influence mechanisms of organizational governance and investigate transaction upgrading based on blockchain. Finally, the authors discuss three types of challenges (i.e. administrative, technical and environmental) to the relationship between blockchain and organizational governance. Along with the development of blockchain applications, the impact of blockchain on organizational governance has progressed in both theory and practice. Therefore, these findings will have significant implications for both academics and practitioners.

This paper makes three key theoretical contributions: we review the literature on the impact of blockchain on organizational governance and present typical cases to illustrate it; propose four governance mechanisms for the application of blockchain in organizational governance; and propose an innovating-and-matching-oriented model of transaction upgrading based on blockchain.