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This paper aims to provide a helpful tool for those who plan to implement blockchain-based solutions for the governance of the electronic medical record (EMR) in health-care settings. The goals are to identify each type of stakeholders involved in these projects and to clarify the relevance, to achieve success, of their readiness, intended as availability and ability to adopt blockchain.

The chosen methodology is a multiple case study on three initiatives that used blockchain to manage EMRs. This study relied on multiple sources of evidence. The primary data consisted of two rounds of semi-structured interviews with different informants. This study followed a grounded theory approach and performed within- and cross-case analyses.

This study identified the types of stakeholders – nodes and not-nodes – of the network and how their readiness level affects the implementation of blockchain-based projects applied to EMR. The nodes (e.g. patients and doctors) are pivotal in making the network working once this has been constructed. Out of the four readiness dimensions suggested by literature, motivational readiness, has the higher impact. Not-nodes stakeholders play a pivotal role in the project’s pre-implementation phase. For them, structural readiness is the dimension with the higher relevance.

To the best of the authors’ knowledge, it is the first time that a paper analyses the differences between nodes and not-nodes stakeholders of the blockchain network, in terms not only of type but also of readiness. Identifying the readiness level to implement successful projects is a fundamental step that has never been analysed in the health field.

As various scholars have pointed out, the exponential growth in digital technologies has resulted in significant improvements to many business processes, and has also played a significant role in the field of innovation. The purpose of this paper is to organise the contributions of this special issue according to a framework that considers three topics currently being debated extensively in literature: innovation inputs, innovation processes and innovation outcomes.

Papers in this special issue adopt both qualitative and quantitative approaches based on the purpose of the study, which gives also a methodological variety to the special issue.

Papers in this special issue show that because of digital technologies: first, inputs are progressively becoming interrelated, making most of innovation endeavours happening in inter-organizational ecosystems of actors; second, innovation processes are gradually being compressed, anticipating and enhancing the phases in which customer feedback is gathered and employed; and finally, innovation outputs are increasingly taking the form of platforms used to create value by matching the supply of an asset with demand.

The value of this and other papers included in the special issue consists of embracing the topic of digital innovation from a managerial standpoint, contributing to the understanding of how the innovation process and other business processes may be affected by the use of digital technologies.

The purpose of this paper is to understand how digital technologies can help healthcare organisations and improve the exploration-exploitation paradox over time. The authors explore inputs, processes and outcomes of implementing digital transformation programs and advance four testable propositions.

The authors conducted multiple case studies with embedded units of analysis: digital transformation processes; hospitals; and regional healthcare systems. Primary sources come from 107 semi-structured interviews with key informants within 14 Italian hospitals between 2009 through 2011.

Three complementary paths emerge as fundamental to balance exploratory and exploitatory efforts in healthcare: assets digitalisation within hospitals; digitally based process integration; and disruptive decision-making through analytics. Intra- and inter-path characteristics are discussed to show how digital transformation can both move hospital within the exploration-exploitation space.

By its very nature, this study is exploratory. Notwithstanding the number of cases and interviews, its generalisability is limited.

Digital transformation programs are fundamental to resolve the tensions raised by the exploration-exploitation paradox. Their implementation leads to better performance (cost reductions, quality improvements). A framework is provided for practitioners to make better decisions.

This study sheds new light on how digital technologies are actually adopted and adapted in healthcare contexts. It does it by entailing a longitudinal perspective.

This paper explores smart work (SW), a work practice characterized by spatial and temporal flexibility, supported by technological tools, and that provides all employees of an organization with the best working conditions to accomplish their tasks. Specifically, the purpose of this paper is to identify whether firms adopt different SW models, explore complementarities between the factors that can lead to choose a SW model, and figure out whether contingent variables matters in the implementation of a particular SW model.

This study is based on: a survey delivered in 2013 to 100 Human Resources directors of medium and large Italian organizations to collect preliminary evidence on SW; and four embedded case studies based on 49 semi-structured interviews to better explain the findings achieved in the quantitative analysis.

Four SW models can be chosen by companies. They are named inconsistent, analogical, digital and complete SW. They are different according to investments in the enabling digital technologies, in trans-formations of the organizational policies and in workspace settings, according the contingent conditions where firms operate. Results show that there are complementarities between the elements that characterize a SW model and that at least two elements are developed in each SW model. In case all the three elements are developed, companies achieve higher labour productivity.

The paper unpacks the elements that can generate SW environments by deepening the complementarities that can be exploited among information and communication technologies, work place and work practice innovation, and by evaluating their development on employees’ performance.

This paper explores how adaptive organizations, companies capable of continuously adapting their organizational model, dynamically solve the universal problems of organizing.

The authors applied grounded theory to data acquired from six interpretative case studies, collected in two rounds of interviews (15 in total), then completing and validating the study’s evidence through triangulation with several secondary data sources.

In adaptive organizations, polyarchies and intrapreneurial employees are essential to shape the division of labour, leading to high levels of autonomy and empowering individuals and teams, while reducing bureaucracy and hierarchy. In terms of the integration of effort, digital solutions are preferred to social proof in the provision of information, while the authors note that incentives are always geared towards developing strong higher-order dynamic capabilities.

This paper has some limitations that could be addressed in future research, including longitudinal studies to analyse the link between the universal problems of organizing and a company's dynamic capabilities.

Adaptive organizations go beyond tech firms in responding to the universal problems of organizing work by making specific use of digital technologies.

The paper studies how companies should organize themselves so that they continuously adapt to an ever-changing competitive environment.

This chapter aims to build a systematization of the current theoretical and empirical academic contributions on smart working (SW) in the organization studies domain and to examine which are the main paths that researchers are concerning themselves with, with specific attention being paid to the new meaning that the work itself has acquired in the model proposed by SW. Particular consideration is devoted to an analysis of the characteristics of the present debate on this construct and the meaning of SW, identifying two different – and contrasting – approaches: one considers it as a totally new concept; the other is notable for its continuity with previous arrangements such as telework. Further, some relevant concepts, strictly related to that of SW in working environments are considered. In the last part of the chapter, some key points for further research are proposed to create stimuli for discussion in the community of organization studies and HRM scholars and among practitioners, given from the perspective of deepening the change in progress, the relevance for which there is general consensus.

Drawing on the experience of the Observatories, a set of interconnected research centers in Italy, this chapter explains why academics are in one of the best positions to orchestrate interorganizational initiatives of change and development, and highlights two prerequisites that appear necessary to render salient this orchestrator role of academics: (i) the extensive use of multiple approaches of collaborative research and (ii) the creation and maintenance of a platform allowing the management and diffusion of the network-based learning mechanisms underlying each change and development effort. The contributions extend existing knowledge on organization development and collaborative research.

Radio frequency identification (RFId) technology has a great potential to improve process efficiency and effectiveness. However, because of the variety of application areas and achievable benefits, structured assessment models are needed to support managers in the adoption decision. The purpose of this paper is to describe a structured method to support the evaluation of the benefits enabled by RFId technology in medical treatment support in the healthcare industry. The method, and its application to an Italian case study, are deeply illustrated so as to increase the knowledge available to decision makers.

The research underlying this paper has modelled the relationship between the technology and the performance driver of the target process, and then between the performance driver and the measurable key performance indicators of that process. This knowledge, focused on the healthcare industry but still quite general, has been formalised into 12 causal maps. Starting from these maps, a six-step procedure to prioritise the analysis, tailor the maps and adapt (or develop) analytical models to estimate the benefits is presented. The overall method and its application to an Italian case study are deeply illustrated so as to increase the open available knowledge to decision makers.

The findings are twofold: first, the knowledge represented by the causal maps; and second, the findings of the case study, which shows that efficiency benefits can cover the operative expenses of RFId adoption, but need to be integrated with effectiveness benefits in order to fully justify the investment costs.

The paper provides a contribution for both researchers and practitioners. As the former are concerned, the paper is a first attempt to fill the existing lack of structured approaches concerning the evaluation of potential benefits of RFId for product traceability within a healthcare facility. As for the latter, the presented method has been developed to practically support all those managers who are evaluating whether to adopt RFId technology in their organisation or not. This contribution has a relevant practicality, as it helps decision makers to address their decisions relying on a sound conceptual baseline, and on objective evaluations.

This study seeks to further the current debate about how to systematically improve hospital performance by enhancing and balancing knowledge exploration and knowledge exploitation capabilities through the development of an electronic medical record (EMR).

The study has an interpretative, inductive perspective, based on multiple and embedded case studies. Three large size Italian hospitals that have introduced an EMR were considered. Evidence was gathered by triangulating multiple sources of evidence.

Three emergent strategies of EMR development are identified. Pros and cons of each strategy are stated and a set of propositions to be tested in further research are formulated. These results provide hospital managers and professionals with clearer guidelines about how to improve performance by implementing a tailored strategy to balance knowledge exploration and knowledge exploitation through the development of an EMR.

Most of the literature on EMRs is focused on the benefits, the barriers and the enablers of their adoption. Little is understood about how hospital managers and professionals might leverage on the EMR to ambidextrously combine knowledge exploration and knowledge exploitation, and thus increase hospital performance. The study addresses this gap and offers original insights to advance both theory and practice.