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Literature on the motives influencing consumers’ intention to use peer-to-peer (P2P) platforms has become vast and fragmented. The purpose of this paper is to shed light on this research stream by applying a novel methodological approach that reveals the existence of alternative combinations of motives that equally boost consumers’ intention to use P2P accommodation.

The methodological approach builds on the complexity theory and includes both linear and nonlinear techniques. The empirical analysis combines multiple regression analysis and fuzzy-set qualitative comparative analysis (fsQCA). The sample comprises 458 users of a leading P2P accommodation platform.

The fsQCA reveals four distinct combinations of motives. Social interaction and social esteem, either combined themselves or in partial combination with economic benefits, emerge as two important drivers of behavioral intention to use P2P accommodation. Sustainability appears in three of the combinations.

This paper contributes to the P2P accommodation literature by adopting a novel methodological approach that shows the complexity behind consumers’ intention to use P2P accommodation. Consumer motives cannot be considered as separate entities because their effect on consumer intention depends on the interplay among them. Therefore, the different combinations of motives should be managed simultaneously.

The research aims to investigate how individuals can be persuaded to make purchases through repeated and personalized messages. Specifically, the study proposes a framework of the potential benefits and risks of the online behavioral and data-driven digital advertising (OBA), which can help researchers and practitioners to better understand shopping behavior in the online retailing setting. In addition, the research focuses on the role of privacy concerns in affecting avoidance or adoption of OBA.

The authors apply a structural equation modeling (SEM) approach with partial least square (PLS) regression method to test the research hypotheses through data coming from a structured questionnaire.

OBA is a controversial type of advertising that activates opposing reactions on consumers' perspective. Specifically, acceptance of the OBA is positively related to relevance, usefulness and credibility of the personalized advertisements, while the intention to avoid personalized ads is strictly related to the privacy concerns. Consequently, OBA acceptance and avoidance affected the click intention on the ad and the behavioral intention that are decisive for the success of data-driven digital advertising.

Prior research came up with complex theoretical frameworks that explain antecedents of OBA focusing only on ethical issues in marketing, on the effectiveness of a single OBA campaign or on how to create a successful advertising campaign. However, no study focuses on the intended or actual behavior of shoppers. Specifically, filling the gap in the existing literature, our research applies an SEM approach to identify both benefits and risks and the antecedents of the actual behavior of individuals in terms of actual purchases promoted by OBA.

Open innovation (OI) literature suggests that firms can improve their innovation performance by learning from a large set of actors in the innovation process. However, the extant literature has overlooked the “who” question: which partners should be included in the different phases of the innovation funnel? How should they be selected? This paper aims to offer, while focusing in the early phases of the innovation process, a list of possible criteria for partner evaluation and suggests a structured methodology for their selection.

An empirical test of both the criteria and the methodology is presented with reference to a company operating in the Advanced Underwater Systems sector. The authors propose a peer-based modification of intuitionistic fuzzy (IF) multi-criteria group decision-making with TOPSIS method (peer IF-TOPSIS). IF-TOPSIS allows coping with subjectivity, imprecision and vagueness in group decision-making problem under multiple criteria.

The paper proposes an innovative application of a peer-modified version of IF-TOPSIS to a challenging and complex decision problem – partner selection for OI – which is usually subjected to uncertainty and evaluation from multiple experts.

This work contributes to the extant literature advancing the criteria that could be used in the selection process, avoiding focusing on single specific aspects of the collaboration phases or on specific types of partners (suppliers).

In the past decade, in the space industry, many initiatives intended at offering open access to big data from space multiplied. Therefore, firms started adopting business models (BMs) which lever on digital technologies (e.g. cloud computing, high-performance computing and artificial intelligence), to seize these opportunities. Within this scenario, this article aims at answering the following research question: which digital technologies do impact which components the BM is made of?

An exploratory multiple case study approach was used. Three cases operating in the space industry that lever on digital technologies to implement their business were analyzed. Despite concerns regarding reliability and validity, multiple case studies allow greater understanding of causality, and show superiority respect to quantitative studies for theory building.

Big data, system integration (artificial intelligence, high-performance computing) and cloud computing seem to be pivotal in the space industry. It emerges that digital technologies involve all the different areas and components of the BM.

This paper sheds light on the impact that digital technologies have on the different BM components. It is only understanding which technologies can support the value proposition, which technologies make the infrastructural part able to support this proposition, which technologies may be helpful for delivering and communicating this value to customers and which technologies may help firms to appropriate the value that it is possible to seize the impact of digital technologies on BM.

The role of information and communication technologies (ICTs) and digital platforms in enabling connectivity and collaboration among actors is neglected when dealing with outbound open innovation (OI). Moreover, the outbound OI process is not currently defined in a univocal way. Thus, this paper aims to outline the outbound OI phases and to explore role and capabilities of ICTs in supporting it.

Through a literature review approach, the authors specified the outbound OI process. Hence, the authors leveraged the similarities between the knowledge management process phases and the outbound OI phases for developing a conceptual framework that could match the outbound OI phases with acknowledged categories of ICT tools.

Through a process-view, the authors outlined outbound OI as a three-phase process. The authors developed a matrix-shaped framework in which the columns represent the three outbound OI process phases, while the rows are three ICT categories that could be suitable for supporting the outbound OI process.

The framework is designed to guide a deep understanding of how ICTs could support specific phases of the outbound OI process. In so doing, it could be useful for software developers interested in the preliminary design of an ICT platform for outbound OI.

The conceptual framework proposal as follows: specifies a detailed, process-oriented definition of the outbound OI; allows to identify the main ICT categories supporting the phases of the outbound OI process; and provides guidance for further exploration about the role of ICT in outbound OI.

The aim of this paper is to develop the conceptual design of an information and communication technologies (ICT) platform supporting the inbound open innovation (OI) process within the technological developments business unit of Leonardo Defence Systems.

After a preliminary phase concerning the context analysis, methodology includes three main steps: conceptualization of functions; preliminary design; and conceptual design of the system/SW architecture. In each of these phases, the authors tried to merge evidence from the scientific literature with empirical insight emerging from the field.

Results report the conceptual design proposal for an integrated ICT platform supporting the OI. It includes the conceptualization of main functions, the preliminary design deriving from use cases and the proposal for the overall system architecture and data model.

The research focuses only on the conceptual design phase; at this stage, the platform has not been still implemented or tested. Also, generalizability concerns may arise from the single-application context.

The outcoming conceptual design can be useful for firms that open their boundaries to external partners, as well as for software developers which could draw on it. Firms approaching similar OI challenges can re-contextualize the platform to their own setting.

Originality of this research relies on the attempt to show how ICT can support firms in their OI processes and, secondly, to support firms aiming to create a positive environment that encourages people at leveraging existing external technological opportunities and sources of knowledge. In so doing, a systematic design approach to the definition of the conceptual proposal is also pursued.

Intellectual property protection mechanisms (IPPMs) include a variety of methods suitable for protecting valuable intangible assets of companies, and it is of great relevance to study how companies use these mechanisms to ensure the appropriability of innovation, in a context in which innovation is increasingly open. Indeed, there is a tension between the aim to share knowledge with external partners and the need to protect valuable know-how. The purpose of this paper is to investigate the relationship among the use of IPPMs, open innovation (OI), and the innovation performance of companies.

The study is based upon a survey conducted on 477 firms from Finland, Italy, Sweden, and UK in 2012.

The study shows that IPPMs have an indirect impact on innovation performance, mediated by the degree of openness. More precisely, IPPMs positively influence the level of openness, which, in turn, positively influences the innovation performance.

The empirical analysis contributes on two issues widely debated in the literature: the impact of IPPMs on innovation performance and the role of IPPMs as enablers or disablers of OI.

Mental health interventions for Italian prisoners with mental disorders remain a problematic issue, despite radical changes in general psychiatric care and a 2008 major government reform transferring mental health care in prison to the National Health Service. The aim of this study is to describe the mental health intervention model implemented since January 2020 for prisoners allocated in the Parma Penitentiary Institutes (PPI). This approach is specifically based on specialized, “person-centered” and “person-tailored” therapeutic-rehabilitation plans in line with psychiatric treatments usually provided in community mental health-care centers of the Parma Department of Mental Health.

All the processes and procedures included in the PPI intervention model were first carefully illustrated, paying special attention to the service for newly admitted prisoners and each typology of specialized therapeutic-rehabilitation treatment potentially provided. Additionally, a preliminary descriptive process analysis of the first six months of clinical activity was also performed.

Since January 2020, 178 individuals entered the PPI service for newly admitted prisoners. In total, 83 (46.7%) of them were engaged in the services of the PPI mental health-care team (35 with pathological addiction and 48 with mental disorders): 56 prisoners were offered an integrated mental health intervention and 27 exclusively an individual psychological or psychiatric treatment.

The results support the potential applicability of an integrated mental health intervention in prison, planning a person-tailored rehabilitation in close collaboration with the prisoners, their families and the local mental health/social services.