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Through a comprehensive review of the literature on open innovation (OI), this study aimed to achieve two objectives: (1) to identify the main thematic areas discussed in the past and track their evolution over time; and (2) to provide recommendations for future research avenues.

To achieve the first objective, a method based on text mining was implemented, with the analysis focusing on 1,772 journal articles published between 2003 and 2018. For the second objective, a review based on recent and relevant papers was conducted for each thematic area.

The paper identified nine thematic areas explored in existing research: (1) context-dependency of OI, (2) collaborative frameworks, (3) organizational dimensions of OI, (4) performance and OI, (5) external search for OI, (6) OI in small and medium-sized enterprises, (7) OI in the pharmaceutical industry, (8) OI and intellectual property rights, and (9) technology. The analysis of the most recent papers belonging to the more investigated areas offers suitable suggestions for future research avenues.

To the best of the authors’ knowledge, no review has yet been undertaken to reorganize the OI literature.

The purpose of this paper is to review the contributions of the special issue papers while presenting four broad research avenues.

The paper is based on a review of current literature on climate change and carbon accounting.

The authors propose four broad avenues for research: climate change as a systemic and social issue, the multi-layered transition apparatus for climate change, climate vulnerability and the future of carbon accounting.

The authors connect this study with the requested institutional changes for climate breakdown, making the paper relevant for practice and policy. The authors notably point to education and professions as institutions that will request bold and urgent makeovers.

The authors urge academics to reconsider climate change as a social issue, requiring to use new theoretical lenses such as emotions, eco-feminism, material politics and “dispositifs” to tackle this grand challenge.

This paper switches the authors’ viewpoint on carbon accounting to look at it from a more systemic and social lens.

The purpose of this paper is to analyse the possibility for firms to consider institutional settings to systematically direct dispersed individual efforts of discovery and invention towards objects (products or processes) of their interest in order to enhance their value creation capacity.

The authors conduct a comparative analysis of the different institutional settings within which software products are invented and produced – closed producer-centred model, open user-centred model, and hybrid interactive producer-user model.

The authors draw indications regarding the possibility to design institutional settings for value creation and the potential pitfalls tied to these strategic tools.

A theoretical framework is elaborated in order to understand the different ways in which institutional contexts influence and direct value creation processes. The model analysed shows the firms’ deliberate attempt to stimulate a dynamic process of social interaction and communication which may foster higher levels of creativity and innovation. In order to guarantee the necessary accessibility and to sufficiently motivate external programmers towards the perception of a new code, the firm has to surrender the traditional source through which it appropriates value: barriers to the accessibility of the code developed through IPRs. The adoption of an institutional setting which facilitates dynamic value creation processes suggests, therefore, the need to turn to dynamic mechanisms for value appropriation in parallel.

Many firms are investing in digital services to improve customer experiences. Virtual service agents, or “e-service agents” (“e-agents”) such as chatbots, are examples of these efforts. Chatbots are types of virtual-assistant software programs that interact with users through speech or text. This paper aims to investigate whether the perceived hedonic and utilitarian attributes of chatbots can influence customer satisfaction and, consequently, their relationships with brands.

Data were collected through a questionnaire-based survey among a sample of Italian consumers. A convenience sampling technique was used. Data were then analyzed through Partial Least Squares Structural Equation Modeling to provide a prediction-oriented model assessment. The findings were then complemented with an importance–performance map analysis (IPMA) to gain more detailed insights and actionable guidelines for managers.

The findings highlighted that the perceived hedonic and utilitarian attributes of chatbots positively influenced customer satisfaction and improved customer relationships with the brands. However, the IMPA highlighted that the performance levels of two most important attributes – system quality and experience with chatbot – could be improved resulting in additional improvements of customer satisfaction.

This study suggests the importance of firms’ investments in and adoption of e-agents to strengthen consumer–brand relationships and of considering both the hedonic and utilitarian attributes of their e-agents.

This article attempts to enrich and consolidate the growing body of literature concerning the impacts of new technologies – and, specifically, chatbots – in service marketing.

The purpose of the paper is to build a real-time integrated turboprop take-off model which fully takes the interaction between diverse parts of aircraft into consideration. Turboprops have the advantage of short take-off distance derived from propeller-wing interaction. Traditional turboprop take-off model is inappropriate because interactions between diverse parts of aircrafts are not fully considered or longer calculation time is required. To make full use of the advantage of short take-off distance, a real-time integrated take-off model is needed for analysing flight performance and developing an integrated propeller-engine-aircraft control system.

A new integrated three-degree-of-freedom take-off model is developed, which takes a modified propeller model, a wing model and the predominant propeller-wing interaction into account. The propeller model, based on strip theory, overcomes the shortage that the strip theory does not work if the angle of propeller axis and inflow velocity is non-zero. The wing model uses the lifting line method. The proposed propeller-wing interaction model simplifies the complex propeller-wing flow field. Simulations of ATR42 take-off model are conducted in the following three modes: propeller-wing interaction is ignored; influence of propeller on wing is considered only; and propeller-wing interaction is considered.

Comparison of take-off distances and flight parameters shows that propeller-wing interaction has a vital impact on take-off distance and flight parameters of turboprops.

The real-time integrated take-off model provides time-history flight parameters, which plays an important role in an integrated propeller-engine-aircraft control system to analyse and improve flight performance.

The real-time integrated take-off model is more precise because propeller-wing interaction is considered. Each calculation step costs less than 20 ms, which meets real-time calculation requirements. The modified propeller model overcomes the shortage of strip theory.