Showing papers on "Open innovation published in 2019"

Micro- and Macro-Dynamics of Open Innovation with a Quadruple-Helix Model

Abstract: This paper explores how sustainability can be achieved through open innovation in the current 4th industrial revolution. Through a literature and practice review, we identify micro- and macro-dynamics of open innovation in addition to the dynamic roles of industry, government, university, and society. In particular, the industry continuously adopts open platforms to create and maintain ecosystem innovation. The government’s role has changed from regulation control toward facilitation. Universities have become proactively engaged in multiple areas, from technology transfer to knowledge co-creation. Societies and customers have started to form new concepts, R&D, and commercialization, resulting in a shared economy. Based on the analysis, we propose a conceptual framework to understand open innovation micro- and macro-dynamics with a quadruple-helix model for social, environmental, economic, cultural, policy, and knowledge sustainability. Furthermore, this provides an overview of the special issue, “Sustainability of Economy, Society, and Environment in the 4th Industrial Revolution”, which aims to respond to the 4th industrial revolution in terms of open innovation and cyber-physics from manufacturing to the service industry.

Strategic Management of Open Innovation: A Dynamic Capabilities Perspective

Abstract: Open innovation has become well established as a new imperative for organizing innovation. In line with the increased use in industry, it has also attracted a lot of attention in academia. However,...

Sustainable Tourism in the Open Innovation Realm: A Bibliometric Analysis

Abstract: This study evaluates bibliometric analysis of sustainable tourism in the open innovation realm, depicts emerging themes, and offers critical discussion for theory development and further research. Through the use of bibliometrix, this paper investigates the amount of studies conducted in this area and verifies if such studies have represented a contribution to the evolving research in the field of sustainable tourism. Specifically, the paper identifies whether and to what extent scholars have explored these interconnections and maps to get to a conceptual structure of the field under investigation. The results identify the development status and the leading trends in terms of impact, main journals, papers, topics, authors, and countries. The analysis and the graphical presentations are crucial, as they can help both researchers and practitioners to better understand the state of the art of sustainable tourism in the experiential and digital era.

Knowledge transfer in open innovation: A classification framework for healthcare ecosystems

Abstract: Despite the abundance of research in open innovation, few contributions explore it at inter-organizational level, and particularly with a focus on healthcare ecosystem, characterized by a dense network of relationships among public and private organizations (hospitals, companies and universities) as well as other actors that can be labeled as “untraditional” player, i.e. doctors, nurses and patients. The purpose of this paper is to cover this gap and explore how knowledge is transferred and flows among all the healthcare ecosystems’ players in order to support open innovation processes.,The paper is conceptual in nature and adopts a narrative literature review approach. In particular, insights gathered from open innovation literature at the inter-organizational network level, with a particular attention to healthcare ecosystems, and from the knowledge transfer processes, are analyzed in order to propose an interpretative framework for the understanding of knowledge transfer in open innovation with a focus on healthcare ecosystem.,The paper proposes an original interpretative framework for knowledge transfer to support open innovation in healthcare ecosystems, composed of four main components: healthcare ecosystem’s players’ categories; knowledge flows among different categories of players along the exploration and exploitation stages of innovation development; players’ motivations for open innovation; and players’ positions in the innovation process. In addition, assuming the intermediary network as the suitable organizational model for healthcare ecosystem, four classification scenarios are identified on the basis of the main players’ influence degree and motivations for open innovation.,The paper offers interpretative lenses for managers and policy makers in understanding the most suitable organizational models able to encourage open innovation in healthcare ecosystems, taking into consideration the players’ motivation and the knowledge transfer processes on the basis of the innovation results.,The paper introduces a novel framework that fills a gap in the innovation management literature, by pointing out the key role of external not R&D players, like patients, involved in knowledge transfer for open innovation processes in healthcare ecosystems.

Open Innovation, Generativity and the Supplier as Peer: The Case of Iphone and Android

Abstract: The diffusion of various forms of digital technologies has acted as a disrupting force in several industries, promoting open and distributed innovation processes. In this paper we argue that the supplier in open innovation networks tends to get a more active role as a creative peer producer, rather than merely a contractual deliverer. A comparative case study of the mobile phone platforms iPhone and Android is used to analyze this shift in innovative value creation. The notion of generative capacity is introduced to the research on open innovation, suggesting that it is generativity rather than openness that drives the platforms’ aggregated wealth. The two cases from the mobile phone industry illustrate that innovation initiatives can successfully approach generativity in different ways and that both openness and control are important to facilitate supplier contributions.

Open innovation practices and related internal dynamics: case studies of Italian ICT SMEs

Abstract: Purpose The purpose of this paper is to shed light on challenges and facilitating factors of open innovation practices (OIP) implemented by small- and medium-sized enterprises (SMEs). Design/methodology/approach The empirical research has been conducted on eight SMEs operating in the ICT sector, through a qualitative approach involving comparative case studies. Findings The findings drawn from the interviews indicate that each OIP established entails specific challenges and facilitating factors that SMEs have to face to sustain the open innovation journey and foster competitiveness. These findings helped to draw some important managerial implications and provide insights to SMEs willing to open innovation processes. Originality/value The study identifies OIP used in empirical studies to explore specific challenges and facilitators for each OIP, in the context of SMEs. Previous studies mostly focussed on open innovation sources and scarcely investigated internal dynamics of specific OIP.

Public–private innovation: barriers in the case of mobility as a service in West Sweden

Abstract: Departing from open innovation (OI), this case study explores the development of Mobility as a Service (MaaS) in West Sweden. An analysis of 19 interviews reveals how representatives from involved actors perceive internal and external barriers as hampering the regional public transport authority’s attempts to collaborate with private actors, and that the perception of barriers is incongruent across public and private actors. Transferability to other cases of public–private OI is discussed, and implications for public actors are proposed. The paper expands the knowledge of preconditions for MaaS’ development and of the unique conditions for OI in public–private settings.

The mediating role of supply chain collaboration on the relationship between information technology and innovation

Abstract: The high level of competition in the globalized business environment forces companies to innovate to remain competitive. Previous literature often cites information technology (IT) and supply chain collaboration as direct contributors to product innovation and IT as a direct enabler of supply chain collaboration. This suggests that IT could have an indirect effect on product innovation through supply chain collaboration, although this relationship has not been addressed yet. This paper aims to analyze empirically the direct impacts of IT and supply chain collaboration on incremental and radical product innovation and the indirect effect of IT on both types of product innovation through supply chain collaboration by using data collected from a sample of 200 manufacturing firms.,Structural equation modeling was used to check the research hypotheses with a sample of 200 manufacturing companies.,The results show supply chain collaboration has a positive effect on technological innovation, showing that the collaboration with external agents foster both incremental and radical innovations. Furthermore, results show that IT directly enhances both types of product innovation (incremental and radical) indirectly through supply chain collaboration.,This article supports the pursuit of open innovation that suggests the need to acquire external knowledge to be able to develop innovation projects. The use of tools that facilitate this transmission of knowledge becomes indispensable in environments in which companies must be involved in supply chains in which different external agents intervene and in which collaboration can promote the creation of synergies and superior competitive advantages.,Innovation requires more and more the use of knowledge management practices that capture external information to be used in the creation of new products. In this case, collaboration within a supply chain facilitates incremental and radical innovations. However, to strengthen this transfer of information and the adoption of behaviors that stimulate innovation, the company must use ITs.,This paper focus on the indirect effect of IT on product innovation through the creation of the collaborations with external agents. In spite of the importance of this relation, it has been poorly studied by previous literature. The paper’s greatest interest lies in the fact that ITs not only facilitate the transmission of knowledge but also facilitate other types of behavior among supply chain agents that invite collaboration and generate innovations.

Managing open innovation: The roles of empowering leadership and employee involvement climate

Abstract: The purpose of this paper is to examine the relationships between empowering leadership style and two types of open innovation: inbound and outbound. The intervening mechanism of employee involvement climate in these relationships is also investigated.,The paper uses data collected using a questionnaire survey from middle and top managers working in various firms in northern India.,Results reveal that empowering leadership positively affects both types of open innovation. Thus empowering leadership supports followers to seek, integrate and diffuse new ideas and knowledge to improve open innovation outcomes. Further, the mediating role of employee involvement climate is established for empowering leadership-inbound open innovation link. This suggests that an empowering leadership style creates an employee involvement climate that empowers employees and involves them in relevant decision-making which consequently enhances a firms inbound open innovation performance.,This study used a cross-sectional research design and a relatively small sample size. These limitations can affect generalizability of the findings.,The paper contributes to leadership and open innovation literatures and provides insights into how the practitioners can use an appropriate leadership style to maximize success in the open innovation paradigm. The study is one of the first to empirically shed light on this strand of open innovation research.

User Motivation and Knowledge Sharing in Idea Crowdsourcing

Abstract: We investigate how the propensity to trust, intrinsic motivation, and extrinsic motivation drive the intentions of individuals to share knowledge in idea crowdsourcing. Building on motivation theories and Uses & Gratifications (U&G) approach, we conducted a web-based survey within IdeasProject, an open innovation and brainstorming community dedicated to harvesting ideas. Based on a sample of 244 users, our research shows that the key driver of knowledge-sharing intentions is made up of two intrinsic motivations — social benefits and learning benefits. We also found that recognition from the host company affects intention to share knowledge. From the management point of view, the relative importance of social integrative benefits calls for better facilities available for users to be able to help each other in formulating and developing their ideas. Learning and creativity could be inspired by feedback from professionals and experts, while providing insight into technological advances and features dealing with the current tasks.

Leveraging open innovation to improve society: past achievements and future trajectories

Abstract: Open innovation (OI) is an approach which describes a purposive attempt to draw together knowledge from different contributors to develop and exploit innovation. It has become clear that OI directly benefits organisations' economic performance and resilience, but researchers, practitioners, and policy makers became also convinced that OI might be the way forward to tackle the world’s most pressing societal challenges, representing unresolved Grand Challenges, which can only be weathered by diverse sets of collaborative partners that join forces. Although anecdotal evidence points at how OI practices can be employed to achieve societal impact not only in private firms but also in public organisations, very little understanding exists ‐beyond anecdotal‐ to link OI to societal impact. This special issue has the ambition to start the discussion and establish a framework as the stepping stone to tackle this complex research gap.