Explore the vast range of titles available.

It is widely acknowledged that enhancing innovation capability is an inevitable requirement for the survival and sustainable growth of firms operating in the information technology sector. Therefore, this study was conducted to explore the relationship among organizational culture, knowledge management and innovation capability in the open innovation environment to provide useful suggestions and recommendations for managerial practices within the high-tech industry. Primary data collected from 182 high-tech firm's representatives were processed by using the Structural Equation Modeling approach. The results showed that knowledge management was strongly correlated with innovation capability. The positively significant relationship between organizational culture and knowledge management was also confirmed. Overall, the findings suggest that an open innovation culture of an organization in which mutual trust, collaboration and learning are promoted by supportive and participative leaders is more likely to increase the efficiency of knowledge management practices; thus, eventually lead to enhanced innovation capability of the firm.

The paper reports recent developments of Open Innovation Environments in a focus of the European Union research projects. It presents a new extension of the open access computational electromagnetics platform to the modeling of coupled electrochemical phenomena occurring at electrolyte/electrode interfaces. The problems are solved using coupled Laplace / Poisson and drift-diffusion equations, which create a basic model of ion transport process in the electrolyte, as in e.g. in popular Li-ion batteries. The developed coupled FDTD solver is validated against analytical solutions for the electrostatics and independent FEM solutions for the electrochemistry. It is prepared to be openly used for the modeling of industrially representative test-fixtures for battery materials, such as those defined in the H2020 NanoBat project.

Purpose This study aims to examine the relationships between organizational learning capabilities, open innovation and firm performance (FP) in the context of small and medium enterprises (SMEs) in the emerging economies. Design/methodology/approach Data collected from 384 manufacturing SMEs operating across the seven emirates of the UAE were statistically analyzed using SmartPLS 3 to examine the hypotheses of this study. Findings The results show that organizational learning capabilities positively influences both inbound and outbound dimensions of open innovation (OI). Inbound open innovation (IP) practice positively impacted both market effectiveness and profitability, while outbound open innovation (OP) practice only affected profitability. Findings further confirmed the mediating role of IP practice on the relationships of organizational learning capabilities with market effectiveness and profitability. In contrast, OP practice did not mediate the relationships of organizational learning capabilities with market effectiveness and profitability. Originality/value To the best of the authors knowledge, this is among the first study contributing to the extant innovation literature in terms of investigations into the significant and complex interrelations of organizational learning capabilities, OI and FP in a single study, demonstrating various theoretical implications in the context of manufacturing SMEs in emerging countries. Overall, the findings of this study confirmed that the owners/managers of the UAE’s manufacturing SMEs need to be acquainted with the need of creating a working environment fostering organizational learning processes and capabilities to enhance IP and OP activities, thereby improving their market effectiveness and profitability.

Artificial intelligence (AI) is a powerful technology with a range of capabilities, which are beginning to become apparent in all industries nowadays. The increased popularity of AI in the construction industry, however, is rather limited in comparison to other industry sectors. Moreover, despite AI being a hot topic in built environment research, there are limited review studies that investigate the reasons for the low-level AI adoption in the construction industry. This study aims to reduce this gap by identifying the adoption challenges of AI, along with the opportunities offered, for the construction industry. To achieve the aim, the study adopts a systematic literature review approach using the PRISMA protocol. In addition, the systematic review of the literature focuses on the planning, design, and construction stages of the construction project lifecycle. The results of the review reveal that (a) AI is particularly beneficial in the planning stage as the success of construction projects depends on accurate events, risks, and cost forecasting; (b) the major opportunity in adopting AI is to reduce the time spent on repetitive tasks by using big data analytics and improving the work processes; and (c) the biggest challenge to incorporate AI on a construction site is the fragmented nature of the industry, which has resulted in issues of data acquisition and retention. The findings of the study inform a range of parties that operate in the construction industry concerning the opportunities and challenges of AI adaptability and help increase the market acceptance of AI practices.

The paper investigates the aviation sector, as a case in point for a Smart environment and as an example for Industry 5.0 and Society 5.0 purposes. In the smart complex environments, a systemic vision of the elements, which act and are acted within a given territory, should be the basis of a hypothesis of joint growth. Indeed, the synergies activated by the system can be seen as the product of the application of a particular knowledge-based open innovation strategy, as an orientation capable of transforming theoretical assumptions into concrete operational innovation paths. Through the evidence emerged from an important case study and the application of an MCDA methodology, we have tried to identify which are the optimal solutions for the implementation of the new human-centric logics of I5.0, analyzing them on the basis of the actual benefits for the ecosystem, going beyond the self-referential aptitude of the firm to instill technological changes and managerial visions. Knowledge circulation, dialogue between sub-systems, and the ability to adapt technology and entrepreneurial strategies to the environment in which it operates (with the users as first stakeholders) seem to be necessary practices in knowledge-based innovation, prioritization, and decision-making processes, for smart, sustainable, and inclusive solutions.

PurposeEnterprise social media (ESM) applications offer new opportunities for organizations to mobilize employees for open innovation, by promoting innovation beyond traditional R&D functions. Despite the popularity and success of these applications, current research has yet to fully explore the potential of ESM applications as a driver of employee-driven innovation, specifically through advancements in innovation culture. To fill this gap, this study proposes a theoretical framework that explains the role of ESM applications in facilitating employee innovation.Design/methodology/approach The authors administered a cross-sectional survey to collect data from professionals who use ESM applications regularly at work. Following a pilot study and instrument refinement, the authors conducted a field study to test measurement and the structural model by using the partial least square-structural equation modeling (PLS-SEM) method.FindingsThe findings of this study support the validity of the proposed theoretical model. First, the results confirmed the three antecedents of ESM use for innovation: perceived innovation possibilities enabled by ESM technology, the expected value of ESM use for innovation and organizational support for using ESM applications for innovation. Next, the results confirmed the importance of ESM use in encouraging individual innovation productivity in terms of product/service innovation, process innovation and social innovation. Finally, the results corroborated the mediating role of risk-taking and knowledge-sharing culture in the use of ESM to increase innovation productivity.Originality/valueThe findings presented here have implications for theory and practices that would concern fostering a supportive environment and building an organizational culture that promotes employees' innovation behavior (internal open innovation) by using social technologies.

Firms increasingly face competitive pressures related to rapid and continuous adaptation to a complex, dynamic, and highly interconnected global environment. Pressing challenges include keeping pace with shorter product life cycles, incorporating multiple technologies into the design of new products, cocreating products and services with customers and partners, and leveraging the growth of scientific and technical knowledge in many sectors. In response, we observe experimentation with new organization designs that are fundamentally different from existing forms of organizing. We propose that these new designs are based on an actor-oriented architectural scheme composed of three main elements: (1) actors who have the capabilities and values to s elf-organize; (2) commons where the actors accumulate and share resources; and (3) protocols, processes, and infrastructures that enable multi-actor collaboration. We demonstrate the usefulness of the actor-oriented scheme by applying it to organizations drawn from four different sectors: global professional services, open source software development, computer equipment, and national defense. We discuss the implications of the actor-oriented architectural scheme for future research on organizational forms as well as for managers who are involved in designing organizations.

In today’s competitive market, the importance of open innovation with external involvement has been recognized. However, with the increasing number of manufacturers pursuing environmentally sustainable production, existing studies have failed to fully elaborate on the mechanism of how open innovation could foster its impact on green innovation performance. To address this research gap, this study investigates the role of open innovation as a driver of firms’ green product innovation performance and process innovation performance, as well as the moderating effect of green subsidies on these relationships. We empirically examine the research hypotheses employing survey data collected from 254 Vietnamese manufacturers analyzed by structural equation modeling (SEM). The data support all four hypotheses in our study ( β  = 0.251, β  = 0.177, β = − 0.499, β = − 0.557 for 4 hypotheses respectively). In addition, we found that the different sources of external knowledge (market sources, institutional sources, specialized sources, and other sources) firms acquired convey different effects on green product and process innovation performance. Based on the evidence, policymakers and firm practitioners can also incorporate the findings and insights of this study while devising their policies to foster green innovation performance.

Innovation environments are places where open innovation and technology are boosted. The purpose of this paper is to present the evolution of innovation and technology environments through the most covered topics in the scientific literature. In this sense, technology transfer has been the subject of research since 1975; however, in the period from 2006-2021, the focus shifted to innovation. It was possible to observe an exponential growth of the term, \"innovation\", but it is no longer the central theme and is linked to different terms related to different ways of innovating, characterizing open innovation variables. In this article, 4650 academic studies involving innovation environments were reviewed. The analysis identified the nomenclatures that characterized innovation environments and the particularities of these environments. The contributions, such as which countries developed more research in this area, and the analysis of which environments were more common in these countries were also presented. Additionally, some methodological and theoretical gaps in the current research were identified, providing pathways to support future research and practices seeking a better understanding and development of innovation environments. This article can also serve as a basis for a consultation for members of the quadruple helix, who wish to install or create environments for innovation and attract companies or investments to develop any open innovation activity.

Small and medium-sized enterprises (SMEs) are at the heart of a nation's wealth creation, employment generation and economic development. To help SMEs stay competitive in a fast-changing environment, researchers have recently emphasized the relevance of business model innovation (BMI). However, BMI and its performance are not linear but rather a complex phenomenon that depends on contingency factors. Based on configurational theory, this study extends the BMI research to SMEs, exploring the management approaches and BMI capabilities that foster BMI in established SMEs. To achieve this objective, this study of a purposive sample of 78 Spanish SMEs adopts the fuzzy set qualitative comparative analysis (fsQCA) method. Results suggest three substantive conclusions. First, long-term managerial orientation is a key factor for the development of BMI in SMEs. Second, five BMI capabilities (sensing customer needs, sensing technological options, conceptualizing and experimenting, collaborating and BMI strategy) support, in combination with the management approach, the development of BMI in established SMEs. Third, open innovation (open flows of knowledge regarding market needs and the potential of technologies, as well as collaboration with customers) are concrete preconditions of business model innovation. Therefore, managers in SMEs need both to actively consider their management approach towards BMI, and to develop some key dynamic capabilities in their organizations to implement BMI, an approach also valid for post-Covid-19 management.