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Practitioners have reported a minimal and non-use of building information modelling (BIM), especially in small and medium-sized organisations and BIM infant construction industries. This development calls for a reappraisal of organisations’ strength in capabilities required for BIM uptake towards the target of global construction digitalisation. This study aims to assess the BIM Level 2 uptake capability of organisations in a BIM infant construction industry and identify the underlying interactions between the capability criteria.

The study used a multivariable analysis of fifteen descriptors identified from the people, process, policy, finance and technology domain. Data collection was done in the BIM infant construction industry in Nigeria. Verification of the descriptors and an evaluation of BIM uptake capability in organisations was done. Seventy-three responses were received within the selected context, and data analysis was done with mean weighting and exploratory factor analysis. Maximum Likelihood extraction and Direct Oblimin rotation were used.

Factor analysis revealed three factors that explained 53.28% of the total variance in the BIM Level 2 uptake capability of construction organisations. The factors are workforce capacity and continuous development, an affinity for innovation and strength in physical and operational facilities.

This study provides an overarching and insightful discussion on BIM uptake capability and construction digitalisation with evidence from a BIM-infant construction industry.

The findings of this study are a piece of valuable empirical evidence on Level 2 BIM uptake capability. This empirical situation analysis will inform the advocacy for the advancement of BIM and enhanced utilisation of building information. Evidence on the capability performance of the BIM infant industry has been revealed.

The outcome is expected to stir debate on the preparedness of organisations to further exploit the benefits of BIM in the BIM infant construction industry. Examination of the capability for a particular phase of BIM is scanty in the literature.

This study aims to examine the role of technological capabilities in the competitive advantage of supply chains for the “countryside” hub of São Paulo state.

An interdisciplinary approach was adopted by combining the strategic orientation of supply chain management as a link between market and operational activities, with technological capabilities as an essential factor for competitive advantage. This exploratory, mixed-method study was conducted in the Campinas technology hub, which has become important for its available skilled workforce, and broad and structured supply chain. The study sample included ten companies and dealt with the techniques of content analysis and non-parametric statistics – the Mann–Whitney U technique.

The results revealed that strategic supply chain management has an impact on technological capabilities and competitive advantage.

They also showed that technological capabilities have a partial mediating effect on competitive advantage.

The purpose of this paper is to discuss the topic of agency problems in service ecosystem for innovation. It specifically explores the corporate policies aimed at encouraging collaboration, so as to prevent opportunistic behaviors within the innovation hub, where service exchange is central for innovation creation.

The authors apply the agency theory framework to the hub as a service ecosystem in order to understand how it would be possible to address agency problems between the firm (principal) and the other actors of the hub (agents), involved in peer-to-peer interactions. The research explores the case study of a high-tech leading company, which is a pioneer in the use of the hub for supporting its innovation process. Data are collected through semi-structured interviews to some key informants of the Hub Program regarding structure and organization; participation; incentives and monitoring.

In service ecosystems, corporate policies are based on commitment, psycho-social incentives and social control may encourage collaboration among the actors, thus contributing to align their own interests to the hub’s innovation common goals.

Given the exploratory nature of the research, the paper is based on a single case study. Thus, it is not possible to either generalize the results or evaluate any statistical correlation.

The paper provides a wider awareness about the benefits and risks related to service ecosystems for innovation, and advise both managers and practitioners about appropriate corporate policies to better address the agency problems.

This study enhances the literature on service ecosystems, highlighting the importance of corporate policies in preventing opportunistic behavior of actors in order to ensure the value co-creation process. It also extends the agency theory application to informal and not-hierarchical contexts. Besides, it suggests practitioners a way to reconcile the different interests of the firm and the other hub’s participants.

This research aims to shed new lights on the most shared constructs developed on Innovation Ecosystems, Entrepreneurial Ecosystems and Technology Transfer Ecosystem proposing an additional stand-alone ecosystem.

This research is built upon a qual-quantitative analysis of an empirical case. The latter analysis is performed through a single case study methodology on the San Giovanni Hub of the Federico II University of Naples.

Evidences show how a technological hub orchestrates three main ecosystems for the knowledge exploitation: the technology transfer ecosystem, devoted to gather knowledge form universities' labs towards industries; the innovation ecosystem, able to manage the exploration and exploitation of new knowledge and techniques; the entrepreneurial ecosystem, that supports startup/spinoff creation process.

Limitations mainly concern the fact that it is centred on just one case study.

Practical implications imply new opportunities of collaboration involving different stakeholders as university administrators, researchers, businesses and policymakers, creating a supportive environment for innovation.

The research offers a new vision about the role of Universities as creators and enablers of ecosystems pursuing diverse value propositions. The Academic Innovation Ecosystem is a new conceptualization of this role played by a university, and it can convey innovation and entrepreneurial attitude within its ecosystem leveraging on the transfer of university knowledge and technology.

The purpose of this paper is to investigate how technological hubs (THs), defined as knowledge intermediaries, can assist companies in creating successful partnerships to develop innovations. Specifically, the authors ask how THs can help firms connect with horizontal networks and how THs can assist firms on finding suppliers and customers from the vertical network with whom to collaborate. By answering these two main questions, the paper sheds light on the important role of THs and its incubators as knowledge intermediaries in innovation co-creation.

The research is founded on a longitudinal case study of an Italian technologic hub, ComoNExT, that aims to improve the competitiveness of its local economy. Specific attention is given to the role of the incubator that was formed as a joint effort in the technology hub.

The authors find that THs can facilitate networking among tenants and among tenants and external actors within the same epistemic network. The TH that the authors studied is characterized by a new business model that is founded on providing value-added services and networking. The TH sustains the networking at different levels: within tenants, with local actors, extra-local and international actors. The authors’ analysis suggest that THs become knowledge intermediaries who allow firms to identify innovation parties and transform them into innovation partners and, thus, outline the shift from outsourced innovation to co-managed innovation.

The paper shows how knowledge intermediaries facilitate the intermediation between heterogeneous organizations who are located at different network positions and characterized by relational proximity that is the basis for reaching effective innovation. The research depicts how knowledge intermediaries reinforce the drivers of a co-membership network to co-create innovation to improve the strength of a relationship characterized by a shared vision.

As competition abounds, the efficient organization of a company's supply chain is a vital success factor for companies in today's business world. In recent years, electronic hubs have received great attention, providing buyers and suppliers alike with a means of structuring and streamlining their supply chains in order to create maximum efficiency. Concerning the future of the e‐hub environment, online marketplaces are expected to move rapidly toward becoming full service providers, letting e‐commerce swallow the entire supply chain. Moreover, distinctions between public and private hubs will likely blur, while only the strongest electronic hubs with the most profitable operations strategies will be able to succeed in the long run. Conducts analysis to the e‐hubs supply chain, followed by a comparative analysis of the current situation supported by examples of successful e‐hubs. As a consequence, provides a benchmarking basis for organizations wishing to incorporate the know‐how and experience of these successful hubs into their own business. Finally, a forecast to future trends in the e‐hub market space is conducted along with recommendations.

Congestion as a consequence of the rapidly growing air traffic is one of the outstanding problems of the air transportation industry. Traffic impediment rates, having an increasing acceleration while the airport capacities have been kept constant due to several reasons, cause problems such as arrival/departure delays, schedule interruptions, cancellations and customer dissatisfaction. In this paper, the author aims to study transitioning from a single-hub air transportation system to a multi-hub infrastructure via Monte Carlo simulation.

The current hub has reached its capacity limits for long so that the growth potential of the air transportation has been affected adversely. One of the possible remedies suggested by authorities, professionals and academics was to transform the air transportation infrastructure into a multi-hub setting. Current air traffic of the country was modeled by means of simulation. Airport capacities and performances are simulated and analyzed under different scenarios considering a potential alternative hub along with the central one. Possible delays in both hubs are studied in case of moderately increasing traffic congestion.

As a result, decreased delay levels in the central hub are observed, whereas no delays are experienced in the potential one in all the scenarios.

This study, proposing to organize the national and international air traffic of the country while harmonizing the delay rates and increasing the passenger satisfaction, is to contribute significantly to the aviation sector companies, airliners and airport operators by shedding light on the imminent capacity issues air transportation industry is going to face.

The blockchain-based digital twin has been recognized as a prominent technological ecosystem featuring synergies with both established and emergent information management practice. The purpose of this research is to explore the applicability, interoperability and integrability of a blockchain-based digital twin for asset life cycle management and develop a model of framework which positions the digital twin within a broader context of current management practice and technological availability.

A systematic literature review was performed to map use cases of digital twin, IoT, blockchain and smart contract technologies. Surveys of industry professionals and analyses were conducted focussing on the mapped use cases' life cycle–centric applicability, interoperability and integrability with current asset life cycle management practice, exploring decision support capabilities and industry insights. Lastly, a model of framework was developed based on the use case, interoperability and integrability findings.

The results support approaching digitization initiatives with blockchain-based digital twins and the positioning of the concept as both a strategic tool and a multifunctional on-field support application. Integrability enablers include progression towards BIM level 3, decentralized program hubs, modular cross-technological platform interfaces, as well as mergeable and scalable blockchains.

Knowledge of use cases help highlight the functionality of an integrated technological ecosystem and its connection to comprehensive sets of asset life cycle management aspects. Exploring integrability enablers contribute to the development of management practice and solution development as user expectations and technological prerequisites are interlinked.

The research explores asset life cycle management use cases, interoperability and integrability enablers of blockchain-based digital twins and positions the technological ecosystem within current practice and technological availability.

The purpose of this paper is to examine the startup models adopted by entrepreneurs in launching platform enterprises, and the effectiveness of business incubators across Sub-Saharan Africa (SSA).

Data reflecting origin, models, services, ownership and other variables were collected on over 600 platforms and 196 incubators, and were analyzed using descriptive and inferential statistics.

Market portfolio of the platform startups is dominated by independent models, as incubators and accelerators were found to be inadequate in platform establishment within the region in terms of the services rendered to incubatees. The results also indicate that private ownership still dominates the startup ecosystem with a scant presence of public participation and almost a complete absence of public-private partnerships.

This exploratory study is constrained by a limited access to information on the platform ecosystem within the SSA region, curbing the scope of empirical work; but serves as a foundation for further investigations within the domain.

The paper highlights the imperative for African Governments to make conscious efforts in driving enabling policies that will help bridge the gaps identified in facilitating the development of the region’s emergent platform economy.

The paper empirically elucidates the limited availability of critical resources necessary in supporting the successful development and growth of platform startups; and helps explain why the platform ecosystem within the region, though very active in the last decade, has not been laden with landmark and scaled innovations.

The purpose of this paper is to propose a new statistical approach to evaluate complex open innovation projects on a quantitative basis. In certain circumstances, open innovation entails a radical change of policy that involves various different functions of a company such as R&D, production, and management over a period of years and gives rise to mechanisms of mutual interaction with several business partners, such as collaboration with other companies, universities and R&D institutions, and new suppliers. Then, the question arises of how to measure the impact of such complex open innovation processes on the overall performances of companies.

A holistic case study is applied to analyze the effect of open innovation projects on a corporate company’s stock price dynamics. The scope is to identify two different scenarios pre- and post-adoption of an open innovation model by a multinational company, Fujifilm. In particular, a stochastic model, namely the log-normal model, is applied along with three statistical tests: Kolmogorov-Smirnov, Cramer von Mises, and F-test for equal variances, in order to verify if the adoption of an open innovation model causes any significant change in the stock price dynamics of the corporate company.

From the findings emerges evidence that open innovation projects have a moderate effect on Fujifilm’s stock price dynamics, but a greater improvement of the perception of Fujifilm’s stock value. This enhances the management and financial literature review by offering a novel, empirical perspective on the effect of the adoption of an open innovation model on a corporate company’s stock price dynamics.

This research is limited to a single case study, but it can be extended to other stock market companies and therefore improve on the present study.

An original application of Kolmogorov-Smirnov tests to detect and measure the differences between the two regimes of pre-open innovation and post-innovation regimes.