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Knowledge is a critical asset that places contractor organisations at a competitive advantage when they take part in competitive tendering. However, a dearth of literature exists on the mechanisms that contractor organisations can adopt to utilise knowledge to gain competitive advantage and win tenders through competitive tendering.

The study adopted an interpretive stance with a qualitative approach that comprised a literature review, 15 expert interviews and three case studies. The literature review and expert interview findings were used to develop an intermediate framework of knowledge value chain (KVC), while the case study findings were used to develop the final KVC framework with the intermediate framework as the basis.

The study developed, in three distinctive steps, a KVC framework based on Powell's (2001) KVC for use by the tendering divisions/units of contractor organisations employing quantity surveyors (QSs) to handle tendering work and to increase their chances of winning tenders.

The study developed a KVC framework for the use of contractor organisations to maximise their chances of winning tenders in the field of quantity surveying.

Introduces the knowledge value chain model as a knowledge management (KM) framework. The model consists of knowledge infrastructure (knowledge worker recruitment, knowledge storage capacity, customer/supplier relationship and CKO and management), the process of KM (knowledge acquisition, knowledge innovation, knowledge protection, knowledge integration, and knowledge dissemination), and the interaction among those components resulting in knowledge performance. Further to the discussion of knowledge value chain (KVC), the following viewpoint was proposed: KM guides the way a corporation performs individual knowledge activities and organizes its entire KVC. It was suggested that competitive advantage grows out of the way corporations organize and perform discrete activities in knowledge value chain which should be measured by the core competence of corporation. This article also provides a cross‐reference for e‐commerce researchers and practitioners.

Universities play a key role in the production and transfer of knowledge. The purpose of this research is to describe practices of knowledge management at UNAM in response to COVID-19. A qualitative methodology is used. Through documentary research, information was collected to present four descriptive case studies to identify elements that characterise a knowledge-intensive organisation through the value chain model. This chapter begins with a review of the literature on the creation and transfer of knowledge from universities to society in the context of COVID-19. The knowledge value chain concept is integrated in order to model elements related to both infrastructure and processes that have allowed for continuity in the development of knowledge production and transfer activities. These results contribute to the modelling of management practices to create value in organisations.

The purpose of this paper is to introduce a new knowledge quality assessment framework based on interdependencies between content and schema as knowledge resources to enhance the quality of the knowledge that is being generated, disseminated and stored in a collaborative environment.

A knowledge elaboration approach is based on intervening factors of schematic clustering applied to a trial wiki bulletin board. Through this schematic intervention in the form of group creation within a wiki environment, a user-centric mechanism is created to substantiate, compose and narrate the generated contents in a self-organizing way.

Through this approach, quality in content can be enhanced by means of a favourably manipulated collaboration schema adopted by the knowledge management system (KMS) users instead of applying knowledge mining tools.

With consideration to trust as a significant factor in this study, the verification and referral process may vary for KMS structures that are of larger scale or in low-trust collaborative environments.

This study demonstrates transition to higher quality knowledge with less time spent on the original content refinement and composition by paying due consideration to the interdependencies between knowledge resource content and its schema. Validation is done via a clustered group structure in a specially designed wiki which had been used as a discussion bulletin board on directed topics over an extended period.

Innovation within companies is becoming mandatory and vital. A policy of voluntarism aiming at supporting innovation can be based on an operational process managing the evolution of the firm's intellectual corpus, becoming a tool for innovation. This paper seeks to explain and demonstrate the link between knowledge management and innovation.

The fundamental assumption is to regard knowledge creation as an intellectual corpus evolution process, based on knowledge workers' creativity. Their creativity is stimulated by the critical analysis of the intellectual corpus, which leads to the creation of new technologic trajectories in continuity or divergence from existing trajectories. Based on a systemic model of intellectual capital, the analysis of the dynamic of knowledge has shown that the increase of value of intellectual capital may be described as an evolutionist process.

An experiment was conducted to validate the assumptions based on the analysis of the intellectual capital of a company, on the process of generating new items for the intellectual capital, on the regulation of this process by a community of knowledge workers and based on the integration of the results into the value chain of the organization.

Based on interviews with experts about their inventive tracks during recent decades, the main limitations/difficulties come from making the inventory of the intellectual corpus of an organization.

Social implications include an emphasis on the projection of experts' inventive tracks onto the knowledge map of the organization.

This paper links intellectual corpus and creativity: creation leads to intellectual property rights.

This paper aims to present a set of strategic options for Research and Innovation (R&I) stakeholders in the light of new and emerging ways of organising and performing research.

The paper first reviews the evolution of the R&I landscape and identifies the most influential stakeholders engaged in R&I. In the light of the scenarios developed for the year 2030, a set of strategic options are identified and assessed for each stakeholder group.

R&I systems are now more complex than 50 years ago and will be even more in the future. Radical changes are expected in terms of the ways research is funded, organised and carried out. Some of these transformations are captured by the scenarios developed. The analysis of scenarios indicated that their feasibility and desirability differ across different sectors of industry, and research areas within the research landscape.

Scenarios and strategies presented in the paper bring new considerations on the way research activities are practiced. Further research is considered to be useful on the new modes of research and implications for academia, industry, society and policy makers.

The discussion around the responses of different stakeholders vis-à-vis specific scenarios about the future in R&I practices and organisation gives a practical view about how to deal with associated emerging trends and issues.

Society is a crucial stakeholder of all R&I activities. The transformative scenarios suggest that society will not only be playing a reactive role on the demand side but also more proactive role on the supply side in the decades to come.

The paper is based on work undertaken within the Research and Innovation (RIF) 2030 project. As R&I activities will be important for the development and competitiveness of the EU and its member states, the work presented here is considered to be of value by highlighting how to create more resilient strategies in a fast-changing R&I landscape.

How to derive policy implications from five future scenarios of transformed research and innovation (R&I) systems? This paper analyzes methodological and content issues of five future scenarios of transformed R&I systems. The aim of this paper is to provide an outlook on strategic policies capable of facilitating or moderating these transformative changes in R&I practices is discussed in light of overarching intentions to foster “responsible” ambitions (in Europe and beyond, discussed as responsible research and innovation, RRI).

The paper elaborates a four-step methodology to assess the scenario’s policy implications: first, by articulating the scenario implications for six core dimensions of R&I systems; second, an RRI assessment framework is developed to assess in each scenario opportunities and limitations for transforming R&I systems towards responsibility goals; the third involves a cross-scenario analysis of similarities and differences between the scenarios, allowing the identification of robust policy options that make sense in more than one scenario. The last analytical step includes again the richness of the individual scenario assessments aiming to provide a broader outlook on transformative policy orientations.

The paper concludes with outlining the contours of a future-responsible R&I system together with some suggestions for transformative policy orientations that aim to govern the R&I system towards such a future, as a source of inspiration and reflection.

The analysis is based on five future scenarios that do not systematically cover future developments external to the R&I system.

An outlook of strategic policies capable of facilitating or moderating these transformative changes in R&I practices is discussed in light of the overarching European Union goal of encouraging the performance of RRI.

This paper provides inspirational anticipatory strategic intelligence for fostering the responsible ambitions of research with and for society.

Having a short throughput time for innovation projects, i.e. lead-time, can put firms in an advantageous position. The time that lapses between a project’s start and its completion, is influenced not only by the firm's internal capabilities but also by how the firm connects to external knowledge. This paper assesses the relation between knowledge sourcing and lead-time advantage.

This paper empirically tests the relation between external knowledge sourcing and lead-time advantage based on firm level Community Innovation Survey (CIS) data.

I find that breadth and depth of the external knowledge sourcing are positively relating to lead-time advantage, albeit with diminishing returns. Investment into absorptive capacity, i.e. internal R&D, mitigates the diminishing of returns. Firms directing their external knowledge sourcing strategy toward consumers, suppliers and science are better able to capitalize on their innovations through lead-time advantages and firms also benefit from the special case of collaboration for product development.

The conceptual novelty of this research largely consists in empirically bringing together for the first time conceptualizations of external knowledge sourcing and the strategic use of lead-time. Given the prevalence of both concepts in the modern and fast changing economy, investigating this link is of great importance.