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Knowledge management (KM) and organization strategy are both important to the success of an organization. This study aims to assess the research needs of their interrelationship.

The research is based on a collection of over 200 interviews of KM worldwide experts. Their inputs have been categorized based on the frequency of their occurrence.

This study looked at the research themes recommended by the experts and concluded that KM is to be regarded as a factor for the formulation and implementation of the organization strategy.

The sample of scholars and practitioners interviewed, the analysis approach used and the use of broad questions and dimensions are some of the limitations of this study. Nevertheless, a variety of effects KM has on the formulation and implementation of company strategy has emerged.

Organizations would improve their chances of success in a changing and competitive world by integrating the KM approach, methods and goals within the articulation of their strategy.

This study is original in variety because of the wide demographic sample supplied, and to its involvement both of KM academic experts as well as of practitioners. Its value is in the recommendations on the research of KM and organization strategy that would be of value, not only to organizations looking for ways to make their strategy more effective but also to those willing to implement KM in a better way.

The purpose of this paper is to explore and discuss possible solutions to integrate the concepts of smart city (SC) and intellectual capital management, especially referring to structural capital. On the basis of this, the authors propose a theoretical framework that highlights the relevance of structural capital for strategic and operational planning of smarter cities.

Using a neuropsychological analogy, the authors assume that the development of SCs corresponds to the development of a sensorial or even a nervous system for cities based on their structural capital, and the development of city intellectual capital (CIC) corresponds to a further phase of the cities’ mind development. The authors propose a practical framework that combines the concepts of city nervous system and city mind. It can be used as an instrument for project management. In this model, sensorial data – associated with the implementation of cities’ sensorial systems – should naturally contribute with open data to the development of higher abstract functions that in turn supports the creation of CIC.

This paper highlights the interrelations between intellectual capital (IC) (especially its structural component) and SC and their synergic capability of improving both an SC’s competitiveness and sustainability, and by this illustrates the benefits of combining both concepts in a common theoretical framework.

Given the paper’s theoretical nature, the empirical validation of the proposed framework is missing. This limitation will be addressed in forthcoming empirical research.

By proposing a framework that combines the concepts of SC and IC, the paper contributes to theory development regarding the strategic management of cities and the application of IC.

The competitive model has changed. In this context, society entered into an era in which intangible assets are the greatest assets of a company. However, some gaps and uncertainties are presented in the literature as to understand the value of a company based on knowledge intensive activities. The purpose of this paper is to analyze the methods of evaluation of intangible assets in the context of business, economic and strategic management.

This is a qualitative research. This research is characterized as descriptive, bibliographic, inductive.

The main results of this research can highlight the existence of valuation methods of intangible assets intended for specific industries, as public and/or private, that can be better aligned to the context of business; economic and/or strategic management.

It was found that intangible assets are a current topic and increasingly addressed in the literature.

Recent developments in additive manufacturing (AM) technology have emphasized the issue of social impacts. However, such effects are still to be determined. So, the purpose of this paper is to map the social impacts of AM technology.

The methodological approach applied in this study combines a literature review with computer-aided content analysis to search for keywords related to social impacts. The content analysis technique was used to identify and count the relevant keywords in academic documents associated with AM social impacts.

The study found that AM technology social impacts are still in an exploratory phase. Evidence was found that several social challenges of AM technology will have an influence on the society. The topics associated with fabrication, customization, sustainability, business models and work emerged as the most relevant terms that can act as “pointers” to social impacts.

The research on this subject is strongly conditioned by the scarcity of empirical experience and, consequently, by the scarcity of data and publications on the topic.

This study gives an up-to-date contribution to the topic of AM social impacts, which is still little explored in the literature. Moreover, the methodological approach used in this work combines bibliometrics with computer-aided content analysis, which also constitutes a contribution to support future literature reviews in any field. Overall, the results can be used to improve academic research in the topic and promote discussion among the different social actors.

The current scenario is dominated by an urgent need for economic recovery caused by the global health emergency that has been at work since January 2020. Digital transformation plays a crucial role in bringing about this recovery. However, the failure rate of digital transformation projects over the last 10 years is very high. Considering the growing demand for digital transformation from businesses, the digital transformation failure rate, if unchanged, could lead to an exponential growth in technical debt. Technical debt is acquired when the digital transformation to be deployed at a business fails. The accumulation of technical debt will lead not only to economic stalemate but possibly also to yet another setback.

The developed set of methodologies form what has been termed the Digital Transformation Governance Engineering Process (DTGEP). This process can help any business wishing to undertake a digital transformation project to materialize their project in a sustainable, productive and competitive way.

DTGEP prevents the generation of technical debt because organizational knowledge is aligned with the technological solution that best suits the needs of each business in order to support its strategic or business objectives.

DTGEP has already been used to successfully discover the relationship between business features and the prospective digital transformation. However, it needs to be applied in case studies on many other businesses across the economy in order to gather more accurate information that could be clustered by sectors.

DTGEP was tested on a set of 25 projects, and this paper reports several interesting findings regarding its use, like the impact of the digital transformation on different parts of the business model canvas (BMC) and the intellectual capital of the organization developing the digital transformation, and how the status of the organization's intangible assets affects the decision-making process with respect to the prospective digital transformation.

This paper aims to explore the requirements of organizational knowledge management initiatives using requirements engineering techniques, identifying the optimal techniques configuration and serving as a management tool for knowledge engineers.

The method is selection attributes. Knowledge management enablers are characterized and mapped with the coverage capabilities of requirements engineering techniques, using the attributes of the elicited object and a box-plot analysis. The information is gathered from 280 references, 32 companies and 16 experts in requirements engineering.

Requirements of organizational knowledge management initiatives are got optimally by combining interviews, use cases, scenarios, laddering and focus group techniques. The requirements of structure and processes are more complex to identify, while culture requirements are the best covered.

Knowledge management enablers are analyzed according to the current studies and comprehension of engineering techniques.

Knowledge engineers need to consider the coverage capabilities of engineering techniques to design an optimal requirement identification and meet the objectives of organizational knowledge acquisition initiatives. Requirement engineers can improve the requirements identification by a staged selection process.

The requirements of knowledge management initiatives that impact the community can be identified and traced to ensure the knowledge objectives. Requirements related to culture and people, like shared values, beliefs, and behaviors, are also considered.

To the best of the authors’ knowledge, this is the first study about formal requirement identification of knowledge management initiatives in the organizational context, providing the optimal configuration. A novel staged process is proposed for requirements engineering techniques selection, analyzing the enablers at component level and identifying the attributes associated with the elicited object.