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Artificial intelligence (AI) is currently one of the most disruptive technologies and can be applied in many different use cases. However, applying AI in regulated environments is challenging, as it is currently not clear how to achieve and assess the fairness, accountability and transparency (FAT) of AI. Documentation is one promising governance mechanism to ensure that AI is FAT when it is applied in practice. However, due to the nature of AI, documentation standards from software engineering are not suitable to collect the required evidence. Even though FAT AI is called for by lawmakers, academics and practitioners, suitable guidelines on how to document AI are not available. This interview study aims to investigate the requirements for AI documentations.

A total of 16 interviews were conducted with senior employees from companies in the banking and IT industry as well as with consultants. The interviews were then analyzed using an informed-inductive coding approach.

The authors found five requirements for AI documentation, taking the specific nature of AI into account. The interviews show that documenting AI is not a purely technical task, but also requires engineers to present information on how the AI is understandably integrated into the business process.

This paper benefits from the unique insights of senior employees into the documentation of AI.

This paper aims to report an interview study investigating knowledge protection practices in a collaborative research and innovation project centred around the semi-conductor industry. The authors explore which and how knowledge protection practices are applied and zoom in on a particular one to investigate the perspective of three stakeholders which collaborate: the SUPPLIER of a specialised machine, the APPLIER of this machine and a SCHOLAR who collaborates with both, in an effort to develop a grey-box model of the machine and its operation.

A total of 33 interviews have been conducted in two rounds: 30 interviews explore knowledge protection practices applied across a large project. Qualitative content analysis is applied to determine practices not well covered by the research community. A total of three follow-up interviews inspect one specific collaboration case of three partners. Quotes from all interviews are used to illustrate the participants’ viewpoints and motivation.

SCHOLAR and APPLIER communicate using a data-centric knowledge protection practice, in that concrete parameter values are sensitive and hidden by communicating data within a wider parameter range. This practice balances the benefit that all three stakeholders have from communicating about specifics of machine design and operations. The grey-box model combines engineering knowledge of both SUPPLIER and APPLIER.

The line of thought described in this study is applicable to comparable collaboration constellations of a SUPPLIER of a machine, an APPLIER of a machine and a SCHOLAR who analyses and draws insights out of data.

The paper fills a research gap by reporting on applied knowledge protection practices and characterising a data-centric knowledge protection practice around a grey-box model.

The purpose of this paper is to investigate pertinent knowledge protection literature. At the same time, however, knowledge protection is often a neglected or underdeveloped area. This is all the more concerning as knowledge protection plays an essential part in preserving an organization’s competitive advantage. Despite the recognition of this issue by scholars, the knowledge management literature has so far tended to concentrate on the facilitation of knowledge sharing rather than on knowledge protection.

In this paper, the authors present the results of a structured literature review undertaken to investigate the current state of research on knowledge protection. The paper identifies core domains in knowledge protection literature, discusses theoretical perspectives and research methods, sheds light on the role of the information technology (IT) artefact in knowledge protection research and develops a portfolio of knowledge protection measures.

In this paper, 48 papers were analyzed by taking five analytical dimensions into account: research domains, research methods and models, the role of the IT artefact, theoretical views and measures to enforce knowledge protection. Based on the discussion of the results, promising avenues for further research were identified and a research agenda was proposed. The authors argued for more research on the protection of tacit knowledge, more in-depth empirical investigations, more research on IT support and a stronger consideration of theories in knowledge protection research, as well as research on how organizations could build a strategy of knowledge protection.

Tacit knowledge, as well as informal alliances or (social) networks, is under-researched so far. Knowledge protection phenomena need to be investigated in depth to test the assumptions stated in many conceptual papers. IT artefacts should be developed and evaluated. More theory-based research and overarching frameworks or strategies for knowledge protection need to be developed.

In this paper, a portfolio of knowledge protection measures was developed, which might be of particular interest for practitioners. Further, the paper provides a good overview of the current state of practice regarding knowledge protection.

So far, there is no structured literature available focussing on the topic of knowledge protection.

The purpose of this paper is to shed light on the particular information needs of external auditors performing information technology (IT) audits at service providers in cross-organizational settings and to promote a software-based approach towards their satisfaction. The approach is intended to supplement the manual approaches currently adopted by auditors to procure information in such settings.

The authors analyzed data collected by means of a series of 16 interviews and four think-aloud sessions with experienced professionals.

Information procurement is perceived as tedious by auditors and largely relies on repeat interviews and perusal of documents. Given the growing complexity of cross-organizational settings, manual approaches to information procurement are reaching their limits. A considerable portion of the information required is often stored by service providers using software that is inaccessible to auditors. The authors argue that a software-based approach providing an interface for auditors to access relevant information held by such software presents an avenue worth exploring.

The authors outline how the information stored by service providers using software can be made accessible with reasonable effort. Complementing manual approaches to information procurement with an audit interface would reduce workload and increase quality.

The concept of an audit interface represents a novel and promising approach to meeting the information needs of auditors performing IT audits in cross-organizational settings more effectively. Both auditors and service providers would benefit from its implementation.

Firms need to constantly renew themselves to keep up with the pace of competition and proactively establish innovations to the markets. This requires capabilities in learning and renewing of the firm’s knowledge base, conceptualized as renewal capital of the firm. On the other hand, firms that acquire high levels of competitiveness by renewing their knowledge base also need to protect that knowledge from unwanted spillovers. This study aims to examine how renewal capital affects incremental and radical innovation performance of the firm, moderated by the firm’s protection of its strategic knowledge.

The study is based on a multi-industry survey study with a time-lagged data set, with independent variables collected in the first wave, followed by a second wave four years later for the dependent variables. The authors test the hypotheses using partial least squares structural equation modeling.

The authors find that firms’ renewal capital is positively associated with the level of incremental and radical innovation. Furthermore, the authors find that knowledge protection negatively moderates the relationship between renewal capital and incremental innovation performance of the firm. In case of radical innovation performance, similar moderating effect is not statistically supported.

With a time-lagged research design, this study study reveals the interdependent roles of renewal capital and knowledge protection for firm’s innovation performance, and provides insights of when (and when not) it would be beneficial for a firm to seek renewal and protective oriented approaches.

As emphasised by the theory of knowledge-based view, knowledge constitutes the basic element for a firm’s competitive advantage. Consequently, a firm’s knowledge at risk could have an adverse effect on its performance. In this regard, this paper aims to investigate potential knowledge risks present in an (ICT)-supported collaborative project and establishes inter- and multi-relationships among these risks.

In this paper, an integrated approach using the total interpretive structural modelling (TISM) technique and MICMAC analysis is implemented to determine the hierarchical inter-relationships among knowledge risks and classify them according to their driving and dependence power.

The result reveals seven knowledge risks. The analysis establishes cybercrime and espionage as high drivers of knowledge risks in an ICT-supported collaborative project. Further, a comprehensive model is developed showing the hierarchical structure and multi- and inter-relationships among the analysed risks.

From a practical viewpoint, the proposed model in this study will be of great importance to practitioners because it highlights the most prominent knowledge risks in an ICT-supported collaborative project. Additionally, it will provide a clue for effective knowledge risk management in a systematic approach.

To the best of the author’s knowledge, this is one of the first studies to use both the TISM technique and MICMAC analysis to identify and classify knowledge risks in an ICT-supported collaborative project.

Over the past decade, the cost of product development has increased drastically, and this is due to the inability of most enterprises to locate suitable and optimal collaborators for knowledge sharing. Nevertheless, knowledge sharing is a mechanism that helps people find the best collaborators with relevant knowledge. Hence, a new approach for locating optimal collaborators with relevant knowledge is needed, which could help enterprise in reducing cost and time in a knowledge-sharing environment. The paper aims to discuss these issues.

One unique challenge in the domain of knowledge sharing is that collaborators do not possess the same number of events resident in the knowledge available for sharing. In this paper, the authors present a new approach for locating optimal collaborators in knowledge-sharing environment using the combinatorial algorithm (CA-KSE).

The proposed pattern-matching approach implemented in Java is considered efficient for solving the issue peculiar to collaboration in knowledge-sharing domain. The authors benchmarked the proposed approach with its semi-global pairwise alignment and global alignment counterparts through scores comparison and the receiver operating characteristic curve. The results obtained from the comparisons showed that CA-KSE is a perfect test having an area under curve of 0.9659, compared to the other approaches.

The paper has proposed an efficient algorithm, which is considered better than related methods, for matching several collaborators (more than two) in KS environment. The method could be deployed in medical field for gene analysis, software organizations for distributed development and academics for knowledge sharing.

One sign of strength of this approach, compared to most sequence alignment approaches that can only match two collaborators at a time, is that it can match several collaborators at a faster rate.

The purpose of this paper is to conduct a systematic literature review for industry 4.0 maturity modeling research studies to obtain a clear view of the current state-of-the-art. Identifying characteristics of the studies; gaps, limitations and highlighted features has been aimed to guide future research studies.

The study includes a systematic literature review conducted on Scopus, IEEE Xplore and Web of Science databases and 90 publications have been reviewed. A novel qualitative taxonomy has been constructed which aims to reduce the cognitive load of the readers.

While industry 4.0 maturity modeling is an emerging concept and taking researchers’ attraction, review studies are still in infancy. Current review papers are inadequate in getting a clear idea about the concept, especially from the perspective of guiding future researchers. By the conducted approach of classification conducted in this paper, it has been seen that there are some challenges for improving the industry 4.0 maturity modeling.

Findings represented in this study can serve academicians and practitioners to develop and/or improve industry 4.0 maturity models.

The study includes a novel classification for the reviewed papers. Constructed taxonomy is among the first and tabular representations instead of prose analogy that aims to simplify the review of papers.

This paper aims to apply the augmented reality (AR) technology to assembly design in the early design stage. A proof‐of‐concept system with AR interface is developed.

Through AR interface, designers can design the assembly on the real assembly platform. The system helps users to design the assembly features to provide proper part‐part constraints in the early design stage. The virtual assembly features are rendered on the real assembly platform using AR registration techniques. The new evaluated assembly parts can be generated in the AR interface and assembled to assembly platform through assembly features. The model‐based collision detection technique is implemented for assembly constraint evaluation.

With AR interface, it would be possible to combine some of the benefits of both physical and virtual prototyping (VP). The AR environment can save a lot of computation resource compared to a totally virtual environment. Working on real assembly platform, designers have more realistic feel and the ability to design an assembly in a more intuitive way.

More interaction tools need to be developed to support the complex assembly design efficiently.

The presented system encourages designers to consider the assembly issues in the early design stage. The primitive 3D models of assembly parts with proper part‐part constraints are generated using the system before doing detailed geometry design.

A new markerless registration approach for AR system is presented. This generic approach can be also used for other AR applications.