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Narratives are useful to educate novices to learn from the past in a safe environment. For some high-risk industries, narratives for lessons learnt are costly and limited, as they are constructed from the occurrence of accidents. This paper aims to propose a new approach to facilitate narrative generation from existing narrative sources to support training and learning.

A computational narrative semi-fiction generation (CNSG) approach is proposed, and a case study was conducted in a statutory body in the construction industry in Hong Kong. Apart from measuring the learning outcomes gained by participants through the new narratives, domain experts were invited to evaluate the performance of the CNSG approach.

The performance of the CNSG approach is found to be effective in facilitating new narrative generation from existing narrative sources and to generate synthetic semi-fiction narratives to support and educate individuals to learn from past lessons. The new narratives generated by the CNSG approach help students learn and remember important things and learning points from the narratives. Domain experts agree that the validated narratives are useful for training and learning purposes.

This study presents a new narrative generation process for a high-risk industry, e.g. the construction industry. The CNSG approach incorporates the technologies of natural language processing and artificial intelligence to computationally identify narrative gaps in existing narrative sources and proposes narrative fragments to generate new semi-fiction narratives. Encouraging results were gained through the case study.

This study is a systematic literature review of crowdsourcing that aims to present the research evidence so far regarding the extent to which it can contribute to organisational performance and produce innovations and provide insights on how organisations can operationalise it successfully.

The systematic literature review revolved around a text mining methodology analysing 106 papers.

The themes identified are performance, innovation, operational aspects and motivations. The review revealed a few potential directions for future research in each of the themes considered.

This study helps researchers to consider the recent themes on crowdsourcing and identify potential areas for research. At the same time, it provides practitioners with an understanding of the usefulness and process of crowdsourcing and insights on what the critical elements are in order to organise a successful crowdsourcing project.

This study employed quantitative content analysis in order to identify the main research themes with higher reliability and validity. It is also the first review on crowdsourcing that incorporates the relevant literature on crowdfunding as a value-creation tool.

The purpose of this study is to develop a conceptual framework on knowledge loss in a manufacturing sector based on three aspects: likelihood of knowledge loss, critical areas of knowledge loss and relevance of each of these knowledge areas in terms of utilization and alignment with organizational goals and strategy. Such a conceptual framework can be helpful to the practicing managers in understanding the types of knowledge that is lost of a given departing employee and thus deciding on a measure to retain the critical employees or capture their knowledge before they leave.

Using a case study approach, data has been collected from a multinational battery manufacturing company based in Hong Kong. Semi-structured interviews have been conducted and analyzed through CAQDAS ATLAS.ti to generate the themes which were then used to develop the conceptual framework.

The findings revealed that the likelihood factors of knowledge loss in the manufacturing sector include layoffs, retirement, immigration and job change. The critical areas of knowledge loss comprise the knowledge of relationships and networks, especially with the customers and suppliers, the technical knowledge (battery and process technology) and knowledge of management, among others. The relevance of each of these knowledge areas needs to be determined through proper analysis whether these knowledge areas are needed in future projects, up to date and aligned with organizational goals and strategy along with other factors.

Using the developed conceptual framework, managers and executives can identify critical employees in the manufacturing sector and accordingly take some appropriate measures to retain their knowledge. Caution should be taken while applying the findings of this study in other industries and context.

This paper is an attempt to reduce the dearth of empirical studies by exploring knowledge retention in the manufacturing sector, especially in the development of proper conceptual frameworks to assess the potential knowledge loss of employees.

Competitive advantage can be gained in several ways including gaining a knowledge advantage (K‐Adv). This paper sets out to report on the first stage of broad study to assess the effectiveness of implementing an enterprise resource planning system (ERP) from a knowledge management (KM) perspective.

The study used a survey of a small but representative group to gain feedback in their experience of using the ERP system. Results are evaluated using a KM framework, the knowledge advantage (K‐Adv) capability maturity model (CMM) tool that was initially developed for use by construction organisations to assess the impact of leadership and its supporting ICT infrastructure on the ability of people (by effectively creating, sharing, disseminating and using knowledge) operating in a highly dynamic business environment.

The K‐Adv framework analysis for the study indicates that the ERP system was seen as a useful tool for cost management and that its deployment effectiveness is mainly dependent on human‐to‐human knowledge transfer about how to make the ERP system work. Also, how leaders in organisations facilitate and support people is a critical enabler of the ERP system deployment. The K‐Adv CMM tool was useful in making sense of the degree of organisational maturity from a KM perspective.

The findings first highlight the usefulness of focusing on people‐support in using the ERP adoption in this organisation's context and, second, they illustrate how a CMM tool like the K‐Adv can be used to evaluate KM practices.

The likely effectiveness of use of an ERP is well‐known. However, the originality of the paper is twofold. First, it explains effective ERP application drivers and inhibitors from a KM perspective. Second, it tests and adapts a tool that helps evaluate KM effectiveness and assists better understanding of how these practices are enacted from a cost management business unit perspective.

To provide a summary of the major trends in the evolution of knowledge management (KM) technologies in the last five years.

Drawing from a range of literature published in the academic and industry arenas including the articles accepted in the special issue, the author also applied his own personal experience and practice knowledge in the field to summarize the three major trends in the use of KM technologies for the workplace and individual knowledge workers.

First, KM is becoming more and more process‐centric and relevant technologies are gradually being aligned to support process‐based KM activities. Second, there is the emergence of personal networks and applications. Third, knowledge sharing and capturing are becoming more instantaneous (i.e. on‐demand and just‐in‐time).

KM is becoming more and more just‐in‐time. Large‐scale KM programmes still prevail but, in future, the technical infrastructure and information content of these programmes also need to support ad hoc, spontaneous but intensive intra‐ and inter‐organizational collaborations.

While most articles on KM technologies tend to focus on individual technique(s)/system(s), this paper provides a succinct and high‐level summary of the evolution of KM technologies from a commercial and practical perspective.

The authors believe that people with cognitive and motor impairments may benefit from using of telepresence robots to engage in social activities. To date, these systems have not been designed for use by people with disabilities as the robot operators. The paper aims to discuss these issues.

The authors conducted two formative evaluations using a participatory action design process. First, the authors conducted a focus group (n=5) to investigate how members of the target audience would want to direct a telepresence robot in a remote environment using speech. The authors then conducted a follow-on experiment in which participants (n=12) used a telepresence robot or directed a human in a scavenger hunt task.

The authors collected a corpus of 312 utterances (first hand as opposed to speculative) relating to spatial navigation. Overall, the analysis of the corpus supported several speculations put forth during the focus group. Further, it showed few statistically significant differences between speech used in the human and robot agent conditions; thus, the authors believe that, for the task of directing a telepresence robot's movements in a remote environment, people will speak to the robot in a manner similar to speaking to another person.

Based upon the two formative evaluations, the authors present four guidelines for designing speech-based interfaces for telepresence robots.

Robot systems designed for general use do not typically consider people with disabilities. The work is a first step towards having our target population take the active role of the telepresence robot operator.

The purpose of this paper is to look into the impact of important social motives on knowledge‐sharing behavior in a collaborative environment and how people might react to each of these motives.

The applied methodology used in this paper is based on an online survey and statistical hypothesis developed for each of the motives with different comparison means under two circumstances.

The paper exhibits the different impact of each of the motives over the sharing behaviour in collaborative platforms. Despite general beliefs, although many motives might not have a very significant impact under normal behavioral circumstances that is based on either an agreement or disagreement level, all of those tested motives show a positive tendency when tested on the neutral (Dilemma) position.

This study has examined a small and generalized group of people for social networking analysis with a limited number of motivational factors tested. Future research can extend the findings on a greater scale and/or examination of more diverse motives.

This study tries to change the presumptions about the collaboration‐sharing behaviours and motives and how social environment can behave differently under the same circumstances on a business‐oriented platform. The study also suggests how the findings can be applied to leverage social collaboration more efficiently to enhance knowledge sharing for business purposes.

To develop a process model of interorganizational systems (IOS) collaboration and systematic framework for understanding and classifying IOS technologies for interorganizational collaboration.

This paper synthesizes relevant concepts and findings in the IOS, economics, and management literature. It also presents empirical examples to illustrate key issues, practices, and solutions involved in IOS collaboration.

An integrative model of IOS collaboration is introduced and knowledge sharing, participative decision making, and conflict governance identified as three behavioral process elements underlying effective interorganizational collaboration. Extending Kumar and van Dissel's IOS framework to directly recognize these elements, a more complete collaboration‐oriented framework for characterizing key elements of interorganizational collaboration and classifying IOS technologies is developed.

This paper brings together diverse ideas into a systematic view of collaboration via interorganizational systems. It contributes to a deeper, fuller understanding of issues involved in achieving collaborative advantage with IOS technologies. The paper also identifies factors and relationships that researchers should consider in designing empirical studies, posing hypotheses about collaboration via IOS, and analyzing results.

The model and framework can serve as a check‐list of considerations that need to be dealt with by leaders of collaboration‐oriented IOS initiatives. The IOS framework and technology classification may also suggest ways in which IT vendors might provide better technological solutions, services, and software for interorganizational collaboration.

This new IOS collaboration model and framework provide more complete and useful guidance for researchers, educators, and practitioners.