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The purpose of this paper is to propose Knowledge4Scrum, a novel knowledge management tool for agile distributed teams. Agile software development (ASD) refers to a group of software development methodologies based on iterative development, where requirements and solutions evolve through collaboration between self-organizing cross-functional teams. The two most widely used methodologies based on the agile philosophy are scrum and extreme programming. Whichever methodology is considered, agile teams usually consist of few members and are collocated under the same roof. However, nowadays, agile practices for distributed development are gaining much momentum. The main reasons behind such practice are cheaper skilled labour, minimizing production cost, reducing time to market and increasing the quality and performance of projects. Along with the benefits obtained through globally distributed development, there are, however, many difficulties faced by various organisations. These problems are caused mostly due to distance, time and cultural differences. To meet up with the level of complexity of projects, ASD also has to keep up with many challenges, especially in cases of distributed teams. Four major challenges have been identified. First, the introduction of global software development entails a number of difficulties, especially related to knowledge sharing. For instance, lack of transparency is frequently observed within such teams, whereby a team member is totally unaware of the activities of his/her colleagues. Second, the unavailability of team members due to time zone differences adds up to the list of problems confronted by distributed teams. Third, there can be misunderstanding amongst the team member due to communication problems, especially in cases where the mother language of the team members is different. Fourth, a common issue faced by distributed teams is the loss of knowledge when an employee resigns from his/her post.

Based on the main problems outlined above, what has been proposed is Knowledge4Scrum, a novel knowledge management tool for agile distributed teams. Knowledge4Scrum will act as a global repository for knowledge sharing in Scrum distributed teams with the possibility of creating new knowledge through data mining techniques. Valid past projects data have been collected to train and test the data mining models. The research also investigates the suitability of knowledge management in Scrum distributed teams to address the various challenges addressed above.

Knowledge4Scrum supports the four knowledge management processes, namely, knowledge creation/acquisition, knowledge storage, knowledge dissemination and knowledge application. It has been found that the aforementioned tool satisfactorily addressed issues of distance, time and cultural differences that crop-up in distributed development teams. Data mining has been the main aspect for the knowledge creation and application processes, whereby new knowledge has been determined by examining and extracting patterns from existing data found in the repository.

A major feature of the Knowledge4Scrum tool lies in the knowledge creation and application section, where a number of data mining techniques have been utilised to identify trends and patterns in past data collected. When compared to the COnstructive COst MOdel to estimate project duration, Knowledge4Scrum gives more than satisfactory results. Such functionalities will actually help managers for future project planning and in decision-making.

Pervasive environments are mostly based on the ad hoc networking paradigm and are characterized by ubiquity in both users and devices and artifacts. In these inherently unstable conditions and bearing in mind the resource’s limitations that are attributed to participating devices, the deployment of Knowledge Management techniques is considered complicated due to the particular requirements. Security considerations are also very important since the distribution of knowledge information to multiple locations over a network, poses inherent problems and calls for advanced methods in order to mitigate node misbehaviour and in order to enforce authorized and authenticated access to this information. This paper addresses the issue of secure and distributed knowledge management applications in pervasive environments. We present a prototype implementation after having discussed detailed design principles as far as the communications and the application itself is regarded. Robustness and lightweight implementation are the cornerstones of the proposed solution. The approach we have undertaken makes use of overlay networks to achieve efficiency and performance optimization, exploiting ontologies. The work presented in this paper extends our initial work to tackle this problem, as this was described in (28).

The purpose of this paper is to propose an approach for describing and discovering knowledge resources in distributed environments.

The paper proposes a solution that includes a framework model and a technological infrastructure to achieve distributed knowledge discovery. It provides the solution based on a combination of research from knowledge management and distributed processing areas.

The paper finds a faceted ontology and three discrete models that best achieve distributed processing in terms of knowledge items and knowledge objects. By these mechanisms are provided to: represent knowledge in a generic manner that will unchain knowledge from tight links to specific contexts, purposes and audiences; discover and retrieve knowledge stored in distributed sources; interpret different knowledge representations to enable comprehension of knowledge on the recipient side and tackle the heterogeneity problem; and simplify and accelerate knowledge exchange in distributed environments.

The utilization of knowledge in distributed environments (intra‐ or inter‐organizational) presupposes the existence of a representation of knowledge in a commonly understandable manner. Knowledge resources are distributed in the web and databases in an unstructured manner.

The paper can be used as the basic consensus and infrastructure for the development of a coherent, manageable semantic web. The three models should be addressed in terms of commercial applications.

Knowledge management and distributed processing research fields are combined in order to provide a solution that best addresses the problem of distributed knowledge.

The purpose of this paper is to verify how distributed cognition enhances collaborative problem-solving in the context of projects.

Using qualitative research and in-depth interviews, a sample of 32 project managers with experience in traditional and agile methods acting in Brazil and internationally participated in the research process. The analysis process, utilising coding techniques, involved stages: open, axial, coding and selective coding. These stages encompassed the evaluation of categories based on a hierarchy, in order to determine an appropriate level of abstraction that properly explains theoretical findings.

The results indicate that distributed team cognition is significant for collaborative problem-solving. The data from the interviews allowed the proposal of a model of cognition, and the identification of the elements that support it.

Understand how aspects of distributed team cognition can impact the behaviours of the project professional and contribute to problem-solving in the project environment.

The elements observed affects the collaborative problem-solving by presenting a model of distributed cognition, which is composed by directed communication, collective interaction, trust building and collaborative behaviour.

This article explores how the social media usage affect team creative performance via transactive memory system, knowledge interaction and expertise coordination.

The study is based on the perspective of transaction memory system and expertise coordination theory. A research model was constructed and tested, involving 289 individuals from 67 distributed agile software development teams.

The results indicate that social media usage is positively correlated with transactive memory system, and social media usage and transactive memory system have positive relations to knowledge interaction and expertise coordination. Moreover, this analysis shows that knowledge interaction has a positive relationship with expertise coordination, and expertise coordination positively affects team creative performance. However, knowledge interaction has no direct relationship on team creative performance, and its indirect impact on team creative performance was fully mediated by expertise coordination. This research shows that social media usage by distributed agile software development teams can support the development of transactive memory system and promote expertise coordination. In addition, knowledge interaction alone is not enough, and expertise coordination must be achieved to increase team creative performance.

First, this paper explores the mechanism of transactive memory system in distributed Agile Software Development teams from the perspective of social media, which is different from the previous information processing theory framework that confined transactive memory system to the cognitive aspects of knowledge coding, storage and retrieval. Second, this research focuses on the knowledge interaction and expertise coordination formed by team members in the process of communication in the context of social media usage, which confirms the crucial roles of social media usage and transactive memory system in team knowledge management and team creative performance. Then, this research also shows that the development of transactive memory system in the team is indeed an important factor to promote knowledge interaction and professional expertise coordination.

Studies of distributed leadership (DL) are increasing, but are not systematic, often taking a normative position emphasizing the superiority of DL to solo leadership and using the term in an imprecise way. The purpose of this paper is to re-conceptualize DL and develop a systematic framework to identify dimensions of DL and their association with team effectiveness.

Based on a comprehensive review of existing literature, this paper develops a systematic framework of DL and team effectiveness by deriving eight research propositions.

Based on two perspectives, role space occupation and dependency of actions, the paper identifies four main dimensions of DL: shared, conjoint, fragmented and dispersed leadership, each of which represents a specific pattern of DL activities. A leader-task-context (LTC) framework is developed to analyze outcomes of DL dimensions in different settings. The eight propositions developed clearly identify where DL can be best applied, how particular configurations of DL affect team performance, and in what situations it is most effective.

This paper has made several contributions. First, the authors address the question of what constitutes DL by conceptualizing its dimensions. Second, the authors extend the DL literature by arguing and modeling how different contexts influence the fulfillment of DL. Third, the authors develop an analytical framework of DL – the “LTC” framework – to help build a foundation and guide further research on the relationships between DL and team performance.

The purpose of this paper is to explore how to reconcile the contradiction between two paradigms employed in analyzing IT‐related change requirements: knowledge‐as‐thing versus knowledge‐as‐process.

These tensions are explored in the high‐risk decision‐making environment of an Immigration and Naturalization Service agency. The study combines competitive intelligence risk‐analysis methods with an ethnographic analysis of knowledge‐flows, to determine how the roles of human decision‐makers may be supported effectively by ICT‐based knowledge support.

The findings demonstrate how high‐risk decision‐making may be analyzed as a integrated hybrid human/ICT intelligence system. The study exposes detailed mechanisms by which knowledge of different forms is transferred, exposing failures in training, interpersonal communications, ICT system support, and reward structures. Four roles for ICT support are identified, to supplement human intelligence effectively.

This research is based on an investigation across knowledgeable experts in various geographical locations, functional contexts, and organizational roles in a single government agency. Future research could seek to explore whether our distinctions between knowledge types and ICT‐roles are transferable across different organizations.

Four stages of analysis for a hybrid intelligence framework are suggested: risk‐category identification; the application of risk‐categories to decision‐cases; testing and adapting categorizations against global conditions; and transfer of locally‐meaningful categorizations of risk across communities of practice.

The contributions of this paper are: to provide a taxonomy for the analysis of organizational knowledge‐flows; and to suggest a framework for the analysis of roles for human vs. ICT knowledge management in distributed, high‐risk decision‐making environments.

Browsing knowledge documents in a peer-to-peer (P2P) environment is difficult because knowledge documents in such an environment are large in quantity and distributed over different peers who organize the documents according to their own views. This paper aims to propose a method for constructing a personal knowledge map for a peer to facilitate knowledge browsing and alleviate information overload in P2P environments.

The research presents a method for constructing a personal knowledge map. The method adopts an ontology-concept-tree-based classification algorithm to recognize a peer’s personal knowledge structure and construct a personal knowledge map, and uses a self-organizing map algorithm to cluster and visualize the knowledge documents. The correctness of the created knowledge map is evaluated with a collection of abstracts of academic papers.

The method for constructing a personal knowledge map is the main finding of this research. The evaluation shows that the created knowledge map is good in quality.

The proposed method provides a way for P2P platforms to understand their users’ knowledge background, as well as to improve the P2P platform environment. However, the proposed method will not help a peer when he has nothing in his individual knowledge document repository (i.e. the “cold start” problem). The method also requires a relatively good ontology base for a P2P document sharing system to use the method effectively.

It is novel that the proposed method organizes the knowledge documents related to a peer’s knowledge background into a personal knowledge map. Moreover, the created knowledge map combines the advantages of a hierarchical display and a map display. It has values for a distributed P2P environment to facilitate users’ knowledge browsing and to alleviate information overload.

As a kind of knowledge-intensive team coordinated across physical distance, it is necessary to construct a meta-knowledge driven transactive memory system (TMS) for the knowledge management of distributed agile team (DAT). This study aims to explore the comprehensive antecedents of TMS establishment in DATs and considers how TMS establishment is affected by herding behavior under the artificial intelligence (AI)-related knowledge work environment that emerges with technology penetration.

The data derived from 177 students of 52 DATs in a well-known Chinese business school, which were divided into 26 traditional knowledge work groups and 26 AI-related task groups to conduct a random comparative experiment. The ordinary least squares method was used to analyze the conceptual model and ANOVA was used to examine the differences in herding behavior between the control groups (traditional knowledge work DATs) and treatment groups (DATs engaged in AI-related knowledge work).

The results showed that knowledge diversity, professional knowledge, self-efficacy and social system use had significantly positive effects on the establishment of TMS. Interestingly, the authors also find that herding behavior may promote the process of establishing TMS of the new team, and this effect will be more significant when AI tasks are involved in team knowledge work.

By exploring the comprehensive antecedents of the establishment of TMS, this study provided a theoretical basis for knowledge management of DATs, especially in AI knowledge work teams. From a practical perspective, when the DAT is involved in AI-related knowledge works, managers should appropriately guide the convergence of employees’ behaviors and use the herding effects to accelerate the establishment of TMS, which will improve team knowledge sharing and innovation.

The purpose of this paper is to provide a new institutional perspective of knowledge Management technology adoption through an empirical study of a knowledge intensive firm.

The research involved collection of qualitative data about knowledge management practices. The analysis was carried out over a six month period by means of ethnographic research and a series of interviews. It focused mainly on the personnel involved in Knowledge Management initiatives within two information technology units of a telecommunication firm.

This article proposes a new institutional perspective of knowledge management as an alternative of the instrumental point of view. The authors argue that knowledge management initiatives are better understood if considered as rational myths instead of rational choices.

The paper has some limitations. First, the research is based on a single case study; secondly, the authors acknowledge the difficulty in having full access to decision‐making rooms or corridors “of power” where institutional pressure is exerted. To improve the theoretical framework and the methodological approach, both qualitative and quantitative analyses are recommended.

Why do organizations, even in the face of the poor results produced by knowledge management initiatives, continue to invest financial and organizational resources in knowledge management related technologies? This article proposes that this apparently irrational behaviour can be explained when evaluating knowledge management initiatives, rather than in their instrumental value, as symbolic means to legitimate the organization in an environment where the management of knowledge is said to be a core feature of modern organizations.