Modelling as learning: a consultancy methodology for enhancing learning in management teams

This article reviews the experiences of a practising business consultancy division. It discusses the reasons for the failure of the traditional, expert consultancy approach and states the requirements for a more suitable consultancy methodology. An approach called ‘Modelling as Learning’ is introduced, its three defining aspects being: client ownership of all analytical work performed, consultant acting as facilitator and sensitivity to soft issues within and surrounding a problem. The goal of such an approach is set as the acceleration of the client's learning about the business. The tools that are used within this methodological framework are discussed and some case studies of the methodology are presented. It is argued that a learning experience was necessary before arriving at the new methodology but that it is now a valuable and significant component of the division's work.

Learning in virtual teams: exploring the student experience

In 2005 an existing undergraduate course in project management was converted from face-to-face mode to wholly online mode. Wholly online mode means that there are no face-to-face classes at all, and all teaching and learning is facilitated through an online environment.

The revised project management course was designed with an underlying problem-based learning (PBL) pedagogy and used a simulated, fictitious telecommunications company, United Enterprises (UE), as a case study learning resource. The students worked in virtual teams to complete online learning activities and to solve authentic project management tasks for UE. Employees of UE were available online to provide direction and answer further questions about the tasks.

The overall research study used an action research methodology in which feedback was elicited from two groups of stakeholders involved in the project management course - students and teaching staff. The feedback was used to plan, develop and implement the new Information Technology (IT) Professional Practice course.

This paper reports on the findings of three anonymous student surveys that were conducted after each of the main project management topics and tasks were completed. The surveys sought feedback in a number of areas. However, the feedback reported here relates specifically to student opinions about their experiences of working in virtual teams within the learning environment. Other aspects of the research, including student perceptions of UE and feedback from the teaching staff, are not reported here.

Across the three surveys, most students indicated that they valued the opportunity to discuss various aspects of the course with peers and teaching staff online, and to interact with real-life employees of UE. Although discussion forums were the prescribed method for communication other forms of communication such as email, chat and face-to-face meetings were also used. According to the students, the best things about online group work were that it provides the flexibility of time and place; it allows communication and participation to be recorded; and is an ‘efficient’ way of working. The worst things about online group work were that communication is more difficult and that team members leave participation and submission to
the last minute. While up to 15 percent of students did not like the experience of online group work at all, overall students were generally satisfied with this style of learning and enjoyed the experience of working collaboratively within a virtual team.

The research has highlighted a number of areas where improvements can be made to the student experience of working in virtual teams. These improvements will be adopted in the development and delivery of the new course as part of the action research study.

The link between self-managed work teams and learning organisations using performance indicators

Both the learning organization literature and the self-managed work team literature have alluded to the potential links between teamwork and learning. However, as yet the link between these two concepts remains undeveloped. This study uses a survey of a random sample of 200 Australian organizations to empirically examine the relationships between self-managed work teams and the learning organization using performance indicators as a medium. It was found that the learning organization concept displays a moderate to strong link with three measures of performance used in this study: knowledge performance, financial performance and customer satisfaction. Although the self-managed work team concept did not display any significant relationship with performance, the qualitative component of the survey did emphasize that there is a common belief that self-managed teams can increase performance in the right setting. While an insignificant relationship between self-managed teams and the learning organization was also found, this study suggests some methodological concerns for future research into the relationship between self-managed teams and the learning organization.

Using knowledge management processes to develop and implement organisational training strategies for virtual teams : an action learning approach

This paper develops a conceptual model of a knowledge management system that could be used to develop and implement organizational training strategies for virtual teams. An action research-based case is presented to support and illustrate the contention that action-learning methods can be effectively used to enable and tap into the knowledge generated by virtual teams. Virtual teams are an increasingly common response to changing organizational needs. However, the use of virtual teams has outpaced our understanding of their dynamics and unique characteristics. Practitioners are now offering virtual team training, but few organizations are making the effort to offer in-house training. Moreover, they are missing out on the opportunity to systematically capture the knowledge produced by virtual teams and cycle it back into virtual team training and support systems.

Leaders and their teams : learning to improve performance with emotional intelligence and using choice theory

Looks at the relationship between emotional intelligence and choice theory in the work world, with particular emphasis on the implications on health and productivity. Most of us have a managing or leading role of some sort, whether at home, in community life, or at work. Also, as a professional, one can be leading through professional expertise and not necessarily because of one's place in the organizational hierarchy. There is an increasing awareness of the role of leadership and team development in organizational development, for example in health care where change is needed to manage the chronic disease burden (Dunbar et al., 2007) and utilizing and retaining a dwindling workforce (Schoo, Stagnitti, Mercer, & Dunbar, 2005). This is forcing leaders and their teams to work as smart as they can with resources that are available to them. Positive leadership has been associated with outcomes that include happy relationships, teamwork, learning, recognition, staff retention, and health and wellbeing. There is evidence that emotionally intelligent leaders in workplaces are able to bring about these positive out- comes because they are attuned to the emotions that move people around them (Goleman, Boyatzis, & McKee, 2002). In this sense, emotion can be defined as aroused energy that takes a direction (Hunt, 2004a) (Latin: e = from, movere = to move). Valerie Hunt regards emotion as the metronome of life (Hunt, 2004b). Although emotion can be a feeling state (e.g., fear, anger, joy, hate or sorrow) associated with action, its energy is, according to Hunt, directed to action, to behave(Hunt, 2004b). As mentioned in an earlier publication (Schoo, 2005), Pert (Flowers, Grubin, & Meryman-Brunner, 1993) regards emotions as a bridge that connects the mental and physical realities (p.187), and sees neuropeptides as the physical representations of these emotions. Negative thoughts and emotions such as excitement and anger have been found to increase gut motility, cancer risk and arterial plaque formation which can lead to a heart infarct (Pert, 1997), whereas positive emotions seem to do the opposite.

A framework for co-ordination and learning among teams of agents

We present a framework for team coordination under incomplete information based on the theory of incomplete information games. When the true distribution of the uncertainty involved is not known in advance, we consider a repeated interaction scenario and show that the agents can learn to estimate this distribution and share their estimations with one another. Over time, as the set of agents' estimations become more accurate, the utility they can achieve approaches the optimal utility when the true distribution is known, while the communication requirement for exchanging the estimations among the agents can be kept to a minimal level.

New Methodology for Integrating Teams into Multidisciplinary Project Based Learning

This paper describes the collaboration among students and professors in four different subjects, to develop multidisciplinary projects. The objective is to simulate the conditions in a company environment. A new methodology based on student interaction and content development in a Wiki environment has been developed. The collaborative server created an ‘out of the classroom’ discussion forum for students of different subjects, and allowed them to compile a ‘project work’ portfolio. Students and professors participated with enthusiasm, due to the correct well-distributed work and the easiness of use of the selected platform in which only an internet connected computer is needed to create and to discuss the multidisciplinary projects. Quality of developed projects has been dramatically improved due to integration of results provided from the different teams.

Decentralized multi-tasks distribution in heterogeneous robot teams by means of ant colony optimization and learning automata

This paper focuses on the general problem of coordinating multiple robots. More specifically, it addresses the self-election of heterogeneous specialized tasks by autonomous robots. In this paper we focus on a specifically distributed or decentralized approach as we are particularly interested on decentralized solution where the robots themselves autonomously and in an individual manner, are responsible of selecting a particular task so that all the existing tasks are optimally distributed and executed. In this regard, we have established an experimental scenario to solve the corresponding multi-tasks distribution problem and we propose a solution using two different approaches by applying Ant Colony Optimization-based deterministic algorithms as well as Learning Automata-based probabilistic algorithms. We have evaluated the robustness of the algorithm, perturbing the number of pending loads to simulate the robot’s error in estimating the real number of pending tasks and also the dynamic generation of loads through time. The paper ends with a critical discussion of experimental results.