Managing Indian IT professionals for global competitiveness: the role of human resource practices in developing knowledge and learning capabilities for innovation

Little is known about how human resource practices contribute towards the competitiveness of people based-knowledge intensive organisations in developing countries. This paper examines the role of human resource practices in developing knowledge and learning capabilities for innovation in the Indian information technology services sector. The study draws from the experience of a sample of 11 of the largest information technology service providers (ITSPs) in India and is based on in-depth interviews. The main finding suggests that the talent management architecture of ITSPs that comprises human resource practices and the development of knowledge and learning capabilities is the main drivers of innovation. A conceptual framework showing the link between human resource practices, knowledge and learning capabilities and innovation of ITSPs is developed followed by the limitations of the study and avenues for future research.

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.

Twelve steps to heaven:successfully managing change through developing innovative teams

In this article we propose that work teams implement many of the innovative changes required to enable organizations to respond appropriately to the external environment. We describe how, using an input?–?process?–?output model, we can identify the key elements necessary for developing team innovation. We propose that it is the implementation of ideas rather than their development that is crucial for enabling organizational change. Drawing on theory and relevant research, 12 steps to developing innovative teams are described covering key aspects of the team task, team composition, organizational context, and team processes.

Competence requirements for managing supply in interorganizational networks

The authors address the growing call for research into the management of supply networks serving the public sector. Building on prior action research, this empirical paper focuses on the management of supply in interorganizational, health sector networks identifying the competence requirements (skills, knowledge, traits, and behavioural indicators) associated with effective team performance. Drawing on empirical data, the authors present a competence framework that aims to capture a team’s tacit understanding of strategic supply management. Competence indicators are organized into six themes: network understanding; developing network position; relationship management; learning, knowledge and knowledge management; strategy formulation; strategy implementation. Finally, the relevance of the framework to boundary spanning personnel outside the purchasing function and to other organizations is considered.