Methodology for Process Improvement Through Basic Components and Focusing on the Resistance to Change.

This paper describes a multi-model methodology that implements a smooth and continuous process improvement, depending on the organization's business goals and allowing users to establish their improvement implementation pace. The methodology focuses on basic process components known as ‘best practices’. Besides, it covers following the topics: knowledge management and change management. The methodology description and the results of a case study on project management process are included

Organization of Multi-Agent Systems: An Overview

In complex, open, and heterogeneous environments, agents must be able to reorganize towards the most appropriate organizations to adapt unpredictable environment changes within Multi-Agent Systems (MAS). Types of reorganization can be seen from two different levels. The individual agents level (micro-level) in which an agent changes its behaviors and interactions with other agents to adapt its local environment. And the organizational level (macro-level) in which the whole system changes it structure by adding or removing agents. This chapter is dedicated to overview different aspects of what is called MAS Organization including its motivations, paradigms, models, and techniques adopted for statically or dynamically organizing agents in MAS.Comment: 12 page

Report from GI-Dagstuhl Seminar 16394: Software Performance Engineering in the DevOps World

This report documents the program and the outcomes of GI-Dagstuhl Seminar 16394 "Software Performance Engineering in the DevOps World". The seminar addressed the problem of performance-aware DevOps. Both, DevOps and performance engineering have been growing trends over the past one to two years, in no small part due to the rise in importance of identifying performance anomalies in the operations (Ops) of cloud and big data systems and feeding these back to the development (Dev). However, so far, the research community has treated software engineering, performance engineering, and cloud computing mostly as individual research areas. We aimed to identify cross-community collaboration, and to set the path for long-lasting collaborations towards performance-aware DevOps. The main goal of the seminar was to bring together young researchers (PhD students in a later stage of their PhD, as well as PostDocs or Junior Professors) in the areas of (i) software engineering, (ii) performance engineering, and (iii) cloud computing and big data to present their current research projects, to exchange experience and expertise, to discuss research challenges, and to develop ideas for future collaborations

Technical alignment

This essay discusses the importance of the areas of infrastructure and testing to help digital preservation services demonstrate reliability, transparency, and accountability. It encourages practitioners to build a strong culture in which transparency and collaborations between technical frameworks are valued highly. It also argues for devising and applying agreed-upon metrics that will enable the systematic analysis of preservation infrastructure. The essay begins by defining technical infrastructure and testing in the digital preservation context, provides case studies that exemplify both progress and challenges for technical alignment in both areas, and concludes with suggestions for achieving greater degrees of technical alignment going forward

Contextual factors, knowledge processes and performance in global sourcing of IT services: An investigation in China

Copyright @ 2011, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Reuse of this article has been approved by the publisher.In this paper, the authors explore the influences of two major contextual factors—supplier team members’ cultural understanding and trust relationship—on knowledge processes and performance in global sourcing of IT services. The authors discuss a joint investigation conducted by a cross-cultural research team in China. Cultural understanding is measured by individualism with guanxi and mianzi, two Chinese cultural concepts, and trust relationship is measured by adjusting trust, a notion reflecting the uniqueness of the Chinese people. Knowledge processes are characterized by knowledge sharing. Performance is measured by the outcomes of global sourcing, which is represented by product success and personal satisfaction. Data are collected in 13 companies in Xi’an Software Park, with 200 structured questionnaires distributed to knowledge workers. The results of quantitative data analysis indicate that cultural understanding influences trust relationship greatly, as well as knowledge sharing and performance in global sourcing of IT services. Trust relationship significantly impacts knowledge sharing, whereas trust relationship and knowledge sharing have no impact on performance. This study suggests that special aspects of the Chinese context have significant direct impacts on knowledge processes while no direct and immediate impacts on performance in global sourcing of IT services.National Natural Science Foundation of China, Program for Humanity and Social Science Research, Program for New Century Excellent Talents in University in China and Brunel University's Research Development Fund

Towards a business-IT alignment maturity model for collaborative networked organizations

Aligning business and IT in networked organizations is a complex endeavor because in such settings, business-IT alignment is driven by economic processes instead of by centralized decision-making processes. In order to facilitate managing business-IT alignment in networked organizations, we need a maturity model that allows collaborating organizations to assess the current state of alignment and take appropriate action to improve it where needed. In this paper we propose the first version of such a model, which we derive from various alignment models and theories

Inter-organizational learning in drifting environments - Experiences from a multi-firm software development project

This paper examines conditions under which organizations can acquire and profitably utilise knowledge generated in joint product development ventures. Past research states that such learning depends on relationships between knowledge accumulation at the level of joint venture and the evolution of knowledge structures in the wider organizational environment. An important argument of this paper is that such relationships might drift abruptly due to unforeseen events taking place during project operation, creating new challenges and opportunities for learning. Drawing upon previous research on project-based learning, the paper proposes a model of interorganizational learning aimed to help managers and researchers visualising links between drift and learning in distributed project contexts. The paper illustrates and assesses the empirical relevance of the analytical framework through a case study of a multi-firm product development project in the European software industry.