Re-reengineering the dream: agility as competitive adaptability

Organizational adaptation and transformative change management in technology-based organizations is explored in the context of collaborative alliances. A Re-reengineering approach is outlined in which a new Competitive Adaptability Five-Influences Analysis approach under conditions of collaborative alliance, is described as an alternative to Porter’s Five-Forces Competitive Rivalry Analysis model. Whilst continuous change in technology and the associated effects of technology shock (Dedola & Neri, 2006; Christiano, Eichenbaum & Vigfusson, 2003) are not new constructs, the reality of the industrial age was and is a continuing reduction in timeline for relevance and lifetime for a specific technology and the related skills and expertise base required for its effective implementation. This, combined with increasing pressures for innovation (Tidd & Bessant, 2013) and at times severe impacts from both local and global economic environments (Hitt, Ireland & Hoskisson, 2011) raises serious challenges for contemporary management teams seeking to strategically position a company and its technology base advantageously, relative to its suppliers, competitors and customers, as well as in predictive readiness for future technological change and opportunistic adaptation. In effect, the life-cycle of a technology has become typically one of disruptive change and rapid adjustment, followed by a plateau as a particular technology or process captures and holds its position against minor challenges, eventually to be displaced by yet another alternative (Bower & Christensen, 1995)

Impact in networks and ecosystems: building case studies that make a difference

open accessThis toolkit aims to support the building up of case studies that show the impact of project activities aiming to promote innovation and entrepreneurship. The case studies respond to the challenge of understanding what kinds of interventions work in the Southern African region, where, and why. The toolkit has a specific focus on entrepreneurial ecosystems and proposes a method of mapping out the actors and their relationships over time. The aim is to understand the changes that take place in the ecosystems. These changes are seen to be indicators of impact as increased connectivity and activity in ecosystems are key enablers of innovation. Innovations usually happen together with matching social and institutional adjustments, facilitating the translation of inventions into new or improved products and services. Similarly, the processes supporting entrepreneurship are guided by policies implemented in the common framework provided by innovation systems. Overall, policies related to systems of innovation are by nature networking policies applied throughout the socioeconomic framework of society to pool scarce resources and make various sectors work in coordination with each other. Most participating SAIS countries already have some kinds of identifiable systems of innovation in place both on national and regional levels, but the lack of appropriate institutions, policies, financial instruments, human resources, and support systems, together with underdeveloped markets, create inefficiencies and gaps in systemic cooperation and collaboration. In other words, we do not always know what works and what does not. On another level, engaging users and intermediaries at the local level and driving the development of local innovation ecosystems within which local culture, especially in urban settings, has evident impact on how collaboration and competition is both seen and done. In this complex environment, organisations supporting entrepreneurship and innovation often find it difficult to create or apply relevant knowledge and appropriate networking tools, approaches, and methods needed to put their processes to work for broader developmental goals. To further enable these organisations’ work, it is necessary to understand what works and why in a given environment. Enhanced local and regional cooperation promoted by SAIS Innovation Fund projects can generate new data on this little-explored area in Southern Africa. Data-driven knowledge on entrepreneurship and innovation support best practices as well as effective and efficient management of entrepreneurial ecosystems can support replication and inform policymaking, leading thus to a wider impact than just that of the immediate reported projects and initiatives

Human resource development in construction organisations: an example of a 'chaordic' learning organisation?

Purpose/ Methodology/Approach The concept of the Learning Organisation (LO) is associated with an advanced approach to Human Resource Development (HRD) characterised by an ethos of self-responsibility and self-development. The learning climate that this engenders is supported by temporary organisational structures responsive to environmental change. This paper presents case study research of the HRD strategy, policy and practice of a large UK-based construction contractor in relation to the concept of LO. Findings The analysis suggests that the organisational project-based structure and informal culture combine to form a ‘chaordic LO’. A ‘Chaordic enterprise’ comprises a complex organisation that operates in a non-linear dynamic environment. However, it appears that this approach has evolved unintentionally rather than as a result of targeted Strategic Human Resource Management (SHRM) policies, which in turn reflects a genuine commitment to advanced HRD. Originality/value of paper The findings render previous assertions that the industry fails to invest in its employees highly questionable. They suggest a need for further research to reveal how such approaches can be captured in replicate in the future

Mapping factors influencing EAI adoption in the local government authorities on different phases of the adoption lifecycle

Several private and public organisations have adopted Enterprise Application Integration (EAI), however, its application in the Local Government Authorities (LGAs) is limited. Although, there exist few EAI adoption models, these models mainly focus on a number of different factors (e.g. benefits, barriers, cost) influencing the decision making process for EAI adoption. Moreover, these models do not illustrate which factor(s) influence the decision making process for EAI adoption on the adoption lifecycle phases. Literature indicates that the adoption process involves a sequence of phases an organisation passes through before taking the decision for adoption. This exemplifies that LGAs may also have to pass through several adoption phases before taking the decision to adopt EAI. However, due to the: (a) multiplicity of diverse EAI adoption factors and (b) not able to recognise which factor(s) influence EAI on adoption lifecycle phases, it may not be easy for LGAs to take decisions to adopt EAI by merely focusing on different factors. This may impede the decision making process for EAI adoption in LGAs. Notwithstanding, the implications of EAI have yet to be assessed, leaving scope for timeliness and novel research. Therefore, it is of high importance to investigate this area within LGAs and result in research that contributes towards successful EAI adoption. This paper makes a step forward as it: (a) investigates and proposes four adoption lifecycle phases, (b) validates the adoption lifecycle phases and (c) mapping the factors influencing EAI adoption on the adoption lifecycle phases, through a case study. Hence, it significantly contributes to the body of knowledge and practice. In doing so, providing sufficient support to the decision makers for speeding up the decision making process for EAI adoption in LGAs

Managing knowledge for through life capability

In 2005 the UK Ministry of Defence (MoD) published a White Paper in which it detailed its Defence Industrial Strategy (DIS) (UK MoD, 2005). The strategy involved a rapid transformation of UK defence towards a product-service, business-like paradigm through the adoption of Through Life Capability Management (TLCM). TLCM has since been succeeded by other initiatives. However, for organisations involved in the management of capability through life, the associated principles of operation as well as the challenges remain, including that of the management of knowledge. The confederated capability enterprise is a distributed knowledge system. Knowledge of the systems, for which a particular organisation has through-life management responsibility, may be distributed throughout an enterprise that comprises several commercial organisations as well as the customer. The bringing together of different components of capability and perspectives makes managing knowledge difficult. This is complicated further by the observation that in a decade one can expect a significant proportion of the manpower involved in a capability will have changed. Success in this type of environment requires a clear understanding of the value of particular knowledge within the organisation as well as effective knowledge management in the wider enterprise. Dstl and EPSRC have jointly funded this research which addresses management of knowledge for through life capability through modelling of the capability enterprise, a workshop on TLCM benefits and behaviours, a comparative case study at a commercial service company and the UK MoD including Dstl, and knowledge mapping within a specific exemplar capability. The results of the modelling illustrated the Systems of Systems (SoS) nature of the enterprise and the need to align capability and management processes across the enterprise. How well this can be achieved depends on the extent to which both the UK MoD and industry are willing to share, access and process information and knowledge. This would require trust between the individuals and organisations involved. The need for trust was emphasised in an international workshop where the participants discussed the behaviours that were required for the perceived benefits of TLCM to be realised. The workshop members highlighted trust in long term planning as industry seeks to manage skills and knowledge over time. ServiceCo provides communication and media services to customers globally. It comprises four customer-facing divisions and two operational units. The case which was based on interviews in one customer-facing and one operational unit revealed the following: •Focus on corporate values supports knowledge management behaviours across the organisation. •Succession planning is needed for all skills and knowledge that are critical or essential to the business. •Once the continual renewal of knowledge slows down and/or stops in an organisation, the knowledge is lost. The second case of the study was the Royal Navy Command Head Quarters and Dstl. Dstl is a trading fund that provides UK MoD and the wider UK government specialist Science & Technology services and operates and manages the Chief Scientific Advisor’s research programme. The case study revealed: •Security regulations and considerations impact significantly on effective management of knowledge. •Knowledge retrieval can be “hit and miss” as complicated filing structures and indexing practices are applied inconsistently, leading to individuals adopting a number of strategies to share knowledge. •Succession planning for people with rare skills is an issue that impacts business continuation. Comparison between the two cases showed that the two organisations experienced different problems but that the knowledge behaviours adopted by the individuals involved were essentially the same. This pointed to the need to address the issues associated with the management of knowledge as cultural and organisational in nature. Personal strategies to manage and share knowledge included individuals retaining copies of files on desktop hard drives and keeping paper copies in drawers; documents were emailed to ensure the intended audience would get it or be able to access it; and asking a colleague for advice on where to find out things. An important difference between knowledge management between the two organisations was that the UK MoD relied on processes due to the rapid change of personnel whereas the service company relied on personal relationships as people remained in the roles for longer. The knowledge mapping of “moving personnel and materiel using vehicles” revealed that each Line of Development (LoDs) has its own constituent (LoDs) indicating the requirement to manage organisational capability in order to deliver capability to customers. It also illustrated all the active knowledge that is required in order for the capability to be delivered. The research main contributions are: •Theoretical models for exploring the use of knowledge in acquisition projects over time •Comparing two organisations at separate ends of the organisational spectrum and identifying common organisational factors that influence the management of knowledge for through life capability •Recognising that the enterprise is a capability SoS. In order to successfully delivery capability, knowledge about and within the components needs to be managed. Other findings include: •Management of knowledge for TLCM puts the focus on managing knowledge for future capability requirements rather than on retention of knowledge products, bringing in aspects such as business continuation planning and consequently impacting on the organisation’s future development. •There is a strong relationship between knowledge conservation, human resource management and company policies. •Managing changes in design and/or function requires a good understanding of the different processes used within the various disciplines involved across the capability components and how they contribute to the final product and to each other. •An organisation’s goals and the manner in which it organises itself to achieve them with regard to the management of knowledge does not appear linked. Instead, focus falls on the organisational architecture and the human resource polices that it implies. •‘Knowing’ is an individual capability and also a social one; communities of practice and networking are necessary components of an organisation’s knowledge base. •Knowing whom to ask and where to look is in a knowledge retrieval perspective nearly as important as knowing what to look for. •“Individuals know while documents, processes and tools support knowing”. This emphasises the need for a close connection between humans and IT-based knowledge repositories. •The role of IT in knowledge management can either be to correlate knowledge in people’s heads to relevant projects or to correlate individuals and knowledge in relevant projects depending on the key questions asked in the management of knowledge within the organisation. •The role of IT in determining issues related to the relevance and location of documentation differs depending of the organisation’s reliance on face to face interactions between employees as a means for communicating this information. •The capability end user is in some instances hard to define. How the end user is defined determines where the SoS boundaries are defined. It is probably better to define the boundary as a broad fuzzy border. The indeterminacy implied by this view becomes a complexity issue for management of knowledge. •The impetus to manage knowledge and how is influenced legal requirements and by the organisation’s relationships with its stakeholders including the extent it is subject to external scrutiny. Based on the research, a number of recommendations are made

Overview of methodologies for building ontologies

A few research groups are now proposing a series of steps and methodologies for developing ontologies. However, mainly due to the fact that Ontological Engineering is still a relatively immature discipline, each work group employs its own methodology. Our goal is to present the most representative methodologies used in ontology development and to perform an analysis of such methodologies against the same framework of reference. So, the goal of this paper is not to provide new insights about methodologies, but to put it all in one place and help people to select which methodology to use

The evaluation and the effectiveness of project management in transformational e-government projects

This paper forms part of an ongoing research of a PhD degree to describe, critically evaluate and examine the underlying barriers and challenges in large e-Government initiatives. The paper invites technology to be incorporated and inculcated into the art and science of project management, and be part of a passable solution as opposed to being distinct and separate from it. The tools used have to increase the novelty (art and science) of project management through human interaction, and empower the project manager and aiding his capacity in delivering the expected outcomes. Due to inadequate implementations of project management procedures and processes, many large information technology systems (ITS) projects failed. This becomes a characteristic and encompasses e-Government project initiatives, due to ambitious program changes, major innovations, large transformations, enterprise wide solutions, collaboration across organizations’ governments and private sectors, and the implementation of unprecedented (or ambitious) solutions. This research paper critically analyses and summarises a list of e-Government challenges and barriers arising from an e-Government survey administered on behalf of the World Information Technology and Services Association (WITSA) which represents the national technology associations in 70 countries. It compares these challenges to the Project Management Body of Knowledge (PMBOK), which is the North American standard in project management methodology. In addition, it highlights the weaknesses in PMBOK to address these challenges and offers a technology-enabled enhancement to the Project Initiation Phase, the area identified as being particularly weak and inadequate in addressing e-Government initiatives and requirements