Linking Decision Artifacts: A Means for Integrating Business Intelligence and Knowledge Management pp91‑102
Abstract: With the ability to capture ever more artifacts that trigger, substantiate, and document decisions, it has become imperative to integrate multiple streams of information from information systems/business intelligence (BI), content management, and other collaboration and knowledge management (KM) systems. This paper argues that this can be accomplished by creating a DECISION‑ID that links together evidence and decision at various levels of aggregation for use and reuse in subsequent decisions. Illustration of how this may work in part is based on a case study of The MOSAIC Group at The University of Arizona, which conducted research in international computing using a KM system called the AAIS. Organizations that embrace concepts of pre‑codification and clustering of artifacts related to decisions may achieve superior performance in the future.
Keywords: collaborative business intelligence, Arizona Analyst Information System, knowledge artifacts, decision tracking, business process integration, decision-id
Understanding Business Intelligence Understanding: Through Goods‑ and Service‑Dominant Logic Lenses pp103‑115
Abstract: Business Intelligence (BI) project failure rates are high and expected benefits are not always achieved when implementing a BI solution in an organization. Failure is characterized by recurring challenges that remain largely unresolved. Could a better understanding of BI and its challenges emerge by taking a step back to examine how BI is understood? To answer this overarching research question, this paper presents a philosophical perspective to understand BI understanding as a means to unde rstand the understanding from where BI challenges stem and, ultimately, overcome challenges to realize expected benefits more consistently. BI understanding its model of reality or worldview is examined using a worldview framework, derived from a lite rature study. Worldview characteristics are identified through a study of how BI is explained in the literature and perceived by those who practise BI as a profession. Goods‑ and Service‑Dominant Logic are then used as philosophical lenses through which to examine both the worldview characteristics of BI and the challenges experienced when implementing a BI solution. This answers further research questions. First: what are the characteristics of the model of reality or worldview of BI as a discipline ? Second: is it plausible that the model of reality held about BI by BI practitioners and academics influences and even represses the realization of benefit?. Research is supported through a literature study and an interpretive case study. This papers ma in contribution is the exploration of new avenues to overcome recurring challenges through a unique analysis of BI understanding through G‑D and S‑D Logic lenses using the framework of a worldview.
Keywords: Keywords: Business Intelligence, Worldview, Goods-Dominant Logic, Service-Dominant Logic, Service Science
Abstract: The purpose of this research is to show the link between human resources management and the knowledge management in practice, within technological SMEs. We show that the HRM processes set up by the entrepreneur and his experts collaborators in fact reveal more implicit KM practices that are deliberately integrated into the organisation through community of practices. The community of practices offers a new opportunity to assist entrepreneur in decision making to innovate by the knowledge management. The centrality of the entrepreneur is reduced for the benefit of the members of the community of practices. We used a methodology known as PAR (Participatory Action Research) strongly mobilized in the study context regarding knowledge transmission, training and recruiting. This methodology allows to both meet the organizations expectations in terms of management and knowledge transfer, and data production based on a scientific method.
Crowdsourcing User‑Contributed Solutions to Aerospace Product Development Issues through Micro‑Blogging pp126‑136
Abstract: Revenue and production output of the United Kingdoms Aerospace Industry (AI) is growing year on year and the need to develop new products and innovative enhancements to existing ranges is creating a critical need for the increased utilisation and sharing of employee knowledge. The capture of employee knowledge within the UKs AI is vital if it is to retain its pre‑eminent position in the global marketplace. Crowdsourcing, as a collaborative problem solving activity, allows employees to captur e explicit knowledge from colleagues and teams and also offers the potential to extract previously unknown tacit knowledge in a less formal virtual environment. By using micro‑blogging as a mechanism, a conceptual framework is proposed to illustrate how c ompanies operating in the AI may improve the capture of employee knowledge to address production‑related problems through the use of crowdsourcing. Subsequently, the framework has been set against the background of the product development process proposed by Maylor in 1996 and illustrates how micro‑blogging may be used to crowdsource ideas and solutions during product development. Initial validation of the proposed framework is reported, using a focus group of 10 key actors from the collaborating organisa tion, identifying the perceived advantages, disadvantages and concerns of the framework; results indicate that the activity of micro‑blogging for crowdsourcing knowledge relating to product development issues would be most beneficial during product concep tualisation due to the requirement for successful innovation.
Keywords: Keywords: Aerospace Manufacturing, Crowdsourcing Knowledge, Employee Collaboration, Knowledge Management, Micro-Blogging