Topic: We all had the unfortunate experience of seeing how computers can, at times, make life’s journey a bit more difficult. This is especially true in knowledge centric workplaces. Describe an example of a very poorly implemented database that you’ve encountered (or read about) that illustrates the potential for really messing things up. Include, in your description, an analysis of what might have caused the problems and potential solutions to them. Be sure to provide supporting evidence, with citations from the literature.
Title: Impact of Poorly Implemented Databases in Knowledge-Centric Workplaces
The efficient management of databases is crucial in knowledge-centric workplaces to optimize organizational processes and facilitate decision-making. However, the poor implementation of databases can lead to significant disruptions, hindering productivity and negatively affecting organizational outcomes. In this paper, we will discuss an example of a poorly implemented database, highlighting the implications it can have in a knowledge-centric workplace. Additionally, we will analyze the potential causes of the problems and explore potential solutions.
Example of a Poorly Implemented Database
One prominent example of a poorly implemented database is the case of the National Health Service (NHS) in the United Kingdom, specifically the infrastructure known as the National Programme for IT (NPfIT). The NPfIT was launched in 2002 with the aim of creating a centralized electronic health record system across NHS organizations. However, it faced numerous challenges and ultimately failed to deliver the intended benefits.
The analysis of this case reveals several problems that contributed to the ineffective implementation of the database and its subsequent negative impacts on the NHS. One major issue was the lack of consultation with end-users, such as healthcare professionals, during the design and development phases. The absence of user involvement resulted in a system that did not align with the specific needs and workflows of the healthcare providers. Consequently, this led to resistance toward the adoption of the database and a decrease in user satisfaction.
Furthermore, inadequate project management practices played a significant role in the failure of the NPfIT. The program was characterized by unrealistic timelines, insufficient resource allocation, and poor communication between stakeholders. These factors resulted in delays and cost overruns, which further undermined the effectiveness of the database implementation. As a consequence, the NPfIT was widely criticized and eventually abandoned, wasting an estimated £10 billion of public funds (Greenhalgh et al., 2008).
To avoid the shortcomings observed in the case study, several potential solutions can be explored. Firstly, it is imperative to involve end-users in the design and development of the database. Participatory design approaches, such as co-creation workshops and user feedback sessions, can provide valuable insights into the specific needs and requirements of the knowledge-centric workplace. This involvement ensures that the database system aligns with the unique workflows and enhances user satisfaction.
Additionally, effective project management practices should be implemented from the outset. This includes realistic goal setting, adequate resource allocation, and regular communication among all relevant stakeholders. A project management approach that embraces iterative development and frequent feedback loops can help identify and address issues promptly, improving the chances of successful database implementation.
Furthermore, organizations should consider leveraging existing knowledge management frameworks and best practices when implementing databases. These frameworks provide insights into successful implementation techniques, such as data modeling, metadata standards, and information architecture. Drawing from established literature in the field of knowledge management can inform decision-making and enhance the chances of a database implementation being successful.
In conclusion, the example of the NPfIT in the NHS illustrates the potential negative impacts of a poorly implemented database in a knowledge-centric workplace. The lack of user involvement and inadequate project management practices were significant contributors to its failure. By involving end-users, implementing effective project management practices, and leveraging existing knowledge management frameworks, organizations can mitigate the risks associated with database failure and ensure successful implementation in knowledge-centric workplaces.
Greenhalgh, T., Stramer, K., Bratan, T., Byrne, E., Mohammad, Y., & Russell, J. (2008). Introduction of shared electronic records.