Managing Change and Innovation Essay Example | Topics and Well Written Essays - 1250 words

Managing Change and Innovation - Essay Example This discussion stresses that change management is undertaken in organizations as being a structural approach towards shifting or transitioning the organizations, teams and individuals from their present state to a desired state in the future. It accounts for an organizational process which is aimed at the empowerment of the employees towards accepting or embracing a change in their organizational or business environment. The strategy begins with a systematic approach for diagnosing the present situation for determining both the need for change and also the capacity of the organization to implement changes. However, at the beginning of the plan the purpose, objective and process of the change must be specified to every member of the organization. Most organizations have acknowledged the idea of managing innovation in their organizations. In fact the performance of innovation varies greatly across organizations which suggest that both the organizational and structural factors affect t he influence of innovation on performance. As the report declares the change management strategies are explained in terms of Kotter’s eight steps to change. The theory is one of the most important and most widely accepted texts in modern organizations. It defines eight steps in which changes can be implemented in organizations effectively. Although the steps are primarily meant for organizations, they also find application in personal change initiatives. Successful change management is also explained in terms of the Lewin’s model of organizational change.... It defines eight steps in which changes can be implemented in organizations effectively. Although the steps are primarily meant for organizations, they also find application in personal change initiatives. Successful change management is also explained in terms of the Lewin’s model of organizational change. The model is responsible for the introduction of the force field analysis which identifies both the driving forces and the resisting forces for a given change situation. Explanation of Theories John Kotter’s eight steps model for change John Kotter’s eight steps begin with the creation of a sense of urgency, which is required for initiating a change process. This would draw the people’s focus towards the process of change. This is followed by placing a guiding team for directing the change process in order to confront with any difficulty collectively. This can be in the form of a coaching team or a team of experts. They would be responsible for creating the vision or the strategy which would be the driving factor for the change. The change process must be repeatedly communicated to people to keep the context in the minds of people. People must also be empowered to undertake the change. The change must include short term visions to make the process real and enthusiastic. This would effectively build the momentum for the change process. The consecutive steps must be designed and implemented carefully to increase the momentum and confidence of people. Finally a new culture must be nurtured to ensure that the change lasts for long and awareness prevails (Rock & Page, 2009, â€Å"John Kotter’s eight steps to change†). Lewin- Three step model Lewin has proposed which is based on three

Artificial Intelligence Research Paper Example | Topics and Well Written Essays - 1500 words

Artificial Intelligence - Research Paper Example This study seeks to understand the behaviour in humans and animals, and the hope to reproduce it after extensive analysis. As such, AI has become a significant subject in computer science owing to numerous studies on intelligent behaviour through computer simulation. The simulations are geared towards influencing similar intelligent traits on to agents that perceive their environment and takes appropriate action to ensure success. The discipline is subdivided into various fields depending on their area of study and application of their product. These fields include statistical analysis, psychology, cognition, biology among others. However, the different fields often fail to communicate with each other owing to social, cultural and ethical factors, which limit the success of artificial intelligence. Although AI research does not aim at wholly imitating human intelligence, evidence exists that suggests human intelligence is a key tacit heuristic to AI researchers and strongly affects A I studies (Prudkov, 2010). In this regard, intelligence is described as a set of properties of mind, which include the ability to plan, solve problems and reason out depending on the presented stimuli. The replication of intelligence based on human and animal behaviour produces intelligent agents, which have the capacity to respond to the environment in natural way. For instance, artificial intelligence in machines coupled with algorithms, enables them to solve complex problems in humanistic fashion. In essence, AI seeks to produce useful machines that are guided by human-like intelligence and behavioural traits. The history of artificial intelligence dates back to mid-1950s where researchers wrote programs that allowed computers to solve algebraic expressions, confirming logical theorems as well as speak English. This application AI holds similar characteristics with the methods used to study cognition in experimental psychology. These methods include the measurement of IQ levels, which requires that the thinking, reasoning and learning skills be gauged to establish the level of perceptual skills.AI and psychology disciplines have naturally interacted with each other to borrow concepts while criticising the weaknesses of the other. However, it is important that psychologist and AI researchers work together as cognitive scientists in order to understand the human cognition and its incorporation into intelligent agents. The success of such research has seen the development of advanced and highly effective technological systems with industrial and social application. These technologies have illustrated the potential within AI research by developing sophisticated methods of solving problems through robust diagnostic and planning systems. Artificial intelligence is housed in sophisticated hardware systems that have evolved over time based on technological advances. Historically, the hardware system was based on vacuum tubes as established with the production of th e first generation computers. Over the years, technological advance have seen the vacuum tubes replaced by microchips to build smaller and faster hardware components for artificial intelligence. The hardware is controlled be a set of instruction in the form of software and applications, which perform designated tasks and yield results. The interaction between the hardware and software