Abstract
Human-centered design is an approach that focuses on involving the end user throughout the product development and testing process which can be crucial in ensuring that the product meets the needs and capabilities of the user, particularly in terms of user experience and safety. The structured and iterative nature of human-centered design can often be a challenge for the design team when faced with the necessary, rapid, product development life cycles associated with the competitiveness in the industry. This ensures that the needs of the user are taken into account throughout the design process whilst also maintaining a rapid pace of development, and its rationale before outlining how it was applied to assess and enhance the usability, human factors, and user experience within destructive digital ecosystem era. The authors encouraged a system approach such as human-centered design for prevention on further damages being done on data breaches through the application of each steps of the process.
TopTheoretical Concepts And Discussions
Any design activity is the identifying of the meaning which the product or service should offer to people (Krippendorff, 2004). Such a view suggests that design activity should concentrate first and foremost on questions of learning previously proceeding to identify the means of implementation. The definition of human-centered designs, is a logical and practical approach that make sense. Human-centered design is suitable for incremental innovation but not likely to lead for radical innovation because of the repetition on observation, ideation and testing. Human-centered knowledge and practices is one of the main roles in the design innovation which can create an opportunity for the fields of human-centered design to be more strategic. Not only this but also the human-centered design was also criticized for not having the sufficient skills and knowledge that were required to operate a strategic innovation context. Central to this application and exploitation is the knowledge in design process. Creating and and sharing knowledge is essential to fostering innovation and is the key challenge of knowledge-based economy (Ibrahim and Barr, 2009). Hence, by applying the Human-Centered Design it can enhance the success of the business.
Key Terms in this Chapter
Innovation Management Structure: This key aspect of innovation management includes organisational structure, processes, and infrastructure of the organisation. Having the right organisational structure is very important as it can help the organisation to be innovative and achieve its goals as well as ensuring its survival. Traditionally, most organisations are using hierarchical models in which decisions are taken in a top-down manner. This approach had faced some challenges especially in developing their digital strategies as per an adage that state for every products and services created by a company are reflected by their organisational charts and communication structures i.e. by having a traditional and hierarchical organisation in which the product development teams have a very thick layers with their users, project managers, and so on will mostly having a hard time to ensure acceptance of the products or services from the users.
Digital Ecosystem: A distributed, adaptive, open socio-technical system with properties of scalability, sustainability, and self-organization, inspired from natural ecosystems. This is achieved through the use of digital technologies.
Innovation Management Strategy: Strategy is about positioning for longevity, and making decisions around the organisation on which services and products to deliver, and allocating resources efficiently to achieve the long-term and superior performance. With organisational strategy, it can help to create alignment between the employees in achieving the organisational goals as they know which activities to prioritize more. Furthermore, it can also help to align the organisation's resources and efficiently use them to maximise the strategic success.
Innovation Management Culture: In every organisation, culture is very integral and unique and different organisations have different cultures that might work for some organisations but not for others. Organisational Culture is “The sum of values and rituals which perform as 'glue' to integrate the members within an organisation”. It may include experiences, ways of thinking, future expectations, and beliefs. This aspect of innovation management is dominated by emotional energy and influence. When the culture within the organisation is positive and in sync with the organisation's strategic priorities, it can increase and improve the organisation operations and achieve its strategic goals.
Innovation Management Capabilities: These refer to organisation's ability to manage resources including employees and meeting their customer/user demands. New skills and capabilities can ensure growth and development in the long term and for organisations to improve their digital transformation efforts, they need to source fresh talent and nurture current skills within the organisations. In innovation management, the capabilities aspect mainly revolves around people's abilities, unique insights, and practical skills in the organisation.
Innovation Management: This refers to the reinventing of management process in an organisation such as strategic planning project management, knowledge management, employee assessment. Innovation management can create an enduring success if the organisations are able to meet one of the three conditions: 1) it is systemic, 2) it consists of a range of processes and methods and 3) it is part of an ongoing program of inventions.
Automation: Automation is machine-controlled execution of actions, based on artificial intelligence and machine learning that do not require human intervention. It enables speed to action to help reduce time taken by human operators.
DSS (Decision Support System): A decision support system (DSS) is a computer-based application that collects, organizes, and analyzes organizational data to facilitate quality decision-making for management, operations and planning.
UEBA (User and Entity Behaviour Analytics): This is in the context of computer security. UEBA is a tool that uses AI to collect, track and analyse data from computer activities to indicate suspicious behaviours. It utilizes deep learning and machine learning to shape user behaviour and devices that are connected to the organization’s network.