POE2 Lecture 4

A business mindset focused on proactive IT leadership and linking business strategy with IT decisions to achieve optimal value creation.

IT spending directed towards maintaining existing systems and operations, ensuring daily business functions.

The process of adopting and using new technologies effectively in a business context.

Examining the factors that influence individuals' and organizations' acceptance and use of new technologies, particularly in the context of ethics and privacy.

The use of technology to drive business growth and transformation rather than just maintaining existing operations.

The practice of reacting to immediate problems or crises, often in a firefighting mode, instead of proactively planning for the future.

Spending a significant portion of IT budgets on maintaining existing systems and operations, potentially neglecting opportunities for growth and innovation.

Strategic initiatives that aim to drive business growth and transformation through technology, such as implementing AI or modernizing business processes.

A framework that explains how new technologies spread within a society, outlining different stages from awareness to adoption.

A model that depicts the hype and eventual maturity of a new technology, going through stages like 'Innovation Trigger' to 'Plateau of Productivity'.

The point in the Diffusion of Innovation model where a new technology gains a significant user base and starts gaining mainstream acceptance.

The success of a new technology for a business, considering factors like system quality, information quality, and user satisfaction.

The first version of the DeLone & McLean framework, defining system quality, information quality, use, user satisfaction, individual impact, and organizational impact as key success factors.

An updated version of the DeLone & McLean framework, refining and adding components like net benefits, service quality, and intention to use, enhancing the framework's complexity and comprehensiveness.

A measure used to assess the effectiveness and value of an information system (IS) based on its intended goals and user needs.

A model that examines the factors that influence the adoption and diffusion of new innovations within a society or population.

A model that explains user acceptance of information technology based on perceived usefulness and ease of use.

Factors that can impact the successful implementation and use of information systems, including technical issues, functional limitations, and user adoption.

The degree to which individuals or organizations decide to use a particular technology or innovation.

The potential impact of a technology or innovation on an individual or organization, measured by the overall value derived from its use.

A model that considers the factors that influence an individual's decision to adopt a new technology, including individual characteristics, social influences, and technology features.

A model that explains the decision-making process involved in revealing personal information online, considering perceived risks and benefits.

The ability of a company to effectively leverage digital technology to gain a competitive advantage in the market. It involves a strategic approach to utilizing technology to enhance processes, create new offerings, and improve customer experiences.

A company's capacity to effectively lead and manage digital transformation initiatives. It involves key skills like vision setting, strategic decision-making, fostering a digital culture, and motivating change within the organization.

The increased value a product or service gains as the number of users increases. This is due to the interconnectedness and interactions among users, creating a positive feedback loop where more users attract more users.

Platforms that connect various users, facilitate interactions, and enable transactions amongst them. They often leverage network effects to create value by matching demand and supply efficiently.

Digital products and services have low production costs and can be replicated easily, making them susceptible to imitation. Therefore, digital platforms need to attract a massive user base to offset low revenue margins and achieve profitability.

The ability to match demand and supply efficiently within a digital platform. This is often achieved through sophisticated algorithms and data analytics.

The ability of a digital platform to facilitate transactions between different users. This involves secure payment systems, order fulfillment mechanisms, and dispute resolution processes.

A situation where the most successful company in a market dominates a large majority of the market share. This often happens in industries with strong network effects.

The apparent lack of a clear correlation between investments in IT and increased national productivity as observed in economic data.

A theory suggesting IT has become a commodity, similar to railroads and electricity, with diminishing returns and decreasing importance for competitive advantage.

The idea that IT investments can lead to increased productivity and benefits at the individual firm level, even if these gains are not reflected in overall national productivity.

The ongoing debate and investigation into the measurement criteria and indicators used to assess the success of IT investments, seeking to identify what truly defines IT success.

The argument that IT investments can contribute to improvements in the quality of goods and services across an entire industry, even if overall productivity numbers may not show a significant increase.

The idea that early IT investments may not immediately yield visible returns but can have a delayed impact on productivity, making it difficult to measure their short-term contribution.

The possibility of inaccurately measuring the true impact of IT investments due to limited data and methodologies, potentially leading to an underestimation of IT's value.

The point in the technology adoption lifecycle where early adopters have embraced a new technology, but the general public is still hesitant due to unproven value, leading to a drop in hype and interest.

A marketing book that explores strategies for successfully transitioning a new technology from early adopters to the mainstream market, emphasizing the importance of addressing the needs and concerns of early majority users.

A model developed by Geoffrey Moore, it proposes that technology adoption follows a pattern with distinct stages: innovators, early adopters, early majority, late majority, and laggards.

An extension of the TAM model that incorporates additional factors influencing technology adoption, such as social influence, facilitating conditions, and performance expectancy, providing a more comprehensive perspective.

Factors that directly influence a person's or organization's likelihood of adopting a new technology.

Variables that moderate the relationship between independent variables and technology adoption, such as the organization's culture or the individual's technical skills.

A theory developed by Davis in 1989 which aimed to identify the factors that influence the acceptance and use of information systems by individuals. It posits that the acceptance of an information system is determined by the perceived usefulness and ease of use of the system.