Sentence examples for value expectations from inspiring English sources

A total of 21 different value expectations (VEs) across all four stakeholder groups were identified.

This longitudinal case study examines how the business models of three Canadian health technology spin-offs sought to address the value expectations of clinical users and capital investors, how tensions were resolved, and the impact this had on technology design.

Beyond confirming the importance of differentiating business models in the health technology industry, our study suggests that it is not only who makes decision that matters, but also how stakeholders' value expectations get embedded in a spin-off's value proposition.

Treating a customer demand for software development as a request for an IT service is a promising way for addressing the customer value expectations, in line with the definition of services by ISO/IEC ([2011]), which defines a service as a "means of delivering value to customers by facilitating outcomes customers want to achieve".

Other researchers have distinguished between "probability expectations" (what participants think is likely to happen) and "value expectations" (what participants want, feel they need, feel they are due, or what they hope for) [ 11, 12].

We think that patient expectations are a multifaceted and complex construct, which is recognized in several reviews [ 20, 38, 39], Kravitz [ 39] for example distinguishes probability (i.e. the estimated probability that an event will occur) and value expectations (i.e. idealized expectations, hopes/wishes) whilst Bandura [ 18] distinguishes self efficacy expectations and outcome expectations.

Its value expectation rises, as does its expertise with interacting with the platform.

Compared with the previous stochastic optimization models in reverse logistics system design, which mainly focuses on the expectation of the optimal value, this paper, however, emphasizes on both optimal value expectation and its reliability in decision-making.

In predictive coding, prior beliefs and sensory data are represented as probability distributions, with a mean value (expectation) and a precision (inverse variance).

Motivational factors can affect the educational process given that the values, expectations, and career-related goals of incoming students influence their attitudes to education.

The values, expectations, and day-to-day routines that characterize experience within any TIDS will all shape the emergence of positive and/or negative impacts.