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1 – 2 of 2Paule Poulin, Lea Austen, Catherine M. Scott, Cameron D. Waddell, Elijah Dixon, Michelle Poulin and René Lafrenière
When introducing new health technologies, decision makers must integrate research evidence with local operational management information to guide decisions about whether and under…
Abstract
Purpose
When introducing new health technologies, decision makers must integrate research evidence with local operational management information to guide decisions about whether and under what conditions the technology will be used. Multi‐criteria decision analysis can support the adoption or prioritization of health interventions by using criteria to explicitly articulate the health organization's needs, limitations, and values in addition to evaluating evidence for safety and effectiveness. This paper seeks to describe the development of a framework to create agreed‐upon criteria and decision tools to enhance a pre‐existing local health technology assessment (HTA) decision support program.
Design/methodology/approach
The authors compiled a list of published criteria from the literature, consulted with experts to refine the criteria list, and used a modified Delphi process with a group of key stakeholders to review, modify, and validate each criterion. In a workshop setting, the criteria were used to create decision tools.
Findings
A set of user‐validated criteria for new health technology evaluation and adoption was developed and integrated into the local HTA decision support program. Technology evaluation and decision guideline tools were created using these criteria to ensure that the decision process is systematic, consistent, and transparent.
Practical implications
This framework can be used by others to develop decision‐making criteria and tools to enhance similar technology adoption programs.
Originality/value
The development of clear, user‐validated criteria for evaluating new technologies adds a critical element to improve decision‐making on technology adoption, and the decision tools ensure consistency, transparency, and real‐world relevance.
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Akuraun Shadrach Iyortsuun, Mwuese Theresa Nmadu, Reuel Dakung and Monica C. Gajere
This paper aims to attempt to synthesize the evidence in literature on the link between passion and passion outcomes to propose a parsimonious framework of entrepreneurial passion…
Abstract
Purpose
This paper aims to attempt to synthesize the evidence in literature on the link between passion and passion outcomes to propose a parsimonious framework of entrepreneurial passion and venture performance based on the theory of social cognition, identity and self-regulation.
Design/methodology/approach
A detailed review of empirical and conceptual articles related to the topic was the adopted methodology. An eclectic synthesis of the evidence guided the development of the framework as proposed.
Findings
Empirical review of the related studies reveals that the link between entrepreneurial passion and venture performance is distal. Based on the theoretical foundation of the study, entrepreneurial passion is proposed to have a direct link on venture performance and an indirect link mediated by goal-setting, entrepreneurial behavior and entrepreneurial self-efficacy. Control variables proposed include age, sex, size, work experience or tenure and self-regulation or feedback.
Research limitations/implications
Entrepreneurial passion is conceived as an experienced construct conceptualized as the interaction of intense positive feeling and identity centrality associated with venture outcomes defined as opportunity recognition, venture creation/growth and threshold performance.
Practical implications
The study provides a parsimonious framework of entrepreneurial passion and venture performance that includes goals, entrepreneurial behavior and self-efficacy as mediator variables and age, sex, size, work experience or tenure and self-regulation or feedback as control variables.
Originality/value
The framework extends the ontological field of entrepreneurial passion, which can be validated by empirical research.
Details