23 research outputs found

    Complexity impact factors on the integration process of ERP and non ERP systems: a basis for an evaluation instrument

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    This study shows an expert confirmed initial list of factors which influence the complexity of the integration process of ERP systems and non ERP systems. After a thorough search for complexity factors in scientific literature, a survey amongst 8 experts in a leading European long special steel products company, which was recently composed out of independent international companies, was conducted. The participants confirmed the retrieved list from literature, consisting of 5 quantitative and 21 qualitative factors. The participants added one extra qualitative factor and scored the importance of all factors. Three quantitative factors, i.e. a technology, a business and a project factor, scored highest. When dealing with integration issues, this initial list of factors can provide awareness for organizations to support activities such as planning, control and risk management

    Complexity impact factors on the integration process of ERP and non ERP systems : a basis for an evaluation instrument

    No full text
    This study shows an expert confirmed initial list of factors which influence the complexity of the integration process of ERP systems and non ERP systems. After a thorough search for complexity factors in scientific literature, a survey amongst 8 experts in a leading European long special steel products company, which was recently composed out of independent international companies, was conducted. The participants confirmed the retrieved list from literature, consisting of 5 quantitative and 21 qualitative factors. The participants added one extra qualitative factor and scored the importance of all factors. Three quantitative factors, i.e. a technology, a business and a project factor, scored highest. When dealing with integration issues, this initial list of factors can provide awareness for organizations to support activities such as planning, control and risk management

    Complexity impact factors on the integration process of ERP and non ERP systems: a basis for an evaluation instrument

    No full text
    This study shows an expert confirmed initial list of factors which influence the complexity of the integration process of ERP systems and non ERP systems. After a thorough search for complexity factors in scientific literature, a survey amongst 8 experts in a leading European long special steel products company, which was recently composed out of independent international companies, was conducted. The participants confirmed the retrieved list from literature, consisting of 5 quantitative and 21 qualitative factors. The participants added one extra qualitative factor and scored the importance of all factors. Three quantitative factors, i.e. a technology, a business and a project factor, scored highest. When dealing with integration issues, this initial list of factors can provide awareness for organizations to support activities such as planning, control and risk management

    Effect on the process of care of an active strategy to implement clinical guidelines on physiotherapy for low back pain: a cluster randomised controlled trial

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    Objectives: To evaluate the effect on the process of care of an active strategy to implement clinical guidelines on physiotherapy for low back pain. Design: A cluster randomised controlled trial comparing an active strategy with standard dissemination. Setting: Primary care physiotherapy practices. Participants: 113 physiotherapists were randomly allocated to receive the guidelines by mail (control group) or to receive an additional active strategy (intervention group) which consisted of a multifaceted programme including education, discussion, role playing, feedback, and reminders. Main outcome measures: Adherence to the guidelines was measured by means of individual patients' forms recording the treatment completed by the physiotherapist. The forms were assessed using an algorithm based on the number of treatment sessions, treatment goals, interventions, and patient education. Results: Physiotherapists in the intervention group more often correctly limited the number of treatment sessions for patients with a normal course of back pain (OR 2.39; 95% CI 1.12 to 5.12), more often set functional treatment goals (OR 1.99; 95% CI 1.06 to 3.72), more often used mainly active interventions (OR 2.79; 95% CI 1.19 to 6.55), and more often gave adequate patient education (OR 3.59; 95% CI 1.35 to 9.55). They also adhered more to all four criteria (OR 2.05; 95% CI 1.15 to 3.65). Conclusions: The active strategy moderately improved adherence to the guidelines. Active strategies are recommended to implement the clinical guidelines on physiotherapy for low back pain
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