Suchergebnisse

Purpose
– The purposes of this study were to formulate a hierarchical table of factors that influence adoption of an inter-organization system (IOS) by enterprises and to apply multi-criteria decision-making (MCDM) tools to find the weights of these factors and to objectively identify the critical success factors (CSFs) for the adoption of IOSs by small- and medium-sized enterprises (SMEs).


Design/methodology/approach
– This study first used a literature review to collect the factors that affect an enterprise's adoption of an IOS and then constructed a three-level hierarchical table of these factors, based on a technology – organization – environment framework. Fuzzy analytic hierarchy processing was used, based on the returned questionnaires, to determine the weights of the factors. The concept of VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) acceptable advantage was used to objectively identify the CSFs of SMEs that have adopted an IOS.


Findings
– This study identifies six CSFs of SMEs that have adopted an IOS: industry knowledge and experience, the degree of application of information technology within the industry, system safety, the organizational infrastructure, customer relationships and ease of use. In addition, four findings are proposed.


Practical implications
– The work has studied, in depth, the factors that influence the adoption of an IOS by SMEs and identified four practice implications that provide a useful guideline for SMEs when they plan to adopt an IOS.


Originality/value
– The identification of CSFs is also an MCDM problem. However, very few previous articles have used MCDM tools to identify the CSFs. This study adopted MCDM tools to objectively identify these CSFs and determine their appropriate weights. The results can help the managers of SMEs allocate their resources, according to the weighting of these CSFs, when they are making plans to adopt an IOS.

BACKGROUND: The National Health Insurance Administration of Taiwan has introduced several pay-for-performance programs to improve the quality of healthcare. This study aimed to provide government with evidence-based research findings to help primary care physicians to actively engage in pay-for-performance programs. METHODS: We conducted a questionnaire survey among family physicians with age-stratified sampling from September 2016 to December 2017. The structured questionnaire consisted of items including the basic demographics of the surveyee and their awareness of and attitudes toward the strengths and/or weaknesses of the pay-for-performance programs, as well as their subjective norms, and the willingness to participate in the pay-for-performance programs. Univariate analysis and multivariate logistic regression analysis were performed to compare the differences between family physicians who participate in the pay-for-performance programs versus those who did not. RESULTS: A total of 543 family physicians completed the questionnaire. Among family physicians who participated in the pay-for-performance programs, more had joined the Family Practice Integrated Care Project [Odds ratio (OR): 2.70; 95% Confidence interval (CI): 1.78 ~ 4.09], had a greater awareness of pay-for-performance programs (OR: 2.37; 95% CI: 1.50 ~ 3.83), and a less negative attitude to pay-for-performance programs (OR: 0.50; 95% CI: 0.31 ~ 0.80) after adjusting for age and gender. The major reasons for family physicians who decided to join the pay-for-performance programs included believing the programs help enhance the quality of healthcare (80.8%) and recognizing the benefit of saving health expenditure (63.4%). The causes of unwillingness to join in a pay-for-performance program among non-participants were increased load of administrative works (79.6%) and inadequate understanding of the contents of the pay-for-performance programs (62.9%). CONCLUSIONS: To better motivate family physicians into P4P participation, hosting effective ...