PurposeThe purpose of this paper is to investigate the causal relationships among the factors influencing the technology transfer offices' (TTOs) performance.Design/methodology/approachThe fuzzy cognitive maps (FCM) method is used in this study.FindingsThe findings from this research is that TTO human resources, industry research demand, R&D budget of university and economic uncertainty are the most influential factors on the performance of TTOs. The performance outputs which are mostly affected are the factors, licenses, patents, established spin‐offs, industry research contracts and consulting income.Originality/valueThis study provides a contribution by building the mental map among the concepts which are influencing the TTOs' performance. The causal relationships are defined in a non‐hierarchical network model. Indirect effects are considered in examining the TTOs performance. The pair wise influence degrees of the factors are determined by an empirical study. Using the FCM, the impact of factors on the performance of TTOs is investigated.
Multi-faceted characteristics of urban travel have an impact on thepassengers' overallsatisfaction with the transport system. In this study, we investigate the interrelationships among traveler satisfaction, travel and traveler characteristics,and service performancein a multimodal network that comprises of a trunk line and its feeder lines. We analyze the factors influencing the choices of access to rail transit stations and the satisfaction of transit travelers with the rapid rail transit systems. We quantitatively study these relationships and demonstrate the complexity of evaluating transit service performance. Since the interrelationships among variables affecting this system are mainly stochastic, we analyzethe satisfaction with transit system problem using a Bayesian Belief Network (BBN), which helps capture the causality among variables with inherent uncertainty.Using the case of Istanbul, weemploy theBBN as a decision support tool for policy makers to analyzethe rapid rail transit services and determinepoliciesfor improving the quality and the level of serviceto increase the satisfaction with transit system.In the case study, satisfaction with accessibility and access mode variables are found to be more effective variables than total travel time for travel time satisfaction, confirming the significant role of access in multimodal travels.
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