Understanding platform business models: A mixed methods study of marketplaces

Recent technological advances have enabled the emergence of novel business models based on digital platforms. Marketplace like Airbnb or Uber offer such digital platforms to connect previously unmatched demand-side and supply-side participants through innovative forms of value creation, delivery and capture. While countless firms claim to offer the next ‘Airbnb for X’ or ‘Uber for Y’, we lack knowledge about the defining business model characteristics of these marketplaces. To close the gap, this paper provides a conceptually and empirically grounded taxonomy of their business models. Applying a mixed methods approach, it first develops an integrative framework of marketplace business models. Guided by the framework, the research systematically analyzes 100 randomly selected marketplaces with content analysis and binary coding. The gathered data is analyzed with cluster analysis techniques to develop a taxonomy for marketplace business models. The clustering process reveals six clearly distinguishable types of marketplace business models and thus shows that there is no one-size-fits-all approach to creating, delivering, and capturing value with marketplaces and platforms in general. We characterize these distinctive types on basis of the qualitative and quantitative findings. Among others, we find that two of these types are highly aligned with business model characteristics associated with the so-called sharing economy. The findings are discussed against platform, marketplace, and sharing economy literature to contribute to a higher integration of different literature streams that are concerned with similar organizational types and phenomena.     

Beyond demand and control: The contribution of organizational risk factors in assessing the psychological well-being of health care employees

Abstract

The job demand–control(–support) model is frequently used as a theoretical framework in studies on determinants of psychological well-being. Consequently, these studies are confined to the impact of job characteristics on worker outcomes. In the present study the relation between work conditions and outcomes (job satisfaction, emotional exhaustion, psychological distress, and somatic complaints) is examined from a broader organizational perspective. This paper reports on an analysis that examines both the unique and the additional contribution of organizational characteristics to well-being indicators, beyond those attributed to job characteristics. A total of 706 care staff from three public residential institutions for people with mental or physical disabilities in the Netherlands took part in this research. To assess organizational risk factors a measurement instrument was developed, the organizational Risk Factors Questionnaire (ORFQ), based on the safety-critical factors of the Tripod accident causation model. Factor analyses and reliability testing resulted in a 52-item scale consisting of six reliable sub-scales: staffing resources, communication, social hindrance, training opportunities, job skills, and material resources. These organizational risk factors explained important parts of the variance in each of the outcome measures, beyond that accounted for by demographic variables and job demand–control–support (JDCS) measures. Communication and training opportunities were of central importance to carers’ job satisfaction. Social hindrance, job skills, and material resources explained a substantial amount of unique variance on the negative outcomes investigated.