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The purpose of this paper is to investigate whether young people’s peer networks can be an asset in finding employment during the transition from school to work. It examines whether peer networks size and peers’ self-efficacy regarding their own job search are associated with job seekers’ career-relevant behaviors and outcomes, i.e., the number of applications completed and the number of job offers received.

Associations between job seekers’ peer networks and their job search behaviors and outcomes were investigated during their final year of vocational training. Sociometric measures were used to assess young people’s peer network size. Sociometric and self-report measures were used to establish the characteristics of the peers that comprise each job seekers’ network, resulting in the overall self-efficacy across each job seekers’ network.

The results show that peers’ efficacy beliefs are positively associated with young people’s engagement in job search activities (i.e. a greater number of applications completed) and indirectly associated with their job search outcomes (i.e. a greater number of job offers, which are mediated by the number of applications) that are independent of the peer network size.

The results underline that although peers might not provide instrumental support, encouraging interactions with (efficacious) peers may nonetheless be beneficial to young job seekers. Methodologically, the results demonstrate that the operationalization of self-efficacy as a network characteristic might provide us with valuable insights into the characteristics that turn social networks into beneficial social resources.

The purpose of this paper is to explore the processing of product returns at five case companies using a complex adaptive systems (CAS) logic to identify agent interactions, organization, schema, learning and the emergence of adaptations in the reverse supply chain.

Using a multiple-case study design, this research applies abductive reasoning to examine data from in-depth, semi-structured interviews and direct researcher observations collected during site visits at case companies.

Costly or high-risk returns may require agents to specialize the depth of their mental schema. Processing agents need freedom to interact, self-organize and learn from other agents to generate emergent ideas and adapt.

Limiting the depth of individual agent schema allows managers to better allocate labor to processing product returns during peak volume. To boost adaptability, managers need to craft a dynamic environment that encourages agents with diverse schema to interact, anticipate, and self-organize to brainstorm new ideas. Managers need to resist the urge to “control” the dynamic environment that ensues.

This paper builds on existing research that studies the key decision points in the analysis of product returns by exploring how processing-agent behaviors can create adaptability in the reverse supply chain. Additionally, this research follows in the tradition of Choi et al. (2001) and Surana et al. (2005) and proposes the application of CAS to a specific part of the supply chain – the processing of product returns.