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Abstract Several hypotheses are derived that relate social networks to the occupational prestige attainment process. These hypotheses are evaluated using theoretically derived indicators and ordinary least squares regression. Most of the hypotheses considered in this paper do not receive support, and the one hypothesis that does lacks a consistent theoretical explanation. From this analysis, I draw two important conclusions: First, the relationship between the prestige of a social network contact and prestige attainment may be empirically strong, but the theoretical explanation linking them lacks consistency. Secondly, empirical work performed to test social network theories should no longer focus on dyadic‐data alone. The broader implications of these conclusions for future research are considered.

Abstract The social network metaphor is widely used by sociologists to study socioeconomic behavior and processes The use of social networks generally takes place within the ranks of sociology However, a more complete social science would result by combining work being done on social networks within sociology with mainline economic theory The insights from such a research agenda will help us better understand socioeconomic behavior With this in mind, the main objective of this paper is to demonstrate the utility of the network metaphor to economists This objective will be accomplished through developing four basic components of social networks, and using them to navigate through the existing literature in economic sociology Furthermore, topics for future research in which social networks can provide contributions to the explanation of socioeconomic behavior are explored as well

PurposeThe purpose of this paper is to explore how success emerges in a business process change initiative, given the often conflicting forces and challenges present in a workflow implementation. A detailed reflective analysis provides an opportunity to explore how different process enablers interact to achieve non‐obvious outcomes.Design/methodology/approachData collection entailed semi‐structured interviews, observation of project activities, and analysis of project documentation for a workflow project at a public sector organisation (AustGov). Data collection occurred from project initiation to implementation and is analysed utilizing the process enterprise maturity model.FindingsDespite encountering numerous issues, the process workflow went live as planned; the project was a success. The case demonstrates how project drivers interact in context to provide a coherent explanation of project outcomes. That the project did not fail, despite encountering obstacles and challenges, is attributed to the maturity of critical process enablers within the portfolio.Research limitations/implicationsThe AustGov case study provides an exemplar of how and why interrelationships between process enablers and project context matter. The case analysis provides a rich study of a workflow project, and demonstrates the suitability of the process audit framework to explain outcomes of business process change projects.Practical implicationsThe findings demonstrate the importance of managing interdependencies and competing priorities between process enablers to successfully implement business process change.Originality/valueThe case provides a rich example of the implementation of business process change using workflow software. The authors find that achieving successful outcomes in a challenging environment is best understood when viewed from the perspective of the maturity of a portfolio of project enablers; also, that attention needs to be paid to developing advanced maturity in those enablers most closely related to the specific challenges evident in the project context.

Big data analytics uses algorithms for decision-making and targeting of customers. These algorithms process large-scale data sets and create efficiencies in the decision-making process for organizations but are often incomprehensible to customers and inherently opaque in nature. Recent European Union regulations require that organizations communicate meaningful information to customers on the use of algorithms and the reasons behind decisions made about them. In this paper, we explore the use of explanations in big data analytics services. We rely on discourse ethics to argue that explanations can facilitate a balanced communication between organizations and customers, leading to transparency and trust for customers as well as customer engagement and reduced reputation risks for organizations. We conclude the paper by proposing future empirical research directions.

Abstract.  This article examines two mechanisms through which social networks are related to job mobility: (1) access to diverse sources of information about job openings and (2) nonredundant sources of influence. Using data on job changing and social networks among television station managers, we assess the extent to which job information and influence variables mediate the relationship between social network structure and getting a better job. Results indicate that there is an association between job mobility and having nonredundant contacts, but our measures of the information and influence mechanisms are not significant mediators. We conclude by reexamining the network‐resource model that forms the basis for much of the research on the relationship between social networks and job mobility.

PurposeThe purpose of this paper is to provide a frank reflection on the authors' journey in applying social theory to understand the routine use of a transaction‐processing system in a rich field context.Design/methodology/approachInspired by a perplexing initial observation, the program of research moved quickly from one of more traditional positivist methods (experiments and surveys) to case study research. The case study involved observation and comparative analysis of the routine use of a reservation system across a large franchised accommodation chain.FindingsAs a reflective essay, the key findings relate to the research process itself. The essence of the findings is that applying social theory is itself a social process.Originality/valueThe paper finds that insight can come from understanding the routine use of IT as a social artefact, not just from studying crises or latest innovations.

The privately insured are assuming a greater share of the costs of their health care, yet little is known about changes in out-of-pocket spending at the state level. The central problem is that national surveys with the relevant data are not designed to generate state-level estimates. The study addresses this shortcoming by using a two-sample modeling approach to estimate state-level measures of out-of-pocket spending relative to income for privately insured adults and children. National data from the Medical Expenditure Panel Survey—Household Component and state representative data from the from the Current Population Survey are used. Variation in out-of-pocket spending over time and across states is shown, highlighting concern about the adequacy of coverage for 2.9% of privately insured children and 7.8% of privately insured adults. Out-of-pocket spending relative to income is an important indicator of access to care and should be monitored at the state level.