THE INEFFICIENCY OF WORKER TIME USE

Much work is carried out in short, interrupted segments. This phenomenon, which we label task juggling, has been overlooked by economists. We study the work schedules of some judges in Italy documenting that they do juggle tasks and that juggling causally lowers their productivity substantially. To measure the size of this effect, we show that although all these judges receive the same workload, those who juggle more trials at once instead of working sequentially on few of them at each unit of time, take longer to complete their portfolios of cases. Task juggling seems to have no adverse effect on the quality of the judges' decisions, as measured by the percent of decisions appealed. To identify these causal effects we estimate models with judge fixed effects and we exploit the lottery assigning cases to judges. We discuss whether task juggling can be viewed as inefficient, and provide a back‐of‐the‐envelope calculation of the social cost of longer trials due to task juggling.     

Formation and Constitution of Effectual Networks: A Systematic Review and Synthesis

The co‐creational processes of effectuation represent an important development in understanding of entrepreneurial action. They also manifest in networks that are themselves important artefactual outcomes of effectual processes. To synthesize research connecting effectuation to the networks involved, this paper offers a systematic literature review. Following recent theorizing, the authors organize the literature around two general themes: (1) why and how network development occurs; and (2) what network develops. The resultant thematic model offers a comprehensive perspective on network development under effectuation logic. The analysis identifies that understanding of effectual networking and effectual networks is fragmented, incomplete and constrained by a lack of construct and contextual clarity. The authors present alternative perspectives on constructs and assumptions surrounding networks in effectuation, integrate network theory into effectuation, and generate important trajectories for future research.