Dispersion in Dispersion: Measuring Establishment-Level Differences in Productivity

We describe new experimental productivity dispersion statistics, Dispersion Statistics on Productivity (DiSP), jointly produced by the Bureau of Labor Statistics (BLS) and the Census Bureau, that complement the official BLS industry-level productivity statistics. The BLS has a long history of producing industry-level productivity statistics, which represent the average establishment-level productivity within industries when appropriately weighted. These statistics cannot, however, tell us about the variation in productivity levels across establishments within those industries. Dispersion in productivity across businesses can provide information about the nature of competition and frictions within sectors and the sources of rising wage inequality across businesses. DiSP data show enormous differences in productivity across establishments within industries in the manufacturing sector. We find substantial variation in dispersion across industries, increasing dispersion from 1997 to 2016, and countercyclical total factor productivity dispersion. We hope DiSP will enable further research into understanding productivity differences across industries and establishments and over time.     

Device-mediated customer behaviour on the internet: A systematic literature review

The proliferation of smartphones, tablets and other digital devices in addition to traditional computers has transformed the Internet into a device-mediated environment. While these devices provide immediate access to similar Internet sources, they differ significantly in their characteristics, such as screen size, operation mode and context of use. As a consequence, behaviours on the Internet along the customer journey vary substantially depending on the device used. To summarize the fast-growing body of research on device-mediated customer behaviour, a systematic, framework-based literature review of 59 articles from the last decade was conducted. Through an examination of the antecedents, decisions and outcomes investigated in the publications, the review presents a conceptual framework that highlights the relation between device characteristics, decision processes and behavioural outcomes. The review further summarizes the theories, contexts and methods employed in the studies and sets an extensive future research agenda. We found that the extant literature lacks comprehensive theories and clear definitions of digital devices in the omnichannel environment. Furthermore, existing findings should be generalized for other contexts (e.g. industries and countries) and validated via the introduction of other research designs and methods. The understanding of device-mediated behaviour and the consequently arising marketing measures remains scarce. Thus, this review advances the comprehension of customer behaviour on the Internet and provides researchers and practitioners with information on the implications for customer experience and omnichannel management.