ISA Ralph Gomory Best Industry Studies Paper Award
The goal of the Award is to promote industry studies scholarship. Properly designed, the award also can encourage a cultural shift by scholars toward explicit recognition of their engagement with industry practitioners and demonstrate the benefits of such interaction for scholarly research. It is often the case that scholars benefit from interaction with industry practitioners in ways that shape the nature of the problems they address, the methodologies employed, and/or the interpretations of their findings. This kind of engagement is not always apparent in published journal articles. Awards for excellence in industry studies publications demonstrate the contribution of engagement with practitioners in advancing the frontiers of knowledge, and encourage more interaction at this important interface.
Winners and Runners-up are selected based on the following criteria:
- The paper's level of analysis can be individual, group, organizational, industry, or cross-industry, but it must explore and provide insight into issues of significance at the industry level of analysis.
- The paper must be based on field research, defined as "the systematic study of original data — qualitative or quantitative — gathered from real organizations." Original data may include: interviews, field experiments, quantitative data collected in the field, participant observation, or contextual understanding of an industry gained through long involvement with the industry.
- Even where there is evidence that the authors understand the workings of the industry in a grounded, contextualized way, it is essential that this understanding is also communicated explicitly to the reader, i.e. it must appear in the article and not solely reside in the author's head.
- Research using analytical modeling or statistical analysis of secondary datasets must address research questions that have been motivated by in-depth, firm- or industry-specific observations made by the authors.
- Authors must demonstrate a deep understanding of their research context through rich phenomenological descriptions,make extensive use of empirical data, and demonstrate methodological rigor.
To see previous winners click here.