Literature on Online Grocery Shopping Adoption

This study uses a systematic analysis of the available corpus on OGS adoption literature published between 2000 and 2020. The scope of this article was to identify the relevant topics and research streams in the domain of OGS adoption research from a consumer perspective. Data was collected using the search phrase “online grocery shopping adoption” – separated via AND operators (where applicable) – from the following databases: Google Scholar (998 entries), Science Direct (534), Crossref (200), Scopus (30) and Web of Science (16). Harzings Publish or Perish software (Harzing 2007) aided in the data collection and enabled a high level of data consistency in the raw data material, initially consisting of a total of n = 1,778 data entries.
The created data-set underwent a series of specific adjustments along a four-stage selection process (as outlined in figure 2). Besides the (rather technical) procedures in the first selection step, the process was conducted by two researchers independently, differing classifications were discussed and resolved. For the selection process, the current iteration of Microsoft Excel was used. The adjustment procedure followed these stages:

First, a number of technical reductions was performed by removing duplicates (-58), non-English literature (-5), non-journal documents like book chapters and undergraduate theses (- 26) and corrupted data entries (-171; e.g. empty data fields).
Next, the remaining articles were screened for suitability on the scope of this article based on their title and keywords. A large proportion of data entries was removed due to either being focussed on a supply-side perspective or focussing on the overall topics of adoption and online shopping without any (online) food-related context.
The data-set was further trimmed down upon inspection of the abstract. Other literature reviews (-6, incl. the two OGS-related reviews presented in an earlier section) were removed from the data set at this point.
All papers that reached this selection step were eligible for analysis including reference search to determine the degree of concept exhaustion in our data-set. Reference search revealed an additional twelve articles.
Thus, the final data-set consisted of a total of n = 103 unique articles on online grocery shopping adoption that were included in the bibliometric analysis of this article.