{'fraction_non_alphanumeric': 0.01774622892635315, 'fraction_numerical': 0.0, 'mean_word_length': 5.714285714285714, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Evolutionary diffusion theory and the exdoc community: greater explanatory power for e-commerce diffusion?

Improved understanding of the innovative technology uptake (ITU) problem is important for the further development of e-commerce and its integration into mainstream business activities. The discovery of a more effective explanatory theory thus presents exciting possibilities for improved understanding of issues affecting acceptance levels of new technologies in this area. This paper pioneers the application of Evolutionary Diffusion Theory (EDT) within an Information Systems context. The set of axioms the authors have derived from the literature of EDT is used to review the implementation of EXDOC, an online document delivery system introduced by the Australian Quarantine Inspection Service (AQIS) to food exporters and successfully diffused across a number of industry sectors. The authors’ application of these EDT axioms to the EXDOC case study data demonstrates the theory’s explanatory depth for reviewing uptake of innovative technology – both as an instituted process and as a socially-embedded activity.