Downloads provided by UsageCounts
{"references": ["1.\tHTTP Archive (2019). Reports. Retrieved from: https://httparchive.org/reports [in English].", "2.\tLighthouse (2019). Tools for Web Developers. Retrieved from: https://developers.google.com/web/tools/lighthouse/ [in English].", "3.\tNatorina, A. (2019). Online retailers' innovation activity: digital age. Espacios, 5 (35). 25-32. Retrieved from: https://www.revistaespacios.com/a19v40n35/19403525.html [in English].", "4.\tNatorina, A. (2019). The adaptive management system of marketing commodity policy. Baltic Journal of Economic Studies, 5, 1, 131-136. DOI: https://doi.org/10.30525/2256-0742/2019-5-1-131-136 [in English].", "5.\tNguyen, D., Leeuw, S., & Dullaert, W. (2018). Consumer Behaviour and Order Fulfilment in Online Retailing: A Systematic Review. International Journal of Management Reviews, 20, 255-276. DOI: https://doi.org/10.1111/ijmr.12129", "6.\tNwaiwu, F. (2018). Review and Comparison of Conceptual Frameworks on Digital Business Transformation. Journal of Competitiveness, 10 (3), 86-100. DOI: https://doi.org/10.7441/joc.2018.03.06", "7.\tPage Speed Insights (2019). Home. Retrieved from: https://developers.google.com/speed/pagespeed/insights/ [in English].", "8.\tRetail Systems Research (2019). Research. Retrieved from: https://www.rsrresearch.com/research [in English].", "9.\tVakulenko, Yu., Shams, P., Hellstrom, D., & Hjort, K. (2019). Online retail experience and customer satisfaction: the mediating role of last mile delivery. The International Review of Retail, Distribution and Consumer Research, 29, 6th Nordic Retail and Wholesale Conference, 306-320. DOI: https://doi.org/10.1080/09593969.2019.1598466 [in English].", "10.\tThe Ukrainian Retail Association (2019). Analytics. Retrieved from: https://rau.ua/en/analytics/ [in Ukrainian]."]}
In the article, the priority importance of the proactive monolithic decision-making mechanism implementing for the simultaneous development of offline and digital business of retailers is reasonably proved. The analytical and synthetic tools for optimizing the retailers’ online activity as a component of the mechanism are proposed. Implementation of the tools will play a key role in the modern realities of market trends changes and the external environment bifurcations. The gradation-conversion shift matrix is developed and tested. It determines the set of relevant events in the discrete and continuum stages of the retailers’ digital business development. The system of relevant measures for increasing the efficiency of online retailers functioning through step-by-step implementation is developed and interpreted taking into account the stages of the digital business development.
digital business, gradation-conversion shift matrix, online store metrics, online retail, proactive monolithic decision-making mechanism
digital business, gradation-conversion shift matrix, online store metrics, online retail, proactive monolithic decision-making mechanism
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 47 | |
| downloads | 16 |

Views provided by UsageCounts
Downloads provided by UsageCounts