Management
Simon Githae
Abstract
One of the areas of focus recently has been the potential of mobile apps services as a solution to overcome low levels of infrastructure development, that hinder full exploitation of business opportunities in developing countries like Kenya. It was with this in view that the primary objective of this ...
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One of the areas of focus recently has been the potential of mobile apps services as a solution to overcome low levels of infrastructure development, that hinder full exploitation of business opportunities in developing countries like Kenya. It was with this in view that the primary objective of this study was to investigate the effect of mobile distribution applications services on sales of fast-moving consumer goods produced and sold by PZ Cussons. Specifically, this study sought: to determine the influence of mobile apps memory support services on sales of fast-moving consumer goods; The study employed a census sampling method. The target population was small enough to conduct a census survey of 80 employees at PZ Cussons East Africa using questionnaires as the primary data collection tool. Cronbach’s alpha coefficient was adopted to ascertain for reliability that was obtained through split-half technique. Quantitative data used simple linear regression to test the strength of the relationship between the variables based on observed data and to predict the value of the dependent variable based on the independent variable. The study concluded that memory support services by mobile app services influences sales of fast-moving consumer goods, The research recommended the need for adequately adoption of technology driven business intelligent services to predict consumer preferences to enhance sales of fast-moving consumer goods.
Management
Nasim Bagheripour Salamat; Maryam Pournasir Roudbaneh
Abstract
The main purpose of this research is to identify the concerns of Digikala's online customers during Corona Crisis, which has been discussed and shared among Twitter users. This study collects hashtag-based tweets related to digital goods that cover the 2020 period. To analyze the tweets, text analytical ...
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The main purpose of this research is to identify the concerns of Digikala's online customers during Corona Crisis, which has been discussed and shared among Twitter users. This study collects hashtag-based tweets related to digital goods that cover the 2020 period. To analyze the tweets, text analytical methods such as thematic modeling, emotion analysis, and word clouds are used. In this way, the most important topics discussed on Twitter have been discovered, then customer dissatisfaction has been determined. Afterward, the obtained results were compared with previous in the field of online retail services. Further, noticed that the trend of unforeseen trending hashtags related to digital goods in the last year, which identifies other factors that users are discussing. This study gives us an insight into how the brand operates in the Covid-19 crisis. Analysis of this information can be used to improve online retail services and access to customer needs.