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.
Management
Nurhizam Safie Mohd Satar; Omkar Dastane; Azizan H Morshidi
Abstract
An ample of studies have recently been conducted to explore and analyze the predictors of students’ e-learning satisfaction (ELS) during the COVID 19 pandemic lockdown. However, research is scarce on investigating mediating roles of key aspects, such as students’ learning stress (SLS) and ...
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An ample of studies have recently been conducted to explore and analyze the predictors of students’ e-learning satisfaction (ELS) during the COVID 19 pandemic lockdown. However, research is scarce on investigating mediating roles of key aspects, such as students’ learning stress (SLS) and students’ willingness to learn (SWL). This research intends to investigate mediating effect of SLS and SWL in relationships among selected IT characteristics factors and ELS during lockdown enforced to curb the COVID 19 pandemic. Selected factors of IT characteristics are IT complexity, IT pace change and IT presenteeism. The data was collected through online questionnaire survey on 470 students in Malaysia selected by employing the convenience sampling during the Movement Control Order period when universities and colleges shifted to online learning platforms. The data was then subjected purification, assessment of normality and reliability. Thereafter, confirmatory factor analysis and validity assessment were conducted. Finally, hypotheses were tested by formulating structural equation model using IBM SPSS AMOS 24.0. The mediation effects were tested by developing parallel mediation structural model. The findings show that SLS fully mediates relationship between IT pace change and ELS. Students’ willingness to study fully mediates relationships between IT presenteeism and IT pace change with ELS.