PurposeThe purpose of this paper is to unearth various dimensions of employee experience (EX) and explore how pandemic impacted various EX factors using online employee reviews. The authors identify employee-discussed EX-factors and quantify the associated sentiments and importance.Design/methodology/approachThis paper employs Latent Dirichlet Allocation on the online employee reviews to identify the key EX-factors. The authors probe sentiments and importance associated with key EX-factors using sentiment analysis, importance analysis, regression analysis and dominance analysis.FindingsThe result of topic modeling identifies 20 EX-factors that shape overall EX. While skill development plays a major role in shaping overall EX, employees perceived Salary and Growth as the most important EX-factor and expressed negative sentiments during the pandemic. Employee sentiments significantly influence overall EX.Practical implicationsWhen employees have extensive change experience, managers should consider various facets of EX to manage the smooth change and deliver a better EX. This research offers key EX-factors to be considered by managers while dealing with employees. Online employee reviews websites are recommended to include the identified key EX-factors to comprehend the holistic EX.Originality/valueThis study contributes to the growing literature on the employee experience as a concept by identifying various EX-factors. The authors expand the extant EX scales by identifying an inclusive and updated set of EX-factors.

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This study performed a meta-analysis of forty-eight studies to synthesize existing literature examining the relationship between ‘Big Five’ personality traits and the use of various Information and Communication Technologies (ICTs). We conducted sub-group analysis to investigate the potential moderators on the relationship between personality and ICT use. The results largely reveal that the ‘Big Five’ personality traits are significantly associated with the use of various ICTs. Specifically, ‘extroversion’ showed the strongest association with social networking, along with business and commerce-based ICTs, while ‘openness’ had the highest correlations with career and education, and information-based ICTs. The results also identified technology type, region of the country, and voluntariness as potential moderators. This paper offers theoretical and practical implications that researchers could embrace in enhancing understanding of traits-technology fit, and technology providers in improving crafting, marketing, and delivering technology at the individual, organizational, national, and global levels.