RESUMEN
The COVID-19 pandemic forced most individuals to work from home. Simultaneously, there has been an uptake of digital platform use for personal purposes. The excessive use of technology for both work and personal activities may cause technostress. Despite the growing interest in technostress, there is a paucity of research on the effects of work and personal technology use in tandem, particularly during a crisis such as the COVID-19 pandemic. Using a sample of 306 employees, this paper addresses this research gap. The findings highlight how both work and personal digital platforms induce technostress during the enforced remote work period, which in turn increases psychological strains such as technology exhaustion and decreases subjective wellbeing. Study results also show that employees with previous remote working experience could better negotiate technostress, whereas those with high resilience experience decreased wellbeing in the presence of technostress-induced technology exhaustion in the enforced remote work context.
RESUMEN
Although innovation from analytics is surging in the manufacturing sector, the understanding of the data-driven innovation (DDI) process remains a challenge. Drawing on a systematic literature review, thematic analysis and qualitative interview findings, this study presents a seven-step process to understand DDI in the context of the UK manufacturing sector. The findings discuss the significance of critical seven-step in DDI, ranging from conceptualisation to commercialisation of innovative data products. The results reveal that the steps in DDI are sequential, but they are all interlinked. The proposed seven-step DDI process with solid evidence from the UK manufacturing and research implications based on dynamic capability theory, institutional theory and TOE framework establish the building blocks for future studies and industry practice.