How do technology-driven stressors influence workarounds? Moderating roles of support structures and trait resilience

Tang, Xiaofan; Wei, Shaobo; Chen, Xiayu

doi:10.1016/j.ijinfomgt.2023.102718

Cited by 8 publications

(2 citation statements)

References 79 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These individuals are less flexible in mobilizing resources to meet customer demands in the changing environment (Masten et al, 2009); thus, they lack control over their jobs. Similarly, Tang et al (2024) reported that individuals' resilience mitigated the hazardous effects of technology-driven stressors. These findings suggest that FSEs with low resilience exhibit poor coping capabilities under technology-related demands.…”

Section: Moderating Role Of Self-efficacy and Resiliencementioning

confidence: 99%

Service employees’ STARA awareness and proactive service performance

Hur,

Shin

2024

JSM

View full text Add to dashboard Cite

Purpose This study aims to explore the role of frontline service employees’ (FSEs) awareness that their job can be substituted by smart technology, artificial intelligence, robotics and algorithms (STARA) in their job autonomy and proactive service performance and when these relationships can be buffered. Drawing on the cognitive appraisal theory of stress, the study examined the mediating relationship between FSEs’ STARA awareness, job autonomy and proactive service performance and the moderating effects of self-efficacy and resilience on this relationship. Design/methodology/approach The authors administered two-wave online surveys to 301 South Korean FSEs working in various service sectors (e.g. retailing, food/beverage, hospitality/tourism and banking). The Time 1 survey measured respondents’ STARA awareness, self-efficacy, resilience and job autonomy, and the Time 2 survey assessed their proactive service performance. Findings FSEs’ STARA awareness negatively affected their subsequent proactive service performance through decreased job autonomy. The negative association between STARA awareness and job autonomy was weaker when FSEs’ self-efficacy was high than when it was low. While the authors observed no significant moderation of resilience, the author found a marginally significant three-way interaction between STARA awareness, self-efficacy and resilience. Specifically, STARA awareness was negatively related to job autonomy only when both self-efficacy and resilience were low. When either self-efficacy or resilience was high, the association between STARA awareness and job autonomy became nonsignificant, suggesting the buffering roles of the two personal resources. Research limitations/implications Given that the measurement of variables relied on self-reported data, rater biases might have affected the findings of the study. Moreover, the simultaneous measurement of STARA awareness, self-efficacy, resilience and job autonomy could preclude causal inferences between these variables. The authors encourage future studies to use a more rigorous methodology to reduce rater biases and establish stronger causality between the variables. Practical implications Service firms can decrease FSEs’ STARA awareness through training in the knowledge and skills necessary to work with these technologies. To promote FSEs’ proactive service performance in this context, service firms need to involve them in decisions related to STARA adoption and allow them to craft their jobs. Service managers should provide FSEs with social support and exercise empowering and supportive leadership to help them view STARA as a challenge rather than a threat. Originality/value Distinct from prior research on STARA awareness and employee outcomes, the study identified proactive service performance as a key outcome in the STARA context. By presenting self-efficacy and resilience as crucial personal resources that buffer FSEs from the deleterious impact of STARA awareness, the study provides practitioners with insights that can help FSEs maintain their job autonomy and proactive service performance in times of digitalization and automation.

show abstract

Section: Moderating Role Of Self-efficacy and Resiliencementioning

confidence: 99%

Service employees’ STARA awareness and proactive service performance

Hur,

Shin

2024

JSM

View full text Add to dashboard Cite

show abstract

“…A study by Takyi and Zhang suggests that the reluctance to invest in digitalization stems from a complex mix of factors, including cost concerns, uncertainty about the return on investment, and the need for extensive staff retraining [85]. Additionally, the findings in the literature highlight that the top-down approach to technological adoption in larger construction firms often encounters resistance due to the perceived disruption it may cause to established workflows [86].…”

Section: Current Challengesmentioning

confidence: 99%

Navigating the Adoption of 5D Building Information Modeling: Insights from Norway

Hosamo,

Rolfsen,

Zeka

et al. 2024

Infrastructures

View full text Add to dashboard Cite

Exploring the integration of 5D Building Information Modeling (BIM) within the Norwegian construction sector, this study examines its transformative impact on cost estimation and project management, highlighting technological and skill-based adoption challenges. Through methodical case studies and interviews with industry experts, it is revealed that 5D BIM significantly enhances the precision of cost estimations and effectively reduces financial overruns in complex construction projects, indicating an industry shift towards its broader acceptance. The research sets out to explore current challenges and opportunities in 5D BIM, assess the usability and integration of software tools, and understand systemic barriers and skill gaps hindering further progress. These objectives lead to a detailed understanding of 5D BIM’s role in improving economic and procedural efficiencies in construction. Suggesting its pivotal role in the evolving construction management realm, the study contributes important insights into 5D BIM’s transformative potential and underscores its importance in advancing the construction industry’s digital transformation.

show abstract

Social media overload and proactive–reactive innovation behaviour: A TTSC framework perspective

Gao,

Zhao

2024

International Journal of Information Management

View full text Add to dashboard Cite

How do technology-driven stressors influence workarounds? Moderating roles of support structures and trait resilience

Cited by 8 publications

References 79 publications

Service employees’ STARA awareness and proactive service performance

Service employees’ STARA awareness and proactive service performance

Navigating the Adoption of 5D Building Information Modeling: Insights from Norway

Social media overload and proactive–reactive innovation behaviour: A TTSC framework perspective

Contact Info

Product

Resources

About