COVID-19 and digitalization represent important sources of many employees’ frustrations. In this article, we address the question of how employees can achieve meaningful work in such a challenging and frustrating context. Specifically, we investigate whether employees’ negative experiences related to technology use—that is, techno-invasion—leads to frustration and in turn reduces employee perceptions of meaningful work. […]
Evasive knowledge hiding (EKH) is a behavioural phenomenon with important personal and organizational implications, whose intraindividual motivational antecedents and situational contingencies are still not sufficiently clarified. In this paper, we integrate mixed-motives and trait-activation theory to address EKH in low- and high-trust work relationships. The focus is on complex interactions of trait competitiveness and prosocial […]
This study examines the evolution of leader–member exchange (LMX) research. We apply bibliometrics to analyze the extant literature published from the beginning of the construct development, complementing existing qualitative and meta-analytic reviews of the LMX field. We use a combination of three bibliometric techniques—document co-citation analysis, co-word analysis, and bibliographic coupling. Our approach enables us […]
This study investigates how transformational leadership, through shared leadership, predicts followers’ information technology (IT) innovation adoption at work. We further examine how management innovation acts as an organizational-level enabler, enhancing the impact of leadership on followers’ IT innovation adoption. To test our hypotheses, we conducted a multi-source, multi-level field study of 5884 employees and 92 […]
We focus on dyadic interactions among supervisor- and employee-innovative work behavior (IWB) and how (in)congruence ([mis]fit) conditions relate to employee task performance. The logic of the person–supervisor (P–S) fit framework is used to explicate perceived supervisory performance ratings in the high-high fit and low-low fit situations, as well as designate the moderating effects of employee […]
This paper investigates the relationships between optimism, mindfulness, and task engagement. Specifically, we hypothesized that optimism, mindfulness, and their interaction would facilitate individuals’ task engagement. We tested our research model in four studies: two surveys among gig workers and two experiments. The results of the two surveys among gig workers indicated that optimism predicted higher […]
The development and maintenance of work relationships is the primary mechanism for effective socialization, yet emerging work relationships in early socialization are fragile. We hypothesize that their persistence is related to frequency of information-based support between newcomers and support providers and perceived responsiveness of support providers. We contrast this relational effect with a more established […]
Purpose The present study investigates whether individuals having a fixed digital mindset (comprises fundamental beliefs about technological ability and organizational resources as work becomes more digitalized) experience greater helplessness working in virtual teamwork environments. The authors examine how perceived internal human resource management (HRM) alignment moderates the positive relationship expected between individuals’ fixed digital mindset […]
Business process management (BPM) drives corporate success through effective and efficient processes. In recent decades, knowledge has been accumulated regarding the identification, discovery, analysis, design, implementation, and monitoring of business processes. This includes methods and tools for tackling various kinds of process change such as continuous process improvement, process reengineering, process innovation, and process drift. […]
Artificial Intelligence (AI) has been argued to offer a myriad of improvements in how we work and live. The notion of AI comprises a wide-ranging set of technologies that allow individuals and organizations to integrate and analyze data and use that insight to improve or automate decision-making. While most attention has been placed on the […]