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The overload effects associated with the use of mobile information and communication technologies (MICTs) in the workplace have become increasingly prevalent. The purpose of this paper is to examine the overload effects of using MICTs at work on employees’ job satisfaction, and explore the corresponding coping strategies.

The study is grounded on the cognitive load theory and the coping model of user adaptation. The overload antecedents and coping strategies are integrated into one model. Theoretical hypotheses are tested with survey data collected from a sample of 178 employees at work in China.

The results indicate that information overload significantly reduces job satisfaction, while the influence of interruption overload on job satisfaction is not significant. Two coping strategies (information processing timeliness and job control assistant support) can significantly improve job satisfaction. Information processing timeliness significantly moderates the relationships between two types of overload effects and job satisfaction. Job control assistant support also significantly moderates the relationship between interruption overload and job satisfaction.

This study suggests that information overload and interruption overload could constitute an important index to indicate employees’ overload level when using MICTs at work. The two coping strategies provide managers with effective ways to improve employees’ job satisfaction. By taking advantage of the moderation effects of coping strategies, managers could lower employees’ evaluation of overload to an appropriate level.

This study provides a comprehensive model to examine how the overload resulting from using MICTs in the workplace affects employees’ work status, and how to cope with it. Two types of overload are conceptualized and corresponding coping strategies are identified. The measurements of principal constructs are developed and empirically validated. The results provide theoretical and practical insights on human resource management and human–computer interaction.

In dynamic environments, employees should respond to changing demands carrying out actions to achieve proper knowledge of the information systems (IS) that they use (individual adaptation). However, few studies have investigated the determinants of this behaviour. This study proposes and empirically evaluates a cognitive-attitudinal model grounded in migration theory, which considers push, pull and mooring factors.

Data collected from ERP users were analysed using partial least squares.

Coherent with migration theory, the results show that the individual adapts influenced by push factors (dissatisfaction with their current command of the IS), pull factors (expected benefits from improving their command) and mooring factors (attitude to the adaptation process). Also, inertia and cost of adaption impact on attitude.

This study introduces migration theory to the IS literature as a basis for comprehensively explaining adaptation in organisational settings.

The results suggest that management should: exhibit the instrumental benefits of a solid command of the IS; show the current gap in employee knowledge to revert it and, introduce changes to move employees out of their comfort zone to encourage ongoing learning and reduce resistance.

While previous studies have focused on the implementation stage and the emotional factors to explain adaptation, this study intends to bridge this gap by investigating cognitive-attitudinal factors that trigger the intention to adapt in the post-adoption stage. The findings of this study are useful to researchers in adaptation behaviour, and to managers to promote IS learning for their staff.

The purpose of this paper is to describe the Adaptation-Coping Model developed by Dröes in the Netherlands to frame the process of optimal adjustment for people diagnosed with dementia. This model is not well-known in English-speaking countries, but appears to have much to offer practitioners and researchers. As part of a large EU research project (MeetingDem) the authors translated and utilised this model in piloting the Dutch Meeting Centre Support Programme in the UK. This is a local community place-based approach to post-diagnostic psychosocial support. It is aimed at people diagnosed with dementia alongside their families and has proven benefits.

The Adaptation-Coping Model underpins the support provided by the Meeting Centre Programme. The model and its translation into the UK context are described. Focus groups were undertaken with people living with dementia (n=9) and family carers (n=6) at the UK Meeting Centre pilot. Examples from these focus groups are provided in order to illustrate different aspects of the model.

The translated Adaptation-Coping (adjusting to change) Model provides a way for service users (people with dementia and families) to conceptualise their journey with dementia post-diagnosis, and potentially provides service providers and researchers with aims for treatment and support.

These are initial observations based on a UK pilot service.

Ways of conceptualising psychosocial support for people living with dementia often do not get translated between countries. This model has been successfully utilised within the Netherlands for many years. This paper highlights the opportunity to build on this in English-speaking countries.

The use of information technology (IT) in the hospitality industry is driven by the need to improve and refine customer service. However, it is unlikely that new IT will be successfully implemented if employees' roles and emotions are overlooked. The purpose of this study is to examine the interplay of negative emotions (anger and fear), coping strategies (venting anger and psychological distancing), perceptions of an IT innovation and intention toward adopting it.

A research model is developed based on the cognitive appraisal theory of emotion, coping theory and innovation diffusion theory. An online survey was conducted among employees working for hotels that had deployed a new reservation system, and 234 responses were collected.

The results indicate that employees' negative emotions (anger and fear) have negative and significant effects on their perceptions of adopting a new reservation system through coping strategies (i.e. venting anger and psychological distancing). Furthermore, employees' perceptions of adopting an innovative reservation system have a positive effect on their adoption intention toward the system.

To the best of our knowledge, this is the first research to address the impact of distinct emotions on IT innovation adoption, as well as explaining the relation between affective and cognitive effects. The findings demonstrate the importance of examining negative emotions in IT innovation adoption. In addition, the model developed in this study confirms that an appraisal tendency approach better specifies the conditions under which different emotions are triggered to predict and explain how emotions relate to IT use through adaptation behaviors when compared with a valence-based approach.

To cope with the COVID-19 pandemic, contact tracing mobile apps (CTMAs) have been developed to trace contact among infected individuals and alert people at risk of infection. To disrupt virus transmission until the majority of the population has been vaccinated, achieving the herd immunity threshold, CTMA continuance usage is essential in managing the COVID-19 pandemic. This study seeks to examine what motivates individuals to continue using CTMAs.

Following the coping theory, this study proposes a research model to examine CTMA continuance usage, conceptualizing opportunity appraisals (perceived usefulness and perceived distress relief), threat appraisals (privacy concerns) and secondary appraisals (perceived response efficacy) as the predictors of individuals' CTMA continuance usage during the pandemic. In the United States, an online survey was administered to 551 respondents.

The results revealed that perceived usefulness and response efficacy motivate CTMA continuance usage, while privacy concerns do not.

This study enriches the understanding of CTMA continuance usage during a public health crisis, and it offers practical recommendations for authorities.

The Service User Network (SUN) follows the ethos of the therapeutic community and draws upon coping theory and psychoanalytic understanding of personality disorder to provide a supportive group-based resource to adults struggling to cope. The paper aims to discuss this issue.

The original SUN Project has been successfully replicated, with the further addition and integration of psychoanalytically – derived approaches to the treatment of personality disorder within that replication. The most notable theoretical additions come from the mentalization-based therapy model and the Independent School of Psychoanalysis. In this paper, the author expands the original description of the model to include these theoretical additions, together with a fuller account of the original tenets of the treatment paradigm than previously described.

This provides an outline of a network-based therapy (NETBT) as a first stage in manualizing the model, as well as extending its use to support adolescents.

Network-based therapy is a new, evolving group treatment for adolescents and adults struggling to cope.

Rural‐urban migration continues to grow in many developing countries including Vietnam. The experience of stress and coping associated with this process may vary for people from different circumstances. However, there has been little research on migrants to date. This study adopts a qualitative approach to research on unregistered, male, migrant freelance labourers in urban Vietnam and to explore factors contributing to stress and coping among this population. The study revealed an array of stressors related to migrants' life experiences in urban space, including physical, financial and social factors. Coping was diverse, including problem‐focused coping (PFC) and emotion‐focused coping (EFC), pro‐social and anti‐social, active and passive. Less active and anti‐social coping appeared common. Together, weak social network and lack of support from formal systems placed coping and adaptation in a cyclic relationship. The results highlight a multi‐disciplinary approach to help cope and adapt effectively for these men.

Imitation learning is a powerful tool for planning the trajectory of robotic end-effectors in Cartesian space. Present methods can adapt the trajectory to the obstacle; however, the solutions may not always satisfy users, whereas it is hard for a nonexpert user to teach the robot to avoid obstacles in time as he/she wishes through demonstrations. This paper aims to address the above problem by proposing an approach that combines human supervision with the kernelized movement primitives (KMP) model.

This approach first extracts the reference database used to train KMP from demonstrations by using Gaussian mixture model and Gaussian mixture regression. Subsequently, KMP is used to modulate the trajectory of robotic end-effectors in real time based on feedback from its interaction with humans to avoid obstacles, which benefits from a novel reference database update strategy. The user can test different obstacle avoidance trajectories in the current task until a satisfactory solution is found.

Experiments performed with the KUKA cobot for obstacle avoidance show that this approach can adapt the trajectories of the robotic end-effector to the user’s wishes in real time, including trajectories that the robot has already passed and has not yet passed. Simulation comparisons also show that it exhibits better performance than KMP with the original reference database update strategy.

An interactive learning approach based on KMP is proposed and verified, which not only enables users to plan the trajectory of robotic end-effectors for obstacle avoidance more conveniently and efficiently but also provides an effective idea for accomplishing interactive learning tasks under constraints.

Ubiquitous web applications (UWA) are a new type of web applications which are accessed in various contexts, i.e. through different devices, by users with various interests, at anytime from anyplace around the globe. For such full‐fledged, complex software systems, a methodologically sound engineering approach in terms of model‐driven engineering (MDE) is crucial. Several modeling approaches have already been proposed that capture the ubiquitous nature of web applications, each of them having different origins, pursuing different goals and providing a pantheon of concepts. This paper aims to give an in‐depth comparison of seven modeling approaches supporting the development of UWAs.

This methodology is conducted by applying a detailed set of evaluation criteria and by demonstrating its applicability on basis of an exemplary tourism web application. In particular, five commonly found ubiquitous scenarios are investigated, thus providing initial insight into the modeling concepts of each approach as well as to facilitate their comparability.

The results gained indicate that many modeling approaches lack a proper MDE foundation in terms of meta‐models and tool support. The proposed modeling mechanisms for ubiquity are often limited, since they neither cover all relevant context factors in an explicit, self‐contained, and extensible way, nor allow for a wide spectrum of extensible adaptation operations. The provided modeling concepts frequently do not allow dealing with all different parts of a web application in terms of its content, hypertext, and presentation levels as well as their structural and behavioral features. Finally, current modeling approaches do not reflect the crosscutting nature of ubiquity but rather intermingle context and adaptation issues with the core parts of a web application, thus hampering maintainability and extensibility.

Different from other surveys in the area of modeling web applications, this paper specifically considers modeling concepts for their ubiquitous nature, together with an investigation of available support for MDD in a comprehensive way, using a well‐defined as well as fine‐grained catalogue of more than 30 evaluation criteria.