Search results

Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental condition with community prevalence globally of 2%–7% (M = 5%; Sayal et al., 2018). Clinicians are routinely encouraged to explain to children and young people the benefits of a healthy lifestyle, including exercise (NICE NG87, 2018). Exercise has been proposed as a safe and low-cost adjunctive approach for ADHD and is reported to be accompanied by positive effects on several aspects of executive functioning (EF). The purpose of this narrative review was to synthesise the contemporary randomised control trial (RCT) studies that examine the effect of sport, physical activity and movement on EF in children and adolescents with ADHD.

A narrative review approach with a systematic literature search using PRISMA guidelines for screening and selecting relevant systematic reviews was used. The final review included four peer-review systematic reviews (>2019).

The results identified four RCT meta-analyses and findings showed that children and adolescents with lower baseline cognitive performance demonstrated greater improvements in functioning after physical activity interventions, particularly for tasks with higher executive function demands, where baseline performance reaches an optimal level. Findings suggest that 10–20 min of acute moderate-high-intensity exercise interventions (cycling/running) appeared to have positive effects on indices of inhibitory control. Preliminary evidence suggests that as little as 5 min of jumping exercises improved inhibitory control. Sixty to eighty minutes of moderately intense, repeated (chronic) exercise appeared to demonstrate the greatest beneficial impact on selective attention.

To the best of the authors’ knowledge, this review is the first to present the extant literature on the effect of physical activity and sport on symptoms of young people with ADHD. It presents evidence to suggest that exercise with progressively increasing cognitive demands may have positive effects for children with ADHD, specifically in terms of improving cognitive flexibility. Further large-scale clinical trials are needed to confirm the positive effects of physical exercise on cognitive functioning in children with ADHD.

This study aims to follow a rigorous approach to identify, critically analyze and synthesize 75 papers published from 2000 to 2022.

The study presents a systematic literature review on identity expressiveness (IE), clarifying and expanding what is currently known about the concept.

To synthesize current knowledge on IE, the study uses the overarching framework of antecedents-phenomenon-consequences, using this same framework to identify gaps and future research directions. The findings show individual and brand-related factors such as the need for uniqueness and anthropomorphism as antecedents of IE, and eWOM/WOM, impulse purchases and upgrading to more exclusive lines as consequences of IE.

The study contributes to theory by synthesizing and mapping current understanding of the state of knowledge on the concept of IE while highlighting gaps in the extant literature and paving future research directions for scholars in the field.

The study offers useful insights for practitioners, broadening marketers’ actionable options in identity-based marketing. Marketers can use insights from this study to inform marketing strategy and communication campaigns for different types of brands.

To the best of the authors’ knowledge, this study is the first of its kind and offers an integrative review of the current literature on IE, thus enhancing understanding of the concept, its antecedents and consequences. The study also contributes to knowledge by highlighting future research priorities for researchers in this field of enquiry.

The purpose of this study is to assess the validity and predictability of insights from the investment model (IM) in the context of strategic manufacturer–industrial supplier relationships. IM is a theoretical model in social psychology pertaining to interpersonal relationship discontinuity. This formal empirical test of IM in a different context supports vertical theory borrowing and minimizes the risk of committing atomistic fallacy.

Data collected from 256 sourcing professionals participating in a scenario-based role-playing experiment were analyzed via structural equation modeling. The authors also performed bootstrapping to assess indirect effects.

The IM is generally applicable to the context of interfirm relationship dissolution. Relative to the original context of interpersonal relationship dissolution, three nuances are detected: investment size as an antecedent has lowered prominence in influencing commitment; satisfaction level, quality of alternatives and investment size have non-orthogonal effects on commitment; and satisfaction level influences relationship continuity through and beyond commitment.

The empirical findings broaden boundary conditions for IM insights. Beyond interpersonal relationship dissolution, the IM appears to also describe, explain and predict interfirm relationship dissolution.

Keeping the manufacturer satisfied is critical. Moreover, suppliers should be cautious when entering joint product development agreements.

This study appears to be among the first to formally validate the applicability of IM insights as they pertain to the dissolution of strategic manufacturer–industrial supplier relationships.

Algorithms are widely used to manage various activities in the gig economy. Online car-hailing platforms, such as Uber and Lyft, are exemplary embodiments of such algorithmic management, where drivers are managed by algorithms for task allocation, work monitoring and performance evaluation. Despite employing substantially, the platforms face the challenge of maintaining and fostering drivers' work engagement. Thus, this study aims to examine how the algorithmic management of online car-hailing platforms affects drivers' work engagement.

Drawing on the transactional theory of stress, the authors examined the effects of algorithmic monitoring and fairness on online car-hailing drivers' work engagement and revealed the mediation effects of challenge-hindrance appraisals. Based on survey data collected from 364 drivers, the authors' hypotheses were examined using partial least squares structural equation modeling (PLS-SEM). The authors also applied path comparison analyses to further compare the effects of algorithmic monitoring and fairness on the two types of appraisals.

This study finds that online car-hailing drivers' challenge-hindrance appraisals mediate the relationship between algorithmic management characteristics and work engagement. Algorithmic monitoring positively affects both challenge and hindrance appraisals in online car-hailing drivers. However, algorithmic fairness promotes challenge appraisal and reduces hindrance appraisal. Consequently, challenge and hindrance appraisals lead to higher and lower work engagement, respectively. Further, the additional path comparison analysis showed that the hindering effect of algorithmic monitoring exceeds its challenging effect, and the challenge-promoting effect of algorithmic fairness is greater than the algorithm's hindrance-reducing effect.

This paper reveals the underlying mechanisms concerning how algorithmic monitoring and fairness affect online car-hailing drivers' work engagement and fills the gap in the research on algorithmic management in the context of online car-hailing platforms. The authors' findings also provide practical guidance for online car-hailing platforms on how to improve the platforms' algorithmic management systems.