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Research has supported both feedback’s variable effects on performance and the effect of attributions on subsequent behavior. Managers’ attributions for subordinates’ performance affect how they react to those subordinates and the feedback they give, and subordinates’ own attributions affect their subsequent behavior. It is unclear whether (or how) a manager’s attributions for subordinate behavior affect subordinate behavior. Building on research that shows emotional reactions in response to attributions in feedback, this study aims to examine how recipients’ perceptions and subsequent effort and performance are affected when others’ attributions are shared through feedback.

Drawing on attribution theory and feedback intervention theory, this study conducts a lab experiment using manipulated performance feedback to test the effects of feedback sign and attributions in the feedback. Perceptions of the attribution are also measured to test their effects. The data were analyzed using analysis of variance and regression in SPSS 27.

Results show that perceptions of the attribution communicated in feedback, rather than feedback sign alone, affect perceived valence of the feedback (e.g. feedback with an attribution to luck is generally perceived as negative). These perceptions also affect feedback acceptance and impact subsequent effort and performance more than the “objective” attribution, underscoring the importance of recipient reactions and perceptions in the feedback process.

This paper shows that recipients’ perceptions of others’ attributions included in feedback impact feedback reactions, effort and performance. This is valuable to scholars researching feedback and to practitioners to better understand how feedback they deliver may be interpreted.

This practice piece aims to review an occupational therapy led pilot programme – social farming as an intervention option in an adult community mental health setting in Ireland. It will also reflect on the practical implications of delivering the natural surroundings based programme through the COVID-19 pandemic and plans for the future development of such programmes in adult mental health services.

The Occupational Circumstances Assessment Interview Rating Scale (OCAIRS) was used to measure occupational participation (Forsyth, 2005). This was administered with participants’ pre and post their participation in the 10-week programme. An internal questionnaire was developed to further capture both the participant and farmer experiences of the social farming programme.

Whilst improvements were noted in a number of OCAIRS domains, it was difficult to identify small changes over a short period of time. The main domains of change were habits, roles, interests and personal causation. The success of the social farming placements was also reflected in the internal questionnaire. The pilot programme has resulted in the further development of the social farming programme and securing of funding for placements for five years.

It would be beneficial to consider other standardised assessments that assess quality of life and occupation for future placements. It is also beneficial to consider practical implications in delivering a social farming programme, particularly to those with barriers to transport. It is hoped this paper will contribute to the growing knowledge of social farming as a meaningful therapeutic intervention in mental health occupational therapy practice.

This study addresses how algorithmic recommendations and their affordances shape everyday information practices among young people.

Thematic interviews were conducted with 20 Finnish young people aged 15–16 years. The material was analysed using qualitative content analysis, with a focus on everyday information practices involving online platforms.

The key finding of the study is that the current affordances of algorithmic recommendations enable users to engage in more passive practices instead of active search and evaluation practices. Two major themes emerged from the analysis: enabling not searching, inviting high trust, which highlights the how the affordances of algorithmic recommendations enable the delegation of search to a recommender system and, at the same time, invite trust in the system, and constraining finding, discouraging diversity, which focuses on the constraining degree of affordances and breakdowns associated with algorithmic recommendations.

This study contributes new knowledge regarding the ways in which algorithmic recommendations shape the information practices in young people's everyday lives specifically addressing the constraining nature of affordances.

Efficient delivery of integrated healthcare requires solid alliances and collaboration with stakeholders on a regular basis. Due to coronavirus disease 2019 (COVID-19), it has become necessary to explore new ways of delivering integrated healthcare, and virtual clinics have offered one solution and are likely to continue due to the uncertainty with COVID-19. This study aims to explore clinicians’ experiences of how efficient virtual elective knee clinics (VEKC) are in an orthopaedic setting in comparison to traditional face-to-face clinics.

The study utilised a mixed-methods study to obtain qualitative and quantitative data. This involved an anonymous online survey in addition to in-depth qualitative interviews conducted with a purposive sample of multidisciplinary colleagues who work with the VEKC in an acute hospital.

Three overarching themes and nine sub-themes emerged in the qualitative analysis. Overall, clinicians in both the quantitative and qualitative aspects of the study highlighted several ways that virtual clinics are efficient from both the patient and health service perspective. However, participants also highlighted barriers in relation to virtual clinics not being suitable for certain cohorts of patients and pathologies.

This is the first study in Ireland to provide valuable insights into the experiences of multidisciplinary clinicians using VEKC and their efficiency compared to traditional face-to-face clinics.

The purpose of this article is to better understand the relevance of value creation in the interconnection amongst entrepreneurship, marketing and innovation by reviewing the literature.

The authors employed a systematic review methodology using the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) protocol to analyse the literature in depth. The articles were selected from the Scopus database and dated from 1987 to 2021. An initial total of 1,158 articles was successively narrowed down to a final list of 123 papers matching the selection criteria. Moreover, content analysis on the sample was performed to explore and analyse whether value creation directly or indirectly appears as a goal or antecedent amongst entrepreneurship, marketing and innovation.

The findings suggest that the literature does not clearly define the topic linkage, and with the authors' results, the authors provide a comprehensive mapping of the contributions to a theoretical framework that synthesises knowledge. Moreover, the authors highlight that the interconnection between marketing and entrepreneurship, i.e. entrepreneurial marketing, requires an innovative approach for satisfying customer needs and creating value. Co-occurrence analysis of the keywords also allowed to identify four clusters that were open to new research streams.

Entrepreneurship, marketing and innovation are recognised research topics in the business and management literature. However, prior research has not provided clear and comprehensive evidence about how these three research topics are linked to each other. This work analyses the hidden relationship amongst them.

The data economy mainly relies on the surveillance capitalism business model, enabling companies to monetize their data. The surveillance allows for transforming private human experiences into behavioral data that can be harnessed in the marketing sphere. This study aims to focus on investigating the domain of data economy with the methodological lens of quantitative bibliometric analysis of published literature.

The bibliometric analysis seeks to unravel trends and timelines for the emergence of the data economy, its conceptualization, scientific progression and thematic synergy that could predict the future of the field. A total of 591 data between 2008 and June 2021 were used in the analysis with the Biblioshiny app on the web interfaced and VOSviewer version 1.6.16 to analyze data from Web of Science and Scopus.

This study combined findable, accessible, interoperable and reusable (FAIR) data and data economy and contributed to the literature on big data, information discovery and delivery by shedding light on the conceptual, intellectual and social structure of data economy and demonstrating data relevance as a key strategic asset for companies and academia now and in the future.

Findings from this study provide a steppingstone for researchers who may engage in further empirical and longitudinal studies by employing, for example, a quantitative and systematic review approach. In addition, future research could expand the scope of this study beyond FAIR data and data economy to examine aspects such as theories and show a plausible explanation of several phenomena in the emerging field.

The researchers can use the results of this study as a steppingstone for further empirical and longitudinal studies.

This study confirmed the relevance of data to society and revealed some gaps to be undertaken for the future.

Schools have a significant role in ensuring children's wellbeing as children spend a lot of time at school. Students need to have an active role in their learning and an opportunity to participate in issues concerning wellbeing and studying. This research examines students' wellbeing in an innovative learning environment. The classroom is built with professionals, teachers and students (aged 9). The authors call it Learning Ground.

Students' wellbeing was measured with smart device application for a six-week period. Students answered the questionnaire with a Likert scale of five (very poor – excellent) responses. Two weeks during the six weeks research period, students were able to use digital study aids, EEG-biosensor headsets, to observe the effectiveness of their learning, defined by NeurSky app. The EEG-biosensors enabled students to use a tool to recognise their own learning factors during the lessons. The effectiveness was available to students via tablets all the time.

The students at the Learning Ground are satisfied with wellbeing and the environment support for students' wellbeing experience is notable. They have “good vibes” before and after the school day. When wearing EEG-headsets “study aids”, which enabled them to observe their learning via tablets at lessons, the wellbeing experience in the mornings even increased.

Schools need to be visionaries concerning 21st century learning and children's wellbeing. Building flexible learning environments and bringing innovative technologies into schools to provide active support for students will enable 21st century learning. Wellbeing of children should become first when developing the future schools.

This paper elucidates the role of anger in error management (EM) and organizational learning behaviors. The study explores how anger can catalyze learning, emphasizing its strategic implications.

A double-layered moderated-mediated model was developed and tested using data from 744 Chinese CEOs. The psychometric properties of the survey instrument were rigorously examined through structural equation modeling, and hypotheses were tested using Hayes's PROCESS macros.

The findings reveal that anger is a precursor for recognizing the value of significant errors, leading to a positive association with learning behavior among top management team members. Additionally, the study uncovers a triple interaction effect of anger, EM culture and supply chain disruptions on the value of learning from errors. Extensive experience and positive grieving strengthen the relationship between recognizing value from errors and learning behavior.

This study uniquely integrates affect-cognitive theory and organizational learning theory, examining anger in EM and learning. The authors provide empirical evidence that anger can drive error value recognition and learning. The authors incorporate a more fine-grained approach to leadership when including executive anger as a trigger to learning behavior. Factors like experience and positive grieving are explored, deepening the understanding of emotions in learning. The authors consider both negative and positive emotions to contribute to the complexity of organizational learning.