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The study refers to a health-care organization engaged in adopting “home health care” as a new object of activity. This study aims to explore how the reconfiguration of the object influences the transformative perspective, affecting not just a service but a broader approach and meaning behind patient care. It also investigates the main contradictions at play and the levers to support inter-organizational learning while facing the new challenges and change processes.

The work is based on a qualitative and ethnographic methodology directed to examine cultural, practical and socio-material aspects. The activity theory is assumed as a powerful approach to understand collective learning and distributed agency processes.

The renewal of the new object of work is analyzed as a trigger for shifts in representations, cultural processes and collective support implemented by the organization. Three agentic trajectories – technical, dialogical and collaborative agency – were cultivated by the management to deliver home health care through joint exercises of coordination and control, dialogical spaces and collaborative process.

The data collection was disrupted by the pandemic. A follow-up study would be beneficial to inquire how the learning processes shifted or were influenced by the contextual changes.

This contribution provides a practical framework for health-care organizations aiming to navigate and explore the physiological tensions and contradictions emerging when the object of work is changed.

The paper develops the field of intra- and inter-organizational learning by presenting an intertwined and structural connection between these processes and the renewing of the object of work. It advises that processes of transformation must be handled with attention to the critical and collective dynamics that accompany sustainable and situated changes.

The purpose of this paper is to describe how the growing presence of Airbnb rentals, resulting partly from tourists’ increasing desire for transformative travel experiences, is ironically much more transformative for the host communities than the tourists themselves.

This paper provides a conceptual analysis linking the motivations of Airbnb guests with the impacts of Airbnb on host communities. It uses an experience economy lens, and is based on a review of the academic literature and of media stories related to Airbnb.

Many tourists are increasingly seeking transformative travel experiences, and Airbnb commonly will be appealing to such tourists. However, the capacity of Airbnb lodging to independently foster personal transformation is questionable. On the other hand, there is little doubt that Airbnb and its guests are producing significant transformations in host communities.

This paper contributes toward understandings of Airbnb and its impacts on destinations around the world. It, for the first time, links Airbnb guests’ travel motivations with Airbnb’s community impacts, and in doing so demonstrates parallels with past critiques of alternative tourism. This paper is also one of the first to examine Airbnb from the perspective of the experience economy.

This study aims to explore the risk and protective factors of abuse on older adults by family caregivers, with a special focus on the protective role of caregiver resilience in elder abuse.

This cross-sectional survey was conducted on a purposive sample of 600 family caregivers of community-dwelling older adults in Hong Kong (mean age = 71.04 and female = 67.2%). Caregivers reported in a guided interview about elder abuse behaviours, caregiver burden, care recipients’ agitated behaviours, caregiver resilience, self-efficacy, social support and basic demographic characteristics. Hierarchical linear regression analyses were conducted to examine the predictors of different forms of elder abuse.

Caregiver resilience was predictive of lower levels of verbal abuse, physical abuse, injury and financial exploitation but not potentially harmful behaviour (PHB). Social support was independent with all forms of elder abuse, while self-efficacy predicted greater physical abuse after the adjustment of confounding variables. Caregiver burden and agitated behaviours by care recipients remained as significant risk factors in the final models when protective factors were considered.

This study extends current knowledge on the protecting role of resilience in elder abuse in family caregiving. Mixed findings revealed on social support and self-efficacy also highlight the complexity of the prediction of caregiver abuse. Further research should address this area.

The findings of this study warrant the inclusion of caregiver resilience as a key component in developing interventions to prevent elder abuse. Addressing caregiver burden and agitated behaviours have the potential in preventing elder abuse.

The findings raise awareness of the importance of supporting caregivers in the community to prevent elder abuse.

Research concerning the protective factors of elder abuse is in a preliminary stage. To the best of the authors’ knowledge, this study is among the first which successfully demonstrates the protective role of resilience in caregiver abuse on older adults. The findings shed invaluable light on the design of effective interventions.

The authors prove the existence and uniqueness of fixed point of mappings satisfying Geraghty-type contractions in the setting of preordered modular G-metric spaces. The authors apply the results in solving nonlinear Volterra-Fredholm-type integral equations. The results extend generalize compliment and include several known results as special cases.

The results of this paper are theoretical and analytical in nature.

The authors prove the existence and uniqueness of fixed point of mappings satisfying Geraghty-type contractions in the setting of preordered modular G-metric spaces. apply the results in solving nonlinear Volterra-Fredholm-type integral equations. The results extend, generalize, compliment and include several known results as special cases.

The results are theoretical and analytical.

The results were applied to solving nonlinear integral equations.

The results has several social applications.

The results of this paper are new.

This paper aims to introduce the Empatia video reflection method, designed to enhance care workers’ awareness of empathic care. The method makes the quality of care visible, which is needed when digitalization efforts in elder care focus on the efficiency and adequacy of care work.

The Empatia method leans on previous studies of the interaction between care professionals and clients and elaborates further previous video reflection methods. In empathic care work, the care worker sees the client on their life continuum, rather than focusing on only medical treatments.

The empirical example demonstrates how a care worker gained awareness of their empathic interaction habits. Within the work community, the reflection process sparked discussions on values: the purpose of care work and how to conduct empathic care. Focusing on empathic relationships in care fosters both the client’s and the care worker’s well-being.

The strength of the Empatia method is that it makes empathy visible in interaction and something that is individually and collectively learnable. The Empatia includes an analytical tool for researchers to reveal empathy in client interaction. It can be developed further into a reflection tool for service work to learn how to be empathic in service encounters.

Compared to other video-stimulated recall methods, the Empatia involves contextual understanding of care work. Empowering positive interactions instead of detecting errors and solving problems is a novel concept and is scantily used in studies of organizational learning. The Empatia provides a detailed method description that allows for the replication of the method by anyone.

Small- and medium-sized enterprises (SMEs) often operate in environments marked by high levels of turbulence. Such firms adopt digital technologies and platforms that provide access to external real-time information and establish digital connectivity between firms to remain competitive. This study aims to focus on SMEs’ downstream and upstream platform-based digital connectivity (PDC).

This study examines the effects of PDC on SMEs’ operational performance under conditions of environmental turbulence. The data was gathered from 192 SMEs operating in the manufacturing arena.

The results show that the adoption of PDC does not directly affect an SME’s operational performance. However, in highly turbulent environments, PDC can improve operational performance. The results indicate that the performance effects of PDC vary according to the level and type of environmental turbulence.

This research offers insights into the relationship between PDC among SMEs and operational performance and encourages future research examining other possible conditional effects that could explain the contradictory results found in previous research.

This study contributes to the knowledge of supply-chain digitalization among SMEs and its performance effects in varying environmental conditions. Further, this study contributes to the prior research by focusing on the interorganizational aspects of digitalization in SMEs.

Many libraries and archives maintain collections of research documents, such as administrative records, with paper-based formats that limit the documents' access to in-person use. Digitization transforms paper-based collections into more accessible and analyzable formats. As collections are digitized, there is an opportunity to incorporate deep learning techniques, such as Document Image Analysis (DIA), into workflows to increase the usability of information extracted from archival documents. This paper describes the authors' approach using digital scanning, optical character recognition (OCR) and deep learning to create a digital archive of administrative records related to the mortgage guarantee program of the Servicemen's Readjustment Act of 1944, also known as the G.I. Bill.

The authors used a collection of 25,744 semi-structured paper-based records from the administration of G.I. Bill Mortgages from 1946 to 1954 to develop a digitization and processing workflow. These records include the name and city of the mortgagor, the amount of the mortgage, the location of the Reconstruction Finance Corporation agent, one or more identification numbers and the name and location of the bank handling the loan. The authors extracted structured information from these scanned historical records in order to create a tabular data file and link them to other authoritative individual-level data sources.

The authors compared the flexible character accuracy of five OCR methods. The authors then compared the character error rate (CER) of three text extraction approaches (regular expressions, DIA and named entity recognition (NER)). The authors were able to obtain the highest quality structured text output using DIA with the Layout Parser toolkit by post-processing with regular expressions. Through this project, the authors demonstrate how DIA can improve the digitization of administrative records to automatically produce a structured data resource for researchers and the public.

The authors' workflow is readily transferable to other archival digitization projects. Through the use of digital scanning, OCR and DIA processes, the authors created the first digital microdata file of administrative records related to the G.I. Bill mortgage guarantee program available to researchers and the general public. These records offer research insights into the lives of veterans who benefited from loans, the impacts on the communities built by the loans and the institutions that implemented them.