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This study uses a participatory action research (PAR) approach to evaluate the implementation and impact of the government of Tanzania health operation management information system (GoTHOMIS) on healthcare services in Tanzania. The primary objective is to assess the strengths, weaknesses and overall impact of GoTHOMIS.

The research uses a PAR methodology, involving active engagement with stakeholders from healthcare facilities, administrators and information technology experts. Data collection methods consist of key informant interviews and document analysis. The study strategically examines various aspects, including pre-implementation planning, challenges during implementation, system features and the strengths and weaknesses of GoTHOMIS. Furthermore, the focus extends to understanding the impact of GoTHOMIS on healthcare services.

The findings underscore critical areas for improvement, particularly in the pre-implementation planning stage. The study reveals issues related to a top-down approach and insufficient user participation, hindering the successful implementation of GoTHOMIS. Challenges such as inadequate infrastructure, power outages, missing diagnostic codes and compatibility issues with peripheral devices are identified. Despite these hurdles, GoTHOMIS exhibits strengths like improved accessibility, integration with the reporting system by the MTUHA government and automation of clinical tasks.

The study’s originality lies in applying a PAR approach to assess GoTHOMIS. This methodology provides valuable insights into the implementation challenges and suggests potential improvements. The study contributes to the existing body of knowledge by offering a detailed understanding of GoTHOMIS’s strengths and weaknesses, enhancing the potential for effective health management information systems.

On the basis of the conservation of resources theory (CORT), this study investigates the relationship between social overload and users’ withdrawal intention from social communities on social networking sites (SNSs), with the serial mediating mechanisms of social-psychological distance and emotional exhaustion and the moderating mechanism of (similar) linguistic style.

Data were collected from 489 users in different social communities on SNSs in an emerging market. Structural equation modeling was used to analyze the sample data and test the hypotheses.

Results show that social overload has a positive influence on withdrawal intention from social communities on SNSs. Furthermore, social-psychological distance and emotional exhaustion have a serial mediating effect in this relationship. In addition, (similar) linguistic style negatively moderates the link between social overload and emotional exhaustion and that between social overload and withdrawal intention.

This study extends CORT to propose and test a unique research model that clarifies the mechanisms leading to users’ withdrawal behavior from social communities on SNSs. The findings of this study provide implications for researchers, individual users, administrators/managers of social communities, and SNS providers to understand and make better decisions to retain member users.

This study investigates how the COVID-19 pandemic, as a unique environmental factor, influences Australian supermarket customers’ satisfaction and behavioural loyalty intentions through contactless self-checkout systems (SCSs). It examines the role of customer perceptions of service quality and vulnerability in shaping these outcomes and explores how customer perceptions of COVID-19 risk moderate these relationships.

Employing the stimulus-organism-response (S-O-R) theoretical framework, this research analyses responses from 428 Australian supermarket customers who use contactless self-checkout systems. The study integrates service quality and customer vulnerability as stimuli, examines their impact on customer satisfaction (the organism) and assesses how these factors influence customers' behavioural loyalty intentions (the response). Additionally, it explores how customer risk perceptions related to COVID-19 act as a moderator within these relationships.

The findings demonstrate that both SCS service quality and customer vulnerability significantly enhance customer satisfaction, positively affecting behavioural loyalty toward the supermarket. Furthermore, the study reveals that higher levels of perceived COVID-19 risk strengthen the impact of customer vulnerability on customer satisfaction and the effect of customer satisfaction on loyalty intentions.

This study contributes to the literature by highlighting the underexplored area of SCS usage and customer perceptions of service quality during an emerging pandemic among Australian consumers. It uniquely combines elements of consumer vulnerability and pandemic-related risk perceptions with traditional service quality metrics to offer new insights into customer behaviour in the retail sector. The study’s insights are valuable for supermarket management and marketing practices, particularly in adapting to and capitalizing on changes in consumer behaviour in response to global crises.

The adoption of digital technology has not been able to overcome the problem of patient healthcare service quality in Indonesian hospitals, especially in lower middle-class hospitals that are widely distributed in the regions, because its utilization has not been well coordinated. This research explores the influence of Digital Adoption Capability (DAC) on Hospital Performance (HP) for these service problems.

This research used a quantitative methodology design approach. Survey data were collected from 285 leaders of class C and D hospitals throughout Indonesia, who were selected at simple random from March to August 2023. Data analysis was carried out using the structural equation modeling method with the help of LISREL version 8.80 software.

The research found a positive and significant influence of DAC on HP. Digital Leadership (DL) plays an important role in performance, both directly and indirectly. ICT Literacy (ICT) and Patient-Centric (PC) do not have a direct influence on HP but provide significant results through DAC. This research also found Environmental Dynamism (ED) factors that significantly drive the need to improve performance through digital adoption.

Providing insight into increasing the role of digital technology to connect healthcare workers and patients to produce safe and quality healthcare services in an ever-changing environmental condition.

This model is very important for the management of small hospital organizations in the context of adopting digital technology to be able to provide better services to patients and improve hospital performance.