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Tactical capacity planning is crucial when hospitals must cope with substantial changes in patient requirements, as recently experienced during the Covid-19 pandemic. However, there is only little understanding of the nature of capacity limitations in a hospital, which is essential for effective tactical capacity planning.

We report a detailed analysis of capacity limitations at a Norwegian tertiary public hospital and conducted 22 in-depth interviews. The informants participated in capacity planning and decision-making during the Covid-19 pandemic. Data are clustered into categories of capacity limitations and a correspondence analysis provides additional insights.

Personnel and information were the most mentioned types of capacity limitations, and middle management and organizational functions providing specialized treatment felt most exposed to capacity limitations. Further analysis reveals that capacity limitations are dynamic and vary across hierarchical levels and organizational functions.

Future research on tactical capacity planning should take interdisciplinary patient pathways better into account as capacity limitations are dynamic and systematically different for organizational functions and hierarchical levels.

We argue that our study possesses common characteristics of tertiary public hospitals, including professional silos and fragmentation of responsibilities along patient pathways. Therefore, we recommend operations managers in hospitals to focus more on intra-organizational information flows to increase the agility of their organization.

Our detailed capacity limitation analysis at a tertiary public hospital in Norway during the Covid-19 pandemic provides novel insights into the nature of capacity limitations, which may enhance tactical capacity planning.

How to embed artificial intelligence (AI) in human resource management (HRM) is one of the core challenges of digital HRM. Despite regulations demanding humans in the loop to ensure human oversight of AI-based decisions, it is still unknown how much decision-makers rely on information provided by AI and how this affects (personnel) selection quality.

This paper presents an experimental study using vignettes of dashboard prototypes to investigate the effect of AI on decision-makers’ overreliance in personnel selection, particularly the impact of decision-makers’ information search behavior on selection quality.

Our study revealed decision-makers’ tendency towards status quo bias when using an AI-based ranking system, meaning that they paid more attention to applicants that were ranked higher than those ranked lower. We identified three information search strategies that have different effects on selection quality: (1) homogeneous search coverage, (2) heterogeneous search coverage, and (3) no information search. The more applicants were searched equally often (i.e. homogeneous) as when certain applicants received more search views than others (i.e. heterogeneous) the higher the search intensity was, resulting in higher selection quality. No information search is characterized by low search intensity and low selection quality. Priming decision-makers towards carrying responsibility for their decisions or explaining potential AI shortcomings had no moderating effect on the relationship between search coverage and selection quality.

Our study highlights the presence of status quo bias in personnel selection given AI-based applicant rankings, emphasizing the danger that decision-makers over-rely on AI-based recommendations.

Using a case study of Zimbabwe’s central government, this study aims to empirically examine the extent to which senior management was supportive of the records management function as well as the reasons why such levels of support subsisted.

This mixed methods research made use of the explanatory sequential research design where quantitative responses from records and information supervisors were either confirmed or disconfirmed by open-ended interview responses from finance and administration directors. Fifteen records and information supervisors and eight finance and administration directors participated in the study. Document reviews and personal observation were also used in soliciting data.

The study revealed that top management was not very supportive of the records management function as a result of lack of knowledge about records management and because of negative perceptions and attitudes harboured by some senior managers towards the functional area. The study also revealed that organisational structural factors also played a part as the records and information management section was poorly represented by finance and administration directors at the top, who by virtue of their training had little knowledge about and interest in records management.

The study raises the importance of senior management in records management processes, projects and programmes. It highlights that without senior management support, records management initiatives are bound to fail. Thus, the study is important as it raises the need to incorporate senior management as part of organisations’ tactical and operational strategy.

Computer vision (CV) offers a promising approach to transforming the conventional in-person inspection practices prevalent within the construction industry. However, the reliance on centralized systems in current CV-based inspections introduces a vulnerability to potential data manipulation. Unreliable inspection records make it challenging for safety managers to make timely decisions to ensure safety compliance. To address this issue, this paper proposes a blockchain (BC) and CV-based framework to enhance safety inspections at construction sites.

This study adopted a BC-enhanced CV approach. By leveraging CV and BC, safety conditions are automatically identified from site images and can be reliably recorded as safety inspection data through the BC network. Additionally, by using this data, smart contracts coordinate inspection tasks, assign responsibilities and verify safety performance, managing the entire safety inspection process remotely.

A case study confirms the framework’s applicability and efficacy in facilitating remote and reliable safety inspections. The proposed framework is envisaged to greatly improve current safety inspection practices and, in doing so, contribute to reduced accidents and injuries in the construction industry.

This study provides novel and practical guidance for integrating CV and BC in construction safety inspection. It fulfills an identified need to study how to leverage CV-based inspection results for remotely managing the safety inspection process using BC. This work not only takes a significant step towards data-driven decision-making in the safety inspection process, but also paves the way for future studies aiming to develop tamper-proof data management systems for industrial inspections and audits.

This study aims to investigate the adoption and use of electronic health record systems (EHRS) in Tanzanian public primary healthcare institutions. The study’s objectives include understanding the factors that affect EHRS adoption, identifying implementation challenges and evaluating the effect of EHRS usage on healthcare delivery. By addressing these research goals, the study aims to contribute insightful information on the current level of EHRS adoption in Tanzanian primary healthcare facilities and contribute to developing strategies to improve EHRS deployment and healthcare in the nation.

This study combined quantitative and qualitative data using a mixed-methods methodology. Both data types were collected and analysed concurrently using a concurrent triangulation approach. The study aimed to comprehend the variables that affect the adoption and use of EHRS in Tanzanian public primary healthcare institutions. Eleven regions spanning various geographic locations and urban–rural dynamics were chosen as research sites. A survey of 122 healthcare employees was conducted with a sample of 31 healthcare facilities. The questionnaire had closed-ended and open-ended questions to gather quantitative and qualitative data. Descriptive statistics and thematic analysis were used in data analysis. Throughout the investigation, ethical standards and confidentiality precautions were observed.

Several factors affect the adoption and use of EHRS. Perceived usefulness and use, support and training, interoperability, data security and privacy, business culture and leadership are all factors. Inadequate infrastructure, power interruptions, duplication of effort and a lack of data analytic expertise were among the difficulties. Among the effects were improvements in data management, service delivery and coordination, productivity and efficiency, medical supply inventory control, billing and revenue collection.

This study, which complements earlier research that has concentrated chiefly on specialised healthcare settings, gives new insights by investigating the adoption and utilisation of EHRS, especially in primary healthcare institutions. The findings give policymakers and healthcare professionals in Tanzania and other nations vital information to help them decide whether to embrace and use EHRS in primary healthcare.

This study aims to uncover the mechanisms behind the marginalization of county-level public libraries.

The research surveyed 25 counties in central China, including Hubei, Chongqing, Hunan, and Guizhou provinces. Semi-structured interviews were conducted with library directors and deputy directors, focusing on main and branch library construction, cultural inclusivity, library assessment, and digital services.

Contributing factors to library marginalization were identified as economic pressure, institutional domain, longstanding issues, organizational entity, and societal misconceptions. Building on this, the study introduces the HBAC model to explain county-level public library marginalization. Considering the actual social context of these libraries, the article proposes a “3 + 1” approach to mitigate their marginalization.

The research methodology, analysis process, theoretical model, and recommendations provided could shed light on academic research and practical exploration in the field of public libraries globally.

This qualitative case study aims to identify and analyse the factors influencing the implementation and effectiveness of electronic health record systems (EHRS) in primary health-care (PHC) facilities in Tanzania. This study aims to explore ways to optimize the use of EHRS for better health-care service delivery.

The study uses a qualitative case study design. Data were collected through interviews and focus groups conducted with health-care workers and information and communication technology officers at the PHC facilities in Tanzania. Purposive sampling and data source triangulation were used to address potential biases and limitations associated with the study’s small sample size.

This study identifies several key findings related to the implementation and effectiveness of EHRS in Tanzanian PHC facilities. The primary obstacles include inadequate technical infrastructure, poor internet connectivity and insufficient financial resources. The study suggests a comprehensive strategy for improving EHRS, emphasizing patient and health-care professional involvement in system design, investments in technical infrastructure and connectivity, data quality and accuracy and ongoing technical support and training.

This research contributes to the existing body of knowledge by offering a nuanced understanding of the Tanzanian health-care context. It emphasizes the need for tailored solutions and strategies specific to the region’s challenges and opportunities. The study’s originality lies in its focus on EHRS in the Tanzanian context, providing valuable insights for future initiatives. A key policy implication underscores the importance of a supportive regulatory framework, dedicated resources and consistent stakeholder communication for successful EHRS implementation.

China’s healthcare system is being burdened by the increasing prevalence of chronic diseases. Therefore, this study investigated the health service requirements of mobile health applications (mHealth apps) users in Hangzhou, China. This study aimed to propose suggestions and theoretical references to improve mHealth apps and promote their development, thereby meeting public medical and health needs and creating an efficient medical service system.

We constructed a model of health service demands using a literature review, network survey, and semi-structured interviews. We analyzed the demand attributes using the Kano model and Better-Worse index and obtained the priority ranking of demands.

The results revealed 25 demand elements in four dimensions: must-be (M), one-dimensional (O), attractive (A), and indifferent (I) requirements. The findings suggest that mHealth app developers can optimize health services by categorizing and managing health services, focusing on middle-aged users, enhancing the professionalism of health service providers, and improving the feedback mechanism.

Studies on mHealth apps user demands, particularly on health service needs, remain scarce. This study employed a mixed-methods approach, integrating both qualitative and quantitative research techniques, to establish a priority ranking of user health service needs for mHealth apps. The study offers recommendations and theoretical references to optimize and improve mHealth app services.

1. Construct a better health service requirements model for mHealth app users.

2. Obtain the prioritization of demand elements in the model.

3. Propose some management suggestions to improve mHealth apps.

Construct a better health service requirements model for mHealth app users.

Obtain the prioritization of demand elements in the model.

Propose some management suggestions to improve mHealth apps.

This study describes how maintenance capability should be created during the design and construction phases of construction projects. Purpose of the abstract to define the elements for creating the maintenance capability and the process to be used in construction life cycle projects for buildings.

An inductive and qualitative research method was used to construct the proposed process based on the literature and 18 interviews in two large construction companies.

The results indicate that the maintenance phase is usually overlooked during the design and construction phases, and capabilities are not systematically built. In particular, processes are lacking in data management, causing severe problems in maintenance.

This study presents a process including key requirements and activities for creating maintenance capability in conjunction with the design and construction phases, which is novel to the literature. The validated process can be adapted based on the needs of the construction company.

Visual stimuli are integral for the destination selection process, as well as for the delivery of unique, novel and compelling tourist experiences. Emerging techniques, such as eye-tracking, are effective for mapping tourists' visual interests and paths, presenting an opportunity to identify patterns of visual attention, which provide insights into the underlying cognitive processes which underpin experiences. Building on a systematic review of the progress and development of eye-tracking in tourism field, this chapter summarises five main current research contexts for application and five future research directions. It also narrows the gap between eye-tracking and cognitive psychology by critically examining bottom-up and top-down attentional mechanisms.