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This paper aims to present recently published resources on library instruction and information literacy (IL). It provides an introductory overview and a selected annotated bibliography of publications organized thematically and detailing study populations, results and research contexts. The selected bibliography is useful to efficiently keep up with trends in library instruction for academic library practitioners, library science students and researchers wishing to learn about IL in other contexts.

This paper annotates 374 English-language periodical articles, dissertations, theses and reports on library instruction and IL published in 2023. The sources were selected from the EBSCO platform for Library, Information Science and Technology Abstracts (LISTA), Education Resources Information Center (ERIC), Elsevier SCOPUS and ProQuest Dissertations and Theses. Sources selected were published in 2023 and included the terms “information literacy,” “library instruction” or “information fluency” in the title, subject terms or author-supplied keywords. The sources were organized in Zotero. Annotations were made summarizing the source, focusing on the findings or implications. Each source was then thematically categorized and organized for academic librarians to be able to skim and use the annotated bibliography adeptly.

The paper provides a brief description of 374 sources from 159 unique publications and highlights publications that contain unique or significant scholarly contributions. Further analysis of the sources and authorship are provided such as country affiliation and institutional Carnegie classification.

The information is primarily of use to academic librarians, researchers and anyone interested as a convenient and comprehensive reference to literature on library instruction and IL published within 2023.

This study aims to examine the associations of collaboration measured as social network characteristics with perceived job demands, job control and social support in primary healthcare professionals.

A cross-sectional study design incorporating social network analysis was utilized. Wellbeing surveys with a network questionnaire were sent to care personnel (physicians, nurses and allied health workers) of Finnish primary healthcare in December 2022 (n = 96). Correlation coefficients and multivariate linear regression modeling were used to analyze the associations.

Higher level of collaboration (measured as number of connections in the network) was associated with lower perceived job demands and higher job control. Care professionals’ frequency of collaboration and proportion of connections with the same occupation (homophily) were borderline associated with social support, indicating further research needs. Larger professional networks, perhaps enabling better teamwork and sharing of workload or information, may directly or indirectly protect from job strain.

Work-related collaboration in primary care should be encouraged and large support networks need to be promoted further. Individuals, especially allied health workers, working in multiple locations or as a sole member of their occupation group in the work community need to be provided with adequate social support.

Social network analysis has been proposed as a tool to investigate care integration and collaboration, but direct analyses of network measures and validated wellbeing instruments have remained absent. This study illuminated the role of collaboration structures in work-related wellbeing of care professionals by showcasing the potential of social network analysis.

This study aims to examine the relationship between medication for opioid use disorder (MOUD) among pregnant individuals, referral source, mental health, political affiliation and substance use policies in all 50 states in the USA.

This study describes MOUD receipt among pregnant people with an opioid use disorder (OUD) in 2018. The authors explored sociodemographic differences in MOUD receipt, referrals and co-occurring mental health disorders. The authors included a comparison of MOUD receipt among states that have varying substance use policies and examined the impact of these policies and the political affiliation on MOUD. The authors used multilevel binary logistic regression to examine effects of individual and state-level characteristics on MOUD.

Among 8,790 pregnant admissions with OUD, the majority who received MOUD occurred in the Northeast region (71.52%), and 14.99% were referred by the criminal justice system (n = 1,318). Of those who were self-referred, 66.39% received MOUD, while only 30.8% of referrals from the criminal justice system received MOUD. Those referred from the criminal justice system or who had a co-occurring mental health disorder were least likely to receive MOUD. The multilevel model showed that while policies were not a significant predictor, a state’s political affiliation was a significant predictor of MOUD.

The study has some methodological limitations; a state-level analysis, even when considering the individual factors, may not provide sufficient description of community-level or other social factors that may influence MOUD receipt. This study adds to the growing literature on the ineffectiveness of prenatal substance use policies designed specifically to increase the use of MOUD. If such policies are consistently assessed as not contributing to substantial increase in MOUD among pregnant women over time, it is imperative to investigate potential mechanisms in these policies that may not facilitate MOUD access the way they are intended to.

Findings from this study aid in understanding the impact that a political affiliation may have on treatment access; states that leaned more Democratic were more likely to have higher rates of MOUD, and this finding can lead to research that focuses on how and why this contributes to greater treatment utilization. This study provides estimates of underutilization at a state level and the mechanisms that act as barriers, which is a stronger assessment of how state-specific policies and practices are performing in addressing prenatal substance use and a necessary step in implementing changes that can improve the links between pregnant women and MOUD.

To the best of the authors’ knowledge, this is the first study to explore individual-level factors that include mental health and referral sources to treatment that lead to MOUD use in the context of state-level policy and political environments. Most studies estimate national-level rates of treatment use only, which can be useful, but what is necessary is to understand what mechanisms are at work that vary by state. This study also found that while substance use policies were designed to increase MOUD for pregnant women, this was not as prominent a predictor as other factors, like mental health, being referred from the criminal justice system, and living in a state with more Democratic-leaning affiliations.

The article contributes to affective ethnography focussing on the fluidity of organizational spacing. Through the concept of affective space, it highlights those elements that are ephemeral and elusive – like affect, aesthetics, atmosphere, intensity, moods – and proposes to explore affect as spatialized and space as affective.

Fluidity is proposed as a conceptual lens that sits at the conjunction of space and affect, highlighting both the movement in time and space, and the mutable relationships that the capacity of affecting and being affected weaves. It experiments with “writing differently” in affective ethnography, thus performing the space of representation of affective space.

The article enriches the alternative to a conceptualization of organizations as stable entities, considering organizing in its spatial fluidity and in being a fragmented, affective and dispersed phenomenon.

The article's writing is an example of intertextuality constructed through five praxiographic stories that illustrate the multiple fluidity of affective spacing in terms of temporal fluidity, fluidity of boundaries, of participation, of the object of practice, and atmospheric fluidity.

The integration of big data with artificial intelligence in the field of digital health has brought a new dimension to healthcare service delivery. AI technologies that provide value by using big data obtained in the provision of health services are being added to each passing day. There are also some problems related to the use of AI technologies in health service delivery. In this respect, it is aimed to understand the use of digital health, AI and big data technologies in healthcare services and to analyze the developments and trends in the sector.

In this research, 191 studies published between 2016 and 2023 on digital health, AI and its sub-branches and big data were analyzed using VOSviewer and Rstudio Bibliometrix programs for bibliometric analysis. We summarized the type, year, countries, journals and categories of publications; matched the most cited publications and authors; explored scientific collaborative relationships between authors and determined the evolution of research over the years through keyword analysis and factor analysis of publications. The content of the publications is briefly summarized.

The data obtained showed that significant progress has been made in studies on the use of AI technologies and big data in the field of health, but research in the field is still ongoing and has not yet reached saturation.

Although the bibliometric analysis study conducted has comprehensively covered the literature, a single database has been utilized and limited to some keywords in order to reach the most appropriate publications on the subject.

The analysis has addressed important issues regarding the use of developing digital technologies in health services and is thought to form a basis for future researchers.

In today’s world, where significant developments are taking place in the field of health, it is necessary to closely follow the development of digital technologies in the health sector and analyze the current situation in order to guide both stakeholders and those who will work in this field.

Given declining tuition funds and government grants, Kenyan universities need to develop strategies, including increased research grants and collaborations, to diversify their income sources. Well-managed doctoral students can boost a university’s teaching and research outputs. However, numbers of students enrolled in doctoral programmes at Kenyan universities are low, and graduation rates and time-to-graduate statistics are disturbing. Research undertaken elsewhere underline the important role played by supervisors and peers in facilitating students’ sense of belonging and their success. Therefore, this study aims to investigate the influence of supervisory and peer support on PhD students’ sense of belonging and their success at Kenyan universities.

In this cross-sectional study, data were gathered through an online questionnaire from 614 students admitted to doctoral programmes at Kenyan universities between 2010 and 2018. We used multi-item scales to collect data on PhD students’ self-efficacy, supervisory and peer support and a sense of belonging.

Structural equation modelling results revealed that PhD students’ modes of study and self-efficacy were significantly associated with the quality of supervision, peer support and a sense of belonging. However, only age, a sense of belonging and the quality of supervision were directly linked to their success.

This study contributes to the literature on doctoral-level education, responding to the need for research on the influence of relationships with supervisors and peers on PhD students’ sense of belonging and their success, especially in developing countries.

This paper proposes a framework for the implementation of sustainability practices by individual companies and corresponding supply chains (SCs), considering the various SC tiers, the three dimensions of sustainability and the following critical areas: Governance, Product and Process, Customers and Suppliers Management, and Stakeholder focus.

Using several case studies of small- and medium-size companies, a qualitative methodology is used to develop the proposed framework.

The analysis of these case studies makes it possible to identify the sustainability practices that are the most important for practitioners, thereby reducing the number of sustainability practices specified in the literature and giving some insights regarding which should be used in addressing critical areas. A set of guidelines and actions is also suggested for managers to continue the path of sustainability.

Further studies in other cultural and national realities and industrial contexts are desirable to assess the proposed framework's suitability and the results obtained.

The results of this study show that the practices implemented are highly dependent on the resources that the company can mobilize and, on the choices, and commitment to sustainability on the part of top management.

The authors propose a framework to help individual companies and corresponding SCs to implement sustainability practices considering the various dimensions of sustainability, critical areas and SC's various partners.

In marketing and consumer research, the study of Indigenous ideas and rituals remains limited. The authors present an Indigenous-informed study of consumption rituals co-produced with members of the Shipibo–Konibo Indigenous group of the Peruvian Amazon. Specifically, the authors worked with the Comando Matico, a group of Shipibos from Pucallpa, Peru. This study aims to investigate how Indigenous spiritual beliefs shape health-related consumption rituals by focusing on the experience of the Shipibos and their response to COVID-19.

Drawing upon the principles of Indigenous research, the authors co-produced this study with the Comando Matico. The authors collaboratively discussed the research project’s design, analysed and interpreted data and co-authored this study with members of the Comando Matico. This study uses discourse analyses. The corpus of discourse is speech and text produced by the Comando Matico in webinars and online interviews during the COVID-19 pandemic. The full and active participation of the Comando Matico informed the discourse analysis by ensuring Indigenous knowledge, and worldviews were infused throughout the process.

The authors foreground how Indigenous spiritual beliefs act as a force that imbues the knowledge and practice of health, wellbeing and illness, and this process shapes the performance of rituals. In Indigenous contexts, multiple spirits coexist with consumers, who adhere to specific rituals to respond to and relate to these spirits. Indigenous consumption rituals involve the participation of non-human beings (called rao, ibo, yoshin and chaikoni by the Shipibos) and this aspect challenges the traditional notion of rituals and ritual elements in marketing.

The authors demonstrate how Indigenous spiritual beliefs shape consumption rituals in the context of health and draw attention to how the acknowledgement of alternative ontologies and epistemologies can help address dominant hierarchies of knowledge in marketing theory.

This study aims to deepen the understanding of the challenges and implications entailed by deploying mobile clinics in conflict zones to reach populations affected by violence and cut off from health-care services.

This research combines an integrated literature review and an instrumental case study. The literature review comprises two targeted reviews to provide insights: one on conflict zones and one on mobile clinics. The case study describes the process and challenges faced throughout a mobile clinic deployment during and after the Iraq War. The data was gathered using mixed methods over a two-year period (2017–2018).

Armed conflicts directly impact the populations’ health and access to health care. Mobile clinic deployments are often used and recommended to provide health-care access to vulnerable populations cut off from health-care services. However, there is a dearth of peer-reviewed literature documenting decision support tools for mobile clinic deployments.

This study highlights the gaps in the literature and provides direction for future research to support the development of valuable insights and decision support tools for practitioners.