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The purpose of this article is to examine all the studies carried out within the scope of e-HRM and smart HRM, grouped according to the sub-functions of technical and HRM. The use of technology in HRM has started since the mid-1990s. However, this study focused on the articles published after 2014 in order to keep up to date. Any search strategy should allow for the completeness of the search to be evaluated. The terms “electronic-HRM”, “AI and HRM”, “Industry 4.0 and HRM”, “Society 5.0 and HRM”, “Human Resource Information Systems” and “Digital Technologies and HRM” “Human-robot interaction” has been questioned in IEEE Xplore, ALM digital library, Emerald Insight, SpringerLink, and Science Direct. The Web of Science and Scopus were also queried to double-check the findings and find other relevant articles in lesser-known libraries. Google Scholar was also used for forward and backward searches. These online databases have been chosen because they present the most important peer-reviewed full-text journals, conference proceedings, book chapters. Then, the references of each article were reviewed for additional articles on digital technologies and HRM. Each subsequent article is then reviewed for additional reference.

A total of 5,580 articles have been reviewed. Duplicate items have been removed. The titles and abstracts of 3,500 articles have been scanned to identify potential articles. The full-text evaluation of 2,554 was based on compliance with the inclusion criteria. In addition, 2,458 studies have been excluded. In total, 96 studies have been selected for data extraction. Additionally, questionnaires and reviews have been used to provide comprehensive research on e-HRM and smart HRM. The search terms used are expected to cover most, if not all, of the studies involving e-HRM and smart HRM.

The study carried out in this article is qualitative research. In the article, which methods are used and what has changed in e-HRM and smart HRM are examined. In particular, it has been thought about what can happen with the inclusion of human-machine interaction, AI, chatbots, industry 4.0 and information systems in HRM. Unlike previous studies, this review takes HRM from a broader perspective and groups it by topic, both by technical and HR functions. In addition, the reviewed articles provide brief information about the AI technologies used. In particular, criteria were taken into account according to the field, type and subject of the articles.

This study has the distinction of being the first in the literature in terms of examining all the studies carried out within the scope of e-HRM and smart HRM and grouped according to the sub-functions of technical and HRM in line with its purpose. The article focuses specifically on research published after 2014. It is expected to contribute to the literature in terms of collecting all studies in a single article. Other contributions of this article can be summarized in four main articles: 1) it presents a summary of previous research by grouping the studies on e-HRM and smart HRM according to the interests of researchers. 2) It saves time for the reader as it provides a brief explanation of the studies on the subject. 3) Instead of explaining in detail the general details analyzed in other articles, it offers a practical perspective by focusing on the type, subject and field of the article. 4) With the digitalization of HRM, new, up-to-date research and techniques are introduced.

This study aims to examine the effect of the different forms of attitudes on the behavioural intentions to adopt solar energy technologies (SETs) in Uganda. Although commonly examined, the effect of attitudes on people’s behavioural intentions to adopt SETs ought to be more distinctively examined to have a clear picture of how each of the identified sets of attitudes influences the adoption of SETs.

Based on a sample of 360 households from three urban districts in Uganda sampled using a multi-stage sampling technique, data were collected using a self-administrated structured questionnaire. The data were then analysed using partial least square–structural equation model with SmartPLS 3.0 software.

The study establishes that more specific attitudes affect behavioural intentions to adopt SETs than general pro-technology attitudes. Results reveal that both pro-environment and application-specific attitudes matter for behaviour intentions to adopt SETs amongst households. However, the general pro-technology attitudes are not significantly associated with behavioural intentions to adopt SETs.

The results are important for producers and promoters of solar technology to craft appropriate promotion campaigns intended to increase the acceptance and usage of SETs. This means focussing on creating positive attitudes specific to particular applications and popularising specific uses of solar technologies.

The study provides an alternative approach to the general representation of the attitudes–intentions relationships by examining the differences in the attitudes developed towards the different aspects of these technologies as a substantial source of variations in adoption behaviour, which is rarely addressed.

This study aims to determine the relationship between body mass index (BMI) and Global Registry of Acute Coronary Events (GRACE) risk score in patients diagnosed with acute coronary syndrome (ACS) and to evaluate the results in this context.

This was a prospective cohort study of ACS patients admitted to a cardiac care unit in high specialization hospital's cardiology service. The study included 140 men aged >35 years who were diagnosed with ACS.

The mean age of the individuals participating in the study was 61.4 ± 10.9 years old. The mean BMI of the individuals was 25.3 ± 6.6 kg/m², and the mean value of the waist/hip ratio was 0.85 ± 0.01. Individuals were divided into four quarters according to the GRACE score. It was determined that individuals with the highest GRACE score were very underweight or morbidly obese according to their BMI values (p = 0.04).

It has been observed that there is a U-shaped relationship between the GRACE score and the BMI in individuals diagnosed with ACS. The risk of death of ACS patients with very high or very low BMI values was found to be close to each other. Although there is a relationship between BMI and GRACE score, it is concluded that it is insufficient to determine the risk in coronary disease alone, and body fat distribution should be examined together with BMI.

The purpose of this paper is to provide a transcript of a dialogue among literacy educators and researchers on the impact of generative aritficial intelligence (AI) in the field. In the spring of 2023, a lively conversation emerged on the National Council of Research on Language and Literacy (NCRLL)’s listserv. Stephanie initiated the conversation by sharing an op-ed she wrote for Atlanta Journal-Constitution about the rise of ChatGPT and similar generative AI platforms, moving beyond the general public’s concerns about student cheating and robot takeovers. NCRLL then convened a webinar of eight leading scholars in writing and literacies development, inspired by that listerv conversation and an organizational interest in promoting intergenerational collaboration among literacy scholars.

As former doctoral students of two of the panel participants, webinar facilitators Grace and Victoria positioned themselves primarily as learners about this topic and gathered questions from colleagues, P-16 practitioners and those outside the field of education to assess the concerns and wonderings that ChatGPT and generative AI have raised. The following webinar conversation was recorded on two different days due to scheduling conflicts. It has been merged and edited into one dialogue for coherence and convergence.

Panel participants raise a host of questions and issues that go beyond topics of ethics, morality and basic writing instruction. Furthermore, in dialogue with one another, they describe possibilities for meaningful pedagogy and critical literacy to ensure that generative AI is used for a socially just future for students. While the discussion addressed matters of pedagogy, definitions of literacy and the purpose of (literacy) education, other themes included a critique of capitalism; an interrogation of the systems of power and oppression involved in using generative AI; and the philosophical, ontological, ethical and practical life questions about being human.

This paper provides a glimpse into one of the first panel conversations about ChatGPT and generative AI in the field of literacy. Not only are the panel members respected scholars in the field, they are also former doctoral students and advisors of one another, thus positioning all involved as both learners and teachers of this new technology.

This study draws parallels between the Major and Johnson eras to reclaim a discursive space beyond the media and political battlefields to examine long-term systemic failure of government PR.

As part of a wider study into government communications from 1979 to date, this paper draws on evidence from government archives from the 1990s, as well as contemporary accounts, official documents, media accounts, memoirs and biographies, to examine the PR record of two Conservative administrations divided by three decades.

News management during the Major premiership is worth serious scrutiny, not just as an interlude between two media-friendly Prime Ministers, Thatcher and Blair, but in comparison to Boris Johnson's struggle to contain the news narrative between 2019 and 2022. Both administrations experienced terminal reputational crises during their closing years but their means of managing the news were counter-productive and damaging to public trust (65).

Does this failure in public communication illustrate a systemic dysfunction in government-media relations and, if so, what is the role of government PR in these circumstances?

This article uses a comparison between fixed and moving variables associated with two very different administrations to identify the causes of ongoing systemic failure in government communication.

Like every generation before them, Gen Zers possess a specific set of attributes. For example, they identify as loyal, thoughtful, compassionate, and responsible. They share their sense of ingenuity and resourcefulness with their Gen X parental generation and embrace diversity and inclusion like their older millennial counterparts. And, they connect with their baby boomer grandparents with their shared sense of responsibility. Generation Z is motivated by achievement and making a difference. Although some believe others will let them down, the majority are optimistic about their futures and believe good things will happen for them.

This chapter reviews identity, culture, and Indigeneity, examining indigenous research pathways as a decolonizing research method. In this context, the chapter explores indigenous research challenges. It explores phenomenology of practice, reflexive ethnography, and grounded theory as possible research methods to advance indigenous studies and help decolonize research methods.

The purpose of this study to examine the factors that encourage/inhibit Muslim behavior in buying halal-certified food (HCF), based on two theories, the knowledge-attitude-behavior model and the attitude-behavior-context model; and study the impact of trust and perceived risk on Muslim behavior in buying HCF, and their role in moderating the relationship between halal awareness and religious commitment with Muslim behavior in buying HCF.

The research population target is Muslims aged 18 years or older who reside in Greater Jakarta and have purchased certified halal food at least once in the past month. The survey method is a self-administered survey using a purposive sampling technique. The online survey has been successful in getting 283 Muslim respondents. In analyzing the causal relationship and hypothesis testing, this research uses the partial least square – structural equation model.

This study reveals several results: attitude, halal awareness, religious commitment, trust and perceived risk have a significant influence on the frequency of Muslims buying HCF. Attitude mediates the impact of halal awareness, religious commitment and trust on the frequency of Muslims buying HCF; perceived risk and trust moderate the relationship between religious commitment and the frequency of Muslims buying HCF.

Research on halal food is still limited, including in Indonesia. Meanwhile, the study explores the actual behavior of consumers, particularly in a certified halal food context, which is still rare in the existing literature. At the same time, the intention-behavior gap can lead to wrong decisions. Furthermore, this study also studies how Muslims feel when they consume foods that are not certified as halal. Research like this has an immense opportunity to be developed because not many have been developed.