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This paper aims to explore pathways in which adaptation challenges may occur. Focus is on the barriers to adaptation, challenges to adaptation and maladaptation with reference to smallholder farmers in the Southern African Development Community region.

Bibliometric analysis techniques were used to track the literature on smallholder farmers’ adaptation challenges. Web of Science was the main data source. A total of 41 articles were retained for analysis and exported into Visualization of Similarities Viewer Software where the development of research on the subject, co-occurrence of keywords analysis, top publishers, citations and total link strength was done.

Results indicate that research on smallholder farmers’ adaptation challenges is not new but has gained more consideration post-2020. The main adaptation challenges emanate from perception barriers and constraints based on determinants of adoption, limitations for resilience building and achieving sustainable adaptation as well as contestations around Climate Smart Agriculture technologies.

Effective design of adaptation policies should center on prioritizing the needs of the local people. This would reduce the occurrences of smallholder farmers’ adaptation challenges, promote resilience building and contribute toward achieving sustainable adaptation.

It is equally important to document adaptation challenges. However, adaptation challenges are rarely shared with the same enthusiasm as its successes. This work focuses on the matter with the intention of conscientizing smallholder farmers to reduce the risk of repeating the same adaptation mistakes.

Gravity models and analogue store approaches are inadequate in predicting purchases in neighbourhood stores. This requires a new theoretical and empirically tested approach.

We use the Theory of Planned Behaviour (TPB) to determine which factors predict the choice for a new neighbourhood store. We develop a suitable model using a structural equation model with survey data from two cases in which all households in the catchment areas were surveyed both before and after the store opened.

We find the TPB to be appropriate for predicting store choice. Beliefs about one-stop shopping, social pressure from family members and car availability are most important in explaining the intention to shop in the planned store. These factors also explain the actual shopping in this store after opening.

Our model predicts store choice before a store opens. Using a two-wave survey, we avoid ex-post rationalisation and show that, at least in our cases, quality, price and assortment do not predict store choice.

This study undertook a systematic literature review of consumers’ information and knowledge sharing (I&KS) in digital scenarios, as it is an expanding thematic area that differs from other consumer behavior and has been underexplored.

Following the PRISMA philosophy, we identified I&KS-related studies in the Scopus database based on a search term chain determined through an exploratory study. Additional inclusion and exclusion criteria were applied, and studies were manually filtered. An input–process–output type model was used to manually review and systematize the literature. Then, a second content analysis was conducted using artificial intelligence (AI) tools.

Based on 51 relevant articles, this study characterized the I&KS research field as multidisciplinary through quantitative methods. Based on an input–process–output consumer behavior model and content analysis, this study systematized existing knowledge and revealed that most knowledge encompassed the influence of personal and psychological consumer characteristics. Additionally, based on AI tools applied to the full texts of the relevant articles, five thematic clusters emerged, largely coinciding with the input–process–output model used. Finally, future research avenues and recommendations for business and organizational practices were identified.

This study fills the gap in consumer studies by systematically reviewing I&KS, a developing field, as no prior research has addressed this topic systematically.

Through the review of several journal articles on the adoption of information and communication technologies (ICTs) and how it impacts students’ motivation to continue with their studies or to drop out of their academic program, this study aims to review the literature on the impact of ICTs on student motivation at a university.

This paper is based on a systematic literature review steered by the PRISMA guidelines. This paper uses both Durban University of Technology subscription-based and publicly available papers. The research articles examined were published between 2018 and 2023 in Scopus, Web of Science and ScienceDirect.

Reviewed literature bespeaks that ICTs can increase student motivation by enhancing interactive, engaging and individualized learning. Digital technologies that engage students and offer a more engaging learning environment include instructional apps, online simulations and multimedia content. Using ICTs may be useful in lowering university dropout rates.

The systematic review yielded valuable insights for both academic research and real-world applications in education regarding the Durban University of Technology. The study offers a comprehensive analysis of the nexus between ICTs and student motivation.

Manufacturing companies still struggle to integrate additive manufacturing (AM) technologies with existing traditional manufacturing technologies. This paper explores AM technology integration into a global manufacturing company from an operational capability perspective.

The research was conducted using a single case study in collaboration with a global heavy-duty vehicle manufacturer. Data were collected through a focus group and interviews representing management and engineering roles. Additional data were collected from meetings, company documents, field notes and observations. Subsequently, the collected data were analyzed thematically.

The findings reveal that, despite the company embarking on its AM technology integration journey, it encountered challenges, including cognitive fixation, manufacturing fixation, situational awareness, ambiguous ownership and the make-or-buy dilemma. Furthermore, the findings showed that the company developed operational capabilities – such as developing proficiency in AM know-how, continuous use of AM technology, operational practices for AM technology, cross-collaboration for AM initiatives and business cases for AM technology – to address these challenges. A facilitation model was developed, outlining essential actions prioritized for the short-term, mid-term and long-term. These actions leverage the operational capabilities to address challenges in AM technology integration.

This paper offers an in-depth exploration of AM technology integration in a global heavy-duty vehicle manufacturer. It introduces a novel application of operational capability theory and proposes a facilitation model for managers and academics in pursuit of achieving AM technology integration.

This study aims to delve into the role that telehealth plays in mitigating health inequities faced by forcibly displaced Ukrainians amidst the ongoing conflict.

A retrospective cross-sectional study design was implemented, using data procured from the electronic health records of the Likarnya online project. The research approach integrated descriptive statistics, visual data representations and inferential analyses, including chi-square tests, odds ratio calculations and logistic regression tests.

The analysis revealed a predominance of female users (77.1%) and a high prevalence of health-care access barriers (69.7%). General practice/internal medicine consultations constituted the majority of referrals (72.93%), with a notable 78.66% of cases achieving closure. A significant prevalence rate was observed concerning chronic conditions relative to acute presentations. Statistical analyses uncovered significant associations between case severity and health-care access barriers, with moderate and severe cases demonstrating elevated odds of encountering obstacles to care. Age emerged as a crucial predictor of health-care access difficulties, highlighting the particular vulnerabilities faced by older displaced individuals.

This study highlights the potential of telemedicine in reducing health-care access disparities of displaced populations in conflict zones. Furthermore, this study brings to light pivotal insights concerning demographic and clinical variables that influence patterns associated with health-care services attainability. These findings serve as a clarion call for targeted interventions explicitly tailored for older individuals and those with severe health conditions. Hence, the findings provide a foundation upon which forthcoming academic endeavours alongside strategic policy formulation may be constructed.

In developing countries, informal construction artisans are vital to economic growth. Governments encourage enrolment into micro health insurance schemes to sustain artisans’ well-being and achieve universal health coverage. The peculiarity associated with the informal construction artisans may hinder the scheme enrolment, particularly in Nigeria. It may threaten to improve achieving sustainable development goal 3 (good health and well-being). This study investigated the level of awareness and causes and suggested measures to improve micro health insurance policy enrolment for construction artisans in the informal sector and, by extension, improve the achievement of Goal 3.

This study adopted face-to-face interviews to collect data in Lagos and Benin City, Nigeria. The researchers engaged 40 participants and achieved saturation at the 35th participant. The researchers manually analysed the collected data and reported the findings using the thematic approach.

Results showed low enrolment of informal sector construction artisans into micro health insurance schemes and identified the contributory factors. This includes poor awareness and poor funding of micro health insurance schemes, lax expertise and understanding of the micro insurance market space, extreme poverty, poor medical services, uneducated clients/customers/consumers, etc.

As part of the study’s implications, it recommends that the government invest more in social health for the informal sector’s low-income earners to enhance accomplishing universal health coverage and, by extension, improve achieving Goal 3. This study may stir policymakers to call for a review of the National Health Insurance Authority Act 2022 with implementable and enforceable clauses to reduce uninsured informal sector construction artisans.

Automated social media messaging tactics can undermine trust in health institutions and public health advice. As such, we examine automated software programs (ASPs) and social bots in the Twitter anti-vaccine discourse before and after the release of COVID-19 vaccines.

We compare two Twitter datasets comprising user accounts and associated English-language tweets featuring the keywords “#antivaxx” or “anti-vaxx.” The first dataset, from 2018 (pre-COVID vaccine), includes 3,154 user accounts and 6,380 tweets. The second comprises 327,067 accounts and 545,268 tweets published during the 12 months following December 1, 2020 (post-COVID vaccine). Using Information Laundering Theory (ILT), the datasets were examined manually and through user analytics and machine learning to identify activity, visibility, verification status, vaccine position, and ASP or bot technology use.

The post-COVID vaccine dataset showed an increase in highly probable bot accounts (31.09%) and anti-vaccine accounts. However, both datasets were dominated by pro-vaccine accounts; most highly active (59%) and highly visible (50%) accounts classified as probable bots were pro-vaccine.

This research is the first to compare bot behaviors in the “#antivaxx” discourse before and after the release of COVID-19 vaccines. The prevalence of mostly benevolent probable bot accounts suggests a potential overstatement of the threat posed by anti-vaccine accounts using ASPs or bot technologies. By highlighting bots as intermediaries that disseminate both pro- and anti-vaccine content, we extend ILT by identifying a benevolent variant and offering insights into bots as “pathways” to generating mainstream information.

This paper presents a reflection in memory and tribute to the work and life of Professor Barbara Czarniawska (1948–2024).

We invited those colleagues whom we knew to be close to Barbara to submit reflections about her contributions to academia alongside their memories of her as a person. We present these reflections in the order we received them, and they have only been edited for minor grammatical and punctuation issues to preserve the voice of the contributing authors.

The reflections in this paper represent different translations of Barbara’s academic and theoretical contributions. However, she also contributed to people. While we can count the number of papers, books and book chapters she published, we must also count the number of co-authors, Ph.D. supervisions, visiting professorships and conference plenaries she touched. This (ac)counting tells the story of Barbara reaching out to work and interact with people, especially students and early career researchers. She touched their lives, and the publications are an artefact of a human being, not an academic stuck in an ivory tower.

A paper in Barbara Czarniawska’s honour where some of her closest colleagues can leave translations of her work through a narrative reflection, seems to be a fitting tribute.

The objective of this study is to investigate the impact of the COVID-19 pandemic on the consumer payment behavior in Italy by correlating financial literacy with digital payment awareness, examining media anxiety and financial security, and including a gender analysis.

Consumers’ attitudes toward cashless payments were investigated using an online survey conducted from November 2021 to February 2022 on a sample of 836 Italian citizens by considering the behavioral characteristics and aspects of financial literacy. Structural equation modeling (SEM) was used to test the hypotheses and to determine whether the model was invariant by gender.

The analysis showed that the fear of contracting COVID-19 and the level of financial literacy had a direct influence on the payment behavior of Italians, which was completely different in its weighting. Fear due to the spread of news regarding the pandemic in the media indirectly influenced consumers’ noncash attitude. The preliminary results of the gender multigroup analysis showed that cashless payment was the same in the male and female subpopulations.

This research is noteworthy because of its interconnected examination. It examined the effects of the COVID-19 pandemic on people’s payment choices, assessed their knowledge, and considered the influence of media-induced anxiety. By combining these factors, the study offered an analysis from a gender perspective, providing understanding of how financial behaviors were shaped during the pandemic.