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In countries where the electronic levy (e-levy) has been implemented, one question that resonates with the populace is, “how much would you want to pay for e-levy per transaction?” In response, varied perspectives have been shared with no convergence. Against this background, this study seeks to estimate people's willingness to pay (WTP) for electronic transaction levy in Ghana, while analysing the associated determinants.

This study relies on a survey of 2,810 respondents obtained from February 9 to 16, 2022 in Ghana. A multivariate logit model was estimated with its marginal effects. Further, a robustness check was undertaken using the linear probability model to validate the results.

With respect to the sample, the authors find evidence that approximately 46% of the respondents are not willing to pay any amount per transaction for the e-levy. Second, about 21% of the respondents are willing to pay Ghs0.5% as e-levy per transaction. Furthermore, about 10% of the respondents are willing to pay 1% per transaction as e-levy. Those who indicated that they would pay rates above 1% (specifically, 1.50%–1.75%) per transaction are less than 5%. For flat rates, approximately 10% of the respondents were willing to pay Ghs5 per month for all transactions above Ghs100. All others who are interested in other flat rates together are less than 5% of the respondents. The key statistically significant determinants of the probability that an individual would be willing to pay for the e-levy are also provided. This study recommends a comprehensive dialogue between the government and all stakeholders to reach a reasonable conclusion on an acceptable e-levy rate and by extension, implementation strategies.

To the best of the researchers' knowledge, this is the first empirical study that estimates individuals' willingness to pay for e-levy on electronic transactions in a developing country.

This paper aims to estimate the determinants of the intensity of use of financial inclusion by households in Ghana.

Due to the reality of a household using one or more financial products or services, this study uses the generalised Poisson model applied to GLSS6 and GLSS7 data collected in 2012/2013 and 2016/2017 respectively, to estimate the determinants of the intensity of use of financial inclusion. To deepen the analysis, a multinomial probit model is also applied.

Results show that infrastructural variables such as roads, public transport and banks stimulate the intensity of financial inclusion. In addition, agricultural development characteristics such as markets and cooperatives are essential for the intensity of inclusion.

There is a need to incorporate how many services or depth of services that people use as part of the conceptualisation of financial inclusion, as this can provide more policy-relevant evidence to enhance priority setting in financial inclusion policies. Also, micro-level financial inclusion studies in agrarian economies should consider exploring agricultural development and infrastructure variables in the modelling framework. As lead to further studies, count models of financial inclusion should consider exploring cross-country analysis, the use of panel data, or other methodological approaches to provide more robust evidence.

Previous studies have not modelled financial inclusion based on a count model as a means of measuring intensity though conceptualisations highlight the fact that people use varied financial products or services. Following from this angle, to the best of the authors’ knowledge, this study provides the first attempt at analysing the underlying determinants of the number of financial products or services used by households.

Autism spectrum conditions (ASC) and borderline personality disorder (BPD) have overlapping symptom profiles. Dialectical behaviour therapy (DBT) is an established treatment for self-harm and BPD, but little research has investigated the outcomes of DBT for ASC populations. This exploratory service evaluation aims to investigate the outcomes of a comprehensive DBT programme for adolescents with a diagnosis of emerging BPD and a co-occurring ASC diagnosis as compared to those without an ASC diagnosis.

Differences from the start to end of treatment in the frequency of self-harming behaviours, BPD symptoms, emotion dysregulation, depression, anxiety, the number of A&E attendances and inpatient bed days, education and work status, and treatment non-completion rates were analysed for those with an ASC diagnosis, and compared between those with an ASC diagnosis and those without.

Significant medium to large reductions in self-harming behaviours, BPD symptoms, emotion dysregulation and inpatient bed days were found for those with an ASC diagnosis by the end of treatment. There were no significant differences between those with an ASC and those without in any outcome or in non-completion rates. These findings indicate that DBT may be a useful treatment model for those with an ASC diagnosis, though all results are preliminary and require replication.

To the best of the authors’ knowledge, this is the first study to report the outcomes of a comprehensive DBT programme for adolescents with an ASC diagnosis, and to compare the changes in outcomes between those with a diagnosis and those without.

Following the surge of documents laying out organizations' ethical principles for their use of artificial intelligence (AI), there is a growing demand for translating ethical principles to practice through AI governance (AIG). AIG has emerged as a rapidly growing, yet fragmented, research area. This paper synthesizes the organizational AIG literature by outlining research themes and knowledge gaps as well as putting forward future agendas.

The authors undertake a systematic literature review on AIG, addressing the current state of its conceptualization and suggesting future directions for AIG scholarship and practice. The review protocol was developed following recommended guidelines for systematic reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).

The results of the authors’ review confirmed the assumption that AIG is an emerging research topic with few explicit definitions. Moreover, the authors’ review identified four themes in the AIG literature: technology, stakeholders and context, regulation and processes. The central knowledge gaps revealed were the limited understanding of AIG implementation, lack of attention to the AIG context, uncertain effectiveness of ethical principles and regulation, and insufficient operationalization of AIG processes. To address these gaps, the authors present four future AIG agendas: technical, stakeholder and contextual, regulatory, and process. Going forward, the authors propose focused empirical research on organizational AIG processes, the establishment of an AI oversight unit and collaborative governance as a research approach.

To address the identified knowledge gaps, the authors present the following working definition of AIG: AI governance is a system of rules, practices and processes employed to ensure an organization's use of AI technologies aligns with its strategies, objectives, and values, complete with legal requirements, ethical principles and the requirements set by stakeholders. Going forward, the authors propose focused empirical research on organizational AIG processes, the establishment of an AI oversight unit and collaborative governance as a research approach.

For practitioners, the authors highlight training and awareness, stakeholder management and the crucial role of organizational culture, including senior management commitment.

For society, the authors review elucidates the multitude of stakeholders involved in AI governance activities and complexities related to balancing the needs of different stakeholders.

By delineating the AIG concept and the associated research themes, knowledge gaps and future agendas, the authors review builds a foundation for organizational AIG research, calling for broad contextual investigations and a deep understanding of AIG mechanisms. For practitioners, the authors highlight training and awareness, stakeholder management and the crucial role of organizational culture, including senior management commitment.

By engaging levels of W/writerliness, this paper aims to identify how English Language Arts teachers’ personal and professional W/writerly identities impact their performance of pedagogical agency.

In this narrative inquiry, the author draws on theories of writing identity and agency to analyze how four mid-career English teachers’ personal beliefs around writing intersect with their professional practice. Data sources include interviews, journal entries and classroom observations.

Nuanced differences in teachers’ W/writerly identities produce more substantial differences in their pedagogy, especially impacting their performance of agency to (re)define successful writing outcomes and to balance process and product in their writing instruction.

This paper presents one method to expand preservice and in-service English Language Arts (ELA) practitioners’ approaches to teaching writing even alongside limitations of their teaching context by (1) emphasizing their ownership over their own writing in university methods courses; (2) leading teachers on an exploration of W/writerly identities; and (3) investigating ways teachers can transfer their personal and professional learning to students via their own pedagogical agency.

The study extends the work of scholars in the National Writing Project, suggesting that nuanced exploration of ELA teachers’ W/writerly identities in preservice and in-service settings could increase their sense of agency to work against and within cultures of standardization.

In the channel-mix era, the customer journey involves combining channels during all the stages of the decision-making process, such that creating and maintaining relationships with consumers poses a challenge to retailers. This work aims to explore what role brands play in this issue by analyzing what impact the perceived benefits of brand channel-mix have on consumer self–brand connection (SBC) and what their effect is in enduring consumer–brand relationships (i.e. future channel-mix use and word of mouth [WOM]). This paper also explores the moderating role of product involvement in these relations.

The authors carried out a personal questionnaire with a sample of 288 consumers who were recruited after leaving one of the stores of a clothing brand that is a successful example of distribution channel management.

Insofar as consumers perceive channel-mix benefits, SBC will be higher and (or as a result) their future intentions with the brand will be more intense. In addition, the results show that product involvement moderates the relationship between SBC and channel-mix use intention and WOM.

This work contributes to channel-mix, relationship marketing, brand and product involvement literature by analyzing how customers may be retained in the channel-mix era through brand management and by considering product category involvement. This study merges brand and product variables to explore their impact on relationship marketing within channel-mix behaviors.

This study holistically and systematically consolidates the available research on digital reading to reveal the research trends of the past 20 years. Moreover, it explores the thematic evolution, hotspots and developmental characteristics of digital reading. This study, therefore, has the potential to serve as a research guide to researchers and educators in relevant fields.

The authors applied a bibliometric approach using Derwent Data Analyzer and VOSviewer to retrieve 2,456 publications for 2003–2022 from the Web of Science (WoS) database.

The results revealed that most studies' participants were university students and the experimental methods and questionnaires were preferred in digital reading researches. Among the influential countries or regions, institutions, journals and authors, the United States of America, University of London, Electronic Library and Chen, respectively, accounted for the greatest number of publications. Moreover, the authors identified the developmental characteristics and research trends in the field of digital reading by analyzing the evolution of keywords from 2003–2017 to 2018–2022 and the most frequently cited papers by year. “E-books,” “reading comprehension” and “literacy” were the primary research topics. In addition, “attention,” “motivation,” “cognitive load,” “dyslexia,” “engagement,” “eye-tracking,” “eye movement,” “systematic analysis,” “meta-analysis,” “smartphone” and “mobile reading/learning” were potential new research hotspots.

This study provides valuable insights into the current status, research direction, thematic evolution and developmental characteristics in the field of digital reading. Therefore, it has implications for publishers, researchers, librarians, educators and teachers in the digital reading field.

We conducted a systematic review to explore the potential for the application of blockchain technologies for supply chain resilience in a small-scale agri-food business context.

As part of the research methodology, scientific databases such as Web of Science, Google Scholar and Scopus were used to find relevant articles for this review.

The systematic review of articles (n = 57) found that the use of blockchain technology in the small-scale agri-food business sector can reduce the risk of food fraud by assuring the provenance of food products.

Only a few papers were directly from a small-scale agribusiness context. Key challenges that limit the implementation of blockchain and other distributed ledger technologies include concerns over the disclosure of proprietary information and trade secrets, incomplete or inaccurate information, economic and technical difficulties, low levels of trust in the technology, risk of human error and poor governance of process-related issues.

The application of blockchain technology ensures that the risks and costs associated with non-compliance, product recalls and product loss are reduced. Improved communication and information sharing can increase resilience and better support provenance claims and traceability. Better customer relationships can be built, increasing supply chain efficiency and resilience.