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This study aims to examine the relationship between tool adoption and information literacy within smallholder farmers (SHFs).

A structured questionnaire was used to gather data for this quantitative study from 225 SHFs. Structural equation modelling was done to test the hypotheses.

The findings established that tool adoption dimensions (Information and communication technologies (ICT) acceptance, language use and information culture) positively and significantly influenced information literacy. Information culture had the strongest impact.

The study enriches the situated learning theory (SLT) literature by introducing tool adoption as a predictor of information literacy in a new context of SHFs. Use of tools as independent variables is a positive deviation from previous studies that have used them as mediating variables. Despite the contributions, the cross-sectional design study undermines the ability to solicit more detailed perspectives from the lived in experience of the respondents.

Managers should promote usage of context-specific tools like local radio stations and mobile phones, but also use language tailored to farmer contexts when disseminating information. Policymakers should leverage on social and cultural settings when designing information interventions.

The study highlights critical factors that significantly promote information use for improved productivity for SHFs, cumulatively increasing the country’s gross domestic product (GDP). Socially, findings may reduce on their poverty levels of farmers.

This study offers a novel perspective in information literacy domain by using the SLT to delineate contextual tools that are paramount in predicting of information literacy in an under research informal context of SHFs.

While previous operations management literature acknowledges the positive influence of Lean and Industry (I4.0) on performance, recent studies examining the synergy between these two factors have produced inconsistent and contradictory results. Therefore, this study aims to provide a comprehensive understanding of the effect of Lean and I4.0 synergy on firm performance.

This study utilised a meta-analysis approach, examining 23 empirical studies exploring multiple effects of the Lean and I4.0 synergy on firm performance. Multiple subgroup analyses were conducted to assess the contradictory outcomes and identify in what conditions such synergy may achieve performance.

The results affirm the prevailing positivist perspective among most scholars regarding the positive influence of the Lean and I4.0 synergy on firm performance. However, the overall effect size derived from the studies indicates a weak relationship, suggesting that this synergy alone is not the sole determinant factor of firm performance. In addition, the subgroup analyses reveal the presence of contingent conditions that may affect the performance outcomes when integrating Lean and I4.0, as most effects exhibit a weak relationship.

This study represents the first meta-analysis investigating the relationship between the Lean and I4.0 synergy on firm performance. By shedding light on the contradictory effects often depicted in the operations management literature, this study provides a critical reflection for researchers who tend to adopt an overly optimistic view of such synergy.

While Digitalisation is gaining momentum among practitioners and the scientific world, there is still a struggle to embark on the digitalisation journey successfully. The struggles are more significant for SMEs compared to large companies. Such transformation could face internal resistance, which evokes the need to put it into a socio-technical perspective such as lean. This paper investigates how SMEs could implement digital tools and technologies in their operations.

We relied on a multiple case study design in three SME manufacturing companies in Italy. Based on the experience of those companies, the struggles in the implementation and the lessons learned, we formulate an implementation model of digital tools driven by lean thinking.

Companies tend to implement first digital tools that help with real-time data collection and stress that introducing digital tools becomes challenging without reducing waste in production. The model stresses top management commitment, middle-line involvement and operator training to resist change. All these factors coincide with socio-technical lean bundles developed by seminal works. In addition, the study highlights that financial incentives are not necessarily the common barrier to digital tools implementation in SMEs but rather the cultural aspect.

Our paper enriches the extant body of knowledge by deriving knowledge around digitalisation implementation through lessons learned and corrective actions. It allows managers to benchmark and compare the current state of the implementation process with that of other companies and the one proposed to make corrective actions when necessary.

This study aims to analyze how the interplay between hard and soft elements of total quality management (TQM) produces the conditions for sustaining success in the quest for quality.

A qualitative analysis (Gioia method) was carried out on an original dataset collected through both direct and indirect methods (i.e. archival sources, interviews and observations) to generate a new interpretive framework.

The interpretative framework identifies four categories of elements: trigger elements create the starting conditions for a quality virtuous cycle; benchmarking tools set the standards of performance; improvement tools enable exploration of the space of possible alternative practices and finally, catalytic forces allow the institutionalization of effective techniques discovered in this search process into new standards.

The findings the authors present in this paper are derived by a single case study, limiting the generalizability of our results in other settings.

This study has three implications: first, the design of trigger elements is critical for the success of any TQM initiative; second, the interplay of improvement and benchmarking tools at several levels should be coherent and third, to exploit the potential of TQM, efforts should be devoted to the dissemination of new effective practices by means of catalyzing elements.

The model provides a more specific understanding of the nature and purpose of the hard and soft elements of TQM and the dynamic interaction between the two classes of elements over time.

Customization allows brands to provide goods that match customers’ preferences, but its impact on consumer–brand relationships is unclear. This study aims to examine the impact of two key moderators on the effectiveness of customization to enhance brand’s perceived partner quality, which mediates the relationship between customization and brand attitude.

Study 1 (n = 219) tests the moderated–mediation relationship, the effect of customization (IV) on perceived partner quality (mediator), and its indirect effect on brand attitude (DV), which is moderated by consumers’ self-construal orientation (Moderator 1). Study 2 (n = 416) extends the model tested in Study 1 by including an additional moderator, shopping task context (Moderator 2).

Results empirically demonstrate the impact of self-construal and shopping task context on the effectiveness of customization in improved customer–brand partner quality and eventual brand attitude.

Customization may not appeal to every customer for the same reason. Marketers must target customers’ individual traits (independents vs interdependents) and understand the context of the shopping task context (self-purchase vs gift-giving).

The work reveals how brands can enhance consumers’ perceptions of the brand by allowing them to customize the product. It is novel in demonstrating that customization is not just a fine-grained segmentation strategy but a brand building tool. It highlights contextual factors affecting the outcome of customization by demonstrating the conditions under which it is most effective.

Concept maps are popularly used within academic development spaces, especially to teach new concepts at beginner levels for undergraduate students. Their popularity is partly based on the fact that they employ visual tools such as charts, diagrams, pictures, tables, etc., to simplify concepts that students would otherwise consider dense. This paper reports on the findings of an extended orientation project conducted between February and June of 2022 with a small cohort of 15 first-year students registered in an entrepreneurship course at a vocational higher education institution in South Africa. The research question guiding this study is: How can concept maps inspire entrepreneurial thinking for first-year ECP students at a vocational institution in South Africa? Using Cultural-Historical Activity Theory (CHAT), I analysed the two iterations of the students' concept maps together with selected data from the focus group interviews. Key findings reported include the students' fuzzy knowledge of what entrepreneurship as a discipline entails, the planned career trajectories for most of the participating students, as well as indecisiveness as to whether the students will be pursuing entrepreneurship after graduation. In the language of CHAT, the above findings are described as presenting tensions between the subject, tool and object. This layer of analysis calls for an urgent re-think of how the students are recruited and orientated into the programme and how the curriculum is delivered at the first-year level.

This study aims to identify how literature has addressed sustainability reporting in universities over time and determine traceable patterns and trends.

A comprehensive systematic review protocol of the Emerald Insight, Web of Science, Science Direct, Scopus, Springer Link and Wiley Online Library databases was performed for the studies published during the past decade. The following steps were involved in this study: search and collection of literature, study selection, quality assessment, data extraction and data analysis. A total of 40 articles met the inclusion criteria and the quality assessment.

The results demonstrated that the most used tools to assist sustainability reporting in universities are the global reporting initiative framework and the graphical assessment of sustainability in universities. However, the adoption of the integrated reporting framework is encouraged. The level of reporting is not yet high, and social and educational indicators are being disclosed in the following areas: community, services and transfer; curriculum and teaching; operation; and research.

This study provides a recent overview of sustainability reporting worldwide. By discussing the findings, the authors presented the practical implications of starting a sustainability report at the university and the associated difficulties and benefits.

This study aims to explore how network visualization provides opportunities for learners to explore data literacy concepts using locally and personally relevant data.

The researchers designed six locally relevant network visualization activities to support students’ data reasoning practices toward understanding aggregate patterns in data. Cultural historical activity theory (Engeström, 1999) guides the analysis to identify how network visualization activities mediate students’ emerging understanding of aggregate data sets.

Pre/posttest findings indicate that this implementation positively impacted students’ understanding of network visualization concepts, as they were able to identify and interpret key relationships from novel networks. Interaction analysis (Jordan and Henderson, 1995) of video data revealed nuances of how activities mediated students’ improved ability to interpret network data. Some challenges noted in other studies, such as students’ tendency to focus on familiar concepts, are also noted as teachers supported conversations to help students move beyond them.

To the best of the authors’ knowledge, this is the first study the authors are aware of that supported elementary students in exploring data literacy through network visualization. The authors discuss how network visualizations and locally/personally meaningful data provide opportunities for learning data literacy concepts across the curriculum.

This study aims to look at challenges that hinder small- and medium-sized enterprises (SMEs) from using open data (OD). The research gaps identified are then used to propose a next generation of OD platform (ODP+).

This study proposes a more effective platform for SMEs called ODP+. A proof of concept was implemented by using modern techniques and technologies, with a pilot conducted among selected SMEs and government employees to test the approach’s viability.

The findings identify current OD platforms generally, and in Gulf Cooperation Council (GCC) countries, they encounter several difficulties, including that the data sets are complex to understand and determine their potential for reuse. The application of big data analytics in mitigating the identified challenges is demonstrated through the artefacts that have been developed.

This paper discusses several challenges that must be addressed to ensure that OD is accessible, helpful and of high quality in the future when planning and implementing OD initiatives.

The proposed ODP+ integrates social network data, SME data sets and government databases. It will give SMEs a platform for combining data from government agencies, third parties and social networks to carry out complex analytical scenarios or build the needed application using artificial intelligence.

The findings promote the potential future utilisation of OD and suggest ways to give users access to knowledge and features.

To the best of the authors’ knowledge, no study provides extensive research about OD in Qatar or GCC. Further, the proposed ODP+ is a new platform that allows SMEs to run natural language data analytics queries.