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This study aims to explore browsing extension plugins for searching open scholarly literature and gain an understanding of the various available extensions, their functionalities and their benefits.

Instant retrieval of scholarly literature on the internet is challenging for any researcher due to incredibly accessible free and paid content, including various forms of resources, despite the availability of federated and discovery tools. This paper aimed to explore “Access Broker Browser extensions” available for quick retrieval of open scholarly literature. This paper explicitly explains browser extensions – Google Scholar Button, Open Access Button, Open Access Helper, Core, GetFTR and EndNote Click. Furthermore, the paper elaborated on the extension’s features, functionalities and usability in finding scholarly literature. This study found that the Google Scholar Button and GetFTR extensions seems more user-friendly, effective and easy to use on all internet browsers.

This paper identifies that the “Google Scholar Button” and “GetFTR” browser extensions are more effective than any other extensions and very user-friendly to use.

This study recommends that libraries should create awareness and provide training on access broker browser extensions for discovering scholarly open literature for learning.

Compared to typical brand extension research focusing on functional and symbolic attributes, this paper aims to examine brand extensions based on a brand's primary sensory attributes. Specifically, this paper investigates the interplay between brand equity and primary sensory attributes in shaping consumers' evaluations of brand extensions.

This study investigates the impact of primary or central sensory attributes on brand extension evaluations for brands with differing brand equities. The authors conducted two experiments preceded by seven pretests to develop and validate the stimulus materials. The authors aim to contribute to understanding how sensory and brand-related factors influence consumers' evaluations of brand extensions.

In these experiments, the authors find that a parent brand's central/dominant sensory attribute allows the parent brand to successfully extend into functionally unrelated categories. For example, Dove’s central attribute of touch allows it to extend successfully into categories such as towels and shaving razor. However, it does not perform as well as Irish Spring (known for smell) in categories such as cologne and scented fabric softener, where Irish Spring's central attribute of smell is more relevant. Interestingly, Irish Spring, a lower equity brand, outperforms Dove in smell-related extensions, indicating that sensory attributes can counter the impact of lower brand equity if the sensory attribute is relevant to the extension category.

This study investigates brand extensions based on sensory attributes such as smell and touch instead of typical brand extensions based on functional and symbolic attributes. In particular, the authors examine whether the perceived fit between the parent brand’s dominant sensory attribute and the extended category (i.e. sensory fit) is more important than the parent brand's equity in the evaluation of brand extensions.

This study explores the influence of heritage brand extension on consumer purchase intention and analyses the effects of pop culture involvement. The extension of heritage brands is becoming increasingly difficult because such an extension needs to be consistent with the unique characteristics of brands and resonate with consumers. However, few scholars discuss the influence of consumers' level of pop culture involvement on brand extension and purchasing behaviour.

Taking time-honoured brands as an example, this study established a conceptual model based on a comprehensive review of the literature, and then tested the model using a sample of 255 respondents who were familiar with one of the selected Chinese time-honoured brands. Structural equation modelling was used to analyse the relationships amongst brand extension fit, pop culture involvement, perceived value and purchase intention.

Time-honoured brand extension fit has a positive impact on consumer purchase intention, and this path is significantly influenced by the mediation mechanisms of perceived value. Situational pop culture involvement can significantly strengthen the relationship between time-honoured brand extension fit and perceived value, whereas enduring pop culture involvement does not.

The results clarify and expand on the different roles of cultural involvement in time-honoured brands and broaden research on the influence of cultural involvement in this regard. This study has significant theoretical value for the inheritance and revival of heritage brands and provides a reference for the practice of time-honoured brands.

Despite the prevalence of luxury brand extension in the service industry, customers tend to be skeptical of the value of the extended brand. This study aims to investigate whether a parent luxury service brand significantly alters customers’ predicted quality, identity and attitude toward the extended brand.

This study uses partial least squares structural equation modeling to examine the proposed hypotheses in a developing country.

The results show that the parent brand’s brand distinctiveness positively and significantly signals the identity and quality of the extended brand. The model also identifies the mediating effects of quality as it signals the relationship between customers’ perception of the parent brand and attitude toward the extended service brand. As expected, as the quality of the extended brand improves, so does attitude toward the extended hotel brand. By contrast, the perceived identity of the extended brand does not significantly increase support for a positive attitude toward the extended brand.

This study contributes to the existing consumer marketing literature by suggesting future research directions and brand extension strategies for luxury hotel brand companies in developing countries.

This study aims to investigate the determinants of the food security status of participants and non-participants of livestock extension services living under similar socioeconomic conditions as livestock farming households in the Feed the Future zone of Bangladesh.

Cross-sectional data of 906 farm-households extracted from a total of 2064 from the Feed the Future representative Bangladesh Integrated Households Survey 2018 were used. A triple hurdle model combined with a structural equation model were used to analyze the data. The causal relationship between food security status, livestock extension services, technology adoption and women's empowerment was investigated by estimating structural equation modeling with second-order latent factors.

The results indicate that livestock extension services have increased livestock technology adoption and have a positively significant (p < 0.01) relationship with household wealth, food security, welfare and women's empowerment.

The results suggest that livestock extension services have an impact on new technology adoption and enhancing women's empowerment; thus, the services should be widely made available in the region.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2021-0647.

Various models and approaches are implemented to provide technical assistance and support to improve cocoa farmers' welfare in Ghana. The Farmer Business School (FBS), which is analogous to Farmer Field School (FFS), is one of the few initiatives of GIZ (Deutsche Gesellschaft für Internationale Zusammenarbeit) and Ghana Cocoa Board (COCOBOD). The main aim of the initiative is to train smallholder cocoa farmers to perceive cocoa production as a business. However, there is limited or conflicting evidence as to the effect of FBS on productivity and food security, especially in Ghana. This study assessed FBS participation and the participation's impact on productivity and food security of cocoa farmers.

The study used primary data collected from 542 cocoa farmers in Central and Western North regions of Ghana and employed descriptive statistics, perception index and Endogenous Switching Regression (ESR) as analytical tools.

The results, which reported an overall perception index of 0.7, indicated that the farmers had a strong positive perception on the FBS program. The results also showed that sex of a farmer, number of years of formal education, farm size, extension contact, perception, distance to extension outlet and membership of farmer-based organizations (FBOs) significantly influenced the decision to participate in FBS program. Also off-farm income, years of education and household size significantly influenced farm productivity and household food security. The results further showed that participation in FBS improved productivity and food security of cocoa farmers.

The study used data from two regions of Ghana, namely the Central region and the Western North region. Findings from studies using data covering all cocoa growing areas of Ghana could be more informative in formulating policies aimed at encouraging participation in FBS and consequently help improve cocoa productivity and food security.

This article offers insights into the welfare effects of FBS on cocoa farmers as previous similar studies are without this information.

New product introductions, particularly line extensions (LEs), are common in consumer goods categories. Despite their commonality, the success of LEs are not guaranteed. The purpose of this study is to provide brands that introduce LEs a benchmark about what success to expect.

This study investigates the success of 36,994 LEs in each quarter for the first three years after introduction. Four indicators are calculated using consumer panel data to benchmark how long LEs survive (failure rate), how competitive they are in the category (market share) and how they are adopted by category buyers (penetration and repeat buyer rate).

Most LEs survive after the first year, but many cease to exist or perform well in the long term. Around 50% of LEs fail a year after launch, but this failure rate halves once seasonal LEs are removed. Failure rates start to approach 80% after three years. Most LEs do not perform better than existing products. Around three in four LEs have a market share or penetration near or below the category norm. Although this percentage decreases the longer after launch, most LEs are still below the category norm.

These new product success benchmarks provide guidelines to practitioners about what success the “typical” LE will achieve. This research can help guide new product investment decisions because it provides context on what is feasible to achieve.

Four market success measures are used, a departure from past benchmarking research which uses practitioner evaluation on metrics seldom used in practice. The authors provide guidelines about when and how to measure LE and new product success more broadly.

The purpose of this work is to explore the new possibilities enabled by the recent introduction of RDF-star, an extension that allows for statements about statements within the Resource Description Framework (RDF). Alongside Named Graphs, this approach offers opportunities to leverage a meta-level for data modeling and data applications.

In this extended paper, the authors build onto three modeling use cases published in a previous paper: (1) provide provenance information, (2) maintain backwards compatibility for existing models, and (3) reduce the complexity of a data model. The authors present two scenarios where they implement the use of the meta-level to extend a data model with meta-information.

The authors present three abstract patterns for actively using the meta-level in data modeling. The authors showcase the implementation of the meta-level through two scenarios from our research project: (1) the authors introduce a workflow for triple annotation that uses the meta-level to enable users to comment on individual statements, such as for reporting errors or adding supplementary information. (2) The authors demonstrate how adding meta-information to a data model can accommodate highly specialized data while maintaining the simplicity of the underlying model.

Through the formulation of data modeling patterns with RDF-star and the demonstration of their application in two scenarios, the authors advocate for data modelers to embrace the meta-level.

With RDF-star being a very new extension to RDF, to the best of the authors’ knowledge, they are among the first to relate it to other meta-level approaches and demonstrate its application in real-world scenarios.

A correlation has been shown in the literature between credit constraints and the adoption of agricultural technologies, technical efficiencies and measures for adapting to climate change. The relationship between credit constraints, risk management strategy adoption and income, however, is not well understood. Consequently, the purpose of this study was to investigate how credit constraints affect the income and risk management practices adopted by Northern Nigerian maize farmers.

Cross-sectional data were collected from 300 maize farmers in Northern Nigeria using a multi-stage sampling technique. Descriptive statistics, seemingly unrelated regression and double hurdle regression models were the analysis methods.

The results showed that friends and relatives, banks, “Adashe”, cooperatives and farmer groups were the main sources of credit in the study area. The findings also revealed that the sources of risk in the study area included production risk, economic risk, financial risk, institutional risk, technological risk and human risk. In addition, the risk management strategies used to mitigate observed risks were fertilizer application, insecticides, planting of disease-resistant varieties, use of herbicides, practising mixed cropping, modern planning, use of management tools as well as making bunds and channels. Furthermore, we found that interest rate, farm size, level of education, gender and marital status were significant determinants of statuses of credit constraints while the age of the farmer, gender, household size, primary occupation, access to extension services and income from maize production affected the choice and intensity of adoption of risk management strategies among the farmers.

The study concluded that credit constrained status condition of farmers negatively affected the adoption of some risk management strategies and maize farmers’ income.

The study concluded that credit constrained status condition of farmers negatively affected the adoption of some risk management strategies and maize farmers’ income. It therefore recommends that financial service providers should be engaged to design financial products that are tailored to the needs of smallholder farmers in the study area.

This paper incorporates the role of constraints in influencing farmers’ decisions to uptake credits and subsequently their adoption behaviours on risk management strategies. The researcher approached the topic with a state-of-the-art method which allows for obtaining more reliable results and hence more specific contributions to research and practice.

Reynolds-averaged Navier–Stokes (RANS) models often perform poorly in shock/turbulence interaction regions, resulting in excessive wall heat load and incorrect representation of the separation length in shockwave/turbulent boundary layer interactions. The authors suggest that this can be traced back to inadequate numerical treatment of the inviscid fluxes. The purpose of this study is an extension to the well-known Harten, Lax, van Leer, Einfeldt (HLLE) Riemann solver to overcome this issue.

It explicitly takes into account the broadening of waves due to the averaging procedure, which adds numerical dissipation and reduces excessive turbulence production across shocks. The scheme is derived based on the HLLE equations, and it is tested against three numerical experiments.

Sod’s shock tube case shows that the scheme succeeds in reducing turbulence amplification across shocks. A shock-free turbulent flat plate boundary layer indicates that smooth flow at moderate turbulence intensity is largely unaffected by the scheme. A shock/turbulent boundary layer interaction case with higher turbulence intensity shows that the added numerical dissipation can, however, impair the wall heat flux distribution.

The proposed scheme is motivated by implicit large eddy simulations that use numerical dissipation as subgrid-scale model. Introducing physical aspects of turbulence into the numerical treatment for RANS simulations is a novel approach.