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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.

The purpose of this study was to explore the current transformative leadership values and beliefs of Cooperative Extension leaders. Specific research objectives included, (1) characterize Extension leaders’ beliefs regarding transformative leadership, and (2) determine differences in transformative leadership beliefs based on selected characteristics.

This exploratory study applied transformative leadership theory to examine the values and beliefs regarding equity, justice, and leading change held by leaders in the Cooperative Extension System. A sample of 138 administrators across the U.S. completed the Transformative Leadership Scale (TLS), which presents 32 contrasting statements representing dimensions of transformative leadership.

Results found the mean TLS score was 70.61 out of 100, indicating nascent awareness of equity concerns but substantial room for growth in fully embracing transformative leadership principles like social activism and egalitarian distribution of power. The score distribution skewed slightly left, with 16% possessing a highly transformative belief system, 71% demonstrating moderate awareness of equity issues, and 13% focused more on organizational efficiency over justice. Differences emerged based on diversity leadership roles and years of experience.

The findings establish an important baseline for aligning leadership development with Extension's mandate to champion inclusion and confront systemic barriers as social change agents. This research kicks off a vital dialogue regarding transformative leadership's implications for guiding community-engaged institutions like Extension pursuing democratic engagement.

This represents the first study to apply transformative leadership to a national assessment of values and beliefs among Extension education leadership.

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.

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 article aims at presenting the concept of the Brazilian university’s third mission and its relevance for predicting teaching behavior. To that end, this article presents a conceptual model of that third mission in Brazil and how its relationship with stakeholders was built.

This is a conceptual article. The authors analyze the third mission and the Brazilian educational model to suggest predicting teaching behavior as a possibility to optimize the third mission in higher education institutions.

The Brazilian third mission is related to civilian participation, John Dewey’s democratic education management, Paulo Freire’s transformative education, Triple-Helix and the knowledge ecology. This association enables insight into the relevance of the third mission and into the need for professors’ participation.

Revealing the factors of behavior prediction to perform the third mission is the first mission of the theory of planned behavior. Based on these data, the theory suggests interventions without changing teaching behavior. This possibility might increase the adherence of the professor to activities related to the third mission.

This article contributes to studies on the development of the third mission and to the sharing of a conceptual model that is partially different from the European model, thus promoting broader results for stakeholders. The indications made here can lead to empirical studies to further approximate the higher education institutions and the various sectors of society. Moreover, there is room for investigations that aim at a conceptual convergence at the international level for the third mission, as it happens for teaching and researching.

The purpose of this paper is to assess the adoption of climate-smart agriculture (CSA) and its implication on improving the farming household food security status, their resilience and livelihood risk management of farmers.

This systematic review has followed procedures to accomplish the review, including literature searches, screening studies, data extraction, synthesis and presentation of the data.

Based on the result of the review, the determinants of CSA adoption can be categorized into five categories, including demographic factors (age, sex, family size, dependency ratio, education), economic factors (land size, household income, livestock ownership), institutional factors (extension services, training access, credit services, farm input, market distance), environmental factors (agroecology, change in precipitation, slope of land) and social factors (cooperatives membership, farmers perception). The result also shows that applying CSA practices has an indispensable role on increasing productivity, food security, income, building resilient livelihoods, minimizing production risk and alleviating poverty. This concluded CSA practice has a multidimensional role in the livelihood of agrarian population like Ethiopia, yet its adoption was constrained by several factors.

This review mainly emphasizes on the most commonly practiced CSA strategies that are examined by different scholars.

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.

Knowledge of how social movements move, diffuse, and expand collective action events is central to movement scholarship and activist practice. Our purpose is to extend sociological knowledge about how movements (sometimes) diffuse and amplify insurgent actions, that is, how movements move. We extend movement diffusion theory by drawing a conceptual analogue with military theory and practice applied to the case of the organized and highly disciplined nonviolent Nashville civil rights movement in the late 1950s and early 1960s. We emphasize emplacement in a base-mission extension model whereby a movement base is built in a community establishing a social movement school for inculcating discipline and performative training in cadre who engage in insurgent operations extended from that base to outlying events and campaigns. Our data are drawn from secondary sources and semi-structured interviews conducted with participants of the Nashville civil rights movement. The analytic strategy employs a variant of the “extended case method,” where extension is constituted by movement agents following paths from base to outlying campaigns or events. Evidence shows that the Nashville movement established an exemplary local movement base that led to important changes in that city but also spawned traveling movement cadre who moved movement actions in an extensive series of pathways linking the Nashville base to events and campaigns across the southern theater of the civil rights movement. We conclude with theoretical and practical implications.

The paper addresses the issue of change in Wikidata ontology by exposing the role of the socio-epistemic processes that take place inside the infrastructure. The subject of the study was the process of extending the Wikidata ontology with a new property as an example of the interplay between the social and technical components of the Wikidata infrastructure.

In this study, an interpretative approach to the evolution of the Wikidata ontology was used. The interpretation framework was a process-centric approach to changes in the Wikidata ontology. The extension of the Wikidata ontology with a new property was considered a socio-epistemic process where multiple agents interact for epistemic purposes. The decomposition of this process into three stages (initiation, knowledge work and closure) allowed us to reveal the role of the institutional structure of Wikidata in the evolution of its ontology.

This study has shown that the modification of the Wikidata ontology is an institutionalized process where community-accepted regulations and practices must be applied. These regulations come from the institutional structure of the Wikidata community, which sets the normative patterns for both the process and social roles and responsibilities of the involved agents.

The results of this study enhance our understanding of the evolution of the collaboratively developed Wikidata ontology by exposing the role of socio-epistemic processes, division of labor and normative patterns.