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This study aims to develop and validate an accurate machine learning model to categorize NBA fans into meaningful clusters based on their perceptions of sport sponsorship. Additionally, by predicting the intensity of NBA fans’ attitudes toward sponsors, the authors intend to identify the specific features that influence prediction, discuss these findings and offer implications for academics and practitioners in sport sponsorship.

This study used a sample of 1,142 NBA fans who were recruited through Amazon Mechanical Turk (MTurk). Fans identification, sponsorship fit, behavioral intentions, sponsor altruistic motive, sponsor normative motive, sponsor egoistic motive were surveyed as predictors, whereas fans’ attitudes toward sponsors was collected as the dependent variable. The LASSO regression, SVM, KNN, RF and XGboost were used to develop and validate the prediction model after verifying the measurement model by the Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA).

The RF model had the best accurate in predicting the intensity of fans’ attitudes toward sponsors, achieving an AUC of 0.919 with a sensitivity of 0.872, a specificity of 0.828, a PPV of 0.873, a NPV of 0.828 and an accuracy of 0.848. The most influential feature in the model was “the fit of 0.301”. “Fans’ perceptions of sponsor’s normative motive”, “behavioral intentions supporting sponsors”, “fans’ identification with their favorite team”, “fans’ perceptions of sponsor’s altruistic motive” and “fans’ perceptions of sponsor’s egoistic motive” were exhibited in descending order.

This study is the first in sport sponsorship to accurately classify the intensity of fans’ attitudes toward sponsors as either high or low using machine learning models, and to formulate how fans’ attitudes formed toward sponsors from their perceptions of sponsorship process.

This study aims to analyze the establishment of sustainable microfranchises by women victims of the conflict (WVC) entrepreneurs who suffered the consequences and impacts of the longest-running internal conflict in the Americas. Additionally, this research seeks to underscore the transformative role of women entrepreneurs-for-peace (WE4P) in a post-peace agreement society.

This study seeks to contribute to theory building on sustainable business models (SBMs) at the base of the pyramid (BoP) theory from a single case study of the Colombian microfranchise TechOil. The theoretical sampling process guided the selection of data sources, which include semi-structured interviews, company and microfranchise donors’ reports, websites and external expert interviews to support the findings. The research adopts a framework of intro-entrepreneurship characteristics, ambiance, organization and sustainability.

TechOil offers a valuable case study for understanding how the phenomenon of microfranchise as an SBM spills over the BoP and promotes gender equality. The authors also developed a new SBM typology by extending the theory inductively.

The paper highlights WE4P and introduces microfranchises as a new SBM typology, offering insights into policy, practice and societal transformation in post-peace agreement zones.

The issue of WVC entrepreneurs in post-peace agreement settings remains under-reviewed and under-theorized. This study’s originality lies in introducing microfranchises as a new SBM typology, emphasizing the importance of gender equality and women’s roles in sustainable development and addressing the overlooked link between entrepreneurship and peace, contributing to global applicability.

Este estudio tiene como objetivo analizar el establecimiento de microfranquicias sostenibles por parte de emprendedoras Víctimas del Conflicto (WVC, por sus siglas en inglés) que sufrieron las consecuencias e impactos del conflicto interno más largo en América. Además, esta investigación busca resaltar el papel transformador de las mujeres emprendedoras por la paz (WE4P) en una sociedad posterior a un acuerdo de paz.

Este estudio busca contribuir a la construcción de teoría sobre modelos de negocios sostenibles - SBM según la teoría de la Base de la Pirámide - BoP a partir de un estudio de caso único de la microfranquicia colombiana TechOil. El proceso de muestreo teórico guió la selección de fuentes de datos, que incluyen entrevistas semiestructuradas, informes de la empresa y donantes de microfranquicias, sitios web y entrevistas con expertos externos para respaldar los hallazgos. La investigación adopta un marco de características introemprendedoras, ambiente, organización y sostenibilidad.

TechOil ofrece un valioso estudio de caso para comprender cómo el fenómeno de la microfranquicia como SBM se extiende más allá de la BoP y promueve la igualdad de género. Los autores también desarrollaron una nueva tipología de SBM al extender la teoría de manera inductiva.

El artículo destaca a las WE4P e introduce las microfranquicias como una nueva tipología de SBM, ofreciendo ideas sobre política, práctica y transformación social en zonas posteriores a un acuerdo de paz.

El tema de las emprendedoras WVC en contextos posteriores a un acuerdo de paz sigue siendo poco estudiado y teorizado. La originalidad de este artículo radica en introducir las microfranquicias como una nueva tipología de SBM, enfatizando la importancia de la igualdad de género y el papel de las mujeres en el desarrollo sostenible, y abordando el vínculo pasado por alto entre el emprendimiento y la paz, contribuyendo a la aplicabilidad global.

Este estudo tem como objetivo analisar o estabelecimento de microfranquias sustentáveis por empreendedoras Vítimas do Conflito (WVC) que sofreram as consequências e impactos do conflito interno mais longo das Américas. Além disso, esta pesquisa busca destacar o papel transformador das mulheres empreendedoras pela paz (WE4P) em uma sociedade pós-acordo de paz.

Este estudo busca contribuir para a construção de teoria sobre modelos de negócios sustentáveis - SBM segundo a teoria da Base da Pirâmide - BoP a partir de um estudo de caso único da microfranquia colombiana TechOil. O processo de amostragem teórica orientou a seleção de fontes de dados, que incluem entrevistas semiestruturadas, relatórios da empresa e doadores de microfranquias, sites e entrevistas com especialistas externos para respaldar os achados. A pesquisa adota um quadro de características introempreendedoras, ambiente, organização e sustentabilidade.

A TechOil oferece um valioso estudo de caso para entender como o fenômeno da microfranquia como SBM se estende além da BoP e promove a igualdade de gênero. Os autores também desenvolveram uma nova tipologia de SBM ao estender a teoria de forma indutiva.

O artigo destaca as WE4P e introduz as microfranquias como uma nova tipologia de SBM, oferecendo insights sobre política, prática e transformação social em zonas pós-acordo de paz.

O tema das empreendedoras WVC em contextos pós-acordo de paz ainda é pouco estudado e pouco teorizado. A originalidade deste artigo reside em introduzir as microfranquias como uma nova tipologia de SBM, enfatizando a importância da igualdade de gênero e o papel das mulheres no desenvolvimento sustentável, e abordando o elo negligenciado entre empreendedorismo e paz, contribuindo para a aplicabilidade global.

Grounded on the distributed theory and the social exchange theory, the current study investigates the determinants that positively influence job performance among educators within the realm of higher education in India. It particularly assesses the impact of perceived academic leadership on performance and explores the mediating and moderating effects of organizational citizenship behavior and informal institutional leadership.

Employing a descriptive research design, this study encompasses a broad cross-section of faculty members from various higher educational institutions across India. Data were gathered from 826 educators using a snowball sampling technique, with questionnaires administered online. Each variable was measured using prevalidated scales.

The findings from the moderated mediation model indicate a significant indirect relationship between perceived academic leadership and job performance, which is mediated by organizational citizenship behavior. Furthermore, informal institutional leadership demonstrates significant conditional indirect effects, enhancing the link between academic leadership and job performance up to a threshold, beyond which its influence diminishes.

This study pioneers the exploration of academic dynamics beyond mere titles and ranks in the Indian educational sector. It delineates both the direct and indirect roles these dynamics play in enhancing faculty performance, providing a novel insight into the complexities of academic leadership.

The purpose of this study is to investigate the influence of ambidextrous strategy on supply chain resilience and its impact on firm performance, employing the Dynamic Capabilities View.

Through a survey of 215 supply chain professionals, the research employs a structural equation modeling analysis to examine the relationships between ambidexterity, agile operations, resilience, and performance.

The findings demonstrate that the ambidextrous strategy significantly enhances both agile operations and supply chain resilience. In turn, agile operations and resilience positively impact firm performance. The study also reveals that agile operations and supply chain resilience partially mediate the relationship between ambidextrous strategy and firm performance.

This research contributes to the supply chain management literature by highlighting the importance of an ambidextrous approach in fostering agile operations and resilience, thereby improving firm performance. It extends the dynamic capabilities view framework by elucidating how ambidexterity acts as a pivotal mechanism for adapting to disruptions and securing competitive advantage in volatile markets. Finally, measurements of ambidextrous strategy and resilience are provided to further enhance practitioners’ understanding of building these important components in networks.

In November 2022, the commercial company, OpenAI, launched ChatGPT. Since then, university students have rapidly become regular users of this artificial intelligence (AI) platform. One reason for this is the powerful capability of this generative AI tool to produce textual content, which in many cases, is almost indistinguishable from human-generated content. Another reason is that ChatGPT easily gives anyone access to knowledge. However, there is a problem as the vast majority of its users have no idea how this AI platform works and thus overlook the importance of thinking critically about information communicated in ChatGPT. While some call for banning this generative AI tool, this study aims to provide evidence that science classrooms can become scenarios where students find explicit, concrete, and realistic opportunities to critically evaluate scientific information generated by ChatGPT.

An intervention study was conducted with 55 students (26 females and 29 males, 17–24 years old) during a university Spanish-English bilingual science course taught within an active learning environment. The data consist of the written critiques of the students about Spanish-English bilingual scientific texts produced by ChatGPT.

Results indicate that the intervention had a positive effect on students’ abilities to construct sound arguments in Spanish and in English while judging the quality of scientific texts produced by this AI bot. Moreover, the findings suggest that the intervention enriched students’ skills to make improvements to texts produced by this generative AI tool.

The evidence provided in this study contributes to the exploration of possibilities to help students become critical users of ChatGPT.