Resumen: La pandemia por COVID-19 influyó en el proceso de educación superior generando una transición entre la modalidad presencial a la modalidad en línea-emergente en la que se identificaron varias dificultades para el acceso debido a la inequidad, problemas tecnológicos, crisis de salud y económica a nivel mundial, y en Ecuador a nivel de docentes y estudiantes. El descubrimiento de conocimiento en bases de datos de KDD - Educacional, el análisis de técnicas de minería de datos de clasificación y agrupación, y el complemento de análisis de datos con la inteligencia de negocios determinaron los factores desde la perspectiva de la institución, del docente y de los estudiantes que inciden en el proceso de educación en línea, donde se demuestra además, la importancia del modelo de educación, la metodología del proceso de enseñanza aprendizaje, el entorno de aprendizaje y el bienestar de los docentes y estudiantes que garantizan una educación superior en línea de calidad con igualdad de oportunidades en el acceso.

Abstract: The COVID-19 pandemic significantly impacted higher education, forcing a rapid transition from face-to-face modality to the emerging online learning modality. This transition exposed several challenges, including, inequitable access to technology, global health and economic crisis, and specific difficulties faced by both teachers and students in Ecuador. Knowledge discovery in KDD - Educational databases, the analysis of classification and clustering data mining techniques and the complement of data analysis with business intelligence determined the factors from the perspective of the institution, teachers and students that influence the online education process. In addition, the importance of the education model, the teaching-learning process methodology, the learning environment, and the well-being of teachers and students that guarantee quality online higher education with equal access opportunities is demonstrated.

Digital information and data are crucial drivers of progress in various industries, including mining, where data-driven decision making optimizes resource extraction, enhances safety, and ensures sustainability. The adoption of digital technologies like artificial intelligence (AI) and the Internet of Things has amplified the importance of digital information. However, the integrity and security of this information are paramount, leading to the exploration of blockchain technology as a potential solution for secure digital value exchange in mining. This research examines blockchain's capabilities, drawing insights from its applications in sectors like banking, government, healthcare, and entertainment, and evaluates their relevance to mining's core value chain processes. The study identifies blockchain's distributed ledger technology, cryptographic security, and decentralization as unique advantages that can revolutionize mining by enhancing transaction speed, reducing costs, and improving supply chain transparency and compliance with sustainability standards. Blockchain's transparent and auditable records can enhance business transparency, fostering trust among stakeholders, including investors and regulatory bodies. The technology's consensus mechanisms and smart contracts further promote trust in collaborative ventures. This research provides a foundational understanding for decision-makers in the mining industry to evaluate blockchain's feasibility and potential return on investment, guiding strategic planning and resource allocation for blockchain applications. By leveraging blockchain, mining companies can optimize operations, improve sustainability practices, and establish a robust foundation for future growth, positioning blockchain as a transformative technology in the sector.

Resumo: Neste trabalho, apresentam-se os resultados de uma análise de conteúdo de artigos publicados em cinco meios digitais generalistas argentinos que abordam Inteligência Artificial, robotização e automação de processos. O corpus foi submetido a uma abordagem de mineração de dados e, em seguida, uma amostra representativa foi selecionada para uma análise de conteúdo, com base em variáveis como a área de incidência da notícia (saúde, educação, governo, etc.), origem geográfica, fontes e apelo a medos ou expectativas. Os principais achados concentram-se na semelhança de abordagens dos cinco meios de comunicação (que, aliás, apresentam orientações editoriais muito diferentes em relação à agenda de discussão pública mais geral), na abordagem predominantemente favorável ou positiva dessas inovações, no viés empresarial nas fontes utilizadas e no predomínio, como expectativas e temores referidos, do eixo comodidade-obsolescência

Resumen: En este trabajo se presentan los resultados de un análisis de contenido de artículos publicados en cinco medios digitales generalistas argentinos en los que se tematiza la inteligencia artificial, la robotización y la automatización de procesos. El corpus se sometió a un abordaje de minería de datos y luego se seleccionó una muestra representativa que fue abordada con un análisis de contenido, a partir de variables como el área de incidencia de la noticia (salud, educación, gobierno), el origen geográfico, las fuentes y la apelación a temores o expectativas. Los principales hallazgos se centran en la similitud de enfoques de los cinco medios (los que, por lo demás, presentan líneas editoriales muy diferentes respecto a la agenda de discusión pública más general), el abordaje mayormente favorable o positivo de estas innovaciones, el sesgo empresarial en las fuentes utilizadas y el predominio, como expectativas y temores aludidos, del eje comodidad-obsolescencia

Abstract: This paper presents the results of a content analysis of articles published in five Argentine generalist digital media outlets that discuss Artificial Intelligence, robotization, and process automation. The corpus underwent a data mining approach, and a representative sample was then selected for content analysis based on variables such as the area of news impact (health, education, government, etc.), geographical origin, sources, and the appeal to fears or expectations. The main findings focus on the similarity of approaches among the five media outlets, which otherwise have very different editorial stances regarding the broader public discussion agenda. The analysis reveals a predominantly favorable or positive approach to these innovations, a business bias in the sources used, and a prevalence of the comfort-obsolescence axis as the referenced expectations and fears.

Resumo Los estudios de Inteligencia competitiva (IC) en los últimos años desenvuelve conceptos y aplicabilidad en grandes empresas y/o gobiernos; mientras que estudios de emprendimientos y/o pequeñas empresas son poco a profundados y de menor cantidad; aún más escasos son estudios que relacionan los conceptos de inteligencia competitiva, emprendimiento, pequeña empresa. Esta investigación tiene como objetivo demostrar la existencia de una laguna de conocimiento que envuelve los temas antes mencionados. La metodología utilizada es de revisión bibliográfica; para la colecta de datos se definió 3 términos clave, en inglés, para aplicarlos en 3 bases de datos; el análisis y visualización de la relación entre las palabras claves a través de mapas bibliométricos bidimensionales se realizó mediante el software VOSviewer. Los resultados obtenidos muestran un total de 170 artículos producto de las diversas conjunciones de las palabras clave, 84 en Scopus, 80 en Web Of Science y 6 en Scielo, sin excluir los artículos replicados; en cuanto a la relación de las palabras claven en em mapa bibliométrico, muestra que el termino de IC se relacione con muchos otros temas, ya sean en español, como en inglés. Finalmente, se concluyó que no existe ninguna investigación entre los años 2011 y 2021 las 3 bases de datos seleccionadas que relacione a la inteligencia competitiva, emprendimientos y pequeñas empresas; difiere en 33 artículos las investigaciones con los tópicos de IC y emprendimientos, con los de tópicos sobre IC y micro empresas; por lo tanto, claramente puede ser visto la existencia de laguna de conocimiento de nuestros temas clave.

Abstract Competitive Intelligence (CI) studies in recent years develop concepts and applicability in large companies and/or governments; while studies of entrepreneurships and/or small companies are little to deep and of less quantity; Even more scarce are studies that relate the concepts of competitive intelligence, entrepreneurship, and small business. This research aims to demonstrate the existence of a knowledge gap that involves the aforementioned issues. The methodology used is a bibliographic review; For the data collection, 3 key terms were defined, in English, to apply them in 3 databases; the analysis and visualization of the relationship between the keywords through two-dimensional bibliometric maps was carried out using the VOSviewer software. The results obtained show a total of 170 articles resulting from the various conjunctions of the keywords, 84 in Scopus, 80 in Web Of Science and 6 in Scielo, without excluding replicated articles; As for the relationship of the keywords in the bibliometric map, it shows that the IC term is related to many other topics, whether in Spanish or in English. Finally, it was concluded that there is no research between the years 2011-2021 in the 3 selected databases that relates to competitive intelligence, entrepreneurship and small companies; 33 articles differ in research with the topics of CI and entrepreneurship, with those of topics on CI and micro-enterprises; therefore, the existence of a knowledge gap of our key issues can clearly be seen.

Abstract: The significant advancements in technology over the past few decades have given rise to a relatively straightforward array of Internet applications based on open source software. These applications and services aim to enhance online collaboration for a broad audience, particularly through social networking sites. These platforms have transformed the dynamics of online interaction and information exchange, with millions of users regularly engaging and sharing various digital content. Users express their thoughts and opinions on diverse topics, contributing valuable insights for personal, academic, and commercial purposes. However, the sheer volume and rapid generation of this data present a challenge for decision-makers and the underlying technologies to extract meaningful insights. To leverage the data derived from social networks, researchers have focused on assisting companies in comprehending how to conduct competitive analyses and convert this data into actionable knowledge. This paper offers a comprehensive literature review on data warehouse approaches derived from social networks. We commence by introducing fundamental concepts of data warehousing and social networks, followed by the presentation of three categories of data warehouse approaches, along with an overview of the most notable existing works within each category. Subsequently, we conduct a comparative analysis of these existing works.

Abstract The objective of this study was to investigate the impact of emotional intelligence (EI) and the Big Five personality traits on the attainment of success in leadership positions within hospital administration. The researchers predicted the association between emotional intelligence (EI) and neuroticism, anticipating a negative link. Additionally, they projected a positive relationship between EI and the Big Five personality traits, specifically openness to experience, agreeableness, openness to new ideas, and extraversion. The primary objective of this study is to fill a void in the existing body of research by examining the relationship between personality, emotional intelligence (EI), and leadership effectiveness and performance. Our results indicate that the association between individual differences, leadership, and performance exist. This study did not examine the firm's performance metrics, but the disturbances' absorption of measurement errors in the endogenous regressors, which are independent of the exogenous, and minimize coefficient estimate biasesas as held by (Antonakakis et al., 2020). Individual predictors had a low to moderate effect on variation, but their aggregate influence accounted for 56% of transformational leadership variance and 26% of management leadership effectiveness variance. Our study supported merits consideration due to the implementation of controls such as age and managerial experience, the utilization of a longitudinal measure of effectiveness, and the mitigation of common method variance through the use of measures from different sources for predictors and criteria. (EI administration neuroticism link Additionally experience agreeableness ideas extraversion EI, , differences exist firms firm s metrics disturbances regressors exogenous Antonakakis al al. 2020. 2020 . 2020) variation 56 26 criteria 202 5 2 20

Resumo O objetivo do estudo foi investigar o impacto da inteligência emocional (IE) e dos traços de personalidade Big Five na obtenção de sucesso em posições de liderança na administração hospitalar. Os pesquisadores previram a associação entre inteligência emocional (IE) e neuroticismo, antecipando uma ligação negativa. Além disso, projetaram uma relação positiva entre a IE e os traços de personalidade Big Five, especificamente Abertura à experiência, agradabilidade, Abertura a novas ideias e extroversão. O objetivo principal deste estudo é preencher uma lacuna no corpo de pesquisa existente, examinando a relação entre personalidade, inteligência emocional (IE) e eficácia e desempenho da liderança. Nossos resultados indicam uma associação entre diferenças individuais, liderança e desempenho. Este estudo não examinou a métrica de desempenho da empresa, mas a absorção dos distúrbios dos erros de medição nos regressores endógenos, que são independentes dos exógenos, minimiza vieses de estimativa de coeficientes, como sustentado por (Antonakakis et al., 2020). Os preditores individuais tiveram um efeito baixo a moderado na variação, mas sua influência agregada foi responsável por 56% da variância da liderança transformacional e 26% da variância da eficácia da liderança gerencial. Nosso estudo apoiou a consideração do mérito devido à implementação de controles como idade e experiência gerencial, a utilização de uma medida longitudinal de eficácia e a mitigação da variância comum do método através do uso de medidas de diferentes fontes para preditores e critérios. (IE hospitalar neuroticismo negativa disso agradabilidade extroversão existente empresa endógenos exógenos coeficientes Antonakakis al al. 2020. 2020 . 2020) variação 56 26 gerencial critérios 202 5 2 20

ABSTRACT Objective: To report on the experience and impressions of the Brazilian orthopedic trauma surgeons attending the Leadership Development Program (LDP) hosted by the Sociedade Brasileira do Trauma Ortopédico (SBTO) in Sao Paulo, Brazil on November 4, 2022. Methods: Forty-eight orthopedic trauma surgeons from five different regions throughout Brazil were provided a link to complete The Big Five Test, a validated online personality assessment. The questionnaire was available in Portuguese and was intended to provide a background on individual personality traits and their influence on interpersonal interactions. The LDP integrated content from literature reviews specific to Latin America, established leadership programs from leading business schools, and various subject matter experts. Prior to the start of the LDP, participants received a pre-course survey evaluating demographic information, a needs assessment, and the prioritization of leadership topics utilizing a 5-point Likert-scale. Attendees participated in the one-day, interactive LDP focusing on the fundamental principles of leadership development, communication, personal development, emotional intelligence and negotiation. Following the LDP, a post-course evaluation was administered to determine the participants’ overall experience, and suggestions for LDP improvement. Results: Forty-one of the forty-eight course participants completed the pre-course evaluation, whereas forty-six of the forty-eight participants completed the post-course evaluations. Overwhelmingly, the lack of opportunity was most prevalently reported as the main obstacle to attending a leadership course, as cited by 56% of respondents. Conclusion: Expanding the accessibility, diversity, and customizability of leadership programs can facilitate the development of personal tools needed to move healthcare forward. Critical topics include emotional intelligence and other differentiating leadership qualities that distinguish true transformational and servant leaders. Advancing leadership skills can stimulate networking, expose learners to experiential learning styles, inspire others to create positive change, and engender creative solutions for systematic improvements and health outcomes. Level of Evidence III; Individual Case-Control Studies. Objective (LDP SBTO (SBTO Paulo 4 2022 Methods Fortyeight Forty eight Test assessment interactions America schools experts precourse pre information 5point point 5 Likertscale. Likertscale Likert scale. scale Likert-scale oneday, oneday one day, day one-day communication negotiation postcourse post improvement Results Fortyone fortyeight forty fortysix six evaluations Overwhelmingly 56 respondents Conclusion accessibility diversity forward leaders networking styles change outcomes III CaseControl Case Control Studies 202 20 2

RESUMO Objetivo: Relatar a experiência e as impressões de cirurgiões de trauma ortopédico brasileiros participantes do Programa de Desenvolvimento de Liderança (PDL), organizado pela Sociedade Brasileira do Trauma Ortopédico (SBTO), em São Paulo, Brasil, em 4 de novembro de 2022. Métodos: Quarenta e oito cirurgiões de trauma ortopédico de cinco regiões diferentes do Brasil receberam um link para preencher o The Big Five Test, uma avaliação de personalidade on-line validada. O questionário estava disponível em português e pretendia fornecer informações básicas sobre traços de personalidade individuais e sua influência nas interações interpessoais. O PDL integrou conteúdo de análises de literatura específicas da América Latina, e programas de liderança estabelecidos pelas principais escolas de negócios e por vários especialistas no assunto. Antes do início do PDL, os participantes receberam uma pesquisa pré-curso solicitando informações demográficas, uma avaliação de necessidades e a priorização de tópicos de liderança utilizando uma escala Likert de 5 pontos. Os participantes participaram do PDL interativo de um dia com foco nos princípios fundamentais de desenvolvimento de liderança, comunicação, desenvolvimento pessoal, inteligência emocional e negociação. Após o PDL, foi realizada uma avaliação pós-curso para determinar a experiência geral dos participantes e sugestões para melhoria do PDL. Resultados: Quarenta e um dos quarenta e oito participantes do curso concluíram a avaliação pré-curso, enquanto quarenta e seis dos quarenta e oito participantes concluíram a avaliação pós-curso. A falta de oportunidade foi relatada com maior prevalência como o principal obstáculo para frequentar um curso de liderança, conforme citado por 56% dos entrevistados. Conclusão: Expandir a acessibilidade, a diversidade e a personalização dos programas de liderança podem facilitar o desenvolvimento de ferramentas pessoais necessárias para fazer avançar os cuidados de saúde. Os tópicos críticos incluem inteligência emocional e outras qualidades de liderança diferenciadas, que distinguem verdadeiros líderes transformacionais e servidores O avanço das competências de liderança pode estimular o networking, expor os alunos a estilos de aprendizagem experiencial, inspirar outros a criar mudanças positivas e gerar soluções criativas para melhorias sistemáticas dos resultados na saúde. Nível de Evidência III; Estudos de caso-controle individuais. Objetivo , (PDL) SBTO, SBTO (SBTO) Paulo 2022 Métodos Test online on line validada interpessoais Latina assunto précurso pré demográficas pontos comunicação pessoal negociação póscurso pós Resultados précurso, curso, póscurso. curso. 56 entrevistados Conclusão acessibilidade saúde diferenciadas networking experiencial III casocontrole caso controle (PDL (SBTO 202 20 2

ABSTRACT The COVID-19 pandemic imposed many market changes, driven partially by new consumer needs. In the electronic commerce field, changes occurred in parallel to an upsurge in demand, directly impacting logistics service quality. Within that context, this paper seeks a way of assessing the quality of e-commerce logistics, based on end-customer perceptions at the close of the purchasing cycle. The objective is thus to develop a mathematical model based on the artificial intelligence precepts that can interpret qualitative expressions captured through a questionnaire. Such values form partial indexes and the E-Commerce Logistics Quality Index (IQLE). After processing 180 records, it was noted that three of the seven analyzed attributes scored below 5.0, denoting some concern, but also opening up opportunities for improvement and the development of marketing solutions. COVID19 COVID 19 COVID-1 needs field demand context ecommerce e endcustomer end customer cycle questionnaire ECommerce E Commerce IQLE. IQLE . (IQLE) 18 records 50 5 0 5.0 concern solutions COVID1 1 COVID- (IQLE 5.

RESUMO É fato que com a pandemia da COVID-19 ocorreram muitas mudanças de mercado, em parte, impulsionadas pelas novas necessidades dos consumidores. No âmbito do comércio eletrônico, as mudanças aconteceram em paralelo com o aumento rápido de demanda, impactando diretamente na qualidade do serviço logístico prestado. É nesse contexto que este artigo busca desenvolver uma forma de avaliar a qualidade da logística do e-commerce, baseando-se na percepção do cliente final ao final do ciclo do pedido. Para tanto, objetiva-se desenvolver um modelo matemático, baseando-se nos preceitos da inteligência artificial, que possa interpretar expressões qualitativas, capturadas por intermédio de questionário, transformando-as em valores quantitativos, passíveis de análise no mundo real. Tais valores formam índices parciais e o IQLE (Índice da Qualidade da Logística do E-commerce). Após o processamento de 180 registros, observou-se que dos sete atributos analisados, três deles redundaram em nota abaixo de 5,0, denotando certa preocupação, mas oportunidade de melhora e desenvolvimento de soluções mercadológicas. COVID19 COVID 19 COVID-1 mercado parte consumidores eletrônico demanda prestado ecommerce, ecommerce commerce, commerce e-commerce baseandose baseando se pedido tanto objetivase objetiva matemático artificial qualitativas questionário transformandoas transformando quantitativos real Índice Ecommerce. Ecommerce E . E-commerce) 18 registros observouse observou analisados 50 5 0 5,0 preocupação mercadológicas COVID1 1 COVID- E-commerce 5,

ABSTRACT Artificial intelligence is a general-purpose technology (GPT), term given to technologies that shape an entire era and reorient innovations by reconfiguring the economy’s logic and functioning and bringing in new business models. AI offers unprecedented opportunities and risks. The benefits of AI are extraordinary, as are its potential harms. Potential damage does not have the same degree of problematization, since the intensity and extent of the damage varies according to the domain and the object of application. To address the scale of this challenge, regulation is necessary but not sufficient. Standards, unwritten codes of compliance and arbitration procedures, supervision and auditability, AI governance, international agreements, compliance with current local and global standards and laws. All of this needs to be integrated. Society seems to have no alternative to facing the challenges of at least mitigating the damage already identified and trying to predict future damage in advance. The purpose of this article is to encourage reflection regarding the main initiatives that are available to society to protect its citizens and organizations from the potential harm caused by AI models, vis-à-vis the technology’s own limits to act in ethical and legal compliance. generalpurpose general GPT, GPT , (GPT) economys economy s models risks extraordinary harms problematization application challenge sufficient Standards procedures auditability governance agreements laws integrated advance visàvis vis à technologys (GPT

RESUMO A inteligência artificial é uma tecnologia de uso geral (GPT), termo dado a tecnologias que moldam toda uma era e reorientam as inovações, reconfigurando a lógica e o funcionamento da economia e trazendo novos modelos de negócios. A IA oferece oportunidades e riscos sem precedentes. Os benefícios da IA são extraordinários, assim como os seus potenciais danos. O dano potencial não possui o mesmo grau de problematização, pois a intensidade e a extensão do dano variam conforme o domínio e o objeto de aplicação. Para enfrentar a escala deste desafio, a regulamentação é necessária, mas não suficiente. Padrões, códigos não escritos de conformidade e procedimentos de arbitragem, supervisão e auditabilidade, governança de IA, acordos internacionais, conformidade com padrões e leis locais e globais atuais. Tudo isso precisa ser integrado. A sociedade parece não ter alternativa senão enfrentar os desafios de, pelo menos, mitigar os danos já identificados e tentar prever antecipadamente os danos futuros. O objetivo deste artigo é estimular a reflexão sobre as principais iniciativas que estão à disposição da sociedade para proteger seus cidadãos e organizações dos potenciais danos causados pelos modelos de IA, vis-à-vis os próprios limites da tecnologia para atuar em conformidade ética e legal. GPT, GPT , (GPT) inovações negócios precedentes extraordinários problematização aplicação desafio necessária suficiente Padrões arbitragem auditabilidade internacionais atuais integrado menos futuros visàvis vis legal (GPT

RESUMO Em escala mundial, as tecnologias de informação e comunicação estão passando por mudanças fundamentais. Pesquisas foram feitas para investigar o mecanismo entre governo eletrônico e governança eletrônica à luz dos mencionados acima. Tem havido muitas discussões sobre diferentes estudos de caso de governança eletrônica. As distinções entre governança eletrônica e governo eletrônico, bem como seus respectivos benefícios, foram investigadas do ponto de vista da implementação governamental. Este trabalho de investigação atual também se concentrou na implantação de um mecanismo de governação eletrônica e abordou as dificuldades e constrangimentos envolvidos. Finalmente, os problemas práticos relativos à adopção da governação eletrônica foram abordados pela administração online e pela legislação da Internet. A investigação futura terá de se concentrar nos desafios legítimos e na forma como estes se relacionam estatisticamente com a governação eletrônica e a inteligência artificial em diversas instituições públicas e comerciais. mundial fundamentais acima benefícios governamental envolvidos Finalmente Internet comerciais

ABSTRACT On a worldwide scale, information and communication technologies are undergoing fundamental shifts, and research has been done to investigate the mechanisms between e-government and e-governance in light of these informational and technological shifts. There have been many discussions about different e-governance case studies, and the distinctions between e-governance and e-government, as well as their respective benefits, have been aptly investigated from the point of view of government implementation. This current paper also focuses on deploying an e-governance mechanism and addressing the difficulties and constraints involved. Finally, practical problems regarding the adoption of e-governance have been addressed by online administration and Internet legislation. Future research has to focus on legitimate challenges and how they statistically relate to e-governance and artificial intelligence in various public and commercial institutions. scale shifts egovernment e egovernance governance studies egovernment, government, benefits implementation involved Finally legislation institutions

RESUMEN La Inteligencia Artificial (IA) ha surgido como una tecnología revolucionaria que transforma radicalmente cómo se organizan y ejecutan las actividades profesionales en el entorno laboral contemporáneo. La innovación digital es una herramienta estratégica en las organizaciones, por lo que la tecnología revoluciona todos los ámbitos. La IA representa una oportunidad valiosa para transformar y potenciar las actividades profesionales, su desarrollo continuo promete nuevas aplicaciones y beneficios para una variedad de sectores, y su adopción estratégica puede marcar la diferencia entre el éxito y el estancamiento personal y empresarial en el siglo XXI. Esta investigación propone exponer tendencias emergentes y proponer recomendaciones prácticas para aprovechar al máximo el potencial de la IA en la organización de actividades profesionales, mostrando el impacto significativo y la mejora de la eficiencia en una amplia gama de industrias y sectores profesionales.

ABSTRACT Artificial Intelligence (AI) has emerged as a revolutionary technology that radically transforms how professional activities are organized and executed in the contemporary work environment. Digital innovation is a strategic tool in organizations, which is why technology revolutionizes all areas. AI represents a valuable opportunity to transform and enhance professional activities, its continued development promises new applications and benefits for a variety of sectors, and its strategic adoption can make the difference between personal and business success and stagnation in the 21st century. This research proposes to expose emerging trends and propose practical recommendations to make the most of the potential of AI in the organization of professional activities, showing the significant impact and improvement of efficiency in a wide range of industries and professional sectors.

BACKGROUND: Data science and machine learning have shown their usefulness in business and are gaining prevalence in the educational sector. In illustrating the potential of educational data mining (EDM) and learning analytics (LA), this article illustrates how such methods can be applied to the South African higher education institution (HEI) environment to enhance the teaching and learning of academic literacy modules. OBJECTIVES: The objective of this study is to determine if data science and machine learning methods can be effectively applied to the context of academic literacy teaching and learning and provide stakeholders with valuable decision support. METHOD: The method applied in this study is a variation of the knowledge discovery and data mining process specifically adapted for discovery in the educational environment. RESULTS: This study illustrates that utilising educational data can support the educational environment by measuring pedagogical support, examining the learning process, supporting strategic decision-making, and predicting student performance. CONCLUSION: Educators can improve module offerings and students' academic acculturation by applying EDM and LA to data collected from academic literacy modules. CONTRIBUTION: This manuscript contributes to the field of EDM and LA by illustrating that methods from these research fields can be applied to the South African educational context and produce valuable insights using local data, providing practical proof of its feasibility and usefulness. This is aligned with the scope of this journal as it pertains to innovations in information management and competitive intelligence.

PURPOSE: This study explores how manufacturing enterprises can effectively promote digital transformation through employee empowerment with ability, motivation, and opportunity empowerment at different stages DESIGN/METHODOLOGY/APPROACH: Drawing on ability, motivation, and opportunity (AMO) theory, this qualitative research takes the Jiangsu Shangshang Cable Group as a typical case to discuss manufacturing enterprises' evolving employee empowerment model. Gioia structured data analysis method was adopted to analyse the data FINDINGS/RESULTS: In the stage of information technology (IT) application, the main task of employee empowerment is strengthening the employees' abilities ('can do') and motivation ('want to do') by training their IT knowledge and skills, changing their mindset towards IT application, and letting them experience the efficiency of the latter. In the intelligence manufacturing stage, training employees to do better is the core content of employee empowerment. Enterprises can strengthen employees' intelligent manufacturing skills, practice data-based performance appraisal and salary management, and let employees participate in intelligent manufacturing. In the stage of digital transformation of the whole process, employees are required to 'do their best in the long run'. Enterprises could improve employee collaboration capabilities, build growth mechanisms, and involve every employee in innovation PRACTICAL IMPLICATIONS: In the digital transformation process, manufacturing enterprises could empower employees according to the different goals and requirements in the three stages of IT application, intelligence manufacturing, and digital transformation of the whole process. It has reference value for manufacturing enterprises to achieve digital transformation ORIGINALITY/VALUE: This study explores a three-dimensional evolving employee empowerment model to promote manufacturing enterprises' digital transformation

PURPOSE: The purpose of this article is to philosophically argue the applicability of the Triarchic Theory of Cognitive Disposition (TTCD) in responsible artificial intelligence (AI) stewardship DESIGN/METHODOLOGY/APPROACH: An overview of the Triarchic Theory and its three domains, Episteme-Analytical Intelligence, Techne-Inventive Intelligence, and Phronesis-Synergic Intelligence in relation to the challenges of integrating AI into our societies and organisations is provided, and argues that the theory provides a framework for responsible AI stewardship FINDINGS/RESULTS: The article provides a conceptual philosophical framework for responsible AI stewardship PRACTICAL IMPLICATIONS: The TTCD can help facilitate the responsible, ethical, and effective implementation of AI in organisational contexts. It provides practical examples of how the theory can be applied and highlights the ethical dilemmas associated with the integration of AI into our socio-economic fabric. The conceptualised insights can help guide business and society in the responsible integration of AI ORIGINALITY/VALUE: A new framework for addressing the challenges of integrating AI into our societies and organisations is provided. Practical examples demonstrate how the theory can be applied in organisational contexts, providing value to business leaders and practitioners. Additionally, the insights into the ethical quandaries associated with AI integration can benefit policymakers, academics, and society at large. Overall, the scientific contribution is its proposal of a comprehensive cognitive disposition that can guide responsible and effective AI stewardship

ORIENTATION: Volatile, uncertain, complex and ambiguous (VUCA) represents the environment in which business organisations operate, illuminated by the post-coronavirus disease 2019 (COVID-19) pandemic and the recent advent of artificial intelligence (AI). The VUCA environment epitomises pervasive unpredictability, shaping the challenges faced by businesses. RESEARCH PURPOSE: This article focuses on the dynamics of individuals within private higher education institutions (PHEIs), driven by a bottom line; they compete to attract students, face greater scrutiny from outside constituencies and subjected to higher accountability. It explores the hierarchical structure of management levels and how the interrelatedness of the business environments can facilitate the navigation of the work role identity in flux in the face of constant change. MOTIVATION FOR THE STUDY: The fast-paced and ever-changing nature of today's business landscape significantly affects employees' core identities, as the constant need to adapt and perform at their best creates feelings of insecurity and uncertainty. Consequently, it influences institutional and individual outcomes. RESEARCH APPROACH/DESIGN AND METHOD: This qualitative study collected data from qualified staff in senior-level positions within academia, with titles such as CEO or head of campus (HOC) (N = 15) at selected PHEIs. The data were analysed using ATLAS.ti. MAIN FINDINGS: The findings show an extended framework highlighting elements vital to the increased institutional brand image and improved professional identity. PRACTICAL/MANAGERIAL IMPLICATIONS: How individuals in the workplace experience and respond to constant unprecedented change affects the institutional brand and the role of management causes a significant influence. CONTRIBUTION/VALUE-ADD: Leaders can drive organisations to adapt, change and evolve to the conditions of their organisational environment.