PurposeThis study addresses the following research question: What are the implications of artificial intelligence (AI) for Personalized Learning and Online Higher Education (OHE)?Design/methodology/approachA qualitative study was conducted using semi-structured interviews including faculty members and higher education administrators. The data were analyzed to identify the adoption factors, challenges, opportunities, and ethical considerations. An Integrative Model of Adopting AI in Online Higher Education (IMAOHE) was developed based on the empirical findings.FindingsAI supports personalized learning through adaptive assessment, real-time feedback, learning analytics, and tailored content. The reported challenges include ethical dilemmas, institutional barriers, and the need to preserve teacher autonomy.Research limitations/implicationsLimited respondents and lack of student perspectives suggest future research with larger, more diverse samples and mixed-methods or longitudinal designs.Practical implicationsThe model guides institutions, educators, and developers to integrate AI ethically and strategically, ensuring meaningful, context-aware learning.Social implicationsAI can enhance equity, inclusion, and student-centered learning while maintaining human mediation and cultural sensitivity.Originality/valueThis study provides an empirically grounded model linking AI adoption to pedagogical personalization in OHE, offering actionable insights for ethical and effective AI integration.
PurposeThis study analyzes resistance to technological innovation in the healthcare field, focusing on the formal, long-term adoption of teleconsultation in medical practice, which became established during the COVID-19 pandemic. Different institutional studies on resistance to change were analyzed to evaluate their capacity to explain the phenomenon.Design/methodology/approachQualitative interpretive research was conducted involving documentary research and interviews with professionals from public and private domains, including health regulation organizations and individual practitioners, to capture their understandings of the issue.FindingsThe results showed that the primary hindering factors were the need for physical examination, the risk of deteriorating remuneration conditions for doctors, and insufficient undergraduate training in telemedicine.Research limitations/implicationsThus, the study infers that institutional logics of the same order can coexist, accommodating contradictions between them. Medical autonomy, a principle of democratic logic upheld by part of the professional community and the imperative of public health emergencies, characteristic of professional logic, provoked a rapid response, constituting the driving pressures for the adoption of teleconsultation.Originality/valueTechnological innovation tends to face resistance during implementation, but under favorable conditions, it becomes consolidated alongside the previous practice. Traditional professional logic resisted the introduction of the new logic represented by teleconsultation until confronted by the pandemic, when it was compelled to adapt to the circumstances.
PurposeThis study examines how two directions of open innovation – inbound knowledge acquisition and outbound knowledge application – relate to project performance and whether knowledge-oriented leadership changes these relationships in automotive firms.Design/methodology/approachThis research is based on a survey conducted with 137 firms in the automotive industry and uses the PLS-SEM method to analyze the research model.FindingsThe results indicate that inbound open innovation is positively but comparatively weakly associated with project performance, whereas outbound open innovation shows a substantially stronger association. In automotive supply networks, automakers often shape development requirements, creating conditions that favor the external application of suppliers' knowledge. Knowledge-oriented leadership also amplifies the performance implications of both knowledge flows.Originality/valueThe study contributes by moving the analysis of open innovation from aggregate organizational outcomes to product development project teams. It also separates inbound and outbound flows and tests their relationships with project performance while considering knowledge-oriented leadership as a boundary condition.
PurposeThis study analyzes the effects of technostress on work engagement, workplace distraction, and professional performance.Design/methodology/approachThis study adopts a quantitative approach, using Structural Equation Models to test five hypotheses. Data were collected through a questionnaire administered to 364 professionals who used information technology in their activities.FindingsThe results demonstrated that technostress exerted opposite influences on work engagement and workplace distraction. In addition, the results indicate that more engaged and less distracted professionals tend to achieve higher performance levels in their activities. The research also revealed that more engaged professionals tend to be less prone to distractions during their activities.Practical implicationsThe study advocates that Organizations should invest in strategies to reduce the impact of technostress to increase work engagement and professional performance and reduce workplace distractions.Originality/valueThis study advances the literature by integrating technostress, work engagement and workplace distraction into a single structural model, highlighting their simultaneous and contrasting effects on employees' professional performance. This research provides a more comprehensive understanding of how technostress operates as a dual mechanism, both reducing engagement and increasing distraction, thereby extending the JD-R framework in the context of digital work.
PurposeThis study examines IPO underpricing in Brazil from 2010 to 2021, focusing on differences in post-IPO stock performance between pre-pandemic and pandemic-period offerings.Design/methodology/approachThe sample includes 113 companies that went public (55 pre-pandemic and 58 during the pandemic). Initial returns, short- and long-term performance and a pandemic fear index were used to assess the relationship between underpricing and the pandemic while controlling for firm, management and investor characteristics.FindingsPre-pandemic IPOs exhibited stronger capital structures, longer operating histories and higher profitability, whereas pandemic-period IPOs showed higher leverage, greater governance standards and larger offering volumes. The analyses indicate higher underpricing during the pandemic, which increases with higher pandemic-related fear. This relationship intensified with institutional investors' participation and the percentage of capital increase. Further analyses show this effect remains only in the short term.Research limitations/implicationsThe study is limited to the Brazilian market and the period spanning 2010–2021; therefore, the findings may not be generalized to other markets or periods.Practical implicationsInvestors gain insights into IPO risks during crises, while issuers can adjust their strategies.Social implicationsInforming policymakers and regulators about market stability and investor protection.Originality/valueNovel evidence on IPO underpricing in an emerging market during an extreme exogenous shock, highlighting the role of pandemic-related fear.
