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The purpose of this work is to honor the wisdoms of Anishinaabe Elders, community and culture by interweaving these teachings with my own (first author) Anishinaabe experiences and a research project. Ceremonies are an important health practice for Anishinaabe people. This project aimed to gain a clearer conceptualization of the protective role of Anishinaabe puberty ceremonies on health in adolescence and across the lifespan.

Spiritual offerings guided this project at every stage including inviting Elders and community members into shared spaces of storytelling and teaching elicitation and grounding me as I carefully adopted the use of a western tool (research) in sacred community spaces. Elders were invited to share their experiences and perspectives. Three community members engaged with the interview transcripts on their own before coming together to discuss themes, patterns and insights that arose for them. This group coding discussion constructed the structural foundation of the findings.

An Anishinaabe perspective on youth development emerged. Key aspects of this model included a foundation of ceremonial experiences that spiritually prepares a child for adulthood and impending life’s challenges. As one transitions into adulthood, they accept the responsibilities of being caretakers of their families and communities and gain new tools to contribute to Anishinaabe society. Ideally, this society prioritizes Anishinaabe spirituality, language and way of life.

Frameworks of health, grounded in unique community wisdoms and worldviews, are imperative to repair spiritual and community relationships damaged in a history of colonialism. An Anishinaabe perspective on youth development may shed light on shared Indigenous experiences of cultural restoration and continuity.

A growing number of organizational scandals, including Apple slowing old devices to increase the sales of new ones, and research on unethical pro-organization behaviors (UPBs) have heightened the need to explore the phenomenon. Extending the current understanding, the study's major purpose is to investigate individual-level factors that may shape their willingness to engage in UPBs. It also inquires whether moral disengagement processes influence this association.

After testing the reliability and validity of the latent constructs and ensuring common method bias did not contaminate the data, the study used the PLS-SEM approach to analyze the primary data collected from 408 full-time Pakistani employees.

Results add to the current understanding by revealing that individual-level dark factor Machiavellianism (MACH) significantly influences employees' willingness to engage in UPBs. Accordingly, affective commitment is another individual-level factor that encourages employees to be a part of UPBs. Lastly, results unveil that employees with a higher moral disengagement are more prone to engage in UPBs.

The study measured employees' willingness or intentions to engage in UPBs, not their actual involvement.

Results clarify to the top management that individuals high on MACH, affective commitment and moral disengagement are more prone to be involved in UPBs.

This study is among the preliminary ones that assess the direct associations between MACH, affective commitment, and UPBs, especially in the Pakistani context. Moreover, exploring the moderating role of moral disengagement between the above associations is also an under-researched phenomenon.

Since the introduction of the outstanding web AI chat system, ChatGPT, it has caused a significant impact in both academia and the business world. Many studies have started to explore its potential applications in various fields. However, there is a lack of research from the perspective of user experience. To fill this theoretical gap and provide a theoretical basis for the operation and design of related services, this study plans to develop a set of evaluation scales for AI chat system user experience and explore the relationship between various factors and user satisfaction.

This study obtained 41 evaluation indicators through literature review and user research. Subsequently, these indicators were used as questionnaire items, combined with satisfaction metrics. A total of 515 questionnaires were distributed, and factor analysis and linear regression were employed to determine the specific elements influencing user experience and the user satisfaction model.

This study found that the factors influencing user experience are usefulness, accuracy, logical inference, interactivity, growth, anthropomorphism, convenience, credibility, ease of use, creativity, and security. Among these factors, only accuracy, anthropomorphism, creativity, and security indirectly influence satisfaction through usefulness, while the rest of the factors have a direct positive impact on user satisfaction.

This study provides constructive suggestions for the design and operation of related services and serves as a reference for future theoretical research in this area.

The study aims to explore the role of ChatGPT, an artificial intelligence (AI) language model, in the field of management education. Specifically, the goal is to evaluate ChatGPT's effectiveness in facilitating active learning, promoting critical thinking, and fostering creativity among students. Additionally, the study seeks to investigate the potential of ChatGPT as a novel tool for enhancing traditional teaching methods within the framework of management education.

This research systematically explores ChatGPT's impact on student engagement in management education, considering AI integration benefits and limitations. Ethical dimensions, including information authenticity and bias, are scrutinized, alongside educators' roles in guiding AI-augmented learning.

The study reveals ChatGPT's effectiveness in engaging students, nurturing critical thinking, and fostering creativity in management education. Ethical concerns regarding information authenticity and bias are addressed. Insights from student and teacher perceptions offer valuable pedagogical implications for AI's role in management education.

While this study offers valuable insights into the role of ChatGPT in management education, it is essential to acknowledge certain limitations. Firstly, the research primarily focuses on a specific AI model (ChatGPT), and findings may not be generalized to other AI language models. Additionally, the study relies on a specific set of educational contexts and may not fully capture the diverse landscape of management education globally. The duration of the research and the sample size could also impact the generalizability of the findings.

The findings of this study hold practical significance for educators and institutions engaged in management education. The integration of ChatGPT into teaching strategies has the potential to improve active learning, critical thinking, and creativity. Educators can utilize this AI tool to diversify instructional methods and accommodate diverse learning styles. However, the practical implementation of AI in the classroom necessitates meticulous consideration of infrastructure, training, and ongoing support for both educators and students. Furthermore, institutions should proactively tackle ethical concerns and establish guidelines for the responsible use of AI in education.

The incorporation of AI, such as ChatGPT, in management education carries broader social implications. The study underscores the significance of addressing ethical concerns associated with AI, including issues related to information authenticity and bias. As AI becomes more widespread in educational settings, there is a necessity for societal discussions on the role of technology in shaping learning experiences. This research advocates for a thoughtful approach to AI adoption, emphasizing the importance of transparency, accountability, and inclusivity in the development and deployment of AI technologies within the educational sphere. The findings prompt reflections on the societal impact of AI-driven education and the potential consequences for students' skills, employment prospects, and societal values.

Originality/Values: This research contributes to the academic discourse by systematically examining the role of ChatGPT in management education, providing insights into both its advantages and potential ethical challenges. The study offers original perspectives on the use of AI in educational settings, paving the way for well-informed decision-making that can shape the future of management education in the evolving landscape of technological progress.

The notion of using a generative artificial intelligence (AI) engine for text composition has gained excessive popularity among students, educators and researchers, following the introduction of ChatGPT. However, this has added another dimension to the daunting task of verifying originality in academic writing. Consequently, the market for detecting artificially generated content has seen a mushroom growth of tools that claim to be more than 90% accurate in sensing artificially written content.

This research evaluates the capabilities of some highly mentioned AI detection tools to separate reality from their hyperbolic claims. For this purpose, eight AI engines have been tested on four different types of data, which cover the different ways of using ChatGPT. These types are Original, Paraphrased by AI, 100% AI generated and 100% AI generated with Contextual Information. The AI index recorded by these tools against the datasets was evaluated as an indicator of their performance.

The resulting figures of cumulative mean validate that these tools excel at identifying human generated content (1.71% AI content) and perform reasonably well in labelling AI generated content (76.85% AI content). However, they are perplexed by the scenarios where the content is either paraphrased by the AI (39.42% AI content) or generated by giving a precise context for the output (60.1% AI content).

This paper evaluates different services for the detection of AI-generated content to verify academic integrity in research work and higher education and provides new insights into their performance.

Going beyond the traditional approach of formal and informal institutions as antecedents of entrepreneurship (directly) and development (indirectly), this paper seeks to explore knowledge institutions as a necessary input for entrepreneurship and the development of societies.

Institutional economics lenses are utilized to observe other factors (e.g. the number of R&D staff and researchers from the public sector) that involve laws and socialization processes, which at the same time create knowledge useful for entrepreneurs and society. These ideas are tested through a sample of 281 observations from 17 autonomous communities and two autonomous cities in Spain. The information coming from the Global Entrepreneurship Monitor (GEM), Ministry of Economics, Industry, and Competitiveness, and INE (Instituto Nacional de Estadística), was analyzed through 3SLS, which is useful for a simultaneous equation strategy.

Knowledge institutions such as the number of R&D staff and researchers from the public sector are found positively associated with entrepreneurship, which is a factor directly and positively linked to economic development across Spanish regions.

The findings help the operationalization of other institutions considered in institutional economics theory and its application to entrepreneurship research. Moreover, the results bring new insights into the knowledge spillover theory of entrepreneurship in the public sector, in which the institutional analysis is implicit.

This paper presents the most up-to-date comprehensive meta-analysis of the effectiveness of interventions to enhance psychological capital (PsyCap). It also reports the first meta-analytic examination of longer-term effects (beyond the immediate post-intervention period).

This meta-analysis followed PRISMA 2020 guidelines and utilised the methodologies of Hunter and Schmidt (2004) and Borenstein et al. (2009). The search period was from 2006 until February 2023. A total of 40 studies (N = 4,207) were included in the meta-analyses. The analyses were performed using the Comprehensive Meta-Analysis (CMA) Version 4 software programme.

The results indicate that the impacts of interventions on PsyCap and each of its component resources are greater than those reported in a previous meta-analysis (Lupșa et al., 2020), with the strongest impacts on hope and optimism. Interventions had sustained positive effects on PsyCap, hope, resilience and optimism, but not efficacy, and the frequency of intervention sessions influenced the effectiveness of interventions on hope, efficacy and optimism. Interestingly, specific PsyCap-focussed interventions did not have the greatest impact on PsyCap or its component resources.

This study contributes to emerging research on wellbeing-oriented HRM and provides valuable insights into more effective design and implementation of interventions to enhance PsyCap and its component resources. These interventions are a promising form of investment in employees which may bring mutual gains for individuals and organisations. The present findings extend those of previous studies and specifically respond to the call for further research on the persistence of PsyCap intervention effects.

This study aims to investigate the daily performance of the proposed microgrid (MG) that comprises photovoltaic, wind turbines and is connected to the main grid. The load demand is a residential area that includes 20 houses.

The daily operational strategy of the proposed MG allows to vend and procure utterly between the main grid and MG. The smart metre of every consumer provides the supplier with the daily consumption pattern which is amended by demand side management (DSM). The daily operational cost (DOC) CO2 emission and other measures are utilized to evaluate the system performance. A grey wolf optimizer was employed to minimize DOC including the cost of procuring energy from the main grid, the emission cost and the revenue of sold energy to the main grid.

The obtained results of winter and summer days revealed that DSM significantly improved the system performance from the economic and environmental perspectives. With DSM, DOC on winter day was −26.93 ($/kWh) and on summer day, DOC was 10.59 ($/kWh). While without considering DSM, DOC on winter day was −25.42 ($/kWh) and on summer day DOC was 14.95 ($/kWh).

As opposed to previous research that predominantly addressed the long-term operation, the value of the proposed research is to investigate the short-term operation (24-hour) of MG that copes with vital contingencies associated with selling and procuring energy with the main grid considering the environmental cost. Outstandingly, the proposed research engaged the consumers by smart meters to apply demand-sideDSM, while the previous studies largely focused on supply side management.

For survival and prosperity, enterprises need to simultaneously engage in exploitation and exploration. Digital transformation is of great significance to enterprise innovation. However, the impacts of digital transformation on exploitation and exploration remain unclear. Moreover, the impacts of technological diversity on the relationships between digital transformation and exploitation and exploration are also unknown.

Based on an integrated perspective of dynamic capability theory and organizational inertia theory and using data from Chinese listed enterprises from 2007 to 2020, this study clarifies the effects of digital transformation on exploitation and exploration and assesses the moderating effect of technological diversity.

The results show that digital transformation improves exploitation, but negatively impacts exploration. Technological diversity mitigates the negative effect of digital transformation on exploration, but the moderating effect on the relationship between digital transformation and exploitation is not significant.

This study contributes to the existing literature on the digital paradox and provides guidance for enterprises to clarify the direction of digital transformation.

Extant literature investigating the tax payment behaviour of politically connected firms largely supports the notion that politically connected firms have tax sheltering incentives, i.e. politically connected firms pay significantly less tax. Our paper adds to this stream of literature by considering the tax payment behaviour of two different groups of politically connected firms in Pakistan, viz. civil connected firms and military connected firms.

The paper sheds light on the tax payment behaviour of politically connected firms and provides evidence that the tax incentives of politically connected firms are shaped by the institutional structure and contextual factors.

The results indicate that civil (military) connected firms pay significantly lower (higher) tax than non-connected firms. The findings hold in the face of a number of robustness tests, including the use of alternative proxies for the tax variable and endogeneity concerns.

These results make a significant contribution to the existing literature examining the tax payment behaviour of politically connected firms by providing evidence suggesting that tax sheltering is not the only viable option for politically connected firms; rather, some groups of connected firms have tax under-sheltering incentives. Our findings add to the political cost hypothesis and the signalling hypothesis in relation to tax payment incentives of politically connected firms.