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This narrative inquiry centers on teachers' longitudinal experiences of policy-related reforms systematically introduced to T. P. Yaeger Middle School, a campus located in the fourth largest, second most diverse city in America. The embedded research study, with roots tracing back to 1997, uses five interpretive tools to capture six mandated changes in the form of a story serial. Special research attention is afforded pay-for-performance, the sixth reform in the series. The deeply lived consequence of receiving bonuses for his teaching performance prompted Daryl Wilson, Yaeger's long-term literacy department chair, to proclaim “data is [G]od.” Wilson's emergent, inventive metaphor aptly portrays the perplexing conditions under which his career ended, and how my long-term research project likewise concluded.

This chapter explores conflict in digital transformation as a leadership challenge. The authors maintain that conflicts cannot be left to HR managers; rather, they must be anticipated, handled adeptly and made a leadership priority. Although conflict resolution is a well-researched area, this is not the case for authentic leadership in digital transformation. Thus, the field is ripe for empirical research. Pitman and Reilly call for research on conflict in digital transformation, the role of leadership in averting and resolving conflicts and whether these roles change understanding of authentic leadership. The impact of AI warranting a revision of orthodox authentic leadership theory represents a further domain of potential research.

Despite an enormous growth of the literature and research on inclusive education during the last two and a half decades, theory and practice on inclusive education are still inconsistent across the education systems worldwide. It is defined, conceptualised and practised differently across diverse socioeconomic contexts and groups of scholars and practitioners. While some promote educating all students in a mainstream classroom setting irrespective of their abilities and physical, emotional and behavioural challenges, others emphasise improving the overall quality of education for all children from diverse backgrounds. Given that education is a multidimensional social enterprise, promoting a single perspective at the cost of others or merely emphasising the role of schools and teachers may hardly result in improved education outcomes and guarantee equal learning opportunities for all. This chapter will critically review the relevant theory and discuss the different approaches to inclusive education. Then it will discuss the potential challenges to inclusive education across the education systems. Finally, the chapter will offer an inclusive way forward for improving the quality of education for all children, irrespective of their backgrounds, in mainstream schools in multicultural contexts.

There seems to be no controversy about Nigeria being an agricultural country with food sufficiency up till the late 1970s. However, in recent times the country is finding it very difficult to provide sufficient food for the teeming population which has resulted in the majority of the country’s citizens slipping into poverty. The ability of the country to provide sufficiently for the citizens was a result of a lack of reliable and effective developmental and transformational strategies in the agricultural sector of the country which is a major employer of labour in the rural community. To this end, this chapter mainly focuses on factors inhibiting the development of agricultural companies in Nigeria and how to overcome the developmental barriers in the agricultural sector in Nigeria. The findings from the review show that the bane of the agricultural sector in Nigeria is due to the lack of an agricultural regulatory framework and policy transmission mechanism and over-dependence on oil revenue amongst other things (Adams, 2016). It is therefore imperative for the country to embark on the development of a reliable agricultural framework and model that will aid food sufficiency in the country.

This research examines Indian women entrepreneurs’ endeavours to keep their undertakings above water amid the COVID-19 emergency in 2021–2022. This study centers around female-possessed endeavours in Rajasthan, with a particular spotlight on how artificial intelligence (AI) assists them in getting by. It examines how Indian women entrepreneurs used social media to stay in business during the pandemic and adds to information collection by inspecting women-claimed micro and small enterprises (MSEs) and their use of AI through social media during COVID-19. We administered a questionnaire to a sample of 100 female entrepreneurs who use social media platforms to manage their businesses. The researchers found that the pandemic fundamentally affects women entrepreneurs, especially those who run MSEs, using an anti-tactical approach to deal with survey information from 100 respondents. Women have seen a drop in pay because of lower deals, hindered supply chains, and the inconvenience of paying credit portions. Regardless of how women entrepreneurs are especially delicate to monetary shocks, most need to approach government or private-area help. The significance of virtual entertainment through AI in saving women’s ventures is featured in this review. Web-based entertainment has become famous for helping women sell their businesses, contact new clients, and keep current clients. Women entrepreneurs have reduced their losses as a result of forceful advancements supplemented by appealing offers like limits, various administrations, and advertising. We infer that during an emergency, women entrepreneurs embraced innovative methods to keep their businesses reasonable.

This chapter offers novel insights into how global corporations can innovate to tackle the global waste crisis and gain sustainable competitive positions. Using two of the most prominent types of global waste crises – food and plastic wastes – we discuss the dilemma of food and plastic waste, why innovations in global firms are needed to address them, and argue that a different perspective among those firms is needed, one which conceptualizes the development, dissemination and use of innovations in waste management, and one which recognizes that innovations, thus, created contribute to advancing the creation of economic, environmental and social value. We conclude using an overarching conceptual framework that depicts the complexity of the new perspective.

This study aims to benchmark the operational efficiency of fifty-eight public hospitals across Mexico between 2015 and 2018 and identifies the most critical inputs affecting their efficiency. In doing so, the study analyzes the impact of policy changes in the Mexican healthcare system introduced in recent years.

To measure the operational efficiency of Mexican public hospitals, data envelopment analysis (DEA) window analysis variable returns to scale (VRS) methodology using longitudinal data collected from the National Institute for Transparency and Access to Information (IFAI). Hospital groups are developed and compared using a categorization approach according to their average and most recent efficiency.

Results show that most of the hospitals in the study fall in the moving ahead category. The hospitals in the losing momentum or falling behind categories are mostly large units. Hospitals with initially low efficiency scores have either increased their efficiency or at least maintained a steady improvement. Finally, the findings indicate that most hospitals classified as moving ahead focused on a single care area (cancer, orthopedic care, child care and trauma).

This study examined the technical efficiency of the Mexican healthcare system over a four-year period. Contrary to conventional belief, results indicate that most public Mexican hospitals are managed efficiently. However, recent changes in public and economic policies that came into effect in the current administration (2018) will likely have long-lasting effects on the hospitals' operational efficiency, which could impact the results of this study.

To the best of authors’ knowledge, this is the first study that examines the efficiency of the complex Mexican healthcare system using longitudinal data.