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The study set out to understand how the regional competitiveness index (RCI) in the department of Ancash related to the human development index (HDI) from 2008 to 2021. For a more complete understanding of the findings, each component or dimension of the RCI was analyzed. Ancash's HDI and its competitiveness index over a 14-year period were used as the population for this applied, longitudinal, descriptive-correlational study, which was based on secondary data extracted from the “Instituto Nacional de Estadística e Informática” (INEI) and business school of the Pontificia Universidad Católica del Perú (CENTRUM) statistical databases. Multiple linear regression was used to find the relationship. The research found a strong and positive correlation between regional competitiveness and human development between 2008 and 2021. No correlations were found between the HDI and the health, education, employment, or institutional dimensions of regional competitiveness, but direct and significant correlations were established between the economic environment and the HDI and between the infrastructure dimension and the HDI.

Many scholars and practitioners in the fields of business and management have recently published theoretical and empirical studies on the subject of business culture and its impact on its growth and effectiveness; yet, there has been a dearth of research on the topic of how organizational culture affects productivity. Moreover, there are hardly any theoretical or empirical research that examines these two concepts within the context of a micro-enterprise. This chapter uses a sample of 279 Ancash Region microenterprises to investigate the effect of local entrepreneurial culture on businesses’ overall performance. Among the four types of entrepreneurial cultures studied, only the Hierarchical culture was shown to have no effect on the degree of performance of the microenterprises. There is evidence of a significant causal relationship between the variables studied, the coefficient of determination was; business performance (r² = 0.796), with an SRMR of 0.037, the confirmatory model is relevant within its range of accuracy, while market culture has the greatest impact on business performance.

This qualitative research articulates the perspective that educational institution directors have on the meaning of management action and the need for training in this area. Significant research findings include the importance of training in three specific aspects: technical knowledge, virtues, and managerial competencies. Study participants emphasized that experience alone is insufficient to run a school, which is an important job not only for educating students, but also for the impact it has on the entire educational community (i.e., managers, administrative and service staff, teachers, and parents).

There are longstanding concerns about the sustainability of the US health care system. Payment reform has been seen over the last decade as a key strategy to reorienting the US health care system around value. Alternative payment models (APMs) that seek to accomplish this goal have become increasingly prevalent in the US, yet there is a perception that physicians are resistant to their use and that organizations have been slow to adopt such models. The reasons for the limited effectiveness of APM programs are multifactorial and include aspects related to the design and implementation of these programs and lack of alignment and coordination across different payers and health care sectors. Most importantly, however, is that the current organizational structures in US health care serve to dampen the direct impact of these incentives, often because health care delivery organizations face conflicting incentives themselves. Organizations filter and refine the incentives from multiple external payment contracts and develop internal incentive systems that best reflect the amalgamation of the incentives embedded across their contracts, and thus the fragmented nature of the US health care system serves to undermine efforts to transform care under value-based contracts. In addition to organizations having conflicting incentives, there also are fundamental problems with the design and implementation of APMs that hinder their acceptance among physicians and the organizations in which they work. Moreover, much remains to be learned about how organizations can best adapt to succeed under these models, and how organizational culture can be leveraged to transform care.

This chapter discusses the findings of a qualitative study conducted on the US–Mexico border to investigate preservice bilingual teachers’ understandings of the effective practices needed to teach content in bilingual classrooms. Specifically, participants’ understandings of teaching language through content to emergent bilinguals and the role of academic language in a content methods course taught in Spanish for preservice bilingual teachers were explored. The results of the study show that preservice bilingual teachers struggled to internalize how to develop language objectives that embed the four language domains as well as the three levels of academic language into their content lessons. Although participants emphasized vocabulary development, they integrated multiple scaffolding strategies to support emergent bilinguals. Moreover, although preservice bilingual teachers struggled with standard Spanish, they used translanguaging to navigate the discourse of education in their content lessons. The use of academic Spanish was also evident in participants’ planning of instruction. The authors contend that bilingual teacher preparation would benefit from the implementation of a dynamic bilingual curriculum that: (a) incorporates sustained opportunities across coursework for preservice bilingual teachers to strengthen their understanding of content teaching and academic language development for emergent bilinguals; (b) values preservice bilingual teachers’ language varieties, develops metalinguistic awareness, and fosters the ability to navigate between language registers for teaching and learning; and (c) values translanguaging as a pedagogical strategy that provides access to content and language development.

With the current wave of modernization in the dairy industry, the global dairy market has seen significant shifts. Making the most of inventory planning, machine learning (ML) maximizes the movement of commodities from one site to another. By facilitating waste reduction and quality improvement across numerous components, it reduces operational expenses. The focus of this study was to analyze existing dairy supply chain (DSC) optimization strategies and to look for ways in which DSC could be further improved. This study tends to enhance the operational excellence and continuous improvements of optimization strategies for DSC management

Preferred reporting items for systematic reviews and meta-analyses (PRISMA) standards for systematic reviews are served as inspiration for the study's methodology. The accepted protocol for reporting evidence in systematic reviews and meta-analyses is PRISMA. Health sciences associations and publications support the standards. For this study, the authors relied on descriptive statistics.

As a result of this modernization initiative, dairy sector has been able to boost operational efficiency by using cutting-edge optimization strategies. Historically, DSC researchers have relied on mathematical modeling tools, but recently authors have started using artificial intelligence (AI) and ML-based approaches. While mathematical modeling-based methods are still most often used, AI/ML-based methods are quickly becoming the preferred method. During the transit phase, cloud computing, shared databases and software actually transmit data to distributors, logistics companies and retailers. The company has developed comprehensive deployment, distribution and storage space selection methods as well as a supply chain road map.

Many sorts of environmental degradation, including large emissions of greenhouse gases that fuel climate change, are caused by the dairy industry. The industry not only harms the environment, but it also causes a great deal of animal suffering. Smaller farms struggle to make milk at the low prices that large farms, which are frequently supported by subsidies and other financial incentives, set.

This paper addresses a need in the dairy business by giving a primer on optimization methods and outlining how farmers and distributors may increase the efficiency of dairy processing facilities. The majority of the studies just briefly mentioned supply chain optimization.

Chatbot technology is growing swiftly across the banking and finance industry. The study aims to explore the influence of Task-Technology Fit (TTF), system suitability, perceived usefulness, social influence and satisfaction on respondents’ continuance intention among the chatbot-users. A total of 250 responses were collected using a structured questionnaire via social media across India. The measurement model was proposed based on the system usability (SUS) and TTF model with other constructs, and the hypothesis was tested using a structural equation model. The findings of the study highlighted and confirmed the association among five constructs: TTF, SUS, perceived usefulness, social influence, on satisfaction and continuance intention in the context of chatbots usage in banking.

Microenterprises (MEs) are vital to the growth and prosperity of economies around the world. All levels of society, from universities to national governments, have collaborated to improve the chances of survival and future growth of these businesses. The threat to life is serious, and unless concerted action is taken, the situation will spiral out of control. Policymakers and business leaders must work together to address the sustainability crisis. The study, therefore, set out to determine how various entrepreneurial skills (such as creativity, collaboration, networking, and risk-taking) affect the long-term viability of MEs. The overall objective of the study was to determine the importance of innovative problem-solving, collaboration, networking, and willingness to take calculated risks of microentrepreneurs for the long-term success of their businesses. A total of 274 microentrepreneurs in rural areas of the Ancash region of Peru were surveyed in the grocery, hardware, clothing, and food service sectors. The survival of the MEs was tested on four dimensions: innovation, leadership, networking, and risk-taking. According to the results, MEs managers can increase their longevity by cultivating creative skills, strengthening leadership as a key to business sustainability and survival, maximizing the use of networks to gain a market advantage and expand their customer base, and employing calculated risk-taking.

Financial inclusion in Peru has been addressed through coverage, quality of financial services, movement of transactions, and service points. The purpose of this chapter is to evaluate for the department of Ancash, Peru, the link between financial inclusion and its socioeconomic factors. Socioeconomic variables and financial inclusion of the Ancash department of the National Household Survey are taken as indicators, later contrasted through the logit model, with the financial inclusion variable being the explained variable.

There is evidence of positive and negative relationships between financial inclusion and socioeconomic variables; these are important components for planning financial inclusion. Raising the levels of formal employment, the educational level and considering the area of residence would be a strategy to generate a dynamic of inclusion in the department of Ancash.