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The research effort on entrepreneurship education has been mainly for the higher education settings and on the individual level of analysis. On the contrary, this research urges scholars to expedite attention to the secondary education settings, especially in the emerging economies in Asia and Africa. This paper aims to reveal the existing landscape of literature development on the topic and promote ecological approaches of constructing entrepreneurship education programs in schools. It advocates the “incubator” role of schools for students and the necessity of establishing socially embedded entrepreneurship education as the playground for future entrepreneurs.

This study followed the systematic literature review as its research design. It obtained 1,555 publications from six academic databases and 60 more publications from expert consulting and backward snowballing technique. Data screening resulted in a total of 101 relevant publications with the upper secondary education as their research context. The qualitative integrative synthesis method was then applied to integrate research evidence to the five circles of systems according to Urie Bronfenbrenner’s ecological systems theory.

This study contributes to the entrepreneurship education and youth career development literature, especially in the developing countries. Results discovered that entrepreneurship education programs, when interacting with ecological systems, resulted in training success. The most frequently studied systems were microsystems; here, there was a dominant focus on program-level reporting and analyzing. There was less focus on other systems such as mesosystems, exosystems or macrosystems. Moreover, only one study was associated with chronosystems, suggesting a significant research gap regarding the longitudinal studies. However, this review validated the different approaches to delivering entrepreneurship education in emerging and developed economies.

One limitation of this research lies in the methodology. The inclusion criteria limited the studies to the context of upper secondary education and excluded those of secondary education in general. The sampling method limited the power of this research to analyze and discuss policy-level studies because policies most likely embrace the whole secondary education level as its target. Another limitation is associated with the lack of experimental studies in assessing the comparative advantages of following the ecological approach when constructing entrepreneurship education. It, therefore, remains an undiscussed matter within this study regarding whether following the ecological approach means empirically a better educational choice or not.

This study discusses the implications for policymakers, especially in emerging economies, and suggests that awareness, attention and funding are needed to empower youth entrepreneurship education from an ecological systems view.

To the best of the authors’ knowledge, this research is one of few studies that use the ecological systems theory in the context of entrepreneurship education with the purpose of focusing on environment-level analysis instead of individual-level analysis. Through the systematic literature review, this study proposes an ecological approach to comprehend, guide, evaluate and improve the design and implementation of entrepreneurship education programs in schools based on well-articulated research evidence. The research can inform both researchers and educators by offering a holistic perspective to observe and evaluate entrepreneurship education programs and their levels of social connectedness.

The purposes of this research are to study the theory and method of multi-attribute index system design and establish a set of systematic, standardized, scientific index systems for the design optimization and inspection process. The research may form the basis for a rational, comprehensive evaluation and provide the most effective way of improving the quality of management decision-making. It is of practical significance to improve the rationality and reliability of the index system and provide standardized, scientific reference standards and theoretical guidance for the design and construction of the index system.

Using modern methods such as complex networks and machine learning, a system for the quality diagnosis of index data and the classification and stratification of index systems is designed. This guarantees the quality of the index data, realizes the scientific classification and stratification of the index system, reduces the subjectivity and randomness of the design of the index system, enhances its objectivity and rationality and lays a solid foundation for the optimal design of the index system.

Based on the ideas of statistics, system theory, machine learning and data mining, the focus in the present research is on “data quality diagnosis” and “index classification and stratification” and clarifying the classification standards and data quality characteristics of index data; a data-quality diagnosis system of “data review – data cleaning – data conversion – data inspection” is established. Using a decision tree, explanatory structural model, cluster analysis, K-means clustering and other methods, classification and hierarchical method system of indicators is designed to reduce the redundancy of indicator data and improve the quality of the data used. Finally, the scientific and standardized classification and hierarchical design of the index system can be realized.

The innovative contributions and research value of the paper are reflected in three aspects. First, a method system for index data quality diagnosis is designed, and multi-source data fusion technology is adopted to ensure the quality of multi-source, heterogeneous and mixed-frequency data of the index system. The second is to design a systematic quality-inspection process for missing data based on the systematic thinking of the whole and the individual. Aiming at the accuracy, reliability, and feasibility of the patched data, a quality-inspection method of patched data based on inversion thought and a unified representation method of data fusion based on a tensor model are proposed. The third is to use the modern method of unsupervised learning to classify and stratify the index system, which reduces the subjectivity and randomness of the design of the index system and enhances its objectivity and rationality.

This paper aims to study the corrosion inhibition behavior of imidazopyridine and its three derivatives on brass.

The authors performed weight loss experiments, electrochemical experiments including the polarization curve and electrochemical impedance spectrum, corrosion morphology observation using scanning electron microscope (SEM) and atomic force microscope (AFM) and surface composition analysis via X-ray photoelectron spectroscopy (XPS) to analyze the corrosion inhibition behavior of imidazopyridine and its three derivatives on brass by using quantum chemical calculation (Gaussian 09), molecular dynamics simulation (M-S) and Langmuir adsorption isotherm.

According to the results, imidazole-pyridine and its derivatives were found to be modest or moderately mixed corrosion inhibitors; moreover, they were spontaneously adsorbed on the metal surface in a single-layer, mixed adsorption mode.

The corrosion inhibition properties of pyrazolo-[1,2-a]pyridine and its derivatives on brass in sulfuric acid solution were analyzed through weight loss and electrochemical experiments. Moreover, SEM and AFM were simultaneously used to observe the corrosion appearance. Furthermore, XPS was used to analyze the surface. Then, Gaussian 09 and M-S were combined along with the Langmuir adsorption isotherm to investigate the corrosion inhibition mechanism of imidazole-[1,2-a]pyridine and its derivatives.

Rising expectations for exceptional customer experiences demand strategic amalgamation of cross-functional, customer-focused teams (marketing/sales/service departments). However, the long history of interface conflicts between functional teams continues to attract research attention. Past research has given more attention to conflicts between marketing and sales teams than to triadic interface conflict between custom-focused teams and their sub-conflicts in a business-to-business (B2B) sales process. The purpose of this research paper is to quantify the triadic interface conflicts and associated sub-conflicts between customer-focused teams, discuss conflict resolution strategies and perform a sensitivity analysis (SA) to give a fuller account of functional team conflict.

Multi-criteria decision-making (MCDM) based in the analytic hierarchy process (AHP) is proposed for identifying and resolving conflicts in customer-focused team interfaces. A group of 30 managers of a large electronics company participated in this research. The authors collected the data from customer-focused team managers during training sessions on interface conflicts and conflict management/resolution strategies. The authors perform SA to test the robustness of conflict resolution strategy rankings.

The findings reveal that managers adjudge task as the most crucial conflict attribute driving teams apart, followed by lack of communication. For the sub-conflicts, managers considered how to do the task as the most important conflict attribute, followed by lack of regular meetings. For conflict resolution strategies, managers regarded collaboration or integration as the overall best strategy, followed by compromise. Leveraging the AHP-based MCDM to resolve customer-focused team interface conflicts provides managers with the confidence in the consistency and the robustness of these solutions. By testing the SA, it is also discovered that the final outcome stayed robust (stable) regardless when the priorities of the main criteria influencing the decision are increased and decreased by 5% in every combinations.

This study examined only a large B2B company in the electronics industry in African and Middle East settings, focusing on interface conflicts among customer-focused departments. Future research could address these limitations.

This paper advances our understanding of customer-focused team interface conflicts in a B2B sales process. It also provides valuable insights on effective management of major and sub-interface conflicts. This paper provides a framework for and practical insights into how interface conflicts that are prevalent in marketing, sales and service sectors can be resolved to improve customer experience and business performance.

This study contributes to the literature by developing an AHP-based MCDM, which not only extends our conceptual understanding of the interface conflicts between customer-focused teams by emphasizing their triadic nature but also provides valuable strategies and insights into the practical resolution of such conflicts in a B2B firm’s sales process. Methodologically, SA is valuable to ensuring the robustness of the conflict resolution strategies’ rankings that will influence relevant pragmatic decision-making.