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The Internet of things (IoT), an emerging research field, offers solutions to several problems and may result in a paradigm shift in various areas, including education. However, this approach has been under-utilised. Therefore, this research investigates and highlights the primary factors that influence the impact of the IoT on education and reveals the current state of academic research to manage higher education (HE) resources effectively and efficiently.

Data from 35 academic papers were collected and analysed to understand the current situation and assess the readiness of HE to adopt IoT. A literature review is a well-established method for developing knowledge and interpreting issues under consideration. This study systematically analysed the various research methodologies used to adopt IoT, summarising the content of the studies and highlighting the main factors that may affect IoT adoption in HE.

The authors examined 95 papers; 35 were investigated and analysed. The literature review and analysis of academic papers revealed the factors influencing the adoption of IoT technology in HE.

By examining the evidence, this study contributes to understanding the context and supplements existing research. It conducts a systematic literature review to assess the impact of the IoT on the educational process, proposes future research directions and presents findings that aid the efficient management of HE resources.

The analytical hierarchical process (AHP)’s main purpose is to assess higher hierarchy levels based on the cooperation of its various levels. It results in a well-designed model-based method in which the weights for the selected attribute are calculated using dimensions, criteria, and indicators. This paper aims to highlight the benefits of blockchain in supply chain management with the help of a literature review along with opinions of experts from various sectors.

With the goal of enhancing the use of blockchain technology in supply chain management, particularly when comparing within the same industry, the AHP methodology has been used. In order to develop the AHP model, a total of eight elements are examined in this study, which are decentralization, resiliency, security, smart contracts, sustainability, traceability, transparency and trust. A calculation of a Desirability Index for conventional supply chain and blockchain-enabled supply chains has been also developed.

Findings where that in a blockchain-enabled supply chain, the global weights of individual benefit variables are considerably larger than in conventional supply chains. When the score of the Desirability Index for conventional supply chain and blockchain-enabled supply chain is compared, the blockchain-enabled supply chain significantly surpasses the conventional supply chain in terms of increasing sustainable development in today’s supply networks.

This study takes into account the AHP methodology applying it on blockchain. This has not been done before in the academic world, at least as far as the authors may be aware of. The originality of combining such process with a recent technology such as blockchain highlights the value of this research.

The purpose of this paper is to focus on a supply chain (SC) simulation of all its management processes by means of a multi‐agent system (MAS).

Nowadays, the company must develop its activity in an environment characterized by: globalization, hard competitiveness, the necessity of flexibility and of answering dynamically to a changing demand. Thus, a distributed, autonomous approach, strong enough to face changes is necessary, which is what MASs contribute to. An agent can represent each of the components that form the SC. Then the resulting agent system will own similar characteristics to the ones in the studied SC: autonomy, social abilities, reactivity, pro‐activity.

When analysing the demand for each SC member (from manufacturer to final consumer), one can observe that while consumer demand is a relatively stable feature, the upper link in the chain (the manufacturer), presents a very pronounced variability. This is known as the “bullwhip effect” or “forrester effect” and is mainly due to the fact that the SC members' strategies are not considered as a whole but as a sum of individual strategies. In the proposed system, each agent will be communicated with other “agents” who will be the only responsible for making forecasts based on information provided to it by all components of the chain. The ultimate goal is for each SC echelon to satisfy its own objectives, while at the same time meet the local and external constraints.

In this work a standard SC is proposed (one manufacturer – one distributor – one wholesaler – one retailer) although it could easily be modified to incorporate a bigger number of members in each echelon within the SC.

The paper shows the benefits of using artificial intelligence in the SC management.

This study describes an alternative way of applying failure mode and effects analysis (FMEA) to a wide variety of problems. It presents a methodology based on a decision system supported by qualitative rules which provides a ranking of the risks of potential causes of production system failures. By providing an illustrative example, it highlights the advantages of this flexible system over the traditional FMEA model. Finally, a fuzzy decision model is proposed, which improves the initial decision system by introducing the element of uncertainty.

The aim of the present article is to decide the ideal number of warehouses for a food manufacturer in the north of Spain (Asturias) for the year 2000, and their ideal location in the Spanish Peninsula by cluster analysis. The stages followed are to comment first on the underlying assumptions of the study, then on the methodology and the structure of the program developed to solve the problem, as well as on their input and output files. How the cluster and cost are calculated is discussed and finally the solution to this real case is provided.

Dispatching rules are usually applied dynamically to schedule jobs in flexible manufacturing systems. Despite their frequent use, one of the drawbacks that they display is that the state the manufacturing system is in dictates the level of performance of the rule. As no rule is better than all the other rules for all system states, it would be highly desirable to know which rule is the most appropriate for each given condition, and to this end this paper proposes a scheduling approach that employs inductive learning and backpropagation neural networks. Using these latter techniques, and by analysing the earlier performance of the system, “scheduling knowledge” is obtained whereby the right dispatching rule at each particular moment can be determined. A module that generates new control attributes is also designed in order to improve the “scheduling knowledge” that is obtained. Simulation results show that the proposed approach leads to significant performance improvements over existing dispatching rules.

This chapter argues that there are many, just many many variables which contribute to academic performance as measured in degree outcome, and, as such, simple bivariate analysis is inappropriate. We use structural equation modelling, and explore the contribution of academic behavioural confidence, to make the point that it does contribute to academic performance, but to a lesser extent than self-efficacy theory argues. We suggest that this is because degree outcome is made up of many efficacy variables, which we argue are better captured overall in academic behavioural confidence.

The aim of this study is to assess the mediating effect of source appearance (SA) and self-influencer congruence (SIC) on the relationship between visual content (VC) and customer engagement (CE) towards mobile advertisement.

This study uses a quantitative approach to test the proposed model based on the stimulus–organism–response (SOR) theory. The non-probability purposive sampling technique was used to collect data from Pakistani mobile users through a self-administered questionnaire.

The study results prove that VC alone cannot generate mobile users’ engagement. SA is the key in this regard, which has a relatively higher importance compared to SIC. Furthermore, the serial mediation effect of SA and SIC on CE shows that attractive sources are likely to induce higher SIC and subsequent CE.

The results reveal that without a pleasing SA and positive SIC, mobile users skip the ads by perceiving them to be irritating or interruptive. Mobile ads might cost relatively less, but the advertisers should understand the significance of the SA toward minimizing the mobile advertising skepticism.

Advertisers can enhance the user’s engagement on mobile devices by addressing both the SA and SIC in their VC. The combined effect of both the SA and SIC on CE has not been assessed before. Furthermore, this study has used the SOR mechanism to examine CE.

El objetivo general de esta investigación es evaluar el efecto mediador de la apariencia de la fuente (SA) y la congruencia del auto-influencer (SIC) en la relación entre el contenido visual (CV) y el compromiso del cliente (CE) hacia la publicidad móvil.

Este estudio utiliza un enfoque cuantitativo para probar el modelo propuesto basado en la teoría estímulo-organismo-respuesta (SOR). Se utilizó la técnica de muestreo intencional no probabilístico para recoger datos de usuarios de móviles paquistaníes mediante un cuestionario autoadministrado.

Nuestros resultados demuestran que el contenido visual por sí solo no puede generar el compromiso de los usuarios de móviles. La apariencia de la fuente es la clave a este respecto, que tiene una importancia relativamente mayor en comparación con la congruencia del auto-influencer. Además, el efecto de mediación en serie de SA y SIC en CE muestra que es probable que las fuentes atractivas induzcan un mayor SIC y el consiguiente compromiso del cliente.

Los resultados revelan que sin una SA agradable y una SIC positiva, los usuarios de móviles omiten los anuncios al percibirlos como irritantes o interruptores. Los anuncios para móviles pueden costar relativamente menos, pero los anunciantes deben comprender la importancia de la apariencia de la fuente para minimizar el escepticismo de la publicidad móvil.

Los anunciantes pueden mejorar la participación del usuario en los dispositivos móviles abordando tanto la AS como el SIC en sus contenidos visuales. Hasta ahora no se había evaluado el efecto combinado de la AS y el SIC en el CE. Además, este estudio ha utilizado el mecanismo del SOR para examinar el engagement del cliente.

本研究的总体目标是评估源外观（SA）和自我影响者一致性（SIC）对移动广告视觉内容（VC）和客户参与（CE）之间关系的中介效应。

本研究采用定量方法来检验基于刺激-有机体-反应（SOR）理论提出的模型。研究采用了非概率目的性抽样技术, 通过自填问卷的方式向巴基斯坦移动用户收集数据。

我们的研究结果证明, 仅靠视觉内容并不能引起移动用户的参与。在这方面, 源外观是关键, 与自我影响者一致性相比, 源外观的重要性相对更高。此外, SA 和 SIC 对 CE 的串联中介效应表明, 有吸引力的信息源可能会诱发更高的 SIC 和随后的客户参与。

研究结果表明, 如果没有令人愉悦的SA和积极的SIC, 移动用户就会认为广告具有刺激性或干扰性, 从而跳过广告。移动广告的成本可能相对较低, 但广告商应了解广告源外观对减少移动广告怀疑的重要性。

广告商可以通过在视觉内容中同时考虑广告联盟和广告投放中心这两个因素, 提高用户在移动设备上的参与度。之前从未有人评估过 “SA “和 “SIC “对消费者参与度的综合影响。此外, 本研究还使用了 SOR 机制来考察客户参与度。

The purpose of this paper is to compare and contrast the international trade characteristics of commerce between Latin American countries and some of the top economies in the world, in order to identify new business opportunities for LATAM firms in dynamical external markets.

A triple indexed gravity model, correcting with robust standardized errors clustered, and a panel data analysis was used to obtain the relationship between Latin American countries and advanced and other emerging economies.

The main finding of this paper is that innovation overcomes gravity effects and parameters typical of a knowledge society are the significant ones to explain trade among different regions. The model that includes an innovation proxy accommodates with the new international theories of trade. Besides, communication capacity is essential to reach consumers abroad with newer and more complex products. Moreover, the constant is significant when innovation is included, which may imply intersectoral trade that behaves relatively stable in bilateral trade.

The findings suggest that the economies that have some relevance in trade, have increasing numbers regarding patents. Thus, the empirical findings relate to the theoretical models which state that comparative advantages may be dynamic due to technological innovation.

This paper shows that innovation is a central parameter to engage in intratrade and develop a knowledge-based economy. Latin America sometimes appears to be a puzzle as to how to improve its economic performance and overcome its social and economic problems. Intratrade seems to be the route to increase Latin American business participation in world trade.

El propósito de este documento es comparar y contrastar las características comerciales internacionales del comercio entre los países latinoamericanos y algunas de las principales economías del mundo, con el fin de identificar nuevas oportunidades de negocios para las empresas de LATAM en mercados externos dinámicos.

Se utilizó un modelo de gravedad triple indexado el que se corrigió con errores robustos estandarizados clusterizados, y un análisis de datos de panel para obtener la relación entre los países latinoamericanos y las economías avanzadas y otras economías emergentes.

Uno de los principales hallazgos es que la incorporación de la innovación en el modelo anula el efecto de las variables típicas asociadas a la gravedad. Por lo que se podría suponer que, los parámetros propios de una sociedad del conocimiento son más importantes para explicar el comercio entre las diferentes regiones. El modelo incluye un variable de innovación que se adapta a las nuevas teorías internacionales del comercio. Otro hallazgo es que la capacidad de comunicación es esencial para llegar a los consumidores en el extranjero con productos más nuevos y complejos. Por último, la constante es significativa cuando se incluye la innovación, lo que podría implicar un comercio intersectorial que se comporta relativamente estable en el comercio bilateral.

Los resultados sugieren que las economías que tienen cierta relevancia en el comercio poseen un número creciente de patentes. Por lo tanto, los hallazgos empíricos se relacionan con los modelos teóricos que establecen que las ventajas comparativas pueden ser dinámicas debido a la innovación tecnológica.

Este documento muestra que la innovación es un elemento central para participar en el comercio interno y desarrollar una economía basada en el conocimiento. América Latina a veces parece ser un enigma sobre cómo mejorar su desempeño económico y superar sus problemas sociales y económicos. El comercio intraindustrial parece ser la ruta para aumentar la participación empresarial de América Latina en el comercio mundial.