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The main objective of the paper is to develop an investment model using data envelopment analysis (DEA) that provides a decision-making framework to allocate resources efficiently, such that the relative efficiency is improved within an available investment budget.

Firstly, DEA models are used to evaluate the efficiency of the departments relative to their peers and providing benchmarks for the less efficient departments. Secondly, the inefficiencies in departments are identified. Finally, for the less efficient departments, a decision-support system is introduced for optimizing resource allocation to improve efficiency.

Five of the 18 academic departments were determined to be inefficient, and benchmark departments were found for those departments. The most prevalent causes for inefficiency were the number of undergraduate students per faculty and the number of graduate students. Results from the investment model for department 12 suggest increasing the number of faculty by 2 units and H-Index by 0.5 units, thereby, improving the relative efficiency of the department by 6.8% (88%–94%), using $290,000 out of $500,000 investment budget provided.

When an investment budget is available, no study has used DEA to develop a decision-support framework for resource allocation in academic departments to maximize relative efficiency.

This study proposes practical digitalization strategies and well-grounded evaluation criteria for maritime container supply chains.

The authors identified the status of supply chain digitalization of the Port of Busan in South Korea and developed three digitalization strategies based on industry requirements and consultations with port experts. The authors proposed 11 evaluation criteria for examining the main digitalization strategies in the supply chain operations reference model, based on a survey among 46 experts and used multi-criteria decision-making approaches to prioritize the strategies and evaluation criteria.

The results delineate the status of the digitalization of a real-world port-focal supply chain. The model can be successfully customized to include well-grounded evaluation criteria for digitalization strategies, and presents a practical way to advance the supply chain digitalization strategies. Based on the survey and evaluation, the authors find that increasing data accessibility and improving quality are preferred to adopting a data and information sharing platform.

As the study is limited to the Port of Busan, future case studies could be undertaken to container supply chains driven by different regional ports.

Stakeholders, such as truckers, terminal operators, and shipping liners, might consider the proposed strategies and evaluation criteria when digitalizing their supply chains.

By identifying the needs and specifications of maritime container supply chain digitalization strategies, developing evaluation criteria, and conducting a case study for proof of concept, the study proposes an operational management process with practical, real-world benefits for port-focal supply chains.

Taking as a case study the city of San Carlos de Bariloche – in northern Patagonia, Argentina – this paper aims to compare its urban structure with previous urbanization models and identify some characteristics of this tourist city that could inspire the construction of an adapted urban model for Latin American tourist cities, particularly those based on natural attractions.

Based on multivariate analysis of population census data and local economic statistics, this paper compares the residential location of different social groups and the location of main economic activities in Bariloche. First, principal component analysis (PCA) is combined with cluster analysis to classify Bariloche’s neighborhoods. Second, different maps are analyzed to study the location of economic activities, in comparison with previous clusters.

The results of this paper show that Bariloche partially adjusts to previous urbanization models, as the landscape and physical environment determine the characteristics of its urban growth, as well as the development of tourist activities. Therefore, this paper then proposes an adapted urban model for the case of Bariloche, which could be also contrasted with other Latin American tourist cities in the future.

Bearing in mind that there is no model of Latin American tourist cities so far, this paper tries to analyze to what extent the assumptions and patterns of previous urban models could be adapted to Latin American tourist cities, such as Bariloche, which base their attractiveness and economic dynamism on its natural physical environment.

This paper aims to propose a study on the static behavior of prismatic tensegrity structures and an innovative form for determining the effect of mechanical properties and geometric parameters on the minimal mass design of these structures.

The minimal mass design in this paper considers a stable class-two tensegrity tower built through stable models. Using the proposed structures, comprehensive parametric studies are performed to examine the mass (in which the masses of joints are ignored), the mass ratio between a class-two tensegrity tower and a single element, both having the same diameter and length and afterward determine a reliable mass saving structure under various circumstances.

The simulations show that the mass ratio versus the number of units is a nonlinear regressive curve and predicts that the proposed model outperforms the standard model when the variation parameter considered is a vertical force. The difference in mass between these structures is visible when the gap gradually decreases while the number of units increases. On the geometrical aspect, the gap between the masses is not significant.

This paper helps to understand the influences of geometric parameters and the mechanical properties on the design of cylinder tensegrity structures dealing with a compressive force.

This paper aims to present a reconfiguration strategy for actuated tensegrity structures. The main idea is to use the infinitesimal mechanisms of the structure to generate a path along which the tensegrity can change its shape while maintaining the equilibrium.

Combining the force density method with a marching procedure, the solution to the equilibrium problem is given by a set of differential equations. Beginning from an initial stable position, the algorithm calculates a small displacement until a new stable configuration is reached, and recurrently repeats the process during a given interval of time.

By means of three numerical simulations and their respective experimental example, the efficacy of this algorithm for reconfiguring the well-known three-bar tensegrity prism along different directions is shown. The proposed method shows efficiency only for small changes of string length. Further work should consider the application of this method to more complex tensegrity structures.

The advantage of this reconfiguration method is its simplicity for finding new stable positions for tensegrity structures, and the fact that it doesn’t need the information of the material of the structure for the computations.

This study examines the relationship between board capital, including human and social capital, and corporate innovation. We propose two hypotheses: that a board with a higher level of human and social capital, respectively, is expected to have a higher level of innovation. To test these hypotheses, we use data from different sources, including SEC EDGARD-10k, Noah Stoffman, and S&P 500 Capital IQ for US public firms from all industries from 2000 to 2018. Four different innovation measurements are used to proxy for innovation: R&D, patents, citations, and number of new products. We use directors' level of education and industry experience to proxy for board human capital. The directors' social networks and interlocking ties are used to proxy for board social capital. We use fixed effect regressions to test the hypotheses and two-stage least square (2SLS) regressions to address endogeneity issues. We find that boards with higher levels of human capital are highly associated with corporate innovation in terms of citations. The findings imply that firms should hire directors with higher education and industry experience if they wish to increase their innovation.

This study examines the effect of design quality (i.e. appearance, navigation, information and interactivity) on cognitive and affective involvement leading to continued intention to use the online learning application.

We assume that design quality potentially contributes to enhance the individual's involvement and excitement. An experimental prototype is developed for collecting data used to verify and validate the proposed research model and hypotheses. A partial-least-squares approach is used to analyze the data collected from the participants (n = 662).

Communication, aesthetic and information quality revealed to be strong determinants of both cognitive and affective involvement. However, font quality and user control positively influence cognitive involvement, while navigation quality and responsiveness were observed as significant indicators of affective involvement. Lastly, cognitive and affective involvement equally contribute to determining the continued intention to use.

This study will draw the attention of designers and practitioners towards the perception of users for providing appropriate and engaging learning resources.

Prevalent research in the online context is focused primarily on cognitive and utilization behavior. However, these works overlook the implication of design quality on cognitive and affective involvement.

This paper aims to use an imidazole-based n-ionic Gemini surfactant derived from palm oil to inhibit the sulfide stress corrosion cracking of a supermartensitic stainless steel.

The slow strain rate testing technique, hydrogen permeation tests and potentiodynamic polarization curves have been used.

Addition of the inhibitor below the critical micelle concentration (CMC) decreased the corrosion current density (i_corr), but not enough to avoid embrittlement due to the entry of hydrogen into the steel. Instead, the addition of the inhibitor close to the CMC decreased the i_corr, suppressed the entry of hydrogen and inhibited the sulfide stress cracking of steel. Finally, the addition of inhibitor above the CMC led to a slight increase of i_corr and promoted localized corrosion, however, the sulfide stress cracking of steel was inhibited.

A green sulfide stress corrosion cracking inhibitor of a supermartensitic stainless steel has been obtained.

In this exploratory multiple case study, we aim to compare the internationalization of two state-owned enterprises (SOEs) owned by subnational governments with three owned by central governments in Latin America. This study provides a contextualized answer to the question: What are the differences in the internationalization of subnationally owned SOEs compared to central SOEs? This study finds that the speed and diversification of these two types of SOEs’ internationalization differ because they have a different expansion logic. Subnationally owned SOEs have a gradual and diversified expansion following market rules. Central government’s SOEs are specialized and take more drastic steps in their internationalization, which relates to non-market factors.

This study builds an exploratory qualitative comparative case analysis that uses multiple sources of data and information to develop a comprehensive understanding of SOEs through process tracing.

The study posits some assumptions that are confirmed in the case analysis. This study finds relevant differences between sub-national (SSOEs) and central authority (CSOEs’) strategies. SSOEs’ fewer resources and needs to increase income push them to follow a gradual market-driven internationalization and to diversify abroad. CSOEs non-gradual growth is justified by non-market factors (i.e. national politics). CSOEs do not diversify abroad due to the broader set of constituencies they have to face.

Given the exploratory comparative case study of this research, the findings are bounded by the particularities of the cases and their region (Latin America). This paper and its findings can be useful for theory building but it does not claim any generalization capacity.

This study adds complexity into the SOEs phenomenon by distinguishing between different types of SOEs. This paper contributes to the study of subnational phenomena and its effect in SOEs’ internationalization process, which is an understudied topic. To the authors’ best knowledge, this is among the first studies that explore subnational SOEs in Latin America.

The online Question and Answer community is full of a large number of science and technology topics, the discussion and dissemination of which play an important role in promoting the popularization of new technologies and cultivating public enthusiasm for science. However, the spread of false information and rumors weakens the community's positive effect, making the community more difficult for people to obtain useful information on such topics. Research on the influencing factors and governance of the spread of false information on science and technology topics has become the key to the spread of popular science.

Therefore, this paper uses the Elaboration Likelihood Model as the theoretical framework to examine the role of the factors influencing the spread of false information on science and technology topics in Zhihu community on the information persuasion and the impact on public behavior attitude from the core path and the edge path. This paper compiles a crawler program to capture 12,893 response information under the “Metaverse” topic in Zhihu community as an empirical sample and uses text mining and conducts visual correlation analysis to explore the key factors affecting the persuasive transmission path of information on science and technology topics.

The research finds that the content specialization, content consistency and content coherence of science and technology topics affect personal judgment from the aspect of information content through the core path and have a positive correlation with information persuasion; the number of comments, the length of the text and the publishing authors' influence from the edge image characteristics through the edge path are positively correlated with the information persuasion. Then, from the perspective of topic platform, government and topic participants, this paper puts forward a general plan to improve the information persuasion of science and technology topics so as to deal with false information.

Compared with the small data set of the traditional questionnaire survey, the research based on community empirical big data is more reliable. The model takes into account the attitude and behavior of users and is more suitable for the research on the transmission path of scientific and technological information in the internet era. This research provides a direction for analyzing the text characteristics and development trends of information in the field of science and technology and is conducive to promoting the optimization of the network information environment and building a good ecology, with the spread of rumors about science and technology topics curbed and the governance of false information strengthened.