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This study aims to explore the evolutionary trajectories of technological innovation using 1,361 documents to determine the most cited documents, influential authors, prominent journals and leading countries in the field of technological innovation research.

In this paper, the intellectual structure of technological innovation literature was studied using bibliometric co-occurrence and co-citation analyses. The authors focused on the 1,361 documents in this research stream published between 1961 and 2019.

The findings show that researchers do not appropriately draw on theoretical perspectives external to the field to study different dimensions of technological innovation. This study reveals six distinct areas within the literature: sources of innovation, environmental innovation and technological innovation, investment, economic growth of countries, technological innovation systems for sustainable development, innovation system, research and development and competitiveness.

This study investigates the foundations of the conception, themes and research communities within the technological innovation domain. This paper found strong evidence that technological innovation is one of the keys to the research area in innovation studies.

Organizations need actionable knowledge to cope with environmental uncertainty, make effective decisions and develop innovation strategies. Since innovation evolves through generations, the present study aims to unravel and define innovation intelligence, considering this transformation, and discuss how environmental uncertainty is resolved in each one.

This article is a conceptual paper that employs a typology and model approach in its research design

Contexts are categorized into ordered and unordered (according to the Cynefin framework), in which intelligence with prediction and control approaches are applied for uncertainty management, respectively. Also, the three generations of innovation management, namely, technology push, market pull and a combination of these two (hybrid), intelligence benefit from a prediction approach, and in the networked (collaborative) generation, intelligence takes advantage of a control approach.

The conceptual approach adopted in this research is limited to, and focused on, understanding intelligence, innovation intelligence and presenting preliminary insights into their relationship with uncertainty management.

This research guides decision-makers to adopt the appropriate intelligence approach to manage uncertainty during their innovation management process and illustrate it by the industry uncertainty matrix and COVID-19 pandemic situation.

This study proposes a typology of intelligence based on different knowledge pyramids. Also, it introduces innovation intelligence and its relation to knowledge management and environmental uncertainty management that has not yet been clearly addressed in the literature. Moreover, it determines the uncertainty management approaches for each variant of innovation intelligence.

Study of corrosion behaviour could benefit from quantum chemical calculation to investigate the role of adsorption of main anions such as OH⁻ and Cl⁻ on metallic surfaces. The purpose of this study is to report the quantum chemical study of aluminium immersed in NaOH, NaCl and HCl solutions and verifying the calculations by potentiodynamic and open-circuit potential (OCP) measurements.

The electrochemical evaluations based on potentiodynamic polarization and OCP experiments were carried out. For theoretical investigations, the quantum chemical calculation was performed. In this regard, the adsorption of Cl⁻, OH⁻ and H⁺ on aluminium surface was investigated. Furthermore, the natural bond orbital for the direction and magnitude of charge transfer interactions was calculated.

The calculations indicate that higher interaction energy between ions with the metallic cluster being modelled together with natural bond orbital calculations of direction and magnitude of charge transfer accurately predicts corrosion.

This paper shows that ions such as Cl⁻, OH⁻ and H⁺ cause the corrosion of aluminium in NaOH, NaCl and HCl environments. The overall theoretical data corroborate with experimental results.

Chemical and electrochemical measurements were used to study the corrosion inhibition of aluminium in distilled water using one of pyridine derivatives as corrosion inhibitor.

Corrosion inhibition of aluminum in distilled water was investigated in the absence and presence of different concentrations of 2,6-di methyl pyridine (DMP). Potentiodynamic polarization, open circuit potential and Fourier Transform Infrared Spectroscopy were employed.

Inhibition efficiency of 86 per cent is reached with 0.0187 M of DMP at 25°C. Potentiodynamic polarization showed that DMP behaves as mixed type inhibitor. The inhibitor obeyed the Langmuir adsorption isotherm. The value of ΔG°_ads suggests physico-chemical adsorption of the inhibitor molecule on the aluminium surface.

This paper indicates DMP could be used as corrosion inhibitor to prevent the corrosion of aluminium in in distilled water.

Reliable operation of natural gas pipeline (NGP) is a critical factor in Iran’s economic development. NGP projects go through different ecosystems and considerably affect the environment. Environmental analysis is an essential step toward sustainable development. Tackling the challenges, this paper aims to develop a framework to systematically assess the environmental impact of NGPs.

This study proposes a comprehensive framework for environmental impact analysis of NGPs using Measuring Attractiveness by a Categorical-Based Evaluation Technique (MACBETH). MACBETH protocol is used to calculate the overall environmental scores of projects.

The results indicate that the impact of implementing NGPs on protected areas is of the highest priority, while the impact on vegetation covers is of least priority for assessing the environmental impact of NGP.

The practicality and validity of the model in the case of three candidate routes for the Polkale-Neizar project in Iran are examined. According to the results, the third alternative is selected based on its non-interference in protected areas and less environmental impacts. The proposed model can be modified and applied to perform environment appraisal of other linear projects such as energy, road and railway networks.

This model addresses a range of environmental impacts of implementing NGPs at two levels, with the second level being non-additive. The novelty of this study translates into considering the qualitative and quantitative features of each evaluation criterion applied to linear projects simultaneously using a multi-criteria value measurement.

Aluminum alloy is susceptible to chloride ion attack in sea water, resulting in pitting damage and hence serious security risks for the related applications. To improve the corrosion resistance of Al alloy, micro-arc oxidation (MAO) technology has been developed to produce a protective dense oxide layer on top of Al alloy. However, the mechanism of MAO-induced corrosion resistance is still not fully understood, particularly on local corrosion issue. This paper aims to focus on comprehensively studying the corrosion-resistance mechanism by a series of technologies.

The corrosion behavior of samples was studied by open circuit potential (OCP), potentiodynamic polarization (PDP), electrode impedance spectroscopy (EIS) and localized electrode impedance spectroscopy (LEIS) tests in NaCl solution.

The MAO-coated Al alloy shows a more positive corrosion potential and a higher corrosion current density compared to the untreated counterpart, indicating a significantly enhanced corrosion-resistance. The study of surface morphology and structure also suggest significantly enhanced corrosion-resistance due to the MAO treatment.

Based on the results, a new corrosion model was proposed to describe the influence of MAO treatment on the corrosion process and corrosion mechanism of Al alloy, providing insights on the design of the corrosion-resistance coating for metallic alloys in marine applications.