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The purpose of this paper is to present a new concept based on a neural network validity approach in the area of multimodel for complex systems.

The multimodel approach was recently developed in order to solve the modeling problems and the control of complex systems. The strategy of this approach coincides with the usual approach of the engineer which consists in subdividing a complex problem to a set of simple, manageable sub‐problems that can be solved separately. However, this approach still faces some problems in design, especially in determining models and in finding the appropriate method of calculating validities.

A novel approach based on neural network validity shows very remarkable performances in multimodel for complex systems.

The validity of each model is based on the convergence of each neural network. For a fast convergence the proposed approach can be online to give a good performance in multimodel representation for system with rapid dynamics.

The proposed concept discussed in the paper has the potential to be applied to complex systems.

The suggested approach is implemented and reviewed with a complex dynamic and fast process compared to the residue approach commonly used in the calculation of validities. The results prove to be satisfactory and show a good accuracy.

This study aims to investigate the corrosion inhibition effect of extracted oil from Ziziphus lotus fruit on corrosion of C38 carbon steel in 5.5 M H₃PO₄ solution using potentiodynamic polarization and impedance techniques.

Oil composition was determined using gas chromatography, and the results showed that oleic and palmitic acids present approximately 84.0 per cent of its total chemical content. Electrochemical impedance spectroscopy (EIS) data were analyzed by adapting it to a well-developed electric circuit model. The inhibition efficiency of Z. lotus oil was calculated and compared using Tafel polarization and EIS.

Accordingly, the oil extract was found to act as an anodic type inhibitor. Furthermore, inhibition efficiency of Z. lotus oil extract increase with oil concentrations and achieve approximately 70.5 per cent at 3 g/L solution of Z. lotus oil.

The results obtained from different tested methods were in line, and the oil was able to reduce significantly the kinetics of the corrosion process of C38 carbon steel.

The purpose of this study is to understand the factors influencing Iranian tourists’ behavioural intention to use consumer-generated contents (CGC) websites whilst browsing the web when it comes to travel planning, based upon the Technology Acceptance Model (TAM) extension.

The total of 211 valid responses were collected through an online questionnaire survey. Data collected from Iranian online tourists were used to test the proposed research model by using the partial least squares structural equation modeling method of analysis.

The results of the study indicate that perceived source credibility is the strongest predictor for behavioural intention. Furthermore, in this study, the most significant relationship is between perceived enjoyment and perceived ease of use. However, the findings of this study show that perceived ease of use is unable to predict behavioural intention of Iranian tourists while using CGC websites.

This study provides clear evidence for the importance of additional key variables in improving the authors’ understanding of the Iranian adoption behaviour concerning CGC websites for travel planning purposes. Implications of this research can aid both academicians and practitioners towards a better understanding of tourists’ adoption behaviour when associated with the social media.

This paper adopts TAM and extends it with other variables, namely, perceived enjoyment, perceived source credibility and perceived risk. It examines their influence in the behavioural intention of using CGC for travel planning in the context of Iran for the first time.

This paper aims to identify the nature of the problem of corruption in the telecommunications sector and to identify possible actions to limit it.

A review of instances of corruption, showing the scope of its various forms, with particular emphasis on the Arab states, in the light of recent events.

Policies were advocated for telecommunications that greatly increased the risks of corruption without corresponding measures to ensure integrity, transparency and the investigation and prosecution of those paying and, especially, those accepting bribes.

There is a need for much more raw data and detailing of specific cases, in particular there are no plausible estimates of the overall scale of bribery in the sector.

By repressing bribery in telecommunications it will increase competition in markets, reduce prices and remove the social grievance of “crony capitalism”.

There are, as yet, very few articles analysing the effects of corruption in telecommunications or identifying possible courses of action.

The purpose of this study is to investigate the corrosion inhibition of mild steel alloy in 2 M H₃PO₄ solution by the pomegranate peel extract as a friendly inhibitor was studied at various temperatures, inhibitor concentrations and immersion times.

A weight loss method was used to evaluate the corrosion rate. The experimental Taguchi design method was used for the distribution of experiments. The experimental design gave results which were impossible to show graphically. However, this problem was solved effectively with the aid of regression analysis.

Corrosion rate increased with temperature according to Arrhenius equation. It was found that the efficiency of inhibition was increased with an increase in the concentration of inhibitor and immersion time. However, this diminishes with increased temperature. According to Langmuir isotherm, the inhibitor was adsorbed physically on steel surface. The negative sign of estimated heat of adsorption suggests a stable spontaneous inhibition process. Combination of mathematical and statistical analysis was proposed to demonstrate the results of corrosion rate with high correlation coefficients. In addition, Fourier transform infrared spectrometer examinations confirmed that the organic inhibitor consists of phenolic components as main materials.

Using unconventional approach for evaluation of environmentally friendly inhibitor for corrosion of mild steel in phosphoric acid solution.

This study aims to identify the most frequently used tools and techniques within the measure phase of the define, measure, analyze, improve and control (DMAIC) methodology in the Six Sigma Green Belt body of knowledge (BOK) to standardize training curriculum and reduce barriers to Six Sigma adoption.

This study measures the most frequently used tools within the Measure Phase of the Green Belt body of knowledge by surveying Six Sigma professionals from all industries as to how often they use tools specific to the Measure Phase. Professionals rated ten categories of tools based on frequency use as it pertains to a Green Belt level Six Sigma project. Descriptive analysis, t-tests, and ANOVA were performed on the data using Minitab to identify the most frequently used tool categories.

The findings of this study indicate that the most frequently used measure phase tools and techniques within in the Six Sigma Green Belt BOK are process mapping, control charts, descriptive statistics, graphical analysis, collecting and summarizing data, process capability analysis and Six Sigma statistics (defects per unit, defects per million opportunities, etc.). The research findings indicate that several tools that require a higher level of statistical understanding are used less frequently.

The research study solely analyzed the measure phase tools within the Green Belt Six Sigma BOK. Other Six Sigma bodies of knowledge should be evaluated in their entirety.

Six Sigma training has been identified in previous research studies as a barrier to implementation. By identifying the most frequently used tools and determining that those tools are less statistically intensive, companies may be more inclined to adopt Six Sigma. Reducing the tools required to master to lead and carryout Six Sigma projects can also help to reduce the cost and time required for Six Sigma training.

Many studies have identified the lack of a standardized curriculum for Six Sigma and Lean Six Sigma. This research serves to function as a supportive analysis in identifying the most optimal and useful tools to lead successful Six Sigma and process improvement projects and contributes to the journey of establishing a standardized Six Sigma training curriculum.

This paper aims to investigate an integrated approach that aims at enhancing the application process of value stream mapping (VSM) method. It also proposes an extended VSM called Economic and Environmental VSM(E-EVSM). The proposed approach highlights the improvement of economic and environmental performances.

The proposed approach has studied the integration of VSM, fuzzy decision-making trial and evaluation laboratory (DEMATEL) and fuzzy quality function deployment (QFD) to improve the economic and environmental performances of manufacturing processes. The VSM method is used for data collection and manufacturing process assessment, whereas fuzzy DEMATEL is used to analyse the current state map. Finally, fuzzy QFD is used to organize the improvement phase of VSM method.

The clear findings of this research prove the effectiveness of VSM method on the environmental and economic performances of manufacturing processes. In addition, the proposed approach will show the advantages of fuzzy DEMATEL and fuzzy QFD approaches in improving the application of the VSM method.

The limitation of this study includes the lack of consideration of other dimensions such as social, technological and managerial. In addition, the proposed approach studied an average set of environmental and economic indicators.

The novelty of the proposed approach is proved by the development of an extended VSM method (E-EVSM). Also, the proposed approach contributes by a new methodology for analysing and improving the current state map of manufacturing processes.

The purpose of this paper is to present an overview of the conceptual framework related to the Lean and Green practices, paradigms, future prospects and problems, indicating points of convergence and divergence between them.

Based on this premise, through vast literature systematization, the authors sought to categorize studies in order to consolidate constructs, reinforcing aspects regarding the positive and negative approaches and pointing out the gaps in the current state of the art. Broad literature systematization was carried out; the authors found 107 articles published between 2014 and 2018, separated into 10 categories.

The main constructs confirmed are the positive approximation of the Lean and Green union, evidenced by studies premised on the independent variable category demonstrating that their union influences other environmental performance variables.

The present research is a systematization of the literature, so its results have to be confirmed by other studies.

The study supports the Lean and Green theme, confirming converging issues between the two areas and launching new topics for future research.

The study contributed to the environmental theme by confirming synergies of the Lean and Green union and presenting new research themes.

To assert that Lean and Green systems union is sustainable, with regard to the tripod of sustainability, more studies on the social category are necessary.

The purpose of this study is to formulate a governance and regulatory framework for Islamic crypto assets (ICAs). A balanced regulatory framework is required to protect consumers and to encourage digital Islamic finance innovation.

This study focuses on Indonesia and compares it to other countries, specifically Malaysia and the UK, using statutory, comparative and conceptual research approaches.

The ICAs are permissible (halal) commodities/assets to be traded if they fulfil the standards as goods or commodities that can be traded with a sale and purchase contract (sil’ah) and have an underlying asset (backed by tangible assets such as gold). Islamic social finance activities such as zakat and Islamic microfinance activities such as halal industry are backed by ICAs. The regulatory framework needed to support ICAs includes the Islamic Financial Services Act, shariah supervisory boards, shariah governance standards and ICA exchanges.

This study only examined crypto assets (tokens as securities) and not cryptocurrencies. It used regulations in several countries with potential in Islamic finance development, such as Indonesia, Malaysia and the UK.

The ICA regulatory framework is helpful as an element of a comprehensive strategy to develop a lasting Islamic social finance ecosystem.

The development of crypto assets must be supported by a regulatory framework to protect consumers and encourage innovation in Islamic digital finance.

ICA has growth prospects; however, weak regulatory support and minimal oversight indicate weak legal protection for consumers and investors. Regulating ICA, optimising supervision, implementing shariah governance standards and having ICA exchanges can strengthen the Islamic economic ecosystem.

There are many studies investigating people’s eating habits during the COVID-19 period, and people have been encouraged to eat healthier. Healthy nutrition is made possible by making healthy food choices and food labels are one of the tools that help consumers make healthy food choices. Therefore, the primary aim of this study was to evaluate the impact of the COVID-19 pandemic on consumers’ food label reading behaviours and their level of trust in food labels.

This cross-sectional study was conducted on 1,012 adults aged 18–65 years from seven different regions of Turkey. Participants’ food label reading behaviours and their trust in food label information were assessed using an online questionnaire, and COVID-19 fear scores were determined using the fear of COVID-19 scale (FCV-19S).

Although not statistically significant, participants’ rate of reading food labels increased during the pandemic (65.6% vs 68.7%, p = 0.078). On the contrary, trust in label information decreased significantly (52.1% vs 43.9%, p < 0.001). In addition, increased COVID-19 fear was associated with an increased rate of food label reading and decreased trust in the label information (p < 0.001).

Because of the study’s cross-sectional nature, the authors cannot provide a causal link between COVID-19 fear and food label reading behaviours and trust in food label information. However, it is difficult to investigate this causal link due to difficulties in studies of consumer behaviour and food choice (e.g. multifactorial effects and complexity). Second, because the present study’s findings were based on self-report data, there may be a risk of resource bias. Nevertheless, the authors think that this study will shed light on future studies as it is the first time that the COVID-19 pandemic has investigated consumers’ food label reading habits and their trust in food labels.

Considering the pandemic as an opportunity to change consumer behaviour, it may be useful to provide food label reading education to consumers, especially during this period. In addition, the information given on the label should be clear and understandable for a better understanding of the food label information. Furthermore, it may be beneficial to conduct food inspections more frequently and share the results with the public to increase consumers’ trust in food labels. Moreover, as the food system shifts towards a “new normal”, it is critical for policymakers to understand the changes in consumer perceptions, preferences and trust in foods.

COVID-19 fear affected consumers’ food label reading behaviours. As far as the authors know, there is no study about the effects of COVID-19 on consumers’ food label reading behaviours.