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Composite materials are effective alternatives for rehabilitating critical members of offshore platforms, bridges, and other structures. The structural response of composite reinforcement greatly depends on the orientation of fibres in the composite material. Joints are the most critical part of tubular structures. Various existing studies have identified optimal reinforcement orientations for a single load component, but none has addressed the combined load case, even though most practical loads are multiplanar.

This study investigates the optimal orientation of composite reinforcement for reducing stress concentration factors (SCF) of tubular KT-joints. The joint reinforcement was modelled and simulated using ANSYS. A parametric study was carried out to determine the effect of the orientations of reinforcement in the interface region on SCF at every 15° offset along the weld toe using linear extrapolation of principal stresses. The impact of orientation for uniplanar and multiplanar loads was investigated, and a general result about optimum orientation was inferred.

It was found that the maximum decrease of SCF is achieved by orienting the fibres of composite reinforcement along the maximum SCF. Notably, the optimal direction for any load configuration was consistently orthogonal to the weld toe of the chord-brace interface. As such, unidirectional composites wrapped around the brace axis, covering both sides of the brace-chord interface, are most effective for SCF reduction.

The findings of this study are crucial for adequate reinforcement of tubular joints using composites, offering a broader and universally applicable optimum orientation that transcends specific joint and load configuration.

The stress concentration factor (SCF) is commonly utilized to assess the fatigue life of a tubular T-joint in offshore structures. Parametric equations derived from experimental testing and finite element analysis (FEA) are utilized to estimate the SCF efficiently. The mathematical equations provide the SCF at the crown and saddle of tubular T-joints for various load scenarios. Offshore structures are subjected to a wide range of stresses from all directions, and the hotspot stress might occur anywhere along the brace. It is critical to incorporate stress distribution since using the single-point SCF equation can lead to inaccurate hotspot stress and fatigue life estimates. As far as we know, there are no equations available to determine the SCF around the axis of the brace.

A mathematical model based on the training weights and biases of artificial neural networks (ANNs) is presented to predict SCF. 625 FEA simulations were conducted to obtain SCF data to train the ANN.

Using real data, this ANN was used to create mathematical formulas for determining the SCF. The equations can calculate the SCF with a percentage error of less than 6%.

Engineers in practice can use the equations to compute the hotspot stress precisely and rapidly, thereby minimizing risks linked to fatigue failure of offshore structures and assuring their longevity and reliability. Our research contributes to enhancing the safety and reliability of offshore structures by facilitating more precise assessments of stress distribution.

Precisely determining the SCF for the fatigue life of offshore structures reduces the potential hazards associated with fatigue failure, thereby guaranteeing their longevity and reliability. The present study offers a systematic approach for using FEA and ANN to calculate the stress distribution along the weld toe and the SCF in T-joints since ANNs are better at approximating complex phenomena than standard data fitting techniques. Once a database of parametric equations is available, it can be used to rapidly approximate the SCF, unlike experimentation, which is costly and FEA, which is time consuming.

The development of the banking industry is encouraging increasingly fierce competition. In the face of banking competition, Islamic banks need to build customer loyalty by paying attention to ethical aspects. Ethics has an essential role in forming and preserve relationships between companies and customers in the long term. The measurement model of salesperson ethical behavior in this study was built using the Islamic-based marketing concept. This study aims to test empirical models of Islamic ethics-based salesperson behavior in increasing customer loyalty of Islamic banks through the aspect of customer trust.

Research data were obtained from 165 Islamic bank customers in the Central Java, Indonesia, using the purposive sampling method. Data analysis in this study uses structural equation modeling.

The study shows that the Islamic ethics-based salesperson behavior has a positive effect on customer trust in a salesperson, customers’ trust in Islamic banks and customer loyalty. Customer trust in a salesperson has positively and significantly influenced customer trust in Islamic banks and customer loyalty. Customer trust in Islamic banks has a positive and significant effect on customer loyalty.

This study’s results are expected to be used to reference maintenance salesperson in Islamic banking to behave based on Islamic principles. Islamic marketing principles need to be applied through salespersons behaving realistically (al-Waqi’iyyah) and humanistic concepts (insaniyyah). The application of Islamic ethics can limit and avoid deviant behavior from salespeople that is detrimental to consumers and organizations. The behavior of salespeople based on Islamic ethics will build consumer trust in both organizations and salesperson so that it has implications for consumer loyalty.

This paper provides new findings to understand Islamic banking consumer loyalty that focuses on Islamic ethical salesperson behavior point of view. This paper also presents a new measurement of research variables from an Islamic perspective in examining the role of Islamic ethics-based salesperson behavior toward banking customer loyalty. This study takes the object of research in Islamic banking that has different characteristics from conventional financial institutions.

Reliance on statistical data on trade and development for Islamic countries cannot forecast the state of the future state of reconstruction of the Muslim World in this field. The limitation here is due to the age‐old debility of the Muslim World to project any significant economic, social and institutional transformation in the light of her own communal interest and self‐reliance. Thus the past economic data on trade and development variables show no pattern of future change. Forecasting with these data simply projects the past state of the Muslim World into the future. For these reasons, a model of reconstruction and transformation of the Muslim World on Islamic grounds necessitates reliance on normative issues. Yet these are issues that are First theoretically modelled and then empirically investigated for viability according to survey data.

The purpose of this study is to see the energy relation to economic growth and find a way to solve the energy crisis for Bangladesh. Bangladesh is facing a high rate depletion of traditional energy sources. Renewable energy technology may be an alternative solution to meeting Bangladesh’s rising energy demand. Despite huge potential, Bangladesh fails to use renewable energy sources properly due to insufficient information and technical knowledge. The present research studied the current energy condition and potentiality of renewable energy with its influence on economic growth in Bangladesh.

This study analyzes the relationship between renewable energy consumption and economic growth of Bangladesh for the period of 2001–2016, based on yearly data, by using multiple regression model where augmented Dickey–Fuller unit root test has been chosen for testing the viability.

The result of this study showed that economic growth of Bangladesh is influenced positively by the consumption of renewable energy.

In addition, SWOT analysis has also done to develop a roadmap, and suggest some policies which will be able to accomplish the country’s climbing energy demands for a short- and long-term solution.

This study is an original work for Bangladesh, showing the results of the relationship between renewable energy consumption and economic growth. Therefore, this research will be useful to contribute to the literature review in the near future.

This study aims to analyse the literature published on ChatGPT and generative pre-trained transformer (GPT) available through Scopus to identify the top countries, institutions, authors, journals and titles in terms of publishing and citations in the area.The research also intends to determine the collaborative trends among countries and authors as well as top-used keywords on the topic identified from the analysed literature.

The researchers searched the Scopus database to collect and assess the literature on the topic. The paper used six applications such as Biblioshiny, VosViewer, Python, MS Access and Excel and Endnote to collect and analyse the literature.

It is found that European countries such as the USA, the UK and Germany took the lead in terms of publishing and impact in the area but the USA stood first with 90 publications and 1,720 citations in this connection. Likewise, the organization “Rheinisch-Westfälische Technische Hochschule Aachen” scored the top position regarding publishing, but Open AI remained on top for getting the highest citations (1,384). Apropos, the author “Choi, Y” produced the highest number of publications. The research also shares the collaborative patterns, top journals and publications in the area, as well as the top-used keywords on the topic.

To the best of the authors’ knowledge, this is the first study that shares a bibliometric analysis of literature published on GPT and ChatGPT. The research not only fills the research gap on the topic but also shares implications for relevant stakeholders and future research directions for future researchers.

Based on the survey data of 650 kiwi growers from Shaanxi and Sichuan provinces, this paper used multiple endogenous transformation regression models to explore the effect of the joint adoption of green production technology on farmer’s welfare. The purpose of the study is to analyze the influence of green production technology on the yield, household income and socioeconomic characteristics of Kiwi fruit growers.

In the context of the study, multiple endogenous transformation model (MESR) are adopted, but self-actualization tactics were adopted to deal with the instrumental variables. The empirical data has been collected via a combined hierarchical sampling and random sampling, whereas a well-structured Likert scale questionnaire was adopted as well. The empirical data has been processed with the help of STATA 15.1 version.

The study found a positive impact of adopting green production technology. Moreover, the joint adoption of green production technology by kiwi growers has significantly increased the yield, economic values of Kiwi and household income of kiwi farmers. The households with higher asset value, better land quality, weaker credit constraints, more technical training and stronger government promotion and support from local governments are the most likely to adopt pest control technology and soil management technology jointly.

The prime innovation of the paper is to measure the impact of technology combination adoption on farmer’s welfare is evaluated, rather than the impact of single sub technology on farmer’s’ welfare.

The popularity of financial technology (fintech) is rising in society due to fintech's direct benefits to users. This digital-based approach is one of the outputs of the Industrial Revolution 4.0, which transformed the path of human history and resulted in the development of digital transformation strategy innovation, more commonly referred to as digitalisation. Previous literature has predicted that integrating fintech into waqf management will facilitate fintech's growth and expand waqf outreach in Malaysia. Therefore, this paper aims to examine the impact of “Industry 4.0” on the expansion of fintech into cash waqf in Malaysia.

This study uses Rogers' (2003) diffusion of innovation (DOI) model. In addition, a quantitative approach based on structural equation modelling (SEM) was utilised to analyse the relationship between awareness, knowledge, relative advantage, social norms, perceived trust and fintech adoption in waqf institutions by using the tool Analysis of Moment Structures (AMOS) version 23.0 with maximum likelihood estimation.

The overall indicate that perceived trust and social norms significantly influence the adoption of fintech by Malaysian waqf. At the same time, other factors such as awareness, relative advantage and knowledge do not appear to significantly influence the adoption of fintech amongst Malaysian waqf institutions.

This study contributes significantly to the current literature concerning the Fourth Industrial Revolution and the wave of technologies. In addition, this study supports relevant theories, including DOI and other technology adoption theories. Aside from this, the study provides empirical contributions to waqf management regarding collecting and distributing waqf, improving the level of regulation of the waqf institutions and enhancing trust between donors, waqf management and beneficiaries. This study is amongst the first in the area of waqf that focus on Malaysian waqf intitutions.

This is important for policy development to support the utilisation of fintech for waqf institutions, which leads to more transparency and efficiency.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2022-0264

The aim of this study was to conduct a systematic literature review (SLR) on vlog marketing. The focus was to analyse the major themes in this field and provide insights for future research directions.

The authors reviewed a total of 49 peer-reviewed publications that include the search terms “vlog” or “video blog” in their titles, keywords and abstracts, retrieved from digital databases Scopus and Web of Science, up to the end of July 2023. Thematic analysis was used to examine and synthesise the articles.

The authors found 19 sub-themes and identified four major themes that emerged from the literature: (1) endorsement outcomes, (2) vlogger characteristics, (3) consumer credibility and (4) vlog content crafting.

There are many unanswered questions in the literature, suggesting that vlog marketing research is still in its infancy, and that in-depth further studies are required for a more comprehensive understanding of the field. This study has identified potential avenues for future research that may contribute to the existing body of knowledge and valuable insights on vlog marketing.