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The purpose of this study is to further investigate the potential benefits brought about by the development of modern technology in the steel construction industry. Specifically, the study focuses on the optimization of tapered members for pre-engineered steel structures, aligning with Eurocode 3 standards. By emphasizing the effectiveness of material utilization in construction, this research aims to enhance the structural performance and safety of buildings. Moreover, it recognizes the pivotal role played by such advancements in promoting economic growth through the reduction of material waste, optimization of cost-efficiency and support for sustainable construction practices.

Structural performance at initial analysis and final analysis of the selected critical frame were carried out using Dlubal RSTAB 8.18. The structural frame stability and sway imperfections were checked based on MS EN1993-1-1:2005 (EC3). To assess the structural stability of the portal frame using MS EN 1993-1-1:2005 (EC3), cross-sectional resistance and member buckling resistance were verified based on Clause 6.2.4 – Compression, Clause 6.2.5 – Bending Moment, Clause 6.2.6 – Shear, Clause 6.2.8 – Bending and Shear, Clause 6.2.9 – Bending and Axial Force and Clause 6.3.4 – General Method for Lateral and Lateral Torsional Buckling of Structural Components.

In this study, the cross sections of the web-tapered rafter and column were classified under Class 4. These involved the consideration of elastic shear resistance and effective area on the critical steel sections. The application of the General Method on the verification of the resistance to lateral and lateral torsional buckling for structural components required the extraction of some parameters using structural analysis software. From the results, there was only 5.90% of mass difference compared with the previous case study.

By classifying the web-tapered cross sections of the rafter and column under Class 4, the study accounts for important factors such as elastic shear resistance and effective area on critical steel sections.

Despite the burgeoning popularity of virtual gifting in live streaming, research lacks an in-depth understanding of the drivers behind this behavior. Using para-social relationship (PSR), this study aims to capture viewers’ lively social feelings toward the streamer as the key factor leading to the purchase behavior of virtual gifts. It also aims to establish a theoretical link between PSR and viewers’ holistic experience in live streaming as captured by cognitive absorption and aims to investigates the role of technological features (i.e. viewer–streamer and viewer–viewer interactivity, streamer-level and viewer-level deep profiling and design aesthetics) in shaping viewers’ experience.

Based on 433 survey responses, this study employs a combination of structural equation modeling and neural networks to offer valuable insights into the relationships between the technological environment, viewer experience and viewer behavior.

Our results highlight the salience of PSR in promoting the purchase of virtual gifts through cognitive absorption and the importance of the technological environment in eliciting the viewer experience. This study sheds light on the development of PSR in a technological environment and its relationship with cognitive absorption.

By applying PSR to conceptualize viewers’ perceived connection with the streamer, this study extends the research on purchase behavior in the non-shopping context by providing an enlightened understanding of virtual gift purchase behavior in live streaming. Moreover, by theoretically linking PSR with cognitive absorption, virtual gift purchase and technological features of live streaming, it enriches the theory of PSR and bridges the gap between the design practice of supporting the IT infrastructure of live streaming and research.

This study explores features that impact consumers' purchase intention through artificial intelligence (AI), because it is believed that through artificial intelligence, consumers' intention to purchase grows significantly, especially in the retail sector, whereby retailers provide lucrative offers to motivate consumers. The study develops a theoretical framework based on media-richness theory to investigate the role of perceived anthropomorphism toward an intention to purchase products using AI.

The study is based on cross-sectional data through an online survey. The data have been analyzed using PLS-SEM and SPSS PROCESS macro.

The results show that consumers tend to demand anthropomorphized products to gain a better shopping experience and, therefore, demand features that attract and motivate them to purchase through artificial intelligence via mediating variables, such as perceived animacy and perceived intelligence. Moreover, trust in artificial intelligence moderates the relationship between perceived anthropomorphism and perceived animacy.

The study investigates and concludes with managerial and academic insights into consumer purchase intention through artificial intelligence in the retail and marketing sector.

The purpose of this paper is to explore the moderating role of Lean Six Sigma (LSS) practices in explaining the relationship between quality management practices (QMPs) and quality performance.

Partial least square-based structural equation modeling (PLS-SEM) was used to empirically examine the moderating effect of LSS practices on QMPs and quality performance in Malaysian medical device manufacturing companies.

Findings revealed that both QMPs and LSS practices have a significant and positive effect on quality performance. Furthermore, LSS practices served as a substitute for moderating the positive relationship between QMPs and quality performance in such a way that the relationship becomes weaker as LSS practices increase.

LSS is acknowledged as the most well-known hybrid methodology; however, due to its relative newness, it has not been studied in great detail. Unlike previous studies, this paper argued that Lean and Six Sigma practices are distinct from its predecessor TQM practices; moreover, both Lean and Six Sigma practices do not need to substitute QM/TQM practices instead of complimenting the QMPs. In addition, this study adds to the growing body of QM literature by empirically examine the effect of LSS practices in moderating the relationship between QMPs and quality performance.

The recent livestreaming commerce has magnified the role of influencer marketing, where the influencers are partnering with brands for product promotion. This study examines the impact of influencer attributes, interaction strategies and parasocial relationships on impulsive buying in livestreaming commerce.

A survey with 368 livestreaming commerce users was analyzed using the symmetric-thinking approach – partial least squares structural equation modeling (PLS-SEM) and asymmetric thinking approach – fuzzy set qualitative comparative analysis (fsQCA).

The results of PLS-SEM indicate that influencer trustworthiness, influencer interactivity and self-disclosure determine parasocial relationships, which in turn influence impulsive buying. The fsQCA finding returned three configurations with various combinations of the causal conditions (i.e. influencer attributes, interaction strategies, parasocial relationships, perceived fit uncertainty and perceived quality uncertainty) explaining the formation of impulsive buying.

These findings provide unique linear and nonlinear insights to explain the combinatory effects of influencer attributes, interaction strategies, parasocial relationships, perceived fit uncertainty and perceived quality uncertainty on impulsive buying in livestreaming commerce.

Switching behavior is predominantly seen in the consumer buying behavior of the mobile industry. This research aims to identify the factors influencing consumers to switch from their present mobile service provider. The consumer of the mobile industry operates in a dynamic and ever-changing environment that is difficult to predict, so this paper aims to focus on these issues.

The selection of factors was made with the help of qualitative study and quantitative research methods for further findings; with the help of a structured questionnaire, a total of 514 valuable responses were collected to get the results. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to analyze the data.

The finding shows that technology and edge-on-competition (TEC) and pricing have a negative influence on customer switching behavior. The switching cost (SC) is the most significant factor and has a positive impact, while service encounter failure (SEF) also positively impacts switching behavior.

The findings provide important implications for consumers switching brands if they are finding alternative offers that are cost-effective and SEF from service providers

The study of one of the largest mobile markets is learning lessons for other markets around the world. This study will be helpful for mobile service provider companies in their branding and marketing strategies. This study will also be helpful to practitioners, educators and researchers in understanding the consumer behavior of mobile users.

The learning of the largest mobile market will be a great learning lesson for other mobile markets around the world. Consumer behavior will help marketers follow ethical practices and make their strategy so a consumer does not switch brands and remain satisfied with the existing brand.

The study provides unique learning for practitioners, educators and researchers to understand the consumer behavior of mobile users. This will help marketers create factors that stop consumers from switching brands and develop strategies to retain customers.

This paper aims to explore the current trends in corruption and investigate the characteristics of corporate gift policies and their role in preventing bribery.

This is a descriptive study based on primary data from a recent sample of Canadian companies’ codes of conduct and secondary data from recent corruption surveys published by non-governmental organisations.

This study shows that 25% of all private and public corruption cases generate financial damages of more than US$1m per case and that 50% of all investigated fraud cases are corruption cases (ACFE, 2022). Furthermore, the Western Europe and EU region is perceived as least corrupt, whereas Sub-Saharan Africa is perceived as the most corrupt region (Transparency International, 2022). However, bribery is fairly common in nine EU countries where 10% or more of public service users bribed public officials to influence their decisions (Transparency International, 2021). Results from primary data show that 9.3% of firms put a total ban on gifts given to governmental officials, whereas 35.2% require a superior’s approval and only 5.5% state a dollar limit for the gift. Results also show that not a single firm prohibits the giving of gifts to non-governmental stakeholders or the receiving of gifts from any type of stakeholder. This paper argues that gifts can bias the recipient’s judgement and improperly influence future business decisions based on the gift’s subjective value, nature and context.

This paper extends previous research by examining the characteristics of corporate gift policies. It also helps organisations improve their gift policies in an effort to reduce corruption.

It is the first paper to investigate the characteristics of corporate gift policies and their role in preventing corruption.

This paper aims to offer the first known synthesis of peer-reviewed literature on trade-based money laundering (TBML). Given the topic is in its nascent stage yet gaining prominence across scholarship and practice, this foundation is pertinent for future TBML research.

A systematic literature review was undertaken with a formulaic search string. Both qualitative (thematic) and quantitative (meta) analysis methods were used to illustrate the findings.

The systematic literature review, using qualitative and quantitative synthesis, led to a thematic categorization of extant TBML literature into four categories: TBML risk assessment, TBML detection, the role of professionals and understanding of TBML. Due to the limited number of studies, insights that can be drawn from the extant literature on the best way to combat TBML are also limited.

As the first systematic literature review on TBML, this study identified that the existing TBML literature has focused on increasing the understanding of the phenomenon in terms of its definition and mechanisms, detection, linkage with other crimes, such as organized crime and terrorism financing, and risk assessment frameworks. The originality of these findings lies in identifying areas future researchers might explore to broaden the academic literature.

The study aims to predict the drivers of green purchase in extended theory of planned behaviour (TPB) by investigating direct and indirect role of consumers' attitude toward green purchase along with moderating effects of green trust and willingness to pay on purchase behaviour in an emerging market.

A total of 417 useable responses were recorded from three different states of north India to resolve the issues related to demographic diversity in country by using a structured questionnaire. Structural equation modelling, mediation and moderation analyses were used to investigate the hypothesised relationships.

The research unveiled that environmental concern, subjective norm have significant direct and indirect influence on green purchase intention via attitude. Furthermore, this study also elucidates that green trust significantly moderates attitude–behaviour, and intention–behaviour relationships, whereas willingness to pay does not significantly moderate these relationships in proposed model.

This study provides interesting insights regarding consumers of emerging market toward green purchase. These insights are useful for marketers to design more focused strategies for enhancing the consumers' preferences for green products and promotion of pro-environmental behaviour in emerging markets.

The novel insights of this study are the mediating role of attitude in an emerging market in extended TPB model and exploration of the moderating role of green trust and willingness to pay premium to reduce the attitude–behaviour and intention–behaviour gaps for enhancing the consumers' preferences for green purchase.

Tourists' environmentally responsible behaviour (ERB) is very important for the environmental sustainability of popular tourist destinations. The main purpose of this research paper is to explore the relationship between environmental citizenship behaviour (ECB) and trust in local government with ERB.

A theoretical model was proposed and tested. Data were collected from domestic tourists (n = 555) visiting Antalya, on the Mediterranean coast of Turkey.

The results show that all dimensions of ECB (helping, engagement and initiatives) have a positive effect on the formation of ERB among domestic tourists. The results also show that trust in the local government of the destination has a moderating effect on the relationship between the two dimensions of ECB (engagement and initiatives) and ERB. The helping dimension of ECB has the highest positive impact factor on ERB. The results provide a comprehensive framework for further research. The proposed model is strongly supported by the findings.

Local policy makers can focus on how to increase the environmental motivation of domestic tourists. Environmentally friendly projects can be developed to attract their attention. This will ensure that they take more responsibility for the environment at the destination.

Understanding the potential impact of local government on tourist behaviour is crucial for sustainability. However, there are few studies that directly examine the moderating effect of trust in local government on the relationship between ECB and ERB. This study addresses this gap and makes novel contributions to the relevant literature.