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The coating process increases the durability, quality and effectiveness of the web, is used in manufacturing of wallpapers, adhesive tapes, wrapping, protection of fabrics and metals, X-ray and photographic films, beautification, books and magazines, film foils, magnetic records, coated paper, etc.

This paper gives a detailed study of the Oldroyd-4 constant fluid rheology during blade coating technique to check the sensitivity of velocity slippage on blade surface and magnetohydrodynamics (MHD) on final coating thickness and other mechanical properties. Heat transfer effects are also considered with viscous dissipation. The governing expressions under Lubrication Approximation Theory (LAT) are shortened and non-dimensionalized. A numerical technique with root finding algorithm is employed to determine the velocity profile, pressure and pressure gradient, shear stress, coating thickness, blade load and temperature profile. Figures and tables are exploited to show and discuss the effects of Hartmann number, slip parameter, geometrical parameter and viscoelastic fluid parameters on the flow and mechanical quantities. Comparison is also presented with previous literature under specific conditions.

From a technical vantage point, blade load and pressure are significant results of research as they lead to varying coating thickness, which gives an efficient coating process and extends substrate life. Shear stress is directly proportional to the magnetic parameter and inversely proportional to velocity slippage on blade surface. Temperature curve increases with increment in magnetic parameter and Brinkman number, while decrease in temperature is detected from slip parameter.

In literature, this investigation fills a gap in the numerical prediction of slip and MHD effects on the thin layer coating of rheological viscoelastic fluid during blade coating phenomena.

The presence and progression of stenosis disturb the normal circulation of blood through an artery and cause serious consequences. The proposed investigation is aimed to assess non-Newtonian characteristics of blood in an elliptical artery having stenosis. The blood is taken as Sutterby fluid flowing via a multi-stenosed elliptical cross-section artery.

The analytical solution of a mathematical model representing the considered problem is extracted in a non-dimensional form by utilizing the perturbation technique under the mild stenosis assumptions.

The graphical nature of these results is examined and discussed comprehensively for different physical parameters. The height and shape of stenosis are noted to have prominent effects on flow velocity. The wall shear stress and flow velocity attained high values in the stenotic portion of the artery. The non-uniform stenosis is observed to create higher resistance to the flow than the uniform stenosis. Further, a high disorder is noticed in the constricted region of the artery by streamlines analysis.

The manuscript completely comprehends the blood’s non-Newtonian flow in the arteries of elliptical shape having multiple stenoses. The present study is about the properties of non-Newtonian blood flow through an elliptical artery with many stenoses. The Sutterby fluid model is used to describe the blood’s non-Newtonian nature. By utilizing presumptions of mild stenosis, the mathematical model’s non-linearity is decreased, and the perturbation method is applied to generate the resulting equations.

The presence of stenosis can significantly impact the circulation of blood flow. When an artery becomes narrowed, it can create a constriction or obstruction in the flow path of blood, which can lead to several important fluid dynamics phenomena, i.e. increased velocity, shear stress, pressure drop, etc. The presence of stenosis can cause various damages and complications in the affected blood arteries and surrounding tissues, resulting in heart attacks or diseases like atherosclerosis.

The work presented in the manuscript was not published earlier in any form.

The purpose of this paper is to investigate the heat transportation rate by using Cattaneo–Christov heat flux model. Furthermore, homogeneous-heterogeneous reaction is also deliberated in the modeling of concentration expression.

The nonlinear PDEs are reduced to ODEs via implementation of applicable transformations. Numerical scheme bvp4c is used to obtain convergent solutions.

The main findings are to characterize the generalized Fourier’s heat flux and homogeneous-heterogeneous reactions in 3D flow of non-Newtonian cross fluid.

It is to certify that this paper is neither published earlier nor submitted elsewhere.

This study undertakes a comprehensive exploration of the relationships between psychological ownership (PO) in playful consumption and its substantial impact on consumer happiness (CH). Specifically, this study aims to investigate the moderating effects of personality and game performance on the association between PO and CH.

Subsequently, this study proceeds to evaluate consumer happiness in the context of playful consumption experiences through two distinct studies, one quantitative and the other experimental. For Study 1, a randomized sample of 453 respondents from Pakistan is utilized, and data is analyzed using SEM (Structural Equation Modeling) techniques. In Study 2, this study employed an EEG emotive insight device, offering valuable insights into the factors associated with psychological ownership. This experimental approach allows exploring the neuro-marketing perspective of players engaging in playful consumption activities.

The research findings demonstrated multiple positive associations with psychological ownership (PO). Perceived control, competitive resistance, emotions, customer participation, personality and performance all exhibited significant positive correlations with PO. Furthermore, the study highlighted that game performance has the capacity to enhance feelings of happiness among participants.

This study offers innovative insights into the mechanisms that underpin consumer happiness and serves as a reliable guide for policymakers, applied psychologists, consumers and marketers who play a role in shaping the future in the domain of happiness and well-being through playful consumption experiences.

This study offers new insights into the processes that drive consumer happiness and provides a vigorous guide for policymakers, applied psychologists, consumers and marketers who shape the futures in the field of happiness and well-being through playful consumption experience.

The ascendancy of modular offsite construction (MOSC) over traditional construction methods is well known. Despite the known potential of this construction approach, its adoption is minimal in New Zealand construction industry. This article investigates the potential benefits of using MOSC for delivery of high-rise buildings in New Zealand, underlying factors responsible for its low uptake and the measures that can facilitate its improved uptake.

This study utilised a mixed research approach. An empirical questionnaire survey was carried out with New Zealand construction industry professionals with expertise in MOSC. Factor analysis of survey data was carried out using SPSS software. Semi-structured interviews were carried out with subject matter experts to get further insights and expand the survey findings. Interview data were analysed using thematic analysis.

Study identified benefits of MOSC, thus establishing potential of its uptake for high-rise building construction. Constraining factors were investigated, most pronounced being low level of skills in construction industry to design, manufacture and integrate supply chain of MOSC, high initial investment, high cost of importing modules and negative perception about offsite manufactured buildings. This study also highlighted the enablers to improve uptake of MOSC. These enablers included; loan and mortgage policies to suit MOSC paradigm, building regulations to support OSC industry, increased support from the government and awareness and acceptance of standardised building designs among the clients.

Originality of this paper harps from little to no research carried out to investigate use of MOSC for high-rise buildings in New Zealand context.

Automation facilitates production activities within offsite construction (OSC) projects through computer-controlled and mechanised systems that can be programmed to deliver various products in a self-regulating sequence. Despite known benefits of automation to offsite production, the level of automation adoption in New Zealand is low. This study is an effort to understand the current status of automation within the New Zealand construction industry and to identify the barriers and enablers to its uptake.

This study utilises the qualitative approach of semi-structured interviews (open-ended questions). Using a referral sampling strategy (snowballing), fifteen New Zealand industry experts were interviewed, and the data collected were analysed using qualitative content analysis.

The study found that there is a weak business case for full automation. Four main categories of barriers to the uptake of automated OSC were identified, including requirement of high capital cost, lack of education about automation and OSC and non-existence of regulations to support OSC. It was noted that financial supports to the OSC sub-sector in form of subsidies, tax waivers, and enhanced leasing model could enhance the uptake of automation. Further to this more awareness about OSC's automation and regulations suitable for OSC could enhance the confidence of business owners to invest in this area.

Originality of this paper stems from the fact that, not much attention has been paid to investigating the uptake of automation for OSC sub-sector of construction industry in New Zealand context.

There has been a burgeoning interest in exploring the impact of uncertainty factors on share returns. However, studies on the influence of global financial uncertainties on emerging market sectoral indices are scarce. Thus, there is a need to have a thorough investigation of the connection between global financial uncertainties and emerging market sectoral indices. To fill this gap, using the theoretical framework of international portfolio diversification (IPD) and utilizing data from 2008 to 2021, this study examines the spillover connection between global uncertainty indices (GUIs) and leading sectoral indices of 28 emerging markets.

The authors employ the quantile spillover-based connectedness approach and minimum connectedness portfolio approach to explore the dynamic connectedness among sectoral indices and global uncertainty indices (GUIs) as well as portfolio implication.

The study found high connectedness among all indices, especially at higher and lower quantiles. Among GUIs, the authors find that stock market volatility (VIX) and oil volatility index (OVX) are strongly interconnected with all leading emerging markets' sectoral indices. Among sectoral indices, the linkage between the financial (F-Index), information technology (IT-Index), and consumer discretionary (CD-Index) sectors shows moderate interconnectedness. In contrast, the communication services (CS-Index) sector has low interconnectedness with the system. In terms of spillover effects, the authors find EVZ, OVX, and the IT sectors to be net recipients for the entire period. The authors also explored portfolio diversification benefits by employing a minimum connectedness portfolio approach. The cumulative returns' findings show a slight decline in the portfolio's value after 2010; during 2012, the pattern remained stable; from 2014 to 2020, the portfolio performed negatively, that is, underperformance due to different events in that period, including COVID-19. The Consumer Discretionary sector is found to be significant because of having the largest weight, 51%, in the portfolio during the study period.

The study suggests that investors should invest in the communication services sector as it is the least connected. However, the connectedness increases during COVID-19, which implies that it may be difficult for investors to benefit from IPD in a crisis period. Hence, to obtain the benefits from IPD, the evidence suggests that investors need to consider Consumer Discretionary sector while considering assets for investment.

The study's uniqueness is that the authors have investigated spillover between GUIs and 28 emerging markets sectoral indices by employing a quantile spillover-based connectedness approach and minimum connectedness portfolio approach with a special focus on portfolio implication.

This study aims to investigate the effectiveness of two types of social media videos used for destination image development: induced/commercial-oriented content and organic content (where content is made without commercial interest, such as vlogs classified as user-generated content).

Experimental research using “Emotive EEG” (electroencephalogram) in a controlled environment was conducted with 30 participants (20 males, 10 females), age range 18 to 26. Emotive EEG recording was performed while the participants watched both types of video clips. Test results for both groups indicate that induced content is preferred over organic content.

This study opens up future research avenues where neuromarketing’s “Marketer Friendly” EEG equipment can be applied to the customer selection process.

Marketing analysts can gauge the interest and response of customers on different types of social media video content for destination marketing based on the findings of this study.

This study aims to investigate the crucial role of information quality in the construction industry and its impact on organizational performance. The research objectives are threefold: (1) to identify and analyse key factors influencing information quality in construction organizations; (2) to examine how information quality affects strategic decision-making processes in the industry; and (3) to assess the extent to which information quality impacts overall organizational performance.

The study commences by gathering data from databases such as Scopus, Elsevier, Taylor and Francis, and Emerald Insight. The collected data is then analysed using ATLAS.ti 9 to construct a model linking information quality with strategic decision-making and organization performance.

The literature review analysis reveals the complex interplay between information quality, strategic decision-making and organizational performance in the construction industry. Key findings include identifying critical factors influencing information quality, such as technological infrastructure, organizational processes and personnel skills. The study highlights the necessity for organizations to recognize potential challenges in information management and formulate strategies to overcome them.

This research makes a significant contribution to the field by providing a comprehensive framework for understanding the role of information quality in strategic decision-making within the construction industry. The study’s originality lies in its systematic approach to synthesizing existing literature and developing visual representations of complex relationships between information quality, decision-making processes and organizational performance.

Online health communities (OHCs) have emerged on the Internet, substantially changing the conventional healthcare delivery model. Despite this emergence, the lack of patient participation and contribution always limits the success and sustainability of OHCs. Previous studies have disclosed that patients’ value co-creation behavior (VCB) helps organizations sustain OHCs. However, how the recent surge in artificial intelligence (AI) tools, such as social support chatbots (SSCs), drives patients’ VCB is still unknown. Therefore, this study examines the complex mechanism behind patients’ VCB to establish sustainable OHCs.

Using value co-creation and social support theories, the author develops a moderated mediation model and analyzes survey data from 338 respondents using partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) methods.

Results demonstrate that perceived social support (PSS) from SSCs positively affects VCB directly and indirectly via patient learning (PL). This indirect effect is stronger when patient ability/readiness (PAR) is high. ANN findings highlight the model’s robustness and the significant role of PAR in VCB.

This study’s integrated framework offers unique insights into key drivers of patients’ VCB in OHCs. The findings indicate that PSS from SSCs enhances PL and VCB, with PAR influencing the strength of these relationships. Understanding these dynamics can inform user-centric interventions to promote effective learning and collaboration in OHCs.