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This research investigates the impact of Dufour effects and viscous dissipation on unsteady magnetohydrodynamic (MHD) natural convection in an incompressible, viscous, and electrically conductive fluid over a vertically oscillating flat plate. The study highlights the significance of magnetic fields in influencing thermal and mass transfer, particularly in the context of thermal radiation. Computational fluid dynamics method including finite difference or finite element techniques can be used to crack the governing equations of the fluid flow. In this work, we used the finite element method (FEM) numerical technique to analyze the numerical behavior of unsteady boundary layer flow of Casson fluid with natural convection past an oscillating vertical plate. Key parameters such as skin friction, temperature, concentration, velocity and Sherwood numbers are derived and analyzed. The results demonstrate that viscous dissipation significantly elevates the fluid temperature, while an increase in the radiation parameter is associated with a decrease in internal friction at the plate. These findings provide critical insights into the interplay between thermal radiation and magnetic fields in MHD flows, with potential applications in engineering systems involving heat and mass transfer, such as cooling systems and material processing. This study underscores the importance of understanding these dynamics for optimizing the performance of MHD applications in various industrial settings.

The mainly authorized and energetic FEM to explain the non-linear, dimensionless partial differential equations (11–13) via equation with boundary conditions (14) makes use of Bathe (36), Reddy (37), Connor (38) and Chung (39). Following are the key steps that make up the method: discretize the domain, derivation of element equation, assembly of element equation, imposition of boundary condition and solution of assembly equation.

This study examined the impact of viscid dissipative radiation and the Dufour effect on unsteady one-dimensional MHD natural convective flow of a viscous, incompressible, electrically conducting fluid past an infinite moving vertical flat plate with a chemical reaction. Numerically solving the governing equations using the FEM approach is efficient and precise, aiming to be applied to fluid mechanics and related problems. Along with their effects on temperature, concentration and velocity, the following parameters are included: the mass Grashof number, the Soret number, the Grashof number, the Prandtl number, chemical reaction, the Schmidt number, radiation and the Casson parameter. Both the Grashof numbers of thermal and mass rates (Gr, Gm) make an increment in the velocity region. The velocity decreases with an increase in the magnetic parameter. The velocity increases with an increase in the permeability of the porous medium parameter. The temperature flow rate is higher for both Dufour and Viscid dissipation, while a decrement is noted of both Prandtl number and radiation effects. The decrementing behavior of the concentration region is observed at supreme inputs of chemical reaction coefficient and Schmidt number.

This is an original paper and not submitted anywhere.

This research investigates the effect of accessibility to points of tourist interest (buffer) and direct and indirect spatial spillover effects of agglomeration economies on tourism industry revenues in Spain.

Data were collected from the Bureau van Dijk's (BvD) Orbis global database. The data were analysed using a spatial econometric model and the Cobb–Douglas production function.

This study reveals that hotels located inside the buffer zone of points of tourist interest achieve better economic outcomes than hotels located outside the buffer. Furthermore, the results show that there is a direct and indirect spatial spillover effect in the hotel industry.

The results provide valuable information for identifying areas where the agglomeration of hotels will produce a spillover effect on hotel revenue and the area of influence of location characteristics. This information is relevant for hotels already established in a destination or when seeking a location for a new hotel.

The results of this study can help city planners in influencing the distribution of hotels to fit desired patterns and improve an area's spatial beauty.

The paper provides insights into how investment, structural characteristics, reputation and location affect hotel revenue.

While there is some evidence of a relationship between earnings quality and information asymmetry, there is limited evidence on the moderating role of institutional investors in this relationship. To fill this gap, this study aims to examine how institutional ownership affects the relationship between earnings quality and information asymmetry, with a focus on the impact of different investment horizons.

This study uses a sample of listed European firms from 2000 to 2022. Earnings quality is measured using the McNichols (2002) modification of the Dechow and Dichev (2002) model. The analysis examines the moderating effect of institutional ownership on the relationship between earnings quality and information asymmetry.

This study finds that the relationship between earnings quality and information asymmetry is more pronounced in firms with a higher percentage of institutional ownership. This study finds that the monitoring role of long-term institutional investors is more effective than that of short-term institutional investors. This study also finds that the influence of institutional investors is more significant in firms with incentives to engage in earnings management.

The findings provide evidence suggesting that institutional investors are an important class of investors in terms of exercising an effective monitoring role to mitigate information asymmetry and demand higher earnings quality from their investee firms. These findings are informative for many financial reporting participants, including investors, analysts, regulators and managers.

This study extends the existing research examining the relationship between earnings quality and information asymmetry (e.g. Affleck-Graves et al., 2002; Ascioglu et al., 2012; Bhattacharya et al., 2013; Jayaraman, 2008; Liu and Elayan, 2015) by examining the moderating effect of institutional ownership on this relationship. It further contributes to the literature by distinguishing between long- and short-term institutional investors and their respective monitoring roles. In addition, this study broadens the geographical scope of the research by using cross-country data from European firms, providing evidence that country-specific factors do not uniformly affect the relationship between earnings quality and information asymmetry.

The authors examine whether the duration of performance shortfall in the firm impacts the real earnings management.

We find the results in the context of India, an emerging market, on a large sample set of 15,011 firm-year observations during 2006–2020.

We find that when managers continue to face short-term performance pressures, they shift their focus away from aspirational levels, prefer not to engage in strategic actions to address performance shortfalls and engage in opaque actions of real earnings management. We discover that this baseline relationship for business group-affiliated firms is stronger; however, the moderation effect is weaker under stronger corporate governance and the involvement of high-quality auditors.

The study suggests that the governing council of firms, such as the board of directors, must pay additional attention to underperforming firms, as a longer duration of performance shortfall may induce firms to engage in earnings management, which is detrimental to the long-term viability of organizations. Government authorities should pay close attention to the choices made by managers, especially when their performance is subpar. Furthermore, the government has the option to implement policies or offer financial assistance, such as special funds, to incentivize companies to refrain from participating in manipulation activities.

This is the first study to examine corporate misconduct through the lens of the “threat rigidity hypothesis,” which has significant implications for the management literature.

This paper aims to investigate the gear performance during meshing. The effects of line load, velocity and rough surfaces (kurtosis and skewness) on the lubrication characteristics and fatigue life of gears were analyzed.

In the mixed thermoelastohydrodynamic lubrication (TEHL) model, the distributions of pressure and film thickness are predicted using the Reynolds equation. The elastic–plastic rough contact model is used to calculate the contact force and area. To predict the fatigue life of the gears, the Dang–Van fatigue model is used to obtain the fatigue parameters under different line loads, velocities and rough surfaces.

The skewness of rough surfaces has a more significant effect on gear performance. In addition, according to fatigue parameters, it is found that when the load is too large, it leads to an increase in the probability of gear failure.

In this paper, a mixed TEHL model considering the effects of kurtosis and skewness is developed for the line contact to predict the mixed lubrication problem during gear meshing.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2024-0356/

Recent research highlights the growing use of anthropomorphizing voice commerce, attributing human-like traits to shopping assistants. However, scant research examines the influence of anthropomorphism on the behavioral intention of shoppers. Therefore, the study examines the mediating role of anthropomorphism and privacy concerns in the relationship between utilitarian and hedonic factors with the behavioral intention of voice-commerce shoppers.

The study employs structural equation modeling (SEM) to analyze responses from 279 voice-commerce shoppers.

Results indicate that anthropomorphizing voice commerce fosters adoption for hedonic factors but not for utilitarian factors. Paradoxically, anthropomorphism decreases shoppers’ behavioral intentions and heightens their privacy concerns.

The cross-sectional survey design serves as a notable limitation of the study. Future researchers can rely on longitudinal designs for additional insights.

Marketers should anthropomorphize voice commerce for hedonic shoppers, not for utilitarian shoppers, and consider implementing customized privacy settings tailored to individual preferences.

The study contributes to academia and management by emphasizing the need to customize anthropomorphic features according to utilitarian and hedonic factors. Furthermore, it highlights the adverse effects of anthropomorphizing voice commerce on shoppers’ behavior, offering policymakers guidance for appropriate regulations.

This study aims to empirically investigate how knowledge paradox affects collaboration performance. Knowledge paradox, which arises from the simultaneous need for knowledge sharing and protection, is common in interorganizational collaboration. Using the ambidexterity perspective, this paper aims to reexamine the effect of the knowledge paradox on collaborative performance to explore the moderating roles of structural and contextual ambidexterity.

This study used a sample of 153 firms involved in vertical and horizontal collaboration, collected via questionnaires. Hypotheses were tested using hierarchical regression analysis.

This study demonstrates that the stronger the knowledge paradox is, the higher the potential for value creation. Thus, knowledge paradox has a positive impact on collaborative performance. The functions of structural ambidexterity and contextual ambidexterity strengthen this positive relationship.

This paper not only expands the theoretical application of the knowledge paradox and ambidexterity theory in the context of interorganizational relationships but also provides significant managerial implications. By comprehending the dynamics of the knowledge paradox and the role of ambidexterity, managers can make well-informed decisions to enhance their collaborative performance.

The purpose of this study is to explore how to select a suitable supply chain collaboration paradigm (SCCP) based on the intelligent manufacturing model (IMM) of enterprises.

Given the fit between internal collaboration and external collaboration, we propose a model to select a suitable SCCP based on two-sided matching between SCCPs and IMMs. In this decision problem, we invited five university scholars and seven related consultants to evaluate SCCPs and IMMs based on the regret theory, which is used to obtain the perceived utility and matching results. The evaluation values are comfortably expressed through probabilistic linguistic term sets (PLTSs). Also, we set the lowest acceptance threshold to improve the accuracy of matching results.

The findings indicate that the characteristics of IMMs can significantly influence the selection of SCCPs, and an SCCP is not suitable for all IMMs. Interestingly, the study findings suggest that the selection of SCCP is diverse and multi-optional under the constraints of IMMs.

Existing studies have explored supply chain collaboration (SCC) in Industry 4.0 to improve supply chain performance, but less attention has been paid to the impact of the match between SCCPs and IMMs on supply chain performance. And even fewer studies have addressed how to select a suitable SCCP in different IMMs. This study provides a unique contribution to the practice of SCC and expands the understanding of supply chain management in Industry 4.0.