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This study aims at investigating the heat transfer characteristics of a nonsquare enclosure when hydrodynamic resistance is altered discontinuously along its inner surface. Particularly, it focuses on investigating how several essential factors collaboratively influence the natural convection, including the Rayleigh number (Ra), the aspect ratio (AR), the nanoparticle volume fraction (ϕ) and the locations of changing hydrodynamic resistance.

To achieve these objectives, an L-shaped enclosure of various AR is adopted, while zero local shear resistance is applied and modeled by stress-free (SF) patches of four distinct arrangements (corresponding to Cases 1–4). The nanofluid is modeled by Buongiorno’s two-phase model. The effects are explored using an in-house numerical framework based on a hybrid lattice Boltzmann-finite difference method with the total variation minimization scheme.

The results show that when Ra is sufficiently large, i.e. Ra = 10⁵, SF patches can generally enhance the heat transfer performance regardless of other factors. However, the ways of achieving those enhancements are different, which mainly depend on the arrangement of the SF patches and AR but are nearly independent of ϕ. The maximum improvement of heat transfer can be achieved in Case 3 with AR = 0.6, Ra = 10⁵ and ϕ = 0.04, where the averaged Nusselt number is enhanced by 8.89%.

This study presents a new scenario where the SF patches of various arrangements are applied to enhance the nanofluid natural convection of a nonsquared enclosure, and it reveals how the improvement is achieved and cooperatively affected by several important factors.

Edible flowers have traditionally been consumed for their nutritional and medicinal properties. Aponogeton distachyos is an aquatic flowering plant native to the Western Cape of South Africa (SA) that used to be a wild plant gathered during the winter months, but it is now considered to be underutilised and endangered. This study aims at gaining insights from different stakeholders into the activities across the plant value chain and their impact on the consumption of Aponogeton distachyos.

The study methodology involved the identification of different stakeholders in the plant value chain and conducting qualitative in-depth interviews during the data collection. Twelve study participants were selected via purposive sampling and interviewed using semi-structured interviews (face-to-face, telephone and online).

Nostalgic connection of the flower with local culture and heritage and its unique taste and flavour are key consumption drivers. Promotional and educational efforts by food advocates and at public events help raise consumer awareness, which is generally lacking. Limited geographic and seasonal availability, perishability, price and quality issues emerged, together with low awareness, as main barriers to more frequent and geographically spread consumption.

Although wild edible flowers have been consumed for centuries, there has been little attention to their nutritional value and journey to their final consumers. The present study identifies important challenges emanating at different stages of the food value chain to consumption of one particular neglected and underutilised plant, with certain implications for people's dietary quality, environmental sustainability and biodiversity of natural resources beyond Aponogeton distachyos and SA.

(1)Aponogeton distachyos is a neglected and underutilised aquatic flowering plant native to the Western Cape of South Africa (SA). (2)The plant offers benefits related to people's dietary quality, environmental sustainability and biodiversity of natural resources. (3)Flower's nostalgic connection with local culture and heritage emerge as a key consumption driver. (4)Its unique taste and flavour highly appeal to consumers. (5)Low awareness, limited availability, price and quality are main consumption barriers. (6)There is largely unexploited public policy potential for supporting dietary diversity through growing edible flowers.

The purpose of this article is to develop a new model called strategy segmentation methodology (SSM) by combining the Kraljic portfolio matrix (KPM) and the supplier relationship model (SRM) so that the buyer company can effectively conduct its relations with its suppliers.

The importance weights of the criteria defining the dimensions of each model are calculated with the single-valued neutrosophic analytical hierarchy process (SVN-AHP) method. Subsequently, the derived importance weights are employed in the single-valued neutrosophic technique for order preference by similarity to ideal solution (SVN-TOPSIS) method to obtain the scores of the suppliers and their supplied items. In order to illustrate the feasibility of the proposed methodology, a case study in the machinery industry is performed with the related comparative analysis.

The implementation of SSM enables to formulate various strategies to manage suppliers taking into account the items they procure, their capabilities and performance and the supplier–buyer relationship strength. Based on the proposed strategies, it is concluded that the firm in the case study should terminate its relationship with six of its suppliers.

Although KPM has become the basis of purchasing strategies for various businesses, it neglects the characteristics of suppliers and the buyer–supplier relationship. In this study, KPM is integrated with the SRM approach presented by Olsen and Ellram (1997) to overcome these disadvantages of KPM. The novel integration of the two approaches enables the realization of a robust and reliable supplier classification model.

Although humanoid robots are increasingly adopted in many business settings, the dynamic effects of anthropomorphism and the functional perceptions of service robots on consumers’ responses remain unclear. This paper aims to examine the impacts of robot anthropomorphism on consumers’ trust, receptivity and the downstream effect on satisfaction. Furthermore, it examines the mediating effects of perceived ease of use (PEOU) and perceived usefulness (PU) in the relationship between anthropomorphism and consumer responses.

After conducting two separate pilot studies to help design the research materials, this research involves three sequential studies. In studies 1A and 1B, the authors used two distinct humanoid robots (i.e. Connie and Pepper) to test the direct effects of anthropomorphism on trust and receptivity and the mediated effects via PEOU and PU. Study 2 conducted a 2 (robot appearance: machine-like vs. human-like) × 2 (task complexity: low vs. high) between-subjects experimental design to further explore the boundary effects of task complexity on trust and customer satisfaction.

This research theorizes and empirically examines the mediating effects of PEOU and PU in the relationship between anthropomorphism and consumers’ responses (i.e. trust and receptivity) to service robots. Results also demonstrate a moderating role of task complexity, whereby only when the task was complex did anthropomorphism affect consumer responses and customer satisfaction. The parallel mediations of PEOU and PU were also confirmed. However, when task complexity was low, the authors observed no differences between human- and machine-like robots.

First, this research used a scenario-based method by exposing participants to different pictures or videos of service robots and measuring individuals’ responses. Consumers may respond differently upon interacting with robots in actual service contexts. Second, future research could investigate the effects of other aspects of anthropomorphism, such as robots’ voice characteristics (gender, high/low pitch), verbal communication styles and emotional expression. Finally, future research could explore other service contexts to test the generalizability of the findings.

Findings of this study also provide useful insight for companies interested in adopting service robots. First, the authors unearthed several positive outcomes of using human-like versus machine-like robots in service settings. Despite concerns about the perceived creepiness and discomfort associated with human-like robots, managers should not worry about these service agents’ potential negative effects. Second, it shows that human-like robots’ competitive advantage over machine-like robots stands out when task complexity is high. Managers should therefore carefully consider relevant service characteristics and task requirements when deciding whether to adopt robots.

This study provides original and valuable contributions to the growing literature on service robots by addressing scholarly incongruencies regarding the impact of anthropomorphism and disentangling its positive influence on consumers’ perceptions and acceptance of service robots. This study also contributes to research on technology acceptance and service robot receptivity by empirically demonstrating the mediating role of PEOU and PU. Furthermore, this research enriches the body of knowledge on task-technology fit by providing evidence that task complexity is a crucial factor to consider in service robot design.

This study aims to investigate whether there are disparities in research and development (R&D) internationalization between latecomers from economy-level technological disparities and firms with ownership-specific technological capability differences in the wind turbine industry.

Employing econometric analysis based on patent indicators, the authors examine the patent data assigned by the United States Patent and Trademark Office (USPTO) to the technologically advanced economy and the technologically emerging economy.

This study finds that latecomers from technologically advanced economies behave with no difference from early leaders in terms of international co-invention (INCO) but do show differences in another indicator – native ownership of foreign inventors (NOFIs). Additionally, latecomers from economy-level technological disparity show significant differences both in both INCO and NOFI. These results indicate that the latecomers from technologically advanced economies not only possess the nature of latecomers which motivates them to seek knowledge from foreign economies but also benefit from their advanced home base, thereby prompting them to internationalize and access cost-effective R&D resources. Moreover, the results demonstrate that latecomers from technologically emerging economies are more prone to engage in R&D internationalization to augment their own home base compared with firms from advanced economy.

This study extends the literature on R&D internationalization by introducing novel perspectives. It distinguishes some apparent distinctions of the tendency of R&D internationalization between latecomers under economy-level technological disparity as well as firms from ownership-specific technological capabilities differences. Additionally, this study disaggregates R&D internationalization into twin key dimensions: INCO and NOFI. These findings allow for a comprehensive understanding of the differences in the firm's R&D internationalization under economy-level technological disparities and ownership-specific technological differences. These findings offer valuable insights for decision-makers in navigating global innovation activities by highlighting the diverse economy-level technological advantages as well as ownership-specific advantages.

The study aims to highlight and understand, and bring the human agency into the debate on the theory of normative control. While, the previous literature has highlighted the problem of the missing subject. However, the actual human agency in terms of agential properties has not been seriously addressed. This study is an attempt to overcome this problem of the missing subject.

A two-phase design inspired by retroductive inference was adopted for this study. In the first phase, abduction was used to explore the literature on normative control to highlight the forces of attraction, which may pull the employees to participate willingly within normative control systems. In the second phase, following retroductive inference, agential explanations of the forces of attraction identified in the first phase were explored by venturing into other related fields, e.g. psychology and sociology.

The study highlights four strategies used by organizations using normative control, i.e. comfort zoning, relational bonding, moral trapping and elitist appeal. These strategies rely on attractive forces. These forces of attraction pull employees to participate in the normative control system. The attractive element in the identified strategies is due to the fact that these strategies target specific agential properties, i.e. the need for comfort, sense of belonging, moral agency and pride. Overall, the findings suggest that individuals drive their concerns from culture but in relation to their capacity as needy beings for being enculturated.

Theoretically, this study adds conceptual strength to the explanations of normative control. It is suggested that neglect of human agency renders explanations conceptually weak. The study fills this gap in the research. Practically, this study would be beneficial for better design and implementation of normative control. Several studies have pointed out that normative control does not yield the intended results. Out of many reasons, a lack of understanding of human agency is a major cause of unsuccessful attempts to normatively control employees. This study provides some basis to understand the human subject for better design of soft systems of control.

To the best of the authors’ knowledge, this is the first research study that explores agential properties with reference to normative control systems. This study is important for researchers and practitioners.

The purpose of this study is to determine the impact of two-phase power law nanofluid on a curved arterial blood flow under the presence of ovelapped stenosis. Over the past couple of decades, the percentage of deaths associated with blood vessel diseases has risen sharply to nearly one third of all fatalities. For vascular disease to be stopped in its tracks, it is essential to understand the vascular geometry and blood flow within the artery. In recent scenarios, because of higher thermal properties and the ability to move across stenosis and tumor cells, nanoparticles are becoming a more common and effective approach in treating cardiovascular diseases and cancer cells.

The present mathematical study investigates the blood flow behavior in the overlapped stenosed curved artery with cylinder shape catheter. The induced magnetic field and entropy generation for blood flow in the presence of a heat source, magnetic field and nanoparticle (Fe₃O₄) have been analyzed numerically. Blood is considered in artery as two-phases: core and plasma region. Power-law fluid has been considered for core region fluid, whereas Newtonian fluid is considered in the plasma region. Strongly implicit Stone’s method has been considered to solve the system of nonlinear partial differential equations (PDE’s) with 10–6 tolerance error.

The influence of various parameters has been discussed graphically. This study concludes that arterial curvature increases the probability of atherosclerosis deposition, while using an external heating source flow temperature and entropy production. In addition, if the thermal treatment procedure is carried out inside a magnetic field, it will aid in controlling blood flow velocity.

The findings of this computational analysis hold great significance for clinical researchers and biologists, as they offer the ability to anticipate the occurrence of endothelial cell injury and plaque accumulation in curved arteries with specific wall shear stress patterns. Consequently, these insights may contribute to the potential alleviation of the severity of these illnesses. Furthermore, the application of nanoparticles and external heat sources in the discipline of blood circulation has potential in the medically healing of illness conditions such as stenosis, cancer cells and muscular discomfort through the usage of beneficial effects.

Why is it that highly trained and seasoned executives fail? On the surface, this doesn’t make sense because they are very successful; yet research in the organization sciences provides no shortage of evidence to prove just that. From the classic Mann Gulch fire disaster of Weick’s famous collapse of sensemaking study, to studies of myopia of learning, escalation of commitment, threat-rigidity, dominant logic, the architecture of simplicity, the Icarus Paradox, to core competencies turning into core rigidities, and navigating new competitive markets using “old” cognitive maps, and many more such examples point to a ubiquitous phenomenon where highly trained and experienced professionals find themselves “stuck” in the heat of battle, unable to move and progress. On the one hand, for some, there is a desperate need for change, but are unable to do so, due to their trained incapacities. On the other hand, some simply cannot see the need for change, and continue with their “business as usual” mentality. For both, their visions of the world shrink, they have a tendency to cling onto their past habitual practices and oversimplify the complexity of the situation. In moments like these: DROP YOUR TOOLS and UNLEARN! This book chapter introduces a framework (grounded in clinical psychology) that has had consistent success in helping seasoned executives and key decision-makers open up the alternatives whenever they find themselves stuck with complexity.

This paper aims to present a novel approach for computing particle temperatures in simulations coupling computational fluid dynamics (CFD) and discrete element method (DEM) to predict flow and heat transfer in fluidized beds of thermally thick spherical particles.

An improved lumped formulation based on Hermite-type approximations for integrals to relate surface temperature to average temperature and surface heat flux is used to overcome the limitations of classical lumped models. The model is validated through comparisons with analytical solutions for a convectively cooled sphere and experimental data for a fixed particle bed. The coupled CFD-DEM model is then applied to simulate a Geldart D bubbling fluidized bed, comparing the results to those obtained using the classical lumped model.

The validation cases demonstrate that ignoring internal thermal resistance can significantly impact the temperature in cases where the Biot number is greater than 0.1. The results for the fixed bed case clearly demonstrate that the proposed method yields significantly improved outcomes compared to the classical model. The fluidized bed results show that surface temperature can deviate considerably from the average temperature, underscoring the importance of accurately accounting for surface temperature in convective heat transfer predictions and surface processes.

The proposed approach offers a physically more consistent simulation without imposing a significant increase in computational cost. The improved lumped formulation can be easily and inexpensively integrated into a typical DEM solver workflow to predict heat transfer for spherical particles, with important implications for various industrial applications.