Search results

When facing capacity bottlenecks, manufacturers of configurable, multi-variant products may adjust the product mix to uphold the scheduled output. However, maintaining market attractiveness by choosing the right product configurations as substitutes is a non-trivial task as it involves anticipating the substitution behaviour of customers. Substitution behaviour models currently used in quantitative production planning models for configurable products are either based on domain knowledge of experts, which makes them bias-prone, or they require extensive market research. The purpose of this study is to present a data-driven approach.

Based on data science concepts, distance measures are applied to derive distances between different product configurations from historical order data. Different design options for such a distance measure are discussed regarding configurable products and tested with automotive industry data. Furthermore, the study shows ways to validate the distance results.

The experiments show that the presented distance measure represents the expected customer substitution behaviour quite well. A context-sensitive distance measure including rank information of ordinal product features is most suitable for the automotive data sets.

This study presents a new approach to model the substitution behaviour of customers. The attractiveness of a potential substitute is represented by a distance from the customer’s first-choice configuration. The presented distance measure provides an inexpensive tool using existing data instead of expensive market research. Thus, it supports the integration of substitution into quantitative production planning models that deal with a large variety of configurable products.

To investigate whether individuals more closely associate characteristics of effective leaders with men compared to women and whether those associations advantage men in interactions.

An online survey and a laboratory experiment. The online survey had participants evaluate characteristics they most closely associated with effective leaders, men in general, or women in general. The laboratory experiment assigned participants fictitious partners before they completed an ambiguous task. Partners were men or women, and instructions did or did not describe contrast sensitivity ability as related to leadership ability.

In Study 1, participants evaluated characteristics of men in general more closely to the characteristics of effective leaders than they did the characteristics of women in general. Findings showed this effect to be driven by responses from male participants. In Study 2, the influence gap between male and female partners widened significantly in a direction that advantaged men when study instructions described contrast sensitivity as being positively correlated with leadership ability.

Individuals associate characteristics of effective leadership in ways that advantage men and that those associations advantage men in interactions.

Results indicate that even if differences in competency expectations between women and men were to disappear, women might remain disadvantaged in interactions with implications for leadership.

The paper conclusively demonstrates that participants in the samples associated men more than women with leadership ability/effectiveness and that the associations advantaged men in interactions. These results have broad implications for research in status, gender, and leadership.

This paper aims to examine whether the audit committee moderates the relationship between audit quality and market reactions.

Using fixed effects and the GMM model for robustness, the study used 472 publicly listed firms on South Africa’s Johannesburg stock exchange spanning a period of six years from 2014 to 2019.

Results obtained show that audit quality impacts market reactions through share price and adjusted market returns. And, that the audit committee moderates the relationship between audit quality and market reactions in South Africa’s publicly listed firms. An effective audit committee is expected to play a crucial role in overseeing the audit process, ensuring the independence of auditors and promoting transparency and accountability which in turn impacts asset prices.

The study implies that governments and regulatory bodies in other developing economies could strengthen regulations about companies’ Acts, how firms regulate themselves and more so audit committees. Firms can also strive to make sure that audit committees are staffed with experts to promote higher audit quality and investor attention to get access to the much-alluded capital.

To the best of the authors’ knowledge, the study adds value by being the first to explore the subject matter of the importance of audit committees in defining audit quality and market reactions in publicly listed firms. The research adds to the body of knowledge on corporate governance and audit quality. It provides a case study specific to the South African context, contributing to the global literature on these topics.

Recent scholarship calls for identifying conditions in which procedurally just treatment translate to increased police legitimacy. The present study draws on community justice and vitality and procedural justice literature to examine whether adolescent and young adults’ perceptions of legitimate work and school opportunities in their neighborhoods moderate the effects of fair treatment by police on perceptions of police legitimacy.

Longitudinal data from a justice-involved youth sample and a series of generalized linear mixed models are used to test the study’s hypotheses. We model “persons as contexts” and separate within-person and between-person effects.

Main effects models indicate that procedural justice and neighborhood opportunities both have significant within-individual, between-individual and person-contextual effects on police legitimacy. Results from interaction models indicate strong support for a person-contextual interaction effect. Net of covariates, higher average perceptions of procedurally just treatment leads to greater average police legitimacy, but this effect erodes when individuals perceive weak educational and occupational opportunities in their neighborhoods over time.

Efforts to maximize police legitimacy may be enhanced through greater investment in community opportunity structures. This study highlights the need for public officials and police to support the educational and occupational vitality of communities as a key strategy to promote police legitimacy and optimize core aspects of the procedural justice model.

Since its introduction by Anthony Giddens in the early 1980s, the use of the concept of “agency” as a way to accommodate an irreducible element of voluntarism into sociological explanations has grown exponentially in the literature. In this chapter, we examine the most prominent theoretical justifications for adopting the notion of “agency” as an integral part of such explanations. We distinguish three broad sets of justifications: the meaningfulness/intentionality of social action, the need for “agency” to explain change in social structures, and the link between agency, social accountability, and human dignity. We find that none of these provides a convincing rationale for the analytical utility of agency. This raises the question of what work it actually does perform in the sociological literature.

Ohmic heating generates temperature with the help of electrical current and resists the flow of electricity. Also, it generates heat rapidly and uniformly in the liquid matrix. Electrically conducting biofluid flows with Ohmic heating have many biomedical and industrial applications. The purpose of this study is to provide the significance of the effects of Ohmic heating and viscous dissipation on electrically conducting Casson nanofluid flow driven by peristaltic pumping through a vertical porous channel.

In this analysis, the non-Newtonian properties of fluid will be characterized by the Casson fluid model. The long wavelength approach reduces the complexity of the governing system of coupled partial differential equations with non-linear components. Using a regular perturbation approach, the solutions for the flow quantities are established. The fascinating and essential characteristics of flow parameters such as the thermal Grashof number, nanoparticle Grashof number, magnetic parameter, Brinkmann number, permeability parameter, Reynolds number, Casson fluid parameter, thermophoresis parameter and Brownian movement parameter on the convective peristaltic pumping are presented and thoroughly addressed. Furthermore, the phenomenon of trapping is illustrated visually.

The findings indicate that intensifying the permeability and Casson fluid parameters boosts the temperature distribution. It is observed that the velocity profile is elevated by enhancing the thermal Grashof number and perturbation parameter, whereas it reduces as a function of the magnetic parameter and Reynolds number. Moreover, trapped bolus size upsurges for greater values of nanoparticle Grashof number and magnetic parameter.

There are some interesting studies in the literature to explain the nature of the peristaltic flow of non-Newtonian nanofluids under various assumptions. It is observed that there is no study in the literature as investigated in this paper.

Tourist policies and businesses today are not far beyond the effect of climate change. Worldwide, tourist demand, and popular locations have been hit hard by an increase in the frequency and severity of extreme weather events such as floods, heat waves, droughts, storms, and wildfires. Significant tourist attractions are also impacted by climate change. Sea level rise and ocean warming endanger resources like beaches and coral reefs, while snowfall has become less predictable in many winter locations. The expense of travel is also expected to rise due to climate change. The tourism is contributing to the carbon emissions and increasing hazards to the environment. What these trends have in common is their potential to alter the face of tourism throughout the world. Research on the topic of climate change and tourism has been around for a while, but this paper lays out the field’s evolution, outlines recent trends, and discusses the impact of climate change on tourism.

This research focuses on the controlling irreversibilities in a radiative, chemically reactive electromagnetohydrodynamics (EMHD) flow of a nanofluid toward a stagnation point. Key considerations include the presence of Ohmic dissipation, linear thermal radiation, second-order chemical reaction with the multiple slips. With these factors, this study aims to provide insights for practical applications where thermal management and energy efficiency are paramount.

Lie group transformation is used to revert the leading partial differential equations into nonlinear ODE form. Hence, the solutions are attained analytically through differential transformation method-Padé and numerically using the Runge–Kutta–Fehlberg method with shooting procedure, to ensure the precise and reliable determination of the solution. This dual approach highlights the robustness and versatility of the methods.

The system’s entropy generation is enhanced by incrementing the magnetic field parameter (M), while the electric field (E) and velocity slip parameters (ξ) control its growth. Mass transportation irreversibility and the Bejan number (Be) are significantly increased by the chemical reaction rate (C_r). In addition, there is a boost in the rate of heat transportation by 3.66% while 0.05⩽ξ⩽0.2; meanwhile for 0.2⩽ξ⩽1.1, the rate of mass transportation gets enhanced by 12.87%.

This paper presents a novel approach to analyzing the entropy optimization in a radiative, chemically reactive EMHD nanofluid flow near a stagnation point. Moreover, this research represents a significant advancement in the application of analytical techniques, complemented by numerical approaches to study boundary layer equations.

This paper examines the relationship between open innovation (measured by exploratory and exploitative linkages) and firm-level innovative activity in the offshore renewable energy (ORE) sector.

A unique, purpose-built survey that targeted firms operating in the ORE sector and its supply chain was used. The data provides novel insights into the research activities and networking capabilities of an industry in its infant stages of development. Regression models are used to estimate the relationship between firm-level external linkages and innovative activity.

Exploratory linkages are positively related to more innovative activity. This relationship is subject to diminishing returns, distinguishing the ORE sector from other sectors. Collaborating with suppliers and accessing scientific journals are conducive to research and development (R&D) activity and process innovation, whilst collaborating with customers is associated with the decision to introduce new products and processes.

This study provides evidence of a positive, but curvilinear, relationship between external knowledge linkages and innovative activity, adding novel insights into the relationship between open innovation (OI) strategies, research and innovation outcomes for firms predominantly in the introductory stages of the technological life cycle with limited commercialisation experience. The nuanced finding that specific linkages matter for certain research and innovation (R&I) outcomes adds deeper complexity to March’s (1991) framework, where tailoring certain exploratory or exploitative linkages to specific innovation activities is important.