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Properly planned road illumination systems are collectively a public wealth and the commissioning of such systems may require extensive planning, simulation and testing. The purpose of this simulative work is to offer a simple approach to facilitate luminance-based road lighting calculations that can be easier to comprehend and apply to practical designing problems when compared to complex multi-objective algorithms and other convoluted simulative techniques.

Road illumination systems were photometrically simulated with a created model in a validated software platform for specified system design configurations involving high-pressure sodium (HPS) and light-emitting diode (LED) luminaires. Multiple regression analyses were conducted with the simulatively obtained data set to propound a linear model of estimating average luminance, overall uniformity of luminance and energy efficiency of lighting installations, and the simulatively obtained data set was used to explore luminaire power–road surface average luminance characteristics for common geometric design configurations involving HPS and LED luminaires, and four categories of road surfaces.

The six linear equations of the propounded linear model were found to be well-fitted with their corresponding observation sets. Moreover, it was found that the luminaire power–road surface average luminance characteristics were well-fitted with linear trendlines and the increment in road surface average luminance level per watt increment of luminaire power was marginally higher for LEDs.

This neoteric approach of estimating road surface luminance parameters and energy efficiency of lighting installations, and the compendia of luminaire power–road surface average luminance characteristics offer new insights that can prove to be very useful for practical purposes.

This study explores how police culture is experienced by women officers serving in positions where they are significantly underrepresented (i.e. leadership and elite specialty units) and the environmental factors that shape these experiences.

A qualitative analysis of transcripts from interviews with 71 women serving in male-dominated roles was conducted (N = 39 ranking women; N = 32 women on elite units).

Participants described five occupational, organizational and assignment-level factors that shaped their workplace experiences. While some contextual forces at play are similar for women working patrol (e.g. traditional police culture, the underrepresentation of women in law enforcement) unique position-level factors were also identified (e.g. the high-risk and consequential nature of the work).

While the cultural environment for women patrol officers has improved in the past few decades, the same cannot be said for women working in positions that are still dominated by men. More attention to this area of policing is needed to ensure gender diversity is achieved throughout organizations and not only in positions deemed suitable for women.

The study extends research on women in policing beyond the focus on patrol. Further, it explores the assignment- and rank-based perspectives of police culture, which are largely absent from the literature.

Given the pressing global challenges underpinning the United Nations’ Sustainable Development Goals, marketing managers can no longer focus only on purely economic outcomes but must simultaneously respond to social and environmental concerns. This requires the teaching of new competencies in marketing education, as also reflected in today’s accreditation requirements for business schools. Therefore, this paper aims to explore how current research into marketing education incorporates sustainable development.

Through a bibliometric literature review – examining 71 publications using the bibliographic coupling method – the current research front in marketing education is analysed.

This paper identifies seven trending topics in marketing education research that both highlight a currently prevalent sustainability gap in marketing education research and – when combined into a framework – help marketing education researchers and educators to address this gap.

This paper extends the already established concept of education for sustainable development to include the concept of marketing education for sustainable development (MESD) for the first time. The MESD framework combines its raison d’être with guidance on how sustainable development should be taught and what the learning objectives should be for future marketing managers.

Dados los apremiantes retos mundiales que sustentan los Objetivos de Desarrollo Sostenible (ODS) de las Naciones Unidas, los directores de marketing ya no pueden centrarse únicamente en los resultados puramente económicos, sino que deben responder simultáneamente a las preocupaciones sociales y medioambientales. Esto requiere la enseñanza de nuevas competencias en la educación de marketing, como también se refleja en los requisitos de acreditación actuales para las escuelas de negocios. Por lo tanto, este documento explorará cómo la investigación actual sobre la educación en marketing incorpora el desarrollo sostenible.

A través de una revisión bibliométrica de la literatura -examinando 71 publicaciones mediante el método de acoplamiento bibliográfico- se analiza el frente actual de la investigación en educación en marketing.

En este artículo se identifican siete temas de tendencia en la investigación sobre educación en marketing que ponen de manifiesto una laguna en materia de sostenibilidad que prevalece actualmente en la investigación sobre educación en marketing y que, combinados en un marco, ayudan a los investigadores y educadores en educación en marketing a abordar esta laguna.

Este artículo amplía el concepto ya establecido de Educación para el Desarrollo Sostenible (EDS) para incluir por primera vez el concepto de Educación en Marketing para el Desarrollo Sostenible (EMDS). El marco EMDS combina su razón de ser con orientaciones sobre cómo debe enseñarse el desarrollo sostenible y cuáles deben ser los objetivos de aprendizaje para los futuros directores de marketing.

鉴于联合国可持续发展目标（SDG）所依据的紧迫的全球挑战, 营销经理不能再只关注纯粹的经济成果, 而必须同时应对社会和环境问题。这就要求在营销教育中教授新的能力, 这也反映在当今商学院的认证要求中。因此, 本文将探讨目前对市场营销教育的研究是如何纳入可持续发展的。

通过文献计量学文献综述–使用文献耦合法对71份出版物进行研究–分析了当前市场营销教育的研究前沿。

本文确定了营销教育研究中的七个趋势性课题, 这些课题既突出了当前营销教育研究中普遍存在的可持续发展差距, 又–当结合成一个框架–帮助营销教育研究者和教育者解决这一差距。

本文扩展了已经建立的可持续发展教育（ESD）的概念, 首次将可持续发展的营销教育（MESD）的概念纳入其中。MESD框架将其存在的理由与指导如何教授可持续发展以及未来营销经理的学习目标相结合。

This study aims to investigate the interaction effect between offering supply chain finance (SCF) programmes and sustainability ratings on the liquidity performance of buyers and suppliers.

The study uses a unique sample of buyers that each have an SCF programme. The sample is complemented with financial information and sustainability scores. The data is analysed through a random effects model.

Aligning with recent advances in SCF literature, the results confirm a tendency for SCF programmes to favour buyers over suppliers. However, the relationship between SCF programme adoption and liquidity performance for buyers and suppliers is positively moderated by the strong sustainability performance of both parties.

Buyers and suppliers are advised to implement and adopt effective SCF programmes that are beneficial for both parties. For buyers, the authors suggest leveraging on SCF programmes as incentives to foster sustainable behaviour among suppliers. For suppliers, the authors recommend caution before joining programmes offered by buyers that do not perform well on sustainability.

Enhancing sustainability within global supply chains and fostering favourable payment practices towards suppliers are crucial for policy development and regulation. The findings clarify the connection between both components, offering valuable insights for policymakers in this domain.

The study is built on a manually picked, unique database of buyers offering SCF programmes to their suppliers. This allows, across a large sample, an evaluation of the differences between buyers that offer SCF programmes and those that do not.

The main objective of this study is to investigate the factors that influence the adoption intention of cloud computing services among individual users using the extended theory of planned behavior.

A purposive sampling technique was used to collect a total of 339 data points, which were analyzed using SmartPLS to derive variance-based structural equation modeling and fuzzy-set qualitative comparative analysis (fsQCA).

The results obtained from PLS-SEM indicate that attitude towards cloud computing, subjective norms, perceived behavioral control, perceived security, cost-effectiveness, and performance expectancy all have a positive and significant impact on the adoption intention of cloud computing services among individual users. On the other hand, the findings from fsQCA provide a clear interpretation and deeper insights into the adoption intention of individual users of cloud computing services by revealing the complex relationships between multiple combinations of antecedents. This helps to understand the reasons for individual users' adoption intention in emerging countries.

This study offers valuable insights to cloud service providers and cyber entrepreneurs on how to promote cloud computing services to individual users in developing countries. It helps these organizations understand their priorities for encouraging cloud computing adoption among individual users from emerging countries. Additionally, policymakers can also understand their role in creating a comfortable and flexible cloud computing access environment for individual users.

This study has contributed to the increasingly growing empirical literature on cloud computing adoption and demonstrates the effectiveness of the proposed theoretical framework in identifying the potential reasons for the slow growth of cloud computing services adoption in the developing world.

There is a growing awareness in today's organizations of the gap between existing digital technologies and those arising from digital innovation that contribute to reducing work exhaustion. However, no comprehensive framework has been proposed for the importance of adopting digital innovation in reducing work exhaustion. The purpose of this paper is to provide a holistic view by proposing a model for the importance of adopting digital innovation technologies and their role in reducing work exhaustion in Iraq as a developing country, and the model was proposed based on the theory of technology-organization-environment and diffusion of innovation.

To collect data, an electronic questionnaire was designed for a survey conducted on 183 Iraqi firms in the industrial sector. For data analysis, the structured equation model was used through the (AMOS. 26) program.

The results revealed the importance and significance of the study model in adopting the cloud of things (CoT) as one of the techniques of digital innovation in reducing work exhaustion.

The authors can conclude that the adoption of the CoT in small and medium enterprises (SMEs) can have a positive impact on the performance of the employees. The adoption of the CoT may provide SME managers with an opportunity to effectively manage various roles and responsibilities. While there were many limitations that this study faced, the authors focused on one type of digital innovation dynamics, which is the CoT, as they must focus on other technologies.

To the best of the authors’ knowledge, this study is one of the first studies in Iraq as a developing country that explains how emerging digital innovation can be leveraged to create innovative digital products and services as a CoT technology and subsequently lead to the reduction of work exhaustion. It also fills the literature gaps related to adoption factors of digital innovation and their role in reducing work exhaustion.

Several studies have examined the impact of market fundamentals on house prices. However, the effect of economic sectors on housing prices is limited despite the existence of two-speed economies in some countries, such as South Africa. Therefore, this study aims to examine the impact of mining activities on house prices. This intends to understand the direction of house price spreads and their duration so policymakers can provide remediation to the housing market disturbance swiftly.

This study investigated the effect of mining activities on house prices in South Africa, using quarterly data from 2000Q1 to 2019Q1 and deploying an auto-regressive distributed lag model.

In the short run, we found that changes in mining activities, as measured by the contribution of this sector to gross domestic product, impact the housing price of mining towns directly after the first quarter and after the second quarter in the non-mining cities. Second, we found that inflationary pressure is instantaneous and impacts house prices in mining towns only in the short run but not in the long run, while increasing housing supply will help cushion house prices in both submarkets. This study extended the analysis by examining a possible spillover in house prices between mining and non-mining towns. This study found evidence of spillover in housing prices from mining towns to non-mining towns without any reciprocity. In the long run, a mortgage lending rate and housing supply are significant, while all the explanatory variables in the non-mining towns are insignificant.

These results reveal that enhanced mining activities will increase housing prices in mining towns after the first quarter, which is expected to spill over to non-mining towns in the next quarter. These findings will inform housing policymakers about stabilising the housing market in mining and non-mining towns. To the best of the authors’ knowledge, this study is the first to measure the contribution of mining to house price spillover.

This article explores how firms' unresponsiveness to Black customer feedback influences Black (vs. White) customers' perceived firm-based discrimination and brand engagement.

Two experimental studies (Study 1(N1) = 254) and Study 1(N2) = 484) are conducted to test the modeled relationships. The data are analyzed using ANOVA, PROCESS Model 4 and PROCESS Model 7.

The findings suggest that though perceived discrimination remains modest in all conditions, Black (vs. White) respondents report higher perceived discrimination when the firm fails to respond to a Black customer's negative or neutral (but not positive) brand-related feedback on social media. The results also indicate that Black (vs. White) customers exhibit lower engagement through perceived discrimination in the case of the firm's unresponsiveness to a Black customer's negative and neutral (but not positive) brand-related feedback regardless of the manager's race.

Prior research on intercultural service encounters and ethnic differences in consumer engagement on social media are combined to examine the relationship between customer race and perceived discrimination based on the firm's unresponsiveness to customers' social media posts.

Manipulations were created based on a fictitious e-tailer. Thus, it is recommend that future researchers examine the extent to which the findings hold for existing (r)etailers. In addition, future studies using secondary data could provide additional evidence for the findings.

Managerial attention is accentuated among customer feedback responsiveness, engagement and perceived firm discrimination. Managers are encouraged to adopt communication strategies that complement the firm's strategy and social media presence.

This study aims to examine living preference and tenure among millennials, with a particular focus on the impact of ethnic and cultural diversity on housing outcomes including observed homeownership inequalities.

Using the individual panel data from three waves in American Housing Survey, 2015–2019, this study compares the likelihood of co-residing among Asian and Hispanic millennials with non-Hispanic white millennial peers. Furthermore, this study estimates the effect of co-residence on homeownership across generational and ethnic backgrounds.

This study finds a preference for coresident adult familial households among foreign-born Asian and Hispanic millennials, and US-born Hispanic millennials when compared to their non-Hispanic white millennial peers. The results are robust after considering neighborhood selection bias, affordability and education. The effect of co-residence on ownership is significant and positive, suggesting this living arrangement contributes to homeownership across all generational and ethnic groups.

Housebuilders should be aware of Asian and Hispanic millennials’ increased appetite for extended family living arrangements and consider increasing the physical size of affordable or workforce-oriented rental housing and new single family construction to accommodate more adult co-living arrangements.

This study provides a more comprehensive understanding of the role ethnic and cultural diversity has on millennial adult living preferences and its generational differences, which is not just “boomeranging” as identified by previous literature, contributing to the growing interest in the housing research on the effect of ethnic diversity and culture on millennials’ homeownership rates.

Postneonatal mortality (PNM), which differs from infant and perinatal mortality, has been observed in the past 25 years with respect to the health outcomes of children. While infant and perinatal mortality have been well-evaluated regarding racial differentials, there are no substantial data on PNM in this perspective. The purpose of this study was to assess whether or not social determinants of health adversely affect racial/ethnic PNM differentials in the USA.

A cross-sectional, nonexperimental epidemiologic study design was used to assess race as an exposure function of PNM using Cohort Linked Birth/Infant Death Data (2013). The outcome variable assessed PNM, while the main independent variables were race, social demographic variables (i.e. sex and age) and social determinants of health (i.e. marital status and maternal education). The chi-square statistic was used to assess the independence of variables by race, while the logistic regression model was used to assess the odds of PNM by race and other confounding variables.

During 2013, there were 4,451 children with PNM experience. The cumulative incidence of PNM was 23.6% (n = 2,795) among white infants, 24.3% (n = 1,298) among Black/African-Americans (AA) and 39.5% (n = 88) were American-Indian infants (AI), while 21.3% (n = 270) were multiracial, χ² (3) = 35.7, p < 0.001. Racial differentials in PNM were observed. Relative to White infants, PNM was two times as likely among AI, odds ratio (OR) 2.11 (95% confidence interval [CI] 1.61, 2.78). After controlling for the confounding variables, the burden of PNM persisted among AI, although slightly marginalized, adjusted odds ratio (aOR) 1.70, (99% CI 1.10, 2.65).

In a representative sample of US children, there were racial disparities in PNM infants who are AI compared to their white counterparts, illustrating excess mortality. These findings suggest the need to allocate social and health resources in transforming health equity in this direction.