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Workspace equality and inclusivity remain critical in promoting diversity and dynamism across all sectors of the economy. Despite recent progress, gender disparities persist in the real estate sector, including education and training programmes. This study employs a quantitative research design to assess gender diversity of real estate education at Federal Polytechnic Ede in Nigeria. The study focuses on female students' enrolment in real estate programmes, their experiences, perceptions and any potential effect on real estate career prospects.

A self-administered questionnaire was used to collect data from 138 out of all the 150 female students currently enrolled in the real estate programmes. Descriptive statistics and a one-sample t-test were utilised for the data analysis.

The findings indicate an increased number of females enrolled in real estate programmes. Female students face a lack of access to mentorship opportunities and perceive gender discrimination and bias in the real estate industry. However, these industry factors would not deter female students' decision to pursue a career in the real estate industry after graduation.

This study to the best knowledge of the researchers is the first to investigate gender dimensions of real estate programmes in the context of African higher education institutions; thereby contributing to the body of knowledge on gender diversity in this field.

The purpose of this paper is to investigate the role of distinct types of heating technology and their price impact in German residential real estate markets, considering a wide range of other housing market determinants. The authors aim to test and to verify specifically, whether the obsolescence of heating technology leads to a significant price discount and whether higher technological standards (and environmental friendliness) come with a price premium on the market.

The authors create housing market models for rental and sales segments by constructing generalized additive models with explicit multi-layered spatial components. To elaborate a profound and contemporary answer using these models, the authors perform large-sample regression analyses based on more than 400,000 observations covering German residential properties in 2015.

First and foremost, the heating system indeed shows significant explanatory importance for measuring housing rents and purchasing price. Second, the authors find that it makes a difference whether clean “green” technologies are implemented or whether “brown” systems with obsolete technology or fossil energy sources is on hand. Ultimately, the authors conclude that while low energy consumption indeed comes with a price premium, this needs to be interpreted together with the property’s heating type, as housing markets seem to outweigh the “green premium” by “brown discounts” if low energy consumption figures are powered by a certain type of heating technology system.

Aside of a possible omitted variable bias, the main research limitation is constituted by the integration of asking prices in the analysis, as actual transaction prices are not systematically transparent on national level in Germany. Limitations are discussed at the end of the paper.

This work supports investors who face the challenge of making environmental- and energy-related decisions as well as appraisers who deliver financial fundamentals for such. Third, the paper supports both asset managers as well as investment strategists in argumentation pro-environmental investments beyond all ecological necessity.

This paper contributes to the current discussion on climate change and the eclectic role of real estate in this context. The authors deliver evidence on pricing effects as a measure of socioeconomic acceptance of progressive heating technology and environmental friendliness as an imperative of twenty-first century societies.

This is the first study on “green premiums” or “brown discounts” that includes heating technology as a potential and distinct driver of value and rents. It is a contemporary contribution and delivers original information on the quantitative impact of contemporary and anachronistic technology in heating to researchers as well as investors and appraisers.

The purpose of this paper is to quantify the impact of 100-year flood risk on both property rents and values in Germany, exemplified by the market of the historic city of Regensburg, and therefore supports investors in understanding market behavior patterns in both rental and investment context.

The authors construct two generalized additive models for rents and purchasing prices with spatial components and under inclusion of both typical property characteristics (as control variables) and a 100-year flood risk parameter in order to estimate its effect on the rents and property price structure. The authors apply the methodology to a four-year data set of more than 16,500 observations.

The analysis shows that flood risk is a highly significant parameter when estimating both the rent as well as the sales price model. The authors also find that purchase prices for one square meter of living area are, on average, EUR299 lower if the property is located in the flood risk zone. In addition, also rental markets come with a respective, but rather low, discount.

The authors provide transparency to investors in terms of the impact that a flood risk location has on property rents as well as purchasing prices. The study supports investors by providing evidence on reaction patterns in German real estate markets and helps quantifying the financial impact that comes with flood risk in Germany.

This is the first study that aims to empirically test and to quantify the impact of flood risk on property rents and purchasing prices in Germany. Related research has been performed for the USA, Ireland and New Zealand and largely refers to event-driven work or rather conceptual in the context of property valuation.

Based on a hedonic regression approach, the purpose of this paper is to relativize existing green pay off evidence by incorporating Super Trophy as a so far underrepresented determinant. The authors analyze a private panel database of 160 European office properties and confirm a significant green pay off; the positive impact of excellent environmental certification results on market values and net rents is significantly reduced when considering Super Trophy characteristics.

Based on a panel database of 160 European office properties, the survey applies a hedonic regression approach including an extensive set of control factors as, for example, location criteria, general property characteristics, climate adjustments, consumption data, refurbishment activities, green leases, sustainable certification and energy performance certificate figures.

Even though our database still confirms a significant green pay off, the positive impact of excellent environmental certification results on market values and net rents is significantly reduced when controlling for Super Trophy characteristics.

Especially, the question how sustainability can be integrated into real estate appraisal is of major interest. The paper at hand may help in two aspects: on the one hand, it provides further insight with regard to the quantitative impact of Super Trophy Buildings on rents and market values. On the other hand, a higher transparency in appraisals may result in structural specifications that help to consolidate appraisals and empirical evidence on a “green pay off.”

The study investigates a niche segment – landmark properties. The empirical analysis explicitly controls for potential Super Trophy status. It draws attention to the importance of a reasonable and complete set of control variables to increase statistical validity of future studies in that field.

The purpose of this paper is to estimate the impact of changes in macro-economic conditions going forward, focusing on a change in interest policy, with regard to office letting and investment markets.

For this analysis, the authors constructed two vector-autoregressive models, measuring the response of office rents and capital values in Germany to economic impulses. The authors isolated effects of unique exogenous positive shocks (such as economic growth or interest leaps) on the basis of impulse-response functions in order to understand the complex dynamic interdependence between several economic factors and office performance changes.

The authors initially find a moderately positive development of both office performance components even although supposing an increase in interest level. In terms of capital values, the authors find that they do not drop before 1.5 years after the interest impulse and the negative effect peaks after approximately nine quarters. Furthermore, the reaction to a change in GDP is significantly lower than a reaction to the interest rate, but impulses in other macro-economic factors provoke stronger reactions. Finally, the authors find that a positive interest shock leads to a comparably robust development and economic sustainability in office rents throughout a consideration horizon of 24 quarters.

Estimations are based on observations from a time period containing two rather extraordinary market phases. As they included bubble growth and the low-interest environment, the authors find that certain patterns in both phases neutralize each other when looking at the total time frame. The authors constructed sub-samples to compensate for this. However, the research does not provide to what extent the measured impulse-responses stay forecast-proof, if the market moves into a phase of short-term normalization.

This paper provides insights into estimated impulse-response patterns on a hypothetical sudden increase of several macro-economic determinants. On this basis, the probable reaction to an increase in, for example, the interest rate level can be approximated. Also, the paper provides a fundamental understanding of the economic sustainability of German office properties in terms of their value and rent performance in the case of exogenous shocks.

This paper contains the first vector-autoregressive, impulse-response analysis of office markets in Germany in the context of several macro-economic drivers, including the interest level. It delivers insights into market reaction patterns on the basis of simulated one standard deviation shocks in all included variables.

Wide differences in response rates to the Carbon Disclosure Project’s (CDP’s) climate change program between countries have been explained by legal origins and the varying extent of environmental regulation. This paper seeks to enhance the explanation by examining the relevance of two dimensions of “democratic capital” – both the influence of countries’ experiences with democratic government recruitment are considered, as well as experiences with civil liberties. In addition, it is examined whether these forms of democratic capital are mediated by environmental regulation.

The authors draw upon the literature on the relationship between political regime form and environmental policy and the environmental disclosure literature debate. Hypotheses are based on institutional and stakeholder theory. Methodologically, multilevel regression analysis is used.

Results show that the history of democratic government recruitment is a relevant factor to explain firms’ disclosure decisions. The amount of freedom in civil society seems to also matter, but results are less clear in this regard. The hypothesis concerning the mediation effects of environmental regulation could not be corroborated. Findings, thus, corroborate the claim that standards of informational transparency flourish best in countries with a pluralistic political culture.

The results imply that voluntary carbon transparency may thrive as democratization advances, but its success may also be endangered by the recent revitalization of authoritarianism.

The authors deliver the first paper which tests the hypotheses on the influence of the “democratic capital” on the countries-of-origin on the firms’ carbon disclosure decisions, based on a multilevel analysis.

Academics and practitioners have long acknowledged the potential of multiagent systems (MAS) to automate and autonomize decision-making in logistics and supply chain networks. Despite the manifold promises of MAS, industry adoption is lagging behind, and the exact benefits of these systems remain unclear. This study aims to fill this knowledge gap by analyzing 11 specific MAS use cases, highlighting their benefits, clarifying how they can help enhance logistics network resilience and identifying existing barriers.

A three-stage Delphi study was conducted with 18 industry experts. In the first round, these experts identified 11 use cases of MAS and their potential benefits, as well as any barriers that could hinder their adoption. In the second round, they assessed the identified use cases with regard to their potential to enhance logistics network resilience and improve organizational productivity. Furthermore, they estimated the complexity of MAS implementation. In the third round, the experts reassessed their evaluations in light of the evaluations of the other study participants.

This study proposes 11 specific MAS use cases and illustrates their potential for increasing logistics network resilience and enhancing organizational performance due to autonomous decision-making in informational processes. Furthermore, this study discusses important barriers for MAS, such as lack of standardization, insufficient technological maturity, soaring costs, complex change management and a lack of existing use cases. From a theoretical perspective, it is shown how MAS can contribute to resilience research in supply chain management.

The identification and assessment of diverse MAS use cases informs managers about the potential of this technology and the barriers that need to be overcome.

This study fills a gap in the literature by providing a thorough and up-to-date assessment of the potential of MAS for logistics and supply chain management. To the best of the authors’ knowledge, this is the first study to investigate the relevance of MAS for logistics network resilience using the Delphi method.

This study uses an eye-tracking device to examine the effects of dissenting opinion on information search style and decision quality, using insights from dual-process theory. When evaluating strategic outcomes, managers not exposed to a dissenting opinion employ directed information search using System 1 (heuristic, automatic cognitive processing), leading to low-quality decisions. Providing a dissenting opinion causes managers to use System 2 (sequential information search characterized by deliberate, slow, and effortful cognitive processing), leading to higher-quality decisions. This study provides useful insights into the cognitive processes underlying managers' judgments, and the factors that influence their decisions. We conclude by discussing the critical role of dissent in business practices, and explain how dissent affects people's System 2 cognitive processes.

Despite the boom corporate social responsibility (CSR) and sustainability are enjoying nowadays in the agendas of both small and big companies, we still have difficulties in providing a clear definition of the concept of sustainability. There is no consensus on the criteria to be used to define and enhance responsible management that creates sustainable development.

After a systematic revision of the literature, authors have been mapping the limits of the research already done at different levels, dimensions, and horizons, so we do have a 360° map of the research on sustainability. Future developments are also explored to enrich and align the diverse approaches demanded to define this wide, complex, and by now, equivocal concept and the conclusions reveal the many gaps not yet covered in the research field, signposting key issues for further work.

Understanding how and why firms behave differently during re-internationalization has increasingly been at a premium in international business research. The authors conducted a case study of 11 Chinese international small and medium-sized enterprise and explored how they learned and recovered from involuntary de-internationalization. From case data, the “complete” re-internationalizers learned the lessons of foreign market exits more proactively than “partial” re-internationalizers. The complete re-internationalizers adopted internal and external sources of knowledge acquisition, “middle-up-down” information distribution and ambivalent information interpretation, while the partial re-internationalizers relied on internal sources of knowledge, “top-down” or “bottom-up” information distribution and univalent information interpretation. This study contributes by identifying the crucial role of learning processes to complete re-internationalization, which is absent in existing re-internationalization research.