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It becomes a strategic option for enterprises to upgrade and improve supply chain efficiency (SCE) by promoting the digital transformation (DT). This study formulated a parallel mediation model to analyze the relationships among DT, supply chain transparency (SCT), supply chain agility (SCA) and SCE to reveal how DT affects SCE through the mediation of SCT and SCA.

Three paradigms, i.e. resource-based view (RBV), dynamic capability view (DCV) and structure-conduct-performance (SCP) were employed to address the parallel mediation effects. A total of 392 questionnaires (samples) from the port-hinterland supply chain in the DT pilot project of New Land-Sea Corridor in western China were collected, which was then applied to formulate a structural equation model (SEM) to verify the proposed hypotheses.

The results confirmed the existences of parallel mediating effects of SCT and SCA between DT and SCE. On one hand, the direct effect of DT on SCE is not significant when SCT and SCE plays jointly impacts on DT and SCE. On the other hand, SCT and SCA play a positive parallel full mediating effect of DT on SCE.

This study contributed to the literature on changing activities of SCE in DT processes. Specifically, it highlighted how DT leads to SCE via SCT and SCA activities. In addition, this study specified the conditions that the insignificant direct effect of DT has reflects on SCE, it is the time when SCT and SCE are jointly acting on DT and SCE.

By integrating insights from the RBV, DCV and SCP paradigms, this study clarified the mechanisms of DT on SCE, and provided insight on the role of SCT and SCA in the relationship between DT and SCE. The novelty of this study and the results extend the existing literature and provide implications for future research.

Intellectual capital (IC) plays a pivotal role in determining corporate risk profiles in the contemporary knowledge era. Consequently, this study aims to analyze the impact of IC on firm risk (FR) among the manufacturing companies listed on the Pakistan Stock Exchange (PSX).

The authors have adopted the modified value-added intellectual model which combines human capital efficiency, structural capital efficiency, efficiency of capital employed and relational capital efficiency. FR has been used as the dependent variable, measured as the standard deviation of the daily stock prices. The study has used panel data from a sample of 40 manufacturing companies listed in the KSE-100 Index from 2015 to 2021.

The results suggest that IC has a significant impact on the FR of manufacturing companies listed on the benchmark index of PSX. Moreover, this relationship is direct; thus, an increase in IC would also increase FR measured by the change in stock prices.

The current study has only used linear techniques. Future researchers may consider investigating the impact of IC at varying levels of FR using nonlinear techniques.

This study provides corporate managers and policymakers valuable insight into the need to strike a balance between investment in IC and their FR, particularly in an emerging market context.

IC is frequently associated with firm performance. However, the relationship between IC and FR has generally been underexplored. This study adds to the strand of limited IC literature by investigating the impact of a modified IC model on FR in an emerging economy.

The objective of this paper is to examine the determinants of the Greek house market during the period 2006–2022 using not only economic variables but also behavioral variables, taking advantage of available information on the volume of Google searches. In order to quantify the behavioral variables, we implement a Python code using the Pytrends 4.9.2 library.

In our study, we assert that models relying solely on economic variables, such as GDP growth, mortgage interest rates and inflation, may lack precision compared to those that integrate behavioral indicators. Recognizing the importance of behavioral insights, we incorporate Google Trends data as a key behavioral indicator, aiming to enhance our understanding of market dynamics by capturing online interest in Greek real estate through searches related to house prices, sales and related topics. To quantify our behavioral indicators, we utilize a Python code leveraging Pytrends, enabling us to extract relevant queries for global and local searches. We employ the EGARCH(1,1) model on the Greek house price index, testing several macroeconomic variables alongside our Google Trends indexes to explain housing returns.

Our findings show that in some cases the relationship between economic variables, such as inflation and mortgage rates, and house prices is not always consistent with the theory because we should highlight the special conditions of the examined country. The country of our sample, Greece, presents the special case of a country with severe sovereign debt issues, which at the same time has the privilege to have a strong currency and the support and the obligations of being an EU/EMU member.

The results suggest that Google Trends can be a valuable tool for academics and practitioners in order to understand what drives house prices. However, further research should be carried out on this topic, for example, causality relationships, to gain deeper insight into the possibilities and limitations of using such tools in analyzing housing market trends.

This is the first paper, to the best of our knowledge, that examines the benefits of Google Trends in studying the Greek house market.

The primary objective of this paper is to investigate the relation between the joint provision of sustainability assurance and the readability of sustainability assurance statements. Additionally, it explores whether the presence of a female assurance partner influences the relation between the joint provision of sustainability assurance and the readability of sustainability assurance statements.

We analyzed a dataset comprising 882 firm-year observations from companies operating in sustainability sensitive industries for the period that spans the years 2016–2018.

The research indicates that joint sustainability assurance provision is associated with a more readable sustainability assurance statement, consistent with the “four-eyes” principle. Furthermore, the presence of a female assurance provider influences the joint assurance provision’s impact on sustainability assurance statement readability. Collectively, these results remain robust as they hold unchanged after controlling for endogeneity concerns.

This study provides novel insights into the recent sustainability assurance literature, being the first to examine joint assurance provision, assurance partner gender and sustainability assurance statement readability.

This study has the potential to catalyze regulatory and policy initiatives by providing compelling evidence in favor of mandating joint audits within the area of sustainability assurance practices. Additionally, this research contributes to the ongoing discussion about gender diversity in accounting and nonaccounting assurance firms, providing evidence of the positive impact of female assurance partners on sustainability assurance statement readability.

The regression results provide preliminary evidence on how the presence of a female audit partner influences the relationship between the sustainability assurance joint provision and sustainability assurance statement readability, an issue that has not been examined before.

This study aims to investigate the corrosion behavior of cold-rolled Fe₃₅Ni₂₀C_r12Mn_(28-x)Al_x high-entropy alloys (HEAs) using the potentiodynamic polarization technique in 1 M H₂SO₄ acid. Additionally, the influence of molybdenum (Mo) additions as inhibitors and the effect of variations in cold rolling reduction ratios and Al content on corrosion behavior are examined.

Two cold rolling reduction ratios, namely, 50% (R50) and 90% (R90), were examined for the cold-rolled Fe₃₅Ni₂₀Cr₁₂Mn₂₈Al₅ (Al₅) and Fe₃₅Ni₂₀Cr₁₂Mn₂₃Al₁₀ (Al₁₀) HEAs. Mo inhibitor additions were introduced at varying concentrations of 0.3, 0.6 and 0.9 Wt.%. The potentiodynamic polarization technique was used to evaluate the corrosion rates (CRs) under different experimental conditions.

The results indicate that the addition of 0.3 Wt.% Mo in 1 M H₂SO₄ yielded the lowest CR for both R50 and R90, irrespective of the Al content in the HEAs. However, the highest CR was observed at 0.6 Wt.% Mo addition. Furthermore, increasing the concentration of Al resulted in a corresponding rise in the CR. Comparatively, the CR decreased significantly when the cold rolling reduction ratio increased from R50 to R90.

This research provides valuable insights into the intricate relationship between Mo inhibitors, cold rolling reduction ratio, Al content and the resulting corrosion behavior of Fe₃₅Ni₂₀Cr₁₂Mn_(28-x)Al_x HEAs. The comprehensive analysis of corroded HEAs, including surface morphology, compositions and elemental distribution mapping, contributes to the understanding of the corrosion mechanisms and offers potential strategies for enhancing the corrosion behavior of HEAs.

Research has shown that science, technology, engineering and mathematics (STEM) self-beliefs and enjoyment are critical factors for predicting female students’ persistence in STEM degrees and careers. Studies have shown the positive effects of informal STEM learning experiences on female students’ self-beliefs. However, with the rise of all-female STEM learning experiences, such as summer camps, considering the potential advantages and disadvantages of co-ed options is important. Further, prior STEM education research has focused on sex differences in students’ self-efficacy and STEM career interests. Our study aims to examine within sex differences in secondary, female students (n = 104) who attend either a co-ed STEM camp or a same-sex STEM camp.

To examine potential differences, we conducted independent sample t-tests.

Results of the study include statistically significant differences in mathematics and science self-efficacy as well as STEM career interest after participating in their respective camps.

Further, prior research in STEM education has focused on between sex differences in students’ self-efficacy and STEM career interest.

We examined how high school students demonstrated historical empathy through conducting local history place-based research to create an exhibit and companion book about the impact of the COVID-19 pandemic on their community. The majority of existing historical empathy scholarship focuses on classroom-based inquiry of historical events, people and time periods. We contend that broader examination of how historical empathy can be promoted beyond school-based instruction can contribute to the field by examining how student analyses of historical contexts and perspectives, and making affective connections to historical topics of study are needed when engaging in placed-based local history projects.

Qualitative case study methodology was implemented for this study. A Likert-scale survey with a questionnaire was distributed to 30 high school study participants. Thirteen students gave follow-up interviews. Students’ responses on the surveys, interviews and questionnaires were organized into three categories that aligned to the theoretical framework – identification of historical contexts of the sources that students collected, analysis of how contexts shaped the perspectives expressed in the collected sources and expression of reasoned connections between the students’ emotions and experiences during the pandemic. A rubric was used to examine how students’ writing samples and reflections reflected demonstration of historical empathy.

Students responded that their local history research about the pandemic contributed to their displays of historical empathy. Students displayed weaker evidence of historical empathy while examining archival resources to explain the historical contexts of the pandemic. Student demonstration of historical empathy was stronger when analyzing community-sourced documents for perspectives and making reasoned affective connections to what they learned about the historical significance of the pandemic. The place-based aspects of this project were strongly connected to the students’ engagement in historical empathy because the sources they analyzed were relevant to their experiences and identities as citizens in their community.

Documenting the diverse human experiences during the COVID-19 pandemic is crucial to preserving the history of this extraordinary time. Every person around the globe experienced the pandemic differently, hence riding out the same storm in different boats. At some point, the pandemic will appear in historical narratives of the social studies curriculum. Therefore, now is an opportune time to ascertain whether place-based local history research about the contexts, perspectives and experiences of community members and children themselves, during the pandemic can foster historical empathy.