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The present study is performed to identify the propagation mechanism of the ripple effect as well as examine the simultaneous impact of risks on supply chain (SC) performance.

A theoretical framework with many hypotheses regarding the relationships between SC risk types and performance is established. The data are collected from a large-scale survey supported by a project of the Japanese government to promote sustainable socioeconomic development for the Association of Southeast Asian Nations (ASEAN) region, with the participation of 207 firms. Structural equation modeling (SEM) is used to test the hypotheses of the theoretical framework.

It is indicated that human-made risk causes operational risk, while natural risk causes both supply risk and operational risk. Furthermore, the impacts of human-made risk and natural risk on performance are amplified through operational risk.

This study is one of the first attempts that identifies the propagation mechanism of the ripple effect and examines the simultaneous impact of risks on performance in construction SCs.

Although many studies on risk management in construction SCs have been carried out, they mainly focus on risk identification or quantification of risk impact. It is observed that research on the ripple effect of disruptions has been very scarce.

The primary aim of this paper is to illuminate the critical issue of the degree awarding gap in the UK, which significantly impacts students from lower socio-economic backgrounds and minority groups. By conducting a systematic review of existing literature following the PRISMA protocol, this study seeks to uncover the complex web of explanatory factors that mediate the relationship between contextual indicators, institutional culture, and degree awarding disparities. Addressing this gap is vital for promoting social justice, enhancing the economy, safeguarding the reputation of UK universities, and adhering to legal responsibilities. This paper endeavours to provide a comprehensive understanding of the underlying causes of degree awarding gaps and offer evidence-based recommendations for the higher education sector to mitigate these disparities.

This study employs a systematic review design, adhering to the PRISMA protocol, to meticulously analyse the existing body of literature concerning the degree awarding gap in UK higher education. By systematically gathering, evaluating, and synthesizing relevant studies, the review aims to identify and understand the multifaceted factors mediating the link between contextual indicators, institutional culture, and the disparities observed in degree awarding. This methodological approach ensures a rigorous and transparent examination of the literature, enabling the identification of both the breadth and depth of research on the topic. Through this design, the paper aspires to uncover nuanced insights into the mechanisms driving degree awarding gaps.

The review’s findings reveal that degree awarding gaps in UK universities are influenced by a constellation of factors, highlighting the complexity of this issue. Key among these are unconscious bias, limited student engagement opportunities with academic staff, institutional racism, inadequate support systems, and a scarcity of social and cultural capital. These factors collectively contribute to significant disparities in degree outcomes, disproportionately disadvantaging students from lower socio-economic backgrounds and minority groups. The evidence suggests that institutional practices and culture play a pivotal role in either exacerbating or alleviating these disparities, indicating the need for targeted interventions to address the root causes of degree awarding gaps.

One strength of conducting a systematic review is its rigorous and meticulous nature, which ensures that the process is carefully planned and executed. This comprehensive approach allows for the elimination of biases, as the review systematically gathers and analyses existing literature on the topic. By adhering to a structured methodology, the systematic review enhances the validity and reliability of the findings, providing a robust and unbiased synthesis of the available evidence. This strength lends credibility to the research and reinforces the confidence in the conclusions drawn from the review.

The practical implications arising from this information indicate that universities need to address the identified issues directly by implementing supportive strategies and interventions. By doing so, they can create a learning environment that is more inclusive and equitable, allowing all students to unlock their full potential. This may involve measures such as raising awareness about unconscious bias, promoting engagement between academic staff and students, implementing anti-racist policies, establishing comprehensive support systems, and actively fostering social and cultural capital. Such practical actions will contribute to reducing the degree awarding gaps and promoting equal opportunities for all students, ultimately leading to a more equitable and successful educational experience.

The social implications derived from this information are significant. By implementing supportive strategies and interventions to address the identified issues, universities can contribute to creating a more inclusive and equitable learning environment. This has the potential to have a transformative impact on society by providing equal opportunities for all students to unlock their full potential. By raising awareness about unconscious bias and implementing anti-racist policies, universities can foster a more diverse and inclusive community. Promoting engagement between academic staff and students and establishing comprehensive support systems can enhance social cohesion and create a sense of belonging. Ultimately, these efforts can lead to reduced degree awarding gaps and contribute to a more equitable and successful educational experience, positively influencing broader social equality and cohesion.

This paper contributes significantly to the literature by offering a comprehensive, systematic review of the factors contributing to the degree awarding gap in UK higher education, highlighting its originality and value. By focusing on the interplay between contextual indicators, institutional culture, and degree awarding disparities, the study provides novel insights into how these dynamics contribute to educational inequities. Furthermore, the evidence-based recommendations for institutional interventions presented in this paper furnish the higher education sector with actionable strategies to foster a more inclusive and equitable learning environment. This work not only advances academic understanding of degree awarding gaps but also offers practical value to policymakers and educational institutions aiming to enhance social justice in higher education.

The purpose of our study is to investigate the impact of corporate culture on sales order backlog.

The authors use regression analysis to examine the relation between corporate culture and the level of sales order backlog, an important leading indicator of firm performance.

Using a large panel sample of US firms for the period of 2003–2021, the authors find a significant and positive relation, suggesting that firms with strong corporate culture have a higher level of sales order backlog.

The study findings contribute to two separate areas of research: corporate culture in management literature and sales order backlog in accounting literature. Prior study has focused on the impact of corporate culture on current firm performance. This study extends prior research by investigating the impact of corporate culture on order backlog, an important leading indicator of future performance.

This study empirically demonstrates a contradiction between pillar 3 of Basel norms III and the designation of Systemically Important Banks (SIBs), also known as Too Big to Fail (TBTF). The objective of this study is threefold, which has been approached in a phased manner. The first is to determine the systemic importance of the banks under study; second, to examine if market discipline exists at different levels of systemic importance of banks and lastly, to examine if the strength of market discipline varies at different levels of systemic importance.

This study is based on all the public and private sector banks operating in the Indian banking sector. The Gaussian Mixture Model algorithm has been utilized to classify banks into distinct levels of systemic importance. Thereafter, market discipline has been observed by analyzing depositors' sentiments toward banks' risk (CAMEL indicators). The analysis has been performed by employing the system Generalized Method of Moments (GMM) to estimate models with different dependent variables.

The findings affirm the existence of market discipline across all levels of systemic importance. However, the strength of market discipline varies with the systemic importance of the banks, with weak market discipline being a negative externality of the SIBs designation.

By employing the Gaussian Mixture Model algorithm to develop a framework for categorizing banks on the basis of their systemic importance, this study is the first to go beyond the conventional method as outlined by the Reserve Bank of India (RBI).

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.

This study aims to perform innovation analysis for a product based on market, design and process dimensions. This integrated approach provides sustainability for product design and development.

A significant aspect of innovation is investigated to provide energy from the wastes collected in the reverse chain. First, the indicators related to the product opportunity gap were collected and ranked by the structural equation modeling (SEM) method. Indicators with a factor loading above 0.6 are selected and inserted into the proposed mathematical model. The proposed mathematical model was implemented in GAMS 28.2.0 to maximize energy production from waste and minimize the cost of product innovation. A case study on pistachio new packaging process innovation is investigated.

The results showed that in today’s competitive world where sustainability and the environment are important, the index of converting waste into energy is one of the main indicators of innovation. Consequently, flammability is extracted from the mathematical model as one of the most significant indicators leading to higher energy production with the lowest innovation cost.

New product development (NPD) is significant to sustain market share and satisfy customer needs. Different approaches are proposed to handle NPD, mostly focusing on the customer and design requirements.

Farmer sentiment may be an important indicator for the agricultural sector, similar to the way that consumer sentiment is linked to the general economy. This study uses the Purdue University–CME Group Ag Economy Barometer to test the degree to which farmer sentiment is correlated with demand for United States Department of Agriculture Farm Service Agency (FSA) direct loan applications.

We estimate the dynamics between farmer sentiment and applications to FSA direct operating or farm ownership loans using monthly measures of farmer sentiment and loan applications from October 2015 to April 2023 and pairwise vector autoregression.

A negative relationship exists between farmer sentiment and FSA direct operating loan applications. In contrast, a positive relationship exists between farmer sentiment and FSA direct farm ownership loan applications. Together, the estimated nonzero relationships suggests that the Ag Economy Barometer may be a leading indicator for the Agricultural Economy and that FSA loan programs play a nuanced role in the agricultural credit market.

This study uses unique data sources to further the discussion on the link between farmer sentiment and real economic outcomes and the role of an important US Federal Government farmer lending program: FSA direct loans.

Czechia is a small open economy and a member state of the European Union. Several important trends and episodes that have determined economic growth can be identified over the last two decades. This chapter deals with some macroeconomic features like macroeconomic and labour market performance within the business cycle, the Czech National Bank (CNB) exchange rate commitment and interest rate policy, increasing indebtedness and budget deficits, foreign trade and the international investment position. We applied publicly available data from Eurostat, the Organisation for Economic Co-operation and Development and CNB databases. The data show that the Czech economy was significantly converging to the average economic level of the European Union. We also identified key turning points in business cycles. Macroeconomic data on economic development of the economy indicate an atypical course of the business cycle between 2020 and 2022, which can be evaluated as different from the one that followed the global financial crisis.

In academia, assessment is often narrow in its focus on research productivity, its application of a limited number of standardised metrics and its summative approach aimed at selection. This approach, corresponding to an exclusive, subject-oriented concept of talent management, can be thought of as at odds with a broader view of the role of academic institutions as accelerating and improving science and scholarship and its societal impact. In recent years, open science practices as well as research integrity issues have increased awareness of the need for a more inclusive approach to assessment and talent management in academia, broadening assessment to reward the full spectrum of academic activities and, within that spectrum, deepening assessment by critically reflecting on the processes and indicators involved (both qualitative and quantitative). In terms of talent management, this would mean a move from research-focused assessment to assessment including all academic activities (including education, professional performance and leadership), a shift from focus on the individual to a focus on collaboration in teams (recognising contributions of both academic and support staff), increased attention for formative assessment and greater agency for those being evaluated, as well as around the data, tools and platforms used in assessment. Together, this represents a more inclusive, subject-oriented approach to talent management. Implementation of such changes requires involvement from university management, human resource management and academic and support staff at all career levels, and universities would benefit from participation in mutual learning initiatives currently taking shape in various regions of the world.