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This study aims to investigate the effect of monetary policy on housing prices for US economy. It specifically examines whether nominal or real interest rates are the key drivers behind fluctuations in housing prices in US.

Monthly data from January 1991 to July 2023 and various appropriate analytical tools such as unit root tests, Johansen’s cointegration test, vector error correction model (VECM), impulse response function and Granger causality test were applied for the data analysis.

The Johansen cointegration findings reveal the presence of a long-term relationship among the variables. VECM results indicate a negative correlation between nominal and real interest rates and housing prices in both the short and long terms, suggesting that a strict monetary policy can help in controlling the housing price increase in the USA. However, housing prices are more responsive to changes in nominal interest rates than to real interest rates. Additionally, the study reveals that the COVID-19 pandemic contributed to the upsurge in housing prices in the USA.

This study contributes by examining the role that nominal or real interest rates play in shaping housing prices in the USA. Moreover, given the recent significant upsurge in housing prices, this study presents a unique opportunity to investigate whether these price increases are influenced by the Federal Reserve's monetary policy decisions regarding nominal or real interest rates. Additionally, using monthly data, this study provides a deeper understanding of the fluctuations in housing prices and their connection to monetary policy tools.

Hybrid nanofluids have remarkable characteristics for improving the process of heat transfer. The findings suggest hybrid nanofluids are beneficial heat transfer fluids for industrial uses. Therefore, this article aims to investigate the Darcy–Forchheimer flow of Zn-TiO_2/H2O hybrid nanofluids through a vertically porous shrinking cylinder.

The thermal transportation phenomenon of radiated hybrid nanomaterials is studied subject to linear thermal radiation and chemical species with the consequence of non-uniform heat source/sink influence. The controlling flow and energy equations in the form of governing hybrid nanofluids are developed and then converted into ODEs by operating appropriate resemblance variables. Using the impacts of controlling parameters, the behaviors of flow constraints are interpreted graphically.

The current study’s outcomes reveal that the water-based hybrid nanomaterials show a promising upsurge in heat transfer rate. Similarly, as the mass transfer rate grows, the drag coefficient and energy transfer rate boost, while due to curvature relations, it tends to diminish for drag friction. In an upper branch solution, the flow field is improved by greater porosity parameter values, whereas in a lower branch solution, it deteriorates. Furthermore, the velocity profile depicts the opposite trend for upper and lower branches due to a boost in the mixed convection parameter.

In light of already conducted studies, the relation of internal heat source varying regarding thermal and space in the rheology of hybrid TiO₂-Zn/H_2O nanofluid possesses intriguing utilization in energy production strategies due to the exhibition of extensive heat energy. The most typical examples of this phenomenon can be observed in nuclear and chemical-reactor power stations, solar power plants for heating and cooling systems, combustion analysis equipment and so on. The current study is devoted to predicting the effect of a varied heat source on the thermal energy characteristics of mixed convective hybrid TiO_2-Zn/H2O nanofluid flow through the vertical cylinder.

Blockchain, a groundbreaking technology that recently surfaced, is under thorough scrutiny due to its prospective utility across different sectors. This research aims to delve into and assess the cognitive elements that impact the integration of blockchain technology (BT) within library environments.

Utilizing the Stimulus–Organism–Response (SOR) theory, this research aims to facilitate the implementation of BT within academic institution libraries and provide valuable insights for managerial decision-making. A two-staged deep learning structural equation modelling artificial neural network (ANN) analysis was conducted on 583 computer experts affiliated with academic institutions across various countries to gather relevant information.

The research model can correspondingly expound 71% and 60% of the variance in trust and adoption intention of BT in libraries, where ANN results indicate that perceived possession is the primary predictor, with a technical capability factor that has a normalized significance of 84%. The study successfully identified the relationship of each variable of our conceptual model.

Unlike the SOR theory framework that uses a linear model and theoretically assumes that all relationships are significant, to the best of the authors’ knowledge, it is the first study to validate ANN and SEM in a library context successfully. The results of the two-step PLS–SEM and ANN technique demonstrate that the usage of ANN validates the PLS–SEM analysis. ANN can represent complicated linear and nonlinear connections with higher prediction accuracy than SEM approaches. Also, an importance-performance Map analysis of the PLS–SEM data offers a more detailed insight into each factor's significance and performance.

This study examines how project leaders’ knowledge hiding influences project performance via project employee creativity, employing the conservation of resources theory. Further, we investigate how mastery motivational climate (MMC) moderates the project employee creativity and project performance relationship.

Employing purposive sampling design, two-wave data (N = 245) was collected with a gap of three weeks from employees working in R&D departments in private software development project-based organizations located in Lahore, Pakistan.

Results suggest that leaders’ knowledge hiding does impede project employee creativity and negatively influence project performance. In addition, MMC was found to accentuate the relationship between project employee creativity and project performance.

This study offers notable insights into the knowledge hiding literature from a top-down perspective within the project management domain relating to IT projects. This study’s findings pose implications for practitioners and project-based organizations who are interested in counteracting the adverse effects of knowledge hiding on project performance.

This study proposes a novel approach to job design by considering resource scarcity caused by a leader’s knowledge hiding as a job demand, along with the achievement goal perspective driven by a mastery or goal orientation. To understand these two perspectives, we rely on the conservation of resources (COR) theory to describe how a leader’s knowledge hiding affects project performance through project employee creativity, moderated by mastery motivational climate.

Entrepreneurs belonging to ethnic minority groups have emerged as a significant and more powerful element within the private sector, having considerable economic and social impact. Nevertheless, prior empirical research has indicated that each geographical area has distinct social and cultural obstacles that impact entrepreneurs in varying ways. Hence, the purpose of this study is to examine the difficulties and barriers faced by women entrepreneurs from diverse ethnic origins in the United Kingdom, a developed region, while managing their firms.

In this research, the cross-concepts of intersectional theory were used as the study’s analytical framework. The research methodology involved conducting semi-structured face-to-face interviews with a group of 30 Nepali women entrepreneurs residing in the United Kingdom. A qualitative approach was employed, and thematic analysis was used to extract meaningful findings.

The study’s outcomes underscore the emergence of social stereotypes as a salient factor affecting Nepali female entrepreneurs. Furthermore, the research identifies challenges and barriers, which fall into several cross-concept categories: those related to self-efficacy; family; social and cultural factors; business-related issues; access to financial resources; and ethnicity and work-based categorization. The findings might also have broader implications, benefiting ethnic female entrepreneurs in general, as well as ethnic communities and governmental and non-governmental organizations. Insights gained from the study can inform the development of tailored training and educational programs aimed at supporting and nurturing the entrepreneurial aspirations of ethnic women.

To the best of the researchers’ knowledge, there is a dearth of empirical investigations that probe the challenges and barriers faced by Nepali women who have embarked on entrepreneurial endeavours in the UK. This study contributes to the limited literature knowledge on ethnic women entrepreneurs, by linking ethnicity, class and gender/sexual orientation, as well as business, family, personal and financial constructs. By adopting the cross-concept of intersectional theory, this study further contributes to the knowledge of the discriminatory realities of Nepali women entrepreneurs as they grapple with the complex experiences of running a business. By doing this, our study can contribute further to the knowledge of gender and entrepreneurship from the ethnic background of UK enterprises.

This study aims to examine the environmental impact of fossil fuel use in newly industrialized countries (NICs), focusing on the relationship between economic growth, energy consumption and environmental sustainability from 1971 to 2020.

The research uses pool mean group autoregressive distributive lag, fully modified ordinary least squares and dynamic ordinary least squares econometric models to analyze long-run data. These methods enable a detailed assessment of how economic and industrial factors affect environmental pollution.

The study finds that nonrenewable energy consumption is positively linked to environmental pollution, with a 1% increase leading to a 6.25% rise in pollution. Industrialization, urbanization and globalization also significantly increase pollution, with increments of 2.51%, 3.97% and 2.11%, respectively. Conversely, economic growth has a beneficial effect, reducing pollution by 2.59% for every 1% increase in growth.

Policymakers should balance economic growth with environmental sustainability by reducing nonrenewable energy consumption and supporting renewable energy adoption.

This research provides fresh insights into the dynamics between economic growth and environmental pollution in NICs. By using advanced econometric techniques over an extended period, it offers a view of how economic and industrial activities influence environmental outcomes, highlighting the dual role of economic growth in both promoting development and reducing pollution.

This study aims to analyze the challenges in financing the healthcare system of Pakistan and develop a comprehensive health financing strategy aimed at achieving universal health coverage (UHC).

The paper utilizes World Health Organization (WHO) framework on health financing to build the argument. It uses qualitative research design involving focus group discussions and in-depth interviews with key stakeholders, including Federal Board of Revenue, Ministry of Finance, Planning Commission, development partners, academia and health ministries at federal and provincial levels, as well as social health insurance entities.

The research findings highlight several critical issues within Pakistan’s healthcare system: Firstly, health spending is inadequate to provide financial protection to 24 million people. Secondly, the available health funding is allocated in clusters and caters primarily to specific groups, which exacerbates inequities in healthcare provision. Thirdly, the existence of multiple purchasing agents who operate concurrently to buy health services results in duplication and wastage of resources. Fourthly, the public financial management system, intended to support the swift distribution of public funds to health facilities, is not aligned with the requirements of the health system. Lastly, the devolved health setup has led to governance issues in managing the health sector.

This study fills a significant gap in the literature on health financing within Pakistan and proposes a unique empirical approach using WHO’s framework in a decentralized healthcare context. It also provides actionable recommendations for policymakers to develop strategies that improve the effectiveness of public financial management and health service delivery.

This research aims to systematically compare the impact of macro drivers on labor efficiency (LEFF) in high and low trade openness economies, employing the Solow model as the theoretical framework.

This study examines the influence of macro drivers on LEFF from 1995 to 2020, employing advanced panel regression methods such as stepwise regression (SR), fully modified ordinary least squares (FMOLS) and panel OLS. It utilizes Pedroni and Johansen co-integration tests to assess long-term dynamics and Granger causality tests to explore causal relationships between macro drivers and LEFF.

The results reveal both long-term and short-term relationships between LEFF and the macro drivers: gross capital formation (GCF), per capita income (PCI), foreign direct investment (FDI), trade openness (TOP) and gross national savings (GNS). The findings show that these macro drivers positively and significantly influence LEFF in both high and low TOP economies. Specifically, FDI, PCI and GNS have a more substantial positive impact on LEFF in low TOP economies, while GCF and TOP have a greater influence in high TOP economies. Furthermore, in high TOP economies, FDI, TOP and PCI exhibit a unidirectional relationship with LEFF, while GNS and GCF show a bidirectional relationship. In low TOP economies, all five macrodrivers exhibit bidirectional relationships with LEFF.

This research focuses on countries with high and low TOP, limiting the generalizability of its findings to other economic systems due to the unique trade, institutional and governance frameworks of these two distinct groups.

To the best of the authors’ knowledge, this study is the first to compare the impact of theoretical macro drivers on LEFF across groups of countries differentiated by their degrees of TOP (high and low).

This paper assesses the environment of legitimacy by determining the role of institutional quality and policy uncertainty on the performance of five major South Asian stock markets (India, Pakistan, Bangladesh, Sri Lanka, and Nepal) using 21 years data from 2000 to 2020. The focus of this study is to approach the issue of the environment of legitimacy that leads to sustained market returns.

Panel cointegration tests of Kao and Pedroni are applied, and the Dynamic Panel Vector Autoregressive (PVAR) model is used to determine the estimates.

ADF P-Values of both Kao and Pedroni tests show that the panels are cointegrated; the statistical significance of the results of the Kao and Pedroni panel cointegration test confirms cointegration among the variables. After determining the most appropriate lag, the analysis is done using PVAR. The results indicate that institutional quality, policy uncertainty, and GDP positively affect stock market return. Meanwhile, government actions and inflation negatively affect stock market returns. On the other hand, stock market return positively affects institutional quality, government action, policy uncertainty, and GDP. While stock market return negatively affects inflation.

The sample is taken only from a limited number of South Asian countries, and the period is also limited to 21 years.

Based on our research findings, we have identified several policy implications recommended to enhance and sustain the performance of stock markets.

This paper uses a unique analytical tool, which gives a better insight into the problem. The value of this work lies in its findings, which also have practical implications and theoretical significance.

The purpose of this study is to examine the role of knowledge management practices, organisational commitment and capacity building on employee performance in the hotel industry. This study also investigated the mediating role of organisational commitment and capacity building between knowledge management practices and employee performance.

A quantitative approach and questionnaire survey were used to collect data from hotel employees from Malaysia. Self-administered questionnaires were distributed to collect data from 291 participants, and partial least squares structural equation modelling was used to analyse the hypotheses.

The results of this study confirm that knowledge management practices positively and significantly affect knowledge-employee performance. Employees achieve this performance through the mediating influence of organisational commitment and capacity building culture.

This study offers several implications for Malaysian practitioners and policymakers regarding learning and knowledge management practices in the hospitality industry. The results suggest that organisations can manage knowledge assets and key processes of the organisational environment to create and use knowledge to improve sustainable employee performance through knowledge management practices.

This study sheds light on the knowledge management literature by examining the effect of knowledge management practices on organisational commitment, particularly in the hospitality industry in Malaysia.