Search results

The purpose of this study is to investigate the current construction progress monitoring (CPM) process in relation to the contractual obligations, how project management teams carry out this activity in the field and why teams continue to adopt the current method. The study aims to provide a comprehensive understanding of the current monitoring process and its effectiveness, identify any shortcomings and propose recommendations for improvements that can lead to better project outcomes.

The study conducted semi-structured interviews with 28 construction management practitioners to explore their views on contractual requirements, traditional progress monitoring practices and advanced monitoring methods. Thematic analysis was used to identify existing processes, practices and incentives for advanced monitoring.

Standard construction contracts mandate current progress monitoring practices, which often rely on manual, document-centric and labor-intensive methods, leading to slow and erroneous progress reporting and project delays. Key barriers to adopting advanced tools include rigid contractual clauses, lack of incentives and the absence of reliable automated tools. A holistic automated approach that covers the entire CPM process, from planning to claim management, is needed as a viable alternative to traditional practices.

The study's findings can inform researchers, stakeholders and decision-makers about the existing monitoring practices and contribute to enhancing project management practices.

The study identified contractually mandated progress monitoring processes, traditional methods of collecting, transferring, analyzing and dispensing progress-related information and potential incentives and points of departure towards technologically advanced methods.

The purpose of this study is to investigate the impact of technology orientation (TO) on firm performance (FP). This study also aims to identify the mediating role of firm innovativeness (FI) in the relation between TO and FP.

Quantitative approach has been adopted for analyzing the impact of TO on FP in software houses located in two big cities of Pakistan. Mean, standard deviation, correlation and regression analysis were used.

Results proved that of TO predicts FP and FI mediate the relationship between TO and FP.

This study used cross-sectional further studies may be conducted using longitudinal research design for achieving in-depth insights.

Software houses should focus on TO and innovativeness for improving their performance.

This research guides the way to improve performance TO and innovativeness of software houses based on the empirical results.

The purpose of the proposed model is to assist the e-business to predict the churned users using machine learning. This paper aims to monitor the customer behavior and to perform decision-making accordingly.

The proposed model uses the 2-D convolutional neural network (CNN; a technique of deep learning). The proposed model is a layered architecture that comprises two different phases that are data load and preprocessing layer and 2-D CNN layer. In addition, the Apache Spark parallel and distributed framework is used to process the data in a parallel environment. Training data is captured from Kaggle by using Telco Customer Churn.

The proposed model is accurate and has an accuracy score of 0.963 out of 1. In addition, the training and validation loss is extremely less, which is 0.004. The confusion matric results show the true-positive values are 95% and the true-negative values are 94%. However, the false-negative is only 5% and the false-positive is only 6%, which is effective.

This paper highlights an inclusive description of preprocessing required for the CNN model. The data set is addressed more carefully for the successful customer churn prediction.

Islamic banks provide an alternative financial system based on Sharia’h (Islamic law). However, critics argue that operation at Islamic banks is violating Sharia’h particularly in terms of provision of interest free services, risk sharing and legal contract. The purpose of this paper is to empirically evaluate the Sharia’h practice at Islamic banks in Pakistan by considering some basic principles of Sharia’h.

Primary data are collected from 63 branches of Islamic banks in Pakistan. Questionnaire is used as an instrument. The study uses structural equation modeling that includes confirmatory factor analysis and regression analysis. Data are codified and analyzed using SPSS and Amos.

This study finds that Islamic banks are providing interest free services, ensuring that transactions and contracts offered by Islamic banks are legal and offering conflict-free environment to customers. In contrast, estimated results expose that Islamic banks are not sharing risk and Sharia’h supervisory board is not performing its role perfectly. Similarly, it is found that organization and distribution of zakat and qard-ul-hassan are weak at Islamic banks.

Data are collected from Islamabad federal capital of Pakistan that hold just 5 per cent share of Islamic banking industry. This small share may not provide true picture of Islamic banking sector.

To ensure risk sharing, Islamic banking industry must consider the development of new modes of financing and innovation of more products based on Sharia’h. State Bank of Pakistan should ensure separate regulatory framework that enable Islamic banks to provide qard-ul-hassan, organize and allocate zakat.

This paper discusses the perception of bankers, who are actually the executors, about Shariah’s practices at Islamic banks in Pakistan. There are not many discussions on this topic that could be found, and hence this could be considered as a significant contribution by this paper to the existing literature of Islamic finance.

In recent years, the fast growth of Islamic banks (IBs) has generated debates among policymakers and economists about the sustainability and performance of these institutions. This paper aims to undertake a comparative analysis of the financial performance of IBs and conventional banks (CBs) in Pakistan over the period 2008–2019 to evaluate how IBs are faring compared to their conventional peers.

This paper considers Financial Ratio Analysis (FRA) to analyse and compare the performance of the top-10 IBs and CBs operating in Pakistan. The sample includes five full-fledged IBs and five CBs which offer Islamic windows in Pakistan. The top-five performing CBs offering Islamic windows have been selected in this study.

The results show that IBs are better capitalized, less risky and have higher liquidity as compared to CBs. In contrast, the profits of IBs are found to be lower than those of CBs.

The study has provided an analysis of financial performance only for Pakistan. A cross-country analysis could be more representative of the performance of IBs.

The study infers that the size of the Islamic banking industry in Pakistan should be enhanced by opening new branches and promoting Islamic financial literacy.

The study assists investors, creditors, debtors and managers in making better decisions. It also provides the latest valuable information to regulators and policymakers that can be used to make rules and policies for the finance industry in Pakistan.

The coronavirus disease 2019 (COVID-19) pandemic has affected the global economy and, thus, the global construction industry. This paper aims to study the impact of COVID-19 on construction project performance in the United Arab Emirates (UAE).

This study adopted a qualitative and exploratory approach to investigate the impact of COVID-19 and its policies on project performance in the UAE construction industry in critical areas of the project management body of knowledge (e.g. schedule, cost, resources and contracts). Semi-structured interview questions were asked from ten construction professional to obtain valuable insights into the pandemic’s effects on the UAE construction industry and the effectiveness of policies implemented to rectify the damage and identify the industry’s new normal.

The findings indicate that the construction industry faced several challenges such as schedule delays, disrupted cashflows, delayed permits, approvals and inspections, travel restrictions, serious health and safety concerns, material and equipment shortages, among others which hindered the timely delivery of construction projects. It also indicates that efforts made by the government institutions and the construction industry of the UAE such as economic support programs, digitization of processes, fee and fine waivers, health facilities, among other statutory relaxations proved effective in supporting the construction industry against the adverse effects of the pandemic.

The research findings are limited to the literature review and ten semi-structured interviews seeking an expert’s opinion from industry professionals working in the UAE construction industry. The research team did not get access to project documents, contracts and project progress reports which may be required to validate the interview findings, and to perform an in-depth analysis quantifying the impact of COVID 19 on construction projects performance, which is a limitation of this research.

The implication is that, owing to the imposed lockdowns and strict precautionary measures to curb the rapid spread of the pandemic, smooth execution of the construction project across the country was affected. The government institutions and stakeholders of the construction projects introduced and implemented various techniques and solutions which effectively handled the implications of the COVID-19 pandemic on the construction industry of the UAE.

This study has identified the challenges faced by the construction industry of the UAE in the context of the management of project schedule, project cost, construction contracts, health and safety of construction employees and other related aspects of the construction projects. This study also identified the techniques and solutions adopted by various public and private institutions of the country and their implications on construction projects. Therefore, this study provides guidelines for policymakers and future research studies alike.

The Sustainable Development Goal (SDG) 16 outlines sustainability as associated with peace, good governance and justice. The perception of international tourists about security measures and risks is a key factor affecting destination choices, tourist flow and overall satisfaction. Thus, we investigate the impact of armed forces personnel, prices, economic stability, financial development and infrastructure on tourism.

This research used data from 130 countries from 1995 to 2019, which were divided into four income groups. This study employs a two-step generalized method of moments (GMM) technique and a novel tourism index comprising five relevant indicators of tourism.

A 1% increase in armed forces personnel expands tourism in all income groups – 0.369% High Income Countries (HICs), 0.348% Upper Middle Income Countries (UMICs), 0.247% Lower Middle Income Countries (LMICs) and 0.139% Low Income Countries (LICs). The size of the tourism-safety coefficient decreases from high to low-income groups. The impact of inflation is significantly negative in all panels, excluding LICs. The reduction in tourism was 0.033% in HICs, 0.049% in UMICs and 0.029% in LMICs for a 1% increase in prices. The increase in the global tourism index is more in LICs (0.055%), followed by LMICs (0.024%), UMICs (0.009%) and HICs (0.004%) for a 1% expansion in the gross domestic product (GDP)/capita growth. However, the magnitude of the growth-led tourism impact is greater in developing countries. A positive impact of foreign direct investment (FDI) inflow was found in all panels like 0.016% in HICs, 0.050% in UMICs and 0.119% in LMICs for a 1% increase in FDI inflow. The rise in the global tourism index is 0.097% (HICs), 0.124% (UMICs) and 0.310% (LMICs) for a 1% rise in the financial development index. The increase in the global tourism index is 0.487% (HICs), 0.420% (UMICs) and 0.136% (LICs) for a 1% rise in the infrastructure index.

Empirical analysis infers important policy implications such as (a) establishment of a peaceful environment via recruitment of security personnel, use of safe city cameras, modern technology and law enforcement; (b) provision of basic facilities to tourists like sanitation, drinking water, electricity, accommodation, quality food, fuel and communication network and (c) price stability through different tools of monetary and fiscal policy.

First, it explains the effect of security personnel on a comprehensive index of tourism instead of a single variable of tourism. Second, it captures the importance of economic stability (i.e., economic growth, financial development and FDI inflow) in the tourism–peace nexus.

The measurement of women's economic welfare and exploring its underlying factors have been undervalued in the context of Khyber Pakhtunkhwa, Pakistan. This study addressed this gap by focusing on assessing women's subjective economic welfare and its socioeconomic and cultural determinants in the education and health sectors within Mardan, Northern Pakistan.

The study used stratified random sampling techniques for the selection of sample respondents and collected data through a well-structured questionnaire. To measure women’s economic welfare, the study utilizes Lorenz curves, the Gini index, the Sen Social Welfare function and an individual's gross monthly income. Furthermore, the ordinary least squares method was utilized to analyze the determinants of economic welfare.

The findings show greater income inequality and a lower welfare level for women in the education sector compared to the health sector. Likewise, the study identifies several key determinants, such as age, educational qualification, job experience, respect for working women, outside and work-place problems and the suffering of family members of working women for their economic well-being.

This study makes valuable contributions to the literature by focusing on the cultural perspective of Pakhtun women in Mardan and providing a context-specific understanding of subjective economic welfare. Additionally, the authors collected first-hand data, which gave an original outlook on working women's current economic welfare level. Furthermore, this study undertakes a comparative analysis of working women's welfare in the health and education sectors. This comparison offers a more accurate portrayal of the challenges and opportunities specific to these occupations.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0246

The research on causes of economic performance has largely focused on economic factors. However, a simple focus on economic indicators cannot cause sustained equilibrium of economic performance. Social solidarity is of central importance in the fall or rise of a civilization. This study aims to analytically explore and empirically test the relationship of social capital with economic performance of the Muslim world using Islamic perspectives and an inclusive development approach.

This study uses a new index of “interpersonal safety and trust” to measure social capital. The empirical analysis is based on both cross-sectional and panel data methods of estimations.

The empirical findings of the study show that social capital is an important cause of economic performance in the Muslim world. The findings of the study are shown to be robust to different specifications, additional controls, econometric techniques and outliers.

To the best of the authors’ knowledge, this is first study of its kindly that analytically explores and empirically tests the relationship of social solidarity with economic performance of the Muslim world using Islamic perspectives.

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.