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With the increasing use of Internet and mobile handsets, mobile-based electronic payment apps (MEPAs) are becoming very popular around the world due to having various advantages. The intention of this exploratory study is to investigate the role/impact of selected factors in adopting three MEPAs of China: Wechat, Alipay and UnionPay based on the extended technology acceptance model (ETAM). After conducting a thorough and careful literature review, this study identified and divided seven such factors into three broad categories: (1) technological factors: perceived ease of use (PEU) and perceived usefulness (PU); (2) personal factors: perceived trust (PT), perceived privacy (PP) and perceived risk (PR); and (3) social factors: social influence (SI) and peer influence (PI) that were assumed to affect the intention to adopt MEPAs (IAMEPAs).

1,597 Chinese individuals were selected through purposive sampling technique who regularly used MEPAs at the time of collecting data. For collecting primary data from the selected respondents, a cross-sectional survey instrument was used. The study utilized IBM SPSS 25 for descriptive statistics and a second generation covariance-based structural equation modeling (CB-SEM) technique through AMOS 25 for testing the hypothesized relationships.

From statistical analysis, it was identified that five factors: PEU, PU, PT, SI and PI have significant positive impact on the dependent variable, IAMEPAs while PR and PP have insignificant influence on IAMEPAs.

This is one of the studies ever conducted to discover the factors that can have impact on the adoption of MEPAs using ETAM. It is strongly expected that this exploratory study can motivate the scholars to commence additional investigations regarding this increasingly popular financial technology (Fin-Tech). In addition, it can be anticipated that the MEPA service providers can widen their service effectiveness according to the users’ opinion reflected in this study. Furthermore, policymakers involved with Fin-Tech can also formulate and implement effective policies and guidelines based on the empirical outcomes.

There is growing recognition that effective project control systems (PCS) are critical to the success of projects. The relationship between the individual elements of PCS and successfully achieving project objectives has yet to be explored. This research investigates the enablers and barriers that influence the elements of PCS success and drive project objectives.

This study adopts a mixed approach of descriptive analysis and regression models to explore the impact of six PCS elements on project outcomes. Petroleum and chemical projects in Saudi Arabia were selected as a case study to validate the research model.

Data from a survey of 400 project managers in Saudi’s petroleum and chemical industry reveal that successful PCS are the key to achieving all project outcomes, but they are particularly critical for meeting project cost objectives. Project Governance was identified as the most important of the six PCS elements for meeting project objectives. A lack of standard processes emerged as the most significant barrier to achieving effective project governance, while having skilled and experienced project team members was the most significant enabler for implementing earned value.

The study offers a direction for implementing and developing PCS as a strategic tool and focuses on the PCS elements that can improve project outcomes.

This research contributes to project management knowledge and differs from previous attempts in two ways. Firstly, it investigates the elements of PCS that are critical to achieving project scope, schedule and cost objectives; secondly, enablers and barriers of PCS success are examined to see how they influence each element independently.

In an attempt to attain a better understanding of the research work on building information modeling (BIM) adoption, this study aims to examine the criticality of BIM adoption barriers in the Middle East and North Africa (MENA) developing countries from the lens of the sociotechnical theory. Further, the study investigates the differences in the perceptions of various constructions players (owners, contractors and designers) to BIM barriers, as well as possible discrepancies in the perception of BIM users and non-BIM users to the significance of the perceived constraints.

To reach this aim, the study starts with a systematic evaluation and a critical review of the literature on BIM barriers. A set of 22 BIM adoption limitations was drawn from the literature which was used to design the survey. To capture a broad perception, a mixed approach was used, and data were collected through an interview study and a survey involving Architecture, Engineering and Construction professionals in the MENA construction sector. The collected data were analyzed using the mean score, standard deviation and nonparametric tests. The further principal component analysis (PCA) grouped the barriers to uncover the latent factors of BIM barriers.

The actors ranked the barriers as follows: lack of knowledge and BIM awareness, commercial issues and investment cost, lack of skills and BIM specialist, interoperability and lack of client demand. The examination of the PCA resulted in four underlying BIM limitation factors namely: human, technological, structural and financial. The analysis of the ranking indicated that 16 of the 22 barriers are considered critical in the MENA area. The results of the Mann–Whitney test indicated that there is a statistically significant difference in perceptions of BIM users and nonuser for seven barriers, pointing out that users care most about the financial barriers; however, nonusers are mostly concerned with structural and technological barriers. However, the results of the Kruskal–Wallis test indicated that there is no statistically significant difference in the perceptions of the three categories of stakeholders in ranking all BIM barriers.

The outcomes will back policymakers and construction participants with the knowledge to develop policy propositions that can positively affect BIM adoption in the construction industry. The significance of this study lies in being one of the very first explorative investigations that comparatively and empirically explored BIM adoption barriers across the whole MENA developing countries.

While several research studies have examined BIM adoption barriers in various countries, none to the best of the authors' knowledge have attempted to study the whole MENA region as one entity, and none highlighted the impact of user's roles on their perception of adoption barriers within their community. The results contribute to the discussion of the relationship among practitioners' level of involvement in BIM projects and their perception of adoption barriers which is underrepresented in extant studies. The above can assist with prioritizing the barriers that are considered to be more significant given the characteristics of the community under study. The result revealed the value of the structural and human attributes in prioritizing BIM adoption barriers within the MENA construction industry.

The purpose of this study is to analyze the interaction between the enablers and barriers to successful project control system (PCS) implementation in petroleum and chemical projects and to provide a knowledge-based foundation for the evaluation of the dominant factors of PCS success.

An integrated approach of interpretive structural modeling (ISM) and cross-impact matrix multiplication applied to classification (Matrice d’Impacts Croisés Multiplication Appliquée à un Classement) were used. An expert group of industry professionals and academics was consulted at the initial stage as an input for the ISM methodology to explore the contextual relationships among the critical factors to PCS implementation in petroleum and chemical projects.

This study identifies three dominants enablers of PCS success: the technical skills of the project controller; explicitly defined roles of project team members; and an accurate work breakdown structure. Additionally, six dominant barriers to successful PCS implementation have been identified: lack of standard processes, vague contract deliverables, unclear project goals, unclear project milestones, disparate control system between owner and contractor and lack of information communication. Organizations in the petroleum and chemical sectors should put more effort into the development of these factors to optimize the implementation of PCS.

A limitation of this current study is its focus on the petroleum and chemical sectors in Saudi Arabia. It is expected that the findings will have wider applicability, but further studies in different sectors and geographic regions should be undertaken to validate this assumption. In this study, a second validation expert group was used to ensure the reliability of the results as much as was possible. However, further studies could be completed to evaluate alternate classification schemes and to test the robustness of the expert consensus and techniques reported, in this study, including an increased number of experts.

The present study makes some practical contributions to the project delivery process. It provides different project stakeholders with a better understanding of the factors that improve PCS outcomes and helps project owners and contractors to evaluate the PCS used by both parties to understand how they might be aligned for successful project execution.

The successful implementation of PCS is a key contributor to the total project delivery process. Although there is growing attention on PCS as a critical project management tool in petroleum and chemical projects, the literature in project management shows that PCS implementation has not been taken up as much as originally anticipated. This paper will address this gap by focusing on improving the take-up of strategical PCS implementation through the identification of six dominant enablers and nine dominant barriers as driver factors of success.

Iraqi universities in the aftermath of invasion in 2003 experienced extremely high levels of “post”-war violence and insecurity. The most widely known dimension of this violence is the shocking assassination campaign that killed hundreds of Iraqi academics. This paper provides an analysis of violence and insecurity in post-2003 that takes a broader optic and considers multiple forms of vulnerability to attack including insurgencies, sectarian conflict, and criminal violence. It also considers the various responses to the security dilemma taken by Coalition forces – principally counter-terrorism and stabilization efforts – and by Iraqi policy-makers and higher education communities, including security measures, politicization, ethno-sectarianization, and displacement.

This paper reports the developments of a project cost control system (PCCS) for construction projects to (1) measure its current level of cost control maturity, (2) examine the relationships between elements within PCCS processes and (3) identify improvement areas.

This study adopts a mixed approach of descriptive analysis and partial least squares structural equation modelling (PLS-SEM) to measure the current maturity level of PCCS and evaluate the relationships between elements within PCSS to identify improvement areas. Further importance-performance matrix analysis (IPMA) of priority constructs was conducted to improve a target construct and identify the most important areas of specific actions at indicator levels. The results of IPMA revealed the contrast that has the greatest importance on the performance of others so that the recommendations can be made accordingly. Data collected in New Zealand were used to develop the research model.

This study develops structural and measurement models with the constructs including pre-control, in-control and post-control processes, enablers and their proposed interrelationships. Then, data from survey of 184 experienced project cost control team members reveal that post-control has the lowest maturity or weakest areas in the PCCS. Data analysis facilitated by PLS-SEM confirmed that all the constructs in the structural model have positive and significant relationships with each other and suggested that systematic cost analysis reports, communication, skills and experience, defining roles and responsibilities, and top management's support should be the highest priority for improving the PCCS in a more effective manner.

This study presents one of the earliest attempts to develop and test an integrated model that links sub-processes in PCCS and their enablers. Secondly, this research adds to the construction project management literature by empirically verifying the roles of enablers in enhancing maturity level of PCCS.

The purpose of study is to examine the dual nature of the branches for the problem of Darcy–Forchheimer porous medium flow of rotating nanofluid on a linearly stretching/shrinking surface under the field of magnetic influence. The dual nature of the branches confronts the uniqueness and existence theorem, moreover, mathematically it is a great achievement. For engineering purposes, this study applied a linear stability test on the multiple branches to determine which solution is physically reliable (stable).

Nanofluid model has been developed with the help of Buongiorno model. The partial differential equations in space coordinates for the law of conservation of mass, momentum and energy have been transformed into ordinary differential equations by introducing the similarity variables. Two numerical techniques, namely, the shooting method in Maple software and the three-stage Lobatto IIIA method in Matlab software, have been used to find multiple branches and to accomplish stability analysis, respectively.

The parametric investigation has been executed to find the multiple branches and explore the effects on skin friction, Sherwood number, Nusselt number, concentration and temperature profiles. The findings exhibited the presence of dual branches only in the case of a shrinking sheet.

The originality of work is a determination of multiple branches and the performance of the stability analysis of the branches. It has also been confirmed that such a study has not yet been considered in the previous literature.

The purpose of this paper is to presents a new modeling approach that provides a measurement tool for evaluating the effectiveness of Project Control Systems (PCS) and the improvement of the project control capability as a part of an organization's project management processes.

This study used a project management maturity approach to develop a measurement model of PCS success. The key elements in this model have been identified using the Fuzzy Analytic Hierarchy Process (FAHP) method to analyze data from a case study involving contractor companies in Saudi's petroleum and chemical industry.

The results identified six critical elements for PCS success: (1) Change Management, (2) Earned Value, (3) Baselined Plan, (4) Resource Loaded, (5) Progress Method and (6) Governance Program. In addition, Project Forecasting and Corrective Action Verification were identified as the main areas where clients and contractors need to focus for the effective deployment of a PCS.

The results of this study were used to create a PCS Maturity Model (PCSMM) and a PCS Success Index (PCSSI). The value of this index can help project managers to identify the maturity level of their PCS and improvement areas that lead to enhanced project performance.

This research presents an alternative maturity model for PCS assessment that provides a practical tool to identify areas for improving the critical elements of PCS success. The study draws a clear distinction between overall project success and the success of the PCS.

This paper researches the diffusion patterns of various BIM functionalities across the Middle East and North Africa (MENA) construction industry.

The study grounds on the innovation diffusion theory proposition that both the internal and external factors drive the widespread adoption of innovative trends. The study empirically analyzes the diffusion patterns of BIM by employing and comparing three mathematical influence models: internal, external and mixed models.

The results of the questionnaires point out that the mixed model as having the highest explanatory power and shows that the internal influence factors outperform the external factors in affecting the diffusion of BIM functionalities in the MENA Architectural, Engineering, and Construction (AEC) industry.

This paper can be of significant value for academic researchers as well as BIM business developers who are interested in emerging markets via providing an enhanced understanding of the adoption process of different BIM functionalities as well as a theoretical basis for explaining the diffusion patterns of information technology innovations in the AEC industry.

This study is among the first applications of the influence models to examine the adoption of BIM functionalities in the AEC industry and the very first across the MENA region.