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The purpose of this paper is to develop a preventive maintenance (PM) model for auxiliary components whose failures may not necessarily correspond to system failure but rather to faster system degradation.

The concept of load sharing was utilized to build a suitable Markov model for the problem. Regression analysis was used to estimate the various transition rates of the model. A real field application was used to illustrate the model.

Models addressing the design of an optimal PM strategy for such a problem are rare in the literature. The load‐sharing concept was borrowed and found very useful to model this problem. Regression analysis based on real field data was also found to be useful to estimate the model transition rates.

This paper addresses a problem that is not given enough attention in the currently available literature. Available models assume that a PM activity will restore the equipment to an as new, or at least to a better, condition. There exist situations, however, where a PM activity does not amend any damage but instead slows down further deterioration.

Although there has been a surge in the adoption of building information modelling (BIM) in the construction industry, the small and medium-sized enterprises (SMEs) are still struggling and perceive its adoption as risky. The SMEs in developing economies are especially on the disadvantaged side of the digital divide. Extant studies have focused on large firms and there are scanty studies on the influence of the external environments on BIM adoption in SMEs. Thus, this study espouses institutional theory (INT) to examine the influence of coercive, mimetic, and normative pressures on BIM awareness and adoption in SMEs.

A quantitative approach was employed, and data were collected from the Nigerian construction SMEs via an empirical questionnaire survey using a sequential stratified and convenient sampling method. Hypothesized relationships between the coercive, mimetic, and normative pressure and BIM in SMEs were empirically tested using the partial least squares structural equation modelling (PLS-SEM) technique and the model was validated with the “PLSpredict” procedure.

The results revealed that coercive and mimetic pressures significantly influence BIM adoption in SMEs while normative pressures have the strongest influence on BIM in SMEs. Also, BIM awareness is an important predictor of BIM adoption. The findings also shed light on the influence of firmographics on BIM awareness and adoption in Nigerian SMEs.

The study empirically validates the applicability of INT and highlights that BIM adoption is not only influenced by internal responses to the need for efficiency but also by external pressures. It implies a clear need for intentional isomorphic pressures in driving BIM adoption in SMEs. The study employs the INT to explain a phenomenon that has not been theoretically explored in the context of SMEs in developing economies. Lastly, the study provided valuable insights into driving BIM adoption, together with the effective practical implications for implementation and potential research areas for further studies.

Cost overruns have been identified as the most significant challenge for construction sector stakeholders. Like many developing countries, the Iranian construction industry suffers from poor cost performance. So, the current research aims to investigate the causes of cost overrun in Iranian construction projects. This paper also reviews the findings of similar studies conducted in several Asian countries.

This paper includes a literature review and a quantitative method with a questionnaire survey. The review is limited to the studies investigating the causes of cost overrun in an Asian country in the last decade. Moreover, the current research was conducted through a questionnaire prepared based on 43 common factors identified through the literature review. The required data were gathered from the representatives involved in handling construction activities in Iran. The collected data were analyzed based on relative importance index (RII), using the SPSS software package.

The results showed that poor site management, improper planning, fluctuation of prices of materials, lack of experience, and poor economic condition are the critical reasons for cost overrun in Iranian construction projects. The findings also indicated that among the studies conducted in Asian countries, the first three factors have the highest frequency.

This paper highlighted most studies concerning the cost overrun factors in construction projects in different Asian countries in recent years. Up-to-date knowledge helps to understand the complexity of this field in various periods and therefore minimizes the risk of cost overrun. This research can also be used as a benchmark for further studies to clarify similar issues in other developing countries.

Today's market environment is characterized by an increasing demand for greater product variety. This has inevitably led to decreased product life cycle and forced volume manufacturers to consider switching from the mass production of a limited range of products to lower volume production of a wider range. This trend is observable in moves towards lean production within the car industry.

The purpose of this paper is to provide comprehensive information on preventive maintenance (PM) planning and methods used in the industry in order to achieve an effective maintenance system.

The literature review is organized in a way that provides the general overview of the researches done in the PM. This paper discusses the literatures that had been reviewed on four main topics, which are the holistic view of maintenance policies, PM planning, PM planning concept and PM planning-based in developing optimal planning in executing PM actions.

PM policy is one of the original proactive techniques that has been used since the start of researches on maintenance system. Review of the methods presented in this paper shows that most researches analyse effectiveness using artificial intelligence, simulation, mathematical formulation, matrix formation, critical analysis and multi-criteria method. While in practice, PM activities were either planned based on cost, time or failure. Research trends on planning and methods for PM show that the variation of approaches used over the year from early 1990s until today.

Research about PM is known to be extensively conducted and majority of companies applied the policy in their production line. However, most analysis and method suggested in published literatures were done based on mathematical computation rather than focussing on solution to real problems in the industry. This normally would lead to the problems in understanding by the practitioner. Therefore, this paper presented researches on PM planning and suggested on the methods that are practical, simple and effective for application in the real industry.

The originality of this paper comes from its detail analysis of PM planning in term of its research focus and also direction for application. Extensive reviews on the methods adopted in relation to PM planning based on the planning-based such as cost-based, time-based and failure-based were also provided.

Construction projects in the oil and gas sector are greatly affected by external risk factors, especially those related to the economy, politics, security and stability factors. Hence, this research aimed to investigate the fundamental relationship between the external risk factors and their effects on the construction project success using Structural Equation Modeling method and PLS-SEM approach.

Data collected through a structured survey distributed to projects teams in the oil and gas sectors in Yemeni companies involved in mega construction projects. A hierarchical model for assessing causative external risk factors and their effects on project success was developed and analyzed using Smart PLS 3 software of SEM.

The findings showed that economic, political, force majeure and security-related risk factors had a strong effect on project success. Besides, the Coefficient of Determination (R-squared value) equals 0.743, represented the proportion of variation in the dependent variable(s), which can be explained by one or more predictor variable. Moreover, the predictive relevance value Q2 is 0.375 above zero, which indicates that the conceptual model can predict the endogenous latent constructs. The calculated Goodness of Fit (GoF) Index of the model was 0.699, which shows that the developed model had substantial explanatory power to represent the relationship between the cause of external risk factors to and the effect on construction project success.

This research was limited to the oil and gas construction projects in Yemen as case study.

Practically, this study highlights the external risk factors that cause a negative effect on the success of oil and gas construction projects in Yemen. The research model of these factors is the first step in the risk management process to develop strategic responses for risks and explain the relationship between cause and effect on project success.

The model of external risks factors that cause the failure of construction projects helps develop response strategies for these risks, thereby increasing the chances of project success reflected in the oil and gas sector, which is a main tributary of the national economy in developing countries.

There is a need to improve the planning of economic and security performance as well as to mitigate political risk factors effects on project success and other risk factors discussed in this study, which effect on construction project success according to their priorities.

The oil and gas construction projects are affected negatively by the drop in oil price in recent years. Thus, most engineering, procurement and construction (EPC) companies are opting to optimize the project mainly to mitigate the source of risks in construction to achieve the project expectation. Risk factors cause a threat to the project objectives regarding time, cost and quality. It is additionally a vital component in deviating from the client's expectation of productivity, safety and standards. This research aims to investigate the causes of risk in the oil and gas construction projects in Yemen.

A comprehensive literature review from various sources including books, conference proceedings, the Internet project management journals and oil and gas industry journals was conducted to achieve the objectives of this study. This initial work was predicated strictly on a literature review and the judgments of experts to develop the risk factor framework for the oil and gas construction projects in Yemen.

The authors found a few studies related to risk factors in oil and gas construction projects and shared a similar view about general construction projects. However, only a fraction of the factors accepted have included the variances of other studies on a regional basis or specific countries, such as the Yemen situation, due to the differences between the general construction industry and oil and gas industry. Moreover, the factors of these attributes were still accepted due to their applicability to the oil and gas industry, and no significant variances existed between countries. Research has indicated that 51 critical factors cause risks in the oil and gas construction projects in Yemen. Such risk factors can be divided into two major groups: (1) internal risk factors, including seven critical sources of risks, namely client, contractor, consultant, feasibility study and design, tendering and contract, resources and material supply and project management; and (2) external risk factors, including six sources of critical risk factors, namely national economic, political risk, local people, environment and safety, security risk and force-majeure-related risk factors. A risk factor framework was developed to identify the critical risk factors in the oil and gas construction projects in Yemen.

This research was limited to the oil and gas construction projects.

Practically, this study highlights the risk factors that cause a negative effect on the success of oil and gas construction projects in Yemen. The identification of these factors is the first step in the risk management process to develop strategic responses for risks and enhance the chances of project success.

The identification of risks factors that cause the failure of construction projects helps develop response strategies for these risks, thereby increasing the chances of project success reflected in the oil and gas sector, which is a main tributary of the national economy in developing countries.

This research is the pioneer for future investigations into this vital economic sector. Given the lack of resources and studies in the field of construction projects for the Yemeni oil and gas sector, the Yemeni government, oil companies and researchers in this field are expected to benefit from the results of this study. The critical risk factors specific to the oil and gas construction projects in Yemen should be further investigated with focus only on Yemen and its oil and gas industry players.

In a system where two material flows with sequence dependency are matched, the use of real‐time information to monitor and control the sequencing buffer improves the system′s ability to schedule many different models, compared with a system with no information at all. In the latter case, the system is upset considerably when more than four different models enter the system. Shows how the performance of a car‐body shop is affected when real‐time information about progress in sub‐systems is available to the scheduler. A case study at a car plant and a simulation study were carried out.

The purpose of this paper is to investigate the relationship between employee loyalty (Organizational Commitment) and its two dimensions namely, affective commitment (AC) and continuance commitment (CC) with employee engagement.

A self-administered questionnaire was used for collecting the study data from 50 employees who represent three managerial levels from the government sector in United Arab Emirates (UAE). Three hypotheses were developed in order to test the said relationship. Hypotheses were tested through using various testes namely: the correlation coefficient and the regression analysis from the Statistical Package for Social Science software.

The findings indicated that there is a significant relationship between loyalty and engagement. AC was found to be more important in affecting employee's engagement when compared with CC.

The study is based on a small number of employees working mostly in one single organization which limits the generalizability of the results; a limitation that does not allow for statistical generalization but allows for analytical generalization.

The study contributes to the literature of OC and more specifically to the relationship between employee loyalty and engagement in the UAE public sector. The outcome of the research draws decision makers’ attention to the importance of employees’ loyalty and its impact on their engagement.

The purpose of this paper is to explore Singaporeans’ view to a multicultural neighbourhood, specifically, their views on the Ethnic Integration Policy (EIP), a housing policy that promotes residential desegregation, and whether this policy has engendered a positive perspective to residential diversity.

A grounded theory approach is used to answer the following research questions: how do Singaporeans feel about residential diversity? Does the EIP influence attitudes to residential segregation in Singapore? What do these attitudes mean for governments and policymakers around the world? The research involved focus group discussions with 27 Housing and Development Board real estate agents, in order to tap onto their vast network of clients and better understand the prevailing sentiments on the ground.

The two major considerations when Singaporeans choose a flat are its price and location. Within the confines of these two factors, however, other considerations like race, nationality and the socio-economic makeup of a neighbourhood will influence their decisions.

These considerations can be condensed into the factors of constrained choice and voluntary segregation. By limiting the impact of voluntary segregation, the EIP can be credited with bridging the racial divide. However, with constrained choice being unaddressed by the policy, the emerging formation of a class divide is an unintended consequence.

Because almost all developed economies are culturally plural, understanding Singapore’s approach to residential desegregation offers insights as to how other countries may learn from the Singapore experience in managing and encouraging multiculturalism, especially since ethnic residential concentration can reduce the formation of strong social relationships.