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Analyzing factors of delays in construction projects and determining their impact on project performance is necessary to better manage and control projects. Identification of root factors which may lead to project delay and increased cost is vital at the early or planning stage. Better identification of delay factors at the early stage can help the practitioners to reduce their impacts over the long run. Hence, the purpose of this paper is to propose an intelligent method to analyze causal relationships between delay factors in construction projects. The proposed approach is further validated by a real case study of the construction projects in West Azerbaijan province in Iran.

During the first phase, the fuzzy cognitive map (FCM) is drawn to indicate the causal relationships between the delay factors and the evaluation factors. For this purpose, the causal relationships between 20 delay factors and four evaluation factors are considered. Afterward, the effect of each factor on management goals is evaluated by using a hybrid learning algorithm. Delay factors are further prioritized by applying fuzzy data envelopment analysis (FDEA). In the second phase, an interpretive structural modeling (ISM) is employed to determine the root causes of delay factors.

Results of the first phase show that “supervision technical weaknesses for overcoming technical and executive workshop problems” and “Inaccurate estimation of workload, required equipment and project completion time” are the most significant delay factors. In contrary, “non-use of new engineering contracts” has the lowest impact on the management goals. Meanwhile, the results of the second phase conclude that factors like “Inaccurate estimation of workload, required equipment and project completion time” “weakness of laws and regulations related to job responsibilities” and “lack of foreseen of fines and encouragements in the contracts” are the most significant root factors of delay in construction projects.

This paper integrates three methods including FCM method, FDEA and ISM. In the first phase, FCM is drawn according to the experts’ opinions and concerning management goals and delay factors. Later, these factors are prioritized according to the results of running the algorithm and using the FDEA model. The second phase, the seven-step in the ISM methodology, is done to identify the root factors. To ensure that the root factors of the delay are at a lower level of hierarchical structure, delay factors are partitioned by drawing the ISM model.

The purpose of this paper is to examine the effect of green coffee extract on anthropometric index and lipid profile, fasting blood sugar, chemerin and malondialdehyde on subjects with metabolic syndrome.

A randomized, double-blind, placebo-controlled clinical trial was conducted in Sheikh Al Raise Clinic from September 2016 to March 2017. The participants were randomly divided into green coffee group and placebo group. Green coffee group (n = 24) received green coffee extract (GCE), while placebo group (n = 24) took cellulose as a placebo, two capsules (400 mg) two times each day for eight weeks. The anthropometric index and lipid profile, fasting blood sugar, chemerin and malondialdehyde were measured at the beginning of the study and after eight weeks of treatment with GCE. Blood samples were collected before and after eight weeks of supplementation.

Significant weight loss, from 84.80 ± 2.12 kg to 80.94 ± 2.10 kg (ptime = 0.030, pGC = 0.007), as well as decreases in body mass index (ptime = 0.034, pGC = 0.006) were detected in the green coffee group after eight weeks. Also, the green coffee group has significant lower (pgroup = 0.029, ptime = 0.013) malondialdehyde (MDA) compared to the placebo group, and there was a significant difference between two groups at the insulin level and homeostatic model assessment of insulin resistance (HOMA-IR) (ptime = 0.001, pgroup = 0.048), (ptime = 0.012, pgroup = 0.007). However, there was no significant difference in lipid profile, fasting blood sugar and serum chemerin between two groups after eight weeks of supplementation.

This paper showed the statistical difference in body weight, malondialdehyde, insulin and insulin resistance after eight weeks of treatment. GCE might be associated to reduction in the carbohydrate absorption and the enhancement of lipid metabolism.

The purpose of this study is to introduce innovative ideas into the treatment of the radical and incremental innovations and to fill the research gap by using: (1) methods that can perform complicated tasks and solve complex problems leading in creation of radical and incremental innovation and (2) a broad sample of firms across countries. The authors’ ambition is to contribute to the scientific knowledge by producing evidence about the novel usage of artificial neural network techniques for measuring European firms' innovation activities appearing in black boxes of innovation processes.

In this study, the authors incorporate an international context into Chesbrough's open innovation (OI) theory and, on the one hand, support the hypothesis that European radical innovators benefit more from foreign cooperation than incremental innovators. On the other hand, the results of the analyses show that European incremental innovators rely on domestic cooperation supported by cooperation with foreign public research institutes. Moreover, the use of decision trees (DT) allows the authors to reveal specific patterns of successful innovators emerging within the hidden layers of neural networks.

The authors prove that radical European innovators using either internal or external R&D strategies, while the combinations of these strategies do not bring successful innovation outputs. In contrast, European incremental innovators benefit from various internal R&D processes in which engagement in design activities plays a crucial role.

The authors introduce innovative ideas into the treatment of hidden innovation processes and measuring the innovation performance (affected by domestic or international cooperation) of European firms. The approach places emphasis on the novelty of innovation and the issue of international cooperation in the era of OI by designing the framework using a combination of artificial neural networks and DT.

Although organizational citizenship behaviour (OCB) is a concept associated with significant values within the modern workplace, many employees find it challenging to exhibit some necessary extra-role behaviours, such as helping co-workers complete their duties when a situation demands it. Currently, in the South African workspace, fostering OCB among employees is a concern to people practitioners. Specifically, extra-role types of behaviour are declining among professionals as 21st-century technologies promote remote-working policy, leaving employees to work robotically with computers and having no colleagues around to seek or render assistance with their duties. Moreover, professionals are overwhelmed with the timely and endless obligations received frequently and hardly have time and energy for extra-role behaviours. In addition, physical and psychological health-related concerns such as technology stress and career worries are among the contemporary issues affecting human resource (HR) management in this present time. This necessitates more scholarly actions in the niche of OCB, especially identifying and arresting its hindrances. However, a thorough review of the literature on OCB revealed a paucity of scientific reports in the areas of relationships between technostress, career concerns and OCB. Hence, the proposed chapter seeks to bridge the gap in the literature of OCB by theoretically exploring the relationships between technostress, career concerns and OCB in the professional services context in South Africa.

The study presents the push–pull motives and behavioural intentions of youth tourists and how these provide the foundation for the planning and development of Ghana’s tourism future. Since youth tourism (YT) is regarded as a niche market globally, the purpose of this paper is to identify the prospects of this form of tourism in a developing nation.

The study has utilised a convenience sampling approach in gathering data from 557 youth tourists, adapting existing instruments for measuring push–pull motives, satisfaction and behavioural intentions. The reliability and validity of the instruments were established through confirmatory factor analysis, exploratory factor analysis and Cronbach’s α analyses. Structural equation modelling is used to establish relationships.

The results revealed the positive effects of push and pull factors on tourists’ satisfaction as well as the significant influence of tourists’ satisfaction on youth behavioural intentions. However, push factors positively influenced pull factors of youth tourists.

The conclusion and recommendations of this study might not be congruent with the factors that motivate adults or student tourism, satisfaction and behavioural intentions.

The findings of the research validate the viability of YT activities and the behavioural intentions for future tourism market in Ghana. Ghana’s tourism sector should design interesting and competitive offers that attract youth tourists and address tourism growth.

To date, investigation into motives, satisfaction and behavioural intentions of youth tourists as the basis for future tourism development remains a virgin field in Ghana. This study has timely attempted to address this gap.

Diabetes is one of the major healthcare challenges in India. The chronic nature of the disease makes the lifetime cost of the treatment exorbitantly high. The medicine cost contributes a major size of expense in diabetes management. To make healthcare available to poorest of the poor, it is imperative to control the rising cost of diabetes treatment. The earlier research works done in this area focuses more on inventory management techniques to control the cost of healthcare. Less interest is shown in the role of better supply chain partnership (SCP) in reducing the cost of procurement of medicine. The purpose of this paper is to develop and use the SCP assessment framework for a diabetes clinic. The approach is generalized enough to be adopted for other similar organization.

This paper adopts self-assessment criteria of the European Foundation for Quality Management (EFQM) business excellence model for analysis of SCP in the supply chain of a private diabetes clinic in Varanasi. The paper uses analytic hierarchy process (AHP) method for calculation of weights of criteria.

The EFQM-based framework can be adopted as easy-to-use tool to make an objective assessment of the SCP. The proposed model in the study is a balanced model between enablers and results, which includes multiple assessment dimensions. The supply chain performance score of the diabetes clinic under study was found as the Tool Pusher, which means the effort in direction of SCP is not too good. The organization needs to clearly define the SCP goal and analyze the results to identify the gap areas.

The study is first of its kind and contributes to the literature by providing non-prescriptive and easy-to-use SCP assessment framework, for chronic disease care. The case study approach provides a procedure for the healthcare organization willing to adopt this approach.

Attributes of a destination do not only have a positive impact on a person’s selection of the travel destination but also influence the level of tourist satisfaction. In spite of this, the destination attributes related to Muslim tourism are yet to be explored. Moreover, each attribute impacts the satisfaction of tourists in different ways. This study aims to investigate the importance and performance of Islamic attributes in selection of travel destinations by Muslim tourists and to examine the overall tourist satisfaction (SAT) based on the Islamic attributes.

Thailand has been considered as the base for this study. A quantitative research method and convenience sampling technique was used for data collection. Factor analysis was used to determine the importance and performance of Islamic attributes on the choice of travel destinations. Composite delineated factors were applied as indicators in the regression analysis to evaluate the SAT.

The findings reveal five important Islamic attributes: Halal-friendly environment, Halal hotel (IMP2), Halal food (IMP3), Halal food preparation and washroom facilities. However, Muslim tourists were only satisfied with the performance of three Islamic attributes: hotel entertainment and facilities, Halal food and preparation and Halal-oriented recreation and quality services (PER3). This study also reveals that PER3 as well as IMP2 and IMP3 are significant factors for evaluating the tourists’ overall satisfaction.

The Halal tourism market has been growing rapidly. However, research on the satisfaction of Muslim tourists based on the importance and performance of Islamic attributes in non-Muslim countries is limited. Thus, the researcher draws upon the views of Muslim tourists to propose recommendations on the important Islamic attributes and those whose performances are effective. The findings suggest that the SAT is influenced by particular attributes. Additionally, this study fills the research gap on Halal tourism in Thailand and provides useful information regarding the satisfaction of tourists based on Islamic attributes for non-Muslim countries, to help them formulate effective strategies for developing Islamic tourism in their travel destinations.

The purpose of this study is to analyze the nonlinear relationship between electricity consumption (EC) and electricity transmission losses (ETL) in Ghana. Also, we examined how ETL moderate the effect of EC on economic growth in Ghana from 1980 to 2021.

We used timeseries data from 1980 to 2021 within an autoregressive distributed lag framework to analyze the links among ETL, EC and economic growth in Ghana.

Findings show the existence of an asymmetric long-run relationship between EC and ETL. Also, the negative effects of ETL on EC are bigger in the long run. In addition, ETL and EC combine to reduce economic growth, in the long run, providing evidence for the energy-led growth theory in Ghana. Population and inflation were also found to have a significant effect on economic growth in Ghana.

We examined the nonlinear nexus of EC and ETL, which extant studies have ignored in discussing the link between EC and economic growth. Again, we showed that ETL reduces EC causing a reduction in economic growth.

Some of the major concerns since the implementation of smart meters (prepaid meters) in some parts of Ghana is how electricity consumers have benefited from data obtained from these meters by providing important statistics on electricity-saving advice; this is one of the key demand-side management methods for achieving load reduction in residential homes. Appliance shifting techniques have proved to be an effective demand response strategy in load reduction. The purpose of this paper is therefore to help consumers of electricity understand when and how they can shift some appliances from peak to off-peak and vice versa.

The research uses an analysis technique of Richardson et al. (2010). In their survey on time-of-use surveys to determine the usage of electricity in households as far as appliance shifting was concerned, this study allowed for the assessment of how the occupants’ daily activities in households affect residential electricity consumption. Fell et al. (2014) modeled an aggregate of electricity demand using different appliances (n) in the household. The data for the peak time used in this study were identified from 05:00 to 08:00 and 17:00 to 21:00 for testing the load shifting algorithms, and the off-peak times were pecked from 10:00 to 16:00 and 23:00. This study technique used load management considering real-time scheduling for peak levels in the selected homes. The household devices are modeled in terms of controlled parameters. Using this study’s time-triggered loads on refrigerators and air conditioning systems, the findings suggested that peak loads can be reduced to 45% as a means of maintaining the simultaneous quality of service. To minimize peak loads to around 35% or more, Chaiwongsa and Wongwises (2020) have indicated that room air conditioning and refrigerator loads are simpler to move compared to other household appliances such as cooking appliances. Yet in conclusion, this study made a strong case that a decrease in household peak demand for electricity is primarily contingent on improvements in human behavior.

This study has shown that appliance load shifting is a very good way of reducing electrical consumption in residential homes. The comparative performance shows a moderate reduction of 1% in load as was found in the work done by Laicaine (2014). The results, however, indicate that load shifting to a large extent can be achieved by consumer behavioral change. The main response to this study is to advise policymakers in Ghana to develop the appropriate demand response and consumer education towards the general reduction in electrical load in domestic households. The difficulty, however, is how to get the attention of consumer’s on how to start using appliances with less load at peak and also shift some appliances from off-peak times. By increasing consumer knowledge and participation in demand response, it is possible to achieve more efficiency and flexibility in load reduction. The findings were benchmarked with existing comparison studies but may benefit from the potential production of structured references. However, the findings show that load shifting can only be done by modifying consumer actions.

It should be remembered that this study showed that the use of appliances shifting in residential homes results in load reduction benefits for customers, expressed as savings in electricity prices. The next step will be to build on this cost/benefit study to explain and measure how these reductions transform into net consumer gains for all Ghanaian households.

Load shifting will include load controllers in the future, which would automatically handle electricity consumption from various appliances in the home. Based on the device and user needs, the controllers can prioritize loads and appliance usage. The algorithms that underpin automatic load controllers will include knowledge about the behaviors of groups of end users. The results on the time dependency of activities may theoretically inform the algorithms of automatic demand controllers.

This paper addresses an important need for the country in the midst of finding solutions to an unending energy crisis. This paper presents demand response to the Ghanaian electricity consumer as a means to help in the reduction of load in residential homes. This is a novel research as no one has at yet carried out any research in this direction in Ghana. This paper has some new information to offer in the field of demand in household electricity consumption.

The current research aims to map and investigate how human resource management and lean practices can be integrated. This investigation will help identify the HRM aspects critical in the success of lean initiatives while exploring the research gaps in the existing literature. The review also aims to delineate the benefits and challenges of integrating lean with HRM systems to discuss further research and practice areas.

This study utilizes a systematic literature review method to identify and synthesize the existing literature. As part of the process, a protocol that provided a plan for the review was followed, including the research questions and the data to be extracted.

The study results indicate that aspects of HRM practice and policies such as training and development, teamwork, motivation, communication, leadership, are key enablers of lean initiative deployment and success. The benefits of the integration of human resources with lean can help in lean training and development, communication of lean initiatives and successes, allocating and hiring continuous improvement personnel, and supporting leadership in lean deployment. Challenges to integrating lean and HRM practices included lack of integration and collaboration between disciplines. Further exploration areas in successful lean deployment would be practical longitudinal case studies on lean deployments with human resource (HR) partnerships and involvement.

This review paper has crucial implications for practice relating to, integration of lean with HRM structures and tailoring HRM initiatives to ensure the success of lean deployment and reduce risks of failure.

The systematic literature review study conducted in this paper is the first of its kind to integrate and map the HRM concepts that can be integrated with Lean to deploy the initiative successfully. This mapping is critical for ensuring the success of lean methodologies within an organization and paves the way for future research. In addition, managers and organizations can find support and guidance from this study to focus on vital areas of partnership between their lean and HR programs.