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Scaling up smart city infrastructure projects will require a large financial investment. Using public–private partnerships is one of the most effective ways to address budget constraints. Numerous factors have varying degrees of influence on the performance of Public private partnerships (PPP) projects; certain PPP factors are more crucial to the success of a smart city infrastructure project than others, and their influence can be greatly increased when they are fulfilled collectively. This study aims to find out what factors are unique to smart city PPP initiatives, as well as how these factors work together, so that successful smart city infrastructure PPP projects can be scaled up.

The methodology included three sequential stages: identifying the critical success factors (CSF) of PPP for smart cities based on an extensive literature review, collecting data from a sample of 90 PPP practitioners using a Likert scale questionnaire and estimating interrelationships among the CSF and their emergent clusters using structural equation modelling.

The best fit model developed in this study demonstrated the significance of each factor and their interrelationships within their categories in enhancing the performance of PPPs in smart city infrastructure projects. Five categories of critical success factors for PPPs in smart city infrastructure projects have been established: partnership and collaboration; financial sustainability; contractual duties and outsourcing; smart integration; and contract governance.

The proposed model represented the causal interrelationships among relevant critical success factors derived from literature, which may help in directing the organization’s attention and resources to more critical areas, leading to the effective fulfilment of the smart city infrastructure project’s objectives. In addition to the theoretical and methodological contributions, this study produced a usable and readily adaptable list and clusters of critical success factors for research in the area of the implementation of PPP in smart city infrastructure projects.

To the best of the authors’ knowledge, this is the first study to identify PPP critical success factors and their themed clusters for smart city infrastructure projects.

This chapter focusses on analysing the origins and evolution of the SWOT analysis. It explains the drivers and limitations of the conventional SWOT analysis, laying the groundwork for new decision-making models that can aid researchers and practitioners in comprehending both the external landscape and the internal characteristics of a company. This chapter demonstrates how the strengths, weaknesses, opportunities, and threats of the SWOT analysis can be approached dynamically. Conventional SWOT analysis offers only a limited perspective on the environment and employs terminology that can confuse users, hindering their clear understanding of the factors that influence an organisation’s situation. This chapter provides a concise literature review of tools for evaluating quality management, its resources, and the surrounding environment, which serves as a valuable means to grasp the economic and social context within which a firm operates.

The aim of this study is o examine the advantages and disadvantages of different existing scoring systems in the cybersecurity domain and their applicability to the AEC industry and to systematically apply a scoring system to determine scores for some of the most significant construction participants.

This study proposes a methodology that uses the Common Vulnerability Scoring System (CVSS) to calculate scores and the likelihood of occurrence based on communication frequencies to ultimately determine risk categories for different paths in a construction network. As a proof of concept, the proposed methodology is implemented in a construction network from a real project found in the literature.

Results show that the proposed methodology could provide valuable information to assist project participants to assess the overall cybersecurity vulnerability of construction and assist during the vulnerability-management processes. For example, a project owner can use this information to get a better understanding of what to do to limit its vulnerability, which will lead to the overall improvement of the security of the construction network.

It has to be noted that the scoring systems, the scores and categories adopted in the study need not necessarily be an exact representation of all the construction participants or networks. Therefore, caution should be exercised to avoid generalizing the results of this study.

The proposed methodology can provide valuable information and assist project participants to assess the overall cyber-vulnerability of construction projects and support the vulnerability-management processes. For example, a project owner can use this approach to get a better understanding of what to do to limit its cyber-vulnerability exposure, which will ultimately lead to the overall improvement of the construction network's security. This study will also help raise more awareness about the cybersecurity implications of the digitalization and automation of the AEC industry among practitioners and construction researchers.

Given the amount of digitized services and tools used in the AEC industry, cybersecurity is increasingly becoming critical for society in general. In some cases, (e.g. critical infrastructure) incidents could have significant economic and societal or public safety implications. Therefore, proper consideration and action from the AEC research community and industry are needed.

To the authors' knowledge, this is the first attempt to measure and assess the cybersecurity of individual participants and the construction network as a whole by using the Common Vulnerability Scoring System.

To report on the lessons learned during the implementation of TQM principles in Air China as a response to the dramatic changes in both international and domestic markets.

This research work is based on analysing secondary case studies in the airline industry to identify best practice and critical success factors of total quality management implementation. The use of SWOT analysis was selected in the case of Air China.

Air China is the largest air carrier in China in terms of traffic volume and company assets. It own most updated fleet and competent repairs and maintenances expertise. It owns good reputation in both international and domestic market, quality service and keeps the number of loyal frequent flyers rapidly increasing. Distracted by domestic operations in term of resources, organizational concentrations and management time, the international business get to be mediocre. China airline industry is growing faster than GDP increase, and the trend will continue in next five years. Air China faces imminent aggressive competition from world leading airlines and price wars triggered by domestic player, when Civil Aviation Administration of China has to deregulate under requirement of WTO agreements.

This paper is a case study reporting of the strengths, weaknesses, opportunities and threat analysis technique. The paper provides empirical data to identify those factors that play key role in implementing TQM successfully within the Airlines Industry and in particular Air China.

Reasonable risk sharing is the key to the smooth implementation of infrastructure public-private partnership (PPP) projects and the optimization of benefit distribution among the participants. This study aims to explore the risk redistribution ratio between the government and the private sector under different degree of fairness concern.

Renegotiation is a mechanism to provide flexibility and make up for incompleteness of PPP contracts. However, the threshold value of risk redistribution ratio and negotiation cost are not explicitly considered in previous studies. In addition, these studies do not consider the influence of the fairness concern psychology on the negotiation process. To address these gaps, based on risk-income equilibrium analysis, this paper established the bargaining optimization model of PPP projects renegotiation considering the fairness concerns of the negotiating parties. Furthermore, this study analyzed the influence of fairness concern degree on negotiation thresholds, negotiation results, and negotiation incomes under three scenarios.

The results showed that excessive focus on the fairness of incomes may exclude the risk redistribution ratio that is most beneficial to project incomes from the negotiation threshold. Moreover, the increase in the fairness concerns of negotiating parties can reduce the negotiation success period, but the net income may not necessarily be improved.

The main contribution of this paper is to propose a new risk renegotiation methodology based on the risk-income equilibrium analysis, which is helpful to develop risk management strategies in the construction field. The research results can provide government with reference about renegotiation in decision making and provide theoretical support for the practice of PPP renegotiation.

Islam plays a powerful symbolic and cultural role in the constitution of consumer preferences, especially in Muslim countries. To quantitatively study this role in the consumption patterns of Muslim consumers we need a suitable scale for religiosity. However, the existing scales of religiosity have been developed primarily for Christian/Jewish respondents and cannot provide valid results for Muslim consumers. This study aims to address these challenges by re-conceptualizing the religiosity construct for Muslims and conducting an exploratory study to generate an initial scale.

This paper initialized the scale development exercise with a systematic review of the existing Islamic literature to ensure that we use Islamic categories to build the scale. Once the authors had a large pool of items, they consulted experts on Shariah (Islamic law) to evaluate these items for clarity, face and content validity. Next, they conducted five focus groups to (a) determine if they had covered the full terrain of Muslim religiosity; (b) identify if the items correspond with the actual experiences of the target respondents; and (c) ensure linguistic compatibility. This was followed by administering an exploratory survey designed to test psychometric properties of the new scale and to analyze the underlying dimensionality of the inventory of items.

To extract a manageable number of latent dimensions in the survey data, an exploratory factor analysis (EFA) procedure was conducted. This resulted in the extraction of five different factors which were named as Mu’amalat_societal ethics, Roshan Khayali (enlightened moderation), Ibadaat (prayers), Mu’amalat_societal laws, Azeemat (a state exhibiting scrupulous faithfulness) and Mu’amalat_business dealings. There is a divide between Ibadaat (individual and collective worship) and Muamlaat (social relations) that emerged in the data from the cluster analysis procedure.

Religion can be an important part of decision-making of a typical consumer. This paper proposes a new scale for Muslims to tap into their religiosity, as existing scales are not embedded in the Islamic literature. This study also distinguishes Muslim religiosity from its Western counterpart and thus helps in clarifying the Muslim religiosity construct.

Digital transformation (DT) innovation is a monumental contribution that has had a profound effect on several worldwide industries. The aim of this research is to evaluate the current and future trends in DT specifically focusing in construction industry.

This study adopts a qualitative analysis approach grounded on descriptive and bibliometric analyses. In total, 283 papers from Scopus between January 2015 and April 2023 were retrieved in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) review methodology. This study examines the publishing trends, most productive nation, university, publications and authors. Keyword co-occurrence analysis and thematic evolution were analyzed through Vosviewer and Biblioshiny.

The results illustrate a growing desire to use digital technologies in the construction industry, which shows the topic's power and expanding popularity. This research reveals various emerging themes based on technology usage in construction sector. Out of 14 themes, occupational health and safety, mass customization, virtual reality and artificial intelligence were identified as isolated themes. Further, this study elaborates the difficulties encountered by the construction industry while employing digital technologies and examines the interrelationships among various keywords in DT and reveals the paradoxes and hotspots.

This research adds to the body of literature as it identifies the research areas and gaps in the existing DT domain in construction industry. The integration of technology in this sector has an intense positive future vision as various subareas have immense potential for technology application.

Emotions, understood as evolving mental states, are pivotal in shaping individuals“' decision-making, especially in ambiguous information evaluation, probability estimation of events, and causality analysis. Public–private partnership (PPP) projects represent a confluence of “economic–environmental–social” dimensions, wherein stakeholder behavior follows the sequential progression of “cognition–emotion–action.” Consequently, comprehending the effects of emotional shifts on stakeholder's decision-making processes is vital to fostering the sustainability of PPP projects.

The paper utilizes rank-dependent expected utility and evolutionary game theory to systematically examine the influence of emotional factors on stakeholders' behavior and decision-making processes within PPP projects. The paper integrates three emotional state functions—optimism, pessimism and rationality—into the PPP framework, highlighting the intricate interactions among the government, private sector, surrounding public and the media. Furthermore, the paper amalgamates the evolutionary pathways of environmental rights incidents with the media's role. Through equilibrium analysis and numerical simulation, the paper delves into the diverse interplay of emotions across different phases of the environmental rights incident, assessing the impact of these emotions on the evolutionary game's equilibrium results.

Emotions significantly influence the microlevel decisions of PPP stakeholders, adapting continually based on event dynamics and media influences. When the private sector demonstrates optimism and the surrounding public leans toward rationality or pessimism, the likelihood of the private sector engaging in speculative behavior escalates, while the surrounding public refrains from adopting a supervisory strategy. Conversely, when the private sector is pessimistic and the public is optimistic, the system fails to evolve a stable strategy. However, when government regulation intensifies, the private sector opts for a nonspeculative strategy, and the surrounding public adopts a supervisory strategy. Under these conditions, the system attains a relatively optimal state of equilibrium.

The paper develops a game model to examine the evolutionary dynamics between the surrounding public and private sectors concerning environmental rights protection in waste incineration PPP projects. It illuminates the nature of the conflicting interests among project participants, delves into the impact of emotional factors on their decision-making processes and offers crucial perspectives for the governance of such partnerships. Furthermore, this paper provides substantive recommendations for emotional oversight to enhance governance efficacy.

The purpose of this paper is to investigate the impact of religiosity on consumer attitudes and purchase intentions toward Islamic banks.

The study takes place in the Tunisian context. Even though Tunisia is a Muslim country, the culture is considerably different from those of the Middle East or Malaysia (countries where the majority of studies on Islamic banks have taken place). Consequently, an adapted religiosity scale was developed to fit the study’s context. Then, the scale was pre-tested on a sample of 188 respondents. In order to test the research hypotheses, a second data collection, based on a convenience sampling technique, was undertaken, yielding a sample of 217 respondents.

The religiosity variable was found to be tridimensional. Results show that the more a person fears divine punishment, the more he/she will develop a favorable attitude towards Islamic banks. Also, the more a person believes in Islamic laws, the more favorable his/her attitude towards Islamic banks. However, the relationship between religious involvement (practice and interest) and attitude toward Islamic banks is found to be insignificant. Other alternative models were tested and the results indicate that neither fear, nor beliefs, nor religious involvement has a direct effect on purchase intention. Thus, religiosity has an indirect effect on purchase intentions of Islamic bank services through attitude towards these banks.

It is suggested that a communication strategy focusing on the compatibility of Islamic banks with Islamic beliefs and eliminating any doubt that Islamic bank operations are suspicious (from a religious point of view) could attract a segment of consumers who wish to be in harmony with the prescriptions of their religion. Islamic banks can better position their offers compared to conventional banks and improve the perception of actual or potential clients. The study offers some implications to managers of conventional banks as well.

Previous studies have reported the strong impact of religion on Muslims’ attitude towards Islamic banks. The main contribution of this study is to show which dimension of religiosity has the most important impact on attitude and purchase intention toward Islamic banks.