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Public-private partnership (PPP) projects for construction waste recycling have become the main approach to construction waste treatment in China. Risk sharing and income distribution of PPP projects play a vital role in achieving project success. This paper is aimed at building a practical and effective risk sharing and income distribution model to achieve win–win situation among different stakeholders, thereby providing a systematic framework for governments to promote construction waste recycling.

Stakeholders of construction waste recycling PPP projects were reclassified according to the stakeholder theory. Best-worst multi–criteria decision-making method and comprehensive fuzzy evaluation method (BWM–FCE) risk assessment model was constructed to optimize the risk assessment of core stakeholders in construction waste recycling PPP projects. Based on the proposed risk evaluation model for construction waste recycling PPP projects, the Shapley value income distribution model was modified in combination with capital investment, contribution and project participation to obtain a more equitable and reasonable income distribution system.

The income distribution model showed that PPP Project Companies gained more transaction benefits, which proved that PPP Project Companies played an important role in the actual operation of PPP projects. The policy change risk, investment and financing risk and income risk were the most important risks and key factors for project success. Therefore, it is of great significance to strengthen the management of PPP Project Companies, and in the process of PPP implementation, the government should focus on preventing the risk of policy changes, investment and financing risks and income risks.

The findings from this study have advanced the application methods of risk sharing and income distribution for PPP projects and further improved PPP project-related theories. It helps to promote and rationalize fairness in construction waste recycling PPP projects and to achieve mutual benefits and win–win situation in risk sharing. It has also provided a reference for resource management of construction waste and laid a solid foundation for long-term development of construction waste resources.

PPP mode is an effective tool for construction waste recycling. How to allocate risks and distribute benefits has become the most important issue of waste recycling PPP projects, and also the key to project success. The originality of this study resides in its provision of a holistic approach of risk allocation and benefit distribution on construction waste PPP projects in China as a developing country. Accordingly, this study adds its value by promoting resource development of construction waste, extending an innovative risk allocation and benefit distribution method in PPP projects, and providing a valuable reference for policymakers and private investors who are planning to invest in PPP projects in China.

In the process of building the “Belt and Road” and “Bright Road” community of interests between China and Kazakhstan, this paper proposes the construction of an inland nuclear power plant in Kazakhstan. Considering the uncertainty of investment in nuclear power generation, the authors propose the MGT (Monte-Carlo and Gaussian Radial Basis with Tensor factorization) utility evaluation model to evaluate the risk of investment in nuclear power in Kazakhstan and provide a relevant reference for decision making on inland nuclear investment in Kazakhstan.

Based on real options portfolio combined with a weighted utility function, this study takes into account the uncertainties associated with nuclear power investments through a minimum variance Monte Carlo approach, proposes a noise-enhancing process combined with geometric Brownian motion in solving complex conditions, and incorporates a measure of investment flexibility and strategic value in the investment, and then uses a deep noise reduction encoder to learn the initial values for potential features of cost and investment effectiveness. A Gaussian radial basis function used to construct a weighted utility function for each uncertainty, generate a minimization of the objective function for the tensor decomposition, and then optimize the objective loss function for the tensor decomposition, find the corresponding weights, and perform noise reduction to generalize the nonlinear problem to evaluate the effectiveness of nuclear power investment. Finally, the two dimensions of cost and risk (estimation of investment value and measurement of investment risk) are applied and simulated through actual data in Kazakhstan.

The authors assess the core indicators of Kazakhstan's nuclear power plants throughout their construction and operating cycles, based on data relating to a cluster of nuclear power plants of 10 different technologies. The authors compared it with several popular methods for evaluating the benefits of nuclear power generation and conducted subsequent sensitivity analyses of key indicators. Experimental results on the dataset show that the MGT method outperforms the other four methods and that changes in nuclear investment returns are more sensitive to changes in costs while operating cash flows from nuclear power are certainly an effective way to drive investment reform in inland nuclear power generation in Kazakhstan at current levels of investment costs.

Future research could consider exploring other excellent methods to improve the accuracy of the investment prediction further using sparseness and noise interference. Also consider collecting some expert advice and providing more appropriate specific suggestions, which will facilitate the application in practice.

The Novel Coronavirus epidemic has plunged the global economy into a deep recession, the tension between China and the US has made the energy cooperation road unusually tortuous, Kazakhstan in Central Asia has natural geographical and resource advantages, so China–Kazakhstan energy cooperation as a new era of opportunity, providing a strong guarantee for China's political and economic stability. The basic idea of building large-scale nuclear power plants in Balkhash and Aktau is put forward, considering the development strategy of building Kazakhstan into a regional international energy base. This work will be a good inspiration for the investment of nuclear generation.

This study solves the problem of increasing noise by combining Monte Carlo simulation with geometric Brownian motion under complex conditions, adds the measure of investment flexibility and strategic value, constructs the utility function of noise reduction weight based on Gaussian radial basis function and extends the nonlinear problem to the evaluation of nuclear power investment benefit.

This paper aims to explore the risk and benefit perceptions influencing beer patrons’ purchase and consumption decisions in India. It delves into the drivers behind consumers’ consumption patterns and attitudes towards beer, which subsequently impact their behavioural intentions, including word-of-mouth recommendations and repurchase intentions.

The study uses a structured questionnaire to collect data from 306 beer patrons in Delhi and the National Capital Region. Through exploratory factor analysis and structural equation modelling, the research examines the risk (5) and benefit (3) factors associated with beer consumption using a factor model consisting of 29 constructs. A conceptual framework illustrates the interrelationships between variables, which are subsequently validated empirically.

The findings reveal that patrons’ attitudes towards beer are influenced by their perceptions of risk and benefit. Specifically, health and socio-psychological risks are identified as the most significant and negatively impacting factors on patrons’ attitudes. Factorial analysis demonstrates that patrons’ attitudes towards beer are positively influenced by their perception of benefits such as value for money, sensory appeal and convenience. Furthermore, the study highlights that an increase in benefit perception or a decrease in risk perception leads to a favourable shift in patrons’ attitudes towards beer.

To the best of the authors’ knowledge, this study will be the first to investigate how beer consumers’ consumption patterns and purchase decisions are impacted by assessing consumer risk and benefit perceptions. This study will also aid stakeholders in tailoring their beer offerings better to meet the desires and requirements of their customers.

Noting the scarcity of complexity techniques applied to modelling social systems, this paper attempts to formulate a conceptual model of decision‐making behaviour within the information systems evaluation (ISE) task, against the backdrop of complexity theory.

Complexity theory places an emphasis on addressing how dynamic non‐linear systems can be represented and modelled utilising computational tools and techniques to draw out inherent system dynamics. In doing so, the use of fuzzy cognitive mapping (FCM) and morphological analysis (MA) (hence a fuzzy‐morphological approach), is applied to empirical case study data, to elucidate the inherent behavioural and systems issues involved in ISE decision making within a British manufacturing organisation.

The paper presents results of applying a combined FCM and MA approach to modelling complexity within management decision making in the ISE task: both in terms of a cognitive map of the key decision criteria; a matrix of constraint criteria; and a synthesised model that provides an indication of the linkages between technology management factors and organisational imperatives and goals. These findings show the usefulness of viewing the topic in complexity science terms (emergent behaviour, non‐linearity and chaotic response).

This research is limited in applying the given technique to a single case study organisation in the UK manufacturing sector, where the sample size is limited. Since this is the first time that such a combined MA‐FCM technique has been used in this field known to the authors, future research needs to validate and explore the implications of this approach in a wider context (multiple organisations and viewpoints).

The paper highlights the need for those involved in analysing managerial decision making to include aspects of complexity theory in their evaluations – namely uncovering inherent inter‐relationships that may exist between stakeholders, processes and systems. In doing so, expanding the manager's understanding of how to achieve congruence between driving forces and factors, which may exhibit non‐linear, chaotic or feedback behaviour.

The given research brings together both artificial intelligence and operational research techniques, applied in the socio‐technical milieu of information systems evaluation, within the context of complexity theory, in order to describe the rich detail within the ISE decision‐making task.

This study seeks to address the question on the role of information-seeking behavior in dealing with uncertainty on workplace health disclosure from the perspectives of internal communication.

An online survey was conducted with 409 full-time employees in large-sized companies in the United States.

The results showed that employees engage in proactive and passive information-seeking strategies when they are uncertain about their supervisors' reactions toward their health problems. Positive EOR and organizational climate would increase their intention to adopt inquiry strategy, whereas negative EOR and the climate would increase their intention to adopt monitoring strategy. Employees who adopt inquiry strategy tend to perceive the benefits of health disclosure, whereas those who adopt monitoring strategy tend to perceive the risks of health disclosure. If employees perceived increased benefits in terms of health disclosure, then they tend to disclose their health problems to their supervisors, and vice versa.

This study is among first to investigate workplace health disclosure decision-making from the perspectives of internal communication. These findings highlight the importance of excellent internal communications in employees' health disclosure decision-making process and support the proposition that proactive information-seeking is a strategy that contributes to uncertainty management in the workplace. This study also provides significant practical guidelines for corporate communication practitioners and leaders by establishing a safe and friendly environment where employees feel comfortable to disclose their health problems to supervisors.

To gain an understanding of the benefits, bridges, and barriers associated with supply chain collaboration.

Insights from extensive field research of a successful collaboration example in the Turkish dyeing and finishing industry.

The competition among firms is increasingly shifting from company vs company to supply chain vs supply chain. The insights obtained from the collaborative model in this textile supply chain provide a good understanding of the benefits, bridges, and barriers associated with supply chain collaboration. Benefits can be grouped as customer‐oriented benefits, productivity benefits, and innovation related benefits. Factors supporting collaboration are observed as trust, common goals for cooperation, and existence of cooperation mechanisms, while barriers are related to three factors: lack of trust, risk‐benefit evaluation, and lack of common goals for cooperation.

Findings are based on interviews and questionnaires conducted with the managers of 3T, 30 dyeing and finishing firms (ten are partners) and six technology‐supplying partner firms, from various regions in Turkey.

Highlights the importance of trust and collaboration mechanisms in managing collaborations. As the case of 3T in the dyeing and finishing industry shows, collaborations might significantly contribute to the competitiveness of textile firms.

This paper presents a successful collaboration model in creating new technologies and products by bringing the resources of competing partners together. This collaboration might be a tool for firms in developing countries to become competitive in their respective industries at the global level.

Since the 1960s, interconnection technology has been dominated by implementations of printed circuit board (PCB) technology. However, in response to the ever increasing demand for higher routing densities and improved electrical performance, this technology has been increasingly challenged by multichip module (MCM) technology and in particular the MCM‐L type. MCM‐L technology is a laminate construction and is basically a further development of PCB technology with two or more bare chips and fine line interconnects. Consequently, it is perceived that the current PCB fabricators are ideally positioned to take the initiative with MCM‐L technology. Reviews the current state of PCB industry and MCM‐L technological (process and material) requirements, within the UK, such that a comparison can be made between the two technologies. Planning, training and investment requirements for new technology implementation are then identified and compared with PCB fabricators’ technological, training, planning and investment capabilities. The shortfalls between MCM‐L fabrication requirements and PCB fabricators capability are identified and discussed.

This paper examines beliefs and attitudes in the context of how they influence the decisions of university Human Research Ethics Committees (HRECs) as a preface to undertaking an empirical study in this area. It also aims at establishing a conceptual framework to guide the design of a questionnaire targeting beliefs about research ethics and the implications of these beliefs on review practices of HREC members throughout Australia.

Using content analysis of the extant body of the literature the paper examines the relationship between the concepts of beliefs and knowledge, beliefs and attitudes, and among beliefs, attitudes and behaviour in the context of research ethics.

The discussion suggests that ethics approval practices can, at times, be influenced more by personal beliefs than by contemporary review standards. It is also suggested that personal beliefs can be transmitted through the review process and that HRECs can serve to influence the transfer of values from reviewers to researchers.

The framework that this paper presents has the potential to appraise an array of perspectives which in turn would guide the design of professional development programs. In addition, an improved, more nuanced understanding of how HREC members make ethical decisions will positively impact and inform best practice in the review of ethical applications for research projects.

The paper presents a novel theoretical framework underpinning research ethics reviewer beliefs and attitudes within a contemporary context.

This study aims to investigate the various systems in logistics industry of Pakistan through the lens of the World Bank's logistics performance indicators (LPI) and understand their impact on the China–Pakistan economic corridor (CPEC) that is a vital part of China's belt and road initiative (BRI).

In this study thematic analysis was performed on twenty-three semi-structured interviews with experts in Pakistan's logistics and supply chain sector to gain an in-depth insight into the logistics performance relative to CPEC.

A performance gap exists in the logistics systems in Pakistan, both for hard and soft infrastructure. The significant challenges are the inefficiencies of the government, minimal use of information and computing technology (ICT), and an incapable workforce. It is essential to be cognizant of the ground realities and amendments required in the existing policies and practices in light of the challenges faced and best practices adopted by developed and developing countries with good standing in logistics performance. This study will guide policymakers and practitioners for hard and soft logistics infrastructure improvement, which may benefit economic corridors in general and CPEC in particular.

This study contributes to the existing literature by highlighting the role of ICT in improving both soft and hard logistics infrastructure, which can lead to significant development of economic corridors. The study makes use of a case study of the CPEC to demonstrate the lack of ICT can hamper the growth of an economic corridor despite billions of dollars of investment in the hard infrastructure development projects.