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Several waste bin sanitation initiatives have been introduced in Ghana to address the surge in indiscriminate solid waste disposal in households. What is not known are the behavior factors that determine the acceptability and use of waste bins. This study aimed to identify the determinants of waste bin acceptability and use in Ghana using the theory of planned behavior (TPB).

Data on waste bin acceptability and usage were collected from 881 households in the Volta and Oti regions of Ghana. The data were analyzed using the partial least squares-structural equation modeling technique in SmartPLS 3 software.

The coefficient of determination (R-squared value) of the original TPB and the extended model explained 39.9 and 44.7% of the variance in waste bin acceptability and use intentions, respectively. The results revealed that attitudes (ß = 0.114, t = 3.322, p < 0.001), subjective norms (ß = 0.306, t = 6.979, p < 0.001) and perceived moral obligation (ß = 0.352, t = 8.062, p < 0.001) significantly predicted household waste bin acceptability and use behavior intentions, but perceived behavioral control (ß = −0.003, t = 0.064, p < 0.949) did not influence behavior intentions significantly.

The study provides valuable insights into the behavioral factors to be prioritized by waste management service providers to improve household waste bin acceptability and usage.

This is one of Ghana's first studies investigating the behavioral determinants of waste bin acceptability and usage.

The years 2011, 2012, and 2013 witnessed both significant developments and setbacks in global polio eradication efforts. On the positive side, January 13, 2012, marked a full year since India had detected a case of wild poliovirus. On the negative side, polio continued to be endemic in three countries-Pakistan, Afghanistan, and Nigeria-and in those countries the goal of eliminating polio seemed more challenging than ever. Between December 2012 and January 2013, sixteen polio workers were killed in Pakistan, and in February 2013, nine women vaccinating children against polio in Kano, Nigeria, were shot dead by gunmen suspected of belonging to a radical Islamist sect. In addition, after a 95 percent decline in polio cases in 2010, the number of cases in Nigeria rebounded in 2011. Recognizing that polio was unlikely to be eliminated in these countries in the near term, the Global Polio Eradication Initiative moved its target date for eradication from 2013 to 2018.

These setbacks sparked a debate about the appropriate strategy for global eradication of polio. Indeed, some experts believed that recent setbacks were not caused by poor management but were instead the result of epidemiological characteristics and preconditions that might render polio eradication unachievable. These experts argued that global health efforts should focus on the control or elimination of polio rather than on the eradication of the disease.

This case presents an overview of polio and the Global Polio Eradication Initiative and recounts the successful effort to eradicate smallpox. The case enables a rich discussion of the current global strategy to eradicate polio, as well as the issue of whether eradication is the appropriate global public health objective. More generally, the case provides a concrete example of a particular type of global public good, namely infectious disease eradication.

After analyzing and discussing the case, students will be able to:

• Understand the nature of a global public good

• Perform a back-of-the-envelope benefit-cost analysis of polio eradication

• Discuss the appropriate strategy for eradicating an infectious disease

• Apply game theory to analyzing which countries would be likely to contribute funds toward global polio eradication

• Discuss the role of private organizations in the provision of global public goods

Understand the nature of a global public good

Perform a back-of-the-envelope benefit-cost analysis of polio eradication

Discuss the appropriate strategy for eradicating an infectious disease

Apply game theory to analyzing which countries would be likely to contribute funds toward global polio eradication

Discuss the role of private organizations in the provision of global public goods

This paper aims to study how buyers' gender and risk proclivity, and the time remaining in an internet auction, influence whether buyers buy at fixed prices or bid.

The study is based on a simulated internet auction. Participants choose between bidding in an auction and buying at a fixed price. Data are analyzed using a logistic regression model. The results from the laboratory study are validated with data from eBay.com.

Female participants’ odds of choosing the buy‐it‐now (BIN) option are higher than their odds of bidding in an auction (BID) when less time is remaining in an auction. Contrarily, for males, when less time is remaining, BID is preferred over BIN. Unexpectedly, when substantial time is remaining, males have greater odds of choosing BIN over BID except when they are high risk‐seekers. Simulation results correspond closely with eBay data.

The paper shows that not only do gender differences manifest themselves in ways that are to be expected, such as females being more risk‐averse than males, but that competitiveness among males may lead to an uncharacteristic choice to buy at fixed prices if substantial time is remaining in an auction. Furthermore, the latent competitive nature of females is revealed by secondary research. Finally, the research validates laboratory results with field data to practice methodological triangulation.

A comparison of determinants of bidding versus buying at fixed prices is missing from the extant literature. The present study fills this gap.

Despite the numerous benefits of adopting international construction joint ventures (ICJVs), effective operation of the joint ventures in Saudi Arabia is impeded by various limitations. Thus, this paper is aimed at determining, analyzing, and prioritizing these major limitations and to propose a strategy that can provide guidance on how best to promote the achievement of efficient joint ventures in international construction in Saudi Arabian construction industry.

Content analysis was augmented by the expert-based assessment process to identify the critical limitations while the interpretive structural modeling (ISM) technique was utilized to analyze and determine the hierarchical structure of the limitations. This is important in order to comprehend and describe the complex relationship between the limitations.

The results identified “selecting unsuitable partner”, “divergent organizational cultures, policies and procedures”, and “poor knowledge of local regulations by foreign partners” as the most critical limitations affecting the efficiency of joint ventures in international construction in Saudi Arabia.

The inclusion of many variables (limitations) increases the complexity of the ISM technique, which compels the researchers to consider reduced number of variables in establishing the ISM structural hierarchy. Other variables that were perceived to be less critical were not included in the development of the ISM structural hierarchy. On the other hand, the structural hierarchy was not validated statistically, and this requires the use of other linear structural relationship techniques like the Structural Equation Modeling to test the validity of the hypothetical ISM structural hierarchy. The proposed strategy to mitigate the limitations presented in this study was not validated, and this requires further study to verify the accuracy of the strategy.

The implications inferred in this study are better performing ICJVs in the execution of mega infrastructure projects in Saudi Arabia. The findings and managerial implications of the study are expected to further provide an invaluable guide that can support policymakers and all key stakeholders to establish efficient strategies and suitable measures that can enhance the successful implementation of ICJVs.

The findings of this study provide comprehensive understanding of the limitations affecting the efficiency of ICJVs in Saudi Arabia. This can assist in mitigating the potential impacts of these limitations and to advocate for the achievement of efficient joint ventures in international construction in Saudi Arabia. Meanwhile, there is a need to further develop a framework that can elucidate on the proposed strategy to promote better performing ICJVs in Saudi Arabia. Also, the further study will seek to investigate the influence of project duration, value, location, or ownership on the performance of the joint ventures in order to generalize the findings to all forms of ICJVs.

The purpose of this study is to apply and extend the predictors within the theory of planned behaviour (TPB) to understand consumers' behaviour toward recycling end-of-life garments among Australian consumers. The predictors explored within this study include attitude, perceived behavioural control, subjective norms, self-identity, general recycling behaviour eco-literacy, self-efficacy, intentions to recycle and behaviour to recycle end-of-life garments.

Data were collected from a sample of consumers across all eight recognised states/territories in Australia through survey questionnaires. A total of 481 usable responses were analysed using structural equation modelling.

Results show positive relationships between the factors explored with all hypotheses supported. The findings of this study have theoretical and managerial implications. They (1) provide an insight into the significant factors that influence consumers' recycling behaviour amongst Australian fashion consumers; (2) bridge the gap in the explanatory nature of TPB by extending this theory; (3) call to develop marketing campaigns to educate consumers on the impact of fashion waste; (4) suggest the need for provision of household textile collection bins at a national level and (5) highlight the need for policy reform on garment recycling enabled by the Australian government.

This study is part of the limited studies that focus on the recycling of consumer fashion waste within the Australian context. Little research has also applied the TPB to end-of-life fashion products with a focus on recycling. In addition, no study to the authors' knowledge has, in combination, explored self-efficacy, self-identity, general recycling behaviour and eco-literacy as predictors of intentions to recycle end-of-life garments.

This study aims to examine the relationship between economic growth and different indicators of air and water pollution in Malaysia. Air pollution indicators were assessed on a number of measures: carbon monoxide, sulphur dioxide (SO), nitrogen dioxide, ozone and particulate matter (PM) while water pollution indicators were evaluating on a number of measures: biochemical oxygen demand, cadmium and arsenic. The income level per capita gross domestic product per capita were measured from the year 1996 to 2006 quarterly. Being different from the study by Hung and Shaw (2004) and Shen (2006), this study estimates population density as an endogenous variable. It formulates a fourequation simultaneous model for empirical research. Testes for exogeneity with the Hausman test and estimates the simultaneity model using the two‐stages least squares method. The Environmental Kuznets Curve (EKC) hypothesis is supported in the cases of SO and PM, and there are several differences found between single polynomial equation estimators commonly used in EKC literatures and simultaneous equation estimators.

The purpose of this study Artificial intelligence (AI) is one of the important emerging trends in information technology and is slowly being implemented in libraries. The researchers have presented a brief strengths, weaknesses, opportunities and threats (SWOT) analysis of the application of AI in Pakistani university libraries.

This study uses an ethnographic approach for data retrieval. Five chief librarians were interviewed by phone, during which they were asked to identify one key strength, weakness, opportunity and threat in terms of introducing AI technologies. The researchers have used a standard SWOT matrix to report the respondents’ comments.

AI is already slowly being introduced into Pakistani university libraries. While commenting on ways in which AI could help their libraries deliver more innovative services and better meet user needs, respondents expressed concern about the investment required in funding, time and staff.

Further study is indicated to identify existing AI implementations in Pakistani university libraries and to assess relevant library users’ perspectives. This study is limited to brief, qualitative data; its main purpose is to validate the use of a SWOT analysis.

Given that AI-based tools are already being used in libraries to some degree regardless of location, now is an opportune time to develop strategies for implementing AI technologies more widely. A SWOT analysis can be used to identify and categorize challenges and risks specific to AI in a logical way to support strategic decision-making.

To date, no SWOT analysis has been conducted in the context of AI applications in libraries, let alone specifically university libraries in Pakistan.

A consistent pattern that emerged out of the consequences of COVID-19 is that public transport was hit particularly hard compared to private cars and other modes. This raises concern regarding the future of public transport and the sustainability of urban transport. While the current clash of challenges, trends and disruptions makes the future more difficult to forecast than ever, this chapter highlights both long-term and emerging trends that are likely to influence public transport beyond the pandemic. As a foundation for the discussion, the chapter first briefly outlines the state and development of public transport before COVID-19, as well as the immediate effects of the pandemic. Before COVID-19, strong trends included initiatives towards sustainable urban transport, digitalisation and automation, and increasingly personalised services. The pandemic induced lockdowns, restrictions to use public transport and anxiety towards crowding, which influenced people to travel less and shift to other modes. There were clear socioeconomic inequalities in the ability to do so and a loss of accessibility. Many agencies and operators suffered financially as a result of lost fare revenues and limited governmental support. Emerging trends such as less commuting and financial struggles are likely to influence public transport for many years to come. However, the pandemic, and the induced behaviour and exposed problems that have followed, can serve as a call for substantial changes in urban transport planning. A continued development and integration of sustainable mobility services, with public transport as a central actor, is widely seen as key in this ambition.

The purpose of this paper is to present a new method for project tracking and control of integrated offsite and onsite activities in modular construction considering practical characteristics associated with this type of construction.

The design embraces building information modelling and integrates last planner system (LPS), linear scheduling method (LSM) and critical chain project management (CCPM) to develop tracking and control procedures for modular construction projects. The developed method accounts for constraints of resources continuity and uncertainties associated with activity duration. Features of proposed method are illustrated in a case example for tracking and control of modular projects.

Comparison between developed schedule and Monte Carlo simulation showed that baseline duration generated from simulation exceeds that produced by developed method by 12% and 10% for schedules with 50% and 90% confidence level, respectively. These percentages decrease based on interventions of members of project team in the LPS sessions. The case example results indicate that project is delayed 5% and experienced cost overrun of 2.5%.

Developed method integrated LPS, LSM and CCPM while using metrics for reliability assessment of linear schedules, namely, critical percent plan complete (PPC_cr) and buffer index (BI). PPC_cr and BI measure percentage of plan completion for critical activities and buffer consumption, respectively. The developed method provides a systematic procedure for forecasting look-ahead schedules using forecasting correction factor Δ_t and a newly developed tracking and control procedure that uses PPC_cr and BI. Quantitative cost analysis is also provided to forecast and monitor project costs to prove the robustness of proposed framework.