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This study investigates the effect of user fees on access and waiting time in Nigeria. For access, the effect of user fees on both preventive and curative care; and the effect of user fees on waiting time at public healthcare facilities were examined. User fees are vital for the fiscal sustainability of healthcare provision for most African economies. Its imposition could debar healthcare access by the poor while its removal can reduce quality of care and induce longer waiting time.

The wave 3 of the Nigerian General Household Survey (2015/16) data was used for users of public health facilities. Access to healthcare was modelled using utilization data in a logistic regression model while waiting time was through the Negative Binomial Regression Model (NBRM).

The analyses showed significant effects of user fees on access to both preventive and curative care and on time spent waiting to make use of healthcare services. Individuals were able to access healthcare services regardless of amounts paid. Also, there was a non-negative effect of user fee imposition on waiting time.

Nigeria should improve healthcare facilities to address the enormous demand for healthcare services when designing policy for health sector.

This paper shows that even with the imposition of user fees, healthcare facilities could still not cater for the rising healthcare needs of the populace but cautioned that its abolition may not be a preferred option.

The purpose of this paper is to assess causal relations between the implementation of the 5S approach and the reduction of patients’ waiting time at out patient departments (OPDs) of hospitals in Tanzania.

Patients’ waiting time was measured under the cluster randomized control trial (c-RCT). In all, 16 hospitals were chosen and divided into treatment and control groups using block randomization. Before the intervention, a baseline study was conducted at OPDs in all 16 hospitals. After one year of the intervention, the end-line study was carried out in both the groups. A comparison of the average waiting time reduction and Difference-in-Difference (DID) analysis was carried out to see the effect of the 5S approach on the reduction of patients’ waiting time.

Statistical significance in reduction of patients’ waiting time was seen in the medical records sections (p=0.002) and consultation rooms (p=0.020) in the intervention group. The same trend was also seen using DID analysis (−15.66 min in medical record, −41.90 min in consultation rooms).

This study has the following limitations in terms of the data. The data were collected for only three days at the time of baseline survey, and again for three days at the time of the end-line survey from 16 hospitals. Moreover, piloted areas for the implementation of the 5S approach vary from hospital to hospital. There might be a bias in the measurement of a patient’s waiting time. Caveats are therefore needed in extrapolating the study results to other settings. Despite these caveats, the findings will provide important insights for implementing quality improvement programs in Tanzania and in other African countries for improvement of time factors.

This study used c-RCT, and has proven the effectiveness of the 5S approach in improving the working environment and reducing patients’ waiting time at OPDs in several hospitals at district level in Tanzania.

This study aims to analyze the influence of farmers’ degree of participation in collective action on their adoption decisions and waiting time regarding soil and water conservation (SWC) measures.

The Probit model and Generalized Propensity Score Match method are used to assess the effect of the degree of participation in collective action on farmers’ adoption decisions and waiting time for implementing SWC measures.

The findings reveal that farmers’ engagement in collective action positively influences the decision-making process regarding terrace construction, water-saving irrigation and afforestation measures. However, it does not significantly impact the decision-making process for plastic film and ridge-furrow tillage practices. Notably, collective action has the strongest influence on farmers’ adoption decisions regarding water-saving irrigation technology, with a relatively smaller influence on the adoption of afforestation and terrace measures. Moreover, the results suggest that participating in collective action effectively reduces the waiting time for terrace construction and expedites the adoption of afforestation and water-saving irrigation technology. Specifically, collective action has a significantly negative effect on the waiting time for terrace construction, followed by water-saving irrigation technology and afforestation measures.

The results of this study underscore the significance of fostering mutual assistance and cooperation mechanisms among farmers, as they can pave the way for raising funds and labor, cultivating elite farmers, attracting skilled labor to rural areas, enhancing the adoption rate and expediting the implementation of terraces, water-saving irrigation technology and afforestation measures.

Drawing on an evaluation of farmers’ degree of participation in collective action, this paper investigates the effect of participation on their SWC adoption decisions and waiting times, thereby offering theoretical and practical insights into soil erosion control in the Loess Plateau.

Waiting is associated with pain and stress that leads to frustration. However, consumer narratives may help cope with the stress associated with such waiting. This study aims to understand consumer waiting behaviours within online communities.

Data was gathered following a netnographic approach from a Facebook brand community (FBC) by downloading and archiving the threads related to members’ waiting behaviours. This resulted in 91 pages of data, with 438 individual comments and 179 distinct threads.

The data revealed that members of the sampled FBC exercised waiting behaviour. The authors confirm that waiting for a product is associated with both negative outcomes (frustration, boredom, etc.), but positive ones (create stronger ties with the brand and fellow members, etc.). Members of the FBC exhibited reduced consumer anxiety and stress during the waiting period.

This study found 13 waiting behaviours within the FBC and supports the idea that new value-creating behaviours are noticed within the context of FBCs.

This study focuses on waiting within a goods-based context (waiting to be served has been examined predominantly within the service sector). The study explored the behaviours of consumers who use social media to complain about extended waiting periods to receive the product along with other consumer reactions to these waiting crowds to reduce the emotional pain associated with such delays.

La espera se asocia con el dolor y el estrés, lo que lleva a la frustración. Sin embargo, el relato de otros consumidores puede ayudar a hacer frente al estrés asociado a dicha espera. Este trabajo busca entender el comportamiento de espera de los consumidores dentro de las comunidades online.

Los datos fueron recopilados siguiendo un enfoque netnográfico de una comunidad de marca en Facebook (CMF) mediante la descarga de mensajes; sólo los hilos relacionados con los comportamientos de espera de los miembros fueron descargados y archivados. Esto resultó en 91 páginas de datos con 438 comentarios individuales y 179 hilos distintos.

Los datos revelan que en Facebook se dan comportamientos de espera. Confirmamos que la espera de un producto no sólo está asociada a resultados negativos (frustración, aburrimiento, etc.), sino también a resultados positivos (crear lazos más fuertes con la marca y los compañeros). Además, se comprueba que los miembros de la CMF reducen la ansiedad y el estrés del consumidor durante el período de espera.

Este trabajo encuentra 13 comportamientos de espera dentro de una CMF

Este trabajo se centra en la espera dentro del contexto basado en los bienes (la espera para ser atendido ha sido examinada principalmente dentro del sector de servicios). Además, no sólo nos centramos en los consumidores que utilizan los medios sociales para quejarse de una espera más larga en la recepción del producto, sino también en la reacción de otros consumidores a estas esperas para reducir el dolor emocional asociado a dicho retraso.

The interruption event will seriously affect the normal operation of urban rail transit lines,causing a large number of passengers to be stranded in the station and even making the train stranded in the interval between stations. This study aims to reduce the impact of interrupt events and improve service levels.

To address this issue, this paper considers the constraints of train operation safety, capacity and dynamic passenger flow demand. It proposes a method for adjusting small loops during interruption events and constructs a train operation adjustment model with the objective of minimizing the total passenger waiting time. This model enables the rapid development of train operation plans in interruption scenarios, coordinating train scheduling and line resources to minimize passenger travel time and mitigate the impact of interruptions. Regarding the proposed train operation adjustment model, an improved genetic algorithm (GA) is designed to solve it.

The model and algorithm are applied to a case study of interruption events on Beijing Subway Line 5. The results indicate that after solving the constructed model, the train departure intervals can be maintained between 1.5 min and 3 min. This ensures both the safety of train operations on the line and a good match with passengers’ travel demands, effectively reducing the total passenger waiting time and improving the service level of the urban rail transit system during interruptions. Compared to the GA algorithm, the algorithm proposed in this paper demonstrates faster convergence speed and better computational results.

This study explicitly outlines the adjustment method of using short-turn operation during operational interruptions, with train departure times and station stop times as decision variables. It takes into full consideration safety constraints on train operations, train capacity constraints and dynamic passenger demand. It has constructed a train schedule optimization model with the goal of minimizing the total waiting time for all passengers in the system.

This chapter explores the multifaceted present-day social and cultural constructions of adolescence in a Nordic Atlantic society, the Faroe Islands. Based on young people’s perspectives and narratives, this chapter delves into the transition from youthhood to adulthood in the context of a small-scale, family-oriented society in shift. Drawing on sociological theoretical writing about “waiting” and “waithood” in relation to the (often temporally extended or delayed) transition from adolescence to full adulthood in a globalizing world, as well as social anthropological studies of future-making, my aim is to outline the new futural orientations of contemporary adolescence with focus on aspirations for work and family life. Young people, the chapter argues, are waiting and navigating in a society with multiple parallel temporalities: When to marry? When to get children? When to earn your own money and have your own home? These and many other questions define waithood in contemporary society, which is characterized by an increasingly precarious avenue toward promising futures resonating the socially accepted ways of performing adulthood. In the Faroe Islands, an island society with roughly 54,000 inhabitants, young people’s waiting is very often also a question of staying or leaving, that is, mobility and migration strategies. The waiting entails pace as a strategy for the future (Eisenstein, 2021). Adolescent islanders aim to “hit the right pace” in their future imaginaries. This chapter contributes to sociological discussions on the social construction of adolescence with focus on the meaning of time and temporalities. It relies on empirical material from extensive qualitative studies in the Faroe Islands.

This paper aims to propose a simulation-based performance evaluation model for the drone-based delivery of aid items to disaster-affected areas. The objective of the model is to perform analytical studies, evaluate the performance of drone delivery systems for humanitarian logistics and can support the decision-making on the operational design of the system – on where to locate drone take-off points and on assignment and scheduling of delivery tasks to drones.

This simulation model captures the dynamics and variabilities of the drone-based delivery system, including demand rates, location of demand points, time-dependent parameters and possible failures of drones’ operations. An optimization model integrated with the simulation system can update the optimality of drones’ schedules and delivery assignments.

An extensive set of experiments was performed to evaluate alternative strategies to demonstrate the effectiveness for the proposed optimization/simulation system. In the first set of experiments, the authors use the simulation-based evaluation tool for a case study for Central Florida. The goal of this set of experiments is to show how the proposed system can be used for decision-making and decision-support. The second set of experiments presents a series of numerical studies for a set of randomly generated instances.

The goal is to develop a simulation system that can allow one to evaluate performance of drone-based delivery systems, accounting for the uncertainties through simulations of real-life drone delivery flights. The proposed simulation model captures the variations in different system parameters, including interval of updating the system after receiving new information, demand parameters: the demand rate and their spatial distribution (i.e. their locations), service time parameters: travel times, setup and loading times, payload drop-off times and repair times and drone energy level: battery’s energy is impacted and requires battery change/recharging while flying.

In this chapter, the author examines the way in which the purchase and delivery infrastructure of darknet cryptomarkets shapes the experience of opiate drug use and dependence. It uses the concept of social time and posits that the illicit drug distribution system reshapes two temporal dimensions shaping the experience of drug users. There is the experience of time located in the pharmacology of the drug and in the body of the drug user, which evokes experiences of withdrawal and dependence. Then there is the socio-technical embedding of the delivery system and governance structures which support or impinge on the autonomy of the user. This ‘drug time’ is both a benefit and a cost of engaging in cryptomarket use. The market infrastructure can give users the opportunities to more carefully manage their drug time, while also creating new risks of non-delivery that can sharpen experiences of dope sickness. The author concludes that the growing professionalisation, digitisation, and commercialisation of the drug market increasingly embed drug time in material infrastructures mediated through technical systems.

Bureaucracy to a large extent entrenches orderliness and productive means of achieving goals in both public and private organisations across the world. However, bureaucracy is not suitable in the management of hospitals due to its peculiar nature of operations. This study investigates the conundrum of bureaucratic processes and health-care service delivery in government hospitals in Nigeria.

The study surveyed 600 outpatients and attendees visiting tertiary and government hospitals in Nigeria using descriptive design to obtained data from the respondents. A research instrument, questionnaire, was used to gather data. Out of the 600 outpatients visiting the 20 hospitals in government and tertiary hospitals, 494 responses were returned from the attendees. The study employed random sampling strategy to collect the information.

The findings of this study were that service delivery in government hospitals were in adverse position on all the four constructs of bureaucratic dimensions as against quality of service delivery in hospitals in Nigeria. It discovered that bureaucratic impersonality cannot impact on the quality of service delivery in government hospitals in Nigeria. Separation and division of labour among health workers have no significant effect on quality service delivery in government hospitals. Formal rules and regulations (administrative procedure, rules, and policies) prevent quality service delivery in government hospitals in Nigeria. Also, patient’s waiting time was not significant to the quality of service delivery in government hospitals.

The results are constrained with dimensions of bureaucratic processes. Thus, the implication of this study is that bureaucracy in the Nigerian public hospitals is an unnecessary marriage which should be carefully separated and de-emphasised for quality service delivery in the hospitals to thrive.

Largely, this study is practical essential as it unearths the irrelevant operations procedure that hinder progress in Nigerian hospitals.

The study accomplishes recognised importance to survey how bureaucracy impedes quality service delivery in government hospitals. This study has provided a vital clue to elements that will bring rapid attention to patients’outcome in Nigerian hospitals and health-care facilities which hitherto has not been emphasised. The study has contributed to the existing body of knowledge associated to healthcare service quality in developing country.

Authorities have set up numerous security checkpoints during times of armed conflict to control the flow of commercial and humanitarian trucks into and out of areas of conflict. These security checkpoints have become highly utilized because of the complex security procedures and increased truck traffic, which significantly slow the delivery of relief aid. This paper aims to improve the process at security checkpoints by redesigning the current process to reduce processing time and relieve congestion at checkpoint entrance gates.

A decision-support tool (clearing function distribution model [CFDM]) is used to minimize the effects of security checkpoint congestion on the entire humanitarian supply network using a hybrid simulation-optimization approach. By using a business process simulation, the current and reengineered processes are both simulated, and the simulation output was used to estimate the clearing function (capacity as a function of the workload). For both the AS-IS and TO-BE models, key performance indicators such as distribution costs, backordering and process cycle time were used to compare the results of the CFDM tool. For this, the Kerem Abu Salem security checkpoint south of Gaza was used as a case study.

The comparison results demonstrate that the CFDM tool performs better when the output of the TO-BE clearing function is used.

The efforts will contribute to improving the planning of any humanitarian network experiencing congestion at security checkpoints by minimizing the impact of congestion on the delivery lead time of relief aid to the final destination.