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The motivation to participate in crowdsourcing (CS) platforms is an emerging challenge. Although researchers and practitioners have focused on crowd motivation in the past, the results obtained through such practices have not been satisfactory. Researchers have left unexplored research areas related to CS pillars, such as the evolution of the crowd’s primary motivations, seekers applying effective policies and incentives, platform design challenges and addressing task complexity using the synchronicity of the crowd. Researchers are now more inclined to address these issues by focusing on sustaining the crowd’s motivation; however, sustaining the crowd’s motivation has many challenges.

To fill this gap, this study conducted a systematic literature review (SLR) to investigate and map the challenges and factors affecting sustained motivation during CS with the overcoming implications. Studies that satisfied the inclusion criteria were published between 2010 and 2021.

Important sustainable factors are extracted using the grounded theory that has sustained participation and the factors' cohesion leads to the identification of challenges that the pillars of CS face. Crowds being the most vital part of CS contests face the challenge of engagement. The results reported the factors that affect the crowd’s primary and post-intentions, perceived value of incentives and social and communal interaction. Seekers face the challenge of knowledge and understanding; the results identify the reason behind the crowd’s demotivation and the impact of theories and factors on the crowd's psychological needs which helped in sustaining participation. Similarly, the platforms face the challenge of being successful and demanding, the results identify the latest technologies, designs and features that seekers proclaim and need the platforms designer's attention. The identified task challenges are completion and achievement; the authors have identified the impact of trait of task and solving mechanisms that have sustained participation.

The study identifies, explores and summarizes the challenges on CS pillars researchers are facing now to sustain contributions by keeping participants motivated during online campaigns. Similarly, the study highlights the implication to overcome the challenges by identifying and prioritizing the areas concerning sustainability through the adoption of innovative methods or policies that can guarantee sustained participation.

Residential crowding and underlying causes of crowding have been changing across the globe over time. The aim of this paper is to examine the dynamics of housing consumption and residential crowding in Hong Kong.

While the two‐step Engle‐Granger co‐integration approach based on an error correction model (ECM) is used to test for long‐run relation and short‐run dynamics of housing consumption, the study also uses a multivariate regression model to analyze the factors affecting residential crowding. Along with other variables in previous literature, the study introduces a new institutional factor, i.e. land supply, into the model that analyzes these two issues over a time span of 25 years.

The study's results suggest that many households in Hong Kong still have inadequate housing, and residential overcrowding is a serious issue. Coupled with market forces (e.g. income, housing price, household size), the new land supply factor noticeably has exerted significant influence on the two subject issues under investigation.

The paper provides policy implications that to address such deficiencies, the government should change its current land supply policy. A policy shift is recommended away from its “high‐land price” policy towards comprehensive developments in outer urban areas. This institutional change should help improve housing consumption in the territory overall.

This study adds knowledge to previous works in analyzing residential crowding and its underlying causes over the years, rather than in a particular point in time. It is also the first of its kind in Hong Kong.

Crowded urban regions pose a complex urban challenge that can adversely affect urban residents, encompassing aspects like mental and physical well-being, overall livability and quality of life. The complexity in determining the factors influencing the crowding perception, which encompass subjective and situational psychological factors alongside physical and environmental attributes, imparts ambiguity to planners' approach. This study aims to unravel the intricate interplay between crowding and the physical attributes inherent in the built environment.

This literature review analyses theories linking urban planning and environmental psychology to uncover gaps in the relationship between urban design principles and residents' perceptions of crowding. It also explores influential variables affecting crowding perception and diverse methodologies across contexts.

The study built upon a broad literature review which is expected to summarise and classify the variables of urban planning components and approaches according to their impacts on the psychological perception of crowding. Furthermore, highlighting a number of recommendations that can be considered a guide for planners and urban designers to enhance the urban experience and reduce the perception of crowding.

This study seeks to improve the overall experience of crowding in densely populated urban areas. It accomplishes this by identifying influential factors and comprehending the associated outcomes in such contexts. Furthermore, it bridges perspectives from various fields to examine relevant policies and strategies to mitigate crowding consequences.

The purpose of this paper is to present a comprehensive review of the body of literature concerning human factors in retail environments and their influence on consumers. Additionally, the authors identify the research gaps in the literature and suggest directions for future research.

This study uses qualitative approaches to provide a comprehensive review of human factors in retail environments.

The review is synthesised based on two main categories: the effects of other customers and the effects of sales associates. The influence of other customers, including the number of customers and social relations, is a significant source of human‐related environmental cues. In addition, existing studies support the importance of the number of sales associates, sales associates' physical attributes, and their behavioural characteristics observed in stores.

This study suggests that retailers need to effectively manage, control and manipulate human‐related environmental factors in order to generate a positive influence on consumers' perceptions towards stores and their behaviours.

This study provides a conceptual framework that integrates various human‐related factors in retail environments and their significant insights in the effective management of these factors identified for researchers and retailers.

This paper aims to explore the development and application of place crowd safety management tools for areas of public assembly and major events, from a practitioner perspective.

The crowd safety risk assessment model is known as design, information, management-ingress, circulation, egress (DIM-ICE) (Still, 2009) is implemented to optimise crowd safety and potentially throughput. Three contrasting case studies represent examples of some of the world’s largest and most challenging crowd safety projects.

The paper provides some insight into how the DIM-ICE model can be used to aid strategic planning at major events, assess potential crowd risks and to avoid potential crowd safety issues.

It provides further clarity to what effective place management practice is. Evidence-based on the case studies demonstrates that the application of the DIM-ICE model is useful for recognising potential place crowd safety issues and identifying areas for require improvement.

Crowd science is an emerging field of research, which is primarily motivated by place crowd safety issues in congested places; the application and reporting of an evidence-based model (i.e. DIM-ICE model) add to this. The paper addresses a research gap related to the implementation of analytic tools in characterising place crowd dynamics.

The paper examines coping strategies that consumers use within crowded retail stores. Specifically, this study explores and identifies coping strategies that consumers use, investigates whether the Folkman or Duhachek coping frameworks adequately capture all of the ways consumers cope, and looks at the implications these coping strategies may have on consumers and retailers.

A three‐stage qualitative study was conducted. Stage One consisted of informal interviews with customers. Stage Two was a pilot study of airport passengers. Stage Three was an online qualitative survey.

Many of Duhachek's and Folkman's coping strategies were operative within a crowded retail setting. The coping strategies that were frequently used were distancing, avoidance, social support, rational thinking, action, escape, positive thinking, emotional venting, and confrontive. The study also found that further refinement of coping strategies and scales is needed.

An understanding of consumer coping strategies can help retailers to promote beneficial consumer coping strategies and avoid or limit detrimental coping strategies. The limitation of the study is that it is exploratory in nature.

The paper provides a rich and vivid understanding of how consumers cope in a crowded environment, and demonstrates the importance of crowds and consumer coping and how these variables affect retailers. The study identifies new coping strategies, relabels existing coping strategies with more descriptive and comprehensive titles, and confirms established coping strategies.

Intelligence level of a crowd network is defined as the expected reward of the network when completing the latest tasks (e.g. last N tasks). The purpose of this paper is to improve the intelligence level of a crowd network by optimizing the profession distribution of the crowd network.

Based on the concept of information entropy, this paper introduces the concept of business entropy and puts forward several factors affecting business entropy to analyze the relationship between the intelligence level and the profession distribution of the crowd network. This paper introduced Profession Distribution Deviation and Subject Interaction Pattern as the two factors which affect business entropy. By quantifying and combining the two factors, a Multi-Factor Business Entropy Quantitative (MFBEQ) model is proposed to calculate the business entropy of a crowd network. Finally, the differential evolution model and k-means clustering are applied to crowd intelligence network, and the species distribution of intelligent subjects is found, so as to achieve quantitative analysis of business entropy.

By establishing the MFBEQ model, this paper found that when the profession distribution of a crowd network is deviate less to the expected distribution, the intelligence level of a crowd network will be higher. Moreover, when subjects within the crowd network interact with each other more actively, the intelligence level of a crowd network becomes higher.

This paper aims to build the MFBEQ model according to factors that are related to business entropy and then uses the model to evaluate the intelligence level of a number of crowd networks.

The purpose of this paper is to analyze the crowd stampede risk mechanism from the perspective of systems thinking.

Causal loop diagram is drawn to outline the non-linear interactions among complex factors across the whole system and dissect the contributory factors of crowd stampede accident. To systematically construct the theoretical framework and find fundamental solutions, co-word analysis with Citespace is used to get the critical data. An agent-based simulation using Pathfinder is conducted to develop a spatial model for the Shanghai Stampede Accident that happened in 2014.

The causal loop diagram is formed to not only illustrate the symptomatic solutions with a quick fix but also dissect the fundamental solutions through an underlying systemic analysis. The simulation shows that crowd stampede experiences an interactive process of accumulation, trigger, delay, break and diffusion of risk factors within the crowd system. A linkage effect among the multidimensional characters of individuals and the system accelerates the stampede risk deterioration. There exists delay of the result of effect from the deep-level measure.

A top-down approach is offered to policymakers for crowd stampede risk protocol design and synergic emergency control that may reduce the risk of the stampede.

In this study, SDFT paradigm is proposed as the critical solution for the crowd stampede accident. In addition, a chain effect of energy and a linkage effect within the crowd system is illustrated for in-depth understanding of crowd stampede risk.

The purpose of this paper is to examine the nature and dynamics of crowd disorder from the perspective of the police in a Canadian context, as well as to extend this perspective to include the opinions of female police officers.

A total of 460 Vancouver police officers participated in this study. Following the 2011 Stanley Cup riot, police officers received mail-based questionnaires focussed on gathering information concerning police perceptions of the crowd and the police response in riot situations. A total of 15 response items were analysed using descriptive approaches and confirmatory factor analyses.

The study findings revealed that, in addition to being multidimensional, the police perspective of crowd disorder may be contingent upon certain officer characteristics. Although, the police perspective can generally be categorized by four overarching constructs: dichotomous crowd, homogeneous threat, strict policing and tactical response; it becomes more complex once the officers’ gender is taken into consideration. The results suggest that the male and female police officers may have some differing views about the nature of crowds and the type of police response required to manage disorderly crowd situations.

In addition to being the first study to analyse police perceptions of crowd disorder in a Canadian context, this research is the first to include the points of view of female officers.

Crowd logistics is a rising phenomenon in last-mile delivery that integrates technological applications and sources a large number of participants to do logistical activities, achieving sustainable shipping in urban environments. However, up until now, there has been limited literature in this field. This research aims to investigate the extrinsic and intrinsic factors that impact the participative behaviour of driver-partners in crowd logistics.

An integrated model is developed based on motivation theory, incorporating attitude as a contributor to both extrinsic and intrinsic motivations. A questionnaire was constructed and distributed to collect data from 303 respondents who are existing or potential driver-partners in Vietnam.

Our findings confirm (1) the influence of monetary rewards on extrinsic motivation and (2) the power of self-efficacy, trust and sense of belonging on intrinsic motivation. Further, we find that attitude positively impacts extrinsic motivation, whereas there is no effect between attitude and intrinsic motivation. Both extrinsic and intrinsic motivations are demonstrated to significantly influence driver-partners' participative intentions. Additionally, a positive association is found between extrinsic and intrinsic motivations.

Findings from this study theoretically enrich the literature on crowd logistics, especially on the supply side, and empirically contribute to implications that are valuable to crowd logistics firms on driver-partner recruitment and business strategy development.