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"Crowds Case studies."
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Crowds : ethnographic encounters
\"What exactly is a crowd? How do crowds differ from other large gatherings of people? And how do they transform people's emotions, politics, or faith? In Crowds: Ethnographic Encounters, ten ethnographers draw on their experiences and expertise to reflect on encounters with crowds. Each author examines a particular crowd or conception of crowdedness to provide an analysis of how, when, where - and with whom - crowds form in different contexts, as well as their purpose and the practical effect the experience has on both the participants and their environment. The wide selection of case studies ranges from the crowds that form every year during the Hajj, to New Year celebrations in China, commuters on the Delhi metro, public prayer in Nigeria, online mobs in Bangladesh, and the crowds that have emerged during protest movements in Thailand and Syria. Crowds makes a key contribution to establishing an anthropological theory of crowds and will be an essential read for both students and researchers\"-- Provided by publisher.
Book
Security Games
Security Games: Surveillance and Control at Mega-Events addresses the impact of mega-events - such as the Olympic Games and the World Cup - on wider practices of security and surveillance. \"Mega-Events\" pose peculiar and extensive security challenges. The overwhelming imperative is that \"nothing should go wrong.\" There are, however, an almost infinite number of things that can \"go wrong\"; producing the perceived need for pre-emptive risk assessments, and an expanding range of security measures, including extensive forms and levels of surveillance. These measures are delivered by a \"security/industrial complex\" consisting of powerful transnational corporate, governmental and military actors, eager to showcase the latest technologies and prove that they can deliver \"spectacular levels of security\".
Mega-events have thus become occasions for experiments in monitoring people and places. And, as such, they have become important moments in the development and dispersal of surveillance, as the infrastructure established for mega-events are often marketed as security solutions for the more routine monitoring of people and place. Mega-events, then, now serve as focal points for the proliferation of security and surveillance. They are microcosms of larger trends and processes, through which - as the contributors to this volume demonstrate - we can observe the complex ways that security and surveillance are now implicated in unique confluences of technology, institutional motivations, and public-private security arrangements. As the exceptional conditions of the mega-event become the norm, Security Games: Surveillance and Control at Mega-Events therefore provides the glimpse of a possible future that is more intensively and extensively monitored.
eBook
Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community
Several organizations have developed ongoing crowdsourcing communities that repeatedly collect ideas for new products and services from a large, dispersed \"crowd\" of nonexperts (consumers) over time. Despite its promises, little is known about the nature of an individual's ideation efforts in such an online community. Studying Dell's IdeaStorm community, serial ideators are found to be more likely than consumers with only one idea to generate an idea the organization finds valuable enough to implement, but they are unlikely to repeat their early success once their ideas are implemented. As ideators with past success attempt to again come up with ideas that will excite the organization, they instead end up proposing ideas similar to their ideas that were already implemented (i.e., they generate less diverse ideas). The negative effects of past success are somewhat mitigated for ideators with diverse commenting activity on others' ideas. These findings highlight some of the challenges in maintaining an ongoing supply of quality ideas from the crowd over time.
This paper was accepted by Kamalini Ramdas, entrepreneurship and innovation.
Journal Article
Crowd Cohesion and Protest Outcomes
Amidst an unprecedented swell in global protest, scholars and activists wrestle with the question of why protests succeed or fail. I explore a new answer: more cohesive crowds, where protesters agree on their demands, are more likely to win concessions than less cohesive crowds. Drawing on psychology and linguistics, I theorize that cohesive demands are more comprehensible and thus persuasive. I test this theory with a multimethod approach. First, I use cross-national data from 97 protests to estimate the relationship between crowd cohesion and subsequent concessions, applying natural language processing to measure cohesion in participants’ self-reported motivations. Second, a survey experiment in South Africa tests the causal effects of crowd cohesion and assesses comprehensibility of demands as the mechanism driving concessions. Third, case studies of two British protests demonstrate the theory in real-world settings. My findings suggest that activists can improve their odds of success by coordinating around a common goal.
Journal Article
How Can SMEs Use Crowdfunding Platforms to Internationalize? The Role of Equity and Reward Crowdfunding
Despite the exponential growth of crowdfunding in recent years, research on the role it plays in business internationalization is still embryonal. Building on the Resource Based View (RBV) and Knowledge Based View (KBV), this study explores how SMEs can use equity crowdfunding (ECF) and reward crowdfunding (RCF) to internationalize and the related potential limitations. Using an inductive qualitative research design, based on multiple case studies of Italian SMEs, our study showed that ECF and RCF models help SMEs in acquiring the financial resources needed to internationalize and, at the same time, offer significant added value to their internationalization. Our findings support the idea that ECF and RCF play a key role in helping companies to overcome their resource limitations in regard to internationalization, not only in terms of the provision of financial resources but, above all, by compensating for any lack of knowledge on aspects relevant to the internationalization process. Furthermore, our results show the limitations of SMEs use of crowdfunding in order to internationalize (i.e., a lack of ad hoc e-commerce policies in relation to equity crowdfunding and to the regulation of the pre-ordering mechanism in the reward model). This paper concludes by discussing the theoretical and managerial contributions to the international business domain, and highlighting fruitful avenues for future studies.
Journal Article
Dynamic flow analysis and crowd management for transfer stations: a case study of Suzhou Metro
Transfer stations are important nodes in the metro network, and it is of great significance to study the coordinated organization scheme between passenger demand and facility configuration, in order to improve the transportation efficiency. Taking the Dongfangzhimen station of the Suzhou Metro as the research object, this paper starts by analyzing the configuration of service-oriented facilities, and then dissects the spatiotemporal distribution characteristics and individual behavior characteristics of passengers via data processing, where a meticulous analysis has been carried out based on the automatic fare collection data and the field investigation data. On this basis, we have discussed the performance and bottlenecks under the current facility configuration and flow organization scheme, constructed the simulation scene of a representative peak hour in holidays using AnyLogic, and put forward a volume-based path organization scheme considering the coordination with flow demand, as well as a plan of multi-stage crowd management. As evidenced by the results, the improved scheme exhibits a higher adaptability to passenger flow and a greater balance among facility utilization, where the maximum queue length, the average time consumption and the average standing density have been reduced by 31%, 14% and 6%, respectively. The proposed methods of data analysis, flow organization and strategy decision are reliable and applicable to the management of metro transfer stations.
Journal Article
Research on the Spatial and Temporal Dynamics of Crowd Activities in Commercial Streets and Their Relationship with Formats—A Case Study of Lao Men Dong Commercial Street in Nanjing
Crowd activity is an important indicator of commercial streets’ attractiveness and developmental potential. The development of positioning technologies such as GPS and mobile signal tracking has provided a large amount of trajectory data for studying crowd activities on commercial streets. These data can not only be used for the statistics, extraction, and visualization of crowd information, but they also facilitate the exploration of deeper insights into dynamic behaviors, choices, trajectories, and other details of crowd activities. Based on this, this article proposes a new framework for analyzing crowd activities to explore the spatial activity patterns of crowds and understand the dynamic spatial needs of people by analyzing their correlations with local formats. Specifically, we analyze the spatial activity characteristics of a crowd in the Lao Men Dong Commercial Street area by identifying the stay points and trajectory clusters of the crowd, and we establish a regression analysis model by selecting commercial street format variables to evaluate their impact on crowd activities. Through case analysis of the Lao Men Dong Commercial Street, this study confirms that our method is feasible and suitable for spatial research at different scales, thereby providing relevant ideas for format location selection, spatial layout, and other planning types, and for promoting the sustainable development of urban spaces.
Journal Article
Towards a taxonomy of crowdsourced delivery business models
PurposeThe paper aims to develop (1) a comprehensive framework for classifying crowdshipping business models and (2) a taxonomy of currently implemented crowdshipping business models.Design/methodology/approachThe business models of 105 companies offering crowdsourced delivery services are analysed. Cluster analysis and principal component analysis are applied to develop a business model taxonomy.FindingsA detailed crowdsourced delivery business model framework with 74 features is developed. Based on it, six distinct clusters of crowdshipping business models are identified. One cluster stands out as the most appealing to customers based on social media metrics, indicating which type of crowdshipping business models is the most successful.Research limitations/implicationsDetailed investigations of each of the six clusters and of recent crowdshipping business model developments are needed in further research in order to enhance the derived taxonomy.Practical implicationsThis paper serves as a best-practices guide for both start-ups and global logistics operators for establishing or further developing their crowdsourced delivery business models.Originality/valueThis paper provides a holistic understanding of the business models applied in the crowdshipping industry and is a valuable contribution to the yet small amount of studies in the crowd logistics field.
Journal Article
Tourism as an Opportunity or the Danger of Saturation for the Historical Coastal Towns
In the era of urbanization, small towns confront challenges in sustaining and preserving their essence and population. Historical towns have discovered their potential in tourism development, yet this opportunity often escalates into overtourism, particularly in renowned cruising destinations. This paper focuses on examples of coastal historical towns dependent on tourism revenue and faced with an excessive influx of tourists in the Mediterranean Region. The objective is to examine various cases across diverse geographical, cultural, and policy contexts to evaluate their success in achieving a balance between economic development and genius loci. This analysis seeks to identify the factors that contributed to the attainment of this equilibrium. Therefore, we selected case studies throughout the Mediterranean coast—from Saint Paul de Vence and Èze at the Azure Coast, Dubrovnik and Kotor in the Adriatic Sea, to Nafplio and Monemvasia in the Aegean Sea. The selected examples range from towns that are almost entirely depopulated to those that are suffocating from the influx of tourists. Observations on the spot and review of policies led us to the conclusion that the geography of the area and cultural values represent comparative (dis)advantages that can be influenced and shaped by policies from the time of the pre-tourist phase to the phase of overtourism. Even though the success of an early policy and the effects of investments aligned with it might be uncertain, pre-tourist policies turn out to be the most successful when it comes to balanced tourist-resident development. Determination of authorities to not only see economic benefit but also genius loci and quality of life of residents is crucial, too.
Journal Article
Risk Assessment of Crowd-Gathering in Urban Open Public Spaces Supported by Spatio-Temporal Big Data
The urban open public spaces are the areas where people tend to gather together, which may lead to great crowd-gathering risk. This paper proposes a new method to assess the rank and spatial distribution of crowd-gathering risk in open public spaces in a large urban area. Firstly, a crowd density estimation method based on Tencent user density (TUD) data is built for different times in open public spaces. Then, a reasonable crowd density threshold is delimited to detect critical crowd situations in open public spaces and find out the key open public spaces that need to have intensive crowd-gathering prevention. For estimating the crowd-gathering risk in key open public spaces, the quantified risk assessment approach is conducted based on the classical risk theory that simultaneously considers the probability of an accident occurring, the severity of the accident consequence, and the risk aversion factor. A case study of the area within the Outer-ring Road of Shanghai was conducted to determine the feasibility of the new method. The thematic maps that describe the ranks and spatial distribution of crowd-gathering risk were generated. According to the risk maps, the government can determine the crowd control measures in different areas to reduce the crowd-gathering risk and prevent dangerous events.
Journal Article