What the Crowd Sources: A Protocol for a Contribution-Centred Systematic Literature Review of Data Crowdsourcing Research

Data crowdsourcing is the mobilization of large groups of contributors—often volunteers via the Internet—to collect and/or analyze data. Research on data crowdsourcing often prioritizes the data consumer or project sponsor. Significant gaps remain in understanding how to address design issues from the perspective of data crowdsourcing contributors. A systematic literature review is an ideal method for identifying gaps in how researchers conceptualize contributions in data crowdsourcing. This project presents a protocol for such a systematic literature review of data crowdsourcing. We will use the protocol to guide a subsequent systematic literature review and the construction of a data-information-knowledge-wisdom chart that identifies critical gaps and opportunities for research in data crowdsourcing systems

Advancing ICT4D Research through Service-dominant Logic

The information systems (IS) discipline has not accorded the same attention to theory testing as it has to theory building. Further, crowdsourcing presents rich opportunities for the theory testing process that have not been fully explored. This paper builds on previous work, employing a design science research (DSR) paradigm in order to develop a decision support system artefact that will help early career researchers identify viable theory testing approaches, and how crowdsourcing can help facilitate the testing process. As part of the DSR build/evaluate cycle, this paper presents a conceptual framework and model of theory testing in IS, and the problem frame in which they are situated is evaluated using Scho_n’s theory of reflective practice and problem/solution framing. Data collected from PhD students revealed an incomplete level of knowledge of theory testing, and a lack of awareness of the possibilities provided by adopting a crowdsourcing strategy

Digital Entrepreneurship Dimensions and Strategies: Crowdsourcing and Digital Financing

[EN] This paper aims to investigate an agile, knowledge-based, innovative, and integrated solution for businesses, i.e., Digital entrepreneurship, which means creating new ventures and transforming existing businesses by developing novel digital technologies and novel usage of such technologies. On the one hand, financing the projects is unaffordable for the companies, and a crowdsourcing platform is a good way to mitigate the burden of expenditure. The Digital Entrepreneurship process is a multidisciplinary field: developing software is rooted in information systems (IS), conceptualising business models, and formulating strategy. In addition to that, digital entrepreneurship is located at the junction of knowledge, business, and institutional entrepreneurship. This complicated nature of digital entrepreneurship requires a strategy. The type of opportunities they pursue characterises the strategy of formation and sustainability for a new venture; therefore, the entrepreneurs need to select strategies to make the best position according to their resources or the attainable resources through crowdsourcing. We shed light on the importance of crowdsourcing to have a successful state¿of¿the¿art business after reviewing the background of digital entrepreneurship, crowdsourcing, and the digital entrepreneurship strategy.Garrigós Simón, FJ.; Alizadeh Moghadam, SS.; Abdi, L.; Pourmirali, Z.; Abdi, B. (2021). Digital Entrepreneurship Dimensions and Strategies: Crowdsourcing and Digital Financing. Management and Business Research Quarterly. 18:1-15. https://doi.org/10.32038/mbrq.2021.18.01S1151

Privacy in crowdsourcing:a systematic review

The advent of crowdsourcing has brought with it multiple privacy challenges. For example, essential monitoring activities, while necessary and unavoidable, also potentially compromise contributor privacy. We conducted an extensive literature review of the research related to the privacy aspects of crowdsourcing. Our investigation revealed interesting gender differences and also differences in terms of individual perceptions. We conclude by suggesting a number of future research directions.</p

CommuniSense: Crowdsourcing Road Hazards in Nairobi

Nairobi is one of the fastest growing metropolitan cities and a major business and technology powerhouse in Africa. However, Nairobi currently lacks monitoring technologies to obtain reliable data on traffic and road infrastructure conditions. In this paper, we investigate the use of mobile crowdsourcing as means to gather and document Nairobi's road quality information. We first present the key findings of a city-wide road quality survey about the perception of existing road quality conditions in Nairobi. Based on the survey's findings, we then developed a mobile crowdsourcing application, called CommuniSense, to collect road quality data. The application serves as a tool for users to locate, describe, and photograph road hazards. We tested our application through a two-week field study amongst 30 participants to document various forms of road hazards from different areas in Nairobi. To verify the authenticity of user-contributed reports from our field study, we proposed to use online crowdsourcing using Amazon's Mechanical Turk (MTurk) to verify whether submitted reports indeed depict road hazards. We found 92% of user-submitted reports to match the MTurkers judgements. While our prototype was designed and tested on a specific city, our methodology is applicable to other developing cities.Comment: In Proceedings of 17th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2015