Introduction to Internal Crowdsourcing: Theoretical Foundations and Practical Applications

Ulbrich, Hannah; Wedel, Marco; Dienel, Hans‐Liudger

doi:10.1007/978-3-030-52881-2_1

Cited by 2 publications

(2 citation statements)

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“…Paper I. introduces a definition of internal crowdsourcing, which has been broadly adopted and confirmed by several further studies (e.g., Ulbrich, et al, 2021;Pohlisch, 2021;Iskender, et al, 2021).…”

Section: Recent Developments In Internal Crowdsourcingmentioning

confidence: 95%

“…While newer, and less documented, this form of crowdsourcing holds the largest promise for organizational impact Benbya and Van Alstyne, 2011;. Though this phenomenon has been documented in a number of cases Ulbrich, et al, 2021;Wedel, et al, 2021;, we lack theories and knowledge to answer essential questions regarding this social-IT based phenomenon.…”

Section: Introductionmentioning

confidence: 99%

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Understanding internal crowdsourcing

Zuchowski¹

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This doctoral thesis is a cumulative account that summarizes the latest research about an open, social IT enabled phenomenon called "internal crowdsourcing”. Organizations are increasingly leveraging open organizational forms to organize knowledge (Afuah and Tucci 2012; Puranam, et al. 2013; Majchrzak, et al., 2021). Social information technology (i.e., social IT) is seen an enabler and transformer of such new organizational structures (e.g., McAfee, 2009; Leonardi, et al., 2013; Schlagwein and Hu 2016; Baptista, et al., 2020). The internal use of social IT in organizations has increased substantially in recent years. In the annual McKinsey Social Media survey, over 85 percent of respondents said their companies use social IT for internal purposes (Bughin et al., 2017). To understand such new social-IT based phenomenons new theoretical considerations are required (e.g., Puranam, et al., 2014; Argote, 2012). Inspired by the success of external crowdsourcing with customers, a number of organizations have recently adopted internal crowdsourcing with employees (e.g., BOSCH, Daimler, LEGO). Crowdsourcing refers to the practice of issuing open calls to large groups of people via social IT (Estellés-Arolas and González-Ladrón-de-Guevara, 2012). Crowdsourcing provides organizations with access to the knowledge and skills of a distributed and potentially very large “crowd” for solving a problem (Benbya and Van Alstyne, 2011; Simula and Vuori, 2012; Afuah and Tucci, 2012; Jeppesen and Lakhani, 2009; Malone et al., 2009). As an emerging phenomenon in professional praxis, it has been under-researched and many fundamental questions still remain unanswered. We know little about how internal crowdsourcing works and how it is impacting the organization (Leonardi, 2007, Majchrzak and Cherbakov, 2009; Malone, et al., 2009; Faraj, et al., 2011; 2014; Johnson, et al. 2014; Chen, 2013; Majchrzak, et al. 2000, 2021; Gilson, et al., 2014). The purpose of this thesis is therefore to shed light on internal crowdsourcing to theorize this empirical phenomenon and to build theory about new social-IT based phenomenons in general. This cumulative thesis contains four papers that contribute to this central goal. The results of these papers have been iteratively developed, each with a distinct set of research questions. Paper I was conducted to provide a conceptual development, to synthesize the current state of literature and to provide a research agenda about internal crowdsourcing. Paper II was set up to understand the state-of-art of organizational learning theory vis-à-vis information systems in terms of drivers and barriers. The paper thus lays the foundation to apply the organizational learning lens to the empirical phenomenon internal crowdsourcing. Paper III was conducted in order to understand how organizations learn through internal crowdsourcing. The paper explains internal crowdsourcing’s learning practices. Paper IV builds on the literature on new forms of organizing and develops an organizing model focusing on internal crowdsourcing’s preconditions, nature and consequences, providing a theoretical account of internal crowdsourcing as form of organizing.

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Section: Recent Developments In Internal Crowdsourcingmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Understanding internal crowdsourcing

Zuchowski¹

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Description of Crowdsourcing and AI-Based Tool for Knowledge Management and Systems Change in Public Services

Ulmanen,

Hirvonen,

Tattersall

et al. 2024

Int. J. Innovation Technol. Management

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This study presents a crowdsourcing IT platform and working model intended to support knowledge management processes and systems change to help public service organizations fulfill their purpose and perform their tasks in a rapidly changing environment. The tool brings together tacit and explicit knowledge regarding organizational processes in one database and provides an AI-assisted platform for knowledge processing. Additionally, it allows for disseminating refined data to grassroots-level actors, enables the implementation of initiatives, and monitors their effectiveness. By utilizing crowdsourcing, the tool leverages the collective intelligence of actors across organizational boundaries, thereby promoting collective, knowledge-based learning and organizational self-renewal.

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Introduction to Internal Crowdsourcing: Theoretical Foundations and Practical Applications

Cited by 2 publications

References 7 publications

Understanding internal crowdsourcing

Understanding internal crowdsourcing

Description of Crowdsourcing and AI-Based Tool for Knowledge Management and Systems Change in Public Services

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