DATA-DRIVEN SERVICE INNOVATION: A SYSTEMATIC LITERATURE REVIEW AND DEVELOPMENT OF A RESEARCH AGENDA

The potential created by ongoing developments in data and analytics permeates a multitude of research areas, such as the field of Service Innovation. In this paper, we conduct a Systematic Literature Review (SLR) to investigate the integration of data and analytics as an analytical unit into the field of Service Innovation – referred to as Data-Driven Service Innovation (DDSI). Overall, the SLR reveals three main research perspectives that span the research field of Data-Driven Service Innovation: Explorative DDSI, validative DDSI, and generative DDSI. This integrated theoretical framework describes the distinct operant roles of data analytics for Service Innovation, and thus contributes to the body of knowledge in the field of DDSI by providing three unified lenses, which researchers can use to describe and locate their existing and future research endeavors in this ample field. Building up on the insights from the SLR, a research agenda is proposed in order to trigger and guide further discussions and future research surrounding DDSI. Ultimately, this paper aims at contributing to the body of knowledge of Service Innovation in general and Data-Driven Service Innovation in particular by presenting a three-dimensional research space model structuring DDSI towards its advancement

Managing Initial Coin Offerings: Towards a Taxonomy of ICO Processes

Initial Coin Offerings are a new type of crowd-based fundraising mechanism that uses the blockchain to issue tokens to a crowd of people in exchange for funds that blockchain start-ups use to develop their business. Unfortunately, due to the recency of this new phenomenon, there is no systematic understanding of the ICO process and its underlying process characteristics. However, companies engaging in ICOs should be able to evaluate and choose the right process steps to best achieve their goal. Against this background, we develop a taxonomy for ICO processes. In contrast to previous work, this classification scheme focuses exclusively on the processual nature of ICOs and its underlying mechanisms

Using Crowdfunding For Start-Up Evaluation: How Task Representation Influences Predition Accuracy of The Crowd

The paper at hand examines if the crowd can offer valuable support in evaluating start-ups. In doing so, we plan to conduct an experiment 1.) to test if the crowd is capable to support experts in evaluating start-ups 2.) to examine how differences in task-representation (i.e. rating scales vs. a crowdfunding mechanism) influences cognitive processing of the crowd and 3.) to examine how types of cognitive processing (i.e. system 1 thinking vs. system 2 thinking) relate to prediction accuracy of the crowd. To this end, we plan to introduce crowdfunding as a new evaluation mechanism to support the crowd in coming up with more accurate predictions of start-up value. Our theoretical contribution is twofold. First, we aim to show if the crowd can be used to support Venture capitalists in evaluating start-ups, in the sense that their evaluations agree with expert evaluations. Second, we plan to con-tribute to a better understanding about how the design of evaluation mechanisms influences peoples cognitive processing and the crowds ability to predict start-up value

Opening the Black Box of Music Royalties with the Help of Hybrid Intelligence

The ever-increasing complexity of the music industry and the intensified resentment of artists towards collecting societies call for a transformation and a change of behavior within the music ecosystem. This article introduces a hybrid intelligence system, that ameliorates the current situation by combining the intelligence of humans and machines. This study proposes design requirements for hybrid intelligence systems in the music industry. Using a design science research approach, we identify design requirements both inductively from expert interviews and deductively from theory and present a first prototypical instantiation of a respective hybrid intelligence system. Overall, this shall enrich the body of knowledge of hybrid intelligence research by transferring its concepts into a new context. Furthermore, the identified design requirements shall serve as a foundation for researchers and practitioners to further explore and design hybrid intelligence in the music industry, and beyond

The Imprint of Design Science in Information Systems Research: An Empirical Analysis of the AIS Senior Scholars’ Basket

Design Science (DS) has become an established research paradigm in Information Systems (IS) research. However, existing research still considers it as a challenge to publish DS contributions in top IS journals, due to the rather strict guidelines that DS publications are expected to follow. Against this backdrop, we intend to emphasize the myriad of configurations and empirically describe the status-quo of DS publications in IS. Based on a Systematic Literature Review (SLR) and a conceptually derived analysis frame, we empirically analyze DS papers published in the AIS Senior Scholars’ Basket. Thereby, we intend to contribute conceptually and descriptively to the knowledge base of DS, by providing insights based on empirical evidence to aid and guide the discussion towards the advancement of the field. Overall, this shall lay the descriptive foundation for creating prescriptive knowledge on DS in IS by proposing and opening future research avenues

Deploying a Model for Assessing Cognitive Automation Use Cases: Insights from Action Research with a Leading European Manufacturing Company

Cognitive automation moves beyond rule-based automation and thus imposes novel challenges on organizations when assessing the automation potential of use cases. Thus, we present an empirically grounded and conceptually operationalized model for assessing cognitive automation use cases, which consists of four assessment dimensions: data, cognition, relationship, and transparency requirements. We apply the model in a real-world organizational context in the course of an action research project at the customer service department of ManuFact AG, and present unique empirical insights as well as the impact the application of the model had on the organization. The model shall help practitioners to make more informed decisions on selecting use cases for cognitive automation and to plan respective endeavors. For research, the identified factors affecting the suitability of a use case for cognitive automation shall deepen our understanding of cognitive automation in particular, and AI as the driving force behind cognitive automation in general

Heading for new Shores: Crowdsourcing for Entrepreneurial Opportunity Creation

In this conceptual paper, we propose crowdsourcing for opportunity creation as a new field of further research in both in the information systems and entrepreneurship domain. Building on previous research on entrepreneurial opportunity creation, we elaborate on the benefits of em-ploying a crowdsourcing approach in order to reduce uncertainty and iteratively develop an op-portunity into a new venture. Based on this assessment we develop a research agenda that high-lights the need to adapt previous crowdsourcing mechanisms for the special context of entrepre-neurial opportunity creation. In doings so, we expand research of crowdsourcing to the field of entrepreneurship by extending the principles of crowdsourcing for innovation for entrepreneuri-al opportunity creation. Further, by highlighting the requirements of crowdsourcing for oppor-tunity creation, we point towards potential future research issues. Such research should examine novel participation architectures that enable the iterative co-creation of an opportunity through different maturity stages, thereby overcoming the limitations of previous crowdsourcing efforts that rather focus on the generation of novel ideas than its evolution. Finally, we propose crowdsourcing as a practical way for entrepreneurs to validate their assumptions about their op-portunity, thereby achieving fast and early product-market fit

Structuring the Quest for Strategic Alignment of Artificial Intelligence (AI): A Taxonomy of the Organizational Business Value of AI Use Cases

The deployment of Artificial Intelligence (AI) in businesses is said to provide significant benefits to organizations. However, many businesses struggle to align single AI use cases with the overall strategic business value contribution. Thus, we investigate the strategic characteristics that determine the business value contribution of AI use cases at an organizational level. We draw on academic literature and 106 AI use cases to develop a conceptually sound and empirically grounded taxonomy of the organizational business value of AI use cases. With the developed taxonomy, decision-makers are presented with a tool to systematically align AI use cases with strategic objectives. Moreover, our findings reveal how an AI use case can generate different business value contributions in different contexts, which provides researchers with a conceptual frame for informing their empirical research endeavors at the organizational level

Pyramiding 2.0: Exaptation of the Pyramiding Approach to Recruit New Idea Contributors for a Virtual Ideas Competition

When searching for user innovations, the identification of so called ‘technology lead users’ is one of the most important tasks. However, scientific literature indicates that the present measures to search and to recruit new members imply high spreading losses. As a con-sequence we develop the “Pyramiding 2.0” approach. Building on existing literature we develop a theory-motivated approach for systematically recruiting participants for a crowdsourcing environment with the help of a virtual social network. This paper describes our reasons for using the pyramiding approach and elaborates on the supposed benefits that an adaption of the pyramiding search within an online setting implies. Our findings confirm the assumption that the pyramiding 2.0 approach can be successfully applied to recruit new idea contributors for a virtual ideas competition. Moreover, our results show that pyramiding can be applied within a virtual social network, thereby expanding existing literature within the field of pyramiding