Business Intelligence, Business Analytics, and Big Data: Innovation, Deployment, and Management

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    Delineating the Business Value of Data-driven Initiatives in Organizations – Findings from a Systematic Review of the Information Systems Literature
    ( 2023-01-03) Hirschlein, Nico ; Meckenstock, Jan-Niklas ; Schlauderer, Sebastian ; Overhage, Sven
    A key objective of data-driven transformations is to utilize big data analytics (BDA) to create data-driven business value (DDBV). While prior research shows the potential of BDA to achieve DDBV, the concept remains blurry and an overview of realizable DDBVs is still lacking. To better understand the multidimensionality of the DDBV concept and to obtain insights into the bandwidth of achievable DDBVs, we conducted a systematic review of the information systems literature. Based on our results, we present a comprehensive overview of 34 DDBVs, which are classified according to their tangibility and locus of value realization. Furthermore, we describe three research deficiencies: (1) the missing operationalization of the DDBV concept, (2) the lack of explanatory mechanisms for DDBV realization, and (3) missing qualitative, in-depth insights into DDBV realization processes. Future research may build upon our systematization and help closing these research gaps, thereby increasing the success likelihood of data-driven initiatives.
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    Exploring the Role of Creativity in Business Analytics Use: A Business Analysts Perspective
    ( 2023-01-03) Simonovič, Mojca ; Popovič, Aleš ; Yeoh, William
    Today’s businesses heavily rely on Business Analytics (BA) for informed decision-making, developing and sustaining competitive advantage, and growth. For achieving these goals, organizations aspire for creativity and creative solutions. Creativity is an important source of organizational innovation, competitive advantage, and growth, yet it remains an under-researched area in the information systems discipline. Intrigued by the influential role of creativity in organizational performance, we aim to explore its role in using BA. Through a qualitative approach, we aim to establish the importance of creativity for BA use and provide a deeper understanding of users’ (i.e., business analysts’) perceptions of creativity in the BA use process.
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    Business Intelligence and analytics success factors: A case study in the financial sector
    ( 2023-01-03) Bagheri, Samaneh ; Zwering, Marco
    Business Intelligence and Analytics (BI&A) can support organizations to improve their decision-making and performance. However, despite the increasing investment in BI&A, a lot of organizations have failed to implement it successfully. Therefore, it is vital for organizations to clearly understand Critical Success Factors (CSFs) for the implementation of BI&A. Although various CSFs of BI&A are suggested by prior studies, there is little consensus on determining these factors. Furthermore, most former studies only deliver a list of theoretical CSFs of BI&A, while little evidence is given on the practical relevance of these factors and the reasoning and rationale behind them. The objective of this research is to theoretically identify and empirically evaluate these CSFs. We identify a set of CSFs of BI&A through a systematic literature review. Then, through a case study in the financial sector in the Netherlands, we provide an in-depth understanding of the practical relevance of these CSFs and the rationale behind them.
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    A Framework for the Systematic Evaluation of Data and Analytics Use Cases at an Early Stage
    ( 2023-01-03) Schwarz, Dustin ; Mueller, Roland M. ; List, Michael
    Due to the immense growth of collected data and advancing big data technologies, there are countless potential use cases of data and analytics. But most data initiatives fail and do not bring the desired outcome. One essential reason for this situation is the lack of a systematic approach to evaluate and select promising analytics use cases. This study presents an evaluation framework that enables the systematic screening at an early stage by assessing nine criteria with the help of a scoring model. It also supports a prioritization among several use cases and facilitates the communication to decision makers. The action design research approach was followed to build, test, and evaluate the framework in three iterative design cycles. It was developed in close collaboration with Bundesdruckerei GmbH, an IT-security company owned by the German government that offers products and services for secure identities, data, and infrastructures.
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    Role of Data in the Building of Legitimacy for Green Bonds — Capturing, Contextualizing, and Communicating
    ( 2023-01-03) Tona, Olgerta ; Zhang, Yixin ; Asatiani, Aleksandre ; Lindman, Juho
    Green bond markets promise to fight climate change by encouraging green investments. Yet, the real-world complexity of quantifying the green impact of sustainable initiatives might be exploited for greenwashing, thus threatening the entire market's credibility. Advances in business analytics research and practice hold the potential to untangle this complexity. This study aims to explore how one can engage with data to build the legitimacy of green bonds. In particular, we detail data-related needs, requirements, and challenges that are critical to take into account for designing relevant and effective information system artifacts that will support green bond markets. Through focus groups, interviews, and secondary data analysis, we identify capturing, contextualizing, and communicating green impact as core activities for bond issuers toward ensuring legitimacy for their green bonds. Based on these findings, we outline future research avenues and propose an initial set of research questions for the business analytics and, more broadly, information systems community.