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Adoption of artificial intelligence (AI) has risen sharply in recent years but many firms are not successful in realising the expected benefits or even terminate projects before completion. While there are a number of previous studies that highlight challenges in AI projects, critical factors that lead to project failure are mostly unknown. The aim of this study is therefore to identify distinct factors that are critical for failure of AI projects. To address this, interviews with experts in the field of AI from different industries are conducted and the results are analyzed using qualitative analysis methods. The results show that both, organizational and technological issues can cause project failure. Our study contributes to knowledge by reviewing previously identified challenges in terms of their criticality for project failure based on new empirical data, as well as, by identifying previously unknown factors.
Hybrid project management is an approach that combines traditional and agile project management techniques. The goal is to benefit from the strengths of each approach, and, at the same time avoid the weaknesses. However, due to the variety of hybrid methodologies that have been presented in the meantime, it is not easy to understand the differences or similarities of the methodologies, as well as, the advantages or disadvantages of the hybrid approach in general. Additionally, there is only fragmented knowledge about prerequisites and success factors for successfully implementing hybrid project management in organizations. Hence, the aim of this study is to provide a structured overview of the current state of research regarding the topic. To address this aim, we have conducted a systematic literature review focusing on a set of specific research questions. As a result, four different hybrid methodologies are discussed, as well as, the definition, benefits, challenges, suitability and prerequisites of hybrid project management. Our study contributes to knowledge by synthesizing and structuring prior work in this growing area of research, which serves as a basis for purposeful and targeted research in the future.
Mobile apps for sustainability in grocery shopping: increasing acceptance through gameification
(2022)
Sustainability has become an important topic in social sciences research as well as in the societal debate. Research in general indicates a high sensitivity of sustainability issues in broad parts of the society, however a change of consumption habits can hardly be overserved. It can be argued that technology, such as mobile apps, can play an important role to increase more sustainable behaviors and consumption habits, as they facilitate such behaviors, bring transparency to an unclear field and reduce complexity. Our research hence approaches an important research gap, especially as currently existing apps show a lack of functionalities and UX. By using a Design Science Research (DSR) approach applying Chou’s Octalysis framework, we systematically analyzed eight apps in the field of sustainability and two general gamification apps as reference points complementing our findings with issues discussed in literature and could identify a broad range of functionalities. This comprehensive analysis allowed us to develop an initial mockup of a potential app, which then was tested within a user-group of ten users by using a semi structured interview approach. Our findings contribute to knowledge by highlighting the importance of user experience on the acceptance of mobile apps, as well as, by showcasing how gamification can contribute to a sustained use of mobile apps in this specific context.
Since half a decade, there has been an increasing interest in Robotic Process Automation (RPA) by business firms. However, academic literature has been lacking attention to RPA, before adopting the topic to a larger extent. The aim of this study is to review and structure the latest state of scholarly research on RPA. This chapter is based on a systematic literature review that is used as a basis to develop a conceptual framework to structure the field. Our study shows that some areas of RPA have been extensively examined by many authors, e.g. potential benefits of RPA. Other categories, such as empirical studies on adoption of RPA or organisational readiness models, have remained research gaps.