TY - JOUR A1 - Jashari, Arbrie A1 - Tiberius, Victor A1 - Dabić, Marina T1 - Tracing the progress of scenario research in business and management JF - Futures & foresight science N2 - Business and management research on scenarios has been highly productive over the decades but led to a complex literature that is hard to oversee. To organize the field and identify distinguishable research clusters, we conducted a co-citation analysis focusing on the long-term history of research. We compare our findings with a previously published bibliographic coupling, focusing on the more recent research to trace its development over time. Our study revealed six research clusters: (1) Planning the Future with Scenarios, (2) Scenario Planning in Strategic Management, (3) Reinforcing the Scenario Technique, (4) Integration of Scenario Planning and MCDA, (5) Combination of Different Methods, and (6) Decision-making through Stochastic Programming, whereas the bibliographic coupling generated 11 clusters. Some former research clusters were divided into separate new clusters, while others were united. Additionally, completely new clusters emerged. Future research on scenarios is expected (1) to further differentiate into strategy and operations, (2) to be based on “behavioral futures” or “behavioral foresight” as a new research stream, (3) to advance the scenario technique methodically and include new specific scenario generation methods, and (4) to put forth new application areas. KW - bibliometric analysis KW - business research KW - co‐citation analysis KW - management KW - scenario Y1 - 2021 U6 - https://doi.org/10.1002/ffo2.109 SN - 2573-5152 VL - 4 IS - 2 PB - John Wiley & Sons CY - Hoboken, NJ ER - TY - JOUR A1 - Tiberius, Victor A1 - Stiller, Laura A1 - Dabić, Marina T1 - Sustainability beyond economic prosperity BT - social microfoundations of dynamic capabilities in family businesses JF - Technological forecasting and social change N2 - Family businesses strive not only for economic prosperity but also for social and environmental values and achievements. In an ever-changing business environment, dynamic capabilities are required to sustain performance across these areas. To understand these mechanisms in order to proactively manage them, it is necessary to identify their specific microfoundations and uncover how these relate to sustainability. However, research on sustainability dynamic capabilities in family businesses and their microfoundations is scarce. To address this research gap, we conducted semi-structured interviews with 11 German and Swiss family businesses from different industries of different ages and sizes. Our findings suggest that the majority of dynamic capability microfoundations relate to economic sustainability, with a specific focus on future orientation, traditional mindsets, rapid decision-making, intuition, speed, and resource slack. Further, we find the social aspects of innovative mindsets, human capital investments, and participation to be the specific microfoundations that strongly link with social and, eventually, economic sustainability. However, we did not find specific microfoundations for environmental sustainability. Y1 - 2021 U6 - https://doi.org/10.1016/j.techfore.2021.121093 SN - 0040-1625 VL - 173 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Tiberius, Victor A1 - Gojowy, Robin A1 - Dabic, Marina T1 - Forecasting the future of robo advisory BT - a three-stage delphi study on economic, technological, and societal implications JF - Technological forecasting & social change N2 - Robo advisors represent a digital financial advice solution challenging traditional wealth and asset management, investment advice, retirement planning, and tax-loss harvesting. Based on algorithms, big data analysis, machine learning, and other technologies, these services minimize the necessity for human intervention. Based on an international three-stage Delphi study, we provide a plausible forecast of the development of the robo advisor industry, with regards to market development, competition, drivers of growth, customer segments, challenges, services, technologies, and societal change. The results suggest that the financial advice market will experience a further increase in the number of robo advisor services available. Existing and traditional financial advice players will be forced to adjust to the changing environment of the market. Due to low fees and ease of use, robo advisors will be made available to a broad cross section of society, and will cause significant market losses for traditional investment advice companies. Ten years from now, the predominant investment class will remain Exchange Traded Funds (ETFs). Even though degrees of human intervention are expected to vary considering the complexity of advice, automation will increase in significance when it comes to the development of robo advisors. KW - Robo advisor KW - Financial technology KW - FinTech KW - Investment advice KW - Delphi study KW - scenari Y1 - 2022 U6 - https://doi.org/10.1016/j.techfore.2022.121824 SN - 0040-1625 SN - 1873-5509 VL - 182 PB - Elsevier CY - New York ER -