Refine
Has Fulltext
- no (2)
Year of publication
- 2021 (2) (remove)
Document Type
- Article (2)
Language
- English (2)
Is part of the Bibliography
- yes (2)
Keywords
- management (2) (remove)
Institute
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.
In coherence with the progressive digitalization of all areas of life, the Internet of Things (IoT) is a flourishing concept in both research and practice. Due to the increasing scholarly attention, the literature landscape has become scattered and fragmented. With a focus on the commercial application of the IoT and corresponding research, we employ a co-citation analysis and literature review to structure the field. We find and describe 19 research themes. To consolidate the extant research, we propose a research framework, which is based on a theoretical implementation process of IoT as a concept, specific IoT applications, or architectures integrated in an adapted input–process–output model. The main variables of the model are an initial definition and conceptualization of an IoT concept (input), which goes through an evaluation process (process), before it is implemented and can have an impact in practice (output). The paper contributes to interdisciplinary research relating to a business and management perspective on IoT by providing a holistic overview of predominant research themes and an integrative research framework.