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Authors: Petricevic, Olga; Advisor: -; Participants: Teece, David J. (2019) - The rapid reshaping of the global economic order requires fundamental shifts in international business scholarship and management practice. New forms of protectionist policies, new types of internationalization motives, and new tools of techno-nationalism may lead to what we call ‘‘bifurcated governance’’ at the macro-level and ‘‘value chain decoupling’’ at the micro-level. As a result, innovation networks will require novel reconfigurations. We examine the emerging constraints on multinational enterprises, imposed by a bifurcated
world order. We also discuss how the dynamic capabilities framework can guide scholars and managers alike to achieve new forms of evolutionary fitness.
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Authors: Veh, Annika; Advisor: -; Participants: Go ¨ bel, Markus; Vogel, Rich (2019) - The study of reputation figures prominently in management research, yet the increasing number of publications makes it difficult to keep track of this growing body of literature. This paper provides a systematic review of the literature based on a large-scale bibliometric analysis. We draw on bibliographic data of 5885 publications
published until 2016, inclusively, and combine co-citation analysis and bibliographic coupling with network visualization. Results show how research on corporate reputation is embedded in the broader field of scholarship on reputation in general. When zooming into the publication cluster on corporate reputation more closely, the concept’s origins in economics, organizational studies, and marketing as well as corresponding theoretical and methodological disc...
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Authors: Taecharungroj, Viriya; Advisor: -; Participants: Muthuta, Morakot; Boonchaiyapruek, Pheereeya (2019) - A number of cities and towns have used sustainability as a brand position, but most appear to have focused on the environmental aspect of sustainability, while the adoption of other dimensions of sustainability, including social and economic, has been limited. The objective of this study is to create a branding tool that can help towns develop a brand position that is credible, drives growth, involves residents and fosters sustainability. This sustainable place branding analysis was adapted from the importance–performance analysis widely used in business and in the tourism industry. The data were collected from the residents of ten towns in the vicinity of Bangkok, Thailand. The tool provides mayors with a holistic analysis of
sustainability, suggests dimensions to be considered i...
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Authors: Chen, Jinran; Advisor: -; Participants: Xie, Lijuan (2019) - Industrial policy is an important means for governments to promote industrial development and accelerate economic growth. This paper mainly uses the Chinese Law and Regulation Database as the source of the relevant laws and regulations of China’s industrial policies from 2003 to 2015. On this basis, it empirically examines the impact of industrial policies on economic growth. The study finds that China’s industrial policy has significant positive effects on economic growth and that industrial structure rationalization is an important channel of industrial policy to improve economic growth. The findings are also valid under a series of robustness tests and endogenous corrections. The results of heterogeneity tests confirm that there are heterogeneous effects pertaining to industrial ...
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Authors: Maiti, Moinakf; Advisor: -; Participants: - (2019) - -
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Authors: Roetzel, Peter Gordon; Advisor: -; Participants: - (2019) - In the light of the information age, information overload research in new areas (e.g., social media, virtual collaboration) rises rapidly in many fields of research in business administration with a variety of methods and subjects. This review article analyzes the development of information overload literature in business administration and related interdisciplinary fields and provides a comprehensive and overarching overview using a bibliometric literature analysis combined with a snowball sampling approach. For the last decade, this article reveals research directions and bridges of literature in a wide range of fields of business administration (e.g., accounting, finance, health management, human resources, innovation management, international management, information systems, marketi...
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Authors: Ha ¨ ckel, Bjo ¨ rn; Advisor: -; Participants: Ha ¨ nsch, Florian; Hertel, Michael; U ¨ belho ¨ r, Jochen (2019) - Emerging smart manufacturing technologies combine physical production networks with digital IT systems, resulting in complex smart factory networks, which are especially vulnerable to IT security risks, such as IT component nonavailabilities. Companies must employ extensive IT security measures to secure their production facilities. However, complex network structures and inherent dependencies of smart factory networks complicate corresponding investment decisions and increase the need for appropriate decision support. We develop a risk
assessment model that supports companies in the investment decision-making process regarding IT security measures by identifying and evaluating the most critical areas of the information network while considering the underlying production network. F...
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Authors: Bekele, Wondesen Teshome; Advisor: -; Participants: Mersha, Fekadu Gelaw (2019) - -
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Authors: Schwarz, Karsten; Advisor: -; Participants: Ro ¨ mer, Michael; Mellouli, Taı ¨ eb (2019) - Facing economic pressure and case-based compensation systems, hospitals strive for effectively planning patient hospitalization and making efficient use of their resources. To support this endeavor, this paper proposes a flexible hierarchical mixed-integer linear programming (MILP)-based approach for the day-level scheduling of clinical pathways (CP). CP form sequences of ward stays and treatments to be performed during a patient’s hospitalization under consideration of all relevant resources such as beds, operating rooms and clinical staff. Since in most hospitals CP-related information needed for planning is not readily available, we propose a data-driven approach in which the structure of the CP to be scheduled including all CP-related constraints is automatically extracted from st...
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Authors: Benda, Frank; Advisor: -; Participants: Braune, Roland; Doerner, Karl F.; Hartl, Richard F. (2019) - In proposing a machine learning approach for a flow shop scheduling problem with alternative resources, sequence-dependent setup times, and blocking, this paper seeks to generate a tree-based priority rule in terms of a well-performing decision tree (DT) for dispatching jobs. Furthermore, generating a generic DT and RF that yields competitive results for instance scenarios that structurally differ from the training instances was another goal of our research. The proposed DT relies on high quality solutions, obtained using a constraint programming (CP) formulation. Novel aspects include a unified representation of job sequencing and machine assignment decisions, as well as the generation of random forests (RF) to counteract overfitting behaviour. To show the performance of the proposed ...
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