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Diginomics Working Paper
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2701-6307
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Item-typ:Veröffentlichung, Social media analytics in operations and supply chain management: Opportunities, challenges and paradoxes(2022-06-20); ; Industrial and academic communities in the field of operations and supply chain management (OSCM) have been paying increasing attention to social media analytics (SMA). However, the disparity of social media has inspired new ways of thinking about how data are produced, organized and analyzed. This chapter addresses how OSCM is affected by this disparity and provides an overview of SMA use, applications and challenges in the domain. A directed content analysis of current, application-oriented research is carried out to review SMA in OSCM from a signaling theory perspective. In particular, we shed light on data sources, opportunities, challenges, paradoxes and current managerial issues and seek to inform research practices and policy in order to advance operations and supply chain management research. The chapter contributes to the understanding of SMA in OSCM by identifying a set of paradoxes and challenges that have not previously been identified in OSCM research. By relating SMA to social media data sources and OSCM activities, it shed light on preferred sources and application scenarios and discusses the imponderables of social media signal processing in OSCM.BerichtBand:0018428 844 - Some of the metrics are blocked by yourconsent settings
Item-typ:Veröffentlichung, Digital Transformation of Maritime Supply Chains Focusing on Ocean Shipping, Port Management and Hinterland Connection(2022-06-08); For many years, shipping companies, terminal operators, port industry actors and logistics service providers have been successfully engaged in innovating their assets, processes and business activities. The best-known key innovation is the introduction of the standardized container. This innovation has been the basis for other innovations such as supply chain management, just-in-time delivery, port integration, ship size development and linked hinterland connections. The business world is abuzz with talk about automation, self-control, cloud logistics, electrification, green processes and dematerialization. However, the most important key innovation now and for the foreseeable future is related to digitalization and digital transformation of business activities. Digital transformation is widely understood as the process of implementing digital technologies and supporting capabilities to create digital business models. In this context, a rethinking of previous approaches to communication, coordination and cooperation between stakeholders along the supply chain is appropriate and necessary. The purpose of the present chapter is to reflect the opportunities and challenges related to this digital transformation, focusing on ocean shipping, port management and hinterland connectivity. This chapter aims to identify and characterize expectations, opportunities and peculiarities of this transformation, and to sketch a picture of the future. Particular attention is given to the influence of digital gaps, cultural differences and the power of data.BerichtBand:0017434 727 - Some of the metrics are blocked by yourconsent settings
Item-typ:Veröffentlichung, Artificial Intelligence, Surveillance, and Big Data(2022-05-30); ; The most important resource to improve technologies in the field of artificial intelligence is data. Two types of policies are crucial in this respect: privacy and data-sharing regulations, and the use of surveillance technologies for policing. Both types of policies vary substantially across countries and political regimes. This chapter examines how authoritarian and democratic political institutions can influence the quality of research in artificial intelligence, and the availability of large-scale datasets to improve and train deep learning algorithms. We focus mainly on the case of China, and find that – ceteris paribus – authoritarian political institutions continue to have a negative effect on innovation. They can, however, have a positive effect on research in deep learning, via the availability of large-scale datasets that have been obtained through government surveillance. We propose a research agenda to study which of the two effects might dominate in a race for leadership in artificial intelligence between countries with different political institutions, such as the United States and China.BerichtBand:0016312 672 - Some of the metrics are blocked by yourconsent settings
Item-typ:Veröffentlichung, Asset Pricing in Digital Assets(2022-05-16); ; Digital assets are continually evolving into a “mainstream” asset class. Institutional interest is growing every day, with the market capitalization of digital assets rising in value and importance not only for retail investors, but also for global banks, hedge funds and regulators. This chapter provides an overview for interested readers of how digital assets compare to traditional asset classes, how a blockchain works, and an assessment of whether academic research has uncovered first trading strategies and other relevant findings in this emergent asset class of virtual tokens.BerichtBand:0015412 1604 - Some of the metrics are blocked by yourconsent settings
Item-typ:Veröffentlichung, Machine Learning in Accounting Research(2022-04-26); ; ; We present a compact overview of machine learning applications in financial accounting and audit research as well as management accounting research. Here, the application of machine learning has the potential to provide novel insights into empirical data and to improve predictive performance. We highlight the potential use of deep learning to process unstructured and structured data more efficiently and a greater focus on model interpretability as viable opportunities for future research.BerichtBand:0014471 1092 - Some of the metrics are blocked by yourconsent settings
Item-typ:Veröffentlichung, Social Media Marketing for Equity Crowdfunding: Which Posts Trigger Investment Decisions?(2022-04-05); ; Based on 26,883 investment decisions, we examine the influence of social media marketing on crowd participation in equity crowdfunding. We distinguish between different types of informative and persuasive posts on Facebook and Twitter. Informative posts provide investors with information about the crowdfunding campaign; persuasive posts do not, but rather aim to directly influence an investor’s decision-making process. We find that both types of posts have a positive impact on the number of investments. However, persuasive posts also increase the amount of an investment if they contain a statement about the previous investment success of the campaign and signal the crowd that they are not investing alone.BerichtBand:0013290 729 - Some of the metrics are blocked by yourconsent settings
Item-typ:Veröffentlichung, Digital Dark Nudges(2022-03-23); Manipulative product and interface designs known as digital “dark nudges” have become a common phenomenon in the digital economy. This chapter investigates the behavioral science background and the main problem areas of such unethical online business practices. We also show the limits of the existing statutory framework for combating digital dark nudges. The chapter concludes by discussing potential private and statutory remedies to address dark nudges in the digital economy.BerichtBand:0012493 835 - Some of the metrics are blocked by yourconsent settings
Item-typ:Veröffentlichung, Virtual Business Incubators: A Support for Entrepreneurship in Rural Areas?(2022-03-17); ; This chapter examines the lack of entrepreneurial resources for venture development in rural regions and presents a study of how virtual business incubators (VBIs) can fill this gap and support rural entrepreneurial activities. The authors employ a single case study approach in which the empirical data builds on six interviews conducted with rural entrepreneurs and managers of VBIs. The data collection and data analysis follow the grounded theory approach set forth by Charmaz (2014). The main contribution of this research is the application of the VBI concept in the rural entrepreneurship context, with the aim of overcoming the challenges inherent to this context while conserving its benefits.BerichtBand:0011425 835 - Some of the metrics are blocked by yourconsent settings
Item-typ:Veröffentlichung, Marketing in a Digital World(2022-03-02); ; ; ; Over the course of digitization, many innovative marketing technologies have emerged that – theoretically speaking – promise firms gains in efficiency and/or effectiveness. However, a central task for marketing is not to allow the use of these technologies to become an end in itself, but to preserve the guiding principle of marketing, namely customer orientation. This means that the new technologies only offer added value for firms if they also offer (perceived) added value for consumers. Using three specific application areas as examples (chatbots, voice assistants and data privacy management), we show how firms can combine innovative marketing technologies and consumer interests in a purposeful manner.BerichtBand:0010520 546 - Some of the metrics are blocked by yourconsent settings
Item-typ:Veröffentlichung, HumanRoboLab: experiments with chatbots in management education at universities(2022-02-19); Digital dialogue systems, known as “chatbots,” are an application sub-area in automation which is increasingly used in both work and business contexts. The growing use, functionality and benefits of chatbots are therefore also of interest for university teaching in economics. Students at the University of Bremenʼs Department of Economics are developing their own transdisciplinary chatbot project. Working together with partners from different companies within the framework of the HumanRoboLab (HRL), they explore human–machine interaction from an applicationoriented perspective. The main objective of the HRL is to test a didactic concept for transdisciplinary human–machine interaction projects in order to subsequently integrate this concept into business studies and business psychology degree programs. The purpose of such a module is to provide students without prior experience in programming with the knowledge, tools and competences to research, apply and question AI technologies in a self-effective manner; in other words, the HRL aims to help students develop expertise with regard to digitization, benefiting them in both social and economic contexts. The concept of the HRL, as well as some examples of the projects and the role of AI, are outlined in this chapter in order to provide a template for university teachers who might wish to adapt these concepts.BerichtBand:0009425 601