83 research outputs found

    an important partnership for decades

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    Graesch, J. P., Hensel-Börner, S., & Henseler, J. (2021). Information technology and marketing: an important partnership for decades. Industrial Management and Data Systems, 121(1), 123-157. https://doi.org/10.1108/IMDS-08-2020-0510Purpose: The enabling technologies that emerged from information technology (IT) have had a considerable influence upon the development of marketing tools, and marketing has become digitalized by adopting these technologies over time. The purpose of this paper is to demonstrate the impacts of these enabling technologies on marketing tools in the past and present and to demonstrate their potential future. Furthermore, it provides guidance about the digital transformation occurring in marketing and the need to align of marketing and IT. Design/methodology/approach: This study demonstrates the impact of enabling technologies on the subsequent marketing tools developed through a content analysis of information systems and marketing conference proceedings. It offers a fresh look at marketing's digital transformation over the last 40 years. Moreover, it initially applies the findings to a general digital transformation model from another field to verify its presence in marketing. Findings: This paper identifies four eras within the digital marketing evolution and reveals insights into a potential fifth era. This chronological structure verifies the impact of IT on marketing tools and accordingly the digital transformation within marketing. IT has made digital marketing tools possible in all four digital transformation levers: automation, customer interaction, connectivity and data. Practical implications: The sequencing of enabling technologies and subsequent marketing tools demonstrates the need to align marketing and IT to design new marketing tools that can be applied to customer interactions and be used to foster marketing control. Originality/value: This study is the first to apply the digital transformation levers, namely, automation, customer interaction, connectivity and data, to the marketing discipline and contribute new insights by demonstrating the chronological development of digital transformation in marketing.authorsversionpublishe

    CITIZEN PARTICIPATION IN INCREASINGLY DIGITALIZED GOVERNMENTAL ENVIRONMENTS – A SYSTEMATIC LITERATURE REVIEW

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    Citizen participation in increasingly digitalized governmental environments can introduce fruitful capabilities to encourage citizens to engage in municipal affairs and through this take actively part in fostering smart cities’ effectiveness. However, the practical exploitation of recent knowledge is still not sufficiently operationalized, whilst research in this field yields various approaches focusing on diverse emphases. Therefore, the necessity of systematically collecting and afterwards analysing the existing literature towards this topic is obvious. This paper depicts a proceeding to systematically review the available literature towards the relevant research units on citizen participation. Overall, 48 topic-based papers were identified out of leading journals and conference papers about information systems. The main findings of the relevant papers were assessed to a proposed analytical framework consisting of increasing participation stages and two distinct focus groups namely government and citizens. Accordingly, the covered recent focus areas of research are identified to reveal where state-of-the-art research falls short. Consequently, the imperative of emphasising investigation regarding concepts for ICT-enabled services focusing the empowerment of citizens arises as being our contribution for guiding future research, whilst governments can practically benefit from the composed framework by using it for classifying, planning and implementing proposed participation activities

    The (Lacking) User Adoption of COVID-19 Contact Tracing Apps – Insights from Switzerland and Germany

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    COVID-19 contact tracing apps are one of the best tools we currently have available to avoid a potential second wave of COVID-19. However, sufficient critical mass in terms of uptake is required for these apps to be effective. Given the low adoption rate, a better understanding of the users\u27 perspective is important to define measures to drive their adoption. Building on the privacy calculus, this study analyses the adoption of COVID-19 apps as a benefit-risk trade-off and provides empirical insights for Germany and Switzerland, which have been among the more successful adopters. Interestingly, we find many commonalities between both countries, which may be explained by their geographic and cultural proximity, but also with the similarities in app design and launch. However, we observe significant differences in benefit and risk perception between different groups of the population, which we classify as advocates, critics, and undecided. The findings reveal that all groups recognize the benefits of COVID-19 apps and confirm that reservations about privacy are the biggest hurdle to uptake. For the undecided and critics, our empirical data also confirms the privacy paradox, i.e. the differences between general attitudes and concrete behaviour

    Is it COVID or a Cold? An Investigation of the Role of Social Presence, Trust, and Persuasiveness for Users\u27 Intention to Comply with COVID-19 Chatbots

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    The COVID-19 pandemic challenged the existing healthcare system by demanding potential patients to self-diagnose and self-test a potential virus contraction. In this process, some individuals need help and guidance. However, the previous modus-operandi to go to a physician is no longer viable because of the limited capacity and danger of spreading the virus. Hence, digital means had to be developed to help and inform individuals at home, such as conversational agents (CA). The human-like design and perceived social presence of such a CA are central to attaining users’ compliance. Against this background, we surveyed 174 users of a commercial COVID-19 chatbot to investigate the role of perceived social presence. Our results provide support that the perceived social presence of chatbots leads to higher levels of trust, which are a driver of compliance. In contrast, perceived persuasiveness seems to have no significant effect

    Algorithms as a Manager: A Critical Literature Review of Algorithm Management

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    We review the literature on algorithmic management to help future researchers acquire a comprehensive recap of past research with detailed discussions on the main findings and develop a taxonomy as a tool of summarization that assists researchers in reflecting critically on their systems and identifying potential gaps. We determine five critical areas of algorithmic management: the mechanisms of algorithmic management, effects of algorithmic management, second party\u27s response to algorithmic management, concerns around algorithmic management, design of algorithmic management, and policy implications. These topics are analyzed and discussed

    Managing Digital Transformation of Pre-Digital Organizations

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    Modeling styles in conceptual data modeling: Reflecting observations in a series of multimodal studies

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    A modeling style characterizes a modeler’s sequencing of processing a modeling task in terms of applying the modeling language and its language concepts while constructing a conceptual model. Presently, surprisingly little is known about the different modeling styles modelers exhibit when performing conceptual data modeling. In this research, we combine complementary modes of observation including audio-visual protocols, recorded modeler-tool interactions, and pre-/post-modeling surveys of modelers to identify modeling styles in 24 data modeling processes performed by modelers at different stages of experience in data modeling. Our study identifies and characterizes three distinct modeling styles refining our current knowledge about data modeling processes and informing design science research on style-specific, targeted modeling (software tool) support for data modelers

    Blockchain Application in Information Systems Research

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    Blockchain is a radical innovation with a core value proposition of shifting trust from institutions towards algorithms. Still, the potential of Blockchains remains vague due to the knowledge gap between computer science and socio-economic activities. Ninety percent of current Blockchain projects did not move from ideas to production-ready prototypes. Researchers and practitioners are searching for the meaningful leveraging of Blockchains for value creation. This dissertation aims to bridge the gap between technical and managerial knowledge of Blockchain that allows successful Blockchain system design and implementation. Therefore, the objective of the project is to identify the scope of Blockchain applications and introduce guidelines to make purposeful decisions of Blockchain implementations. The dissertation project covers four research questions. First, I consolidated knowledge of Blockchain technical configurations through the development of a taxonomy. Second, I considered the design patterns of smart contracts that represent the application logic of Blockchain systems. Third, I offered guidance for transforming initial conceptions of Blockchain ideas into working system prototypes by introducing a Blockchain configuration process model. Fourth, I investigated the common factors of Blockchain decisions to evaluate Blockchain implementations in the form of the framework. I employed a Design Science Research approach to developing four artefacts. The first three artefacts consider technical, application, and organizational aspects of Blockchain. The synergy reflects in the fourth, combinational artefact, which employs the high-level factors of Blockchain decisions. During the project, I have investigated the scientific and business studies, run Blockchain-based applications, conduct interviews, and evaluate the findings on Blockchain projects. The dissertation project contributes to research by bridging knowledge gaps between computer science and socio-economic research on a Blockchain that provides a fruitful ground for future conceptual and empirical studies. For practitioners, the developed artefacts are useful to identify and guide Blockchain projects that facilitate purposeful Blockchain adoption
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