93 research outputs found

    Technical, Strategic, and Cultural Bottlenecks of Born-Global-Digital Firms

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    A born-global-digital firm belongs to the group of firms that apply and develop digital technologies to achieve early internationalization. However, there might be different types of bottlenecks related to foreign market entries and the development of digital services affecting those markets that limit such firms’ global activities. In this work, we divide these bottlenecks into technical, strategic, and cultural forms. This multi-case study examines the impact of those bottlenecks and how that might be overcome. We provide practical and theoretical alternatives to bypass the impediments created by the bottlenecks

    Theoretical Backbone of Library and Information Science: A Quest

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    This study primarily aims to identify unique theories and specific uses of theories in the library and information science (LIS) domain. It provides a comprehensive list of the theories used in LIS journal articles indexed by Scopus (an abstract and citation database) from 1970–2021. It expands on the most common theories and highlights the areas and purposes for which used theories in the LIS domain. Our goal is to demonstrate the usages and applications of various borrowed theories from complementary disciplines in the LIS domain. A systematical methodology is applied, following a few open-source AI-based software packages (such as ASReview, and OpenRefine), to analyse the theories against different parameters, keeping in mind the drawbacks of the previous studies. The study's findings show that the LIS domain's theoretical foundations are understudied. Researchers mainly borrowed theories from social sciences such as sociology, psychology, and management studies to solidify their domain. The paper provides a clear road map for the theoretical development of LIS research. And the resulting outputs may help policymakers, academicians, and researchers, irrespective of disciplines in general and information science in particular, understand the foundations and theoretical and methodological trends of theories that may lead to a better understanding of the theories before their selection and applications

    Monitoring Collective Intelligence in Lithuania’s Online Communities

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    This paper presents the findings of a systematic survey that evaluated the potential of online communities (or Civic Tech) in Lithuania to co-create collective intelligence. Traditional approaches to public engagement remain relevant, notwithstanding, our enquiry is more interested in the growing potential of digital-enabled citizens to increase efficient collective performance. Civic intelligence is a form of collective intelligence exercised by a group’s capacity to perceive societal problems and its ability to address them effectively. The subject of the research is “bottom up” digital-enabled online platforms initiated by Lithuanian public organizations, civic movements and/or business entities. This scientific project advances our understanding about the basic preconditions in online communities through which collective intelligence is being systematically co-created. By monitoring the performance of Civic Tech platforms, the scientific question was examined, what are the socio-technological conditions that led the communities to become more intelligent. The results of web-based monitoring were obtained by applying Collective intelligence Monitoring technique and Pearson correlation analysis. This provided information about the potential and limits of online communities, and what changes may be needed to overcome such limitations

    Understanding Customer Switching Behaviour in the Retail Banking Sector: The Case of Nigeria and the Gambia

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    This thesis examines customer switching behaviour in Nigeria and Gambia, focusing on the retail banking sector. The study’s key objective is to provide new knowledge on customer banking behaviour in the retail banking sector. The study is grounded in Bansal et al.’s (2005) push-pull-mooring model. A qualitative method was employed in the data collection, incorporating a triangulation approach, whereby direct observations were combined with thematic interviews and focus group discussions. The intention behind this method was to increase the validity of the research results. Ultimately, the study findings indicate significant factors and subfactors influencing customer switching behaviour in the retail banking sector. The results are categorised as push, pull, or mooring factors. It identifies seven push factors with thirteen subfactors, four pull factors with ten subfactors, and six mooring factors with three subfactors. The study’s significant contribution to existing knowledge of services marketing is the identification of new and emerging constructs, thus extending the existing knowledge in the literature. The study’s findings support numerous results of prior relevant research, while some findings disagree with those of previous research. Furthermore, the new constructs that emerge from this research are highly relevant to today’s consumers. For example, factors like banking products, perceived knowledge of banking products, perceived relative security of banking products, satisfaction with the current bank, emotions (e.g., regret or anger), liquidity challenges, bank staff career development prospects, and ethical banking issues are the study’s unique contributions to the push factors and subfactors. In addition, the emerging pull factors and subfactors include technological advancement, coronavirus pandemic-induced switching, a bank’s physical appearance, positive banking expectations, a bank’s relative proximity, expected switching benefits, perceived usefulness of a bank’s digital platforms, perceived ease of banking transactions, personalised banking offerings, and repositioning banking business models. Lastly, the new mooring factors and subfactors identified in this study are inertia, changes in customer needs or tastes, involuntary switching, and bank responsiveness. Consequently, the author has developed a framework/model based on the findings of this study. The new framework/model presented comprehensive results with practical implications and a valuable contribution to the current knowledge of customer switching behaviour

    A Typology of Digital Offerings

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    This paper develops a typology of digital offerings to shed light on the distinct characteristics of this emerging digital phenomenon. Drawing on Roman contract law, the typology focuses on digital rights offered (selling, leasing, partnering, and agencing) and digital assets involved (tangible and intangible). These two dimensions lead to eight archetypes that we illustrate through the diverse Amazon portfolio of digital offerings. The typology sets out to shape the scholarly discourse around digital offering research and practice and to provide a foundation from which the characteristics and mechanisms of digital offering value appropriation can be further understood and operationalized. Ultimately, by rejecting the traditional service vs. product distinction and instead accounting for offering variations based on the intrinsic merits of digital offerings, we are embracing a digital terminology rather than attempting to transfer the terminology of the physical world to the digital realm

    Blockchain Value Creation Logics and Financial Returns

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    With its complexities and portfolio-nature, the advent of blockchain technology presents several use cases to stakeholders for business value appropriation and financial gains. This 3-essay dissertation focuses on three exemplars and research approaches to understanding the value creation logics of blockchain technology for financial gains. The first essay is a conceptual piece that explores five main affordances of blockchain technology and how these can be actualized and assimilated for business value. Based on the analysis of literature findings, an Affordance-Experimentation-Actualization-Assimilation (AEAA) model is proposed. The model suggests five affordance-to-assimilation value chains and eight value interdependencies that firms can leverage to optimize their value creation and capture during blockchain technology implementation. The second essay empirically examines the financial returns of public firms\u27 blockchain adoption investments at the level of the three main blockchain archetypes (private-permissioned, public-permissioned and permissionless. Drawing upon Fichman\u27s model of the option value of innovative IT platform investments, the study examines business value creation through firm blockchain strategy (i.e., archetype instances, decentralization, and complementarity), learning (i.e., blockchain patents and event participation), and bandwagon effects using quarterly data of firm archetype investments from 2015 to 2020. The study\u27s propensity score matching utilization and fixed-effects modeling provide objective quantification of how blockchain adoption leads to increases in firm value (performance measured by Tobin\u27s q) at the archetype level (permissionless, public permissioned, and private permissioned). Surprisingly, a more decentralized archetype and a second different archetype implementation are associated with a lower Tobin\u27s q. In addition, IT-option proxy parameters such as blockchain patent originality, participation in blockchain events, and network externality positively impact firm performance, whereas the effect of blockchain patents is negative. As the foremost and more established use case of blockchain technology whose business value is accessed in either of the five affordances and exemplifies a permissionless archetype for financial gains, bitcoin cryptocurrency behavior is studied through the lens of opinion leaders on Twitter. The third essay this relationship understands the hourly price returns and volatility shocks that sentiments from opinion leaders generate and vice-versa. With a dynamic opinion leader identification strategy, lexicon and rule-based sentiment analytics, I extract sentiments of the top ten per cent bitcoin opinion leaders\u27 tweets. Controlling for various economic indices and contextual factors, the study estimates a vector autoregression model (VAR) and finds that finds that Bitcoin return granger cause Polarity but the influence of sentiment subjectivity is marginal and only stronger on bitcoin price volatility. Several key implications for blockchain practitioners and financial stakeholders and suggestions for future research are discussed

    In NVivo Veritas: How Information Systems Increase the Flexibility and Relevance of Strategic Management Accounting

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    One of the key tasks for strategic management accountants is to estimate the size of the market in which their firm operates. For such an estimation to be correct, strategic management accountants need to have access to private information from the firm’s competitors. Such access is impossible since no competitor is willing to share internal documents, resulting in a problem of imperfect information. This problem hinders strategic management accountants’ efforts to perform their main tasks, forcing them to just approximate the size of their firms’ markets. In this paper we show how, by applying text analysis techniques to publicly available documents from their firm’s competitors, strategic management accountants can significantly increase the accuracy of their forecasts. This increased accuracy implies that the use of techniques from the Information Systems (IS) field can help mitigating the thus far unsolvable problem of imperfect information from which the strategic management accounting field has traditionally suffered

    Virtual teamwork in the context of technological and cultural transformation

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    Megatrends affect all individuals and organizations in our society. Mobility and flexibility are examples of megatrends that influence our everyday lives and also intensely alter the ways we work. The deployment of virtual teams meets the new chances emerging with these trends. Employees aspire to work virtually due to benefits, such as flexibility regarding the locations and hours for working. Organizations deploy virtual teams to remain competitive regarding new technological opportunities, employee retention and cost efficiency in an increasingly digital environment. Organizations can guide their change towards virtuality by building on the knowledge of practice as well as scientific insights regarding the deployment of virtual teams. In order to provide a holistic view on the structures and processes affected by such a change and thus provide guidance, a framework for analyzing and planning organizational change is adapted to virtual teamwork and presented in this paper. The framework shows that the deployment of virtual teams affects the whole organization. This comprehensive view on the implementation of virtual teamwork allows an integration of virtual teams and focusses on their performance. The adapted framework furthermore provides links for further in-depth research in this field

    Unpacking platform business scaling in the digital age

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    Today’s increasingly pervasive digital technologies have radically transformed the competition landscape of the business world. To succeed in the digital age, digital businesses must establish and strengthen their ecosystem positions through rapid scaling. While extant literature in platform ecosystems identified the urgency of scaling for focal platforms, there is little recognition that non-focal actors (i.e., complementors) typically pursue their own growth ambitions. If successful, these ambitions may even shift the complementor’s position as a non-focal to a focal actor in the digital ecosystem. While such a scaling process opens new possibilities for the complementor, it also challenges its relations with focal platforms in the ecosystem on which it depends. This is what we refer to as the complementor’s dilemma: how can a non-focal actor pursue growth ambitions while maintaining favourable relationships with the focal platforms on which they grow? To address this research problem, a sequential mixed-method project combining qualitative research approaches with computational techniques was conducted. Developing on an in-depth embedded case study of the Chinese short video platform Douyin from its inception as a complementor in 2016 to its rapid establishment as a focal actor in 2018, we further test and generalise the findings for the entire social networking ecosystem in China. This allows for new empirical and theoretical perspectives on the navigation process of digital business scaling through identity projection. The findings suggest that non-focal businesses must continually locate and re-locate who they are in the moment and the trade-off of two, or multiple, future scenarios regarding their relationship with focal platforms, to cope with the complementor’s dilemma as they grow. Four identity projection strategies are further conceptualised as a powerful toolkit for balancing growth ambitions and dependency on other ecosystem actors during the scaling process. These findings contribute to the platform literature by offering a process model for non-focal businesses’ identity projection as they grow in digital ecosystems. The model offers important implications for our understanding of complementarity as a dynamic process involving purposeful identity re-projection, as non-focal businesses attempt to navigate tensions with focal platforms in digital ecosystems during growth. It also contributes to our understanding of digital business scaling beyond a high-growth consequence of firm size — a turbulent, uncertain, messy process to economies of complementarity in digital ecosystems
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