Essays on Dynamic Capabilities in Digital Business Transformation, Digital Strategy Disclosures, and Automated Textual Analysis in Firm's Capital Market Communication PDF Download
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Author: Mona-Lisa Pickel
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Mona-Lisa Pickel
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Daniel R. A. Schallmo
Publisher: Springer Nature
ISBN: 3031478886
Category : Communication
Languages : en
Pages : 205
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Book Description
In an era marked by relentless digital disruption, where every interaction - whether it's a click, a tap, or a swipe - shapes the structure of our interconnected world, the need for transformative action becomes notably clear. This collection brings together a dynamic compilation of insights, carefully selected from leading experts in the field, ready to navigate the uncharted waters of this digital revolution. The collection comprises submissions from two ISPIM (International Society for Professional Innovation Management) events, along with additional contributions. It offers an extensive view that encompasses the various challenges and opportunities brought about by the tumultuous waves of digital disruption and transformation, spanning a wide range of aspects in contemporary business and society. The primary aim of this collection is to emphasize the idea that the emerging global digital economy urgently requires a comprehensive perspective on digitalization, making it central for all institutions. Contributions in this collection shed light on important subjects, including, but not limited to, The Evolution of Digital Transformation, Skills and Knowledge Requirements in the Era of Digital Transformations, and Data-Driven Foresight. Within the boundaries of this scholarly endeavor, a deep understanding of the intricate network of digitalization and its consequences is nurtured. As the relentless surge of digitalization continues, this collection serves as an invaluable guide for discerning scholars and practitioners alike, inviting them to navigate this transformative period with wisdom and expertise. .
Author: Rocco Agrifoglio
Publisher: Springer Nature
ISBN: 3030473554
Category : Computers
Languages : en
Pages : 338
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Book Description
The recent surge of interest in “digital transformation” is changing the business landscape and posing several challenges, both organizational and sectoral. This transformation involves the application of digital technology in all aspects of business, and enables organizations to create new products and services, and to find more efficient ways of doing business. Moreover, the digital transformation is happening within and across organizations of all types and in every industry, producing a disruptive innovation that can break down the barriers between people and organizations, and help create more adaptive processes. In the information age, it is imperative for organizations to develop IT-related capabilities that allow them to leverage the potential of digital technologies. Due to the pervasive effects of this transformation on processes, firms and industries, both scholars and practitioners are interested in better understanding the key mechanisms behind the emergence and evolution of the digital business transformation. This book presents a collection of research papers focusing on the relationships between technologies (e.g., digital platforms, AI, blockchain, etc.), processes (e.g., decision-making, co-creation, financial, compliance, etc.), and organizations (e.g., smart organizations, digital ecosystems, Industry 4.0, collaborative networked organizations, etc.), which have been categorized into three major areas: organizing, managing and controlling. It also provides critical insights into how the digital transformation is enhancing organizational processes and firms’ performance through an exploration and exploitation of internal resources, and through the establishment of external connections and linkages. The plurality of views offered makes this book particularly relevant for users, companies, scientists, and governments. The content of the book is based on a selection of the best papers (original double-blind peer-reviewed contributions) presented at the annual conference of the Italian chapter of the AIS, which was held in Naples, Italy in September 2019.
Author: Milena Ratajczak-Mrozek
Publisher: Springer Nature
ISBN: 3030833607
Category : Business & Economics
Languages : en
Pages : 327
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Book Description
This book explores how digitalization and digital technologies influence markets, firms, financial institutions and organizations. Drawing on examples from Canada, Poland, France, Albania, Africa and Turkey this book takes a truly international perspective. It explores the technical aspects of digitalization, with chapters examining topics like how digitization creates value in a small company, how digital-driven business drives innovation, how import-exporting firms can increase productivity within the digital economy and how financial systems and institutions evolve due to new technologies. However, the book goes beyond this and, by adopting a holistic view, examines the social impact of digitalization, with the authors discussing how trade unions and employers present Industry 4.0 to employees and the general public. This book will be of interest to anyone studying digital innovation, digital management, digital strategy, Fin Tech, firm management, and Industry 4.0. Chapter 1 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author: Saskia Jarick
Publisher: GRIN Verlag
ISBN: 3640956222
Category : Business & Economics
Languages : en
Pages : 42
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Book Description
Seminar paper from the year 2011 in the subject Business economics - Accounting and Taxes, grade: 1.3, University of Mannheim, language: English, abstract: Each year, firms disclose information that is analyzed and eventually reflected in the market price. Sources of information are for example annual reports, earnings announcements and press releases. In the past, financial accounting research focused primarily on the numerical financial information disclosed (cf. Hales et al. 2011, 224).1 Interestingly, research showed that asset price movements could only partly be explained by this quantitative information and thus must have additional influencing factors (cf. Demers/Vega 2010, 2). Since corporate disclosure generally consists only to a small fraction of qualitative data and dominantly of textual information (cf. Li 2011, 1)2, and since language is the natural medium through which people communicate, financial accounting research started to focus on the analysis of textual disclosure (cf. Hales et al. 2011, 224). Results of these studies show that different aspects of textual disclosure, like the tone (how information is written/expressed) or the readability can influence for example market prices or analyst behavior (e.g. Li 2010 or Tetlock/Saar-Tsechansky/Macskassy 2008). This paper focuses on research in the field of tone as important characteristic of corporate textual disclosure. Its aim is to provide an overview about the most recent approaches and about challenges that researchers face. The remainder of this paper proceeds as follows. In section 2 the importance of textual analysis and the information content of textual information are discussed. Furthermore this section provides an overview about different approaches to characterize textual disclosure and a tabular classification of the recent literature. Since this paper focuses on the tone of textual disclosure, different approaches to measure tone are discussed as well. In section 3 two recent studies are discussed and section 4 concludes with a summary of the main results of this paper and gives suggestions for future research.
Author: Babu George
Publisher: Springer Nature
ISBN: 3030082776
Category : Business & Economics
Languages : en
Pages : 306
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Book Description
The digital traces that people leave behind as they conduct their daily lives provide a powerful resource for businesses to better understand the dynamics of an otherwise chaotic society. Digital technologies have become omnipresent in our lives and we still do not fully know how to make the best use of the data these technologies could harness. Businesses leveraging big data appropriately could definitely gain a sustainable competitive advantage. With a balanced mix of texts and cases, this book discusses a variety of digital technologies and how they transform people and organizations. It offers a debate on the societal consequences of the yet unfolding technological revolution and proposes alternatives for harnessing disruptive technologies for the greater benefit of all. This book will have wide appeal to academics in technology management, strategy, marketing, and human resource management.
Author: Babu George
Publisher: Palgrave Macmillan
ISBN: 9783030082765
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
The digital traces that people leave behind as they conduct their daily lives provide a powerful resource for businesses to better understand the dynamics of an otherwise chaotic society. Digital technologies have become omnipresent in our lives and we still do not fully know how to make the best use of the data these technologies could harness. Businesses leveraging big data appropriately could definitely gain a sustainable competitive advantage. With a balanced mix of texts and cases, this book discusses a variety of digital technologies and how they transform people and organizations. It offers a debate on the societal consequences of the yet unfolding technological revolution and proposes alternatives for harnessing disruptive technologies for the greater benefit of all. This book will have wide appeal to academics in technology management, strategy, marketing, and human resource management.
Author: Nripendra P. Rana
Publisher: Springer Nature
ISBN: 3030243745
Category : Business & Economics
Languages : en
Pages : 337
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Book Description
This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.
Author: Mingwen Yang
Publisher:
ISBN:
Category : Consumer complaints
Languages : en
Pages :
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Book Description
My dissertation provides prescriptive solutions and managerial implications for three novel operational and strategic challenges faced by firms or platforms in online business. The first problem arises from the need to manage online customer opinions. Online review platforms such as Expedia.com and Tripadvisor.com allow firms to respond to customer complaints. However firms need to carefully decide when to respond to negative reviews. To unravel the underlying mechanics of the problem, I develop a stochastic differential equation model (SDE) that describes the evolution of review ratings over time for a given response strategy employed by the firm. This model is validated using data on online customer reviews and firm responses from two of the world’s largest online travel agents. My approach is not just predictive, but more importantly one that can be used in a prescriptive sense, namely, to prescribe a response strategy that controls review ratings in a desired manner. I operationalize the theoretical response strategy in the stochastic model to an operational prescription that a firm can implement and show the applicability of the approach for different business objectives, such as Mean control, Mean-Variance control, and Service-Level control. Finally, I demonstrate the flexibility of the SDE model by extending it to encompass multiple state variables. The second problem extends the idea of online reputation management to competitive settings. I consider a market consisting of competing firms that participate in a platform such as Expedia or Yelp. Each firm exerts effort to improve its ratings, but in doing so, also influences the mean market rating. The sales of a firm are influenced by its own ratings and the mean rating of the firms in the market. An equilibrium analysis of the mean market rating reveals several insights. A more heterogeneous market (one where the parameters of the firms are very different) leads to a lower mean market rating and higher total profit of the firms in the market. The results can inform platforms to target certain firms to join: Growing the middle of the market (firms with average ratings) is the best option considering the goals of the platform (increase total profit of the firms) and the other stakeholders, namely, incumbents and consumers. For firms, I find that a firm’s profit can increase from an adverse event (such as, a reduction in sales margin, or an increase in the cost of control) depending on how other firms in the market are affected by the event. The findings are particularly significant for platform owners who could benefit from growing the platform in a strategic manner. The third problem addresses a novel Financial Technology (Fintech) phenomenon in social trading. In social trading, less experienced investors (followers) are allowed to copy the trades of experts (traders) in real-time after paying a following fee. This raises the transparency revenue tension: a dilemma between the need to release trading information transparently versus the risk of followers free riding on such information. I demonstrate the tension using data from a leading social trading platform operating in the Foreign Exchange market. An optimization model is developed to maximize information transparency while respecting a money-at-risk constraint. The performances of three information release policies are compared. Finally, I optimize platform revenue using an optimal release policy.
Author: Zhijin Zhou
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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The rapid advancements of digital technologies have fostered transformation of various online and offline environments, which in turn created opportunities and challenges on modern management and decision-making strategies. In this dissertation, I examine three areas that are subject to the impact of such transformation, using evidence-based inference and optimization approaches to gain insights and enhance decision-making quality. The first essay examines individual investors' learning in crowdfunded supply chain finance (SCF) markets under the unique presence of loan guarantors in the financing process. My estimation results confirm the existence of investor learning. In addition, I observe that this latent perception has different moderating effects on investor responses to listing attributes, such as interest rate and loan duration. Counterfactual simulations suggest that enabling investor learning from correlated investment experience can help mitigate adverse selection and improve overall market efficiency; for supply chain members, optimizing the structure of loan listings could accelerate investor learning, which in turn can help simulate fundraising performance as a desirable outcome of reputation building. The second essay investigates the effect of scarcity-Induced demand on the crowdfunding market. Using a hierarchical Bayesian framework, this essay empirically validates the positive effect of the scarcity strategy in the crowdfunding market; Interestingly, my mechanism analysis reveals that individual backers are more susceptible to demand-induced scarcity: given the relative scarcity level, individuals are more attracted to invest in rewards that achieve this scarcity due to excess demand rather than limited supply. In my third essay, I use data-driven analytics to facilitate medical decision-making based on electronic medical records (EMRs). Specifically, I consider the problem of designing personalized treatment recommendations for patients with multiple myeloma, which is the second most common blood cancer in the United States. Using clinical data with patients' cytogenetics information, this essay formulates the treatment recommendation problem as a multilevel Bayesian contextual bandit, which sequentially selects treatments based on contextual information about patients and therapies, with the goal of maximizing overall survival outcomes. I also propose a causal offline evaluation framework which integrates the structural econometric model into bandit optimization and generates counterfactuals for policy evaluation. This novel framework provides reliable performance measures when field experiment or long log data are not available. Compared with clinical practices and benchmark strategies, my method suggests a rise in overall survival outcomes, with higher improvement for aging or high-risk patients with more complications.
