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Number go up : inside Crypto's wild rise and staggering fall
\"In 2021 cryptocurrency went mainstream. Giant investment funds were buying it, celebrities like Tom Brady endorsed it, and TV ads hailed it as the future of money. Hardly anyone knew how it worked-but why bother with the particulars when everyone was making a fortune from Dogecoin, Shiba Inu, or some other bizarrely named \"digital asset\"? As he observed this frenzy, investigative reporter Zeke Faux had a nagging question: Was it all just a confidence game of epic proportions? What started as curiosity-with a dash of FOMO-would morph into a two-year, globe-spanning quest to understand the wizards behind the world's new financial machinery. Faux's investigation would lead him to a schlubby, frizzy-haired twenty-nine-year-old named Sam Bankman-Fried (SBF for short) and a host of other crypto scammers, utopians, and overnight billionaires. Faux follows the trail to a luxury resort in the Bahamas, where SBF boldly declares that he will use his crypto fortune to save the world. Faux talks his way onto the yacht of a former child actor turned crypto impresario and gains access to \"ApeFest,\" an elite party headlined by Snoop Dogg, by purchasing a $20,000 image of a cartoon monkey. In El Salvador, Faux learns what happens when a country wagers its treasury on Bitcoin, and in the Philippines, he stumbles upon a Pokémon knockoff mobile game touted by boosters as a cure for poverty. And in an astonishing development, a spam text leads Faux to Cambodia, where he uncovers a crypto-powered human-trafficking ring. When the bubble suddenly bursts in 2022, Faux brings readers inside SBF's penthouse as the fallen crypto king faces his imminent arrest. Fueled by the absurd details and authoritative reporting that earned Zeke Faux the accolade \"our great poet of crime\" (Money Stuff columnist Matt Levine), Number Go Up is the essential chronicle, by turns harrowing and uproarious, of a $3 trillion financial delusion\"-- Provided by publisher.
Book
Measuring digitalization: Key metrics
The article covers an analysis of metrics used to measure digitalization activities. Five main levels are analyzed - moving from the metrics of the digital economy to society, industry, enterprise, and clients. The study is based on leading public and commercial metrics used for the evaluation of the digital progress. The similarities and differences between key performance indicators on each level are discussed, forming a set of conclusions on the scope and maturity of various measurement systems and potential improvement options.
Journal Article
To invest or not to invest in digital initiatives? An exploratory examination of procedures, evaluation criteria and barriers
PurposeDue to the disruptive nature of digital transformation, firms can hardly ignore the further digitalisation of processes and business models. Implementing such initiatives triggers enormous investments in infrastructure and software, making the evaluation of digital investments crucial for a firm’s competitive situation.Design/methodology/approachGiven the dynamics and uncertainties inherent in digital transformation, a qualitative, inductive research approach based on semi-structured interviews with high-level finance executives has been employed.FindingsOur findings indicate widespread dissatisfaction with traditional investment appraisal methods for evaluating digital investments. Data also suggest that non-financial considerations are frequently taken into account, albeit implicitly, as participants struggled to clearly conceptualize these criteria.Originality/valueThe literature indicates important research gaps regarding the applicability and usage of traditional, predominantly financial, investment appraisal methods in digital contexts. This research enhances our understanding of digital investment evaluation, by (i) developing an exploratory conceptual framework of potential qualitative evaluation criteria and (ii) providing an in-depth and detailed understanding of the barriers to implementing investment appraisal methods.
Journal Article
Crypto investing guide : how to invest in Bitcoin, DeFi, NFTs, and more
\"What if we told you that one book could contain an entire education in crypto investing topics? Whether you're an uninitiated newbie or an established veteran, this book exists to help you get a profitable start as a new crypto investor. The committed reader will go on an educational journey that starts in the world of conventional finance before crossing the crypto bridge to go deep on crypto assets, decentralized finance, NFTs, and security token offerings. This book is your one-stop shop on building a deadly working knowledge of the crypto markets and our ideas on how to play them profitably. It's time for the wall of technical smoke and mirrors around crypto to come down, and this book represents an experienced technical team sharing its hard-won knowledge as accessible as possible. You don't need to be a math genius to invest in crypto successfully. But you do need a strong base of knowledge to work from. This book is your foundation\" -- Page [4] of cover.
Book
Digital investment, intellectual capital and enterprise value: evidence from China
PurposeBased on resource-based theory and intellectual capital theory, this paper aims to investigate the impact of digital investment on enterprise value and the mediating role of intellectual capital. Additionally, it explores the heterogeneous impacts of digital investment on enterprise value and intellectual capital.Design/methodology/approachThe study utilizes a sample of listed companies in Chinese A-shares from 2013 to 2020. The entropy-weighted method is applied to measure digital investment from two dimensions: scale and increment. Finally, the research hypotheses are tested through multiple regression analysis.FindingsThe empirical results demonstrate that digital investment significantly and positively impacts enterprise value. From the channel mechanism test, digital investment can enhance enterprise value by influencing intellectual capital through human, structural and relational capital. Of these, the mediating effect of human capital is the most significant. Moreover, the impacts of digital investment on enterprise value and intellectual capital are related to the industry sectors. In the agricultural sector, digital investment has adverse effects. In the industrial and service sectors, digital investment promotes intellectual capital and enterprise value. However, in the service sector, the impact on relational capital is not significant, and the mediating effect of relational capital does not hold.Research limitations/implicationsThis research has a limited potential for generalization due to the lack of standard measurement models for the exploration of digital investment.Practical implicationsThe research findings are valuable for assessing the economic effects of digital investment comprehensively and providing essential information for policy formulation and strategy implementation.Originality/valueThis study represents the first attempt to evaluate the relationship between digital investment and enterprise value using the entropy-weighted method. In addition, this study investigates the mediating role of intellectual capital.
Journal Article
Exploring Capabilities for Digital Transformation in the Business Context: Insight from a Systematic Literature Review
Digital transformation is considered a high-risk investment due to the fact that as much as 80% of its initiatives fail. To effectively manage and execute digital transformation, organizations must establish capabilities tailored to this process. Thus, this study aims to identify capabilities essential for digital transformation in the business context. A systematic literature review (SLR) was conducted following the PRISMA. An initial search across major academic databases yielded 542 articles. After applying inclusion and exclusion criteria, 43 relevant articles were selected for in-depth analysis. Descriptive, co-occurrence, and qualitative analyses were then applied. The findings reveal five core dimensions of digital transformation capability: digital dynamic capability, digital leadership capability, employee digital capability, digital technology and operational capability, and digital investment capability. These capabilities demonstrate that successful digital transformation depends not only on technology, but also on leadership, human capital, strategy, and investment that ensure resource readiness. This study contributes to digital transformation theory by identifying essential organizational capabilities and provides insights into how organizations can develop these capabilities to achieve successful digital transformation.
Journal Article
Driving SME Digital Transformation in Colombia: Analyzing Key Factors and Sustainable Development Goals (SDGs) Impact
This study identifies key factors influencing digitalization investment decisions in Colombian SMEs and their alignment with Sustainable Development Goals (SDGs). Analyzing 4,600 surveys from 2023, we employed multilayer perceptron Artificial Neural Networks with backpropagation algorithms for predictive modeling, supported by validation through confusion matrices and ROC curves (average AUC: 0.94). Results revealed the most significant predictors: understanding digitalization's possibilities and advantages (20.87%), employees using ICT (14.77%), average workforce size (10.68%), and e-commerce marketplace participation (7.32%). The study's originality lies in precisely quantifying each factor's relative importance, providing an empirical foundation for prioritizing digitalization initiatives, and analyzing strategic alignment with SDGs, particularly SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 12 (Responsible Consumption and Production). These methodologically robust findings offer valuable guidance for policymaking, business strategies, and interdisciplinary theoretical frameworks promoting sustainable digital transformation of Colombian SMEs within broader socioeconomic contexts, while addressing critical technological adoption barriers, enhancing regional competitive advantage, and establishing comprehensive implementation pathways for digital ecosystem development. These insights directly inform practical digitalization policies for SMEs by providing evidence-based prioritization of educational initiatives over direct technology investments, with significant implications for sustainable development and competitive advantage in emerging economies.
Journal Article
Digital Transformation and Manufacturing Firm Performance: Evidence from China
Based on the digital transformation practice of Chinese manufacturing enterprises, this paper sorts out the intrinsic mechanism of digital transformation affecting the performance of manufacturing enterprises systematically, based on the perspective of digital investment, and empirically tests the theoretical hypothesis using an unbalanced panel of China’s A-share listed manufacturing companies in Shanghai and Shenzhen from 2007 to 2020. The findings show that digital transformation enhances manufacturing firm performance significantly, and the conclusions still hold after using dynamic panel models, the instrumental variables approach, and a series of robustness tests; further analysis reveals that this effect is more significant in state-owned enterprises and manufacturing enterprises in regions with a higher degree of marketization. The results of the mediating effect model show that low-cost empowerment and innovation empowerment are important channels to improve the performance of manufacturing enterprises. Accordingly, this paper argues that accelerating the deep integration of digital technology and enterprise development is the key to achieving high-quality development and improving enterprise performance in the context of an uncertain business environment.
Journal Article
The Effect of Financial Technology Investment Level on European Banks’ Profitability
This paper examines the dynamic relationship between fintech investments and financial performance, and it explores whether the bank size could influence the performance in the context of the digital transformation (digitization). The fully modified ordinary least squares (FMOLS) model is estimated for 23 European banks throughout the whole period ranging from 2010 to 2019 and for the two sub-periods spanning from 2010 to 2014 and from 2015 to 2019. The econometric results evince that fintech are positively and significantly related to the bank profitability, inferring that the greater the digital engagement of banks is, the higher the profitability is. Our findings provide evidence that the bank size is a moderator factor in affecting the relationship between digital investments and the profitability. Hence, larger banks benefit more from investments in the financial technology so as to improve their performance. Our study has substantial policy implications as we suggest that the increased investment in the fintech is a possible channel through which banks improve their performance, particularly when the bank size is considered large.
Journal Article