Blockchain Papers

Andrew Stewart Caldin

FINDING: The Polymath project's most mathematically substantive output is the retrospective on bounded prime gaps, formalizing \(H_m := \liminf_{n \to \infty} (p_{n+m} - p_n)\), with the twin prime conjecture equivalent to \(H_1 = 2\). | MATH: \(H_m\) definition; Zhang's breakthrough implies \(H_1 < 7 \times 10^7\), later Polymath-reduced to \(H_1 \le 246\) (unconditionally) and \(H_1 \le 6\) under Elliott–Halberstam. No new constants or ratios emerge from the search results themselves. | CONNECTION: None direct. Prime gaps are irregular; no Fibonacci, golden ratio, or base-60 structure appears in the cited material. The "Golden Square" episode title is a red herring — it refers to a cryptocurrency/economic concept, not mathematical geometry. | DEPTH: 4 — The collaborative methodology is profound for process, but the specific findings here are incremental refinements of Zhang's bound, not a new structural revelation. The \(H_m\) formalism is elegant but not harmonic. --- FINDING: Ter Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Andrew Stewart Caldin

Connects to 16 breakthroughs. AUM Inflow Despite Price Slide - TipRanks From GoogleNews (271,272,274,275,276,277,278,279,285,286,287,288,290,291,293,294). Avg score: 0.24 Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Aline Leandro

&lt;p&gt;Resumo&nbsp;&lt;br&gt;Este artigo investiga a viabilidade econ&ocirc;mica e comportamental da cria&ccedil;&atilde;o de criptomoedas&nbsp;&lt;br&gt;personalizadas (Fan Coins) atreladas &agrave; performance de jogadores de futebol, utilizando m&eacute;todos&nbsp;&lt;br&gt;quantitativos em Econometria, com foco em arrecada&ccedil;&atilde;o por bilheteria, patroc&iacute;nios e apostas esportivas. A&nbsp;&lt;br&gt;an&aacute;lise inclui os casos de Diego Ribas (Flamengo), Neymar (Santos), e artilheiros do S&atilde;o Paulo e Palmeiras.&nbsp;&lt;br&gt;A proposta &eacute; analisar como a reputa&ccedil;&atilde;o e a performance esportiva podem ser transformadas em ativos&nbsp;&lt;br&gt;digitais de valor mensur&aacute;vel. Ainda, prop&otilde;e-se a utiliza&ccedil;&atilde;o de sistemas de intelig&ecirc;ncia artificial para gest&atilde;o&nbsp;&lt;br&gt;de carteiras de patrocinadores e um aplicativo de fan clube com sistema de assinaturas para fomentar um&nbsp;&lt;br&gt;novo modelo de neg&oacute;cios esportivos baseado em dados e personaliza&ccedil;&atilde;o.&nbsp;&lt;br&gt;Palavras-chave: Fan Coin; Criptomoeda; Econometria; Economia do Esporte; Teoria dos&nbsp;&lt;br&gt;Jogos; Finan&ccedil;as Comportamentais; Apostas Esportivas; Intelig&ecirc;ncia Artificial; Modelagem&nbsp;&lt;br&gt;Financeira; Patroc&iacute;nio Digital.&lt;/p&gt;

Rami Alkhudary, Horst Treiblmaier, Nir Kshetri

Purpose Previous research has identified numerous business applications for non-fungible tokens (NFTs), yet there is a dearth of studies exploring this phenomenon in managerial practice. This article fills this gap by employing service-dominant logic and examining multiple NFT projects to gain insights into how the deployment of NFTs can contribute to achieving companies’ strategic objectives. Design/methodology/approach Our research employs a diverse case selection strategy, focusing on 13 well-established brands using NFTs to transform their activities across various countries and sectors. We conducted a secondary data analysis, including press articles and social media content, to identify relevant NFT projects and develop five propositions that offer entry points for future studies in the broad field of crypto-marketing. Findings Five main areas are identified in which NFTs can help advance companies’ strategic objectives: (1) enhancing perceived quality, (2) driving innovation performance, (3) accessing funds with zero interest, (4) enhancing flexibility and (5) promoting sustainability. Originality/value This article is among the first to investigate and systematize current trends and applications of NFTs in relation to companies’ strategic objectives. It provides actionable insights for practitioners and specific propositions for further research by management scholars.

Δαμιανός Π. Σακάς, Nikolaos T. Giannakopoulos, Dimitrios Κ. Nasiopoulos, Νίκος Κανέλλος · 5 authors

Recent developments in blockchain technology have enabled the development of wallet applications for storing peoples’ cryptocurrency reserves. Cryptocurrency wallet applications could deploy affiliate marketing processes to increase the visibility of their products. From these affiliate marketing processes, supply chain firms in the air forwarding sector that seek to advertise their services to a larger audience could be benefited. This research examines whether affiliate marketing initials of cryptocurrency wallet applications affect their digital marketing efficiency, as well as whether air forwarding firms’ website visibility could be benefited from them. After collecting the required Web Analytic data, the authors performed statistical analysis (correlations and linear regressions), followed by Fuzzy Cognitive Mapping (FCM) macroanalysis and Hybrid Modeling (HM) microanalysis to assess the outcomes of cryptocurrency wallet applications’ affiliate marketing programs. Hence, from the deployed methodology, valuable insights arose. The first part of the produced outcomes concerns the effect of cryptocurrency wallet application affiliate marketing metrics on their digital marketing results. The increased implications of affiliate marketing metrics (referring domains, backlinks, etc.) decrease the number of pages their visitors see. Regarding the air forwarder firms’ website visibility, specific metrics (branded and referral traffic) were increased and others (social traffic) were decreased from the increment of cryptocurrency wallet application affiliate marketing metrics (backlinks, internal links, etc.). Supply chain firms, in the air forwarding sector, could have increased website visibility by deploying advertisements and affiliate marketing initiatives with cryptocurrency wallet organizations. Summing up, specific affiliate marketing metrics of cryptocurrency wallet applications are capable of significantly impacting their digital marketing performance and also constitute determinant factors of supply chain firms’ website visibility.

Mladen Pancić, Dražen Ćućić, Hrvoje Serdarušić

The analysis of the causes or drivers of the adoption of big data analytics and blockchain and their subsequent influence on firm performance has become a significant need as a direct result of the rapidly expanding popularity of business intelligence. The purpose of this research is to present a model that investigates the direct and indirect influence of business intelligence on firm performance through the mediating roles of the adoption of big data analytics and blockchain. The analysis is based on data collected from a representative sample of 387 employees from 12 Information technology (IT) firms operating in Croatia. The study investigates these connections using a structural equation modeling. The findings showed that business intelligence has a direct and significant influence on firm performance. In addition, business intelligence significantly and positively influenced the adoption of big data analytics and blockchain and, in turn, firm performance. Additionally, the adoption of big data analytics and blockchain technology signified and positively mediated the relationship between business intelligence and firm performance. Both the mediations were partial. Finally, the study also provides managerial implications, limitations and future directions.

Cordelia Friesendorf, Alena Blütener

No abstract is available for this record.

Cordelia Friesendorf, Alena Blütener

No abstract is available for this record.

Farhad Khoshbakht

Big Data is mixed with huge, autonomous sources like decentralized and distributed control system. For organizations that use the conventional data processing mechanism to handle and archive these large data sets, these capabilities pose an extreme obstacle. A new model has to be defined and the existing framework must be re-evaluated for the analysis and management of big data. The word Business Intelligence (BI) applies to applications, technology and activities for commercial knowledge gathering, review, incorporation and presentation. Business Intelligence’s primary aim is to facilitate quicker and stronger business decision-making process.” Therefore, the strategic review of the literature must study the trend of Information System (IS) adoption factors as a well-designed strategic diagnostic tool that can be used for essential decision-making systems to enable more effective and reliable action plans. We started with discussing some frameworks required for strategic excellence by examining the potential approaches of Big Data Analytics (BDA) and Business Intelligence (BI). In the end, we would design an integrated application that functions as an organization's strategic performance management diagnostic tool. “In general, the emphasis and reach are on the corporate decision-making mechanism, there are some specifics on the analysis, but every conceivable tool and instrument is not specified, the concept is sufficiently concrete to assist in the creation of steps. This research paper therefore examines the position of the system for big data analytics and market intelligence.

Jyoti Satpathy, Banita Mallik, Suruchi Gorg

Neuroscience and managerial-sciences have witnessed tremendous advance since turn of this Century. Making neuronal-directed neurostrategy-based judgements is a complex management action. Hominids share designed structural sphere and project stimulus on neurostrategy-based judgement processes. Neuroscience, along with cognito-management, has made unprecedented insights into human brain and nature. Fissures amongst judiciousness-based scrutiny adopt proxies and anthropological comportment in shepherding behavioural exploration on neurostrategy-based judgement making. Business actors, models and axioms of management tend to focus on either competences of business ‘actors’ or resources of organisation. Actor’s neurostrategy-based judgement dynamics has extended from behaviourist approach to cognitive that focuses on processes prior to response. ‘Deciding to Decide’, ‘Preferring to Prefer’, ‘Deciding to Prefer’ and ‘Preferring to Decide’ are four ‘bordered boundaries’ where business actor has to arrive at an optimal neurostrategy-based judgement. Managers (‘Actors’) contract high uncertainty, ambiguity, time pressure and emotional stress. Neural mechanisms of neurostrategy-based judgement making require integration of evidence over time until a response threshold is reached. Cognito-management investigates neurostrategy-based judgement making by using ‘cognito-tactical monikers’ (CTM) to investigate how brain behaves in circuit of higher cognitive functions. This has transitioned from mapping confined effects to evolving extrapolative models that assimilate data scattered across brain structures. In a progressively complex management milieu, managers struggle between tactical arrangements and precise methods to gauge degree of accomplishment of predetermined goals. Neurostrategy-based judgement-oriented planning assists as ‘catalyst’ in terms of cognitive behaviours. There is need to understand neurobiological ‘drivers’ for investigating underlying neurocomputational formulation mechanisms of neurostrategy-based judgement processes that underlie neurostrategy-based judgement making. These are skills to meet new age challenges. In this, scope is to understand how managerial traits mapping divulge behavioural insight. The factual lateral lies on analysis of available verifiable, reliable and significant information, filtering and sieving of available information and accessing expressive information. This is supplemented by actions of neuron cells to further process interactive-oriented actions. Managers’ generally count on heuristics in an air of improbability. In real world, encountered with multifaceted choice circumstances, managerial judgements surface from complex, complicated, cognitively demanding and intertwined set of data and information. Perceptive procedures are principal ‘drivers’ to calculate diverse optimal alternatives to grasp a judgement. Skin owns power-driven chattels (‘skin conductance’) that transform on relatively short time gauge of minutes allied to psycho-neurostrategy-based judgemental techniques. As a representation for neural action, transdisciplinary ‘skin-conductance driver’ aid merger of all neurostrategy-based judgement-related aspects. This ‘driver’ noise for ‘agent-oriented’ sculpting and psycho-managerial investigation efforts. Imaging tools have motivated neuromanagerial ‘skin-conductance driver’ of internal order of neurostrategy-based judgement making. ‘Skin-conductance driver’ exhibits potential for fundamental changes in how ‘Smart Managers’ contemplate, perceive and archetype judgement. Through ‘skin-conductance driver’, skin absorbs data, recognises and edges problematical ‘business climate’ towards suitable responses. ‘Smart Managers’ decide on judgements that represent ‘conflicting principles’. Question is how ‘Smart Managers’ makes judgements in a climate of vicissitudes in skin conductance. How judgements are carried out in skin of ‘Smart Managers’? Curiosity is on possibilities, philosophies, behaviours and stratagems that ‘Smart Managers’ uses to make judgements. How do portions of ‘Smart Managers’ skin administer judgement crafting, synchronise and engross in tactical explanation while deciding? There are unsolved problems in ‘skin geometry’ where neuromanagement seeks to explain ‘behaviour shapes’ (coherent ‘skin geometry’) towards neurostrategy-based judgement crafting? This experimental paper aims at exploring prospects and challenges in significant role of ‘neuronics’ in prototyping managerial neurostrategy-based judgements. Points of focus are on driving ‘information-agents’ and ‘information-elements’. What neuronal-strategic choices underpin neurostrategy-based judgements? Does systemic analysis reveal neuronal factors that contribute to explain effective mapping of neurostrategy-based judgements? In a quasi-experiment, a set of Managers were chosen and subject to information based neurostrategy-based judgement mapping. Results indicate that ‘information-agents’ and ‘information-elements’ do have a positive influence on neurostrategy-based judgement edifice of neurostrategy-based judgement prototyping. This paper attempts to analyse approaches to behavioural thinking in neuroscientific philosophy of biology experiments. CTM techniques explain neural basis of neurostrategy-based judgement making and endeavours to reconnoiter ‘skin-geometry’ phenomenon to screen theoretic contexts and empirical methods for appreciating heterogeneity of neurostrategy-based judgement circuit. Objective is to screen theoretic and empirical contexts in neuro-dermatological ‘skin geometry’ framework of ‘neurostrategy-based judgement circuit’. Methodology includes data collection was via single-phase process. For clinical tests, one (01) volunteer respondent (single-subject; N = 01) was chosen. Purpose is to assess that ‘skin geometry’ have stimulus on managers’ choice. Focus is on comparing neuro-dermatological observations to replicate philosophy of biology in research. Results demonstrate indications for spontaneous counterfactual replication in province of high-level reasoning. Major finding is that manager attempts to address a neuro-dermatological circuit using ‘skin geometry’ medium. Paper discusses findings and future directions to guide biology in neurostrategy-based judgement neuroscience via neuronal apparatus. Research offers ‘Golden Anchorage’ of neuro-locking of skin and neurostrategy-based judgement making dynamics to appreciate how ‘Smart Managers’ make judgements to neurostrategy-based judgemental questions.

Imad Bani Hani, Olgerta Tona, Sven Carlsson

The main premise of self-service business analytics (SSBA) is to make business users autonomous during data analytics. Driven by this potential, organizations are spending resources to design SSBA environmet to empower business employees and decentralize the analytics capabilities. Yet, little is known about how SSBA is facilitating business employees’ independence, and moreover, the value that is co-created. Based on empirical data from a major Norwegian online marketplace and drawing on service-dominant logic as an analytical framework, we identify three main modes of data engagement in SSBA: no dependency, high dependency, and low dependency. Furthermore, we identify the required business users’ resources in the analytical processes in each mode. We discuss the organizational implications of these findings.

Jennifer Hongbo Jiang

Thesis: S.M. in Management of Technology, Massachusetts Institute of Technology, Sloan School of Management, 2017.