DLT-based Regulatory Systems Dynamics

In this research, we examine the interplay between ‘actors’ and ‘agents’ in Distributed Ledger Technology (DLT) systems. We identify regulatory interactions between off-chain agents setting the rules, as well as on-chain code as actors regulating the behavior of DLT users. We theorize about the relationship between agents and actors that mutually regulate each other in certain ways through the DLT system and identify the significant dimensions related to the trifecta in which the soft system agent sphere regulation of DLT is likely to interact with the hard system actor sphere regulation by DLT. By proposing the trifecta between DLT design, DLT protocol, and DLT use, we explain the relationship between these three and the role of DLT protocol as a mediator between DLT design and DLT use. Our research sheds light on the dynamics within DLT systems and the regulating forces at play from a systems’ thinking perspective.e

Determinants of Blockchain Adoption as Decentralized Business Model by Spanish Firms : an Innovation Theory Perspective

Purpose: Large attention surrounds identifying the meaningful blockchain business model on financial services, while a little focus about non-financial organizations and solutions in terms of how the blockchain business model can affect the organization and bring more value. To address the complex structure of businesses that have public goods, it is important to develop sustainable blockchain-based business models. Design/methodology/approach: This study offers the first qualitative research that uses an integrated technological, environmental and organizational (TOE) framework with technology acceptance theory (TAM) to study the adoption of blockchain technology by Spanish firms. Findings: The results of the paper discuss how that competitive pressure, competence, top management support and relative advantage have a positive impact on intention to adopt blockchain technology while complexity affects the intention to adopt the technology negatively. Contrary to many adoption studies, the findings show that intention to adopt negatively impacts adoption and outline the effect of blockchain on business model elements on the macroeconomic level. Originality/value: The key contribution of this study lies in providing a comprehensive understanding of the environmental, technological and organizational factors that impact the intention to adopt blockchain that eventually affects adoption

Development of Silicon Sensor Characterization System for Future High Energy Physics Experiments

The Compact Muon Solenoid (CMS) is one of the general purpose experiments at the Large Hadron Collider (LHC), CeRN and has its tracker built of all silicon strip and pixel sensors. Si sensors are expected to play extremely important role in the upgrades of the existing tracker for future high luminosity environment and will also be used in future lepton colliders. however, properties of the silicon sensors have to be carefully understood before they can be put in the extremely high luminosity condition. At Delhi university (DU), we have been working on the development of Si sensor characterization system, as part of the collaboration with the CMS experiment and RD50 collaboration. this works reports the installation of current-voltage (I-V) and capacitance-voltage (C-V) systems at DU

Public Sentiments towards the COVID-19 Pandemic: Insights from the Academic Literature Review and Twitter Analytics

The recent COVID-19 pandemic has severely impacted nations across the globe. Not only has it created economic shocks, but also long-term impacts on the social and psychological behaviors of the public. This can be attributed to the severity of the pandemic and because of the preventive and control measures such as global lockdowns, social distancing, and selfisolation that the governments imposed. Previous studies have reported significant changes in human emotions and behaviors are used to measure public sentiments about certain phenomena (such as the recent pandemic). The present study aims to study the public's sentiments during the COVID-19 outbreak based on an analytics review of public tweets highlighting changes in emotions. A dataset of 58,320 tweets extracted from Twitter and 61 academic articles was explored to analyze behavioral and emotional changes during previous and current pandemic situations. We chose the RPA – COV (Research Process Approach – COVID-19) approach, which was combined with the LBTA (Literature-Based Thematic Analysis) and the COVTA (COVID-19 Twitter Analytics). The sentiments' analysis results were coupled with word-tree analysis and highlighted that the public showed more highly neutral, positive, and mixed emotions than negative ones. The analysis pointed that people may react differently on Twitter as compared to real-life circumstances. The present study makes a significant contribution towards understanding how the public express their sentiments in pandemic situations

A Systematic Review of Contactless Technologies Research in Hospitality and Tourism During the COVID-Pandemic

Since the onset of the COVID-19 pandemic, the implementation of contactless technologies in hospitality and tourism has grown exponentially, making understanding consumer adoption of these technologies an important research area. A systematic literature review of relevant studies published in hospitality and tourism journals was conducted to identify three main subsets of the antecedents of contactless technologies adoption: system, user, and the environment. An analysis of 44 peer-reviewed articles from top hospitality and tourism journals is presented, along with an identification of 10 main categories of contactless technology. Findings indicate the specific technologies adopted since the onset of the COVID-19 pandemic and the common factors studied related to contactless technologies in past research. Theoretical/managerial implications and directions for future research are discussed

Developing and testing the urban sustainable development goal’s targets and indicators – a five-city study

The campaign for the inclusion of a specifically urban goal within the United Nations’ Sustainable Development Goals (SDGs) was challenging. Numerous divergent interests were involved, while urban areas worldwide are also extremely heterogeneous. It was essential to minimize the number of targets and indicators while still capturing critical urban dimensions relevant to human development. It was also essential to test the targets and indicators. This paper reports the findings of a unique comparative pilot project involving co-production between researchers and local authority officials in five diverse secondary and intermediate cities: Bangalore (Bengaluru), India; Cape Town, South Africa; Gothenburg, Sweden; Greater Manchester, United Kingdom; and Kisumu, Kenya. Each city faced problems in providing all the data required, and each also proposed various changes to maximize the local relevance of particular targets and indicators. This reality check provided invaluable inputs to the process of finalizing the urban SDG prior to the formal announcement of the entire SDG set by the UN Secretary-General in late September 2015

Radiation damage modeling: TCAD simulation

The exceptional performance of the silicon sensors in the radiation environment has led to their extensive application in high energy physics. Even so, the future experiments foresee these sensors to be exposed to higher radiation levels. Radiation induces a change in the macroscopic properties of the sensor, thus, severely affecting the sensor performance and ultimately becoming the limiting factor for its operation. With an aim to extend the radiation hardness capabilities of the silicon sensors for the future experiments there has been a growing interest in sensors with novel designs and unique characteristic of intrinsic charge multiplication. However, it is important to understand the effect of radiation damage on these sensors, before employing them in the main detector system. The RD50 collaboration extensively employs TCAD simulation tools for an in-depth understanding and structural optimization of the newly proposed sensor technologies, complementing the measurement results. The simulation package, by the finite element method, solves the Poisson equation coupled with the current continuity equations in the main device, typically with the drift-diffusion current model. There is also the possibility of co-simulating an electronic circuit connected to the main device using the incorporated SPICE package, for example to predict single event effects or read-out related waveforms. The simulation tools also provide an insight into the sensor operation both in the non-irradiated and the irradiated scenario in order to predict the voltage dependence of the leakage current, charge collection and electrical field distribution as function of irradiation. This has required the development of a radiation damage model within the simulation tools such that the measurements are well reproduced. The details of the radiation damage modelling using two commercial TCADtools Silvaco and Synopsys, are discussed in this work