Real Innovation Research Articles

Technology “like a fork”. How PropTech shapes real estate innovation

PurposePropTech has shown important implications for real estate; however, it remains a poorly understood phenomenon in both academia and practice. This paper aims to advance the understanding of PropTech by disentangling what the real estate sector needs from technology and, in parallel, observing closely the activities of PropTech businesses in two different countries.Design/methodology/approachThe paper adopts a mixed-method approach relying on qualitative data collected through interviews with PropTech players and real estate operators, and quantitative data collected through multiple sources on the Finnish and Italian PropTech ecosystems. The analysis is exploratory and descriptive.FindingsThis study underscores the potential benefits that digital technologies, introduced by PropTech, can add to the real estate sector: data integration; decisions informed from data; balance of new and old approaches to problem-solving; change in vision; adaptability of technologies and business models; and new professional profiles. These benefits are obtained when technology enables innovation from cross-pollination of different sectors. This becomes evident through the analysis of NACE activities, which demonstrates that innovation not only depends on interactions between property and technology, but the phenomenon covers a much broader spectrum of activities and industries.Originality/valueOur exploratory analysis brings up new evidence that not only the real estate sector and property sector are affected by PropTech but the phenomenon covers a much broader spectrum of activities and industries. This paper contributes to the debate on technology innovations and value chain in the real estate and construction sector, while adding a cross-country perspective.

The Promise and Peril of Emerging Technology for Brain Enhancement

Today’s emerging technologies provide possibilities for radical therapy for human diseases and disabilities, as well as radical enhancement and alteration of human abilities. This article discusses both the positive and negative possibilities of three current emerging technologies for therapy and bioenhancement—brain-computer interfaces, prosthetic memory, and transcranial direct current stimulation—as well as fictional narratives that prefigure these innovations. The author argues that the particular dangers of current radical emerging technologies that could enhance brain processing speed, alter or enhance memory, and affect mental states are prefigured by fictional stories that anticipate these real innovations.

Artificial Intelligence dan (Persoalan tentang) Pekerjaan: Sebuah Tinjauan Filosofis dari Perspektif Vita Activa Hannah Arendt

Artificial Intelligence AI is the result of innovation and the proficiency of human technology. Technology like (AI) has the power to change humans including in terms of ability, expertise, time and handwork. This is the dilemmatic aspect of the emergence of AI. This article aims to examine the real technological developments and human innovations in AI and their impact on human handwork as a model of self-realization. The author analyzed this problem using a literature review method related to the Vita Activa concept initiated by Hannah Arendt. Starting from Arendt's criticism of the devaluation of the value of human action by the presence of AI, this research will show that active human involvement in handiwork still has the value of realizing the existence of human abilities. Thus, amidst human anxiety about the presence of AI, Hannah Arendt affirms the importance of human involvement in the public sphere.

A Hybrid Data Envelopment Analysis–Random Forest Methodology for Evaluating Green Innovation Efficiency in an Asymmetric Environment

The accurate evaluation of green innovation efficiency is a critical prerequisite for enterprises to achieve sustainable development goals and improve environmental performance and economic efficiency. This paper evaluates the green innovation efficiency of 72 new-energy enterprises by using a hybrid method of Data Envelopment Analysis (DEA) and a random forest model. The non-parametric DEA model is combined with the parametric SFA model to analyze the real green innovation efficiency on the basis of removing environmental factors and random factors. Then, the random forest model based on a nonlinear relationship is used to evaluate factors impacting green innovation efficiency. This paper proposes a comprehensive evaluation method designed to assess the green innovation efficiency of new-energy enterprises. By applying this method, companies can gain a comprehensive understanding of the current performance in green innovation, facilitating informed decision-making and accelerating sustainable development.

Ubicación automática de los elementos de hasta tres conjuntos en operaciones con Diagramas de Venn mediante un comando de Wolfram-Mathematica

The representation of set algebra operations using Venn diagrams has been widely adopted in various fields. However, it is possible to create these diagrams manually in programs such as Microsoft Word, Microsoft PowerPoint, Microsoft Visio, etc., and symbolic calculus systems such as Wolfram-Mathematica, Maxima, Maple, MatLab, etc. The real innovation lies in the automation offered by specialized software such as Wolfram-Mathematica. This paper presents a new Wolfram-Mathematica command that allows operations with up to three sets, offering unprecedented versatility. The objective of this paper is to explore how Wolfram-Mathematica facilitates these operations automatically, highlighting its superiority in terms of efficiency and precision. n compared to manual methods.

Kujūla Kadphises’ “Roman” Coin: an Issue for Merchants

Abstract The paper studies a copper coin type issued during the reign of the Kuṣāṇ king Kujūla Kadphises (ca. 40/50–90 AD) called “Roman Emperor Type”. These coins, dated towards the end of the first century AD, present on the obverse the image of a ruler recalling the imperial iconography of the Julio-Claudian period, and on the reverse Kujūla himself seated. The coin is a real innovation in the history of ancient Indian numismatics and can be the starting point to understand the political choices of Kujūla in a context still embryonic for the Kuṣāṇs. This paper, through the literary, epigraphic, and archaeological sources at our disposal, aims to demonstrate that the issuing was influenced not only by the halo of authority that the Romans had in India, but mainly by the economic and religious context of the city, which the sovereign used as a place of experimentation for this particular hybrid type of coin.

Costs of Public Auditor Oversight: Real Earnings Management and Innovation Loss

Costs of Public Auditor Oversight: Real Earnings Management and Innovation Loss

The internationalization of capital market and corporate innovation capabilities: A quasi-natural experiment on the inclusion of China's A-shares in the MSCI index

The capital market serves to link capital with the real economy. This study examines the long-term effects of capital market internationalization from the perspective of real economy corporate innovation capabilities. To do so, a quasi-natural experiment is conducted in which China's A-shares are included in the MSCI index to construct a time-varying PSM-DID model and study the impact of capital market internationalization on corporate innovation inputs and outputs. The results show that bringing China's A-shares in the MSCI index significantly improves corporate innovation capability through signaling and supervisory effects. Specifically, the internationalization of the capital market reduces corporate financing costs, increases corporate risk-taking, improves long-term institutional investors' shareholding, and alleviates managerial myopia. Furthermore, these effects were found to be more significant for both high-management shareholding enterprises and low-industry competition enterprises. The research conclusions support the proposition to further unleash corporate innovation, and as such, they have important implications for promoting the internationalization of the capital market.

The Innovative Theory of Power and State of Marsilius of Padua

The thought of Marsilius of Padua is full of interesting suggestions which represent real theoretical innovations in his time. This article, using a theoretical approach that focuses on conceptual analysis in a diachronic key, aims to highlight the innovative perspectives proposed by the political philosopher by comparing them with some of the most important later developments in modern political thought and, in particular, the democratic theory of power, which is based on some essential concepts, such as the secular character of institutions, the designation of the people as sovereign, the separation of powers, and the limitation of government.

Prophy: An automated reviewer finder to improve the efficiency, diversity and quality of reviews

Peer review is under pressure. Without fair, transparent and efficient peer review we cannot ensure the right proposals get funded and the correct manuscripts get published. In the era of Open Access, which is driving an exponential increase in the number of submitted publications, how we carry out peer review is becoming increasingly important and how we find reviewers is coming under scrutiny. The current methods are slow and produce bias pools of reviewers. As such we need an improved way. At Prophy we have developed a state-of-the-art referee finder that can find experts to review any manuscript from any scientific field in seconds. Then through post-processing filters we can find appropriate candidate referees who are most likely to review a paper, whilst highlighting important conflicts of interest through our complex citation networks. These methods can ensure fair and independent experts who can review interdisciplinary papers from any discipline. These methods are being delivered through APIs and the editorial workflow of editors ensure the right people get access to these tools. Finally, as large-language models improve, so does Prophy and as such we will be looking to drive real innovation in this area in years to come.

Automating activation in Australia: a critical policy discourse analysis of the new employment services model

ABSTRACT This article critically analyses the policy discourse that accompanied the introduction of the ‘New Employment Services Model’ (NESM) into the Australian social security system. Critical policy discourse analysis of documents presenting reforms to employment services provision shows that the NESM embeds a logic of activation that construes job seekers both as passive units requiring external motivation (through ‘employment support’ and ‘mutual obligation’), and as active agents responsible for their own situation. This contradictory logic results in inconsistencies between the espoused aims of the reforms and the experience of those subject to the policy mechanisms. Analysis of departmental outcomes data illustrates the inconsistent operational consequences of the conflation of ‘targeted compliance’ and ‘support.’ Due to the technological automation of activation processes, the real discursive innovation of the NESM is one of ‘digital depoliticization,’ whereby the moralizing assumptions that inform punitive activation are embedded and therefore concealed in the policy technology. The operational effect is to subordinate the achievement of employment to compliance with mutual obligation requirements as a structured aim of employment services provision.

Material innovation

This issue of the International Journal of Sustainable Fashion & Textiles (SFT) is presented as a themed issue on ‘Materials’ relating to textile innovation in the fashion and textiles industries. Millions of tonnes of textile waste are sent to landfill every year with only a small percentage being recycled into new products. Widely recognized as one of the most polluting industries to the planet and a major contributor to CO2 emissions and climate change, the textile industry now with greater urgency is looking towards finding solutions to the environmental problems caused by textiles diverted to landfill or incineration at their end of life. Some real innovation is already apparent as solutions to the problems are being explored at scale with mechanical recycling of post-consumer waste and new innovations in materials made from renewable resources.

Consequence of Resistance to Change on AI Readiness: Mediating–Moderating Role of Task-oriented Leadership and High-Performance Work System in the Hospitality Sector

In the modern era of the fourth industrial revolution, where collaborative systems are the real innovation, people are still not prepared for the results of the third revolution, namely, artificial intelligence readiness (AIR). Hence, people didn’t have enough time to adapt to the change. This paper aimed to explore the impact of resistance to change on artificial intelligence readiness and also explores the mediating role of task-oriented leadership, moderating role of high-performance work system. The study employs a quantitative research design and collects data of 450 working employees from hospitality sector of Pakistan. SmartPLS is used to analyze structural equation modeling (SEM) to through mixed-methods approach. The study findings are consistent with the proposed study hypotheses that resistance to change has positively impacts RI readiness and task-oriented leadership. Furthermore, the findings also elaborate the mediation of task-oriented leadership between latent constructs and moderating role of high-performance work system between resistance to change and task-oriented leadership. The study concluded that the hospitality sector should focus on developing task-oriented leadership and high-performance work systems to overcome resistance to change and increase its AI readiness.

Precision Marketing Model using Decision Tree on e-Commerce Case Study Orebae.com

The development of the industrial world towards industry 4.0 has resulted in changes in the lifestyle of the wider community in carrying out their activities through digital media, one of which is shopping. This has an impact on the emergence of many business actors in the e-Commerce field, which brings its own challenges to stay alive and face the competition. The demands for innovation in competitive competition are also increasingly diverse with various approaches ranging from technology, social science, management science, and even artificial intelligence. One form of innovation that is widely carried out by e-Commerce today is looking for an ideal and effective form of marketing, where the form of marketing itself is considered less able to accommodate e-Commerce needs. One form of real innovation in finding the ideal and effective marketing is precision marketing. Precision marketing itself is marketing that is carried out by utilizing data where consumers are the center of preference for data collection. In fact, many of the e-commerce companies that were launched were unable to keep up with the competition because they were unable to develop marketing strategies and eventually went bankrupt. Therefore, we need a special way to bridge these problems so that e-Commerce can stay alive, especially for e-Commerce classified as Small and Medium Enterprises (SMEs). This research will focus on developing a precision marketing model in e-Commerce for small businesses, namely orebae.com which can be used as a tool in the development of marketing strategies. This research was carried out using a machine learning approach by adopting a decision tree algorithm. The results of this study showed that the precision marketing model for orebae.com based on customer preferences can be used to increase the number of sales of orebae.com and to reduce marketing costs.

Research on the Reform of China's Education Policy System Integrating Innovation and Entrepreneurship Education

At present, the IEE (innovation and entrepreneurship education) of local applied universities is obviously insufficient, which affects the development of graduate students' innovation and entrepreneurship ability. Although universities have included IEE as a compulsory course as one part of the talent training plan, the number of courses actually implemented in reality is very small, which makes it difficult to effectively train and educate students. In order to carry out real innovation and entrepreneurship teaching, it is necessary to reform the existing IEE model of local applied universities and put it into practice. Cultivate college students' insight, judgment and decision-making ability on opportunities and problems of innovation and entrepreneurship, and at the same time, immerse college students in the atmosphere of innovation and entrepreneurship in all directions through diversified IEE organizations. This paper analyzes the present situation of China's educational policy system reform, finds out the problems and then finds out the solutions.

A Datasheet for the INSIGHT Birmingham, Solihull, and Black Country Diabetic Retinopathy Screening Dataset.

Diabetic retinopathy(DR) is the most common microvascular complication associated with diabetes mellitus (DM), affecting approximately 40% of this patient population. Early detection of DR is vital to ensure monitoring of disease progression and prompt sight saving treatments as required. This article describes the data contained within the INSIGHT Birmingham, Solihull, and Black Country Diabetic Retinopathy Dataset. Dataset descriptor for routinely collected eye screening data. All diabetic patients aged 12 years and older, attending annual digital retinal photography-based screening within the Birmingham, Solihull, and Black Country Eye Screening Programme. The INSIGHT Health Data Research Hub for Eye Health is a National Health Service (NHS)-led ophthalmic bioresource that provides researchers with safe access to anonymized, routinely collected data from contributing NHS hospitals to advance research for patient benefit. This report describes the INSIGHT Birmingham, Solihull, and Black Country DR Screening Dataset, a dataset of anonymized images and linked screening data derived from the United Kingdom's largest regional DR screening program. This dataset consists of routinely collected data from the eye screening program. The data primarily include retinal photographs with the associated DR grading data. Additional data such as corresponding demographic details, information regarding patients' diabetic status, and visual acuity data are also available. Further details regarding available data points are available in the supplementary information, in addition to the INSIGHT webpage included below. At the time point of this analysis (December 31, 2019), the dataset comprised 6 202 161 images from 246 180 patients, with a dataset inception date of January 1, 2007. The dataset includes 1 360 547 grading episodes between R0M0 and R3M1. This dataset descriptor article summarizes the content of the dataset, how it has been curated, and what its potential uses are. Data are available through a structured application process for research studies that support discovery, clinical evidence analyses, and innovation in artificial intelligence technologies for patient benefit. Further information regarding the data repository and contact details can be found at https://www.insight.hdrhub.org/. Proprietary or commercial disclosure may be found after the references.

Global export flow of Chilean copper: The role of environmental innovation and renewable energy transition

Copper is one of the most important minerals that has extensive use in environment-friendly technologies and renewable energy generation. The global urgency for environmental and ecological conservation through renewable energy transition has considerably enhanced the importance of copper and articles thereof. Chile is a major producer of copper. It contributes more than one-third to global supply. Therefore, this study explores the export flow of Chilean copper in response to increasing demand side conditions in major 24 trading partners from 2002 to 2020. This objective is realized by constructing an augmented model for import demand that incorporates bilateral real exchange rate along with real GDP, environmental innovation, and renewable energy transition in major import markets. The estimated results of panel quantiles via moments techniques reveal a significant positive impact with increasing coefficients at higher quantiles, while environmental innovation and renewable energy transition in trading partners show significant positive impact with decreasing values of coefficients at higher quantiles. The findings urge Chile to enhance production capacity of copper and other critical mineral and improve participation in global value chain to meet sharply increasing copper demand from environmental innovation and renewable energy transition.

The Mammoth prophecies: a role-playing game on controversies around a socio-technical innovation and its effects on students’ capacities to think about the future

This article reports on a political game played between November 2021 and February 2022 at a European university in the frame of an elective course open to students from all disciplines. It started from a scenario that combined a real and ongoing innovation process—the use of CRISPR/Cas9 technology to introduce specific genes from unfrozen mammoths onto an elephant species to make it more resistant to cold—with a fictive joint project between a US-based company and the Russian government to release those mammoths on an island in the North-West of Russia. Almost no rules were given, and the students were distributed in nine groups to represent different actors deemed relevant to the scenario. These groups were the national governments of (1) Russia, (2) close neighboring states, (3) European countries farther away from the project location; (4) the company working on the innovation, dubbed HELIOS; (5) other market actors; civil society organizations concerned with (6) animal rights and (7) the environment; (8) the European Commission and the EU Parliament; and (9) media. The game was led by the course teacher and two student volunteers. Based on the results of both qualitative and quantitative forms of ex-post evaluation, we assess whether the Mammoth game meets the expectations that guided the game design process. Furthermore, we discuss whether the Mammoth game had a positive effect on students’ abilities to think about the future.

The care of the magic of life before and after its beginning.

The Journal of Perinatal Medicine helps me a lot to understand how impacted in my work as Neonatologist the crucial importance of permanently think on prenatal development and postnatal experiences of the newborn we are caring, and how the parents live the moment. We should produce High Technology but at the same time seriously consider High Prenatal life Advances. Possibly noother field of medicine has undergone such dramatic progress in reducing mortality and morbidity as the care of preterm newborns. In recent years, remarkable advances in the care of pregnant women and their babies have led toan increase in infant survival. However, advances in neonatal care need to be accompanied by mechanisms that help us deliver care safely to this most vulnerable population. Great progress has been made in perinatal care, but the health-care system must do much more. The health-care system faces a great challenge, the era of reflection between real progress and innovations. It means: Seriously consider what we are really doing and what we should really do.

An empirical investigation of the relationship between real exchange rate and innovation: Evidence from China

AbstractThe aims of this study is to investigate the relationship between real exchange rate and innovation in China for the period spanning from 1985 to 2020 using an annual time series data collected from different sources. The study employs autoregressive distributed lag bound test and other econometrics techniques to analyse the short‐run and long‐run relationship among the variables. The findings of the study reveal the existence of short‐run and long‐run relationship between real exchange rate (undervalued RMB) and technological innovation. Furthermore, real exchange rate (undervalued RMB) has positive effect on innovation while real exchange rate volatility is negatively affect innovation. Based on the above empirical findings, the study suggests some policy implications which are considered important for fostering rapid and sustainable economic growth.