Showing papers in "Technological Forecasting and Social Change in 2017"

TL;DR: In this paper, a Gaussian process classifier was used to estimate the probability of computerisation for 702 detailed occupations, and the expected impacts of future computerisation on US labour market outcomes, with the primary objective of analyzing the number of jobs at risk and the relationship between an occupations probability of computing, wages and educational attainment.

TL;DR: In this article, the authors compared Germany's Industry 4.0 and China's "Made-in-China 2025" and estimated China's locus in the MIFS.

TL;DR: In this paper, the authors take stock of the ambivalent and contested nature of the sharing economy and highlight the paradoxical nature of sharing economy, and make a case for balanced initiatives that combine the promises of each core while mitigating contradictions.

TL;DR: In this article, the authors investigate the relationship among knowledge management system, open innovation, knowledge management capacity and innovation capacity in the context of the Internet of Things (IoT).

TL;DR: In this article, a detailed, practical discussion of Industry 4.0 in Korea is presented, and the authors suggest policy implications to transition toward industry 4. 0 in Korea by considering IT security, reliability and stability needed for critical machine-to-machine communication, and a need to maintain the integrity of production processes.

TL;DR: In this paper, the authors present the results of an extensive Delphi survey on the future of additive manufacturing with a focus on its economic and societal implications in 2030, and derive implications for industry, policy, and future research.

TL;DR: In this paper, the authors empirically investigated the effects of big data and predictive analytics (BDPA) on social performance (SP) and environmental performance (EP) using variance based structural equation modelling (i.e. PLS) and found that BDPA has significant impact on SP/EP.

TL;DR: In this paper, the authors describe and discover how, why and to what extent mobile augmented reality (MAR) apps contribute to smart retail settings by creating additional value to customers as well as benefiting retailers.

TL;DR: In this article, a research agenda is proposed to determine enablers and barriers for 3D printing to achieve a circular economy (CE) through design, supply chains, information flows, entrepreneurship, business models and education.

TL;DR: In this article, the authors make the case for the integration of the circular economy (CE) and large-scale data (LD), also known as big data, and introduce a new integrative framework to enhance the understanding of the CE-LD nexus.

TL;DR: The study reveals that research using Google Trends has increased dramatically in the last decade, and in the process, the focus of research has shifted to forecasting changes, whereas in the past the focus had been on merely describing and diagnosing research trends, such as surveillance and monitoring.

TL;DR: Using structural equations modeling with data collected from 43 IoT smart city project alliances in Italy, evidence is found that MNEs need to develop knowledge management capabilities combined with ICT capabilities if they want to obtain greater ambidexterity performance at the project portfolio level.

TL;DR: In this article, a set of concepts to study the dynamics of transformative social innovation and underlying processes of multi-actor (dis)empowerment is proposed, which can help to understand contemporary shifts in societal power relations and the changing role of the welfare state.

TL;DR: In this paper, the authors focus on how internal and external knowledge sharing intercede green innovation and ponders on how it affects the organization performance, showing that all types of external knowledge don't convey the same green innovative outputs.

TL;DR: In this paper, the effects of organizational antecedents and innovation climate on OI as well as its consequences on firm performance in SMEs are analyzed. But most of the existing literature still relies on case studies and conceptual frameworks, with little empirical research in the specific context of small and medium enterprises (SMEs).

TL;DR: In this article, the authors assess if increasing information and communication technology (ICT) enhances inclusive human development in a sample of 49 countries in Sub-Saharan Africa for the period 2000-2012.

TL;DR: In this article, the authors leverage a rigorous comparative method, fs/QCA, to assess the business models of 36 firms in the sharing economy and reveal a typology comprising five ideal types that collectively account for the constellation of possible, empirically-relevant business models across the Sharing economy.

TL;DR: In this paper, the authors explore the potential of blockchain technology in enabling a new system of value that will better support the dynamics of social sharing and identify new modalities of value creation that better reflect the social relations of sharing.

TL;DR: Based on the large scale provincial panel data on in China from 2006 to 2015, the authors uses the directed acyclic graph (DAG) and structure vector autoregrression (SVAR) to study the internal dynamic relationship among the environmental regulation, technological innovation and energy efficiency.

TL;DR: A new research model used for the prediction of the most significant factors influencing the decision to use m-payment found that the mostificant variables impacting the intention to use were perceived usefulness and perceived security variables.

TL;DR: The overall perception and acceptance toward such interactive technologies are discussed in this paper and the relative importance of hedonic and utilitarian aspects varies for different kinds of AR apps and has to be considered for improvement to occur.

TL;DR: In this paper, the authors introduce two perspectives in research on organizational institutionalism that focus on culture and pluralism, and argue that unpacking the pluralism of organizational forms and practices is critical to examine the dynamics of the sharing economy.

TL;DR: In this paper, the authors identify the debate that has resulted from the collision between what they term "the sharing economy manifesto" and platform capitalist practices operating under the banner of the SE.

TL;DR: This paper develops a Big Data architecture that properly integrates most of the non-traditional information sources and data analysis methods in order to provide a specifically designed system for forecasting social and economic behaviors, trends and changes.

TL;DR: In this article, the authors developed a theoretical framework explaining how intermediary organizations can reduce cognitive, geographical, organizational, and social distance in U-I collaborations, and showed that different types of intermediary organizations address the same fundamental issue of bridging the different logics of academia and industry in different ways.

TL;DR: In this article, the authors examined the relationship between smart customer experience, customer satisfaction, perceived risk, behavioral intentions, word-of-mouth intentions, stickiness to retail store, shopping effectiveness, and consumer well-being.

TL;DR: In this paper, the authors examined how innovation responds to climate change by employing various econometric methods on a panel dataset of 70 countries, patent count as a proxy for innovation, and carbon dioxide and other greenhouse gas emissions as proxies for climate change, and found that the number of climate-change-related-innovations is responding positively to increasing levels of carbon dioxide emissions from gas and liquid fuels.

TL;DR: In this article, a systematic literature review (SLR) of ecosystems based on a selection of 104 articles and books and their archetypes is presented, where business, innovation, entrepreneurial, and knowledge ecosystems are identified and discussed.

TL;DR: In this paper, the authors examined the evolution in the conceptualization of Social Innovation (SI) with a view to elucidating the multiplication of uses of the term over the last half century.

TL;DR: In this article, the authors developed and tested a structural equation model using partial least squares path modelling and survey data collected from a car-sharing website, and found that consumer intentions to rent are driven primarily by perceived economic, environmental and social benefits through the mediator of perceived usefulness, and enjoyment, in turn driven by sense of belonging to the sharing community.