Showing papers in "Technological Forecasting and Social Change in 2020"

TL;DR: In this article, the authors examined how green human resource management interplays on to the linkages between green transformational leadership, green innovation and environmental performance, and found that green HRM indirectly through green innovation influences firm's environmental performance.

TL;DR: In this paper, a causal relationship between the degree of openness and performance of companies with Industry 4.0 is analyzed. But, the authors do not consider the impact of enabling technologies on the performance of local manufacturing units.

TL;DR: In this paper, a collective intelligence approach is adopted to define a descriptive framework and identify the distinguishing genes of a digital entrepreneurship ecosystem, and four dimensions associated to digital actors, digital activities, digital motivations, and digital organization are defined and discussed.

TL;DR: In this paper, the influence of corporate social responsibility (CSR) on environmental performance, using data from 297 large manufacturing firms in Malaysia, was investigated, and it was shown that CSR has no direct significant influence on environmental performances, but is positively correlated to environmental strategy and green innovation, which again improve environmental performance.

TL;DR: In this article, the authors investigate how motivational factors and personal attributes influence social media fatigue and the sharing of unverified information during the COVID-19 pandemic, and they develop a model which they analyse using the structural equation modelling and neural network techniques with data collected from young adults in Bangladesh (N = 433).

TL;DR: In this article, the effect of the interaction between digitalization and servitization on the financial performance of manufacturing companies is investigated and the results demonstrate the need for an effective interplay between digitalisation and servITization.

TL;DR: The impact and revolution of FinTech and Blockchain in the financial industry is described and the main characteristics of such technology are demonstrated and how financial services should respond to this new technology and how to manage knowledge sharing in a more structured way is suggested.

TL;DR: The study explores all the possible services among various city dimensions which can make a city smart and suggests multi-dimensional service classification along with required basic infrastructural development.

TL;DR: In this article, an extended stochastic impact by regression on population, affluence and technology model was used to estimate both the effect and the transmission channels of ICT on CO2 emissions in 21 sub-Saharan African countries from 1996 to 2014.

TL;DR: This paper reviews the potential applications integrating UAVs in smart cities, their implications, and the technical and non-technical issues facing such integration.

TL;DR: An empirical investigation would provide a detailed insight as to how these wearable Internet Of Things devices would bring about a revolution in the healthcare industry and how the probability of increase in its usage can be increased with time.

TL;DR: In this article, a complex eco-efficiency (EE) system composed of multidimensional components with entropy flows was proposed for an economic region, the Yangtze River Economic Belt, in China.

TL;DR: In this article, a job creation assessment for the global power sector from 2015 to 2050 is estimated and presented on a regional basis, and it is found that the global direct jobs associated with the electricity sector increases from about 21 million in 2015 to nearly 35 million in 2050.

TL;DR: Analysis of causality or influences that both markets, Bitcoin price (BP) and oil price (OP) have on each other by applying the bootstrap Granger causal relationship tests reveals that shocks originated in OP and transmitted towards BP can be both positive or negative.

TL;DR: Based on refined indicators and a dynamic spatial panel model, a comprehensive framework to quantify the impact of the industrial structure and technical progress on the CEI and conduct empirical research on 281 prefecture-level cities in China during 2006-2016.

TL;DR: In this paper, the authors present a systematic review of the state of knowledge and develop a novel framework for the enactment of the Third Mission (TM), which is a multidisciplinary, complex, evolving phenomenon linked to the social and economic mission of Universities.

TL;DR: The authors analytically reviews the three theories, focusing on the relevance of each theory for transitions and the MLP, the theory's conceptualisation of agency, and criticisms of each theories and subsequent conceptual elaborations.

TL;DR: Wang et al. as mentioned in this paper used the panel data of China's A-share listed firms in 2008-2016, and adopts difference in difference-in-difference (DDD) model constructs a quasi-natural experiment on the impacts of CETS on quantity and quality of innovation.

TL;DR: In this paper, a research model is proposed suggesting that developing a digital organisational culture facilitates both the process of business digitization and the generation of value from digital tools, with the ultimate goal of improving organisational performance.

TL;DR: A decline in the efficiency of forex markets during the COVID-19 outbreak is demonstrated and heterogeneous effects on the strength of multifractality of exchange rate returns under investigation are observed.

TL;DR: In this paper, the authors developed a theoretical model on the basis of extended Unified Theory of Acceptance and Use of Technology (UTAUT2) with additional constructs- resistance to change, technology anxiety, and self-actualization, to investigate the key predictors of wearable healthcare technology adoption by elderly.

TL;DR: In this article, the authors investigated the role of AI, robotics stocks and green bonds in portfolio diversification, using daily data from 2017 to 2020, using tail dependence as copulas and the Generalized Forecast Error Variance Decomposition to examine the volatility connectedness.

TL;DR: In this paper, a Structured Literature Review (SLR) about the strategic role of Intellectual Capital (IC) for achieving sustainable development goals (SDGs) is provided, which offers an outline of past and present literature and frames a future research agenda.

TL;DR: This paper presents a case study for intelligent transportation in the context of a smart city, and a novel data modelling methodology based on a biologically inspired universal generative modelling approach called Hierarchical Spatial-Temporal State Machine (HSTSM).

TL;DR: Wang et al. as discussed by the authors took carbon emissions resulting from cultivated land use into the measurement framework of CLUE, and a slack-based measure (SBM) model with undesirable outputs, boxplot, kernel density estimation and Tobit regression model are adopted for the analysis of 31 provinces in China from 2000 to 2017.

TL;DR: A profound influence of all dimensions of IC, both overall and by dimensions on organizations’ ambidexterity is indicated, which can enable a firm to maintain a balance between innovation and market exploitation activities.

TL;DR: The results suggest the existence of cointegration between CO2 emissions and its determinants, and suggest policy prescriptions by using financial development and R&D expenditures as the key tools to meet the emissions target.

TL;DR: In this article, the authors define disruptive innovation ecosystems and illustrate the impact that the financial technology (FinTech) ecosystem has had on disrupting the financial services industry, and discuss the evolution of the FinTech ecosystem.

TL;DR: Wang et al. as mentioned in this paper decomposed technological changes into environmental technological changes and production technological changes, and analyzed the effects of technological progress on carbon emissions by embedding the Solow residual model into the logarithmic mean Divisia index model.

TL;DR: In this paper, the authors analyzed the impact of artificial intelligence on technological innovation through logic reasoning and empirical modeling based on industrial robot data provided by the International Federation of Robotics (IFR) and the panel data of China's 14 manufacturing sectors from 2008 to 2017.