Showing papers in "Technological Forecasting and Social Change in 2018"

TL;DR: The historical development, architectural design and component functionalities of big data analytics, including analytical capability for patterns of care, unstructured data analytical capability, decision support capability, predictive capability and traceability are examined.

TL;DR: In this article, the authors analyze how Industry 4.0 triggers changes in the business models of manufacturing SMEs (small and medium-sized enterprises), by conducting a qualitative research with a sample of 68 German SMEs from three industries (automotive suppliers, mechanical and plant engineering, as well as electrical engineering and ICT).

TL;DR: In this article, the authors make the case for integrating two industrial waves that promise to re-shape current patterns of production and consumption: Industry 4.0 and environmentally-sustainable manufacturing.

TL;DR: In this article, the authors developed and tested a holistic model that depicts and examines the relationships among green innovation, its drivers, as well as factors that help overcome the technological challenges and influence the performance and competitive advantage of the firm.

TL;DR: In this paper, the authors analyze the asset portfolios of different renewable energy technologies financed by different financial actors according to their size, skew and level of risk, and construct a heuristic index of risk that varies with the technology, time, and country of investment.

TL;DR: In this paper, the authors provide an overview of 90 previous studies using the ecosystem concept in this field, all published in leading academic journals, and clarifies their four major research streams.

TL;DR: The Online Labour Index (OLI) as discussed by the authors is a data repository for the data underlying the online labour index, which is used by the International Organization of Industrial Relations (IOLR).

TL;DR: In this article, the authors view Industry 4.0 as policy-driven innovation discourse in manufacturing industries that aims to institutionalize innovation systems that encompass business, academia, and politics.

TL;DR: In this article, the authors advocate the use of smart cities as the primary means to deliver urban sustainability, particularly in Europe and North America, where smart cities are increasingly advocated by governments and the private sector.

TL;DR: In this paper, the authors examined how increasing ICT penetration in sub-Saharan Africa can contribute towards environmental sustainability by decreasing CO2 emissions, based on the Generalised Method of Moments and forty-four countries for the period 2000-2012.

TL;DR: In this paper, the authors developed a model to explain how leadership interacts with absorptive capacity and organizational learning culture to influence open innovation outcomes, and empirically tested the model empirically using data sourced from managers working in diverse sectors in India.

TL;DR: In this article, the authors directly calculate substitution potentials for occupations in Germany by using German occupational data from an expert database and assess whether they can be replaced by computers or computer-controlled machines according to programmable rules.

TL;DR: The results show that the proposed net valence model can effectively explain users' intentions to seek and share health information on social media and also show important cultural differences.

TL;DR: In this article, the authors suggest implications for promoting the smart home market by analyzing factors affecting adoption and diffusion of smart homes and suggest a strategy for promoting smart home purchases by young consumers is required to increase market demand.

TL;DR: This paper systematically review the business literature related to the Internet of Things and provides a critical account of the latest state of play and a synthesis of the emerging themes and potential avenues for future research.

TL;DR: In this article, the authors conducted a four-stage Delphi study with eighteen retail experts to identify the key trends, major challenges, important technologies, and main customer touchpoints that will emerge in omnichannel retail in the next ten years.

TL;DR: Wang et al. as mentioned in this paper examined the relationship among environmental regulations (ER), staff quality (SQ), R&D efficiency (RDE), green technology (GT), and profit.

TL;DR: The theoretical understanding of the critical factors for the value creation process in the IoT industry's organisations' organisations is advanced and offers interesting implications for management theory and practice.

TL;DR: A novel approach is proposed to find the common set of weights in a two-stage network data envelopment analysis based on goal programming to analyze the joint effects of eco-efficiency and eco-innovation, considering the undesirable inputs, intermediate products, and the outputs in the context of big data.

TL;DR: In this article, the authors look at innovation ecosystems through the lens of complexity science, considering them as open non-linear entities that are characterized by changing multi-faceted motivations of networked actors, high receptivity to feedback, and persistent structural transformations.

TL;DR: The case of pharmaceutical technology shows that the proposed machine learning approach to identifying emerging technologies at early stages using multiple patent indicators that can be defined immediately after the relevant patents are issued can facilitate responsive technology forecasting and planning.

TL;DR: In this paper, the authors developed a model that judges a firm's future preparedness by assessing the need for corporate foresight (CF) and comparing it to the maturity of its CF practices.

TL;DR: In this paper, the authors investigated critical masses or thresholds of educational quality at which the diffusion of information with mobile phones enhances inclusive human development, based on simultaneity-robust fixed effects regressions with data from 49 Sub-Saharan African countries for the period 2000-2012.

TL;DR: Zhang et al. as discussed by the authors estimated land productivity in Shandong, China during 1990-2010 using the Estimation System of Land Production, then analyzed the eco-efficiency based on Stochastic Frontier Analysis.

TL;DR: In this article, the authors examined the role exerted by internal innovation efforts and external knowledge assets as dynamic capabilities to overcome adverse economic conditions and examined the differential impacts of the financial crisis in high and low-tech industries.

TL;DR: In this paper, the antecedents of behavioral intention in the context of mobile-based agricultural extension services (AES) were investigated in a rural context based on technology acceptance model (TAM).

TL;DR: A hybrid approach to the integrated analytic hierarchy process (AHP) and the technology-organizational-environment (TOE) framework is presented in order to set up a proper evaluation model that can prioritize the impact of key factors of 3D printing.

TL;DR: The findings suggest pre-encounter information search impacts positively on improved service engagement and commitment to compliance with medical instructions, and suggests a need for service providers to adopt delivery approaches that would effectively integrate patient resources to co-create value.

TL;DR: A contingent conceptual model of open innovation has been developed, where the open innovation construct is an independent variable classified as inbound or outbound, and the dependent variables are firm performance and innovation performance.

TL;DR: The intention to adopt was stronger among respondents who were aware of wearable fitness trackers than it was among those who were not aware, and consumer attitudes, personal innovativeness, and health interests had statistically significant and positive associations with the intention to adopted a wearable fitness tracker.