Founder Personalities, Behaviors and New Venture Success in Sub-Saharan Africa
This study thereby extends the entrepreneurship literature applying the Five-Factor Model of Personality to a new context while enriching knowledge on the personality-behavior relationship in entrepreneurship. Several findings and theoretical concepts are synthesized while evaluating new venture success from a behavioral lens among largely innovative, social-driven entrepreneurs in sub-Saharan countries, providing important implications for research, policy, and practice. (Source: Technological Forecasting and Social Change)
Source: Technological Forecasting and Social Change - December 4, 2019 Category: Science Source Type: research

Is there a decoupling relationship between CO2 emission reduction and poverty alleviation in China?
Publication date: February 2020Source: Technological Forecasting and Social Change, Volume 151Author(s): Gui Jin, Baishu Guo, Xiangzheng DengAbstractWhether CO2 emission reduction will inhibit poverty alleviation in a short time still remains unclear. In this paper, the extended linear expenditure system model and the CO2 emission accounting method were applied to measure the values of the poverty alleviation as well as CO2 emission reduction, and then decoupling analysis model was introduced to identify the relationship between CO2 emissions and poverty alleviation within Hubei Province, a poverty-stricken area in China. ...
Source: Technological Forecasting and Social Change - December 2, 2019 Category: Science Source Type: research

How to improve the competiveness of distributed energy resources in China with blockchain technology
Publication date: February 2020Source: Technological Forecasting and Social Change, Volume 151Author(s): Jianchao Hou, Che Wang, Sai LuoAbstractDistributed energy resources are located near users, which can realize energy cascade utilization and improve the energy utilization efficiency. The features of distributed ledgers and smart contract auto-execution possessed by blockchain technology are in line with the requirements of distributed energy resources in billing and settlement, which provides a direction for the application of blockchain technology in the distributed energy resources. The integration of distributed ene...
Source: Technological Forecasting and Social Change - December 2, 2019 Category: Science Source Type: research

Exploring how experience and learning curves decrease the time invested in scenario planning interventions
Publication date: February 2020Source: Technological Forecasting and Social Change, Volume 151Author(s): R. Ramirez, Y. Bhatti, E. TapinosAbstractScenario planning is a strategy tool which is often deemed to be too expensive and too time intensive. Drawing on learning curve theory, we set out to ascertain whether enacting scenario planning as an iterative, repetitive process and not as a one-off intervention would help practitioners to do it faster. Through a global survey of the practice of scenario planning, we relate how we failed to confirm this proposition, but instead found other factors which appear to affect the ti...
Source: Technological Forecasting and Social Change - December 2, 2019 Category: Science Source Type: research

Knowledge based analysis of continental population and migration dynamics
In this study the writer proposes a continuous mathematical model to estimate continental population and migration trends. The proposed model is based on knowledge-based population dynamics model developed earlier which was used to estimate global population levels and stability of world population under various stress scenarios. In this study one of these models are extended to include continental population and continental migration concepts. Resulting mathematical model is calibrated using historical continental population data which is a reliable data source. If historical continental migration is a zero-sum process, t...
Source: Technological Forecasting and Social Change - December 1, 2019 Category: Science Source Type: research

Decoding China's natural gas development: A critical discourse analysis of the five-year plans
This study concludes that China's natural gas penetration may not be as quick as expected, unless the institutional reform of NGD is first prioritized and more domestic natural gas suppliers are brought in to intensify market competition. Important recommendations for improving the FYPs are given at the conclusion. (Source: Technological Forecasting and Social Change)
Source: Technological Forecasting and Social Change - December 1, 2019 Category: Science Source Type: research

Do government R&D subsidies stimulate collaboration initiatives in private firms?
Publication date: February 2020Source: Technological Forecasting and Social Change, Volume 151Author(s): Joon Mo Ahn, Weonvin Lee, Letizia MortaraAbstractInput-driven policy is typically designed to support R&D and contribute to the enhancement of innovation competences in individual firms. However, it is not clear whether this ‘more is better’ approach has contributed to the establishment of a vibrant innovation ecosystem by stimulating firms’ inclination to collaborate. The current study investigates this question by analysing the data from 489 Korean innovative manufacturing firms using a propensit...
Source: Technological Forecasting and Social Change - December 1, 2019 Category: Science Source Type: research

The relationship between digitalization and servitization: The role of servitization in capturing the financial potential of digitalization
Publication date: February 2020Source: Technological Forecasting and Social Change, Volume 151Author(s): Marko Kohtamäki, Vinit Parida, Pankaj C. Patel, Heiko GebauerAbstractThe present study investigates the effect of the interaction between digitalization and servitization on the financial performance of manufacturing companies. We challenge the simple linear assumption between digitalization and financial performance with a sample of 131 manufacturing firms and hypothesize a nonlinear U-shaped interaction effect between digitalization and servitization on financial performance. From low to moderate levels of digita...
Source: Technological Forecasting and Social Change - December 1, 2019 Category: Science Source Type: research

Quantifying technological change as a combinatorial process
Publication date: Available online 25 November 2019Source: Technological Forecasting and Social ChangeAuthor(s): Pedro Parraguez, Stanko Škec, Duarte Oliveira e Carmo, Anja MaierAbstractTechnological change plays a critical role in industrial- and societal development. As a consequence, modelling, measuring and monitoring the rate and direction of technological change has been extensively studied. However, there is to-date no scalable, cross-domain, and data source agnostic quantitative indicator for technological change that considers a combinatorial process of invention and technology development. This paper devel...
Source: Technological Forecasting and Social Change - November 26, 2019 Category: Science Source Type: research

Editorial Board
Publication date: December 2019Source: Technological Forecasting and Social Change, Volume 149Author(s): (Source: Technological Forecasting and Social Change)
Source: Technological Forecasting and Social Change - November 21, 2019 Category: Science Source Type: research

The role of government in fostering collaborative R&D projects: Empirical evidence from South Korea
Publication date: Available online 19 November 2019Source: Technological Forecasting and Social ChangeAuthor(s): Sung Joo Bae, Hyeonsuh LeeAbstractIn latecomer countries, governments and their research laboratories play an important role in guiding the direction of technology development at the national level. However, the exact mechanism of how these institutional forces influence national collaborative R&D projects remains unclear and understudied. From the selection-variation process perspective of technology evolution, we argue that governments provide a strong signaling effect to attract other entities into collab...
Source: Technological Forecasting and Social Change - November 20, 2019 Category: Science Source Type: research

Consumers’ value co-creation in sharing economy: The role of social support, consumers’ ethical perceptions and relationship quality
Publication date: Available online 19 November 2019Source: Technological Forecasting and Social ChangeAuthor(s): Waqar Nadeem, Mari Juntunen, Farid Shirazi, Nick HajliAbstractThe ancient phenomenon of ‘sharing’ has become mainstream, and transformed the traditional consumer behavior due to proliferation of online sharing economy platforms. Millions of people participate in popular sharing economy platforms (SEPs) such as Airbnb and Uber. Although sharing economy research has gained interest, yet a holistic model that explains the formation of consumer value co-creation intentions on such platforms remains absen...
Source: Technological Forecasting and Social Change - November 20, 2019 Category: Science Source Type: research

Technology learning and diffusion at the global and local scales: A modeling exercise in the REMIND model
Publication date: Available online 19 November 2019Source: Technological Forecasting and Social ChangeAuthor(s): Shuwei Zhang, Nico Bauer, Guangzhi Yin, Xi XieAbstractEmpirical studies on technology advancement and regional diffusion indicate that technology learning is a multi-scale process driven by factors such as globally traded equipment and local accumulation of experience. This understanding should be incorporated in energy-economy models to improve the model representation and policy recommendations. The present study augments the large-scale, integrated assessment model REMIND for this purpose. To answer the resea...
Source: Technological Forecasting and Social Change - November 20, 2019 Category: Science Source Type: research

Multi-technology interaction in socio-technical transitions: How recent dynamics in HVDC technology can inform transition theories
Publication date: Available online 19 November 2019Source: Technological Forecasting and Social ChangeAuthor(s): Allan Dahl Andersen, Jochen MarkardAbstractStudies of socio-technical transitions have often focused on niche emergence or on the interaction of niche and regime technologies in a ‘single-sector’ setting. Such analyses are particularly important in the early stages of transitions, when there is a primary interest in developing novel technologies. In later phases, transitions do not only involve multiple technologies but also multiple sectors, which means that the complexity of technology dynamics inc...
Source: Technological Forecasting and Social Change - November 20, 2019 Category: Science Source Type: research

Incumbent-led transitions and civil society: Autonomous vehicle policy and consumer organizations in the United States
Publication date: Available online 20 November 2019Source: Technological Forecasting and Social ChangeAuthor(s): David J. HessAbstractThe transition to connected and autonomous (or automated) vehicles (CAVs) in the United States is used to explore the role of civil society in the acceleration and deceleration of sociotechnical transitions. This is an “incumbent-led transition,” which occurs when large industrial corporations in one or more industries lead a systemic technological change. This type of transition may generate public concerns about risk and uncertainty, which can be expressed and mobilized by civi...
Source: Technological Forecasting and Social Change - November 20, 2019 Category: Science Source Type: research

Assessing consumer readiness for participation in IoT-based demand response business models
Publication date: January 2020Source: Technological Forecasting and Social Change, Volume 150Author(s): Miloš Radenković, Zorica Bogdanović, Marijana Despotović-Zrakić, Aleksandra Labus, Saša LazarevićAbstractThe paper studies the consumer readiness for participation in new business models for demand response in electricity markets. The main premise is that consumers’ attitudes, if considered during the development, ensure that the business model meets the interests of the consumers, while still maintaining a focus on its original purpose. The goal of the paper is twofold: to develop a new business...
Source: Technological Forecasting and Social Change - November 20, 2019 Category: Science Source Type: research

Robust decision making and Epoch–Era analysis: A comparison of two robustness frameworks for decision-making under uncertainty
Publication date: Available online 16 November 2019Source: Technological Forecasting and Social ChangeAuthor(s): Enayat A. Moallemi, Sondoss Elsawah, Michael J. RyanAbstractSeveral model-based frameworks have been introduced in support of robust decision-making. While they agree on a need to cope with uncertainty for robust inferences, the frameworks differ in the way that they treat uncertainty and obtain decision insights. In this article, we compare and contrast two such frameworks: Robust Decision Making and Epoch–Era Analysis. We critically analyse the two frameworks in terms of their aims and expected decision ...
Source: Technological Forecasting and Social Change - November 18, 2019 Category: Science Source Type: research

Are global R&D partnerships enough to increase a company's innovation performance? The role of search and integrative capacities
This study addresses this research gap by empirically analyzing the interrelation between global R&D partnerships, search and integrative capacities, and innovation performance. We tested our hypotheses on a sample of 112 medium-sized Italian firms with established GPs, leveraging a Partial Least Square (PLS) Structural Equation Model (SEM). Our results suggest that knowledge drawn from GPs plays a vital role in the innovation processes of the analyzed firms, but only when combined with the development of both of the internal sub-capacities we investigated (namely search and integrative capacities) thus, demonstrating ...
Source: Technological Forecasting and Social Change - November 13, 2019 Category: Science Source Type: research

The relationship between twitter and stock prices. Evidence from the US technology industry
Publication date: December 2019Source: Technological Forecasting and Social Change, Volume 149Author(s): Emanuele Teti, Maurizio Dallocchio, Alberto AniasiAbstractThe widespread use of social media and the amplified interest have enormously increased the amount of data available on these platforms. This paper aims at exploring the use of social media as a tool for investing, verifying the relationship with stock prices. Rather than focusing on a market index, we analyze the technology industry in the U.S., to understand if this methodology can be used not only to capture the wider sentiment of the market, but also to inves...
Source: Technological Forecasting and Social Change - November 9, 2019 Category: Science Source Type: research

Sociotechnical convex hulls and the evolution of transportation activity: A method and application to US travel survey data
Publication date: December 2019Source: Technological Forecasting and Social Change, Volume 149Author(s): John Mulrow, Sybil Derrible, Constantine SamarasGraphical abstract (Source: Technological Forecasting and Social Change)
Source: Technological Forecasting and Social Change - November 9, 2019 Category: Science Source Type: research

Why do we need ‘Problem-oriented Innovation System (PIS)’ for solving macro-level societal problems?
Publication date: January 2020Source: Technological Forecasting and Social Change, Volume 150Author(s): Sepehr Ghazinoory, Shohreh Nasri, Fatemeh Ameri, Gholam Ali Montazer, Ali ShayanABSTRACTThe number of theories of innovation systems has grown considerably over the past two decades and several innovation system approaches have been developed. The focus of most has been on the development of technological innovations which create economic value.However, addressing macro-level societal problems – sociotechnical and environmental challengesin which the production, dissemination and use of social and technical knowled...
Source: Technological Forecasting and Social Change - November 9, 2019 Category: Science Source Type: research

Open government data portals in the European Union: Considerations, development, and expectations
Publication date: December 2019Source: Technological Forecasting and Social Change, Volume 149Author(s): Susana de Juana-Espinosa, Sergio Luján-MoraAbstractThe goal of open government data (OGD) initiatives is to promote transparency, efficiency and public participation in public management policies. To do so, public organizations must consider which elements might help the development of their open government data portals (OGDP). This paper studies the evolution of OGDP in the 28 countries of the European Union (EU) in a multidisciplinary setting. Whereas the comparative frameworks in the literature are mostly base...
Source: Technological Forecasting and Social Change - November 7, 2019 Category: Science Source Type: research

A novel machine learning approach for evaluation of public policies: An application in relation to the performance of university researchers
Publication date: December 2019Source: Technological Forecasting and Social Change, Volume 149Author(s): María Teresa Ballestar, Luis Miguel Doncel, Jorge Sainz, Arturo Ortigosa-BlanchAbstractResearch has become the main reference point for academic life in modern universities. Research incentives have been a controversial issue, because of the difficulty of identifying who are the main beneficiaries and what are the long-term effects. Still, new policies including financial incentives have been adopted to increase the research output at all possible levels. Little literature has been devoted to the response to thos...
Source: Technological Forecasting and Social Change - November 7, 2019 Category: Science Source Type: research

Knowledge discovery through higher education census data
Publication date: December 2019Source: Technological Forecasting and Social Change, Volume 149Author(s): Silvia Regina Machado de CAMPOS, Roberto Henriques, Mitsuru Higuchi YanazeAbstractUniversities have three core missions: teaching, researching, and public service. Even though the Education environment has become more marketized, to survive, the Higher Education Institutions (HEIs) must behave like non-profit organizations, prioritizing revenue creation, the public good and serving as providers of value for society through creation and dissemination of knowledge and educational development Kaplan (Kaplan, 2016; Huggins&...
Source: Technological Forecasting and Social Change - November 6, 2019 Category: Science Source Type: research

Influence of cultural dimensions on promotional e-mail effectiveness
Publication date: January 2020Source: Technological Forecasting and Social Change, Volume 150Author(s): Ángel J. Lorente-Páramo, Ángel Hernández-García, Julián Chaparro-PeláezGraphical abstract (Source: Technological Forecasting and Social Change)
Source: Technological Forecasting and Social Change - November 6, 2019 Category: Science Source Type: research

Modeling Americans’ autonomous vehicle preferences: A focus on dynamic ride-sharing, privacy & long-distance mode choices
This study emphasizes AV mode choices, including Americans’ willingness to pay (WTP) to ride with a stranger in a shared AV fleet vehicle on various trip types and the long-distance travel impacts of AVs. Exactly 2,588 complete responses to a stated-preference survey with 70 questions provide valuable insights on privacy concerns, safety and dynamic ride-sharing with strangers, long-distance travel and preferences for smarter vehicles and transport systems. Two hurdle models (which allow for a high share of zero-value responses) were estimated: one to predict WTP to share a ride and another to determine WTP to anonym...
Source: Technological Forecasting and Social Change - November 6, 2019 Category: Science Source Type: research

Industry 4.0: A bibliometric review of its managerial intellectual structure and potential evolution in the service industries
Publication date: December 2019Source: Technological Forecasting and Social Change, Volume 149Author(s): Marcello Mariani, Matteo BorghiAbstractThe “industry 4.0" phenomenon is expected to influence almost every aspect of business value chains, and hence it has been increasingly analyzed by management scholars. However, the overarching intellectual structure emerging from this new stream of literature has not yet been synthesized in a framework nor critically discussed. Furthermore, despite being part of the rhetoric in several recent industrial governmental plans, industry 4.0 in service sectors has not been sy...
Source: Technological Forecasting and Social Change - November 4, 2019 Category: Science Source Type: research

Experience in R&D collaborations, innovative performance and the moderating effect of different dimensions of absorptive capacity
Publication date: January 2020Source: Technological Forecasting and Social Change, Volume 150Author(s): Marios Kafouros, James H Love, Panagiotis Ganotakis, Palitha KonaraAbstractUsing a multi-stage research design and insights from organizational learning theory, we investigate how experience in R&D collaboration with different types of domestic and foreign partners (customers, suppliers, competitors) influences the formation of new R&D collaborations with foreign partners, and how such collaborations in turn affect firms’ innovative performance. Our framework, which is tested against a sample of 8800 firms ...
Source: Technological Forecasting and Social Change - November 4, 2019 Category: Science Source Type: research

Smart factory performance and Industry 4.0
This study analyzes the causal relationship between this degree of openness and performance, with an empirical analysis based on a sample representing local manufacturing units. Performance is measured by the extent of opportunities businesses obtain. The degree of openness is investigated using two indicators: breadth, or the number of technologies used; and depth, or the number of value chain stages involved. The regression models demonstrate that: (1) breadth and (2) depth of Industry 4.0 allow greater opportunities, and (3) micro-level local units achieve best performances. Verifying the opportunities for companies wit...
Source: Technological Forecasting and Social Change - November 4, 2019 Category: Science Source Type: research

The evolution of the financial technology ecosystem: An introduction and agenda for future research on disruptive innovations in ecosystems
Publication date: Available online 1 November 2019Source: Technological Forecasting and Social ChangeAuthor(s): Maximilian Palmié, Joakim Wincent, Vinit Parida, Umur CaglarAbstractAt a time when many mature industries have been fundamentally transformed by disruptive innovations, prominent examples such as Apple and Uber reflect how disruptive innovations often originate at the ecosystem or system level rather than in individual firms. Unfortunately, the academic literature has paid little attention to the role of ecosystem development and evolution in relation to disruptive innovations. To overcome this oversight, ...
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

Knowledge growth in university-industry innovation networks – Results from a simulation study
Publication date: Available online 1 November 2019Source: Technological Forecasting and Social ChangeAuthor(s): Chongfeng Mao, Xianyun Yu, Qing Zhou, Rainer Harms, Gang FangAbstractUniversity-industry innovation networks (UIINs) are important agents of innovation, as they bring together the unique profiles of higher education and industry partners. Knowledge growth in these networks does not happen automatically. We analyze the impact of network density and heterogeneity on knowledge growth in UIINs. Knowledge grows through knowledge transfer, spillover, and knowledge innovation. Knowledge growth is a function of each agen...
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

Moderating effect of firm size on the influence of corporate social responsibility in the economic performance of micro-, small- and medium-sized enterprises
This study analyzes the moderating effect of firm size on the influence of CSR actions on the economic performance of MSMEs. This work has two purposes: first, to empirically test the “social impact” hypothesis of stakeholder theory, which assumes that CRS positively impacts EP; second, to analyze the moderating effect of the MSME size on this hypothesis. The results obtained using the PLS-SEM technique based on a sample of 278 Spanish firms confirm that MSMEs that carry out CSR activities in their economic, social and environmental aspects improve their economic performance, and this relationship is moderated ...
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

Mapping product and service innovation: A bibliometric analysis and a typology
This study is unique in its methodological proposition to systematically review the innovation scholarship of more than 1,400 articles through comprehensive, quantified, and objective methods that offer transparent and reproducible results. The study provides some clarity regarding the classifications and characteristics of the innovation typology. (Source: Technological Forecasting and Social Change)
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

Comparison of human versus technological support to reduce domestic electricity consumption in France
Publication date: January 2020Source: Technological Forecasting and Social Change, Volume 150Author(s): Morgane Innocent, Agnes Francois-Lecompte, Nolwenn Roudaut (Source: Technological Forecasting and Social Change)
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

The Delphi technique in forecasting– A 42-year bibliographic analysis (1975–2017)
Publication date: January 2020Source: Technological Forecasting and Social Change, Volume 150Author(s): Andrew Flostrand, Leyland Pitt, Shannon BridsonAbstractSince the infancy of the Delphi Technique for collecting and aggregating expert insight, this methodological tool has been discussed, adapted and applied in over 2,600 published scholarly papers to date. This paper mines the major citation indexing services to analyze five dimensions of these data: primary contribution (methodological or applied), field and subfield, length (in pages), year, and journal/conference. Interpreted visual analytics of these five dimension...
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

Distance from the technology frontier: How could Africa catch-up via socio-institutional factors and human capital?
Publication date: January 2020Source: Technological Forecasting and Social Change, Volume 150Author(s): Gouranga G. Das, Imed DrineAbstractDrawing on stylized evidences on emerging economies and Sub-Saharan Africa, we ask: why some countries lag while some are fast in catching-up? By considering a tripartite grouping—advanced North, dynamic emerging Southern engines of growth, and laggards in Sub-Saharan Africa—this paper (i) uses the metafrontier approach for measuring the technology gap between the African nations and emerging economies, and (ii) tests the relationship between the technology gap, educational ...
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

Digital entrepreneurship ecosystem: How digital technologies and collective intelligence are reshaping the entrepreneurial process
Publication date: January 2020Source: Technological Forecasting and Social Change, Volume 150Author(s): Gianluca Elia, Alessandro Margherita, Giuseppina PassianteAbstractDigital technologies have nowadays a significant impact on how new business ventures are imagined and created. The arising technology paradigm is leveraging the potential of collaboration and collective intelligence to design and launch more robust and sustainable entrepreneurial initiatives. However, although the topic of digital entrepreneurship is relevant and timely, there is a limited literature discussion on the real impact of digital technologies an...
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach
The objective of this study was to develop 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 WHT adoption by elderly. The model used in the current study was analyzed in two steps. In the first step, a Structural Equation Modeling (SEM) was used to determine significant determinants that affect the adoption of WHT. In the second step, a neural network model was applied to validate the findings in step 1 and establish the relative importance...
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

Green innovation and environmental performance: The role of green transformational leadership and green human resource management
Publication date: January 2020Source: Technological Forecasting and Social Change, Volume 150Author(s): Sanjay Kumar Singh, Manlio Del Giudice, Roberto Chierici, Domenico GrazianoAbstractDrawing upon the resource-based view and the ability-motivation-opportunity theory, we examined how green human resource management interplays on to the linkages amongst green transformational leadership, green innovation and environmental performance. Using a survey questionnaire, we collected triadic data from 309 manufacturing sector small and medium-sized enterprises (SMEs). We used covariance-based structural equation modeling (SEM) t...
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

Synthesizing scenario planning and industry recipes through an analysis of the Hollywood film industry
Publication date: January 2020Source: Technological Forecasting and Social Change, Volume 150Author(s): James Bezjian, Veselina Stoyanova, Peter McKiernan, R. Bradley MacKayAbstractThis paper creates a theoretical construct through the synthetization of industry recipes in the Hollywood film industry and scenario planning's intuitive logics approach. It illustrates how the incumbent-challenger paradox coupled with the industry recipes framework can provide a robust scenario narrative. Through a multiple case study approach, an industry recipe is constructed, the industry recipe factors are identified. Then the intuitive lo...
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

The digital transformation of external audit and its impact on corporate governance
Publication date: January 2020Source: Technological Forecasting and Social Change, Volume 150Author(s): Riadh Manita, Najoua Elommal, Patricia Baudier, Lubica HikkerovaAbstractThe literature demonstrates the growing interest of digitalization in organizations. The purpose of this paper is to study the influence of digitalization on audit’s business and to understand how it can improve the role of audit as a governance mechanism. A qualitative approach was conducted by interviewing auditors from the five largest auditing firms in France. This paper demonstrates that digital technology is impacting at five key levels a...
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

Dual models and technological platforms for efficient management of water consumption
Publication date: January 2020Source: Technological Forecasting and Social Change, Volume 150Author(s): Manuel Rey-Moreno, Cayetano Medina-MolinaAbstractThe social and environmental challenges facing the planet require changes in consumption patterns. It is common in the literature to propose growth models of growth and persuasive technology to respond to the scarcity of resources from an efficient management of demand. In this situation, the paper analyzes the facilitator and inhibitor factors (dual models) which affect the intention to use and the effective use of a platform that monitors water consumption. A focus group...
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

Technology transfer, climate change mitigation, and environmental patent impact on sustainability and economic growth: A comparison of European countries
This study sought to fill the gap in research on the role of technology transfer in the European continent (i.e., countries inside and outside the Eurozone) by focusing on environment-related patents. The research also included examining the effects of environmental water-related adaptation technology and climate change mitigation patents on real gross domestic product. The results contribute to the literature on technology transfer policies by highlighting how environmental patents influence Europe’s economic growth rate and whether countries’ geographical location can affect their level of entrepreneurship an...
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

Consumer confidence: Causality links with subjective and objective information sources
This study analyses the relationship of causality between consumer confidence and the economic information ecosystem from subjective (i.e., business sentiment) and objective sources (financial information from listed companies and the stock index). Our sample covers Spain from June 2011 to December 2018. Our results show that consumer confidence and economic information can exert a causality influence on each other. The results show Granger causality from IBEX35 and total assets in the financial sector and leverage of the companies in the energy sector to the consumer confidence index (CCI), in the first lag: from operatin...
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

Do you see what I see? How differing perceptions of the environment can hinder radical business model innovation
Publication date: January 2020Source: Technological Forecasting and Social Change, Volume 150Author(s): Kathrine Friis-Holm Egfjord, Kristian J. SundAbstractIncumbent firms face the challenge of how to adapt to disruptive changes in the external environment. One way to solve this challenge is to allocate resources to identifying and exploring new trends and opportunities emerging from the environment that may affect existing business models, and guide the development of new ones. As has been widely acknowledged, many incumbents fail at more radical business model innovation. Few studies have examined the role of cognition ...
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

The digital divide in light of sustainable development: An approach through advanced machine learning techniques
This study uses advanced data analysis techniques to analyze the main socioeconomic digital skills drivers of the Spanish population. This information allows us to identify whether the population has training needs in relation to their digital competences, which will have a positive influence on improving the level of sustainable development of the country. (Source: Technological Forecasting and Social Change)
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

Driving total factor productivity: Capital and labor with tax allocation
Publication date: January 2020Source: Technological Forecasting and Social Change, Volume 150Author(s): Bing Xu, Javier Sendra-García, Yanxia Gao, Xiaohui ChenAbstractIn small and micro enterprises, the capital and labor input change frequently with time, which is difficult to observe directly. Therefore, it is a challenging problem to measure total factor productivity, the source of sustainable economic growth. This paper establishes a new time-varying production function model to measure the Total Factor Productivity for small and micro enterprises, as well as its corresponding technological progress and efficienc...
Source: Technological Forecasting and Social Change - November 3, 2019 Category: Science Source Type: research

Big data insights into social macro trends (1800–2000): A replication study
Publication date: December 2019Source: Technological Forecasting and Social Change, Volume 149Author(s): Steffen Roth, Peter Schwede, Vladislav Valentinov, Krešimir Žažar, Jari Kaivo-ojaAbstractSeeking to advance a big data approach to social theory, Roth et al. (2017) applied the Google Ngram Viewer to explore the way the evolution of the function systems of the modern society is reflected in the Google Books corpus. The authors produced a highly counterintuitive finding that the modern Western societies cannot be adequately described as capitalist. In order to respond to the controversies raised by this fin...
Source: Technological Forecasting and Social Change - November 1, 2019 Category: Science Source Type: research

Estimation of productivity growth in the Saudi higher education sector
Publication date: December 2019Source: Technological Forecasting and Social Change, Volume 149Author(s): Yaseen Ghulam, Wael I. MousaAbstractStudies on higher educational sector efficiencies and productivities based on newly developed non-parametric techniques such as α-quantile estimator are not common compared to in other industries. By using an advanced non-parametric estimator to overcome dimension and outlier issues, we investigate the performance of Saudi Arabian higher education institutions during the period 2008 to 2014, a period characterized by a significant increase in the government educational budget an...
Source: Technological Forecasting and Social Change - October 31, 2019 Category: Science Source Type: research

Six foresight frames: Classifying policy foresight processes in foresight systems according to perceived unpredictability and pursued change
Publication date: December 2019Source: Technological Forecasting and Social Change, Volume 149Author(s): Matti Minkkinen, Burkhard Auffermann, Ira AhokasAbstractForesight is conducted in diverse ways drawing on particular sets of assumptions, and it increasingly takes place in networked foresight systems. We develop a typology of six foresight frames based on two dimensions: 1) level of perceived unpredictability and 2) level of pursued change. By frames, we mean the interpretive structures that underlie foresight actors’ work. The six foresight frames are the predictive, planning, scenaric, visionary, critical and t...
Source: Technological Forecasting and Social Change - October 31, 2019 Category: Science Source Type: research