Diffusion Of Technological Innovations Research Articles

Key factors of marketing strategies of mobile service innovations

In order to increase profits, a growing number of telecommunication firms and related services industries are offering mobile service products that integrate marketing and trade functions for both firms and consumers. This study discusses key marketing factors in terms of both case studies and statistics to develop integrated quality and quantity evaluations for mobile service innovations. Technology acceptance model and innovation diffusion theory are both referenced in developing a conceptual framework to verify consumer attitudes and adoption behaviours toward mobile service innovations. Research results have verified that the specific factors of TAM and IDT positively affect consumer attitudes toward the adoption of mobile services, and that higher adoption attitudes effectively increase consumer usage intentions. Furthermore, self-efficacy levels of consumers play significant negative moderating roles on the specific marketing factors that influence adoption attitudes. Study findings provide development directions and promotion strategies for mobile service innovations in the mobile commerce market.

The Decision of Enterprises during the Process of Technological Innovation Diffusion Based on Real Option Theory

Based on real option theory, the article analyses the decision-making of enterprises during the process of technological innovation diffusion under an uncertain circumstance. Under the assumption that the returns of enterprises follow geometric Brownian motion, the article firstly estimates the transition value of imitating technology innovators and the average latency of imitation, then it analyses the influence of every parameter on the diffusion process. It can be concluded that both the market demand and the rate have significant effects on the diffusion rate of innovative technology.

Modeling Expansive Phenomena in Early Complex Societies: the Transition from Bronze Iron Age in Prehistoric Europe

The Bronze Age/Iron Age transition in Prehistoric Europe represents a perfect case study to test different and competing hypotheses of social dynamics and economic change in small-scale societies. The paper discusses the possibilities of modeling what could have happened in Europe between 1800 and 800 bc, in terms of spatiotemporal dynamics. The paper presents some theoretical aspects of the dynamic study of expansive phenomena and gives an overview of a computer model programmed to explain the way new burial forms expanded in Europe. The main idea is comparing classic demic diffusion models (spread of population), cultural transmission models (spread of ideas), and technological innovation diffusion model (spread of goods). We will present the fundamentals of a preliminary study towards the computational simulation of such hypothetical social mechanisms, using a dataset composed of more than 1,500 georeferenced and radiocarbon dated archaeological contexts of a period between the Early Bronze Age and the first Iron Age (1800–800 bc) from an area including the North-East of Iberian Peninsula, Southern France, Northern and Central Italy, Switzerland, Austria, and Southern Germany.

Acceptance of ICT-mediated teaching/learning systems for elementary school teachers: Moderating effect of cognitive styles

Literature has paid limited attention to the preference of instructors to adopt e-teaching/learning system (ET/LS) by considering the cognitive styles. The current study proposes a research model to describe the effects of technology acceptance behavior and innovation diffusion behavior on ET/LS adoption for elementary school instructors. A salient aim of the research is to explore the moderating effect of cognitive styles (analytical and intuitive) on the relationship between variables and adoption willingness. An empirical examination that includes research model, measurement, sampling plan, and data analysis is conducted in the context of elementary school. Data is collected via designed questionnaire. Based on the analysis results of 340 valid samples, main research findings were obtained. First, compatibility is unlikely a factor for both-styled subjects to explain the adoption attitude of ET/LS due to the set technological education policy and strategy. Second, cognitive style likely moderates the effect of ease of use on the adoption attitude for the analysis-styled subjects. Third, trialability and playfulness are significant factors that both-styled subjects perceive as related to the adoption attitude. Discussion and implications are also presented.

The Role of Investor Sentiment in the Diffusion of Technological Innovation

I study the effect of investor sentiment on the relation between firm-level R&D and lagged economy-wide technological innovation. Following periods of intense technological progress, firms have an incentive to invest in R&D to, for instance, imitate technological leaders or to understand how to best use a new technology. However, frictions like financing constraints and informational externalities can lower R&D. Investor sentiment is known to positively affect corporate investment, which implies that sentiment might counteract the frictions that reduce R&D. I find that rapidly improving sentiment strengthens the effect of innovation on one-year-ahead R&D, in particular for financially-constrained high-tech firms.

Internet Banking: An Exploration in Technology Diffusion and Impact

This paper studies the diffusion and impact of a cost-saving technological innovation — Internet banking. Our theory characterizes the process through which the innovation is adopted sequentially by large and small banks, and how the adoption affects bank size distribution. Applying the theory to an empirical study of Internet banking diffusion among banks across 50 U.S. states, we examine the technological, economic and institutional factors governing the process. The empirical findings allow us to disentangle the interrelationship between Internet banking adoption and change in average bank size, and explain the variation in diffusion rates across geographic regions.

The acceptance of information technology innovations in hospitals: differences between early and late adopters

The increasing maturity of information technologies (IT) in hospitals and their infrastructure development is improving the quality and efficiency of healthcare services. In these circumstances, an investigation of the diffusion of IT in this context would provide some insight into adopters’ behaviours and further the diffusion of IT in the near future. The purpose of this paper is to conduct an investigation of the diffusion of IT’s innovations in hospitals. Technology acceptance model and innovation diffusion theory have been applied in this research trying to find factors that permit an effective discrimination between early and late adopters. The differences in characteristics between these two categories are assessed and implications based on the research findings are discussed.

Early Adoption of Climate Information: Lessons Learned from South Florida Water Resource Management

AbstractSeasonal climate forecasting skill has improved over the past decades, accompanied by expectations that these forecasts, along with other climate information, will be increasingly used by water managers in certain regions of the United States. Most research efforts focus on why adoption does not occur; however, the important question of why adoption does occur has received little attention. Barriers to the use of climate information by this sector frequently identified include risk aversion, institutional constraints, and low forecast reliability. Relatively fewer researchers have focused on the identification and analysis of cases of adoption of climate information in the water management sector. Relying upon the results from observations and semistructured interviews conducted between 2006 and 2010 in South Florida, this research identifies the characteristics that enabled the early adoption of climate information by the South Florida Water Management District, one of the largest water management organizations in the United States. The findings herein are analyzed in relation to existing theories on technology transfer and innovation diffusion. Lessons from this specific case are situated in the context of the broader U.S. water management landscape. The research finds that the existence of in-house climate expertise, innovative agency culture, social networks linking water and climate science researchers, and serendipitous policy windows were critical factors enabling adoption. Additionally, models and information, including a long-range hydrologic model and a national government–issued seasonal climate forecast were readily available and could be incorporated into preexisting and trusted decision-support tools. Implications for climate services in the U.S. water sector are discussed.

An Empirical Research on Technological Innovation Diffusion Channel of IT Firms in the Yangtze River Delta

An Empirical Research on Technological Innovation Diffusion Channel of IT Firms in the Yangtze River Delta

전사적자원관리(ERP) 시스템의 조직 내 확산에 대한 저항요인 분석

This paper focuses on the systematic approach to handle possible resistance by the members of an organization which adopts ERP system. We also analyze various factors that affect the members` receptivity to the new system. The analytic result from the data of 169 universities shows that emotional factors such as fear and doubt play a significant role, while other factors such as relative advantages of efficiency, relative advantages of system and technology support does not. This research demonstrates both the psychological and behavioral aspects of resistance to technology, and then provides a new perspective on the adoption and diffusion of technological innovation in an organization by systematically analyzing the possible negative consequences while the majority of existing research emphasizes on the rosy prospects of the innovation.

Remote Channels as an Opportunity in Redesigning Portuguese Banks’ Business Model – an Empirical Study in Lisbon Metropolitan Area

Facing an unfavorable economic environment since 2007 the Portuguese banking sector has been unable to generate profitability levels capable of ensuring the industry's attractiveness to investors. The solvency adequacy measures required by regulatory authorities forced the paradigm change in the banking business model. The widespread diffusion of technological innovation in Portuguese society enhances the use of remote banking access channels such as internet banking service (IB) and the ATM, while the traditional branch channel usage is decreasing. A study conducted in the Lisbon area, with 191 responses obtained, revealed that the channels with greater usage intensity are the ATM and IB. It further revealed that there are behavior dimensions on the IB use with direct effect on customer retention. Satisfaction with IB service, perceived switching costs and favorable price perception affect customer retention in their IB service. The findings of this research also confirm that satisfaction with IB service and perceived service price have a direct effect on repurchase intention.

IMPERFECT TRANSMISSION OF TECHNOLOGY SHOCKS AND THE BUSINESS CYCLE CONSEQUENCES

We investigate the business cycle effects of imperfect transmission of technology shocks within a basic real business cycle (RBC) model along two dimensions. First, we assume that agents cannot distinguish a temporary increase in productivity growth from a sustained increase in the underlying growth rate of productivity and instead must conduct signal extraction exercises and update beliefs about the source of aggregated shocks. Second, we propose a technology adjustment cost resulting in the slow diffusion of technological innovations into the production process. Both of these impediments to the transmission of technology result in a large initial wealth effect, increasing investment and hours less, relative to the usual RBC model without these frictions. Furthermore, each of these features is capable of producing a decline in hours on impact of the technology shock matching the negative response in hours found in the data by such works as Gali [American Economic Review89(1), 249–271 (1999)].

ETS and Technological Innovation: A Random Matching Model

The present paper investigates the functioning of an Emission Trading System (ETS) and its impact on the diffusion of environmental-friendly technological innovation in the presence of firms’ strategic behaviours and sanctions to non-compliant firms. For this purpose, we study an evolutionary game model with random matching, namely, a context in which a population of firms interact through pairwise random matchings. We assume that each firm has to decide whether to adopt a new clean technology or keep on using the old technology that requires pollution permits to operate and that the strategy whose expected payoff is greater than the average payoff spreads within the population at the expense of the alternative strategy (the so-called replicator dynamics). We investigate the technological dynamics and the stationary states that emerge from the model. From the analysis of the model, we show that by properly modifying the penalty on non-compliant firms, it is possible to shift from one dynamic regime to another and that an increase in permits trade can promote the diffusion of innovative pollution-free technologies.

The diffusion of disruptive technological innovation and emergence of international new venture: A case study of Korea's venture firms in Set-Top Box industry

The diffusion of disruptive technological innovation and emergence of international new venture: A case study of Korea's venture firms in Set-Top Box industry

A selection framework for infrastructure condition monitoring technologies in water and wastewater networks

The global water sector faces significant challenges to maintain secure and reliable service provision in the context of ageing infrastructure, urban growth, and with investment capacity constrained by user affordability. As part of an on-going effort to meet these challenges, research has been undertaken to facilitate the diffusion of technological innovations within the concept of “Intelligent Networks”. This diffusion has been facilitated by the formation of a consortium of water utilities in Victoria, Australia. The consortium has engaged with Intelligent Network concepts due to a need to prolong network asset life where possible; defer or remove the need for asset augmentation, reduce the operational expenditure (by reducing asset failures and incident response times), and minimise the impact of asset failures on communities and the environment. The literature on innovation diffusion indicates that the uptake of new technologies is influenced by subjective perceptions. As such, key research challenges were to understand where technologies could be used to improve asset management, identify potential condition monitoring techniques, elicit best available knowledge with respect these technologies and provide advice on where their application was likely to reflect a rational economic decision. To ensure a targeted review, “failure pathway” diagrams were first constructed to identify and relate influences controlling asset deterioration and failure. Elements of failure pathways were used to identify parameters that, by effective monitoring, could provide an early indication of asset distress and the opportunity to intervene and avoid reactive maintenance costs. Alternatively, parameters were also identified that could inform the deferral of capital expenditure on asset replacement and augmentation. The failure pathway provided the basis for the identification of 19 candidate monitoring technologies which were subsequently reviewed. Each technology identified was assessed against capital and on-going maintenance costs and the perceived benefit of implementation. Benefits were expressed in terms of how the new information acquired would enhance the asset owner’s ability to defer asset augmentation/renewals and avoid reactive maintenance costs/externalities. The project provided a prioritised set of monitoring technologies that are currently progressing towards pilot trials in the field.

Adoption of Mobile Technology by Farmers in Southwest-Nigeria

This study evaluates the behavioral intention of farmers in selected areas of Nigeria to adopt mobile technology for agricultural purposes. A theoretical framework was developed based on the technology acceptance model (TAM) and innovation diffusion theory (IDT). Five variables were evaluated. Convenience sampling was employed in the investigation. A total of 202 responses were retrieved. Factor analysis was performed to test the reliability and validity of the measurement items. Correlation analysis was used to test the conformity of the empirical data with the presumed model using SPSS version 16. All five measurement items: perceived ease of use, perceived usefulness, relative advantage, compatibility, and attitude were found to be direct predictors of adoption behavior. The study provides evidence for the potential of mobile technology in agriculture.

Grapevines of Innovation: Ozone as a Cleaning Agent in the California Wine Industry

AbstractThis article examines the diffusion of technological innovation within the California wine industry by studying the adoption of ozone-cleaning technology. The paper compares ozone with other sanitizing systems and reviews current perspectives on innovation diffusion and adoption before describing and analyzing the results of a 2007 industry survey completed by 128 California wineries. We find that the decision to adopt ozone-cleaning technology was correlated with its economic advantages but not with either demographics of decision makers or variables indicative of a winery's ability to absorb new information. (JEL Classification: Q1, Q16, O33)

Trade, FDI, Growth and Biodiversity: An Empirical Analysis for the Main OECD Countries

Whether the Environmental Kutznets curve relationship holds for biodiversity or not remains an open issue. While there are several studies investigating the EKC relationship for biodiversity, they suffer from some limitations and the empirical evidence is inconclusive. More specifically, with few exceptions, the previous EKC studies for biodiversity looked into the diversity of a particular species or a number of species rather than a broader measure of biodiversity. In addition, these studies do not control for some economic factors that could directly or indirectly affect the biodiversity stock such as trade and foreign direct investments (FDI). International trade, in fact, could influence the biodiversity trough the effects on economic growth, production specialization and technological innovation diffusion. The presence or not of FDI in a country could be of help in assessing the “pollution haven” hypothesis that has obvious feedbacks on biodiversity. The innovative features of this paper are its attempts to estimate a ECK for biodiversity using an overall index of biodiversity terrestrial and marine and the inclusion in the traditional ECK equation of proxies for trade and FDI. According to our estimates for the main OECD countries in the period 1990-2010, the ECK hypothesis is partially verified. Rising incomes are first associated with increasing biodiversity then with decreasing biodiversity and eventually with increasing biodiversity again. This non-monotonic relationship could be explained by the fact that a certain level of income (production) there may be some biodiversity losses that cannot be continuously substituted with environmental-friendly production technology due to ecological threshold and the unique nature of the damage.

Innovation attributes and pedagogical quality: a concretization of joint theories on course management systems acceptance

The utilization of information and communication technologies in support of teaching and learning is still on its way to expand its potentials in higher education. Facing different venues of course delivery, computer-mediated communication technologies seem to be the most efficient and cost-effective. Since the mid-1990s, course management systems (CMSs) have gradually evolved, and taken an irreplaceable important role in higher education. From the perspectives of pedagogical impact and instructional resource consumption, Morgan (2003) considered that CMSs form the academic system equivalent of enterprise resource planning systems. Based on an extensive review on the Technology Acceptance Model (TAM) and Innovation Diffusion Theory (IDT) at the outset, this study bridges the TAM and IDT, and proposes a conceptual model of the acceptance of CMSs to acknowledge antecedents (i.e., innovation attributes, self-efficacy (SE), pedagogical quality (PQ) and perceived evaluation of function (EF)). Theoretically, the perceived innovation attributes of CMSs impact users’ perceived usefulness (PU) and actual use (AU). The antecedents, such as SE, PQ, and EFs, are also anticipated to have impacts on the AU and use of perception. PU is influenced by perceived ease of use (PEOU), while behavioral intention (BI) is concurrently influenced by PEOU and PU. Moreover, AU is influenced by BI. Finally, discussion and suggestions for future research of the proposed model are also provided.

Simulation of technological innovation network diffusion in focal firm cored industrial clusters

This paper studies the processes and results of technological innovation diffusion in industrial clusters with focal firms as cores by network simulation. The technological innovation diffusion networks in these industrial clusters with three important kinds of communication channels have close relationships with final product systems, a new kind of network prototypes for them is brought in, and its construction method is introduced systematically. The technological innovation processes can be divided into different types due to technical innovation ambiguity, adoption cost evolution mechanism and channel power effect, a series of scenarios are designed in which different technical innovation diffusion processes are simulated respectively on swarm platform. The results represent the effects of these key determinants on the diffusion scope and speed as well as their relationships with the network structure.