scholarly journals Will Communication of Job Creation Facilitate Diffusion of Innovations in the Automobile Industry?

2021 ◽  
Vol 14 (1) ◽  
pp. 36
Author(s):  
Fan Zeng ◽  
Chris Kwan Yu Lo ◽  
Stacy Hyun Nam Lee
Keyword(s):  
Diffusion Of Innovation ◽  
Automobile Industry ◽  
Road Safety ◽  
Diffusion Of Innovations ◽  
New Technologies ◽  
Job Creation ◽  
Public Acceptance ◽  
Innovation Analysis ◽  
Safety Range ◽  
Public Concerns

The electrification and automation of vehicles are two upcoming trends in the automobile industry. However, these two new technologies also raise public concerns related to road safety, range, and, most crucially, job creation in the automotive and transportation industries. This study investigates if job creation facilitates the diffusion of innovation. Analysis of 32,006 tweets from 33 global automobile manufacturers and their international job creation records revealed that communication of job creation can improve stakeholders’ adverse social media engagement on vehicle electrification and automation, the latest innovations in transportation and logistics. Car manufacturers should continually communicate their job creation achievements to gain public acceptance when introducing innovations, which may improve the diffusion of innovations.

Use of Diffusion of Innovations Theory in Medical Informatics Research

2012 ◽  
Vol 7 (3) ◽  
pp. 44-56 ◽  
Author(s):  
Fred K. Weigel ◽  
R. Kelly Rainer ◽  
Benjamin T. Hazen ◽  
Casey G. Cegielski ◽  
F. Nelson Ford
Keyword(s):  
Content Analysis ◽  
Medical Informatics ◽  
Diffusion Of Innovation ◽  
Diffusion Of Innovations ◽  
New Technologies ◽  
Analysis Method ◽  
Journal Articles ◽  
Diffusion Of Innovations Theory ◽  
Work Processes ◽  
Content Analysis Method

The authors examine the use of tenets of diffusion of innovations theory in the medical informatics literature to reveal how the theory has and can continue to provide a basis for scholars seeking to align their research with the theory. A content analysis method was used to examine over 2,000 journal articles from the fields of medical informatics, medicine, and information systems. The authors found that tenets of diffusion of innovations theory were prevalent in the literature. Although several theories are useful in explaining phenomenon in the domain of medical informatics, diffusion of innovation is one such theory that can be applicable to a vast amount of medical informatics research that is focused on new technologies or work processes.

scholarly journals The views of health guideline developers on the use of automation in health evidence synthesis

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Anneliese Arno ◽  
Julian Elliott ◽  
Byron Wallace ◽  
Tari Turner ◽  
James Thomas
Keyword(s):  
Diffusion Of Innovation ◽  
Systematic Reviews ◽  
Diffusion Of Innovations ◽  
New Technologies ◽  
Guideline Development ◽  
Evidence Synthesis ◽  
Analytical Framework ◽  
Relative Advantage ◽  
Full Potential ◽  
Novel Technologies

Abstract Background The increasingly rapid rate of evidence publication has made it difficult for evidence synthesis—systematic reviews and health guidelines—to be continually kept up to date. One proposed solution for this is the use of automation in health evidence synthesis. Guideline developers are key gatekeepers in the acceptance and use of evidence, and therefore, their opinions on the potential use of automation are crucial. Methods The objective of this study was to analyze the attitudes of guideline developers towards the use of automation in health evidence synthesis. The Diffusion of Innovations framework was chosen as an initial analytical framework because it encapsulates some of the core issues which are thought to affect the adoption of new innovations in practice. This well-established theory posits five dimensions which affect the adoption of novel technologies: Relative Advantage, Compatibility, Complexity, Trialability, and Observability. Eighteen interviews were conducted with individuals who were currently working, or had previously worked, in guideline development. After transcription, a multiphase mixed deductive and grounded approach was used to analyze the data. First, transcripts were coded with a deductive approach using Rogers’ Diffusion of Innovation as the top-level themes. Second, sub-themes within the framework were identified using a grounded approach. Results Participants were consistently most concerned with the extent to which an innovation is in line with current values and practices (i.e., Compatibility in the Diffusion of Innovations framework). Participants were also concerned with Relative Advantage and Observability, which were discussed in approximately equal amounts. For the latter, participants expressed a desire for transparency in the methodology of automation software. Participants were noticeably less interested in Complexity and Trialability, which were discussed infrequently. These results were reasonably consistent across all participants. Conclusions If machine learning and other automation technologies are to be used more widely and to their full potential in systematic reviews and guideline development, it is crucial to ensure new technologies are in line with current values and practice. It will also be important to maximize the transparency of the methods of these technologies to address the concerns of guideline developers.

scholarly journals The views of health guideline developers on the use of automation in health evidence synthesis

2020 ◽  
Author(s):  
Anneliese Downey Arno ◽  
Julian Elliott ◽  
Byron Wallace ◽  
Tari Turner ◽  
James Thomas
Keyword(s):  
Diffusion Of Innovation ◽  
Systematic Reviews ◽  
Diffusion Of Innovations ◽  
New Technologies ◽  
Guideline Development ◽  
Evidence Synthesis ◽  
Analytical Framework ◽  
Relative Advantage ◽  
Full Potential ◽  
Novel Technologies

Abstract Background: The increasingly rapid rate of evidence publication has made it difficult for evidence synthesis – systematic reviews and health guidelines -- to be continually kept up to date. One proposed solution for this is the use of automation in health evidence synthesis. Guideline developers are key gatekeepers in the acceptance and use of evidence, and therefore their opinions on the potential use of automation are crucial. Methods: The objective of this study was to analyze the attitudes of guideline developers towards the use of automation in health evidence synthesis. The Diffusion of Innovations framework was chosen as an initial analytical framework because it encapsulates some of the core issues which are thought to affect the adoption of new innovations in practice. This well-established theory posits five dimensions which affect the adoption of novel technologies: Relative Advantage, Compatibility, Complexity, Trialability, and Observability.Eighteen interviews were conducted with individuals who were currently working, or had previously worked, in guideline development. After transcription, a multiphase mixed deductive and grounded approach was used to analyze the data. First, transcripts were coded with a deductive approach using Rogers’ Diffusion of Innovation as the top-level themes. Second, sub-themes within the framework were identified using a grounded approach.Results: Participants were consistently most concerned with the extent to which an innovation is in line with current values and practices (i.e. Compatibility in the Diffusion of Innovations framework). Participants were also concerned with Relative Advantage and Observability, which were discussed in approximately equal amounts. For the latter, participants expressed a desire for transparency in methodology of automation software. Participants were noticeably less interested in Complexity and Trialability, which were discussed infrequently. These results were reasonably consistent across all participants. Conclusions: If machine learning and other automation technologies are to be used more widely and to their full potential in systematic reviews and guideline development, it is crucial to ensure new technologies are in line with current values and practice. It will also be important to maximize the transparency of the methods of these technologies to address the concerns of guideline developers.

Diffusion of Innovations

2014 ◽  
pp. 136-153
Author(s):  
Fred K. Weigel ◽  
Benjamin T. Hazen
Keyword(s):  
Medical Informatics ◽  
Diffusion Of Innovation ◽  
Diffusion Of Innovations ◽  
New Technologies ◽  
Meta Analysis ◽  
Empirical Literature ◽  
Future Research ◽  
Journal Articles ◽  
Diffusion Of Innovations Theory ◽  
Work Processes

In this chapter, the authors discuss the use of diffusion of innovations as a foundational theory for research in the medical informatics discipline. They performed a meta-analysis to examine the enduring efficacy of the tenets of diffusion of innovations. Then, they performed a content analysis to examine over 2,000 journal articles from the fields of medical informatics, medicine, and information systems. The authors found that tenets of diffusion of innovations theory were prevalent in much of the literature and that the relationships proposed by diffusion of innovations theory have remained significant in the empirical literature. Although several theories are useful in explaining phenomenon in the domain of medical informatics, diffusion of innovation is one such theory that can be applicable to a vast amount of medical informatics research focused on new technologies or work processes, and the authors suggest that scholars use and/or synthesize it with additional theory to provide a foundation for future research in this area.

Selecting early adopters to foster the diffusion of innovations in industrial markets

2017 ◽  
Vol 20 (4) ◽  
pp. 620-644 ◽  
Author(s):  
Mattia Bianchi ◽  
Anthony Di Benedetto ◽  
Simone Franzò ◽  
Federico Frattini
Keyword(s):  
Diffusion Of Innovation ◽  
Diffusion Of Innovations ◽  
New Technologies ◽  
Trial And Error ◽  
Content Type ◽  
Early Adopters ◽  
Industrial Markets ◽  
Longitudinal Case Studies ◽  
Practical Implications

Purpose The purpose of this paper is to bring new empirical evidence to the controversial role of early adopters in the diffusion of innovations in industrial markets. Design/methodology/approach The authors apply an actor market configuration perspective to the analysis of four longitudinal case studies regarding the commercialization of new products in the textile, plastic and energy industries. Findings The diffusion of innovation is an interactive and iterative process where the commercializing firm engages in repeated interactions with different categories of companies that are targeted as potential early adopters. This process ends when the commercializing firm identifies a category of early adopters that can stimulate subsequent acceptance in the later market, by playing one of the following two roles, i.e. word-of-mouth trigger and industry benchmark. During this process, through which the role of the early adopters is constructed proactively by the commercializing firm, the product innovation is also subject to changes to provide a better fit with the selected category of early adopters. Research limitations/implications The paper calls for a re-conceptualization of the diffusion process, from a passive identification of early adopters to an interactive process that entails a trial-and-error approach in the targeting and involvement of different categories of early adopters, which ends when the innovation reaches the desired levels of diffusion. Practical implications The study provides managers with a number of recommendations for selecting the most proper category of early adopters for their innovations, depending on the role they are more likely to play and the influence they will exert on subsequent acceptance in the later market. Social implications The study provides managers with a number of recommendations for targeting, through a trial-and-error process, early adopters and working with them to champion the dissemination of new technologies. Originality/value This paper significantly adds to existing literature on the diffusion of innovation, which has up to now conceived early adopters as static and given entities, which cannot be proactively selected by the commercializing firm, and innovation as an immutable object.

scholarly journals Is There a Predisposition towards the Use of New Technologies within the Traffic Field of Emerging Countries? The Case of the Dominican Republic

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1208
Author(s):  
Francisco Alonso ◽  
Mireia Faus ◽  
Cristina Esteban ◽  
Sergio A. Useche
Keyword(s):  
Dominican Republic ◽  
Road Safety ◽  
New Technologies ◽  
Technological Development ◽  
Personal Data ◽  
Emerging Countries ◽  
Level Of Knowledge ◽  
One Year ◽  
The One ◽  
And Control

Technological devices are becoming more and more integrated in the management and control of traffic in big cities. The population perceives the benefits provided by these systems, and, therefore, citizens usually have a favorable opinion of them. However, emerging countries, which have fewer available infrastructures, could present a certain lack of trust. The objective of this work is to detect the level of knowledge and predisposition towards the use of new technologies in the transportation field of the Dominican Republic. For this study, the National Survey on Mobility was administered to a sample of Dominican citizens, proportional to the ONE census and to sex, age and province. The knowledge of ITS topics, as well as the use of mobile applications for mobility, are scarce; however, there was a significant increase that can be observed in only one year. Moreover, technology is, in general, positively assessed for what concerns the improvement of the traffic field, even though there is a lack of predisposition to provide one’s personal data, which is necessary for these devices. The process of technological development in the country must be backed up by laws that protect the citizens’ privacy. Thus, technologies that can improve road safety, mobility and sustainability can be implemented in the country.

scholarly journals From automobile capitalism to platform capitalism: Toyotism as a prehistory of digital platforms

2021 ◽  
pp. 017084062110306
Author(s):  
Marc Steinberg
Keyword(s):  
Automobile Industry ◽  
New Technologies ◽  
Digital Platforms ◽  
New Era ◽  
Data Intensive ◽  
New Organizational Forms ◽  
Production Practice ◽  
Industry Applications ◽  
Digital Artefact ◽  
The Relationship

This article explores the automotive lineage and manufacturing origins of platforms. Challenging prevailing assumptions that the platform is a digital artefact, and platform capitalism a new era, this article traces crucial elements of platform capitalism to Toyotist automobile manufacture in order to rethink the relationship between technology and organization. Arguing that the very terminology and industry applications of the ‘platform’ emerge from the automobile industry over the course of the 20th century, this article cautions against the uncritical adoption of epochal paradigms, or assumptions that new technologies require new organizational forms. By parsing the platform into two types, the stack and the intermediary, this article demonstrates how the platform concept and data-driven production practice both develop out of the Toyota Production System in particular, and American and Japanese analyses of it. Toyotism, we show, is the unseen industrial and epistemological background against which the platform economy plays out. In making this case, this article highlights the crucial continuities between the data intensive production of companies like Uber and Amazon – emblematic of digital platform capitalism – and the organizational paradigms of the automobile industry. At a moment when the automobile returns to prominence amidst platforms such as Uber, Didi Chuxing, or Waymo, and as we find tech companies turning to automobile manufacturing, this automotive lineage of the platform offers a crucial reminder of the automotive origins of what we now call platform capitalism.

scholarly journals How customers’ offline experience affects the adoption of online banking

2016 ◽  
Vol 26 (5) ◽  
pp. 1072-1092 ◽  
Author(s):  
Antonia Estrella-Ramon ◽  
Manuel Sánchez-Pérez ◽  
Gilbert Swinnen
Keyword(s):  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Financial Services ◽  
New Technologies ◽  
Online Banking ◽  
Adoption Process ◽  
Content Type ◽  
Parametric Survival Model ◽  
Self Service Technology ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of customers’ offline transaction behaviour in the form of loyalty and cross-buying on the adoption of self-service technology innovations by non-business customers in the context of online banking. Design/methodology/approach This study extends the Diffusion of Innovation Theory, as well as the Technology Acceptance Model adapted to describe and model individual customer observed behaviours in the pre-adoption stage of the adoption process. The Log-logistic parametric survival model is applied using panel data for 1,357 randomly selected new customers from a bank. Findings Significant differences arise among customers’ behaviours related to periodicity of interactions with the bank and quantity of products involved in the interactions, as well as convenience and risk of the interactions. The results corroborate that those customers who are more likely to adopt the online banking faster show an offline behavioural pattern more related to higher periodicity of interactions and convenience, rather than a high number of products involved in their interactions, the use of high-risk products or the maintenance of a higher average monthly liabilities. Originality/value While previous research explaining the process of adoption of the online channel has mainly focused on the analysis of customers’ attitudes (i.e. customers’ perceptions) and demographics, in this research an additional explanation is proposed using customers’ offline transaction behaviours. In addition, there is a considerable amount of research about the adoption of new technologies, but there is a scarcity of studies looking specifically at the financial services and banking industry.

scholarly journals A Smart Automobile for Intelligent Traffic System using VANET Protocols

2020 ◽  
Vol 8 (5) ◽  
pp. 223-230
Keyword(s):  
Routing Protocol ◽  
Automobile Industry ◽  
Routing Protocols ◽  
Road Safety ◽  
Ad Hoc ◽  
Traffic Density ◽  
Traffic System ◽  
Vehicle Communication ◽  
Advantages And Disadvantages ◽  
Intelligent Traffic System

The overall automobile industry in the world has encountered remarkable growth, vehicle increases traffic density which seems in increasing accidents. Thus the automobile Industries, researchers and government are shifted their focus in the direction of improving on-road safety instead of improving the condition of the roads. The top development in the wireless technologies emerged a diverse new sort of networks together with Vehicular Ad Hoc Network, VANET uses wireless network technology wherein driving gets safer by inter-vehicle communication. Using this technology, automobiles are not only envisioned to contact between each other, but also to get information from and transmit data to infrastructural units. In this, we have discussed about the traits and applications of VANET along with routing protocols. The routing protocols states how two communiqué individuals interchange information which covers the methods to generate path, to retain the route or improve from routing fiasco. In this we have explained two routing protocols i.e. Topology based routing protocol and Geographic (Position-based) routing protocol with its types, advantages and disadvantages as well as we have examined the performance of AODV and GPSR routing protocols using quality matrix.

Introduction

2016 ◽  
Author(s):  
David J. Hess
Keyword(s):  
Climate Change ◽  
Public Opinion ◽  
Molecular Biology ◽  
Industrial Pollution ◽  
New Technologies ◽  
Regulatory Agencies ◽  
The Political ◽  
Public Concerns

Many of the political problems of the day—climate change, industrial pollution, nanomaterials, new technologies of surveillance, and the products of molecular biology—involve complex scientific and technological issues that can provoke sharp divisions in public opinion. Often environmentalists and other advocates of change call for policies that address public concerns with new and existing technologies, and often industrial corporations reply that such concerns are unwarranted and that their technologies are safe and broadly beneficial. Legislatures, regulatory agencies, executive offices, the courts, and voters find themselves caught in the middle, and sometimes they also become divided over how best to develop and to regulate industry....

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