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This paper aims to develop a parsimonious and innovative model that captures the dynamics of new product diffusion in the recent high-technology markets and thus assist both academicians and practitioners who are eager to understand the diffusion phenomena. Accordingly, this study develops a novel diffusion model to forecast the demand by centering on the dynamic state of the product’s adoption rate. The proposed study also integrates the consumer’s psychological point of view on price change and goodwill of the innovation in the diffusion process.

In this study, a two-dimensional distribution function has been derived using Cobb–Douglas’s production function to combine the effect of price change and continuation time (goodwill) of the technology in the market. Focused on the realistic scenario of sales growth, the model also assimilates the time-to-time variation in the adoption rate (hazard rate) of the innovation owing to companies changing marketing and pricing strategies. The time-instance upon which the adoption rate alters is termed as change-point.

For validation purpose, the developed model is fitted on the actual sales and price data set of dynamic random access memory (DRAM) semiconductors, liquid crystal display (LCD) monitors and room air-conditioners using non-linear least squares estimation procedure. The results indicate that the proposed model has better forecasting efficiency than the conventional diffusion models.

The developed model is intrinsically restricted to a single generation diffusion process. However, technological innovations appear in generations. Therefore, this study also yields additional plausible directions for future analysis by extending the diffusion process in a multi-generational environment.

This study aims to assist marketing managers in determining the long-term performance of the technology innovation and examine the influence of fluctuating price on product demand. Besides, it also incorporates the dynamic tendency of adoption rate in modeling the diffusion process of technological innovations. This will support the managers in understanding the practical implications of different marketing and promotional strategies on the adoption rate.

This is the first attempt to study the value-based diffusion model that includes key interactions between goodwill of the innovation, price dynamics and change-point for anticipating the sales behavior of technological products.

The purpose of this qualitative multiple case study was to gain a deeper understanding of the views of stakeholders residing within impoverished communities in Angola on rapid technology diffusion and its implication on labor market challenges within their regions. To address this gap, and consistent with the qualitative paradigm, this paper conducted methodological triangulation of the study’s multiple data sources, including semistructured interviews and archival data in the form of government labor reports, reflective field notes and archival data to establish the trustworthiness of the study’s data analysis and findings.

A gap in the literature exists between the general diffusion of technological innovations and socioeconomic development that results in an ambiguous connection between theory, academia and professional practice among sub-Saharan African countries. To inform governments in developing countries on how to effectively achieve the diffusion of innovations (DoI), this integrative literature review supports a broader qualitative multiple case study that offers insights into the views of stakeholders residing within impoverished communities in Angola, on rapid technology diffusion and its implication for labor market challenges. This overview of existing research offers a targeted knowledge base that can support future research and help promote the potential for socioeconomic development in low-income countries. By addressing the patterns of the relationship between various economic imbalances and the adoption of technology that promote the social divide, along with highlighting the importance of understanding the overall technological dualism between various social groups, promises effective policies for successful DoI in impoverished sub-Saharan African regions by evaluating its impact on local labor market challenges.

The results of this multiple case study research oversee a thematic analysis of the data collected based on the study’s multiple sources, following a cross-case analysis in which this paper synthesizes the findings of the initial thematic analysis of data to answer the study’s central research question. The multiple case study approach in this research follows the concept of replication logic discussed by Yin (2017) in which the same findings are replicated across multiple cases as similarities and differences are traced across cases, and the study results obtained in this way are deemed robust and reliable.

A potential key limitation in this study was associated to the participants’ limited experiences about the study’s central phenomenon, which if inadequate, could not have been reflective of the challenges faced and shared by the target population. This study mitigates the limitation with an observation in which a much sharper understanding of the participants’ knowledge about the topic of interest was developed. Another limitation was the sample size that could have been small and may not be representative of the entire population. This study mitigates the limitation through careful interpretation of the data and strong conclusion of results.

For practical implications, this study emphasized the importance of participative approaches to ICT implementation that if well adapted by policymakers could lead to a more contextually anchored ICT-supported poverty alleviation within different dimensions of poverty.

This study addresses an under-researched area on why innovation policy initiatives calling for technology diffusion in Angola continue to stall rather than combating labor market challenges in impoverished communities. This study brings the voices of local populations on technology diffusion in impoverished regions of Angola to the extant literature, launching the development of a body of knowledge that may point the way to a promising avenue of social change through innovation and technology diffusion.

This research is original and significant in that it addresses an under-researched area on innovation policy initiatives calling for technology diffusion in Angola that continue to stall rather than combating labor market challenges in impoverished communities. This study also makes an original contribution to Rogers’s seminal theory and concept of diffusion of innovations. The study’s results guided further research in technology adoption and innovation diffusion within Angola, a nation faced with poor human capital development and an increasing proportion of the world’s poorest people and unemployment.

The aim of this paper is to explore the benefit of forecasting emerging biomedical therapy technologies as well as the rate of diffusion of resultant biomedical products in the context of management of technology.

The research method is exploratory using a case study approach. Techniques such as bibliometric analysis and the Bass diffusion model are utilized to assess the growth rate and market penetration of pulsed electromagnetic field therapy (PEMF) as a technology.

The penetration and growth rate of user acceptance of the technology in a global context are simulated across a 15‐year period. The technology forecasting model is also used in a case study to simulate the penetration of a product using ten years' medical application data of a patented pulsed electromagnetic field for biomedical therapy application in the global context. Useful correlation between bibliometric data for PEMF and real data for the case study is illustrated.

The research is limited to the case of PEMF data presented. Further research may be done on other PEMF technology applications.

Aspects of a holistic management model that was developed for high technology companies are invoked in the practical realisation of the professional paradigm shift required when an emerging biomedical therapy technology is in the process of becoming mainstream.

It has been shown that technology diffusion traces exist for PEMF therapy technology as is evident from the bibliometric PEMF global data presented. Furthermore it is possible to simulate the PEMF therapy technology diffusion process with a Bass diffusion model incorporating innovation imitation and market size coefficients.

The purpose of this paper is to evaluate the diffusion patterns of eight information technologies that are transforming HR service‐delivery in North America and Europe: HR functional applications, integrated HR suites, IVR systems, HR intranets, employee and manager self‐service applications, HR extranets, and HR portals. Little is known about the diffusion process for these innovations within or across countries despite mounting professional and academic interest in their proliferation.

The paper shows that external‐, internal‐, and mixed‐influence models were applied to the HRIT‐adoption decisions of a cross‐sectional sample of US, Canadian, UK and Irish firms. Parameter estimation was guided by nonlinear regression procedures with starting values for p and q set at levels similar to those reported in prior IT‐diffusion studies. Senior HR executives provided the underlying data by means of a dynamically branching, web‐based survey.

The paper finds that overall diffusion was best characterized as an outgrowth of internal influences, fueled primarily by contacts among members in the social system of potential adopters. Similar results were obtained when controls were introduced for national setting, targeted end‐user, and technology type.

The paper shows that future investigations would benefit from higher response rates outside of North America and the utilization of smaller time intervals to identify when each application was acquired.

In the paper the modest correlation between the number of acquired ITs and HR‐transaction automation supports the general call for more formalized HR‐technology strategies at the firm‐level to coordinate purchasing and implementation decisions.

In addition to reviewing the extant literature on HR information systems, this paper presents the first empirical study of the diffusion process for HR software applications within and across countries.

Knowledge management during the pandemic has been a challenging task due to the sudden intervention of technology in the organisational environment and the unexpected shift to the work-from-home culture. This study aims to investigate the role of technology intervention in the relationship between knowledge diffusion and knowledge application.

A cross-sectional study was conducted and data were collected from 541 employees who were working from home during the pandemic in India.

This study found significant relationships between knowledge diffusion and technology intervention. This study also observed the mediating role of technology intervention in the relationship between knowledge diffusion and knowledge application.

Tis study stands with other pioneering studies that have explored the role of technology intervention in the knowledge diffusion–application relationship using the job demand-resource model.

Based on data collected over a 15 year period (2000–2015) for 89 countries selected across nine geopolitical regions of the world, the purpose of this paper is to explore the role of economic development and the Hofstede index of national cultures in influencing level of government effectiveness and ICT diffusion; as well as the impact of ICT diffusion on government effectiveness. The level of economic development and a country’s ranking on the E-government index were found significant in explaining ICT diffusion and level of government effectiveness, respectively. But the findings also indicate that only the cultural factors such as Indulgence and long-term orientation (LTO) were quite significant in explaining level of government of effectiveness and ICT diffusion, respectively. The findings conclude that while some cultural factors may provide partial explanations for a country’s level of government effectiveness or ICT diffusion, but for other cultural elements, the path of influence is still unclear and at best debatable. Hence, in light of the growing emphasis placed on it in the literature, the effect of culture is limited and may have been overstated. ICT diffusion, while a necessary tool for administrative efficiency, is only but one piece of a larger puzzle and should be developed in consideration of and in the context of a broader framework of economic development, institutional design and behavioral practices.

This study examines how existing ICT diffusion and infrastructures among a set of 89 countries spread across nine world geopolitical zones has been able to improve their government effectiveness – as measured by their relative scores or rankings on the global “government effectiveness index” over a 15 year period (2000–2015); and also how specific cultural factors may influence the level of ICT diffusion. Drawing data from the United Nations e-Government knowledge database, the United Nations Development Program, the GlobalEconomy.com, as well as other socio-demographic sources, I examine key and associated indicators that influence information technology diffusion and its contributory effects on level of government effectiveness; as well as the impact of national cultures on ICT diffusion.

Overall, the finding from this analysis point to the fact that only two of the Hofstede national culture variables were significant (LTO and Indulgence). The other four national culture variables (Power Distance, Individualism, Masculinity/Femininity and Uncertainty Avoidance) were not. Indulgence has a negative effect on level of government effectiveness, while LTO has a positive effect on ICT diffusion. The other culture variables were not significant in any of the regression models, but they seem to congregate much closer to or around the mean.

This is the only work of its kind that has utilized the seven Hofstede indicators to test for the relationship between culture and technology over a long period of 15 years.

The main research target of this paper is to capture the network effects using the case of mobile cellular telephony, identified in European telecommunication markets, and its determinants enhancing the process of digital technologies diffusion.

This research relies on panel and dynamic panel regression analysis. The empirical sample covers 30 European countries, and the period for the analysis is set for 2000–2019.

This work contributes by examining the network effects identified on European telecommunication markets that drive the process of digital technologies diffusion, but it also extends the understanding of the latter by tracing major determinants of fast network expansion, e.g. prices of access to and use of, per capita income, urbanisation, population density, accessibility of fixed telephony infrastructure. The main findings support the initial supposition that the installed base strongly enhances diffusion of new technologies, while other factors, for example, prices, are not of prime importance.

This research has certain managerial implications. The unveiled network effects driving adoption of technological innovations constitute a significant determinant of implementation of differentiation strategy by telecommunication companies. Due to network effects consumers' propensity to join the network is valued higher than the prices of services offered, which is crucial not only from the perspective of the company's pricing strategy but also enables telecommunication companies to introduce to the market new products and/or services concentrating on increasing its quality and usability rather than future prices.

This is the first work that empirically verifies the intercompanies and interpersonal diffusion of cellular telephony, hypothesising that this process relies on unique network effects.

The purpose of this paper is to explore how a company which developed an environmentally friendly innovation attempted to address diffusion issues. Specifically, the purpose is to describe the ways in which an electric vehicle (EV) infrastructure company, in partnership with a major car manufacturer, tried to address barriers to diffusion of an environmentally friendly innovation during the development stage to improve the likelihood of success and lessons learned from its failure.

The authors explore a single instrumental case of an Israeli company that developed infrastructure for EVs in partnership with a major automaker. The authors collected data using a series of semi-structured interviews at the companies’ headquarters, through direct observation in the company, and through the examination of archival and secondary data sources.

The authors find that the company tried to incorporate design features in both the product and organization to address key diffusion barriers identified through survey and consumer focus research. The study maps product/service design innovations for infrastructure that combined with multi-stage organizational diffusion strategies for EVs, were used to address both functional (usage, value, and risk) and psychological (tradition and image) barriers for mass-market adoption.

The study provides insights on how to incorporate information about barriers to adoption into product/service design and on the development of organizational-level diffusion strategy to address changes of customer’s behavior required by certain innovative sustainable solutions. In addition, the authors speculate potential causes for more recent developments with the technology that can serve as a lesson for future projects.

Past studies have advanced the knowledge about issues surrounding the adoption and diffusion of EVs. The study expands this stream of research by focussing on product/service and organizational strategy design and by illustrating, through an empirical exploratory case study, how a company attempted to overcome these obstacles. The authors advance various propositions and point out potential exciting avenues for future research on the dissemination of environmentally friendly innovations.

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.

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.

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.

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.

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.

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.

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.

This paper aims to explore FinTech and its dynamic transitions in the banking industry. In particular, the study analyses the systemic innovation nature of FinTech-based innovations. The main contribution of this research study is the development of systemic innovation model which can be used as a dynamic tool to track the progress and pattern of technology development and diffusion. The research also discusses the latest financial innovation of PromptPay FinTech – the e-payment system in Thailand.

This research uses the case study approach to analyse the systemic innovation characteristics of FinTech-based innovations. This research offers a new systemic innovation model which is developed and can be used as a dynamic tool to track the progress and pattern of technology development and diffusion. The study uses FinTech-based innovations as case study samples to gain a better understanding concerning the systemic characteristics and the pattern of technology diffusion under the analytical framework of systemic innovation model. This research involves qualitative interviews with five major commercial banks in the financial services industry of Thailand.

The analyses of findings show the systemic characteristics of FinTech-based innovations in the banking industry, both at a global scale and Thailand case. The analyses have shown that systemic characteristics of the innovation process are the outcome of interactions between the complexity of the innovation and the capabilities of innovators in managing the innovation. The insightful implications on the systemic nature of innovation give the trend and direction of FinTech-based innovation development in the banking industry.

The main contribution which shows originality and value of this paper is the development of systemic innovation model. This research study develops a systemic innovation model to analyse the systemic characteristics which can be applied to all innovations in any industry. The model can also help track the progress and pattern of technology development and diffusion. Therefore, the model can be used to project the trend and diffusion of innovation competition in the banking industry.