Exploring the determinants of mobile-based services diffusion: past determinants, emergent pattern and a proposed framework

Roy, Abhishek; Dutta, Gautam; Das, Purushottam

doi:10.1504/ijbir.2019.098759

Cited by 2 publications

(1 citation statement)

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“…It also propagates the diffusion of innovations that consumers are not already familiar with, due to the lack of elementary diffusion mechanism (Manrai, 1995;Long et al, 2016). As a result, there were a number of attempts proposing models and frameworks trying to define the key to consumer acceptance of technological innovations related to products and services (Reyes-Mercado and Rajagopal, 2015; Roy et al, 2019). Lastly, the agent-based model defines the distribution of individual-level consumer characteristics and/or limited analysis of aggregate variables (Wolf et al, 2015;Rai and Henry, 2016).…”

Section: Available Models On Innovation Diffusionmentioning

confidence: 99%

The application of Agent-based Modelling for the diffusion of innovation research: A Case Study

Hinai¹,

Shamsuzzoha²,

Piya³

et al. 2021

IJBIR

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Emad Summad has a PhD in Industrial Engineering. He is specializing on policy issues for entrepreneurship and innovation in the knowledge-based economy. Dr. Summad currently teaches Innovation and Entrepreneurship at College of Engineering, Sultan Qaboos University. His research interest is on new perspectives on adoption and diffusion of innovations; using agent-based modelling to understand what happens when innovations are adopted by individual consumers and diffused in aggregate markets. What makes one innovation a screaming success while another just fade away! His work also includes governing innovation using social network structure and dynamics analysis. He promotes for technology-based lean startups. Dr.

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Section: Available Models On Innovation Diffusionmentioning

confidence: 99%

The application of Agent-based Modelling for the diffusion of innovation research: A Case Study

Hinai¹,

Shamsuzzoha²,

Piya³

et al. 2021

IJBIR

View full text Add to dashboard Cite

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A Comparative Analysis of the Diffusion of Mobile Technologies in the Visegrad Four Using an ECM Model

Salamaga

2024

KREM

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Objective: The aim of the paper is to assess the size and rate of diffusion of mobile technologies in the processing industry, and to determine the nature and strength of the impact of investment specialisation (investment attractiveness) and industry export specialisation on this phenomenon in the four Visegrad Group countries. Research Design & Methods: The occurrence of innovation diffusion and its dynamics were examined using an econometric model of the Gompertz function. To study the impact of specialisation according to foreign direct investments (FDI) located in V4 countries and their export specialisation on the process of innovation diffusion, an error correction model (ECM) estimated for selected industrial processing sectors was used. It was based on data for 2010–2021 from Eurostat, UNCTAD and the national statistical offices of individual V4 countries. Findings: The phase of rapid increase in innovation diffusion calculated on the basis of the Gompertz function was significantly longer in high- and medium-high technology enterprises than in low- and medium-low technology enterprises. In the short term, the determinants of mobile technology diffusion in all V4 countries in industries with low and medium-low technology are both export specialisation and investment attractiveness. Implications / Recommendations: The results lead to the conclusion that the diffusion of mobile technologies takes place in various industries in the V4, but its pace varies depending on the individual industry’s technological development. The results indicate the need to develop industries with high technologies and sectors with high intensity of knowledge. Contribution: A comparative analysis of the pace of diffusion of mobile technology innovations in the V4 was performed for the first time in this article. The combination of the Gompertz model with the ECM model can also be considered a pioneering solution in the analysis of innovation diffusion.

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Exploring the determinants of mobile-based services diffusion: past determinants, emergent pattern and a proposed framework

Cited by 2 publications

References 0 publications

The application of Agent-based Modelling for the diffusion of innovation research: A Case Study

The application of Agent-based Modelling for the diffusion of innovation research: A Case Study

A Comparative Analysis of the Diffusion of Mobile Technologies in the Visegrad Four Using an ECM Model

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