Exploring the interdependencies among mechanisms underlying innovation diffusion dynamics

Author(s):  
Gonenc Yucel ◽  
C. Els van Daalen
2014 ◽  
Vol 14 (3) ◽  
pp. 231-245 ◽  
Author(s):  
G. Avolio ◽  
E. Blasi ◽  
C. Cicatiello ◽  
S. Franco

Innovation is a key issue in the discussion about the links between agriculture, food production and sustainability. Indeed, the creation, adoption and exploitation of innovations can interact with all three dimensions of sustainability – environment, society and economy. Despite the increasing support for innovation practices in the agrifood sector from institutions and public policies, innovation in this sector has spread quite slowly. Indeed, the diffusion of innovations strongly depends on the social, institutional and productive system behind the technological/structural features of the farms. The analysis of the drivers underpinning the innovation diffusion dynamics in agriculture is therefore a very interesting topic for studies in this domain. This paper aims to provide a map of the diffusion of innovations in the Italian agricultural sector, highlighting differences and territorial specificities. We try to explain the drivers and factors influencing such specificities, drawing from data on the agricultural sector as well as information on the institutional and regulatory framework. Data on the diffusion of product, process, organizational and marketing innovations in agriculture have been gathered for the 110 Italian provinces, drawing from the 2010 Agricultural Census survey. Maps of the diffusion of the different types of innovations have then been constructed and analysed. Results show that the diffusion of the different innovation types is not uniform within the country. Some are typical to specific areas where productive or market opportunities occur. Others are not territorial-specific but are linked to the features of the single farms. The influence of the regulatory context also seems to play a significant role. By analysing the local expenditure in rural development intervention, we analyses how the synergies among the productive and institutional systems may act as a driver for innovation diffusion in agriculture.


2014 ◽  
Vol 39 (1) ◽  
pp. 39-53
Author(s):  
Michał Szymczyk ◽  
Bogumił Kamiński

Abstract The paper discusses the dynamics of innovation diffusion among heterogeneous consumers. We assume that customers’ decision making process is divided into two steps: testing the innovation and later potential adopting. Such a model setup is designed to imitate the mobile applications market. An innovation provider, to some extent, can control the innovation diffusion by two parameters: product quality and marketing activity. Using the multi-agent approach we identify factors influencing the saturation level and the speed of innovation adaptation in the artificial population. The results show that the expected level of innovation adoption among customer’s friends and relative product quality and marketing campaign intensity are crucial factors explaining them. It has to be stressed that the product quality is more important for innovation saturation level and marketing campaign has bigger influence on the speed of diffusion. The topology of social network between customers is found important, but within investigated parameter range it has lover impact on innovation diffusion dynamics than the above mentioned factors


2018 ◽  
Vol 56 (4) ◽  
pp. 867-890 ◽  
Author(s):  
Adele Parmentola ◽  
Michele Simoni ◽  
Ilaria Tutore

Purpose The purpose of this paper is to propose a comprehensive theoretical framework to explain the different diffusion dynamics of a technology realized under an open source (OS) regime vs a technology realized under a closed-proprietary (CP) regime. Design/methodology/approach Following a systematic combining approach, theoretical predictions derived from literature on diffusion of innovation and on open innovation were matched with empirical observations derived from a case study of two mobile operation systems, which were released under different technological regimes. Findings This paper proposes a theoretical framework and a set of original theoretical propositions that can help to explain the differences in the diffusion dynamics of technologies that are released under different regimes (i.e. CP vs OS). Research limitations/implications This paper provides managers a better understanding of the diffusion dynamics of technologies released according to an open innovation strategy. In addition, the empirical case study improves the understanding of an important industry (the MOS industry) that has not been fully investigated from the innovation diffusion perspective. Nevertheless, the efficacy and generalizability of the theoretical framework proposed in this paper require future empirical tests. Originality/value This paper makes an original contribution to the open innovation and innovation diffusion literature by linking, in a conceptual model, three antecedents of the diffusion of a new technology that previous literature has considered only separately: the regime under which the technology is released (OS vs CP), the contingencies related to the characteristics of the technology and to the network of its adopters, and the resulting barriers to adoption.


2013 ◽  
Vol 1 (1) ◽  
pp. 38-54 ◽  
Author(s):  
Stefano Pace

Today innovation can be so radical and futuristic that common models of innovation diffusion might not be enough. The success of an innovation relies on the functional features of the new product, but also on how consumers shape the meaning of that innovation. Consumer Culture Theory (CCT) can help managers by focusing on the cultural determinants of consumer behaviour. The work provides a preliminary analysis of how consumers elaborate the cultural platform that will determine the degree of success of the upcoming innovation Google Glass.


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