Facts behind the myth of conservative rurality: major determinants of rural farmers’ innovation adoption decisions for sustainable agriculture

GeoJournal ◽  
2016 ◽  
Vol 82 (5) ◽  
pp. 1051-1066 ◽  
Author(s):  
Prince Osei-Wusu Adjei ◽  
Enoch Akwasi Kosoe ◽  
David Forkuor
Keyword(s):  
Sustainable Agriculture ◽  
Innovation Adoption ◽  
Rural Farmers ◽  
Adoption Decisions

scholarly journals Adoption Factors of Enabling I4.0 Technologies and Benefits in the Supply Chain

2021 ◽  
Author(s):  
José Carlos Franceli ◽  
Silvia Novaes Zilber Turri
Keyword(s):  
Supply Chain ◽  
Innovation Adoption ◽  
New Paradigm ◽  
Factors Affecting ◽  
Physical Systems ◽  
Adoption Factors ◽  
The Social ◽  
Information And Communication ◽  
Adoption Decisions ◽  
Selection Of

Industry 4.0 technologies represent a new paradigm of integration of cyber-physical systems, information and communication solutions, with applications in many different domains. This topic has to date been vaguely explored in the realm of the social sciences; hence this study attempts to bridge this gap by investigating the challenges of innovation adoption, based on I4.0 technologies, more specifically the factors affecting adoption decisions. This paper, based on previous adoption literature, aims to identify the barriers and benefits generated in the Supply Chain. Given the nature and novelty of the technology, whose adoption is the primary theme of this study, a systematic literature review was developed. The results present a framework that connects adoption factors, enabling technologies of I4.0, and benefits to the Supply Chain. The Model can be easily adapted to serve as a tool in the evaluation and selection of technological innovations to be adopted.

To Evaluate or Not to Evaluate?

2018 ◽  
Vol 29 (2) ◽  
pp. 42-61 ◽  
Author(s):  
Nan (Tina) Wang
Keyword(s):  
Decision Making ◽  
Process Model ◽  
Evaluation Process ◽  
Innovation Adoption ◽  
Relative Advantage ◽  
Adoption Decision ◽  
Processing Theory ◽  
Attention Process ◽  
Rejection Threshold ◽  
Adoption Decisions

Using information processing theory (IPT) as the theoretical lens and incorporating various literatures following the IPT lens (e.g., dual-threshold in signal detection), this article develops a two-process model of innovation adoption decision making, accounting for the possibility for potential adopters (at different levels) to make adoption decisions (adopt, do not adopt) with or without an intensive evaluation of the innovation. Specifically, this article proposes that there is an attention process prior to the extensively investigated intensive evaluation process; potential adopters may make adoption decisions (adopt, do not adopt) at the end of the attention process or defer making decisions until after an intensive evaluation is conducted. The impacts of innovation attributes on various influence targets (i.e., relative advantage belief strength, adoption threshold and rejection threshold) during the less examined attention process are also discussed. This article may contribute to the innovation adoption literature and provide practical implications for innovation proponents/detractors regarding how to craft sensegiving messages influencing potential adopters' decision making.

Time to decision: the drivers of innovation adoption decisions

2012 ◽  
Vol 8 (2) ◽  
pp. 279-308 ◽  
Author(s):  
Andrew Paul Ciganek ◽  
William (Dave) Haseman ◽  
K. Ramamurthy
Keyword(s):  
Innovation Adoption ◽  
Adoption Decisions

BIM and systemic ICT innovation in AEC

2014 ◽  
Vol 14 (3) ◽  
pp. 292-306 ◽  
Author(s):  
Vishal Singh
Keyword(s):  
Innovation Diffusion ◽  
Diffusion Of Innovation ◽  
Degrees Of Freedom ◽  
Innovation Adoption ◽  
Innovation Network ◽  
Content Type ◽  
Ecosystem Level ◽  
Adoption Decisions ◽  
Systemic Innovation

Purpose – This paper aims to present a behavioural perspective on systemic innovation adoption decisions and resulting patterns in architecture engineering and construction (AEC). Building on the premise that innovation is always coupled with need identification or need creation, the paper analyses the systemic innovation-related needs and decisions of AEC actors. Design/methodology/approach – This research uses grounded theory to collect data through interviews, focus groups and field observation in Australian AEC. Based on the findings, three types of systemic innovation-related needs are identified to describe the dependencies in innovation-related needs of various actors in the construction innovation network, namely, need for the innovation, need to innovate and the need for the diffusion of innovation. Findings – It is found that the systemic innovation-related needs of actors in AEC network are interrelated. However, the systemic innovation-related decisions and, hence, the diffusion patterns are mediated by the degrees of freedom of the actors. Accordingly, it is argued that higher degrees of freedom of followers or the majority actors in AEC (to leave the innovation network) partially explain the slower rate of systemic innovation diffusion in AEC. Findings have implications on how systemic innovations in construction should be analysed and managed at the ecosystem level through an improved understanding of the interdependent innovation-related needs of the stakeholders. Originality/value – Innovation-related needs’ perspective provides novel and fresh insights into systemic innovation diffusion patterns in AEC and emphasises the significance of an ecosystem viewpoint to assess the roles of the different actors in AEC innovation network. The role of the degrees of freedoms of AEC actors in mediating systemic innovation diffusion is established.

Trialability, observability and risk reduction accelerating individual innovation adoption decisions

2015 ◽  
Vol 29 (2) ◽  
pp. 271-294 ◽  
Author(s):  
Kathryn J Hayes ◽  
Kathy Eljiz ◽  
Ann Dadich ◽  
Janna-Anneke Fitzgerald ◽  
Terry Sloan
Keyword(s):  
Computer Simulation ◽  
Risk Reduction ◽  
Perceived Risk ◽  
Organizational Context ◽  
Patient Flow ◽  
Extreme Case ◽  
Innovation Adoption ◽  
Content Type ◽  
Imaging Department ◽  
Adoption Decisions

Purpose – The purpose of this paper is to provide a retrospective analysis of computer simulation’s role in accelerating individual innovation adoption decisions. The process innovation examined is Lean Systems Thinking, and the organizational context is the imaging department of an Australian public hospital. Design/methodology/approach – Intrinsic case study methods including observation, interviews with radiology and emergency personnel about scheduling procedures, mapping patient appointment processes and document analysis were used over three years and then complemented with retrospective interviews with key hospital staff. The multiple data sources and methods were combined in a pragmatic and reflexive manner to explore an extreme case that provides potential to act as an instructive template for effective change. Findings – Computer simulation of process change ideas offered by staff to improve patient-flow accelerated the adoption of the process changes, largely because animated computer simulation permitted experimentation (trialability), provided observable predictions of change results (observability) and minimized perceived risk. Research limitations/implications – The difficulty of making accurate comparisons between time periods in a health care setting is acknowledged. Practical implications – This work has implications for policy, practice and theory, particularly for inducing the rapid diffusion of process innovations to address challenges facing health service organizations and national health systems. Originality/value – The research demonstrates the value of animated computer simulation in presenting the need for change, identifying options, and predicting change outcomes and is the first work to indicate the importance of trialability, observability and risk reduction in individual adoption decisions in health services.

scholarly journals Exploring the Long Shadow of IT Innovation Adoption Decisions on IT Value

2014 ◽  
Vol 19 (4) ◽  
pp. 31 ◽  
Author(s):  
Yasser Rahrovani ◽  
Shamel Addas ◽  
Alain Pinsonneault
Keyword(s):  
Innovation Adoption ◽  
It Value ◽  
It Innovation ◽  
Adoption Decisions
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