Product Disadoption: Quitting Smoking as a Diffusion Process

1996 ◽  
Vol 15 (1) ◽  
pp. 87-97 ◽  
Author(s):  
William H. Redmond

Smoking cessation has been examined from several perspectives, including psychological, physiological, and pharmacological. The author takes a sociological approach by examining quitting smoking as an adoption/diffusion process. In particular, adoption of quitting is seen as the equivalent of disadoption of cigarettes. As such, quitting represents a diffusion process, a social phenomenon that is viewed in considerably clearer focus when quitting among adults is segregated from cigarette adoption among younger persons. Three 10-year age cohorts, now ages 45–54, 55–64, and 65–74, are examined over time to isolate quitting behavior from smoking initiation during the teenage years. The results show good conformance to both adoption and diffusion theories. These theories, in turn, offer insights into limitations of the quitting process, forecasts of long-term quitting, and evaluation of segments of smokers that are expected to exhibit varying degrees of resistance to quitting. The author discusses implications for the communication of cessation messages and segmentation of potential quitters.

2015 ◽  
Vol 26 (09) ◽  
pp. 1550102 ◽  
Author(s):  
Wen-Jun Li ◽  
Yuan-Yuan Xu ◽  
Qiang Dong ◽  
Jun-Lin Zhou ◽  
Yan Fu

Traditional recommender algorithms usually employ the early and recent records indiscriminately, which overlooks the change of user interests over time. In this paper, we show that the interests of a user remain stable in a short-term interval and drift during a long-term period. Based on this observation, we propose a time-aware diffusion-based (TaDb) recommender algorithm, which assigns different temporal weights to the leading links existing before the target user's collection and the following links appearing after that in the diffusion process. Experiments on four real datasets, Netflix, MovieLens, FriendFeed and Delicious show that TaDb algorithm significantly improves the prediction accuracy compared with the algorithms not considering temporal effects.


Author(s):  
Boumediene Ramdani ◽  
Oswaldo Lorenzo ◽  
Peter Kawalek

The attention of software vendors has moved recently to Small to Medium-sized Enterprises (SMEs) offering them a vast range of Information Systems’ (IS) innovations including enterprise systems (ES), which were formerly adopted by large firms only. Although the number of SMEs adopting new IS innovations has increased over time, strong empirical evidence is still lacking. This paper aims to fill this gap by reporting the findings of a survey on SMEs located in the Northwest of England. The survey results reveal that even more complex IS innovations are increasingly adopted by SMEs. Also, nearly half of the surveyed SMEs are willing to adopt ES in the next three years. These findings suggest that there is a considerable opportunity and a need for further research in the adoption and diffusion of new IS innovations among SMEs.


2012 ◽  
Vol 12 (2) ◽  
pp. 151-172 ◽  
Author(s):  
Garth L Lean

Physical travel has traditionally been viewed as an agent of transformation. The research conducted on this topic, however, is surprisingly narrow in scope. Few studies have attempted to look beyond a particular tourism/travel segment or discipline and most utilise a restricted range of methods and analysis. These investigations have also failed to consider the long-term impacts of corporeal travel and how changes continue to evolve over time. Drawing upon a holistic and interdisciplinary study of transformative travel, this article argues that in a mobile world, it becomes increasingly difficult for individuals to distance themselves from elements that maintain a particular way of thinking and acting. While a traveller may physically remove their body from a specific geographic location, contemporary and historic flows of people, ideas, information, objects, memories and symbols create mobile spaces, places, landscapes and identities, where both familiarity and difference abound. Transformation through physical travel becomes a complex social phenomenon.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Sheena Asthana ◽  
Ray Jones ◽  
Rod Sheaff

Abstract Background Having a tax-funded and supposedly ‘National’ Health Service (NHS), one might assume that the UK is well-positioned to roll out eHealth innovations at scale. Yet, despite a strong policy push, the English NHS has been limited in the extent to which it has exploited the potential of eHealth. Main body This paper considers a range of macro, meso and micro factors influencing eHealth innovation in the English NHS. Conclusions While barriers to eHealth innovation exist at all scales, the fragmentation of the NHS is the most significant factor limiting adoption and diffusion. Rather than addressing problems of fragmentation, national policy seems to have intensified the digital divide. As the recently published NHS Long Term Plan places great emphasis on the role of digital transformation in helping health and care professionals communicate better and enabling people to access the care they need quickly and easily, the implications for the digital divide are likely to be significant for effectiveness, efficiency and equity.


Author(s):  
Arthur Eger ◽  
Haydn Blackey

Getting innovations adopted is often difficult. Not because they lack obvious advantages, but because of the complex nature of the adoption and diffusion process. If everyone included in their strategy, the six elements of the ‘innovation diffusion mix’ identified in this study, adoption and diffusion would be much easier.Parvenir à adopter des changements est souvent difficile. Non pas que ceux-ci sont désavantageux, mais plutôt à cause de la nature complexe des procédures d’adoption et de diffusion. Si chacun pouvait inclure dans sa stratégie, les six éléments de « l’ensemble de diffusion de changements » identifiés dans cette étude, l’adoption et la diffusion seraient beaucoup plus facile à réaliser. 


Author(s):  
Rifat Atun

In Chapter 8, the authors discuss in detail factors that might influence the introduction and scale-up of the system improvement plan (SIP). Successfully maneuvering an SIP in a complicated health system is a challenge. It requires considering the multiple interlinked factors that individually and collectively influence the adoption and diffusion process. They discuss the potential enablers and barriers that may facilitate or hinder the adoption and diffusion of the SIP and the change it is designed to produce. They introduce a proprietary framework, the 7Cs model, to group these factors into categories. This framework is designed to enable students to clarify the many interconnected elements that will influence the implementation of their SIP and organize the interventions that are needed to effectively manage these factors. The 7Cs model encompasses seven factors that need to be considered in relation to the implementation strategic change and of the SIP: (i) challenge, (ii) content, (iii) context, (iv) coalitions, (v) communication, (vi) capacity, and (vii) cohesiveness.


2021 ◽  
Vol 12 (1) ◽  
pp. 75-89
Author(s):  
Ali Padyab ◽  
Abdolrasoul Habibipour

The rapid growth of the Internet of Things (IoT) has given rise to many wearable devices integrated into daily life. However, achieving end-users' long-term adoption is still an issue. While wearables' technological implementation is advancing rapidly, their consequences need to be scrutinized to alleviate the concerns that threaten a strong civil and sustainable society. The purpose of this article is to investigate issues (social, ethical, and ecological) and adoption barriers related to wearable technologies from end-users' perspectives. The authors undertook a systematic literature review combined with two rounds of interviews with domain experts as well as end-users of IoT wearable devices to find relevant issues and adoption barriers. This article summarizes social, ethical, and ecological issues as well as adoption barriers of wearable technologies. These issues and adoption barriers have important implications that need to be addressed to increase the adoption and diffusion of wearable technologies.


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