BASS Model Analysis in “Crossing the Chasm” in E-Cars Innovation Diffusion Scenarios

Brdulak, Anna; Chaberek-Karwacka, Grażyna; Jagodziński, Jacek

doi:10.3390/en14113216

Cited by 17 publications

(15 citation statements)

References 12 publications

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“…Still on theoretical footprint, [20] applied the innovation diffusion theory in the global market for EVs. Of the five stages of innovation diffusion (awareness, interest, preference, usage, and continuation), [20] likened EVs to still being in the awareness stage in many developing countries while they are already in the preference stage in most advanced countries. This suggests that developing countries are laggards while developed societies are early adopters.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

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An Analysis of User Preferences of Value Attributes of Electric Vehicles in Underserved Communities

Olaleye¹,

Oluwoye²,

Rukmana³

et al. 2022

ujeee

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One of the creative innovations of the twenty-first century is the electric vehicle (EV). Unlike mainstream internal combustion cars, EVs do not rely on fossil fuel products (especially gasoline) to function. EVs are thus environmentally viable, bolstering the sustainability efforts of governments and institutions. However, the diffusion rate of EVs has been slow, notably in the United States. This study is therefore aimed at examining the role of value attributes of EVs in determining their embrace among residents of two underserved communities in the U.S. In the context of a survey design, a questionnaire was administered to obtain perceptions of the respondents, and data were analyzed using frequency counts, rank index, descriptive statistics as well as t-test technique. Findings reveal that safety, comfort, purchase price, and charging stations are areas of concern on the priority value attributes that the respondents expect a given EV to possess. We, therefore, conclude that car manufacturers, transportation planners, and metropolitan authorities should consider these attributes in their quest to make EVs popular among the general population.

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Section: Theoretical Frameworkmentioning

confidence: 99%

“…Male respondents were more in Edmonton Heights (14) than in Meadow Hills (8). Similarly, female respondents were more in EH (27) than in MH (20). Only one respondent did not out-fill the questionnaire in each neighborhood.…”

Section: Gender Of Respondentsmentioning

confidence: 99%

An Analysis of User Preferences of Value Attributes of Electric Vehicles in Underserved Communities

Olaleye¹,

Oluwoye²,

Rukmana³

et al. 2022

ujeee

View full text Add to dashboard Cite

show abstract

“…We will use the concept of early adopters versus late adopters in this study, placing them into just two categories. The Rogers innovation curve classification is used very widely (Brdulak et al , 2021; Ho, 2021; Rogers and Rahim, 2021). Industry 4.0 was initially introduced in Hannover Fair in 2011, and subsequently Governments around the world have taken strategic decisions for implementation of the same in different countries (Xu et al , 2018), hence in this study the early adopters are defined as those organizations which have implemented Industry 4.0 before 2017 and other organizations which have implemented after that as late adopters.…”

Section: Literature Reviewmentioning

confidence: 99%

How does performance vary between early and late adopters of Industry 4.0? A qualitative viewpoint

Antony

Sony

McDermott

et al. 2021

IJQRM

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PurposeIndustry 4.0 is a new trend among organizations. Some organizations have been early adopters or later adopters of Industry 4.0. The purpose of this paper is to investigate how performance effects vary between early and late adopters of Industry 4.0.Design/methodology/approachThis study applies a qualitative research methodology using grounded theory. 14 senior management professionals who have implemented Industry 4.0 participated in this study through a theoretical and snowball sampling approach. These professionals were from manufacturing and service sectors, from North America, Europe and Asia. The study used semi structured open-ended interviews to capture the organizational performance on operational, financial, environmental and social dimensions.FindingsThe findings were analyzed in terms of four broad themes which emerged from the interviews. In operational performance the operational and implementation cost will be higher for early adopters. The late adopters may enjoy the advantage in terms of improved business models. In terms of financial performance, the early adopters may see a marginal increase in profit and increased stock price compared to late adopters. The performance on the environmental dimension will see early adopters enjoying material efficiency, energy savings and an improved image of the company compared to late adopters. In social performance, the early adopters will provide a better quality of work life, safer manufacturing environment. However, the resistance from labor unions will be higher for early adopters compared to late adopters.Practical implicationsOrganizations must decide the timing of implementation of Industry 4.0. This study will act as a guide wherein they can decide to be an early adopter or late adopter based on knowledge of the resulting performance consequences.Originality/valueThis is the first paper that studies the performance effects of early versus late adopters of Industry 4.0.

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“…where α ⩾ 0 and Y > 0 are constants [9,10,23]. Our study also corresponds to quantitative measurements of the diffusion of new products and ideas using linguistic data.…”

Section: Introductionmentioning

confidence: 99%

Minor extensions of the logistic equation for growth curves of word counts on online media: parametric observation of diversity of growth in society

Watanabe

2023

J. Phys. Complex.

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To understand the growth phenomena in collective human systems, we analyzed monthly word count time series of new vocabularies extracted from approximately 1 billion Japanese blog articles from 2007 to 2019. In particular, we first introduced the extended logistic equation by adding one parameter to the original equation and showed that the model can consistently reproduce various patterns of actual growth curves, such as the logistic function, linear growth, and finite-time divergence. Second, by analyzing the model parameters, we found that the typical growth pattern is not only a logistic function, which often appears in various complex systems, but also a non-trivial growth curve that starts with an exponential function and asymptotically approaches a power function without a steady state. We also observed a connection between the functional form of growth and the peak-out behavior. Finally, we showed that the proposed model and statistical properties are also valid for Google Trends data (English, French, Spanish, and Japanese), which is a time series of the nationwide popularity of search queries.

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BASS Model Analysis in “Crossing the Chasm” in E-Cars Innovation Diffusion Scenarios

Cited by 17 publications

References 12 publications

An Analysis of User Preferences of Value Attributes of Electric Vehicles in Underserved Communities

An Analysis of User Preferences of Value Attributes of Electric Vehicles in Underserved Communities

How does performance vary between early and late adopters of Industry 4.0? A qualitative viewpoint

Minor extensions of the logistic equation for growth curves of word counts on online media: parametric observation of diversity of growth in society

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