Rapidly co-evolving technology adoption and diffusion models

Chiyangwa, Tawanda Blessing; Alexander, Patricia M

doi:10.1016/j.tele.2015.05.004

Cited by 25 publications

(22 citation statements)

References 48 publications

(111 reference statements)

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“…An innovation that is inconsistent with the specified conditions, guidelines or practices won't be adopted or received as fast as an innovation that is compatible Customization (CU) Pine andGilmore (1999a, 1999b, p. 76) characterise customization as "…producing in light of a specific desire of analysing user." The researchers like Duray (2000a); Pine andGilmore (1999a, 1999b); Anuar et al (2014); Chiyangwa and Alexander (2016) said that it is significant to make the refinement in the varieties and customization. While customization takes a stab at satisfying individual user's needs, ranges include more choices from which the user can pick.…”

Section: Innovativenessmentioning

confidence: 99%

“…Trialability (TB) According to Vasseur and Kemp (2015); El-Gohary (2012); Seyal and Rahman (2003); Stockdale and Standing (2006); Moore and Benbasat (1991); Chiyangwa and Alexander (2016); Sabi et al (2016); Pham and Ho (2015); Hameed et al (2012a) said that "Trial-ability is the degree to which an innovation can be tried in a restricted premises." Innovations that can be attempted on the instalment arrangement are embraced quickly than innovations that are not tried.…”

Section: Innovativenessmentioning

confidence: 99%

“…Surprisingly, only a few researchers like Chiyangwa and Alexander (2016) and Hameed et al (2012a) have additionally demonstrated the significance of product development lead-time or cycle as it identifies with product or project achievement.…”

Section: Time (Tm)mentioning

confidence: 99%

See 2 more Smart Citations

Understanding major dimensions and determinants that help in diffusion & adoption of product innovation: using AHP approach

Mannan

Haleem

2017

J Glob Entrepr Res

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Section: Innovativenessmentioning

confidence: 99%

Section: Innovativenessmentioning

confidence: 99%

See 1 more Smart Citation

Understanding major dimensions and determinants that help in diffusion & adoption of product innovation: using AHP approach

Mannan

Haleem

2017

J Glob Entrepr Res

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“…Trends in mobile technology development are tied to innovations (Chiyangwa & (Trish) Alexander, 2016). Meanwhile, innovation often leads to consumer frightening, which in turn leads to distrust.…”

Section: Theoretical Background Of Trust In Mobile Bankingmentioning

confidence: 99%

Factors Influencing Customer Trust in Mobile Banking: Case of Latvia

Skvarciany

Jurevičienė

2017

Economics and Culture

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Abstract. The banking sector has developed and extended the use of its services in the past decade. In fact, nowadays mobile banking (M-banking) is the most developing service offered by a bank. In order to encourage customers to use m-banking services, it is extremely important to get clients to trust the M-banking services provided by the bank. This article discusses private clients' trust in mobile banking in Latvia. Hence, the goal of the research is to identify the key factors driving individual customer's confidence in mobile banking. In order to determine the weight of each factor, expert evaluation method based on analytic hierarchy process (AHP) was used. The results showed that the most vital factor affecting private clients' trust in mobile banking is customer characteristics, especially customers' computer literacy. However, after summarizing all the subfactors, it became clear that the most powerful in the trustbuilding process is convenience/practicality of using a mobile application. However, there is a limitation -the survey was conducted by interviewing experts, which means that the results may differ from the responses of the clients themselves.

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“…In essence, the competition offers a venue for increasing awareness, demonstrating relevance, building confidence, and proving satisfaction for faculty audiences. Furthermore, the influence of peers can play an important role in promoting change in the attitudes of faculty audiences 19,20,21,22 . The competition acting as a medium for triggering a contagion effect, or social spillover effect, can lead faculty audiences to imitate the adoption behaviors of their peer group of participants.…”

Section: Teaching Innovation With Technology Competitionmentioning

confidence: 99%

Advancing Engineering Education through Technology-Driven Teaching Innovations

Ismail

Parsaei

Guo

et al.

2016 ASEE Annual Conference &Amp; Exposition Proceedings

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Ms. Dufresne is an educator with 20 years experience in both secondary and tertiary educational institutions in North America and abroad, teaching students from all over the world. A proponent of using technology in the classroom, she currently flips her classes using videos and interactive learning activities to improve student understanding, as well as to level the playing field for her freshmen mathematicsfor-engineers classes at an overseas branch campus of Texas A&M University. Notably, her secondary students at the American School of Doha in Qatar had an impressive record on the AP Calculus AB/BC and AP Physics Mechanics C exams. Ms. Dufresne holds a Master's and PhD (ABD) Advancing Engineering Education through Technology Driven Teaching Innovations AbstractWith the proliferation of technologies that are able to overcome the obstacles of time and space, it is inevitable that change would transform and reshape the traditional ways of doing things. In higher education, the impact of educational technologies and their potential to enhance the teaching and learning experiences as well as improve learning outcomes is yet to be felt in any tangible way. This is mainly attributed to the lack of motivation by faculty to utilize new technologies in their classrooms. To further motivate faculty to introduce and integrate digital technologies into the classroom as teaching aids, a comprehensive plan was developed at Texas A&M University at Qatar (TAMUQ) to promote and encourage the use of technology in innovative ways.The groundwork for triggering successful technology adoption cycles requires developing targeted strategies that promote the use of technology. Transitioning from the state of nonacceptance to the state of adoption involves going through several intermediary stages that inform, train, and reward faculty members. Although strategies employed at TAMUQ address each of the three stages, they go beyond the goal of adoption to stimulate innovation. In order to promote the innovative use of technology, an annual Teaching Innovation with Technology competition was introduced with the goal of encouraging faculty to experiment with new technologies and assess their impact on their classrooms. The competition has been running for two years and has resulted in several innovative ideas.This paper summarizes the results from the three finalist projects coming out of the second year competition. The results demonstrate that technology can reshape teaching and learning in engineering education in productive ways. On one hand, students involved in classes that employed technology to complement the educational process have become more interested and engaged in their classrooms. On the other hand, faculty exposed to motivational strategies have become more receptive to the idea of employing and experimenting with new technologies in innovative ways.

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Rapidly co-evolving technology adoption and diffusion models

Cited by 25 publications

References 48 publications

Understanding major dimensions and determinants that help in diffusion & adoption of product innovation: using AHP approach

Understanding major dimensions and determinants that help in diffusion & adoption of product innovation: using AHP approach

Factors Influencing Customer Trust in Mobile Banking: Case of Latvia

Advancing Engineering Education through Technology-Driven Teaching Innovations

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