Factors affecting late adoption of digital innovations

Jahanmir, Sara F.; Cavadas, Joana

doi:10.1016/j.jbusres.2018.01.058

Cited by 116 publications

(89 citation statements)

References 59 publications

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“…In the first variant of the NEAT F-PROMETHEE method, the defuzzification of fuzzy values φ + and φ − is necessary, according to Formulas (29) and 30:…”

Section: Neat F-promethee Methodsmentioning

confidence: 99%

“…Jahanmir and Cavadas [29] point out that despite the systematic research on the dissemination and introduction of digital innovations, little attention has been devoted to this subject in the literature. Among the determinants of delays in implementing digital innovations, the authors mentioned the following variables: approach to technology, negative opinions about technology, the image of the global brand, consumer innovation and profiles of the main user.…”

Section: Literature Reviewmentioning

confidence: 99%

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Analysis of the Digital Divide Using Fuzzy Forecasting

Ziemba

Becker

2019

Symmetry

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In the countries of the former Eastern Bloc (Central and Eastern Europe) belonging to the European Union, a gradual elimination of the technological gap, greater expenditures, competitiveness and productivity can be noticed. In this context, analysis and forecast of the level of accessibility and use of ICT (information and communication technologies) by households in these countries has become interesting. It allows for the selection of digitally excluded regions, or those threatened with this phenomenon in the coming years (2018–2020). To carry out the analysis, a framework based on fuzzy numbers and the NEAT F-PROMETHEE (New Easy Approach To Fuzzy-PROMETHEE) method was developed. The potential of the fuzzy outranking approach taking into account the uncertainty of input data (criteria and preferences) has been demonstrated as an alternative to the IDI (ICT Development Index) methodology widely used in research on regional ICT development based on composite indices. Research has shown that Estonia is the leader in the area of ICT expansion among households, and in the next three years will definitely maintain its dominant position. Slovenia follows shortly after, followed by Latvia. At the end of the ranking were the countries with the largest percentage in Central and Eastern Europe of population excluded digitally or threatened with this phenomenon; these are: Poland, Slovakia, Bulgaria and, in last place, Romania. Within this framework, the robustness of the obtained rankings to change in the degree of uncertainty of preferences was also examined. It turned out that eliminating the uncertainty of preferences resulted in an increase in the uncertainty of the aggregate, fuzzy grades obtained at the output.

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“…In the first variant of the NEAT F-PROMETHEE method, the defuzzification of fuzzy values φ + and φ − is necessary, according to Formulas (29) and 30:…”

Section: Neat F-promethee Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Analysis of the Digital Divide Using Fuzzy Forecasting

Ziemba

Becker

2019

Symmetry

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“…Furthermore, since an organizational innovation is commonly referred to as "organizational change that embodies a new idea that is not consistent with the current concept of the organization's business" (Mezias and Glynn 1993p. 78), mandated use of innovations in times of rapid technology changes represents the rule rather than the exception (Jahanmir and Cavadas 2018). Hence, companies need to understand how forced adoption triggers innovation resistance and opposition behavior to effectively set up their internal marketing to reduce the probability of failure within implementation processes (Ram and Jung 1991;Varey 1995).…”

Section: Introductionmentioning

confidence: 99%

Consequences of mandated usage of innovations in organizations: developing an innovation decision model of symbolic and forced adoption

Heidenreich

Talke

2020

AMS Rev

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In organizations, mandated adoption contexts are the rule rather than the exception. Individuals, who are denied the choice between adopting and rejecting an innovation, are more likely to engage in opposition behavior, particularly if the innovation conflicts with their held beliefs. Interestingly, neither the construct of forced adoption nor its consequences have received much research attention. To address this gap, we conduct a systematic literature review and provide theoretical rationales for the emergence of innovation resistance and opposition behaviors in organizations. We then develop an innovation decision model of individual adoption behavior that localizes negative outcomes of the secondary adoption process along the different process stages, providing insights into their emergence and potential consequences for the organization. Furthermore, we identify important avenues for future research and show how our innovation decision model can be used to advance theory development on forced adoption.

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“…The fundamentals for ensuring a successful adoption process of innovations is dependent on how organisations can identify the needs in adopting such technological innovations (Kim 2015;Swanson and Wang 2005;Yoo et al 2012;Jahanmira and Cavadas 2018). As a result, top management needs to create the right environment to help in bringing about a tolerable conversion of the existing work practices and organisation operations (Ghobakhloo and Tang 2013;Thong, and Yap, C And Raman, K. 1997).…”

Section: Organisations Innovation With Technology Adoptionmentioning

confidence: 99%

“…In this respect, organisational innovation dynamics, which are related to how organisations can be susceptible and open towards innovation, can have an impact on adopting new innovation-driven technologies, and this requires an in-depth assessment to uncover what exactly is affecting organisations from adopting cloud computing as a mainstream innovative technology. While there have been several studies that have explored technology adoption in SMEs (Grandon and Pearson 2004;Ray and Ray 2006;Bruque and Moyano 2007;Marasini et al 2008;Wu and Lederer 2009;Lopez-Nicolas and Soto-Acosta 2010;Weiyin et al 2011;Mehrtens et al 2001), little was offered on examining how innovation dynamics can influence the adoption of innovative technologies (Jahanmira and Cavadas 2018;Senyo et al 2018;Wang et al 2016;Salavou et al 2004). In this respect, SMEs often face the challenge of managing existing resources including infrastructure and skills and associated expertise in order to maintain the required adoption levels for the ICT enabled innovations.…”

Section: Introductionmentioning

confidence: 99%

Digital Innovation Dynamics Influence on Organisational Adoption: The Case of Cloud Computing Services

El‐Haddadeh

2019

Inf Syst Front

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Digital innovative technologies have enabled organisations to create opportunities to support their competitive advantage. In this regard, realising the dynamics influencing the adoption of these technologies becomes critical to their success. While much attention has been focused on the technological development, implementation and employees' adoption, little has been done to examine the specifics of digital innovation influencing technology uptake in organisations. Drawing from Technology Organisation and Environment framework, this paper examines the factors affecting innovation dynamics adoption in the context of cloud computing for SMEs. The findings obtained from IT and senior managers highlight that while innovative IT capabilities, organisational innovativeness, perceived innovation risk, perceived innovation barriers influence the likelihood for SMEs adopting cloud computing as an innovative solution, IT innovation-driven competitiveness has limited influence. As such, this demonstrates how understating the specifics of innovation dynamics can help in offering the required support for SMEs in sustaining success.

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Factors affecting late adoption of digital innovations

Cited by 116 publications

References 59 publications

Analysis of the Digital Divide Using Fuzzy Forecasting

Analysis of the Digital Divide Using Fuzzy Forecasting

Consequences of mandated usage of innovations in organizations: developing an innovation decision model of symbolic and forced adoption

Digital Innovation Dynamics Influence on Organisational Adoption: The Case of Cloud Computing Services

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