Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research

Frambach, R.T.; Schillewaert, Niels

doi:10.1016/s0148-2963(00)00152-1

Cited by 935 publications

(888 citation statements)

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“…The term, adoption is about the decision of any individual or organization to make use of innovation [48][49][50][51][52][53][54]. In the organizational context, adoption is associated to admit a innovation for implementation [55].…”

Section: Adoption Of Hismentioning

confidence: 99%

An evaluation model for the implementation of hospital information system in public hospitals using multi-criteria-decision-making (MCDM) approaches

Esfahani

Ahmadi

Nilashi

et al. 2017

IJET

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Background: Hospital Information System (HIS) is implemented to provide high-quality patient care. The aim of this study is to identify significant dimensional factors that influence the hospital decision in adopting the HIS. Methods: This study designs the initial integrated model by taking the three main dimensions in adopting HIS technology. Accordingly, DEMATEL was utilized to test the strength of interdependencies among the dimensions and variables. Then ANP approach is adapted to determining how the factors are weighted and prioritized by professionals and main users working in the Iranian public hospitals, involved with the HIS system. Results: The results indicated that "Perceived Technical Competence" is a key factor in the Human dimension. The respondents also believed that "Relative Advantage," "Compatibility" and "Security Concern" of Technology dimension should be further assessed in relation to other factors. With respect to Organization dimension, "Top Management Support" and "Vendor Support" are considered more important than others. Conclusion: Applying the TOE and HOT-fit models as the pillar of our developed model with significant findings add to the growing literature on the factors associated with the adoption of HIS and also shed some light for managers of public hospitals in Iran to successfully adopt the HIS.

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Section: Adoption Of Hismentioning

confidence: 99%

An evaluation model for the implementation of hospital information system in public hospitals using multi-criteria-decision-making (MCDM) approaches

Esfahani

Ahmadi

Nilashi

et al. 2017

IJET

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“…Together, these four dimensions enable organisations to systematically identify, capture, interpret, share, re-frame, and re-codify new knowledge, to link it with their own existing knowledge base, and to put it to appropriate use, resulting in an improved ability to assimilate innovations [18], [29], [33]. Thus, an organisation"s absorptive capacity is positively associated with adoption [18], [33], [34]. Accordingly, the following hypothesis is proposed:…”

Section: Absorptive Capacitymentioning

confidence: 99%

eHealth adoption factors in medical hospitals: A focus on the Netherlands

Faber

Geenhuizen

Reuver

2017

International Journal of Medical Informatics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may AbstractA better understanding of factors influencing eHealth adoption is required given the strong policy attention to eHealth but a low level of actual adoption in many European countries. A model for organisational eHealth adoption is proposed in the study, derived from several adoption frameworks. The empirical part is based on a survey among hospitals in the Netherlands and includes a Structural Equation Modelling (SEM) approach. Specific attention is paid to measurement of organisational readiness and to adoption as a process including different stages. Our results suggest a sharp decrease in the adoption process after the stage of interest/commitment and significant influence of size of the hospital, organisational readiness including technical aspects, and support by top management of the hospital. The paper concludes with some organisational strategies and policies to foster eHealth adoption and suggestions for future study.

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“…The UTAUT was initially introduced by Venkatesh et al (2003) to consolidate prior TAMrelated studies (Marchewka et al, 2007) and they integrated constructs of eight prominent models which are Theory of Reasoned Action (TRA) (Fishbein and Ajzen, 1975), Technology Acceptance Model (TAM) (Davis, 1989), Motivational Model (MM) , Theory of Planned Behavior (TPB) (Ajzen, 1991), Combined TAM-TPB (C-TAM-TPB) (Taylor and Todd, 1995), Model of PC Utilization (MPCU) (Varela et al, 1991), Innovation Diffusion Theory (IDT) (Rogers, 2003) and Social Cognitive Theory (SCT) (Compeau and Higgins, 1995).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…Informal individual networks have a crucial impact on the transfer of knowledge process within organizations (Reagans and McEvily, 2003). Moreover, those informal social networks connect most members within the same organization or organizations in different industries (Frambach and Schillewaert, 2002). In virtual networking, individuals are able to learn about various innovations and practices that are useful to them (Messinger et al, 2009).…”

Section: Virtual Social Networkmentioning

confidence: 99%

“…The importance and benefits of adoption of technological innovations within organizations reflects on the behavior of peers who enthusiasticly involved in the process of adoption of technological innovations. That is why most employees within organizations are interested to observe their counterpart's activities and then to try to replicate what is done by their colleagues (Frambach and Schillewaert, 2002).…”

Section: Peersmentioning

confidence: 99%

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IMPACT OF SOCIAL INFLUENCE ON INDIVIDUALSâ ADOPTION OF SOCIAL NETWORKS IN SMES

Talukder

Quazi

Djatikusumo

2013

Journal of Computer Science

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While prior studies focused on the determinants of adoption of technological innovation in large scale businesses, there is a lack of empirical research on this issue of acceptance of social networks in SMEs in emerging economies. This study addresses this lacuna by focusing on the social factors driving Indonesian SMEs' adoption of technological innovation. A theoretical model based on the extant literature and established theories in the relevant field is empirically tested in this study. Data were collected through a structured questionnaire and analyzed using correlation matrices and multiple regressions. The most striking finding of this study is that social factors which has been rarely explored in prior research in SMEs' context is instrumental in broadening our understanding SMEs' practice of technological innovation in an emerging economy. This finding has implications for SMEs and the government in designing an appropriate strategy for the implementation of technological innovation that are highlighted in the study.

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Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research

Cited by 935 publications

References 69 publications

An evaluation model for the implementation of hospital information system in public hospitals using multi-criteria-decision-making (MCDM) approaches

An evaluation model for the implementation of hospital information system in public hospitals using multi-criteria-decision-making (MCDM) approaches

eHealth adoption factors in medical hospitals: A focus on the Netherlands

IMPACT OF SOCIAL INFLUENCE ON INDIVIDUALSâ ADOPTION OF SOCIAL NETWORKS IN SMES

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Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research

Cited by 935 publications

References 69 publications

An evaluation model for the implementation of hospital information system in public hospitals using multi-criteria-decision-making (MCDM) approaches

An evaluation model for the implementation of hospital information system in public hospitals using multi-criteria-decision-making (MCDM) approaches

eHealth adoption factors in medical hospitals: A focus on the Netherlands

IMPACT OF SOCIAL INFLUENCE ON INDIVIDUALSâ ADOPTION OF SOCIAL NETWORKS IN SMES

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IMPACT OF SOCIAL INFLUENCE ON INDIVIDUALSâ ADOPTION OF SOCIAL NETWORKS IN SMES