A review of innovation research in economics, sociology and technology management

Gopalakrishnan, Shanthi; Damanpour, Fariborz

doi:10.1016/s0305-0483(96)00043-6

Cited by 587 publications

(464 citation statements)

References 60 publications

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“…This finding is also consistent with the study of Ahmadi et al [5]whom asserted that HIS brings convenience to healthcare organizations regarding the cost reduction, patient care processes which can expedite the decision-making process, time saving and improve patient care. The meta-analysis study of Jeyaraj et al [74] found that relative advantage of innovation is one of the best predictors of innovation adoption in the organizational context. As a result, this study stresses that hospitals require to realize the relative advantage of applying HIS applications or in other words, some expected benefits of using the HIS.…”

Section: Discussionmentioning

confidence: 99%

“…Although such models are very useful and important, their main focus is on users (individual-level) as well as technological attributes, while they fail to consider the attributes related to organization [69]. In particular, the first three theoretical models can only be used at individual-level [69], whereas DOI theory can be used at an individual level as well as at the organizational level [74], [75]. At the organizational level, the most frequently used adoption theoretical models, Diffusion of Innovation (DOI) theory [81] as well as a Technology-OrganizationEnvironment (TOE) framework [76] are most widely used [72].…”

Section: Adoption Theories In Is Domainmentioning

confidence: 99%

“…At the organizational level, the most frequently used adoption theoretical models, Diffusion of Innovation (DOI) theory [81] as well as a Technology-OrganizationEnvironment (TOE) framework [76] are most widely used [72]. DOI theory has been frequently employed to investigate drivers of innovation adoption, since it can be used at an individual level as well as at the organizational level [60], [74]. More attention has been given to TOE framework and it is accepted from diverse fields of study as it creates Rogers' DOI theory more capable of explaining organizational innovation adoption by including an important novel component of environmental dimension [72], [77].…”

Section: Adoption Theories In Is Domainmentioning

confidence: 99%

“…Literature on HIS shows that the studies neglect this important concept in explaining the role of human context in behavior of hospital setting towards HIS adoption, with respect to perceived technical competence and employees IS knowledge [5], [74]. Hence, taken from HOT-fit model, this study embarks on the analysis of human components in understanding the decision to adopt HIS in the hospital industry.…”

Section: Human Dimensionmentioning

confidence: 99%

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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: Discussionmentioning

confidence: 99%

Section: Adoption Theories In Is Domainmentioning

confidence: 99%

Section: Adoption Theories In Is Domainmentioning

confidence: 99%

Section: Human Dimensionmentioning

confidence: 99%

See 2 more Smart Citations

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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“…Three of the most popular typologies are based on the distinctions between administrative and technical innovations, product and process innovations, and radical and incremental innovations (Damanpour, 1991;Gopalakrishnan and Damanpour, 1997).…”

Section: Organizational Innovationmentioning

confidence: 99%

Analyzing innovation adoption using a knowledge-based approach

Gopalakrishnan

Bierly

2001

Journal of Engineering and Technology Management

133

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We propose a new typology of organizational innovation based on the integration of theories of organizational learning and theories of knowledge. The three dimensions that we use to construct our typology of innovations are: tacit-explicit, systemic-autonomous and simple-complex. We, then, analyze the impact of these different types of innovations on the method of sourcing, cost of implementation, and innovation effectiveness. We propose that as innovations become more tacit, systemic and complex, they tend to be more internally sourced, more costly to implement, and more effective.We test the hypotheses using innovations from the commercial banking industry. Data for this study were collected from multiple sources. The innovations were categorized into different types by a panel of experts. Data on method of sourcing, cost and effectiveness were collected from a sample of 101 banks. Our results showed that autonomous innovations were less likely to be internally sourced than systemic innovations; autonomous and complex innovations were more costly to implement than systemic and simple innovations. Explicit innovations were seen as more effective than implicit innovations. Implications for theory and practice are discussed.

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Measuring relatedness between communities in a citation network

Shibata

Kajikawa

Sakata

2011

J. Am. Soc. Inf. Sci.

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As academic disciplines are segmented and specialized, it becomes more difficult to capture relevant research areas precisely by common retrieval strategies using either keywords or journal categories. This paper proposes a method of measuring the relatedness among sets of academic papers in order to detect unrelated communities which are not related to target topic. A citation network, extracted by given keywords, is divided into communities based on the density of links. We measured and compared four measures of relatedness between two communities in a citation network for three large-scale citation datasets. We used both link and semantic similarities.The topological distance from the center in a citation network is a more efficient measure for removing the unrelated communities than the other three measures: the ratio of the number of intercluster links over the all links, the ratio of the number of common terms over all terms, cosine similarity of tf-idf vectors.

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A review of innovation research in economics, sociology and technology management

Cited by 587 publications

References 60 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

Analyzing innovation adoption using a knowledge-based approach

Measuring relatedness between communities in a citation network

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