Because Everybody is Different: Towards Understanding the Acceptance of Organizational IT Standards

Mueller, Thomas S.; Dittes, Sven; Ahlemann, Frederik; Urbach, Nils; Smolnik, Stefan

doi:10.1109/hicss.2015.487

Cited by 9 publications

(13 citation statements)

References 29 publications

(37 reference statements)

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“…As with Chen (2002), this research combines the impact of standards and technology. Mueller, Dittes, Ahlemann, Urbach, & Smolnik (2015) researches the elements that influence the intention to accept and use IT standards and focuses on the individual. The study researches the acceptance using the TAM and the theory of planned behaviour (TPB; Ajzen, 1991).…”

Section: Acceptance Models For Data Standardsmentioning

confidence: 99%

“…TPB states that "Attitudes toward the behaviour, subjective norms with respect to the behaviour, and perceived control over the behaviour are usually found to predict behavioural intentions with a high degree of accuracy" (Ajzen, 1991, p. 206). Mueller et al (2015) discusses the moderating role of the personality of the individual. People with a high score on 'openness' are likely to adopt innovations.…”

Section: Acceptance Models For Data Standardsmentioning

confidence: 99%

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“Technology Readiness and Acceptance Model” as a Predictor for the Use Intention of Data Standards in Smart Cities

Buyle

Compernolle

Vlassenroot

et al. 2018

MaC

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Taking the region of Flanders in Belgium as a case study, this article reflects on how smart cities initiated a grassroots initiative on data interoperability. We observe that cities are struggling due to the fragmentation of data and services across different governmental levels. This may cause frustrations in the everyday life of citizens as they expect a coherent user experience. Our research question considers the relationship between individual characteristics of decision makers and their intention to use data standards. We identified criteria for implementing data standards in the public sector by analysing the factors that affect the adoption of data governance, based on the Technology Readiness and Acceptance Model (TRAM), by conducting an online survey (n = 205). Results indicate that respondents who score high on innovativeness have a higher intention to use data standards. However, we conclude that personality characteristics as described in the TRAM-model are not significant predictors of the perceived usefulness and perceived ease of use of data standards. Therefore, we suggest exploring the effects of network governance and organisational impediments to speed-up the adoption of open standards and raise interoperability in complex ecosystems.

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Section: Acceptance Models For Data Standardsmentioning

confidence: 99%

Section: Acceptance Models For Data Standardsmentioning

confidence: 99%

“Technology Readiness and Acceptance Model” as a Predictor for the Use Intention of Data Standards in Smart Cities

Buyle

Compernolle

Vlassenroot

et al. 2018

MaC

View full text Add to dashboard Cite

show abstract

“…Although the adoption of health information standards will promote better information sharing and connectivity within and between organizations, there are certain risks and uncertainties in adoption behavior because of past experiences; hence, organizational factors play a significant role in decision making. On the basis of our findings, 19 studies used organizational characteristic factors to assess the impact of adopting information standards [ 12 , 13 , 18 , 22 , 25 , 26 , 28 , 30 - 35 , 37 , 38 , 40 - 43 , 46 - 48 ]. In this study, organizational scale, organizational culture, staff resistance to change, staff training, top management support, and organizational readiness were included in the synthesized framework.…”

Section: Discussionmentioning

confidence: 98%

“…When it comes to the adoption of health information standards, environment is a force that can encourage or impede an organization to adopt standards [ 28 ]; thus, environmental factors are also important factors that cannot be ignored. On the basis of the data extracted from the literature, 23 studies used environmental characteristic factors to assess the impact of adopting information standards [ 12 , 13 , 18 , 22 - 28 , 30 - 35 , 37 , 38 , 40 , 42 , 43 , 45 , 46 , 48 - 50 ]. In this study, external pressure, external support, network externality, installed base, and information communication were included in the synthesized framework.…”

Section: Discussionmentioning

confidence: 99%

Factors Influencing the Adoption of Health Information Standards in Health Care Organizations: A Systematic Review Based on Best Fit Framework Synthesis

Han¹,

Liu²,

Song³

et al. 2020

JMIR Med Inform

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Background Since the early 1970s, health care provision has experienced rapid growth in the investment and adoption of health information technologies (HITs). However, the development and deployment of HITs has often been conducted in silos, at different organizational levels, within different regions, and in various health care settings; this has resulted in their infrastructures often being difficult to manage or integrate. Health information standards (ie, the set norms and requirements that underpin the deployment of HITs in health care settings) are expected to address these issues, yet their adoption remains to be frustratingly low among health care information technology vendors. Objective This study aimed to synthesize a comprehensive framework of factors that affect the adoption and deployment of health information standards by health care organizations. Methods First, electronic databases, including Web of Science, Scopus, and PubMed, were searched for relevant articles, with the results being exported to the EndNote reference management software. Second, study selection was conducted according to pre-established inclusion and exclusion criteria. Finally, a synthesized best fit framework was created, which integrated a thematic analysis of the included articles. Results In total, 35 records were incorporated into the synthesized framework, with 4 dimensions being identified: technology, organization, environment, and interorganizational relationships. The technology dimension included relative advantage, complexity, compatibility, trialability, observability, switching cost, standards uncertainty, and shared business process attributes. The organization dimension included organizational scale, organizational culture, staff resistance to change, staff training, top management support, and organizational readiness. The environment dimension included external pressure, external support, network externality, installed base, and information communication. Finally, the interorganizational relationships dimension included partner trust, partner dependence, relationship commitment, and partner power. Conclusions The synthesized framework presented in this paper extends the current understanding of the factors that influence the adoption of health information standards in health care organizations. It provides policy and decision makers with a greater awareness of factors that hinder or facilitate their adoption, enabling better judgement and development of adoption intervention strategies. Furthermore, suggestions for future research are provided.

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“…Many companies try to converge on particular IT processes and/or IT products to gain business benefits such as quality improvements, cost reductions or obtaining strategic advantage (Swaminathan, 2001;Boh and Yellin, 2007;Mueller et al, 2015). These efforts can be described as standardization activities since the parties involved "….…”

Section: Introductionmentioning

confidence: 99%

Company IT Standardization

Wessel¹,

Vries

2019

Advances in Human Resources Management and Organizational Development

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Many companies have embarked on IT standardization initiatives with specific benefits in mind, but some projects fail dramatically whereas others are very successful. The research suggests that successful company standardization projects require good governance and management across distinct lifecycle phases: selection, implementation, and use and change. The authors present a case study from a financial services company to demonstrate effective practices that have led to significant financial benefits, to improved service delivery and support, and to a more stable IT environment. In addition, the authors discuss how an agile way of working could further improve standardization initiatives in organizations.

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Because Everybody is Different: Towards Understanding the Acceptance of Organizational IT Standards

Abstract: Abstract

Cited by 9 publications

References 29 publications

“Technology Readiness and Acceptance Model” as a Predictor for the Use Intention of Data Standards in Smart Cities

“Technology Readiness and Acceptance Model” as a Predictor for the Use Intention of Data Standards in Smart Cities

Factors Influencing the Adoption of Health Information Standards in Health Care Organizations: A Systematic Review Based on Best Fit Framework Synthesis

Company IT Standardization

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