A Maturity model for hospital information systems

Carvalho, João Vidal; Rocha, Álvaro; Wetering, Rogier van de; Abreu, António

doi:10.1016/j.jbusres.2017.12.012

Cited by 71 publications

(46 citation statements)

References 41 publications

(44 reference statements)

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“…Despite their relevance and popularity in various management disciplines, the development and application of maturity models still bears a number of shortcomings [16]. The most prominent point of criticism concerns the poor theoretical basis and empirical evidence of maturity models [17]. Furthermore, de Bruin et al claim that particularly limited documentation on the development of the maturity model may contribute to the lack of validity and rigor [19].…”

Section: Digital Maturity Modelsmentioning

confidence: 99%

How to Measure Digitalization? A Critical Evaluation of Digital Maturity Models

Thordsen

Bick

2020

Lecture Notes in Computer Science

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To preserve competitive advantage in a more and more digitalized environment, today's organizations seek to assess their level of digital maturity. Given this particular practical relevance, a plethora of digital maturity models, designed to asses a company's digital status quo, has emerged over the past few years. Largely developed and published by practitioners, the academic value of these models remains obviously unclear. To shed light on their value in a broader sense, in this paper we critically evaluate 17 existing digital maturity modelsidentified through a systematic literature search (2011-2019)with regard to their validity of measurement. We base our evaluation on established academic criteria, such as generalizability or theory-based interpretation, that we apply in a qualitative content analysis to these models. Our analysis shows that most of the identified models do not conform to the established evaluation criteria. Based on these insights, we derive a detailed research agenda and suggest respective research questions and strategies.

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Section: Digital Maturity Modelsmentioning

confidence: 99%

How to Measure Digitalization? A Critical Evaluation of Digital Maturity Models

Thordsen

Bick

2020

Lecture Notes in Computer Science

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“…This suggests that maturity models not only allow for internal analysis but also an ability to competitively benchmark processes and performance against others. Maturity models differ in terms of the number of stages used, variables and characteristics chosen and areas of focus and whether they are used as a form of “gap analysis” or best practice methodology, that is, they focus either on considering maturity in terms of iterative stages, maturity dimensions, or the sophistication of the factors that influence the degree of maturity (Carvalho, Rocha, van de Wetering, & Abreu, 2019). Enke et al.…”

Section: Determining Cultural Maturitymentioning

confidence: 99%

“…(2017) distinguish maturity models as either being assessment models or optimization models, where assessment models evaluate individual elements, components, and dimensions of a culture and optimization models highlight the transition process with cultural maturity levels based on best practice. Therefore, complex measurement of cultural maturity requires the identification of characteristics (traits) so they can act as descriptors, or “variables of reference” and demonstrate transition through an evolutionary process from one place or status to another (Becker, Knackstedt, & Pöppelbuß, 2009; Carvalho et al., 2019; Mettler & Rohner, 2009). However, transformation requires an organizational ability or willingness to change through a process of design and redesign (Reefke & Sundaram, 2018).…”

Section: Determining Cultural Maturitymentioning

confidence: 99%

“…Frameworks are therefore designed to encompass the dimensions, traits, and attributes associated with a given organizational climate. Frameworks, models, and assessment tools have been developed to determine cultural maturity for safety in the petrochemical sector (Goncalves Filho et al., 2010); gas operations (Behari, 2019); mining (Stemn et al., 2019); information systems management in hospitals (Carvalho et al., 2019); sustainability (Reefke & Sundaram, 2018), and food safety culture (Jespersen et al., 2016). Although some cultural maturity assessment tools only focus on positive cultural aspects, verifiable traits can be used to demonstrate both positive and negative aspects of organizational climate.…”

Section: Determining Cultural Maturitymentioning

confidence: 99%

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Moving from a compliance‐based to an integrity‐based organizational climate in the food supply chain

Manning¹

2020

Comp Rev Food Sci Food Safe

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Compliance is the act or status of complying with an imperative regulatory or normative requirement, that is, compliance means working within boundaries defined by contractual, social, or cultural standards. The aim of this narrative review is to use the food supply chain as a lens of enquiry to distinguish between compliance-based and integrity-based organizational climates and frame and rationalize why deviant behavior arises and how it can be identified. Contemporary theory is explored and critiqued using case studies to contextualize the challenge of organizations promoting supply chain compliance and at the same time recognizing the need for deviant behavior to occur in order to drive innovation and continuous improvement within food supply chains. Deviant behavior can be perceived as either positive in terms of driving continuous improvement or destructive where this behavior has a negative impact on the organization. Although multiple cultural maturity models seek to characterize positive food safety culture and climate, there is minimal research that focuses on the characterization of deviant negative behavior or the development of early warning systems designed to pinpoint signals, traits, or characteristics of this behavior such as low staff morale, theft, property destruction, or absenteeism. The use of cultural maturity models and assessment tools is of value in assisting organizations to translate from a rule, instrumental, or compliance-based organizational climate to an ethically strong organizational climate that focuses on integrity, building trust, and values and a new cultural maturity model is proposed and explored.

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“…The systematic literature review revealed countless maturity models for different areas, such as information technology, projects, among others, each with a rather specific focus [21]. Up to 2016, no works had measured the maturity levels of TTOs in terms of their efficiency in technology transfer.…”

Section: Maturity Model In Developing Countriesmentioning

confidence: 99%

Building Sustainable Development through Technology Transfer Offices: An Approach Based on Levels of Maturity

et al. 2020

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This study focuses on how technology transfer offices' (TTO) maturity level influences sustainable development in developing countries. A method for defining the maturity level of technology transfer offices was developed based on criteria, dimensions and variables from a comprehensive literature review. Technology transfer specialists were responsible for attaching weight to elements using the multicriteria method, fuzzy simple additive weighting. Results provided an important overview of 105 Brazilian TTOs, their maturity level and the impact on sustainable development.

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A Maturity model for hospital information systems

Cited by 71 publications

References 41 publications

How to Measure Digitalization? A Critical Evaluation of Digital Maturity Models

How to Measure Digitalization? A Critical Evaluation of Digital Maturity Models

Moving from a compliance‐based to an integrity‐based organizational climate in the food supply chain

Building Sustainable Development through Technology Transfer Offices: An Approach Based on Levels of Maturity

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