scholarly journals Conceptual Model for SMEs' Data Maturity Assessment

2021 ◽  
Author(s):  
Blaž Gašperlin ◽  
Keyword(s):  
Design Science ◽  
Science Research ◽  
Digital Transformation ◽  
Research Approach ◽  
Maturity Model ◽  
Manufacturing Companies ◽  
Capability Maturity ◽  
Additional Challenge ◽  
Digital Enterprise ◽  
Rapid Shift

Digital transformation has brought about a rapid shift towards a completely digital enterprise, generating a huge amount of data. Most small and medium-sized enterprises (SMEs) have data stored in different places, formats, and systems, or are unaware that it exists (Dark Data). While digital technologies are at the root of rapid data growth within and outside organizations, sharing and exchanging data between organizations presents an additional challenge. We argue that one of the barriers to the successful digital transformation of SMEs is data immaturity. The concept of data maturity has been addressed from different aspects (data quality, governance,...), in specific domains (supply chain management, manufacturing companies,...) and from the perspective of the Capability Maturity Model. However, there has been no study that has addressed a comprehensive assessment of data maturity for the SME sector as a multi-criteria problem. In this research, we propose to combine the ideas of maturity models and multicriteria decision modeling by using a design science research approach. The developed model will help SMEs assess their data maturity level and help them understand what aspects of data maturity they need to advance, what steps they need to take, and how to evaluate their progress

IT Project Development using Capability Maturity Model

2016 ◽  
Vol 29 (4) ◽  
pp. 35-48
Author(s):  
Mousumi Kabir ◽  
Lazar Rusu
Keyword(s):  
Design Science ◽  
Science Research ◽  
Capability Maturity Model ◽  
Maturity Model ◽  
Project Development ◽  
It Projects ◽  
Development Environment ◽  
Large Company ◽  
Capability Maturity ◽  
It Project

In many research studies on IT project development process, the authors have noticed that different frameworks are used for this purpose. In fact, many companies choose specific frameworks to run their IT projects based on project type and face dissimilar problems during the execution. In this research the authors are presenting a framework for IT project development using Capability Maturity Model. The framework has been developed to improve the IT project development in a large company because of the lower rate of successfully IT projects in that company. To develop the framework, they have used design science research and evaluated this framework with the project managers from that large company. The result of this research is a framework for IT projects development that is based on generic Capability Maturity Model and is adapted to the specific needs of an IT project development environment. Moreover, the framework identifies for each key process area of IT project development, the goals and activities to be performed.

scholarly journals The Library Assessment Capability Maturity Model: A Means of Optimizing How Libraries Measure Effectiveness

2018 ◽  
Vol 13 (4) ◽  
pp. 31-49
Author(s):  
Simon Hart ◽  
Howard Amos
Keyword(s):  
Ad Hoc ◽  
Design Science ◽  
Science Research ◽  
Assessment Process ◽  
Capability Maturity Model ◽  
Maturity Model ◽  
Maturity Level ◽  
Activity Data ◽  
Capability Maturity ◽  
Library Assessment

Abstract Objective – This paper presents a Library Assessment Capability Maturity Model (LACMM) that can assist library managers to improve assessment. The process of developing the LACMM is detailed to provide an evidence trail to foster confidence in its utility and value. Methods – The LACMM was developed during a series of library benchmarking activities across an international network of universities. The utility and value of the LACMM was tested by the benchmarking libraries and other practitioners; feedback from this testing was applied to improve it. Guidance was taken from a procedures model for developing maturity models that draws on design science research methodology where an iterative and reflective approach is taken.  Results – The activities decision making junctures and the LACMM as an artifact make up the results of this research. The LACMM has five levels. Each level represents a measure of the effectiveness of any assessment process or program, from ad-hoc processes to mature and continuously improving processes. At each level there are criteria and characteristics that need to be fulfilled in order to reach a particular maturity level. Corresponding to each level of maturity, four stages of the assessment cycle were identified as further elements of the LACMM template. These included (1) Objectives, (2) Methods and data collection, (3) Analysis and interpretation, and (4) Use of results. Several attempts were needed to determine the criteria for each maturity level corresponding to the stages of the assessment cycle. Three versions of the LACMM were developed to introduce managers to using it. Each version corresponded to a different kind of assessment activity: data, discussion, and comparison. A generic version was developed for those who have become more familiar with using it. Through a process of review, capability maturity levels can be identified for each stage in the assessment cycle; so too can plans to improve processes toward continuous improvement. Conclusion – The LACMM will add to the plethora of resources already available. However, it is hoped that the simplicity of the tool as a means of assessing assessment and identifying an improvement path will be its strength. It can act as a quick aide-mémoire or form the basis of a comprehensive self-review or an inter-institutional benchmarking project. It is expected that the tool will be adapted and improved upon as library managers apply it.

Making or breaking the business case of digital transformation initiatives: the key role of learnings

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Michele Colli ◽  
Verena Stingl ◽  
Brian V. Waehrens
Keyword(s):  
Technology Implementation ◽  
Design Science ◽  
Single Case ◽  
Science Research ◽  
Business Case ◽  
Theoretical Framework ◽  
Digital Transformation ◽  
Research Approach ◽  
Content Type

PurposeThe research aims to investigate how firms can develop their sensing capabilities for Industry 4.0 (I4.0) technology adoption through reframing their opportunity perceptions related to learnings from I4.0 initiatives.Design/methodology/approachThe research follows a design science research approach. Following the case of I4.0 technology introduction at a large food manufacturer, the paper develops a theoretical framework (artefact) and validates the applicability and efficacy of the framework within the case study.FindingsThe theoretical framework highlights the different temporal (short-term/long-term) and locational (direct/indirect) value dimensions of I4.0 opportunities. The findings show that the use of the framework can shift managers’ perception regarding the business value of an I4.0 technology implementation. Specifically, the framework reversed initially negative perceptions around a narrowly scoped business case towards an opportunity-oriented attitude exploring further potentials of the technology.Research limitations/implicationsThe research adds to the debate when and why firms engage in, and sustain their I4.0 initiatives by providing a novel perspective on firms’ sensing capabilities. As a single-case study, the framework requires further validation in practice.Practical implicationsThe proposed framework provides practitioners with an extended view concerning the potential value of digital transformation projects and serves as a conversational tool.Originality/valueThe presented wider frame for evaluating digital transformation projects, taking into account the more “intangible” value of their learnings, tackles the fundamental issue of translating explorative innovation efforts into exploitative value – a key challenge when dealing with innovation and one of the main barriers for the digital transformation.

scholarly journals Using Blockchain Technology to Foster Collaboration among Shippers and Carriers in the Trucking Industry: A Design Science Research Approach

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 37
Author(s):  
Serkan Alacam ◽  
Asli Sencer
Keyword(s):  
Private Information ◽  
Design Science ◽  
Science Research ◽  
Trucking Industry ◽  
Research Approach ◽  
Blockchain Technology ◽  
Storage Solutions ◽  
Sustainability Problems ◽  
And Storage ◽  
Industry Professionals

In the global trucking industry, vertical collaboration between shippers and carriers is attained by intermediaries, called brokers. Brokers organize carriers for a shipper in accordance with its quality and price requirements, and support carriers to collaborate horizontally by sharing a large distribution order from a shipper. Brokers also act as trustees, preventing the passing of private information of any party to the others. Despite these benefits, intermediaries in the trucking industry are involved in several sustainability problems, including high costs, high levels of carbon emissions, high percentages of empty miles, low-capacity utilizations, and driver shortages. Several studies have acknowledged the importance of improving collaboration to address these problems. Obviously, the major concern of brokers is not collaboration, but rather to optimize their own gains. This paper investigates the potential of blockchain technology to improve collaboration in the trucking industry, by eliminating brokers while preserving their responsibilities as organizers and trustees. This paper extends the transportation control tower concept from the logistics literature, and presents a system architecture for its implementation through smart contracts on a blockchain network. In the proposed system, the scalability and privacy of trucking operations are ensured through integration with privacy-preserving off-chain computation and storage solutions (running outside of the blockchain). The potential of this design artifact for fostering collaboration in the trucking industry was evaluated by both blockchain technology experts and trucking industry professionals.

A barrier diagnostic framework in process of digital transformation in higher education institutions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bayu Rima Aditya ◽  
Ridi Ferdiana ◽  
Sri Suning Kusumawardani
Keyword(s):  
Higher Education ◽  
Process Model ◽  
Design Science ◽  
Research Question ◽  
Science Research ◽  
Digital Transformation ◽  
Successful Implementation ◽  
Content Type ◽  
Systematic Understanding ◽  
Diagnostic Framework

PurposeExisting literature has reported a barrier list that could affect the implementation of digital transformation in higher education, yet the research question of how to identify barriers remained unanswered. Thus, this study intended to address this gap.Design/methodology/approachThe research design adopted a mixed-methods approach based on the problem-centered design science research (DSR) process model for the development and evaluation of framework.FindingsThis study proposed a systematic framework of three sets of components: (1) the initial set of barriers; (2) the barrier rating scheme and (3) the barrier scoring matrix. The three-component of the framework is to identify and prioritize barriers to the successful implementation of digital transformation in higher education.Research limitations/implicationsThe evaluation of the framework was only based on an expert opinion.Practical implicationsThis study provided a direction to the policymakers for designing sensible strategies to increase the chances of a successful digital transformation in higher education.Originality/valueThis study contributes to the knowledge body by offering a more systematic understanding of barriers to digital transformation in higher education.

scholarly journals A analytics study Mapping Study of Collaborative business intelligence and self-service

2021 ◽  
Vol 9 (12) ◽  
pp. 1032-1037
Author(s):  
Tanmayee Parbat
Keyword(s):  
Business Intelligence ◽  
Design Science ◽  
Science Research ◽  
Research Approach ◽  
Knowledge Database ◽  
Architecture Model ◽  
Service Oriented ◽  
Decision Making Processes ◽  
Self Service ◽  
Self Learning

Abstract: Self-service Business Intelligence (SSBI) is an emerging topic for many companies. Casual users should be enabled to independently build their own analyses and reports. This accelerates and simplifies the decision-making processes. Although recent studies began to discuss parts of a self-service environment, none of these present a comprehensive architecture. Following a design science research approach, this study proposes a new self-service oriented BI architecture in order to address this gap. Starting from an in-depth literature review, an initial model was developed and improved by qualitative data analysis from interviews with 18 BI and IT specialists form companies across different industries. The proposed architecture model demonstrates the interaction between introduced self-service elements with each other and with traditional BI components. For example, we look at the integration of collaboration rooms and a self-learning knowledge database that aims to be a source for a report recommender. Keywords: Business Intelligence, Big Data, Architecture, Self-Service, Analytics

Digital transformation of legionella-safe cooling towers: an ecosystem design approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alexandra Ângelo ◽  
João Barata
Keyword(s):  
Cooling Tower ◽  
Design Science ◽  
Science Research ◽  
Digital Transformation ◽  
Cooling Towers ◽  
Goal Modeling ◽  
Outbreak Response ◽  
Content Type ◽  
Outbreak Management ◽  
Digital Architecture

Purpose Legionnaires’ disease is a major threat to public health. Solutions to deal with this problem are usually siloed and not entirely effective. This paper aims to model the information requirements of legionella-safe cooling towers in the era of Industry 4.0. Design/methodology/approach A year-long design science research was conducted in a cooling tower producer for heavy industries. The project started with a bibliometric analysis and literature review of legionella in cooling towers. Goal modeling techniques are then used to identify the requirements for digital transformation. Findings The improvement of legionella prevention, detection and outbreak response in digitally enabled cooling tower should involve different stakeholders. Digital twins and blockchain are disruptive technologies that can transform the cooling tower industry. Originality/value For theory, this study revises the most recent advances in legionella protection. Legionella-safe systems must be prepared to anticipate, monitor and immediate alert in case of an outbreak. For practice, this paper presents a distributed and digital architecture for cooling tower safety. However, technology is only a part of outbreak management solutions, requiring trustworthy conditions and real-time communication among stakeholders.

Sign in / Sign up

Export Citation Format

Share Document