Design Of Digital Platforms Research Articles

Product development process for a new healthcare service in the Industry 4.0 context: an action research approach

Precision Medicine (PM) is a personalised approach that uses genetic, environmental, and lifestyle information to prevent, diagnose, and treat disease more effectively. This study aims to explore how Industry 4.0 technologies can enable the development of a new healthcare product, specifically a new PM service. Action Research has been used to identify the needs and orient the design and development of a technological platform that enables PM to be applied in healthcare institutions. This methodology can also act as a guide for advancing research and making the service a regular clinical practice. This research furthers understanding of how I4.0 technologies enable the generation of specific capabilities and their use to create other innovative healthcare products, in general, and PM products, in particular. Study findings offer practical and governmental implications and can serve as the basis for digital platform design and development to facilitate PM practices in healthcare institutions.

Reflections on Accessible Design from the Perspective of the Digital Age

Provide a comfortable and safe environment for the lives of disadvantaged groups and improve their happiness index. Focus on the basic needs and future security of vulnerable groups, establish standards and norms for digital ageing, and improve the adaptation of older groups to technological life. Through the analysis of audience groups, understand the needs of people with disabilities and disadvantaged groups, analyze the six principles of accessibility design digital principles, based on the comprehensive needs of different groups, combined with the actual accessibility digital platform design cases, provide new improvement methods and ideas for the accessibility design of digital platforms, and explore the innovative ideas of accessibility design in digital platforms. Solve the interaction difficulties of digital platform, so that the disadvantaged groups can also enjoy the convenience of digital technology, while realizing their own value. Being grounded also enhances the designer's own value and sense of social responsibility. Paving the way for future developments in accessible design.

Why Digital Platforms by Incumbents Fail: Results from a Delphi Study

In an economy increasingly dominated by digital platforms, incumbent firms are trying to launch platforms associated with their original products in an attempt to remain relevant and create additional value propositions. Yet, evidence shows that digital platform design from within a non-digital product company is not straightforward and many failures have been observed. As previous research is scarce to explain the root causes of this lack of platform success, we conducted a Delphi study with global experts in the automotive industry to identify those factors that can explain why these incumbents are failing with their digital platform initiatives. We identified six categories that complement the established body of knowledge on failure factors with digital platforms. Based on that, we suggest an integrative framework to explain typical failures in digital platforms by incumbents.

Predictors of problematic internet use in the everyday internet activities of a French representative sample: The importance of psychological traits

Recent years have seen growing concern about the detrimental effects of digital activities on well-being and mental health. A major axis of concern is problematic internet use (PIU): dysregulated or excessive uses of online websites or applications, which can interfere with other daily-life activities. Given potential health impacts, better understanding of the predictors of PIU is warranted. This study investigated possible socio-demographic and psychological determinants of PIU for various types of Internet activities. We recruited a sample of 1504 participants representative of the French population aged 15 and above. Socio-demographic variables (sex, age, income, educational attainment) and psychological traits (dispositional flow, trait and state anxiety, fear of missing out) were surveyed, along with problematic uses in major digital activities (gambling, streaming, social media, video game, shopping, news, cybersex). The results showed that fear of missing out had the most explanatory power for PIU, followed by anxiety. Contrary to our expectations, socio-demographic variables explained very little variance in PIU, with only age emerging as a weak predictor in some analyses. Overall, psychological traits appeared to be more promising predictors of problematic uses, with detrimental effects of fear of missing out and anxiety presumably reflecting maladaptive coping strategies or unfulfillment of psychological needs. These results open up discussion regarding the design of digital platforms and public mental health policy.

Management of digital additive manufacturing: Features and perspectives

Aim. To find and argue points of growth of additive manufacturing, as well as to justify the rel­evance and significance of new business models using digital platforms.Tasks. To consider the features of management of digital additive manufacturing; to analyze the reasons for the low rate of additive technology development; to show the prospects of dig­ital development of additive manufacturing; to justify the importance of digital platforms for additive services as a new business model and prove that digital additive manufacturing can be characterized as a system innovation.Methods. General scientific methods (analysis, synthesis, monographic, grouping) were used in the research. The best Russian and world practices, fundamental and applied works of na­tional and foreign researchers, scientists, practitioners in the field of management, digital transformation were studied using the search of relevant research in open sources, both in ge­neral purpose search engines, and in specialized search engines and databases.Results. It is proved that digital additive manufacturing should be regarded as a system in­novation, and its large-scale benefits can be realized if the technology is complemented by va­rious innovations in products, processes and services. From the author's point of view, the po­tential and prospects of a new business model in the online market of additive design and manu­facturing are obvious: a digital platform of additive services for manufacturing parts from various materials.Conclusions. Additive manufacturing plays a vital role in Industry 4.0 because of the shortened cycle time of the lean process and the high degree of decentralization of production processes. Therefore, a systematic approach using digital platforms is required to unlock their capabilities. Customers who require parts produced using this technology can place their designs on a plat­form and find a manufacturing partner based on available technical resources, geographic loca­tion, and the amount of anticipated cost. Implementing a digital platform design strategy that integrates all stages of the design and production process for different products, facilitates data traceability and product reproducibility on different additive manufacturing machines, greatly increases customer value.

Smart digital platforms for carbon neutral management and services: Business models based on ITU standards for green digital transformation

This brief research report focuses on the effects of artificial intelligence (AI) on the environment, by analyzing the latest documents issued by major standard organizations such as the International Telecommunication Union (ITU) and the Internet Society of China (ISC). By outlining the latest developments into a platform canvas for carbon neutrality management and services, this report identifies the potential of “AI of the environment” (i.e., the material composition and environmental impact of AI itself) and “AI for the environment” (i.e., the purposeful use of smart applications to benefit the environment). The role of AI is contextualized in the digital platform design for the provision of services on carbon emission data, which serves as the material foundation for smart services facing both the producers and the consumers of such information. Contributing to the design of business models that enable open innovations, this report discusses the emission impact reduction mechanisms that can optimize, substitute, induce, manage, and facilitate processes and services, indicating the potential of AI-enabled smart services such as forecasting, planning, and recommendation systems. Despite the limited disciplinary considerations and detailed discussions on specific AI technologies, this report provides a simple, practical, and flexible technology roadmap that can be used as a guide for researchers and practitioners to refine their operations and designs and to follow best practices. This report succinctly visualizes key elements of digital platforms of/for GHG emission reduction and their enabling mechanisms, serving as an AI technology roadmap for future research and innovation in the field.

Success Factors of Digital Platform Design

Digital platforms disrupt today’s industries with novel offers and business models. Despite their revolutionizing impact, over 80% of platforms fail. To better understand what differentiates failing from successful platforms, we identified 30 platform success factors. These range from corporate value integration, where the platform strategy gets defined and the platform’s value definition, to the platform architecture covering all essential IT considerations and best practices making, e.g., innovation and personalization possible. To make these success factors usable in practice, we integrated all 30 success factors into the wellestablished Business Model Canvas (BMC) widely adopted for business model design. This method was chosen to test the applicability and usefulness of the platform success factors in a widely used vehicle and thus ease our workshop study. The success factors are promising, as demonstrated in our workshop study.

Financial monitoring digital platform design

Financial monitoring digital platform design

Click CWLS as a Solution to Improve Community's Understanding of Sukuk Linked Sukuk Cash Products

The Indonesian government has issued an innovative Islamic philanthropy-based sharia investment product in the form of Cash Waqf Linked Sukuk (CWLS). This study aims to: (1) Analyze the level of public understanding of CWLS. (2) Provide solutions to improve community literacy related to CWLS. (3) Provide a digital platform design that makes it easier for the public to access information and to buy CWLS products. The research method used is descriptive qualitative. Sources of data are primary data obtained from a questionnaire of 101 millennial Muslim samples in Yogyakarta and secondary data obtained from literature studies. The results of the study are (1) the understanding of the Muslim community in Yogyakarta regarding CWLS is still very low at 17.8%. (2) the use of social media and influencers to increase public literacy related to CWLS products. (3) Click CWLS as a digital platform that is integrated in Islamic banking mobile banking to access information about CWLS and to buy CWLS products easily and practically.
 Keywords: Cash Waqf Link Sukuk; Literacy; Digital Platform

Computer‐supported knowledge building to enhance reading motivation and comprehension

AbstractReading motivation can greatly impact reading comprehension, but it tends to diminish in and beyond elementary school. This study employs knowledge building pedagogy to advance reading motivation and comprehension in an elementary Chinese language arts class. Participants were twenty‐four third graders who spent one class period (ie, 40 minutes) for 18 weeks in Knowledge Forum to study 10 lessons in a reading textbook. Data mainly came from: a reading motivation questionnaire, online interaction logs, online discourse and PILRS reading comprehension assessments. It was found that knowledge building enhanced children's reading motivation (particularly in terms of reading competence) and reading comprehension (especially at the higher levels). Most students demonstrated spontaneous engagement in advanced online activities demanding high‐level agency. A correlation was also identified between children's motivation to read and more advanced online discourse behaviours requiring higher agency, leading to a deeper understanding of reading. Implications for fostering a motivated reading community that values collective knowledge advancement are discussed.Practitioner notesWhat is already known about this topic Innovating classroom‐based instruction for enhancing learners' reading motivation and comprehension has been an important challenge in reading education. Reading motivation is positively associated with reading comprehension but tends to diminish in and beyond elementary school. Technology‐supported reading and learning are further enhanced by interactive online discussions among learners. Engaging learners in collective knowledge building activities can facilitate their reading comprehension. What this paper adds Learner engagement in knowledge building activities, particularly advanced online activities, is associated with higher reading motivation (especially intrinsic reading competence). The process analysis shows that learners' online discourses focus more on higher‐level reading comprehension with extended use of knowledge building pedagogy. Learners exhibit better reading comprehension across all levels of reading comprehension with the implementation of knowledge building pedagogy. Implications for practice and/or policy Knowledge building pedagogy, featuring assuming agency, working with ideas, and fostering community practices, can be a viable approach to reading motivation and comprehension. The design of digital platforms should aim not just to foster knowledge‐acquiring and ‐sharing from reading but also to extend reading into knowledge building activities that highlight idea improvement.

The Indonesia Triple Helix Digital Platform Model in Knowledge Sharing for Product Innovation Collaboration

The research gap between research institutions or universities and industry is still happening today. That arises because there has not been a maximum research collaboration between academic research and industry. This study aimed to develop a triple helix digital platform model in the product innovation ecosystem. Soft Systems Methodology (SSM) was chosen to conduct proposed scientific contributions in knowledge management in the triple helix digital platform model, especially knowledge sharing in product innovation. Data collected through the literature review and interview process with one researchers and two Small and Medium Enterprise (SME) owners, the seven stages of the SSM are used to analyse the results. This research resulted in a conceptual model and a prototype of a digital platform design with a strong foundation for knowledge sharing product innovation in the digital platform ecosystem. This prototype application will support collaboration between researchers and Small and Medium Industries to product innovation.

Governance and Design of Digital Platforms: A Review and Future Research Directions on a Meta-Organization

The burgeoning digital-platforms literature across multiple business disciplines has primarily characterized the platform as a market or network. Although the organizing role of platform owners is well recognized, the literature lacks a coherent approach to understanding organizational governance in the platform context. Drawing on classic organizational governance theories, this paper views digital platforms as a distinct organizational form where the mechanisms of incentive and control routinely take center stage. We systematically review research on digital platforms, categorize specific governance mechanisms related to incentive and control, and map a multitude of idiosyncratic design features studied in prior research onto these mechanisms. We further develop an integrative framework to synthesize the review and to offer novel insights into the interrelations among three building blocks: value, governance, and design. Using this framework as a guide, we discuss specific directions for future research and offer a number of illustrative questions to help advance our knowledge about digital platforms’ governance mechanisms and design features.

BUSINESS SUSTAINABILITY MODEL IN THE NEW NORMAL ERA THROUGH MICRO AND SMALL BUSINESS DIGITAL PLATFORMS IN RURAL AREAS

The policy of preventing the transmission of Covid-19 through Large-Scale Social Borders and the Enforcement of Restrictions on Community Activities has had an impact on the economy. Many micro and small businesses have stopped operating, workers have been laid off, unemployment has increased, and there has been new poverty. This study aims to implement a business sustainability model that can adapt to new normal conditions supported by digital platform applications in a rural area and obtain a Covid-19 prevention model with a change in business governance orientation approach that can adapt to the new normal era. The research method used is literature study, exploratory survey, experimental research, and applied research. A field survey was conducted to obtain primary data at the village level. An experimental method to test business sustainability models and digital platform applications on micro and small businesses. Digital platform literacy is carried out through online workshops. The unit of analysis is micro and small business actors. The data analyzed are time series. The research site was in Sumedang Regency from September 2020 to July 2021. The results showed that during the Covid-19 pandemic there were micro and small business activities that made changes, although there were also those who laid off their businesses. Adjustments in the form of substitution of raw materials, modification, diversification, making new products, and changing the way of marketing. The digital platform design is made on a web and android based to carry out the function or process of online transactions for micro and small business products in rural areas. It is hoped that MSE entrepreneurs will understand, through complete information, adjusting needs, as well as helping prevent the transmission of Covid-19 and can support business sustainability in the new normal era.

Social Influence Leads to the Formation of Diverse Local Trends

How does the visual design of digital platforms impact user behavior and the resulting environment? A body of work suggests that introducing social signals to content can increase both the inequality and unpredictability of its success, but has only been shown in the context of music listening. To further examine the effect of social influence on media popularity, we extend this research to the context of algorithmically-generated images by re-adapting Salganik et al's Music Lab experiment. On a digital platform where participants discover and curate AI-generated hybrid animals, we randomly assign both the knowledge of other participants' behavior and the visual presentation of the information. We successfully replicate the Music Lab's findings in the context of images, whereby social influence leads to an unpredictable winner-take-all market. However, we also find that social influence can lead to the emergence of local cultural trends that diverge from the status quo and are ultimately more diverse. We discuss the implications of these results for platform designers and animal conservation efforts.

Digital psychology test with socio-technical system as an unemployment solution

Unemployment is a problem that is still hotly discussed. The problem of unemployment is very important because it has the potential to cause crime, social, political turmoil and poverty. One potential unemployment is from vocational education graduates. The cause of unemployment for vocational education graduates is the incompatibility of interest in vocational education graduates with job vacancies. This study tries to offer a solution with a socio-technical system approach. This research is focused on obtaining digital platform design in seeing the suitability of job seekers’ interests with their personalities. In other words, it connects Goal - People - Technology. The development of this system is done using the Flutter framework. The results obtained are a digital psychology test platform design, which is also cross-platform, in accordance with the concept of socio-technical systems. This platform can be used to minimize the interests of vocational education graduates with jobs.

Mapping themes for the well-being of low-skilled gig workers: Implications for digital platform design

Platform-based work and corresponding business models are redefining the work landscape. The rapid growth in digital platforms has prospered since the start of the pandemic, enabling various service-based gig work tasks such as Amazon, Uber and Deliveroo. Currently, there is scant literature that examines the well-being of gig workers in the platform economy. In this article, we reflect on the well-being of one category of gig workers, low-skilled service-based gig workers. These workers are often migrants or transient workers who face barriers to enter the job market in a foreign country, need a job to generate an income for the family, often transition between jobs or wish to conduct flexible, temporary gigs afforded by many digital platforms. Informed by an overview of the literature and the International Labour Organization’s (ILO) definition of well-being, our study supports the notion that precarity leads to compromised worker well-being. As a consequence, we identify four themes for gig worker well-being that can be incorporated in the design of platforms to improve the well-being of low-skilled service-based workers: (1) regulatory aspects and contracts to protect the worker, (2) job-related appraisal and reward systems, (3) feeling connected in a work-related social network and (4) algorithmic control and organization of tasks and work. Our study opens discourse on digital platform worker well-being, suggesting improvements to digital platform design to support worker well-being for service-based gig workers and potentially all forms of gig work.

Adaptive Enterprise Architecture for the Digital Healthcare Industry: A Digital Platform for Drug Development

Enterprise architecture (EA) is useful for effectively structuring digital platforms with digital transformation in information societies. Moreover, digital platforms in the healthcare industry accelerate and increase the efficiency of drug discovery and development processes. However, there is the lack of knowledge concerning relationships between EA and digital platforms, in spite of the needs of it. In this paper, we investigated and analyzed the process of drug design and development within the healthcare industry, together with related work in using an enterprise architecture framework for the digital era named the Adaptive Integrated Digital Architecture Framework (AIDAF), specifically supporting the design of digital platforms there. Based on this analysis, we evaluate a method and propose a new reference architecture for promoting digital platforms in the healthcare industry, with future specific aspects of them making effective use of Artificial Intelligence (AI). The practical and theoretical contributions include: (1) Streamlined processes through digital platforms in organizations. (2) Informal knowledge supply and sharing among organizational members through digital platforms. (3) Efficiency and effectiveness in planning production and business for drug development. The findings indicate that EA with digital platforms using the AIDAF contribute to digital transformation with effectiveness for new drugs in the healthcare industry.

Technology Stack Selection Model for Software Design of Digital Platforms

The article is dedicated to the development of a mathematical model and methodology for evaluating the effectiveness of integrating information technology solutions into digital platforms using virtual simulation infrastructures. The task of selecting a stack of technologies is formulated as the task of selecting elements from sets of possible solutions. This allows us to develop a mathematically unified approach to evaluating the effectiveness of different solutions, such as choosing programming languages, choosing Database Management System (DBMS), choosing operating systems and data technologies, and choosing the frameworks used. Introduced technology compatibility operation and decomposition of the evaluation of the efficiency of the technology stack at the stages of the life cycle of the digital platform development allowed us to reduce the computational complexity of the formation of the technology stack. A methodology based on performance assessments for experimental research in a virtual software-configurable simulation environment has been proposed. The developed solution allows the evaluation of the performance of the digital platform before its final implementation, while reducing the cost of conducting an experiment to assess the characteristics of the digital platform. It is proposed to compare the characteristics of digital platform efficiency based on the use of fuzzy logic, providing the software developer with an intuitive tool to support decision-making on the inclusion of the solution in the technology stack.

Концепция цифровой платформы российского сельского хозяйства, обеспечивающая сходимость к целям

The aim of the work is to build a concept of a methodology for creating a national digital agricultural platform. The proposed approach ensures the optimal integration of various design methods in the context of multiple goals and ambitious strategic guidelines. The need to change the paradigm of the traditional direct design of digital platforms with a rigid order of implementation of the stages is shown. Reverse order of integration of the existing approaches is required with output to achieve such strategic goals that deny the possibility of an inertial design path. The stated strategic goals are much higher than the results that could be expected when extrapolating the existing dynamics of indicator values. Inverse decision-making processes are characterized by a non-stable nature of decisions, and, as a consequence, by a plurality of ways to achieve strategic goals. The methodology was built using the architectural approach, artificial intelligence (AI) methods, and the author›s convergent methodology. The latter is based primarily on methods for inverse problems solving on cognitive (conceptual) models and big data analysis to check the completeness and accuracy of the models. for example, by quantum and wave effects. This approach to the construction of the desired methodology made it possible to combine a number of methodological solutions from a wide range of alternatives and create an appropriate hybrid methodology that will provide an accelerated convergence to the outlined strategic goals of the development of the Russian agro-industrial complex.

Indigenous Authorship on Open and Digital Platforms: Social Justice Processes and Potential

Online digital platforms can increase access to educational opportunities for marginalised students, authors and communities, but digital platform design can further marginalise Indigenous knowledge because such platforms are structured according to western epistemological assumptions. They do not accommodate for Indigenous or alternative knowledge frameworks. In addition, the premium placed on openness by certain platforms and licenses contradicts the approaches preferred by Indigenous knowledge authorities who tie the sharing of some types of knowledge to the identity and authority level of the intended audience. Knowledge in this context is not understood as discrete units of information that can be abstracted from their communities, easily shared on public platforms, but rather as sensitive materials that can only be shared by recognized knowledge authorities for specific purposes. The processes by which Indigenous knowledge authorities engage with knowledge sharing on digital platforms comprise a complex landscape in which social justice concerns come into play. This paper discusses how, within institutional design contexts, open educational practice (OEP) by Northern Australian Indigenous authors can enable different forms of social justice and work incrementally towards achieving greater recognition of Indigenous intellectual sovereign acts with due respect to the wider significance of Indigenous Sovereignty (Rigney 2001). It examines three sets of Indigenous open resources to gauge the extent to which open digital platforms allow for the expression of Indigenous knowledge authority, one necessary feature for achieving social justice in the Australian context. It examines the resources using Fraser’s social justice framework (2005) as modelled by Hodgkinson-Williams and Trotters’ (2018) and Lambert’s (2018) approach to educational resources, and how design decisions can result in greater justice in knowledge affirmation and transformation but originate in offline decision making.