Towards a Cost-Benefit-Analysis of Data-Driven Business Models

The emergence of data-driven business models calls for their systematic design and evaluation. In this paper, we focus on a first step towards a Cost-Benefit-Analysis of data-driven business models. Within data-driven business models, data act as enabler for the development of innovative services. However, to justify internal funding of new services, an assessment of the financial impact for the service at hand is often required. We approach this by identifying drivers of cost and benefit based on the Service Business Model Canvases of twenty cases. Based on the results, all drivers and their associated models for quantification were consolidated into a single meta-model. With this, we provide a basis for the economic assessment of service ideas and their refinement during the design process

Taming the interoperability challenges of complex IoT systems

of communication protocols and data formats; hence ensuring diverse devices can interoperate with one another remains a significant challenge. Model-driven development and testing solutions have been proposed as methods to aid software developers achieve interoperability compliance in the face of this increasing complexity. However, current approaches often involve complicated and domain specific models (e.g. web services described by WSDL). In this paper, we explore a lightweight, middleware independent, model-driven development framework to help developers tame the challenges of composing IoT services that interoperate with one another. The framework is based upon two key contributions: i) patterns of interoperability behaviour, and ii) a software framework to monitor and reason about interoperability success or failure. We show using a case-study from the FI-WARE Future Internet Service domain that this interoperability framework can support non-expert developers address interoperability challenges. We also deployed tools built atop the framework and made them available in the XIFI large-scale FI-PPP test environment

Co-creating an Open Government Data Driven Public Service: The Case of Chicago’s Food Inspection Forecasting Model

Large amounts of Open Government Data (OGD) have become available and co-created public services have started to emerge, but there is only limited empirical material available on co-created OGD-driven public services. To address this shortcoming and explore the concept of co-created OGD-driven public services the authors conducted an exploratory case study. The case study explored Chicago’s use of OGD in the co-creation of a predictive analytics model that forecasts critical safety violations at food serving establishments. The results of this exploratory work allowed for new insights to be gained on co-created OGD-driven public services and led to the identification of six factors that seem to play a key role in allowing for a OGD-driven public service to be co-created. The results of the initial work also provide valuable new information that can be used to aid in the development and improvement of the authors’ conceptual model for understanding co-created OGD-driven public service

Data driven approaches for smart city planning and design: a case scenario on urban data management

Purpose Because of the use of digital technologies in smart cities, municipalities are increasingly facing issues related to urban data management and are seeking ways to exploit these huge amounts of data for the actualization of data driven services. However, only few studies discuss challenges related to data driven strategies in smart cities. Accordingly, the purpose of this study is to present data driven approaches (architecture and model), for urban data management needed to improve smart city planning and design. The developed approaches depict how data can underpin sustainable urban development. Design/methodology/approach Design science research is adopted following a qualitative method to evaluate the architecture developed based on top-level design using a case data from workshops and interviews with experts involved in a smart city project. Findings The findings of this study from the evaluations indicate that the identified enablers are useful to support data driven services in smart cities and the developed architecture can be used to promote urban data management. More importantly, findings from this study provide guidelines to municipalities to improve data driven services for smart city planning and design. Research limitations/implications Feedback as qualitative data from practitioners provided evidence on how data driven strategies can be achieved in smart cities. However, the model is not validated. Hence, quantitative data is needed to further validate the enablers that influence data driven services in smart city planning and design. Practical implications Findings from this study offer practical insights and real-life evidence to define data driven enablers in smart cities and suggest research propositions for future studies. Additionally, this study develops a real conceptualization of data driven method for municipalities to foster open data and digital service innovation for smart city development. Social implications The main findings of this study suggest that data governance, interoperability, data security and risk assessment influence data driven services in smart cities. This study derives propositions based on the developed model that identifies enablers for actualization of data driven services for smart cities planning and design. Originality/value This study explores the enablers of data driven strategies in smart city and further developed an architecture and model that can be adopted by municipalities to structure their urban data initiatives for improving data driven services to make cities smarter. The developed model supports municipalities to manage data used from different sources to support the design of data driven services provided by different enterprises that collaborate in urban environment.acceptedVersio

Customer-driven business information provision in Malaysian government agencies’ library / Noor Zaidi Sahid

Ascertaining the customer needs and wants as well as delivering the desired satisfaction effectively and efficiently are the best ways of serving customers. In these circumstances, the credibility of the government is easily measured by the efficiency of its service delivery. Public sector managers, therefore, are under pressure to satisfy various stakeholders to increase efficacy, effectiveness and quality services, as well as achieve organizational goals and establish a culture of continuous improvements. The research aims to explore in-depth situations o f a customer-driven business information is being approached from the social constructionist orientation as well as engaging the interpretivist research paradigm. The research is based on the multiple case studies that involved twelve (12) librarians from twelve (12) selected libraries of the government agencies. To enter the perspectives of the respondents explicitly, the semi-structured interview was chosen to collect descriptive data of respondents. Responses have been analyzed thematically as it is proven to be a clear, step-by-step approach and flexible. It can correspond with a critical realism that could lead the researcher to analyze the unstructured data. The data were analyzed manually as it is more rigorous and transparent, hence they are interpreted more confidently. The findings of the study have implications for the model, policy, and practices on how customer-driven concept can be adopted by libraries and other government agencies. The research results demonstrate that the libraries of the government agencies involved in the study practices the customer-driven concept in the process of information provision. In terms of information category, this research has found three main types of business information, which are public information, proprietary information, and controlled information. Each category has specific users and is accessed differently. The findings have also successfully unlocked the questions on how the user-oriented concept is developed. The research contribution includes the development of a Customer-Driven Business Information Provision model. This model has been drawn up according to the perspectives of the libraries of the government agencies in Malaysia, employing two dimensions, i.e. the design and management of a customer-driven service system and the fostering of good governance. This model elicited five (5) themes of design and management of a customer-driven service system involving customer identification, customer needs surveys, service system design, service delivery, and service recovery. In this comprehensive model, the best practices of the libraries of the government agencies are empirically examined and can be used as guidance to the information providers that wish to establish customer-driven products or services

Industry 4.0 Asset Administration Shell (AAS): Interoperable Skill-Based Service-Robots

This paper describes our use of Industry 4.0 Asset Administration Shells (AASs) in the context of service robots. We use AASs with software components of service robots and with complete service robot systems. The AAS for a software component serves as a standardized digital data sheet. It helps sysem builders at design time in finding and selecting software components that match system-level requirements of the systems to be built. The AAS for a system comprises a data sheet for the system and furthermore collects at runtime operational data and it allows for skill-level commanding of the service robot. AASs are generated and filled as part of our model-driven development and composition workflow for service robotics. AASs can serve as a key enabler for a standardized integration and interaction with service robots.Comment: Work-In-Progress, 5 pages, 7 figure

A micro level model for assessing community development towards improved wellbeing

Developments since the 20th century indicate that the wellbeing of communities makes for healthy national welfare in strong countries. Community wellbeing is thus a priority for policy makers and service providers. Conceptualization of a meaningful, holistic multidimensional measurement of community wellbeing at micro (community) level has been lacking. Such a concept and its measurement are essential when addressing social exclusion and development issues in the enhancement of community wellbeing is to produce worthwhile results. There is growing recognition that earlier understanding of community wellbeing failed to address development needs and processes at community level. Outsider stakeholder driven top-down one-dimensional community wellbeing (‘silo’) measurements did not address human development needs at community level. Meaningful measurement requires integrated frameworks addressing multidimensional issues conceptualizing wellbeing measurement at community level. Such measurement needs to be combined with the integrated inclusion of social capital influence through ‘insider-outsider’ partnerships. The research study purpose was to develop a community driven holistic, integrative wellbeing assessment model. This model could assist ‘insiders’ (community members) and ‘outsiders’ (policy makers, service providers and community development practitioners) in developing and implementing community driven initiatives towards improved wellbeing. The two main research questions were: 1) which macro level wellbeing assessment factors to consider in an aligned micro level wellbeing assessment? and 2) what is the associative relationship between wellbeing and social capital? Two descriptive sample surveys were conducted utilizing a structured questionnaire. Primary data findings contributed to finalization of a community level wellbeing assessment model. This model would enable estimation of the potential (push and pull) factors that influence the targeted success of suggested community development processes. The assessment model is community driven and owned, with spider and quadrant diagram graph tools indicating first the status of community wellbeing and social capital, then the associative relationships of wellbeing and social capital in ‘insider-outsider’ initiatives for wellbeing enhancement.Development StudiesD. Phil. (Development Studies