How to Share Data Online (fast) – A Taxonomy of Data Sharing Business Models

Data is an integral part of almost every business. Sharing data enables new opportunities to generate value or enrich the existing data repository, opening up new potentials for optimization and business models. However, these opportunities are still untapped, as sharing data comes with many challenges. First and foremost, aspects such as trust in partners, transparency, and the desire for security are issues that need to be addressed. Only then can data sharing be used efficiently in business models. The paper addresses this issue and generates guidance for the data-sharing business model (DSBM) design in the form of a taxonomy. The taxonomy is built on the empirical analysis of 80 DSBMs. With this, the primary contributions are structuring the field of an emerging phenomenon and outlining design options for these types of business models

Critical Success Factors Influencing Adoption of Internet Technology by MSC & Non-MSC Companies

The Internet is transforming the way in which business strategies are formulated in the corporate world. Indeed, it is proving to be the most effective and influential strategic tool of the century by connecting thousands of companies and millions of people every minute. This paper highlights the salient factors influencing the adoption of Internet technology by MSC and 10n-MSC companies. Five organisational and two marketplace factors were used in this study. The final analysis confirmed that MSC and Non-MSC companies were influenced by six factors - perceived direct benefits, organisational compatibility, technical complexity, trading partner pressure, organisational support, and perceived direct benefits. All of the factors above except for technical complexity proved that Non-MSC companies were more affected by these factors than MSCn companies. Another factor, competitive pressure, was not an influential factor

Disruptive Power of Blockchain on the Insurance Industry

Kindlustus on olnud globaalse majanduse võtmekomponendiks oma lisatasude suuruse, investeerimismahtude ja ennekõike oma isikliku ja äririski katva sotsiaalse ja majandusliku rolli tõttu. Aastate jooksul on antud sektoris olnud püsiv reform, kuid sellele vaatamata on kindlustuse tööstusharu jäänud suuremalt jaolt samaks oma ärimudeli ja toimimise osas. Seda sektorit domineerivad vahendajad, kes mängivad võtmerolli kliendi vajaduste mõistmises ja viivad selle kokku kindlale sihtgrupile mõeldud kindlustustootega. PwC poolt tehtud uuring raportis „Kindlustus 2020: Muutuse pööramine võimaluseks“ [1] võtab arvesse sotsiaalsed, tehnoloogilised, keskkondlikud, majanduslikud ja poliitilised faktorid ning viitab sellele, et kindlustuse sektoril on vajadus muutuda agentuuripõhisest jaotusmudelist kasutusepõhiseks ärimudeliks. Antud uurimustöö uurib plokiahela tehnoloogiat ja selle häirivat mõju kindlustussektorile hinnates praegust äriprotsessi ja –mudelit ning seda, kuidas see tehnoloogia suudab antud mudeleid täiustada. Uurimustöö järeldusena pakutakse uut protsessi suunda kindlustuse tööstusharule rõhutades kliendile pakutavat parema väärtusega teenust, kus on kasutusel plokiahela tehnoloogia. Võtmesõnad: plokiahela tehnoloogia, kindlustuse äriprotsess, jaotatud peaarvetehnoloogiaThe insurance industry has been a key component of the global economy by the amount of premiums it generates, the scale of its investment and more fundamentally, the essential social and economic role it plays in covering personal and business risk. Over the years, there have been a growing reform in this sector but despite some of these reforms, the insurance industry has remained much the same in its business model and operations. The sector has been dominated by intermediaries who play the key role of understanding and matching the need of the customer with specific tailored insurance product. A research conducted by PwC in a report titled “Insurance 2020: Turning change into opportunity” [1], takes into account STEEP (Social, Technology, Environmental, Economic and Political) drivers all points to the need of the insurance sector to evolve from the agency- based distribution model to an usage based business model. This paper examines the blockchain technology and its disruptive power in the insurance sector by evaluating the current business process and model in the industry and how this technology can improve this model. This paper concludes by proposing a new process flow for the insurance industry placing emphasis on better values service to the customer using blockchain technology

Distributed Ledger Technology (DLT) Applications in Payment, Clearing, and Settlement Systems:A Study of Blockchain-Based Payment Barriers and Potential Solutions, and DLT Application in Central Bank Payment System Functions

Payment, clearing, and settlement systems are essential components of the financial markets and exert considerable influence on the overall economy. While there have been considerable technological advancements in payment systems, the conventional systems still depend on centralized architecture, with inherent limitations and risks. The emergence of Distributed ledger technology (DLT) is being regarded as a potential solution to transform payment and settlement processes and address certain challenges posed by the centralized architecture of traditional payment systems (Bank for International Settlements, 2017). While proof-of-concept projects have demonstrated the technical feasibility of DLT, significant barriers still hinder its adoption and implementation. The overarching objective of this thesis is to contribute to the developing area of DLT application in payment, clearing and settlement systems, which is still in its initial stages of applications development and lacks a substantial body of scholarly literature and empirical research. This is achieved by identifying the socio-technical barriers to adoption and diffusion of blockchain-based payment systems and the solutions proposed to address them. Furthermore, the thesis examines and classifies various applications of DLT in central bank payment system functions, offering valuable insights into the motivations, DLT platforms used, and consensus algorithms for applicable use cases. To achieve these objectives, the methodology employed involved a systematic literature review (SLR) of academic literature on blockchain-based payment systems. Furthermore, we utilized a thematic analysis approach to examine data collected from various sources regarding the use of DLT applications in central bank payment system functions, such as central bank white papers, industry reports, and policy documents. The study's findings on blockchain-based payment systems barriers and proposed solutions; challenge the prevailing emphasis on technological and regulatory barriers in the literature and industry discourse regarding the adoption and implementation of blockchain-based payment systems. It highlights the importance of considering the broader socio-technical context and identifying barriers across all five dimensions of the social technical framework, including technological, infrastructural, user practices/market, regulatory, and cultural dimensions. Furthermore, the research identified seven DLT applications in central bank payment system functions. These are grouped into three overarching themes: central banks' operational responsibilities in payment and settlement systems, issuance of central bank digital money, and regulatory oversight/supervisory functions, along with other ancillary functions. Each of these applications has unique motivations or value proposition, which is the underlying reason for utilizing in that particular use case

Modeling and Analysis of Complex Technology Adoption Decisions: An Investigation in the Domain of Mobile ICT

Mobile information and communication technologies (ICT) promise to significantly transform enterprises, their business processes and services, improve employee productivity, effectiveness, and efficiency, and create new competitive advantages and business agility. Despite the plethora of potential benefits, however, widespread enterprise adoption of mobile ICT has not been as extensive as initially anticipated. Drawing on the extant information systems, technology management, and organizational innovation literature, this dissertation investigates the salient drivers and inhibitors of emerging ICT adoption, in general, and mobile ICT in particular, and develops an integrative ICT adoption decision framework. From this synthesis we identify four broad elements that influence an enterprise s decision to adopt mobile ICT: (1) business value, (2) costs and economics, (3) strategic alignment, and (4) enterprise readiness. The latter decision element has received only little theoretical and practical attention. In order to fill this gap, this dissertation explored the concept of enterprise readiness in further detail and identified eight key dimensions and their associated assessment indicators. Using a two-stage expert study and experimental design approach, we empirically validated these dimensions and determined their relative importance. Results indicated that leadership readiness followed by technology, data and information, and resource readiness, contributed the most to enterprise readiness for mobile ICT. The results are implemented into a web-based readiness diagnostic tool (RDT) that enables decision makers to assess an enterprise s readiness for mobile ICT. The benefits of the RDT are multifold: first, it navigates the decision maker through the complex readiness assessment space; second, it identifies potential organizational deficiencies and provides a means to assess potential sources of risks associated with the adoption and implementation of mobile ICT; and third, it enables decision makers to benchmark their level of readiness against other organizations. The dissertation concludes by highlighting both theoretical and practical implications for emerging and mobile ICT adoption management and suggesting directions for future research.Ph.D.Committee Chair: Rouse, William; Committee Member: Cross, Steve; Committee Member: Cummins, Michael; Committee Member: DeMillo, Richard; Committee Member: Vengazhiyil, Rosha

An empirical investigation of factors affecting cloud computing adoption among SMEs in the North East of England

PhD ThesisThe growing adoption of cloud computing is changing the way business information systems are developed, scaled up, maintained and paid for. This not only applies to large organisations, but also increasingly to small and medium-sized businesses (SMEs). In particular, cloud computing promises to improve the reliability and scalability of IT systems, which allows SMEs to focus their limited resources on their core business and strategy. In the SME context, technology adoption and usage decisions are influenced by many factors. Despite the extensive literature, there is still limited research related to the factors which impact on SMEs' adoption of Information and Communication Technologies (ICT) innovations. By adopting the Technological, Organisational and Environmental (TOE) Model, this research project attempts to conceptualise cloud computing adoption and to enhance understanding of the range of factors affecting cloud computing adoption decision making in SMEs. This work utilises both qualitative and quantitative research methodologies to meet the research objectives. This study proposes a conceptual framework of SMEs' adoption of cloud computing. Before carrying out a survey to test this model, a preliminary empirical study involving 15 SMEs in the North east of England was conducted in order to specify the factors that can be included within the developed conceptual framework. Our pilot study findings were fed into the second stage of our empirical study involving 184 SMEs in the North East of England. Among the factors examined, relative advantage, uncertainty, innovativeness, and external computing support were found to have significant influence on whether SMEs adopted cloud computing. These findings have important implications and great value to the research community, managers and ICT providers, in terms of formulating better strategies for cloud computing adoption. The research model in this study can improve their understanding of why some SMEs choose to adopt cloud computing services, while seemingly similar ones facing similar market conditions do no

Hemmnisse in Entscheidungsprozessen - Entstehungsfaktoren, deren Messung und Bewertung: Systematisierung und Analyse theoretischer und empirischer Ergebnisse

Die vorliegende Ausgabe untersucht theoretische und empirische Ergebnisse zu Hemmnissen in Entscheidungsprozessen in Organisationen. Zu Beginn steht die Aufarbeitung der Theorie zum Hemmnisbegriff anhand folgender Forschungsfragen: Wie wird der Hemmnisbegriff definiert? Welche Wörter werden synonym verwendet? Wie entstehen Hemmnisse? Was gibt es für Methoden zur Messung und Bewertung von Hemmnissen? Ausgehend von diesen theoretischen Betrachtungen erfolgt eine Zusammenschau von 104 empirischen Studien zu Hemmnissen in Entscheidungsprozessen unter der Fragestellung: Was gibt es für empirische Studien zu diesem Thema? Wie unterschieden sich diese bzw. wie lassen sie sich charakterisieren und systematisieren? Dabei werden der Hintergrund der Studien (Land, Branche, Ent-scheidungsprozess, Befragte), ihre Methodik, die Methodik der Hemmnisanalyse, der Hemmnisbegriff und die Entstehungsfaktoren betrachtet. Zur Systematisierung der Studien werden Gruppierungsansätze nach einzelnen Merkmalen (Veröffentlichungsjahrzehnt, Kontinent, Entwicklungsniveau des untersuchten Landes, Branche, Entscheidungsprozess, Studienmethodik) und eine Clusteranalyse über 49 Variablen durchgeführt. Die Gruppierungsansätze werden mittels ihrer Aussagekraft zum Entscheidungsprozess, zur Hemmnismethodik und zu den Entstehungsfaktoren von Hemmnissen beurteilt. Die Aufschlüsselung nach Entscheidungsprozessen erscheint als empfehlenswert. Die Ergebnisse der Clusteranalyse lassen darauf schließen, dass sich die Studien relativ ähnlich sind. Zusammenfassend gibt es keine allgemeingültige First-Best-Lösung zur Systematisierung der Studien. Die Gruppierungsansätze bewegen sich im Spannungsdreieck, möglichst von der Größe her vergleichbare aber vom Inhalt her unterscheidbare Studiengruppen zu bilden und dabei alle Studien in die Gruppierung einzubeziehen. Der zu wählende Gruppierungsansatz ist davon abhängig, welche Forschungsfragen im Vordergrund der jeweiligen Untersuchung stehen

Smart Service Innovation: Organization, Design, and Assessment

Background: The emergence of technologies such as the Internet of Things, big data, cloud computing, and wireless communication drives the digital transformation of the entire society. Organizations can exploit these potentials by offering new data-driven services with innovative value propositions, such as carsharing, remote equipment maintenance, and energy management services. These services result from value co-creation enabled by smart service systems, which are configurations of people, processes, and digital technologies. However, developing such systems was found to be challenging in practice. This is mainly due to the difficulties of managing complexity and uncertainty in the innovation process, as contributions of various actors from multiple disciplines must be coordinated. Previous research in service innovation and service systems engineering (SSE) has not shed sufficient light on the specifics of smart services, while research on smart service systems lacks empirical grounding. Purpose: This thesis aims to advance the understanding of the systematic development of smart services in multi-actor settings by investigating how smart service innovation (SSI) is conducted in practice, particularly regarding the participating actors, roles they assume, and methods they apply for designing smart service systems. Furthermore, the existing set of methods is extended by new methods for the design-integrated assessment of smart services and service business models. Approach: Empirical and design science methods were combined to address the research questions. To explore how SSI is conducted in practice, 25 interviews with experts from 13 organizations were conducted in two rounds. Building on service-dominant logic (SDL) as a theoretical foundation and a multi-level framework for SSI, the involvement of actors, their activities, employed means, and experienced challenges were collected. Additionally, a case study was used to evaluate the suitability of the Lifecycle Modelling Language to describe smart service systems. Design science methods were applied to determine a useful combination of service design methods and to build meta-models and tools for assessing smart services. They were evaluated using experiments and the talk aloud method. Results: On the macro-level, service ecosystems consist of various actors that conduct service innovation through the reconfiguration of resources. Collaboration of these actors is facilitated on the meso-level within a project. The structure and dynamics of project configurations can be described through a set of roles, innovation patterns, and ecosystem states. Four main activities have been identified, which actors perform to reduce uncertainty in the project. To guide their work, actors apply a variety of means from different disciplines to develop and document work products. The approach of design-integrated business model assessment is enabled through a meta-model that links qualitative aspects of service architectures and business models with quantitative assessment information. The evaluation of two tool prototypes showed the feasibility and benefit of this approach. Originality / Value: The results reported in this thesis advance the understanding of smart service innovation. They contribute to evidence-based knowledge on service systems engineering and its embedding in service ecosystems. Specifically, the consideration of actors, roles, activities, and methods can enhance existing reference process models. Furthermore, the support of activities in such processes through suitable methods can stimulate discussions on how methods from different disciplines can be applied and combined for developing the various aspects of smart service systems. The underlying results help practitioners to better organize and conduct SSI projects. As potential roles in a service ecosystem depend on organizational capabilities, the presented results can support the analysis of ex¬ternal dependencies and develop strategies for building up internal competencies.:Abstract iii Content Overview iv List of Abbreviations viii List of Tables x List of Figures xii PART A - SYNOPSIS 1 1 Introduction 2 1.1 Motivation 2 1.2 Research Objectives and Research Questions 4 1.3 Thesis Structure 6 2 Research Background 7 2.1 Smart Service Systems 7 2.2 Service-Dominant Logic 8 2.3 Service Innovation in Ecosystems 11 2.4 Systematic Development of Smart Service Systems 13 3 Research Approach 21 3.1 Research Strategy 21 3.2 Applied Research Methods 22 4 Summary of Findings 26 4.1 Overview of Research Results 26 4.2 Organizational Setup of Multi-Actor Smart Service Innovation 27 4.3 Conducting Smart Service Innovation Projects 32 4.4 Approaches for the Design-integrated Assessment of Smart Services 39 5 Discussion 44 5.1 Contributions 44 5.2 Limitations 46 5.3 Managerial Implications 47 5.4 Directions for Future Research 48 6 Conclusion 54 References 55 PART B - PUBLICATIONS 68 7 It Takes More than Two to Tango: Identifying Roles and Patterns in Multi-Actor Smart Service Innovation 69 7.1 Introduction 69 7.2 Research Background 72 7.3 Methodology 76 7.4 Results 79 7.5 Discussion 90 7.6 Conclusions and Outlook 96 7.7 References 97 8 Iterative Uncertainty Reduction in Multi-Actor Smart Service Innovation 100 8.1 Introduction 100 8.2 Research Background 103 8.3 Research Approach 109 8.4 Findings 113 8.5 Discussion 127 8.6 Conclusions and Outlook 131 8.7 References 133 9 How to Tame the Tiger – Exploring the Means, Ends, and Challenges in Smart Service Systems Engineering 139 9.1 Introduction 139 9.2 Research Background 140 9.3 Methodology 143 9.4 Results 145 9.5 Discussion and Conclusions 151 9.6 References 153 10 Combining Methods for the Design of Digital Services in Practice: Experiences from a Predictive Costing Service 156 10.1 Introduction 156 10.2 Conceptual Foundation 157 10.3 Preparing the Action Design Research Project 158 10.4 Application and Evaluation of Methods 160 10.5 Discussion and Formalization of Learning 167 10.6 Conclusion 169 10.7 References 170 11 Modelling of a Smart Service for Consumables Replenishment: A Life Cycle Perspective 171 11.1 Introduction 171 11.2 Life Cycles of Smart Services 173 11.3 Case Study 178 11.4 Discussion of the Modelling Approach 185 11.5 Conclusion and Outlook 187 11.6 References 188 12 Design-integrated Financial Assessment of Smart Services 192 12.1 Introduction 192 12.2 Problem Analysis 195 12.3 Meta-Model Design 200 12.4 Application of the Meta-Model in a Tool Prototype 204 12.5 Evaluation 206 12.6 Discussion 208 12.7 Conclusions 209 12.8 References 211 13 Towards a Cost-Benefit-Analysis of Data-Driven Business Models 215 13.1 Introduction 215 13.2 Conceptual Foundation 216 13.3 Methodology 218 13.4 Case Analysis 220 13.5 A Cost-Benefit-Analysis Model for DDBM 222 13.6 Conclusion and Outlook 225 13.7 References 226 14 Enabling Design-integrated Assessment of Service Business Models Through Factor Refinement 228 14.1 Introduction 228 14.2 Related Work 229 14.3 Research Goal and Method 230 14.4 Solution Design 231 14.5 Demonstration 234 14.6 Discussion 235 14.7 Conclusion 236 14.8 References 23