562 research outputs found
Digital transformation and disruption: threat or opportunity for the traditional insurance incumbents?
Digital technology often destroys value. What happens is, for some companies to become market winners and for
others, digital technology turns to be the reason of their failure. There is one clear winner coming out from this
battle: consumers.
Traditional insurance business model seemed resilient from digital technology. However, this resilience is not
lasting forever. Actually, it is now starting to collapse. Digital is transforming the way products and services are
served to the customers and also the underlying business models. Big data and analytics, Internet of Things (IoT),
Automated Driver Assistance Systems (ADAS) are just some of the forces analyzed in this research that are
disrupting the traditional insurance market and that are slowly shaping a new competition landscape with the
emergence of Ecosystems. This new market situation can turn to be a great opportunity for some insurance company,
but as it will be explained in this thesis, the success will not be evenly shared. What will make the difference is the
speed and decisive motivation at which incumbents will embrace and actuate the change
Gaining a competitive advantage through data analytics and business intelligence
The banking industry is at the brink of a digital revolution with start-up companies pushing technology into this sector. This paper aims to research exact methods that Fintech use to disrupt the field and explain how established Banks could make an impact by implementing the min to daily business. To give clear recommendations on trending techniques, a quantitative study was conducted with a preceding quantitative research stating the importance of the matter. The results are clear, with Artificial intelligence being, by far the most common, state of the art technique used to disrupt the way people use and perceive banking
Dynamic capabilities for firm performance under the information technology governance framework
This study investigates the role of dynamic capabilities in the Information Technology (IT) governance view framework, and explores the relationship between three IT governance domains (Strategy, Management and Operations) and firm performance. It employs a mixed-methods approach with 42 interviews and survey from 134 successful European SMEs in the multi-country setting of Belgium, Bulgaria, Denmark, Spain and the UK. Our findings demonstrate that various IT governance mechanisms function as dynamic capabilities and are directly associated with firm performance. The impact of each mechanism is different. This study contributes to the field of IT Governance Framework in management and the results may be generalizable to wider economies and different organization types
UniCraft: Exploring the impact of asynchronous multiplayer game elements in gamification
This paper describes the development and evaluation of UniCraft: a gamified mobile app designed to increase the engagement of undergraduate students with the content and delivery of their course. Gamification projects rely on extrinsic motivators to encourage participants to engage, such as compulsory participation or real-world rewards. UniCraft incorporates an asynchronous multiplayer battle game that uses constructive competition to motivate students, without using motivational levers that may reduce intrinsic motivation. The novel battle game employed by UniCraft employs Player vs Environment (Shafer, 2012) and Player Matching (Jennings, 2014) to ensure students work together in similarly ranked small groups as a team against a shared enemy. A study was undertaken which examined students' long-term engagement with UniCraft within the context of a 12-week long undergraduate programming course. The app was initially provided with the battle feature disabled, so that the effect on motivation and engagement could be studied when it was introduced during the intervention. Detailed interaction data recorded by the app was augmented by semi-structured interviews in order to provide a richer perspective on its effect at an individual and group level. The interaction data revealed convincing evidence for the increased motivational power of the battle feature, and this was supported by the interview data. Although no direct negative effects of competition were observed, interviews revealed that cheating was prevalent and this could in turn have unintended negative side-effects on motivation. Full results are presented and case studies are described for three of the participants, giving an insight into the different styles of interaction and motivation experienced by students in this study
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
IoT-based control and monitoring system of a solar-powered brushless dc motor for agro-machines – the case of a Tanzanian-made oil press machine
A Dissertation Submitted in Partial Fulfilment of the Requirements for the Degree of Master of Science in Embedded and Mobile Systems of the Nelson Mandela African Institution of Science and TechnologyThe impulse in designing local agricultural machinery for curbing post-harvest losses in most
African countries particularly Tanzania is unmatched. Locally made agricultural machines have
proven to elevate the life of many small-scale farmers, which has increased the need to incorporate
machine drives and controls to ease the process and operations. With potentials in Solar Energy,
powering machine drive systems that operate in off-grid areas has been the best solution. Using the
principles of Internet of Things (IoT) together with advancement in motor designs and readily
available off the shelf microcontrollers such as the Raspberry Pi and Arduino UNO in the market,
we achieve machinery that caters for our needs and the local content. Mobile apps play a huge role
in industrialization where monitoring and even controls of machines can be performed by the
mobile phones. This project incorporated Agile-Scrum methods to develop a control and monitoring
system for a locally made avocado oil extraction machine that is powered by a solar system with
1600W panel arrays and 800Ah battery pack, and uses a Brushless Direct Current Motor coupled
with electric solenoid valve, relay modules and a controller unit assisting on the control process and
collecting crucial motor operation data such as voltage and current. The designed Mobile app ‘Blue’
acquire motor operation data from the Raspberry Pi via Bluetooth technology, delivering data to
cloud server for later analysis. Easing data acquisition in off grid areas when engineers, technicians
or operators have a physical access to the stations. It was concluded that this novel design would
provide an effective control and monitoring mechanism with an acceptance on reliability, usability
and effectiveness of up to 85.65% for a plethora of locally-made machinery that available in the
market which still uses the manual means of operation emphasizing ease of use and productivity,
thence joining hands with the global world on attaining some of the Sustainable Development
Goals
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