Urban Policies and Mobility Trends in Italian Smart Cities

This study uses indicators to evaluate the progress made by Italian cities in the smart mobility sector, in order to understand how these cities have approached the new guidelines imposed by the European Union, and how they have implemented the European changes. Specifically, this study analyses the evolution of public transportation systems, using a sample of twenty-two Italian cities for three successive time periods (2005, 2010, and 2015). The outcomes identified are then linked to funding provided for the implementation of projects related to smart mobility in the cities studied, in order to verify possible correlations between the growth of these services and European and national financial investments. The data analysis shows remarkable progress in the field of sustainable mobility, especially between 2010 and 2015 as well as how this progress is linked to significant financial support that favours the realization of projects related to smart mobilit

Urban Policies and Mobility Trends in Italian Smart Cities

This study uses indicators to evaluate the progress made by Italian cities in the smart mobility sector, in order to understand how these cities have approached the new guidelines imposed by the European Union, and how they have implemented the European changes. Specifically, this study analyses the evolution of public transportation systems, using a sample of twenty-two Italian cities for three successive time periods (2005, 2010, and 2015). The outcomes identified are then linked to funding provided for the implementation of projects related to smart mobility in the cities studied, in order to verify possible correlations between the growth of these services and European and national financial investments. The data analysis shows remarkable progress in the field of sustainable mobility, especially between 2010 and 2015 as well as how this progress is linked to significant financial support that favours the realization of projects related to smart mobilit

The relationship between financial support, non-financial attributes and entrepreneurial business performance: A case study on MARA SPiM loan scheme

This paper is aimed at examining the relationship between financial support, non-financial attributes, and entrepreneurial business performance.The paper studied on how advisory services, entrepreneurial skills/knowledge, entrepreneurial mindset entrepreneurial attitude play a significant role in influencing business performance (profitability, growth and assets).Using a quantitative approach, this study analyzed data from 96 respondents from the survey of 105 participants.All respondents are entrepreneurs who were loan takers of MARA-SPiM scheme which was approved from 2014 to 2015 from 10 districts in Perak State of Malaysia.The analysis was performed using SPSS and Smart-PLS statistical software.The findings established that financial services play a significant role in influencing entrepreneur's business performance.On the other hand, it was revealed that entrepreneurial attitude (one of the non-financial attributes) plays a significant role in influencing entrepreneur's business performance.This study also found that the arrangement of financial services and non-financial services are very important for entrepreneurs' business success in term of rising profitability, growing their business and increasing their assets.Besides that, advisory services, entrepreneur skill/knowledge, and entrepreneur mindset were unable to show any influence on entrepreneurs' business performance

Technological Change, Financial Innovation, and Financial Regulation: The Challenges for Public Policy

The two technologies that form the heart of the financial services industry—data processing and telecommunications—have experienced rapid improvement and innovation in the United States in the past few decades. In the heavily regulated financial services industry, technological innovation and improvement may pose significant problems and challenges, both for the industry itself and for the government regulators and public policy makers. In this paper, the author provides an overview of the interactions between financial innovation and regulation. The author first makes a distinction among types of financial services firms that is essential to an understanding of financial services regulation. Institutions such as banks and insurance companies that hold financial assets and issue liabilities are known as financial intermediaries. A company that extends trade credit to its customers acts as a lender and is therefore a financial intermediary. The second category of financial services firms comprises firms like stockbrokers and investment bankers who facilitate financial transactions between primary issuers of financial liabilities and the investors who purchase these instruments. These firms are known as financial facilitators. Although there are firms that act both as intermediaries and facilitators, the distinction is an important one in understanding the interaction between technological innovation and financial regulation in the U.S. The author next turns to an analysis of the four major underlying causes of the recent technological changes in financial services. First, data processing and telecommunications have become both more powerful and inexpensive, allowing improved data collection, risk assessment and wider geographical reach for products. Second, less restrictive and protectionist laws and regulations have paved the way for greater competition and allowed outside innovators to enter the financial services market. Third, the shift from a relatively stable to a risky economy beginning in the 1970s created a demand for futures and options that would protect investors from risk. Finally, as a reaction to a strict regulatory environment, financial institutions developed innovative ways to circumvent cumbersome regulations. One of these developments, for example, was the money market mutual fund. Recent easing of restrictions has also encouraged financial innovation. The author turns to a detailed discussion of financial regulation, explaining the distinctions between the three major categories of: 1) economic regulation; 2) health-safety-environment regulation and; 3) information regulation. He then covers the specifics of regulations affecting: 1) banking; 2) securities and related instruments; 3) insurance; 4) pension funds; 5) mortgage conduits and; 6) finance companies and leasing companies. He then reaches the following conclusions based on his evaluation of the environment within which financial regulation operates: 1) the widespread nature of financial regulation is not accidental; 2) of the three categories enumerated above, information regulation extends most widely across the financial sector; 3) safety regulation applies most directly and strongly to those financial intermediaries who have the most widespread liabilities and; 4) economic regulation applies most extensively to banks and other depositories. He next explores the interaction between innovation and regulation and concludes that regulation has both negative and positive effects on innovation, this determination particularly depending on the critic's perspective on the regulations. The main effects of innovation on regulation now and in the future should involve the following issues: 1) more federal centralization of regulation, and less state regulation; 2) more international markets for financial products; 3) greater efficiency of financial markets due to increased competition; 4) development of regulations for new financial instruments; 5) differential regulatory treatment of risky financial instruments and; 6) stored value cards and smart cards and other electronic based innovations; 7) new privacy policies resulting from increased gathering of personal information from electronics-based instruments; 8) increased flows of funds through EFT systems and; 9) new interactions between computer software and hardware as well as with outside institutions as financial services transactions depend more on electronics-based instruments. The author concludes that a major task of public policy must be to ensure that financial regulation does not stifle innovation while it responds appropriately to challenges posed. This paper was presented at the Financial Institutions Center's conference on Performance of Financial Institutions, May 8-10, 1997.

ENHANCING RURAL PUBLIC TRANSPORT ACCESSIBILITY THROUGH IMPLEMENTING A SMART SCAN-ON M-TICKETING SOLUTION: : A UNITED KINGDOM CASE STUDY APPROACH WITHIN RURAL DEREGULATED ENVIRONMENTS

Scott Copsey, Sue Walsh, Liam Fassam, Richard Southern, ‘Enhancing Rural Public Transport Accessibility Through Implementing a Smart Scan-on M Ticketing Solution: A United Kingdom Case Study Approach Within Rural Deregulated Environments’, paper presented at the European Transport Conference, Barcelona, Spain, 5-7 October, 2016.The aim of this paper is to demonstrate how two UK Local Authorities (Hertfordshire and Northamptonshire), the two Universities of Hertfordshire and Northampton and public transport providers have worked in partnership to develop a smart scan-on m-ticketing solution, that integrates into a wider ‘smart city’ solution delivering social good through connected value propositions. Based on the initial success of a Hertfordshire pilot, a specific objective of this work is to establish smart integrated multi-operator/modal solutions. This pilot is subsequently being collaboratively expanded upon, through the UK Department for Transport funded ‘Network Northamptonshire Total Transport’ initiative, a transformative project to improve connectivity, integration and accessibility for rural transport networks. This forms part of the recently signed ‘Heart of England’ economic tri-county alliance agreement, which aims to work collaboratively across three local authority regions (Buckinghamshire, Oxfordshire and Northamptonshire), consolidating £3bn of spending. This provides a further future platform for innovative transport solutions being rolled out across wider geographical areas. The initial Hertfordshire demonstrator pilot project explored how a ‘smart’ m-ticketing platform could provide a sustainable financial business model for implementing ticketing solutions for small and medium bus operators within rural Shires, outside of large urban settings. This unique project was the first scan-on bus mobile ticket product used in the UK (outside of London). It offers a partnership model and governance structure for local authorities, commercial operators and other stakeholders with an interest in integrated sustainable transport to take forward, and leads to the possibility of new, socially innovative models for procuring and delivering transport solutions. Initial user reactions have been positive, generating large digital data sets, analysis of which indicates rapid user uptake in comparison to other schemes. This data enables detailed analysis such as precise user geo-spatial distribution, supporting targeted marketing and route-specific promotions to encourage further service uptake. A critical success factor of the project was to target a reduction of on-bus cash handling by five per cent within the first 12 months. This would aid in reducing bus loading times, improve reliability and operator efficiencies. After an initial 16 month operational use, uptake growth in excess of 7 per cent of total revenue has been achieved, on specific routes the transfer to m-ticket has exceeded 12 per cent, with targets of 10 per cent of total cash to mobile conversion predicted by the middle of 2017, likely to be realised. The effectiveness of marketing campaigns, technical development aspects and implementation issues will be reported. These projects have a wider context. Public transport services in rural areas in England are deregulated, and have at present no effective statutory backing or ring-fenced funding. As a result, with reductions in funding to local authorities, funding for non-commercial bus services is being sharply reduced and many authorities are proposing to cease all funding for local bus services (Campaign for Better Transport, 2016). These projects may offer alternative cost-effective ways of providing local transport services in non-metropolitan areas, and thus provide the potential for unique future research opportunities. These include understanding the uptake of smart multi-modal solutions in rural areas to improve accessibility and connectivity through enhanced services for new users and for those with restricted or reduced mobility networks, whilst also offering efficiencies for operators. This research has added importance, because the UK Government is proposing legislation on bus services in England, which would confer significant extra powers on local authorities to intervene in the bus market in various ways. These projects may act as pathfinders for the use of these powers in non-metropolitan areas. Structures supporting a partnership approach involving all those with an interest in public transport are a critical part of improving rural connectivity and accessibility. Through the experience of establishing quality partnership models in Hertfordshire, this paper will go on to detail the subsequent work now underway developing a Social Enterprise model involving local government, universities, operators, health and education services in Northamptonshire, which will form the basis of the transformation of rural integrated sustainable transport delivery.Non peer reviewedSubmitted Versio

Pengaruh Analisa Teknikal, Analisa Fundamental, Analisa Bandarmology Terhadap Profit Investor (Studi Kasus Saham Jakarta Islamic index Sektor Properti dan Real Estate yang Terdaftar Di Bursa Efek Indonesia Tahun 2018-2020)

Abstract The current high inflation rate and low yields on banking products make people have to be smart in managing their finances so that the value of money does not shrink when spent. Investment instruments in stocks that already exist in the Financial Services Authority (OJK) regulations are an alternative choice for managing finances. This study is a quantitative study using secondary data in the form of technical analysis and bandarmological analysis obtained from the stock trading facility of one of the securities companies in Indonesia. Meanwhile, the stocks studied are JII (Jakarta Islamic Index) stocks for the 2018-2020 periode. Based on the research made, conducting technical analysis, fundamental analysis and bandarmology analysis simultaneously can provide higher  profits for stock investors than if doing technical analysis, fundamental analysis and partial bandarmological analysis.  Keywords: Technical Analysis, Fundamentals, Bandarmology, Investor  profi

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