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Enterprises are increasingly taking actionable steps to transform existing business models through digital technologies for service transformation such as big data analytics (BDA). BDA capabilities offer financial institutions to source financial data, analyse data, insight and store such data and information on collaborative platforms for a quick decision-making process. Accordingly, this study identifies how BDA capabilities can be deployed to provide significant improvement for financial services agility.

The study relied on survey data from 485 banking professionals' perspectives with BDA usage, IT capability development and financial service agility. The PLS-SEM technique was used to evaluate the underlying relationship and the applicability of the research framework proposed.

Based on the empirical test from this study, distinctive BDA usage grounded on the concept of IT capability viewpoint proof that financial service agility could be enhanced provided enterprises develop technical capabilities alongside other relevant resources.

The study further highlights the need for financial service managers to identify BDA technologies such as data mining, query and reporting, data visualisation, predictive modelling, streaming analytics, video analytics and voice analytics to focus on financial knowledge gathering and market observation. Financial managers can also deploy BDA tools to develop a strategic road map for data management, data transferability and knowledge discovery for customised financial products.

This study is a useful contribution to the burgeoning discussion with emerging technologies such as BDA implication to improving enterprises operations.

This chapter examines three common fintech use cases transforming the financial industry. First, the chapter introduces fintech's role in enhancing financial services and promoting financial inclusion, especially through digital platforms. Second, it investigates various fintech applications that support financial institution management by harnessing the power of artificial intelligence (AI) and machine learning (ML). Finally, the chapter explores fintech use cases related to the regulatory environment, including regulatory technology (regtech), blockchain technology, and cryptocurrencies. The insights presented in this chapter cater to researchers and practitioners keen on better understanding fintech's diverse applications in the ever-evolving financial industry landscape.

The challenges of the growth of the sharing economy are becoming more and more noticeable and urgent, especially concerning labor relations (e.g. uberization). The purpose of this paper is to understand what app-based drivers think of working conditions and labor relations.

The research was carried out in three stages: bibliographical and documental research, and two empirical research, a quantitative one with the application of a questionnaire in a sample of 54 respondents and another qualitative one using an interview script with ten drivers. For data analysis, the abductive method and the content analysis technique were used.

The results reveal they have an exhausting labor routine, by checking that they work more hours per week than those who have a formal job. They are driven mainly by the extra income and flexibility that digital platforms of the sector of shared private transportation can offer, although the costs intrinsic to the activity often affect their revenues significantly.

The number of answers from women was very small, which hinders the analysis of the potential specificities of women app-based drivers. Future studies could focus on this public for a more precise analysis, to bring the discussion on gender to the working context of app-based drivers.

The authors’ intention with the research reports was to make them relevant, leading to effective policies concerning working conditions and labor relations in the sharing economy, and to stimulate other surveys to understand the activity of an app-based driver of shared private transportation.

The authors’ research and this article contribute to the discussion on new work relationships, motivations and (dis)satisfaction with the activity, from the perspective of app-based drivers.

Presently, existing electric car sharing platforms are based on a centralized architecture which are faced with inadequate trust and pricing issues as these platforms requires an intermediary to maintain users’ data and handle transactions between participants. Therefore, this article aims to develop a decentralized peer-to-peer electric car sharing prototype framework that offers trustable and cost transparency.

This study employs a systematic review and data were collected from the literature and existing technical report documents after which content analysis is carried out to identify current problems and state-of-the-art electric car sharing. A use case scenario was then presented to preliminarily validate and show how the developed prototype framework addresses the trust-lessness in electric car sharing via distributed ledger technologies (DLTs).

Findings from this study present a use case scenario that depicts how businesses can design and implement a distributed peer-to-peer electric car sharing platforms based on IOTA technology, smart contracts and IOTA eWallet. Main findings from this study unlock the tremendous potential of DLT to foster sustainable road transportation. By employing a token-based approach this study enables electric car sharing that promotes sustainable road transportation.

Practically the developed decentralized prototype framework provides improved cost transparency and fairness guarantees as it is not based on a centralized price management system. The DLT based decentralized prototype framework aids to orchestrate the incentivize monetization and rewarding mechanisms among participants that share their electric cars enabling them to collaborate towards lessening CO₂ emissions.

The findings advocate that electric vehicle sharing has become an essential component of sustainable road transportation by increasing electric car utilization and decreasing the number of vehicles on the road.

The key novelty of the article is introducing a decentralized prototype framework to be employed to develop an electric car sharing solution without a central control or governance, which improves cost transparency. As compared to prior centralized platforms, the prototype framework employs IOTA technology smart contracts and IOTA eWallet to improve mobility related services.

Food waste is one of the most challenging issues humanity is currently facing. Therefore, there has been a growing interest in the prevention of food waste because of world hunger, environmental impacts, resource scarcity and economic costs. The purpose of the study is to investigate the factors that influence food waste and the role of technology in tackling food waste in India and the Netherlands.

In order to explore differences in food loss and waste further this study will examine a number of practices on both the production and the consumer side, in a developing country and a developed country with different culture/economic backgrounds: India and the Netherlands. The factors that influence food waste were examined with a preliminary qualitative study, which consists of semi-structured interviews, and quantitative research that comprises a survey. Semi-structured interviews were conducted in both India and the Netherlands, which consists of five interviews. The survey data was collected from 78 individuals from India and 115 individuals from the Netherlands.

One of the main findings of the research is food waste is divided into waste within agricultural production (i.e. food loss) and final household consumption (i.e. food waste). Different factors influence food loss in different stages in the supply chain. Some of these factors include wastage during processing, storage, transportation and at the market-place. New technologies can utilize food loss for new purposes, so food loss is reduced to the minimum. Food waste is mainly influenced by food passing expiry date, food that is left too long in the fridge and consumers buying too much food. In final household consumption, technologies such as digital platforms enable individuals or organizations to share and donate their food, thereby creating awareness on food waste prevention and the environmental and ethical benefits.

The authors examine to what extent and in which ways supporting consumers to minimize food waste can be achieved via three stages: (1) understanding and evaluating food loss and waste, (2) identifying the factors that influence food loss and waste, (3) understanding consumer behaviors to encourage food waste reduction and (4) identifying the technological impact that would reduce food waste. As such, this paper contributes to ongoing debates about food waste by looking at the role of context and culture and by exploring differences between developed and developing countries. Also, the authors advance the debate by exploring both the role of advanced technology such as blockchain and drones in both preventing loss and waste as well as non-technological mechanisms.

The paper presents a research methodology that could be used to carry out a systematic literature review on the current state of the art of the technological development in the field of the digitalization and unphysicalization of supply chains (SCs). A three-dimensional conceptual framework focusing on the relationship between Digital Technologies (DTs), business processes and SC performance is presented. The study identifies the emerging practices and areas of SC management that could be positively affected by the implementation of DTs. With this in mind, the emerging practices have a high probability to be considered future best practices.

A systematic literature review was conducted on DTs in SC management. The methodology used aims to algorithmically and objectively standardize the information incorporated into thousands of scientific documents. Selected papers were analyzed to investigate the recent literature on SC digitalization and unphysicalization. A total of 87 DTs were selected to be analyzed and subsequently grouped into 11 macro-categories. 17 business processes linked to SC management are taken into account and 17 different impacts on SC management are presented. From a set of 1,585 papers, 5,060 emerging practices were collected and singularly summarized combining DT, business process and impact on SC performance.

A unique analytical perspective provided represents an important evolution when trying to organize the current literature on SC management. The widely used DTs in the practices and the most considered business processes and impacts are highlighted and described. The three-dimensional conceptual framework is graphically represented to allow for the emergence of the best combinations of DT, business process and impact on SC performance. These combinations suggest the most promising areas for the implementation of the emerging practices for SC digitalization and unphysicalization. Additional findings identify and define the most important contexts in which Big Data contributes to SC performance.

The research methodology used is offering progress through which to systemize the current practices as well as detect the potential of digitalization and unphysicalization under the three-dimensional conceptual framework. The paper provides a structured proposal for promising future research directions, assuming that the five research gaps as findings of this research could be the basis for prescriptions, as well as a future research agenda and theory development. Moreover, this research contributes to current managerial issues concerning SC management, referred to data and information management, efficiency and productivity of SC processes, market performance, SC relationship management and risk management in SC.

The purpose of this study is to discuss the role of central bank digital currency (CBDC), Fintech and cryptocurrency for financial inclusion and financial stability.

This study used critical discourse analysis to identify the benefits and risks of CBDC, Fintech and cryptocurrency for financial inclusion and financial stability.

Fintech, CBDC and cryptocurrency can increase financial inclusion by providing an alternative channel through which unbanked adults can access formal financial services. CBDC and Fintech services have the potential to preserve financial stability, while cryptocurrency presents financial stability risks that can be mitigated through effective regulation. This paper also identified some problems of CBDC, Fintech and cryptocurrency for financial inclusion and financial stability. This paper offered some insight about the future of financial inclusion and the future of financial stability.

Although CBDC, Fintech or cryptocurrency can extend financial services to unbanked adults and offer cost-efficient advantages, there are risk considerations that need to be taken into account when using CBDC, Fintech and cryptocurrency to increase financial inclusion and to preserve financial stability.

The literature has not identified the combined role of CBDC, Fintech and cryptocurrency for financial inclusion and financial stability. To the best of the author’s knowledge, this paper is the first paper to assess the combined role of CBDC, Fintech and cryptocurrency for financial inclusion and financial stability.

The use of cutting-edge technology in education has the potential to transform the learning experience and greatly contribute to the achievement of the Sustainable Development Goals (SDGs) in emerging economies. With the increased accessibility of technology and online resources, digital literacy has become an essential skill in today's world. Smart e-learning platforms have emerged as a new tool for offering education and training in emerging economies, while also boosting digital literacy.

This chapter will attempt to investigate the impact of new-age technologies on the educational system and how they can help emerging economies achieve the SDGs. This study looks at case studies from various emerging economies, analyzing how innovative technologies like digital learning, smart teaching and learning, mobile learning, online learning, artificial intelligence (AI), virtual reality, and gamification are used to improve education quality and promote SDGs. This chapter emphasizes the impact of technological integration on access to education, reducing inequality, and improving educational quality and relevance. This study also looks into how education may help promote environmental sustainability and economic growth. According to the findings, integrating new-age technologies into the education system can be a game changer in achieving SDGs in emerging nations.

In this work, we study the investment processes in the digital economy, which includes determining the specifics of foreign direct investments (FDIs) under the conditions of digital technologies' development and substantiating the key directions and tendencies of investing from the positions of strategies of business integration and digital technologies' development.

This research is based on the multidisciplinary approach, which covers strategic management, investing, the theory of digital economy etc. The chapter combines the theoretical developments of these disciplines and presents them in the context of substantiation of the processes of using foreign direct investments as the tools of the business integration strategy. The proposed methodology allows generalising the view of the studied processes from the position of the digital economy, determining its structure; describing the key directions of development and investing; establishing the specifics of the use of FDI by transnational corporations; substantiating important directions for further processes.

It is revealed that foreign direct investments are not only the important factors in economic systems' development but also the effective tools for the integration of international business through the common use of the potential of parent and subsidiary companies for the reduction of transaction costs, an increase of profit etc. It is substantiated that the character of direct investing in the digital economy is different from the similar processes in the industrial system due to the non-material character of assets and their connection to the Internet. Based on this, implementing the investment strategy in the digital economy, transnational corporations offer access to technologies, ensure technological modernisation and facilitate the achievement of other indirect effects, which are less aimed at the increase in material assets. These processes lead to a change in the balance of revenues compared to the cost of material assets that are invested in the receiving market or subsidiary company. The indicator of such a ratio is the indicator ‘FDI lightness’. A high value of this indicator is a sign of the large perspectives of a company in the sphere of international activities.

The specifics of FDI in the digital economy are determined, the key directions of such activities are described, and the peculiarities and differences of investing in the digital economy are shown.