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This paper aims to explore the sharing economy in Italy, focusing on key socioeconomic characteristics.

Adopting an exploratory approach, it analyzes the answers of a questionnaire, created using Google Forms and administered via social networks and e-mails. To analyze the answers statistical tests and descriptive statistics were used. The survey reveals potential behavioral factors, which influence the participation propensity to share economic practices.

Results exhibit that the age of the consumer is an impactful participating factor of sharing economy, and therefore, it seems to be a discriminant. On the contrary, gender and annual income are insignificant determinants.

The sample is unbalanced, the majority of the answers were provided by young people.

The paper can give a picture of the role and the importance of the sharing economy in Italy. Motivated by its global economic growth that could reach in 2025 the value of €570bn, it contextualizes what drives people to collaborate and share tangible and intangible assets.

It aims to discover how this digital trend shapes the social fabric of the global economy, providing a broader reflection in terms of future sustainability developments. Ongoing dynamic changes on digital consumer preferences toward sharing products and services provide valuable evidence on their future commercial behavior.

Organizations are consistently seeking innovative strategies and novel pathways to enhance business processes and create differentiation. The global business ecosystem is changing and there is growing demand for multi-modal digital technologies, big data consolidation and data analytics to harness a cost-competitive agile system. Technological convergence and integration of digital systems is one of the preferred methodologies that facilitates new and effective workflows and revives business processes. The progressive interlinking of digital technologies with business operations leads to the convergence and blending of management disciplines, devices and applications. The growing inconsistencies in managerial understanding regarding the benefits of convergence prompts a comprehensive examination of digital convergence pathways, identifying the impacts on converging entities and business objectives. The State bank of India (SBI) mega-merger case study was selected to investigate the pragmatic framework of digital convergence and to understand the impacts on interlinked entities such as: business operations, strategic management, project team that support value creation and competitive differentiation. The purpose of this paper is to focus on the phenomena of techno-fusion of emerging technologies creating new opportunities, business models and unique strategies for global banking and financial service organizations.

This study applies the qualitative, inductive research method using critical reflection of before and after the implementation of convergence and digital integration strategies. The SBI case study employs this research strategy based on the premise that banks must stay agile and highly responsive to the changing environment to enhance its value proposition and competitive differentiation objectives. The study methodology incorporates cooperative inquiry and multiple levels of analysis using data collection techniques of exhaustive review of archives, informal interviews, questionnaires and observations to identify the synergistic process improvement pathway. The study is grounded on the concept that the convergence of diverse business pathways involves innovative and interlinked project, strategic and information technology (IT) workflows that results in open innovative systems.

The studies identify that organizational innovation and creative solutions are a result of ecosystem turbulence, environmental force diversity, competitive pressure and the need for differentiation. Organizations that harness the power of digital fusion and convergence of management, systems and data generate a competitive advantage. The technological convergence strategy pulls multiple business and technology processes (project, strategic, IT, Cloud, AI and business process management) at the organizational, divisional or functional level generating new opportunities and threats, new business models and unique growth strategies for global banking and financial services organizations. Organizations that fully integrate techno-fusion of business and digital strategies produce synergistic effects and enhance adaptability, innovation and resiliency in the face of competitive challenges.

Additional areas that can be explored further as an extension of this study are listed below: identifying factors to improve the speed of convergence; the current results are limited to large size organizations where formal management and technology functions are distinctive. Similar studies on smaller organizations are warranted.

This study focuses on the evolving field of technology innovation, which is increasingly being intertwined with business operations. Innovative digital technology is enabling the convergence of the disciplines of management, digital devices and applications. This facilitates the creation of a pragmatic framework that supports convergence of business operations, strategic management and digital fusion which leads to value creation and competitive differentiation. The techno-fusion of emerging technologies and digital strategies generates new opportunities and threats, new business models and unique growth strategies for organizations.

The rise of the digital economy has led to a focus on how to manage big data and business intelligence for entrepreneurial purposes. The aim of this chapter is to discuss how to plan for open innovative ecosystems that harness the potential of new data analytics techniques in order to progress society. This means concentrating on the increasingly complex world of data analytics in order to derive information about potential entrepreneurial opportunities. The role of knowledge management in influencing an open innovation ecosystem predicated on big data and computing acumen is stated. This helps to understand how the future of the global economy relies on an open data policy that encourages the sharing and dissemination of information. Implications for managers are also suggested that emphasize the role of innovation ecosystems, data and government.

Traditional industry was initially built with kinship, cultural value, and unique characters representing a particular system of production. However, current industry challenges pressurized traditional industry bond of primordial system with the need of adaptations to survive. Some traditional industry may resist the twenty-first-century challenges and pressures, but many of them are transforming their cultural and production characters to adapt modern business competitions. Indonesian traditional furniture industry Jepara has their familial system of productions which constitute “flexible specialization” where particular kinship and work contract created from a very specialized household small-scale furniture producer. However, this production system in fact struggles and is contrasted with the community needs to survive in the industry. The likely occurring progress of traditional industry are then remaining on the senior members of the industry to preserve knowledge which has empowered over many generations, while the younger generations consider transforming their ability for survivability and better financial rewards.

This chapter is the further elaboration of how Indonesian rural traditional furniture industry in Jepara presents its survivability and whether it is sustainable. This chapter exemplifies participants’ quotes and statements which create anxiety toward their future, cultural value, bond of industry kinship, and doubting their ability to withhold global and local pressures.

Technology has changed the future of money. The need to foster innovation in banking has been instigated by a shift from traditional finance provided by incumbents to fintech companies, such as challenger banks and decentralized platforms, offering new forms of money and payments services. The Bank of England has responded to this shift with the exploration of a Central Bank Digital Currency (CBDC), which in its retail form, would give the public the opportunity for the first time to directly hold state central bank money. This CBDC proposal emerges in a landscape where private money such as cryptocurrencies are increasing in capacity of coins and in trading volume; in a crypto economy with an expanding market capital. This competition opens the possibilities to reform banking to adapt to new payments platforms such as blockchains with advanced features such as smart contracts. The proposed design of a CBDC can either compete or complement such innovations which is evaluated in this review chapter. The author argues that the plethora of public and private currencies on the market, once reached legal maturity in terms of governance, can provide the element of choice to consumers in an open, innovative, and competitive free market. The author put forward that the Bank of England must act to introduce a CBDC that is interoperable with innovative payment platforms including blockchains, accompanied by a user centric design, to participate in the ever adapting fintech economy.

The link between openness and innovative performance has been established as an inverted U-shape relationship, namely, the openness-performance connection is not always positive. The purpose of this paper is to introduce the concept of partner heterogeneity to characterize the influence of “quality” changes in partners on innovative performance, that is, the focus of this paper. Given that partner heterogeneity is crucial in explaining open innovative performance, it is also worth placing the examination of this key construct in emerging regions such as China.

The sample selection of this study covers a wide range of industries, but requires that the sample firms be manufacturing enterprises with an open innovation strategy. With opportunities and challenges associated with partner collaboration toward open innovation, the Chinese province of Zhejiang has established its reputation. Thus, empirical data were collected randomly from data pool of Zhejiang Province Economic and Information Commission, as well as a survey questionnaire. Data were using a cross-sectional survey methodology encompassing diverse organizations, industries, and nations.

Empirical testing of this assumption in a sample of 217 manufacturing firms indicates that partner heterogeneities, which are classified as organizational heterogeneity, industry heterogeneity, and national heterogeneity are all positively associated with innovative performance, but the strength of this association is influenced by environmental turbulence. Technological turbulence significantly and positively modulates the relationships of organizational and national heterogeneities with innovative performance. Market turbulence also plays a significant positive role on the relationship between national heterogeneity and innovative performance, while technological and market turbulence roles on the relationship between industry heterogeneity and innovative performance are not confirmed.

This paper refines the connotative dimensions of partner heterogeneity around the core concept of partner heterogeneity in open innovation in the context of emerging region, China. The study presents a systematic, in-depth analysis, and verifies the impact mechanisms of partner heterogeneity in open innovation on innovative performance by integrating the resource-based view, organizational learning theory, and transaction cost theory.

The purpose of the study was to investigate factors promoting innovation and application of internet of things in academic and research information organizations.

Quantitative research design involved survey of selected academic and research information organizations in public and private chartered institutions. Information professionals, digital content managers, information systems and technologists that normally consume big data and technological resources were involved in the process of data collection using structured questionnaire and content analysis. Information organizations and information practitioners were selected from public and private academic and research institutions.

Innovation of internet of things has increasingly transformed and changed academic and research information organizations as the source of knowledge in addition to expanding access to education, data, information and communication anywhere anytime through hyperconnectivity and networking. Internet of things technologies such as mobile of things, web of things, digital information systems and personal devices are widely applied by digital natives in academic and research information organizations. Mobilization platform and devices is the single biggest provider of data, information and knowledge in academic and research organizations. Modern trends in education and knowledge practices in academic institutions and information organizations depends upon internet of things, digital repositories, electronic books and journals, social media interfaces, multimedia applications, information portal hubs and interactive websites, although challenges regarding inadequate information communication technology infrastructure and social computing facilities still persist.

Information organizations in public and private chartered academic and research institutions were adopted in the study. Respondents handling and supporting information management, planning and decision-making provided the necessary data. Information professionals, digital content managers, information systems and technologists are proactively involved in data and information analytics.

Academic and research information organizations are powerhouses that provide knowledge to support research, teaching and learning for sustainable development and the betterment of humanity and society. Innovation of internet of things and associated technologies provides practical aspects of attaining sustainable information development practices in the contemporary knowledge society. Internet of things technologies, principles of economies of scale and investment and customer needs entail that information organizations and practitioners should provide appropriate and smart systems and solutions.

Modern academic and research information organizations have the social corporate responsibility to offer technological innovations to heighten access to knowledge and learning in academic and research institutions. Economically, innovation and application of internet of things provide unlimited access to big data and information in organizations all the time anywhere anytime.

Data management is a growing phenomenon that information practitioners need to fully understand in the digital economies. Information professionals need to embrace and appreciate innovation and application of internet of things technologies whose role in sustainable development practices is critical in academic and research organizations.

This chapter uses an intellectual capital (IC) qualitative approach for assessing the bio health technologies entrepreneurial ecosystem of a university located in Southern Europe, aiming to identify the role played by IC in fostering the sustainable success of the entrepreneurial ecosystem. There has been limited research dedicated to deepening the knowledge of the entrepreneurial ecosystems’ dimensions, using an IC lens, in the context of university cities with different dimensions. Small cities may not have some dimensions, so developed, comparing with the ones of the ecosystems of large urban centers. This chapter uses a qualitative approach funded in a case study exploring internal and external stakeholders of a Portuguese entrepreneurial ecosystem, UBImedical, targeted at the bio health sector. The study is part of an exploratory study funded in the scope of a European Project, aiming to explore in a pioneering way the application of the dominant triad of capitals forming IC and, thus, identifying and understanding the dimensions of different entrepreneurial ecosystems. The case study reveals that the IC’s dimensions more critical for the success of the bio health entrepreneurial ecosystems are the structural capital and the relational capital, although human capital is perceived as a basic prerequisite for fostering the entrepreneurial ecosystem’s performance. The results are funded in primary and qualitative data collected from the interviews developed to previously identified external and internal stakeholders of this type of entrepreneurial ecosystem under study.

As transferring biological fluid through an artery is nowadays a pivotal subject, the purpose of this paper is to study the mathematical model of hybrid nanofluid flow comprising pure blood as base fluid and TiO₂ and Ag as nanoparticles through the porous channel, which can be an applicable model for drug delivery.

Both walls of the channel have different permeability, which enables the fluid to enter and exit, and variable height, which dilates and squeezes at the uniform rate. By taking advantage of the similarity transformation technique, governing equations have been converted into a system of the non-linear ordinary differential equation. This problem is solved numerically by utilizing BVP4C built-in function in MATLAB software to explore the impacts of pertinent parameters.

The plots of velocity and temperature profile, normal pressure distribution and wall shear stress, as well as Nusselt number for involved parameters, are presented and the logic and physical reasons beyond them are highlighted. It has been observed that the asymmetry of the channel, caused by different permeability at walls, affects the nature of flow significantly.

To the best of the authors’ knowledge, no one has ever attempted to study the flow through a deformable porous channel with blood as a base fluid and as hybrid nanoparticles to describe medical phenomena and treatment applications. Indeed, the achievements of this paper are purely original and the numerical results were never published by any researcher.