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Purpose of This Chapter: This chapter examines the gender-based skewness witnessed in terms of women-led unicorns, as well as, in the field of entrepreneurship in general in India. India has been witnessing a booming startup landscape lately, with the country producing several new unicorns. Competing internationally, India comes third in world rankings regarding the number of unicorns made.

Design / Methodology / Approach: The methodology adopted in this chapter is case-based analysis of individuals with the help of secondary data available in the public domain. The authors employ comparative analysis methodology keeping two major parameters of interest as the verticals that form the basis of the comparative analysis.

Findings: The special provisions in place that are especially meant for women entrepreneurs in order to help them scale up their business and target higher profits have loopholes in them and as a result, a very low number of women-led businesses have been able to mark their presence in the unicorn club.

Research Limitations / Implications: A lesser number of women entrepreneurs in the unicorn club, so making generalizations has not been possible.

Practical Implications: The chapter gives a better understanding of the dynamics of the entrepreneurship arena in India with respect to women entrepreneurs who are doing significant work on the basis of scale of operation and profits.

Originality: This is an original chapter which has not been presented or published before. This chapter can be of immense value to anyone interested in India’s current entrepreneurial scenario, and useful to policymakers, researchers, and academicians.

Contemporary frameworks in the resource-based view (RBV) of the firm observe that the proprietary firm-specific assets of multinational companies (MNCs) from developed economies give them competitive advantage in international markets. However, the question “how do emerging market firms (EMFs) achieve accelerated internationalisation in knowledge based industries – despite not possessing proprietary assets and lacking critical elements of innovation eco-systems, institutions and infrastructure” has yet to be addressed. This paper aims to adopt a knowledge-based view (KBV) of the firm, identifying knowledge, both inside and outside of the firm, as a critical element for the internationalization of EMFs.

This research entailed deductive econometric analyses using panel data analysis from 925 firm-year observations, which tested our predictions on capabilities that contribute to the internationalization of EMFs from the IT industry in India.

The findings of the authors’ panel data analysis reveal that the capacity to internationalize is predicated by knowledge leverage in three principal domains: absorptive capacity, tacit knowledge and knowledge-codification. This study shows internationalization is driven by higher-order capabilities of EMFs that draw on the absorptive capacity of individuals and collectives as a dynamic capability to serve international clients worldwide.

This study highlights that the process by which EMFs gain competence is different to the Western MNCs insofar as the extent to which EMFs have to stretch their efforts of learning from clients.

For practitioners, the findings of this research are a useful guide to understand that EMFs need to make strategic investments to understand the idiosyncrasies of a variety of clients’ needs and operating environments to dynamically adapt, document the learning and leverage the tacit knowledge.

This study captures the innate ability of entrepreneurs in emerging economies to unlock their potential in human capital for globalizing operations and targeting new market segments in the industry. This can directly benefit in uplifting the income level of millions in relatively underdeveloped countries and bringing about much-needed equity in the level of income in the society.

The value of this study lies in its novel and contemporary insight on how EMFs leapfrog in a fast-changing technology space. What distinguishes the work from the static framework in literature is that EMFs learning is dynamic, and happens in an interactive mode, alongside clients in close proximity. This study captures the innate ability of entrepreneurs to unlock the potential of human capital in emerging economies for globalizing operations.

To explore the influence of various factors on the adhesion strength of 3D printing materials and chiffon fabrics, and to develop an original design clothing prototype with an extended functionality that would be compatible with the specifics of the circular design.

Four different chiffon fabrics and four 3D printed materials were chosen as the research subjects to determine the influence of various factors on the adhesion strength and ductility. The uniaxial tensile test was used to determine pull-out force and the pull-out elongation from the interlayer.

3D printed TPU elements can be used to join clothing parts made from low-elasticity chiffon fabrics to improve wearing comfort. In order to comply with the circular economy concept, it is important to select such adhesion parameters of the 3D printed elements and the material system that would ensure wear comfort and withstand wear-level loads; and at the end of the life cycle of a garment, the 3D printed elements could be separated from the product and recycled.

The systems developed can be used to renew and repair products, adding originality, individual touch or additional decorative features, while extending the functional possibilities of clothing items in accordance with circular design principles.

The circular economy (CE) has been endorsed as representing a model that is able to achieve environmental protection through decreased use of raw materials, together with changing economic values and social inclusion thanks to its demand for a wide variety of skill profiles. This has motivated many policy initiatives to support the implementation of the CE. The purpose of this study is to follow such policy initiatives in three geographically anchored industry-specific networks.

The study contributes to the research debate on the CE through a spatial approach with a focus on how the implementation of the CE is conditioned by spatial and regional contexts. The authors investigate three different networks in Sweden for CE with different locations and industrial profiles.

The findings reveal the difficulty that exist in relation to the implementation of the CE. The network and support functions in combination with private industry are vital. The risk of sustaining an uneven regional economic development is evident.

Although research on the development of the CE has proliferated, geographical approaches to this development are comparably rare to date. The authors seek to contextualise the strategy development and policy implementation of a CE policy.

Building a smart city is a necessary path to achieve sustainable urban development. Smart city public–private partnership (PPP) project is a necessary measure to build a smart city. Since there are many participants in smart city PPP projects, there are problems such as uneven distribution of risks; therefore, in order to ensure the normal construction and operation of the project, the reasonable sharing of risks among the participants becomes an urgent problem to be solved. In order to make each participant clearly understand the risk sharing of smart city PPP projects, this paper aims to establish a scientific and practical risk sharing model.

This paper uses the literature review method and the Delphi method to construct a risk index system for smart city PPP projects and then calculates the objective and subjective weights of each risk index through the Entropy Weight (EW) and G1 methods, respectively, and uses the combined assignment method to find the comprehensive weights. Considering the nature of the risk sharing problem, this paper constructs a risk sharing model for smart city PPP projects by initially sharing the risks of smart city PPP projects through Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to determine the independently borne risks and the jointly borne risks and then determines the sharing ratio of the jointly borne risks based on utility theory.

Finally, this paper verifies the applicability and feasibility of the risk-sharing model through empirical analysis, using the smart city of Suzhou Industrial Park as a research case. It is hoped that this study can provide a useful reference for the risk sharing of PPP projects in smart cities.

In this paper, the authors calculate the portfolio assignment by EW-G1 and construct a risk-sharing model by TOPSIS-Utility Theory (UT), which is applied for the first time in the study of risk sharing in smart cities.

The purpose of this review is to comprehensively consider the material properties and processing of additive titanium alloy and provide a new perspective for the robotic grinding and polishing of additive titanium alloy blades to ensure the surface integrity and machining accuracy of the blades.

At present, robot grinding and polishing are mainstream processing methods in blade automatic processing. This review systematically summarizes the processing characteristics and processing methods of additive manufacturing (AM) titanium alloy blades. On the one hand, the unique manufacturing process and thermal effect of AM have created the unique processing characteristics of additive titanium alloy blades. On the other hand, the robot grinding and polishing process needs to incorporate the material removal model into the traditional processing flow according to the processing characteristics of the additive titanium alloy.

Robot belt grinding can solve the processing problem of additive titanium alloy blades. The complex surface of the blade generates a robot grinding trajectory through trajectory planning. The trajectory planning of the robot profoundly affects the machining accuracy and surface quality of the blade. Subsequent research is needed to solve the problems of high machining accuracy of blade profiles, complex surface material removal models and uneven distribution of blade machining allowance. In the process parameters of the robot, the grinding parameters, trajectory planning and error compensation affect the surface quality of the blade through the material removal method, grinding force and grinding temperature. The machining accuracy of the blade surface is affected by robot vibration and stiffness.

This review systematically summarizes the processing characteristics and processing methods of aviation titanium alloy blades manufactured by AM. Combined with the material properties of additive titanium alloy, it provides a new idea for robot grinding and polishing of aviation titanium alloy blades manufactured by AM.

The purpose of this paper is to identify the historical trends and status of the national development of artificial intelligence (AI) from a nationwide perspective and to enable governments at different administrative levels to promote AI development through policymaking.

This paper analyzed 248 Chinese AI policies (36 issued by the state agencies and 212 by the regional agencies). Policy bibliometrics, policy instruments and network analysis were used to reveal the AI policy patterns. Three aspects were analyzed: the spatiotemporal distribution of issued policies, the policy foci and instruments of policy contents and the cooperation and citation among policy-issuing agencies.

Results indicate that Chinese AI development is still in the initial phase. During the policymaking processes, the state and regional policy foci have strong consistency; however, the coordination among state and regional agencies is supposed to be strengthened. According to the issuing time of AI policies, Chinese AI development is in accordance with the global situation and has witnessed unprecedented growth in the last five years. And the coastal provinces have issued more targeted policies than the middle and western provinces. Governments at the state and regional levels have emphasized familiar policy foci and played the role of policymakers, along with regional governments that also functioned as policy executors as well. According to the three-dimension instruments coding, the authors found an uneven structure of policy instruments at both levels. Furthermore, weak cooperation appears at the state level, while little cooperation is found among regional agencies. Regional governments cite state policies, thus leading to the formation of top-down diffusion, lacking bottom-up diffusion.

The paper contributes to the literature by characterizing policy patterns from both external attributes and semantic contents, thus revealing features of policy distribution, contents and agencies. What is more, this research analyzes Chinese AI policies from a nationwide perspective, which contributes to clarifying the overall status and multi-level relationships of policies. The findings also benefit the coordinated development of governments during further policymaking processes.

Unprecedented levels of investment in transit and transit-oriented development in Los Angeles County have not resulted in gains for transit-dependent populations or overall higher ridership for that matter. They have instead saddled them with inordinate cost burdens and displacement pressures. Yet racialised, low-income communities that rely on transit are far from passive victims. Rather, they are participating in advocacy campaigns that penetrate decision-making venues and procedures and co-create institutional practices, policy priorities, and public and private investments that serve their interests and build a Los Angeles that is more widely accessible and affordable. This chapter presents a case study of the Alliance for Community Transit-Los Angeles (ACT-LA), a regional coalition of over 40 community-based organisations at the helm of direct-action policy campaigns and participatory planning initiatives to advance transit justice and equitable transit-oriented communities (TOC). After examining ACT-LA's origins in the LA-based movement for community benefits agreements, the analysis focuses on how ACT-LA has combined political mobilisation for ballot-box measures with participatory policy-making and planning processes to advance just, equitable, sustainable transit systems, and TOC. The concluding discussion considers the implications of the ACT-LA case for reformulating participatory policy-making and planning around transportation and land use to further equity and climate goals.

The paper examines the key driving factors behind the rapid and uneven growth of social enterprises in China based on Kerlin’s Macro-Institutional Social Enterprise (MISE) model of social enterprise development, with an emphasis on testing key local institutional factors.

The study adopts the quantitative method approach. The hypotheses have been tested based on a cross-regional empirical analysis with two national datasets on China.

This study shows that among the state, market and civil society, local government support in terms of favorable policies is the sole determinant factor driving China’s social enterprise growth. On the other hand, the market is irrelevant and local civil society impedes social enterprise growth. This demonstrates that the current growth model is the result of government intervention.

The datasets have a limited sample size. We suggest that future studies may collect a larger sample size with more comprehensive information. We think this study will encourage more comparative qualitative studies at the local level to reveal the underlying mechanisms of growth.

Since government policy is the determinant factor, the quality and quantity of government-backed incubation programs and platforms would matter the most for social enterprise growth. Our study also helps social entrepreneurs understand what factors matter when they try to develop social enterprises in China. They are advised to work on aspects of gaining legal legitimacy and political support in order to grow the sector.

This conclusion suggests that professionals and practitioners should review the implications of the current growth of social enterprises in China, in terms of their sustainability, given their institutional isolation from other sectors.

Current studies have yet to thoroughly explore the role of meso- and micro-institutional factors in social enterprise development, especially in different contexts. With reference to Kerlin’s framework and the tri-sector model, this paper advances the understanding of social enterprise growth in China.

This study employs Stein Rokkan's methodological approach to analyse state formation in the Greater Middle East. It develops a conceptual framework distinguishing colonial, populist and democratic pacts, suitable for analysis of state formation and nation-building through to the present period. The framework relies on historical institutionalism. The methodology, however, is Rokkan's. The initial conceptual analysis also specifies differences between European and the Middle Eastern state formation processes. It is followed by a brief and selective discussion of historical preconditions. Next, the method of plotting singular cases into conceptual-typological maps is applied to 20 cases in the Greater Middle East (including Afghanistan, Iran and Turkey). For reasons of space, the empirical analysis is limited to the colonial period (1870s to the end of World War 1). Three typologies are combined into one conceptual-typological map of this period. The vertical left-hand axis provides a composite typology that clarifies cultural-territorial preconditions. The horizontal axis specifies transformations of the region's agrarian class structures since the mid-19th century reforms. The right-hand vertical axis provides a four-layered typology of processes of external intervention. A final section presents selected comparative case reconstructions. To the authors' knowledge, this is the first time such a Rokkan-style conceptual-typological map has been constructed for a non-European region.