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This paper aims to investigate the innovation pathway of gerontechnological enterprises under the market-organization-technology (MOT) perspective through configuration analysis.

Based on the analytical framework of technology, organization and market, this paper conducts configuration analysis on the cases of 55 elderly-friendly enterprises in China combined with fuzzy-set qualitative comparative analysis (fsQCA).

First, this study identifies the three first-level preconditions affecting innovation performance: organization's architectural innovation, technology adapting to aging and market environment attention on the innovation pathway of gerontechnological enterprises. These three first-level conditions include six sub-conditions. Second, this study investigates three innovation pathways by analyzing the configuration effects of preconditions: Configuration 1, technology-balanced type; Configuration 2, organization-market linkage type and Configuration, 3 balanced type. Third, there are differences in the distribution of different configuration types in subdivided industries. The technology-balanced configuration is mainly concentrated in design-driven innovative enterprises, the organization-market linkage configuration is mainly concentrated in medical auxiliary equipment enterprises and the balanced configuration is mainly concentrated in smart elderly care service platform enterprises empowered by digital technology. Fourth, there are differences in the innovation impact paths of the same configuration type. However, the essence lies in the high-level innovation performance formed by the coordinated evolution of technology, organization and market factors, reflecting the characteristics of the same goal through different routes.

The authors' study generates new insights for innovation managers of gerontechnological enterprises about the innovation pathway.

This research enriches innovation management by integrating the linkage adaptation relationship among market, organization and technology factors; further research studies on the different configuration types suitable for different types of enterprises, as well as differentiated innovation pathways under the same configuration type, could contribute to the study on the innovation pathway under a premise of MOT.

The purpose of this paper is to understand how and why small to medium enterprises (SMEs) access knowledge from external actors in general and from higher education institutions (HEIs) in particular and what is the extent to which these knowledge access pathways affect SME innovativeness.

The paper involved both quantitative and qualitative approaches: a survey of 1,226 SMEs and a mini case study to follow-up on issues arising from the survey analysis. Survey data were analysed using both non-parametric and multivariate Poisson regression analysis. The case study was based on a medium-sized manufacturing firm in South Australia.

While there are significant differences between the micro-, small- and medium-sized enterprises, the evidence suggests that SMEs generally use “generic” university–industry knowledge transfer pathways (e.g. published research results) rather than university–industry links with high “relational” involvement. More significantly, the results indicate that SMEs are more likely to rely on organisations other than universities and related R&D enterprises for knowledge acquisition like clients/customers or suppliers. While collaboration is most likely to occur within the same state/territory, or Australia, many SMEs also collaborate internationally, usually as part of normal supplier–customer relationships, reinforcing knowledge acquisition from organisationally proximate partners. These findings are also supported by the case study.

This research was limited to surveying SMEs in one geographic (metropolitan) region in Australia. It also does not account for the different patterns of HEI–SME interactions in different industry sectors. There is also only one case study.

First, the research adds to the few field studies that have investigated accessing knowledge for innovation among SMEs. Specifically, the research contributes to an understanding of the heterogeneous roles that different actors play in facilitating knowledge access for improving innovative SMEs outcomes. Second, the research does not treat all SMEs similarly in terms of size effects but instead accounts for differing SME sizes and how this affects their selection of knowledge access pathways. Third, the research contributes to a small number of studies that attempt to understand how HEIs and SMEs can work better together in the context of a regional innovation system, especially one that is relatively less competitive to the larger economy.

While previous research has identified that environmental innovation is shaped by a variety of drivers, researchers have devoted limited attention to the role of nature-based resources in the country. Building on environmental innovation theory and the natural resource-based view of the firm, this study introduces ecological resource deficits as a novel driver of environmental innovation. The authors explore how ecological resource deficits interact with institutional and regulatory drivers as well as firm-level technology drivers to explain the extent of environmental innovation across different countries.

The authors apply fuzzy-set qualitative comparative analysis to a multi-source dataset to identify different pathways for environmental innovation across 28 countries.

Findings show that higher environmental innovation is a function of ecological resource deficits complemented by the presence of at least two other conditions. Moreover, the results show that environmental policy stringency and societal expectations are substitute conditions of environmental innovation.

This study reveals the interdependences between different conditions for environmental innovation across countries contributing to a more nuanced understanding of the geography of environmental innovation.

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 purpose of this paper is to examine the intermingling of new product development and strategy making which are interpreted as co-evolutionary processes where self-organisation and emergence are significant phenomena.

The paper is based on an empirical study of 50 major Austrian innovations in various manufacturing industries developed by small and large firms in the 1980s and 1990s. The theoretical arguments for studying the innovation and strategy process are based on the findings of the complexity science.

The paper shows that emerging opportunities, self-organisation and strategic intentions are equally important for the development of new major product innovations as deliberate search processes and rational decision making. The author identifies three strategy paths concerning the innovation and strategy process which are described as “strategically managed innovations”, “strategically enabled self-organized innovations” and “purely self-organised innovations”.

While empirical studies investigating the emergent nature of strategy and innovation have so far mostly been analysed for very specific industries and firm types, this paper aims to deliver a broader empirical base for the question as to how strategy enables and guides the emergence of product innovations and how the development of new products contributes to the formation of innovation strategies.

Service‐dominant (S‐D) logic and service science provide a conceptual framework to describe evolutionary pathways that companies could follow by innovating in order to overcome and rethink traditional and non‐productive ways of managing their businesses. The purpose of this paper is to explore service innovation.

Through a critical review of literature about service innovation, highlighting a dynamic perspective and building on the latest contributions from S‐D logic and service science, a research framework is designed. An in‐depth analysis of empirical data from almost 100 companies is conducted.

Four evolutionary paths based on innovation pursued by companies to face the growing complexity of their competitive environment are identified. The paths are dematerialization of the offering system, virtualisation of the value systems, replication of the organizational models and multiplication of market niches.

This is a starting point for better understanding, in a dynamic perspective, the role of innovation in supporting the redefinition of corporate business models and the conditions that enable their path development.

Four cases that show the characteristics of each path are presented. The cases allow the specificity of each path to be emphasized, especially in terms of antecedents and the role of the service science key resources people, technology, organizations and shared information.

The purpose of this paper is to discuss the commercialisation mechanisms of the innovations that emerge from the informal sector of Indian economy. Also known as grassroots innovations, they are said to better fit with the local market demands and conditions in the developing nations of the world. The paper discusses the grassroots innovation ecosystem in India and the role that is played by the state in providing institutional support.

The paper is based on an exploratory study using both the primary and secondary sources of data. Primary data are taken from the interview of the innovators during the field work, whereas secondary data are acquired from research articles published in various journals indexed in Scopus and web of sciences, government publications and reports. The annual reports of National Innovation Foundation are analysed to gather information and to build the arguments for this paper. The secondary data are also collected and evaluated from the database of the grassroots innovators available on Grassroots Innovation Augmentation Network.

The paper provides insight into how the grassroots innovations are commercialised in India through different pathways such as social entrepreneurship, technology transfer and open source technology. It takes four case studies to discuss the institutional support to the grassroots innovator and the challenges in the diffusion of the grassroots innovations.

Due to the chosen research approach, the results cannot be generalised on all grassroots innovations. Researchers are encouraged to conduct a survey of more grassroots innovations in order to derive generalised outputs.

The paper includes implications for understanding the diffusion process of grassroots innovations that can be useful for all the emerging and developing nations.

The paper fulfils an identified need to study the diffusion modes of informal sector innovations and management of grassroots innovations.

The purpose of this paper is to question whether the emphasis placed within translational research on a linear model of innovation provides the most effective model for managing health technology innovation. Several alternative perspectives are presented that have potential to enhance the existing model of translational research. A case study is presented of innovation of a clinical decision support system. The paper concludes from the case study that an extending the triple helix model of technology transfer, to one based on a quadruple helix, present a basis for improving the performance translational research.

A case study approach is used to help understand development of an innovative technology within a teaching hospital. The case is then used to develop and refine a model of the health technology innovation system.

The paper concludes from the case study that existing models of translational research could be refined further through the development of a quadruple helix model of heath technology innovation that encompasses greater emphasis on user-led and open innovation perspectives.

The paper presents several implications for future research based on the need to enhance the model of health technology innovation used to guide policy and practice.

The quadruple helix model of innovation that is proposed can potentially guide alterations to the existing model of translational research in the healthcare sector. Several suggestions are made for how innovation activity can be better supported at both a policy and operational level.

This paper presents a synthesis of the innovation literature applied to a theoretically important case of open innovation in the UK National Health Service. It draws in perspectives from other industrial sectors and applies them specifically to the management and organisation of innovation activities around health technology and the services in which they are embedded.

This study aims to unveil the pivotal components and implementation pathways in the digital innovation of smart tourism destinations, while constructing a theoretical framework from a holistic perspective.

The research focuses on 31 significant urban smart tourism destinations in China. Secondary data was collected through manual search supplemented by big data scraping, whereas primary data was obtained from interviews with municipal tourism authorities. Grounded theory was used to theoretically construct the phenomenon of digital innovation in smart tourism destinations.

This research has formulated a data-driven knowledge framework for digital innovation in smart tourism destinations. Core components include digital organizational innovation, smart data platforms, multi-stakeholder digital collaborative ecosystem and smart tourism scenario systems. Destinations can achieve smart tourism scene innovation through closed innovation driven by smart data platforms or open innovation propelled by a multi-stakeholder digital collaborative ecosystem.

Based on insights from digital innovation practices, this study proposes a series of concrete recommendations aimed at assisting Destination Management Organizations in formulating and implementing more effective digital innovation strategies to enhance the sustainable digital competitiveness of destinations.

This study advances smart tourism destination innovation research from localized thinking to systemic thinking; extends digital innovation theory into the realm of smart tourism destination innovation; repositions the significance of knowledge in smart tourism destination innovation; and constructs a comprehensive framework for digital innovation in smart tourism destinations.

本研究致力于揭示智能旅游目的地数字创新中的核心组件及实施路径, 并创建一个整体视角下的理论框架。

研究选定中国31座重要城市型智能旅游目的地为研究对象。通过人工检索结合大数据抓取的方式收集二手资料, 以各市旅游主管部门为访谈对象收集一手资料。运用扎根理论对智能旅游目的地的数字创新现象进行理论构建。

本研究构建了一个数据型知识驱动的智能旅游目的地数字创新框架。其中, 核心组件包括数字组织创新、智慧数据平台、多主体数字协同生态和智慧旅游场景体系。目的地可通过智慧数据平台驱动的内生型创新或多主体数字协同生态推动的开放式创新, 实现智能旅游场景创新。

本研究将智能旅游目的地创新相关研究由局部思考推向系统思考; 将数字创新理论扩展到智能旅游目的地创新的研究中; 重新定位知识在智能旅游目的地创新中的重要地位; 以及构建了一个智能旅游目的地数字创新整体框架。

本研究基于数字创新实践洞察, 提出了一系列具体建议。旨在帮助目的地管理组织更有效地制定和实施数字创新策略, 以增强旅游目的地可持竞争力。

La investigación se centra en 31 destacados destinos turísticos urbanos inteligentes de China. Los datos secundarios se recopilaron mediante una búsqueda manual complementada con técnicas de big data, mientras que los datos primarios se obtuvieron a partir de entrevistas con las autoridades turísticas municipales. Se empleó la teoría fundamentada para construir teóricamente el fenómeno de la innovación digital en los destinos turísticos inteligentes.

Esta investigación tiene como objetivo identificar los componentes esenciales y las rutas de implementación de la innovación digital en destinos turísticos inteligentes, y construir un marco teórico desde una perspectiva holística.

Este estudio ha desarrollado un marco de conocimiento basado en datos para la innovación digital en destinos turísticos inteligentes. Los componentes centrales incluyen la innovación organizativa digital, la plataforma de datos inteligentes, el ecosistema digital colaborativo de múltiples actores y el sistema de escenarios turísticos inteligentes. Además, tanto la innovación endógena impulsada por la plataforma de datos inteligentes como la innovación abierta impulsada por el ecosistema digital colaborativo de múltiples actores contribuyen a la innovación por escenarios en destinos turísticos inteligentes.

A partir de las prácticas de innovación digital, este estudio ofrece una serie de recomendaciones dirigidas a las Organizaciones de Gestión de Destinos (DMOs) para la formulación e implementación de estrategias de innovación digital de manera más efectiva, y mejorar la competitividad digital sostenible de los destinos turísticos.

Este estudio avanza la investigación sobre innovación en destinos turísticos inteligentes desde el pensamiento localizado hasta el pensamiento sistémico; extiende la teoría de la innovación digital al ámbito de la innovación en destinos turísticos inteligentes; reposiciona la importancia del conocimiento en la innovación de destinos turísticos inteligentes; y construye un marco integral para la innovación digital en destinos turísticos inteligentes.

In this chapter, guest author Dr. Randy Burd discusses the conditions that both promote and hinder innovation in the life sciences. Burd presents his personal observations of how the traditional academic model fails to fully encourage academic innovation, and in doing so illuminates the cultural gap between the academy and industry. He follows this constructive critique of the current system with the suggestion that social entrepreneurship represents a productive middle ground where both traditional bench science flourishes and academic innovation is celebrated.