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This study aims to examine the impact of Covid19 on service ecosystem self-adjustment (SES_SA) and additionally to explore the mediating role of SES_SA on the relationship between the Covid19 pandemic and the development of digital service capability (DD_SC).

Data were drawn from 384 business people with the help of a survey questionnaire. The interrelation of the model was examined with the help of structural equation modeling (SEM) using bootstrapping measures in Smart-partial least square (PLS). Three constructs (Covid19, DD_SC and SES_SA) were found with the help of exploratory factor analysis (EFA). Convergent and discriminant validity were obtained through confirmatory factor analysis (CFA) using statistical package for the social sciences-analysis of a moment structures (SPSS-AMOS)-V.23.

There is a substantial impact of Covid19 on SES_SA and DD_SC. The investigation also discovered that SES_SA significantly impact DD_SC, whereas, Covid19 impact DD_SC indirectly through SES_SA. Age has a significant favorable influence on fear of Covid19.

There is scant literature linking SES_SA and the DD_SC.

The study promotes understanding of the contribution of Covid19 and SES_SA in the DD_SC among business people to enhance value co-creation. Capitalizing on DD_SC will enhance customer experience, assist customers in decision-making, and foster digital economic growth.

It enlightens on the digital capabilities needed for creating and co-creating value. Most studies in this area are qualitative/conceptually based and have not studied this kind of interrelation. Hence, it’s the only quantitative study that has examined the inter-relations among Covid19, SES_SA and DD_SC using SEM. This study also offers comprehension of all theories used in this context by relating Covid19 effects to DD_SC.

The aim of the study is to explore the genesis of entrepreneurial ecosystems (EE) and highlight the role played by intellectual capital (IC) in that process. Specifically, the paper adopts the collective intelligence approach, and the study shows how human capital (HC), structural capital (SC) and relational capital (RC) interact to create an entrepreneurial ecosystem.

The paper adopts a single case study of an Italian EE. The data analysis is based upon the collection of different sources of data: semi-structured interviews with representatives of each actor of the ecosystem; email correspondence; meetings report; a 24-months period of direct observation. Given the novelty of the topic, the qualitative method seems well suited for studying innovation-based EE since the method offers rich data about a phenomenon in real-life context.

The case is a top-down, innovation-based EE in which all main components of the IC play a crucial role from the initial stage. Findings show how the constant interchange between IC components occurs at two different levels: the micro and the meso level. HC and RC play major roles at both levels, whilst SC only occurs at a meso level, representing the environment in which the whole ecosystem takes place. Additionally, the use case, a new intangible asset integrating all three components of IC, emerged as one of the main outcomes of this innovation-based EE.

The paper contributes to a rather unexplored topic in the existing literature on EE and IC, namely the formation process of EE and the role played by IC within that process. Additionally, through the application of the collective intelligence approach, the authors shed light on the need to manage IC at both micro and meso level in the creation of an EE.

This study aims to suggest directions for innovation-driving paths for sustainable growth through an in-depth case analysis of a successful Internet of Things (IoT) in small- and medium-sized enterprise (SME) in South Korea. IoT is expected to play a significant role in the future industry 4.0 platform. Yet, little is known about how SMEs in the IoT industry (IoT-SMEs hereafter) pursue innovation in alignment with attributes inherent in the IoT.

This study addresses relatively unexplored key research questions on innovation strategies of IoT-SMEs. To do so, we employ an exploratory research methodology, along with an extensive review of the literature in the areas of the IoT, SMEs innovation and sustainable growth strategy. Specifically, we conduct intensive individual interviews to find IoT inherent innovation attributes and a case study to explore the process of linking these attributes to innovation-driving paths.

The analysis results reveal that there exist disruptive and open innovation attributes in the IoT industry that enable IoT-SMEs to enhance their structure and process related capabilities, to create business models for products and services and to collaborate with external parties in marketing to enter the market. We excavate practical insights into driving innovation based on IoT attributes and suggest enabling paths for pursuing innovation and entering overseas markets for IoT-SMEs.

This study investigates an underexplored significant area of research on the relationship between IoT attributes and innovation paths. The findings provide profound theoretical and practical implications. To the best of the author’s knowledge, it is the first attempt to link disruptive and open IoT attributes to innovation paths of IoT-SMEs. The results provide directions for pursuing effective innovation in responding to the IoT market for sustainable growth.

The dynamics of the competitive performance of the small medium firms is an evolving field of research in the developing countries like India. The influence of the innovation on the competitive performance of the firms is still an evolving area in India. This paper aims to explore the influence of the innovation on the competitive performance. The study is based upon the agro-food processing industry of the Jammu and Kashmir state of India.

The paper is based upon the exploratory design. It uses quantitative as well as qualitative method for the firm level analysis of competitiveness. The aggregate index method has been used to construct the innovation competence and total competitive performance index. The regression analysis is used for describing the model based upon the primary data.

The results of the study provide for a significant relationship between the innovation competence and firm level competitiveness. It describes the position of the agro-food processing firms under study with respect to the innovation competence index score and total competitiveness performance index.

The paper provides for the managerial implications of strategically incubating the innovation-based competence for the firms in specific geographical areas. The policy implications in terms of developing specific clusters and incubators for incremental and radical innovations can be derived, in regional economies.

The paper discusses the issue of interaction of innovation competence and firm level competitiveness of the agro-food processing industry, which is dynamic, specifically in the developing states. The paper discussed unique methodology of using aggregate index method for defining the innovation competence and competitiveness for the firms where the consistency of data is a major issue for such a complex phenomenon.

The purpose of this paper is to present an analytical review of the educational innovation field in the USA. It outlines classification of innovations, discusses the hurdles to innovation, and offers ways to increase the scale and rate of innovation-based transformations in the education system.

The paper is based on a literature survey and author research.

US education badly needs effective innovations of scale that can help produce the needed high-quality learning outcomes across the system. The primary focus of educational innovations should be on teaching and learning theory and practice, as well as on the learner, parents, community, society, and its culture. Technology applications need a solid theoretical foundation based on purposeful, systemic research, and a sound pedagogy. One of the critical areas of research and innovation can be cost and time efficiency of the learning.

Several practical recommendations stem out of this paper: how to create a base for large-scale innovations and their implementation; how to increase effectiveness of technology innovations in education, particularly online learning; how to raise time and cost efficiency of education.

Innovations in education are regarded, along with the education system, within the context of a societal supersystem demonstrating their interrelations and interdependencies at all levels. Raising the quality and scale of innovations in education will positively affect education itself and benefit the whole society.

Originality is in the systemic approach to education and educational innovations, in offering a comprehensive classification of innovations; in exposing the hurdles to innovations, in new arguments about effectiveness of technology applications, and in time efficiency of education.

The purpose of this study is to propose a multidimensional view of social innovation.

It offers a detailed analysis of the activities performed by ADEL (Agência de Desenvolvimento Econômico Local) – a regional non-governmental organization located in one of the poorest regions of Brazil – which is succeeding in engaging young people in the promotion of local development. The case was analysed drawing on the dimensions structured by researchers of one of the main centres of social innovation in the world, the Centre de Recherche sur Les Innovations Sociales (CRISES) based in Canada.

The results found characterize ADEL as a social innovation based on the dimensions of social innovation described in the CRISES’ conceptual encyclopaedia (Tardif and Harrison, 2005). The results highlight the singularities of the case studied, which allowed the elaboration of a revisited table of dimensions proposed by the CRISES’ researchers.

For future studies, using the CRISES’ table as reference of analysis for other social innovations, the possibility suggested is the quantitative exploration of these dimensions.

The originality of this article lies in the fact that it presents a representative social innovation for the Brazilian semiarid.

The purpose of this paper is to explore Finns’ labor market development predictions for the next ten years and shed light on preferred policy responses to the digital economy.

Nationally representative survey data employed in this paper were collected in autumn 2017. The data collection utilized a multiphase sampling, and the interviews (n=1004) were carried out on telephone to minimize selection-bias and produce demographically balanced data.

Over two-thirds (71 percent) of Finns do not expect technological unemployment to constitute a permanent problem in the digital economy. Nevertheless, 74 percent assume that technological unemployment will increase at least temporarily. A considerable majority (85 percent) also believe that future jobs will be more precarious. Younger generations, despite their currently weak position in the labor market, are surprisingly more optimistic in their predictions. Analysis of preferred policy responses support this paper’s main thesis that the Finnish view on the future of work is rather optimistic: education reforms and streamlining the current social security gather dedicated support, whereas more unconventional ideas such as basic income or work-sharing remain contested.

To predict possible barriers to labor mobility stemming from digital economy discourses and to anticipate possible political fluctuations, studies on the public view are needed. This research aims to provide a solid framework for further comparative explorations of the public view.

Platforms have often been considered an excellent example of innovation with an incredibly fast diffusion rate due to network effects. Notwithstanding, in many cases, they match the definition of resistant innovations, requiring a significant change in the consumers' behavior that may slow down the process of diffusion. How can network effects be leveraged to disseminate resistant innovation based on a platform structure?

This research focuses on the car-sharing industry as a single case study, involving five different providers and two service aggregators operating in Milan, Italy.

First, this research shows how direct network externalities on the providers' side may play a vital role in the dissemination process, increasing the value perceived by the potential new entrants. Second, it shows how co-opetition dynamics, eventually encouraging multihoming phenomenon, may play – in the first phases of the diffusion process – a pivotal role to let the industry flourish.

This research contributes to the growing literature on platforms and two-sided platform showing how this model may be applied more broadly to network businesses to understand competitive dynamics.

This study offers insights to managers and practitioners dealing with network services, showing the potential benefits of coopetitive strategies while facing the initial phases of the dissemination process.

This paper gets together resistant innovation, two-sided platforms and network effects offering novel insights on the dynamics of network services – such as the car-sharing – while giving fresh insights taking the perspective of the service providers.

The study aims to provide an analytical overview of current innovations in peer review and their potential impacts on scholarly communication.

The authors created a survey that was disseminated among publishers, academic journal editors and other organizations in the scholarly communication ecosystem, resulting in a data set of 95 self-defined innovations. The authors ordered the material using a taxonomy that compares innovation projects according to five dimensions. For example, what is the object of review? How are reviewers recruited, and does the innovation entail specific review foci?

Peer review innovations partly pull in mutually opposed directions. Several initiatives aim to make peer review more efficient and less costly, while other initiatives aim to promote its rigor, which is likely to increase costs; innovations based on a singular notion of “good scientific practice” are at odds with more pluralistic understandings of scientific quality; and the idea of transparency in peer review is the antithesis to the notion that objectivity requires anonymization. These fault lines suggest a need for better coordination.

This paper presents original data that were analyzed using a novel, inductively developed, taxonomy. Contrary to earlier research, the authors do not attempt to gauge the extent to which peer review innovations increase the “reliability” or “quality” of reviews (as defined according to often implicit normative criteria), nor are they trying to measure the uptake of innovations in the routines of academic journals. Instead, they focus on peer review innovation activities as a distinct object of analysis.

This paper aims to examine the impacts of corporate entrepreneurship, national policies and supply chain collaboration on the innovativeness of manufacturers of light emitting diode (LED) in Malaysia.

The data were collected by using questionnaire survey from the manufacturers involved in the various echelon of the supply chain. The data collected were analyzed by using partial least square (PLS).

Corporate entrepreneurship plays a moderating role in the relationship between national policies, supply chain collaboration and innovativeness.

This study is only focusing on the supply chain of LED in Malaysia; hence, the results may not be suitable to be generalized to wider populations.

The findings of this study could help the local companies to understand on how, as entrepreneurs, they could expand from small scale to contract manufacturers through enhancing innovativeness. This is important as failure to do so may cause them to be excluded from the global supply chain.

This study expands the existing literature by providing empirical evidence from the perspective of an emerging country, namely, Malaysia. It also attempts to close the gaps by examining the role of corporate entrepreneurship as the moderating variable.