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Innovation ecosystem is an emerging and popular concept in both academic and industrial circles. It offers a new perspective for enterprise strategy positioning. A business can create more value through a healthy innovation ecosystem. The paper aims to discuss these issues.

In this paper, the authors utilize a new triple-layer core-periphery framework to analyze Insigma Group’s multi-platform collaboration innovation ecosystem, in order to explore the architecture and heterogeneous functions inside an innovation ecosystem.

The authors illustrate the components and working mechanisms of the four platforms, which function as ideation, entrepreneurship, financing and investment, and innovation, inside Insigma’s innovation ecosystem in detail, and explain how they interact and collaborate toward a shared aim of the whole innovation ecosystem.

The innovation ecosystem is an emerging concept. In this study, the authors combined two existing analytical frameworks of innovation ecosystem, and proposed a triple-layer core-periphery framework, which enable us to analyze the heterogeneity inside an innovation ecosystem.

The authors discussed the role of government and its policies in shaping the innovation ecosystem at the enterprise level.

The authors believe that this paper provides a holistic study of Insigma’s innovation ecosystem. The triple-layer core-periphery framework can be used to study other enterprise innovation ecosystem in the future.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

This research paper takes a structured look inside the Insigma Group’s multi-platform collaboration innovation ecosystem, to analyze the foundation beneath its successful maintenance of competitive advantage. This international Chinese company structurally builds in the four subdivided platforms of ideation, entrepreneurship, financing and investing, and innovation. Through these platforms, much of their collaborative innovation is initiated and nurtured.

The briefing saves busy executives, strategists, and researchers hours of reading time by selecting only the very best, most pertinent information, and presenting it in a condensed and easy-to-digest format.

This study aims to identify appropriate strategies and actions adopted by business-to-business firms to cope with the ongoing COVID-19 crisis.

A review of business-to-business marketing responses to the COVID-19 crisis in China was conducted.

Nine marketing responses built on core business processes were classified into three categories: (1) embedded in product development management process (stretching product lines to meet urgent needs, expanding product lines to meet urgent needs and adjusting products proactively for emerging needs), (2) built on supply chain management process (coordinating suppliers to meet surging demand, migrating to digital distribution channels and solidarity with supply chain members) and (3) related to customer relationship management process (investing in advertising and promotion, cross-selling to existing customers and supporting customers).

This study contributes to the literature of marketing responses to COVID-19 by examining the cash flows effects of various marketing responses. It also contributes to the business processes based on marketing strategy framework by extending it to the crisis management context. In addition, it provides five practical suggestions for business-to-business firms to cope with the COVID-19 crisis.

The main goal of this paper is to study empirically the importance of experience of top managers and firms for export performance, having controlled for a number of firm characteristics.

The study is based on the probit model applied to the 2020 edition of the BEEPS firm level survey. The authors analyze firms in 15 EU member and 15 non-member countries.

The results indicate that firm experience can increase the probability of direct exporting, but is not significant for indirect exporting. The results also support the importance of interaction between experience of managers and experience of firms. The authors conclude that only the combination of managerial and firm experience can have a positive and significant effect for direct exporting. This relationship is more pronounced in the case of EU members.

The main limitations of our approach are related to data constraints. These include availability of only cross-sectional data and the limited number of individual characteristics of managers.

The importance of experience for exporting suggests that firms can break into foreign markets by hiring more experienced managers.

Post-communist countries can improve their export performance by hiring more experienced managers that would stimulate direct exports. Moreover, they can also export indirectly through intermediaries.

In contrast to previous studies, the authors used a model proposed by Jørgensen and Schroder (2008) in which the authors endogenized the costs of exporting by linking them to firm and managerial experience. Then, the authors validated empirically the importance of experience for firm export performance, having controlled for the set of individual firm characteristics.

Access to formal financial services is one of the main obstacles to the adoption of agricultural technologies such as Sustainable Agricultural Practices (SAPs). In order to increase financial inclusion and lessen farmers' liquidity restrictions, Village Savings and Loans Associations (VSLA) are being promoted in rural farming communities. However, there extent to which VSLA contributes to the acceleration of agricultural practices, such as SAP, remains little explored in existing literature. The objective of this study was to quantitatively assess the impact of VSLA on the intensity of adoption of SAPs.

This study used cross-sectional data from 376 farming households in the East Gonja district of Ghana. An Endogenous Poisson Treatment Regression (EPTR) was applied to correct for self-selection bias that might emanate from both observed and unobserved differences in household characteristics.

The empirical results indicated that farmers' engagement in non-farm economic activities, ownership of land and size of agricultural land under cultivation positively and significantly influence the intensity of SAPs adoption. Moreover, participation in VSLA improves the adoption of SAPs, and that VSLA-participants adopted about three more SAPs than they would have if they did not participate in VSLA.

This study re-affirmed the significance of VSLA in rural farming communities and recommend that it should be promoted as an alternative to formal financial services to enhance financial inclusiveness, and consequently boost the uptake of SAPs.

In the search of literature, this study is the first to estimate the impact of VSLA on adoption of SAPs. The use of EPTR helps to bring out the true treatment effects of VSLA on SAPs.

New varieties of paddy are constantly being developed in India in order to sustain yield gains in the face of biotic and abiotic stresses. In this study, the authors attempt to identify the drivers for adoption of new varieties of paddy in India; the authors also estimate the impact on yield of the adoption of new paddy varieties.

Survey data consisted of the reported information from approximately 20,000 paddy farmers in India. The study employs Cragg's double-hurdle model to study the probability and intensity of adoption of new varieties; we use regression discontinuity design to estimate the change in yield due to adoption of new varieties.

The authors’ findings indicate that the adoption of new varieties of paddy in India varies significantly within and between regions; further, the adoption of new varieties is affected by a number of socioeconomic and demographic factors; the authors also find that the adoption of new varieties increases yield significantly.

These are observational data and not based on the experiments. The authors relied on farmers' memory to recall the information.

The authors suggest the formulation of strategic policies that can cater to the needs of regions and states that are lagging behind in the adoption of new paddy varieties.

This paper is an attempt to understand the pattern of credit among agricultural households in Eastern India and to identify the correlates of their access to institutional credit for policy imperatives.

The study uses unit-level data from the All-India Debt and Investment Survey of the 59th and 70th rounds of the National Sample Survey Office for the years 2002–2003 and 2012–2013. Cragg's double-hurdle model and the Heckman selection model are used to estimate the determinants of access to and the amount of institutional loans taken by households. These models also account for potential selection bias in the findings.

The study reveals that access to credit is strongly associated with the socioeconomic and demographic characteristics of agricultural households. However, about half of the farmers in the eastern states of India lack access to institutional credit despite the government's attempts to include them in the ambit of formal financial services. Thus, strategies for developing agriculture in Eastern India must include efforts to bring small and marginal farmers under the coverage of institutional credit.

These data are based on the responses given by the sample households and not the experimental data. The data pertain to the year 2013.

The findings emphasize that strategies for developing agriculture in Eastern India must give special push to enhance small and marginal farmers' access to institutional credit.

A fundamental concept of the smart city is to get the right information at the right place to make city-related decisions easier and quicker. The main goal of supply chain management (SCM) systems is to enhance the supply chain process for delivering the identified products to customers correctly in distributed organizations. In addition, new IT infrastructure such as cloud-based systems and internet of things (IoT) have changed many organizations and firms. Hence, this study aims to assess the factors that contribute to the success of SCM systems.

In this paper, the usage of urban knowledge, urban intelligent transportation systems and IT infrastructure was considered as a key factor for the success of SCM systems. For assessing the features of the model, a comprehensive questionnaire was designed. The survey questionnaires were sent to critical informers who are practical heads associated with SCM and urbanism. Of these, 315 usable responses were received, resulting in a response rate of 82.03%. The data were examined using Smart-PLS version 3.2 and IBM SPSS version 25.

The obtained results showed the high strength of the proposed model. This study found that the impact of urban ITS (safety, accessibility, information management and flexibility) is important to the success of supply chain management systems. Another important finding is that the cloud-based system (cloud security, resource virtualization, on-demand self-service and scalability) has a very important role in the success of supply chain management systems. The finding showed that the effect of IoT service variable (commercialization, mobility features, infrastructure capabilities and security and privacy) on the success of supply chain management systems is significant and positive. The findings also showed that urban knowledge (usage skills, awareness, experience and knowledge sharing) is viewed as a significant factor in the success of supply chain management systems.

The inductive nature of research methodology has introduced limitations on the generalizability of results. Therefore, it is recommended to examine the validity of this research model in other supply chains.

The statistical results support the crucial role of urban knowledge, urban intelligent transportation systems, IoT services and cloud-based systems. Therefore, aspects relating to these factors must be the focus of attention of any distributed organization in their endeavor to develop supply chain management systems. Implementing cloud based IoT through accurate and timely availability of information, can predict forecasting and planning processes, resources, logistics and support, service management and spare parts and many sub-processes in the supply chain. These technologies allow organizations to invest in manufacturing and operating processes rather than paying for the software section, which will generate more cash flow.

One of the most crucial and fundamental parts of an organization’s management is the supply chain management. The department is responsible for coordinating all units from the initial stages, such as supplying materials to the final stages, such as delivery and after-sales service. Comprehensive and credible information platforms are essential for managing a supply chain. Therefore, it is important to use integrated information systems such as IoT, cloud computing, intelligent transportation systems and more in this part of the organization management. Covering this information in a timely and accurate manner will facilitate the process and make the process more transparent. For this purpose, a model is needed to determine the relationship between technologies and supply chain management, which this study has provided a comprehensive model.