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Collaborating with consumers during new product development can provide companies with significant benefits and competitive advantages. Although several studies have been conducted on the design of co-innovation platforms, there is still a need for a more comprehensive understanding of the co-innovation phenomenon. To address this gap, this research aims to identify the critical success factors of co-innovation platforms and provide an extensive analysis of the variables that determine their effectiveness.

This study presents a systematic literature review of co-innovation platforms based on an analysis of 89 articles published in 50 scholarly journals in the disciplines of information systems, marketing and business, covering the years from 2006 to 2022.

The review synthesizes the current state of scientific knowledge and groups prior studies thematically as critical success factors of co-innovation platforms. As a result, eight success factors have been identified in terms of quantity and quality of contributions. These factors include product involvement, perceived fairness, sense of community, interactive environment, employee involvement, participant diversity, assessment structure and task design.

The study consolidates existing research about the critical success of co-innovation platforms. It also provides a research framework that incorporates a diverse set of variables that can be used to assess co-innovation performance in future studies.

Effective cooperative communication and knowledge management capabilities are particularly important in the cross-team cooperation. Based on the social exchange theory, this paper aims to further explore the role and influence mechanism of cooperative communication and knowledge sharing on co-innovation performance in open innovation projects (OIPs).

This paper takes China’s high-tech enterprises as the research object by using a paired questionnaire survey based on 168 pairs of OIPs. Hayes’ PROCESS programme and the bootstrap technique are used to test the hypothesis model and the significance of the mediation effect.

This study finds that cooperative communication is an effective mechanism for the internal and external interaction of OIPs. Knowledge sharing plays an intermediary role in the relationship between cooperative communication and co-innovation performance; both explicit knowledge sharing and tacit knowledge sharing have a significant positive impact on co-innovation performance. And the impact of cooperative communication on co-innovation performance is based on effectively promoting the knowledge sharing of partners.

This research incorporates cooperative communication, knowledge sharing and co-innovation performance into a unified research framework to study the co-innovation at the project level, enriches the research scenario on the mechanism of cooperative behaviour, deepens the understanding of the role and influence mechanism of cooperative communication and knowledge sharing on co-innovation performance in OIPs, verifies the mediating role of knowledge sharing to co-innovation, and also helps extend the social exchange theory to a new research setting.

At the forefront of current research is the investigation of how big data analytics capability (BDAC) and artificial intelligence capability (AIC) can enhance performance in concert. Therefore, current study intended to conduct more deep research into emerging phenomena and attempts to cover the gap by exploring how entrepreneurial orientations (EO) emphasize the use of two emerging capabilities under the moderating role of environmental dynamism which in turn augment co-innovation and hotel performance.

Data were collected from four-star and five-star hotels located in Kula Lumpur and Langkawi in Malaysia. A total of 260 responses were obtained from IT staff and senior managers with the assistance of a Manpower agency for data analysis. The hypotheses were examined by analyzing the data using PLS-SEM technique through Smart PLS 3 software.

The result revealed that EO has a positive and significant effect on co-innovation (CIN). Additionally, the BDAC and AIC have been tested and proven to be potential mediators between EO and CIN. Also, environmental dynamism as moderator has positive and significant effect on BDAC and co-innovation performance, however, not significant impact on AIC and co-innovation performance. Lastly, findings displayed positive and significant moderated mediation impact of environmental dynamics on BDAC and CIN with hotel performance, but not significant influence on AIC and co-innovation with hotel performance. For theoretical corroboration of the research findings, the current study integrated EO, resource-based view theory and contingent dynamic capabilities (CDC), because neither single stance can explicate an extant research framework.

This study anticipated the several implications for the entrepreneurs of hospitality industry. Managers are recommended to invest in the entrepreneurial traits of the employees/organizations and make strategic readjustment of their capabilities for sustained business performance.

The study goes beyond the normal inquiry by investigating moderated mediation impact of environmental dynamism between two emerging capabilities, co-innovation and hotel performance relationships. Another novelty of this study is to culminate the exploitation and adoption of emerging IT-based capabilities in cross domains of management, entrepreneurship, information systems management within the hotel industry.

The discussion on co-innovation inhibitors usually focuses on external actors’ opportunism, related to the loss of intellectual property. However, from the organizational Machiavellianism perspective, inhibitors are not external as the company itself is a source of constraints. Unfortunately, there is a lack of research studies examining the possible negative impact of organizational Machiavellian behavior such as amorality or distrust and desire for control, which could destroy external partners’ trust and commitment. This paper aims to analyze the effect of organizational Machiavellianism on the relationship between co-innovation and innovation performance (product and process innovation).

Structural equations were used to test the research model using survey data from a sample of companies located in an emerging country with a high risk of corruption.

Surprisingly, distrust and desire for control do not moderate the relationship between co-innovation and innovation performance, but do have a positive and direct effect on innovation performance. Conversely, amorality has a negative moderating effect on this relationship.

The study reveals that amorality is an evident constraint of the positive impact of co-innovation, as it diminishes the amount and quality of external actors’ contributions in terms of new ideas and knowledge. In contrast, distrust and desire for control alert the firm about opportunistic behavior by external partners such as technology providers, who may induce the firm to adopt an inadequate technological standard in line with their commercial interests.

Digital service innovation (DSI) is a type of technological innovation that is recognized in practice in the innovation structure of companies. Given the breadth of digital technologies that enable digital services and the variety of these services, analysis is needed to discern the nature of these services, as well as the process that culminates in co-innovation. The literature on DSI is fragmented and spread across multiple research areas. This fragmentation impedes conceptualization of the elements that constitute DSI. This paper describes the nature of DSI through the process and elements of initiation, adoption and routinization of DSI in the context of digital service platforms (DSPs).

This paper presents a single exploratory case study of a provider of a leading digital solution in customer relations. The data analysis is based on abductive reasoning.

The paper conceptualizes the nature of DSI and describes the process and elements of DSI (phases, actors, functions and interactions). It contributes to building a common language for DSI research in service management. The analysis shows that DSI in DSPs is synonymous with co-innovation. This paper offers insight into how co-innovation occurs, using hybrid agile methodologies with the coordination of multiple actors and multilateral interactions.

The originality and value of the study reside in its conceptualization and analysis of what is meant by DSI. The components of the service and the technological requirements for not only provision but also ideation and development appear to be inseparable. The study unveils the mechanisms that turn a digital service solution into a co-innovative proposal. This knowledge can facilitate scalability in digital services.

Digital technology is increasingly important in enhancing organizational agility (OA). Institutional theory and resource-based view were harmonized to analyze firms' adoption of digital technologies. However, previous studies on OA have revealed that external pressures imply the imposition of barriers or technological standards that ultimately restrict OA. This study employs this double theoretical lens to investigate the mediation role of business analytics capability (BAC) in the relationship between co-innovation (CO), i.e. open innovation in digital platforms, and OA, as well as the negative moderating effect of external pressure for artificial intelligence adoption (EPAIA) on this mediation.

Structural equation modeling was used to test the moderated mediation with survey data from 229 firms.

The main result indicates that 72% of OA variance is explained by the effect of CO that is transmitted by the mediator (BAC). However, contrary to the authors' expectations, EPAIA only has a positive moderating effect along the path between BAC and OA.

This work contradicts the prevalent notion of the negative consequences of external pressures for artificial intelligence adoption. Specifically, this study's findings refute the notion that institutional pressures are the source of technical problems that disrupt CO and BAC integration and reduce OA. In contrast, the unexpectedly positive effect of EPAIA may indicate that this type of external pressure can be viewed as a significant sign and an opportunity for the company to adopt the industry's most advanced and effective digital transformation practices.

Green innovation in supply chains is crucial for socioeconomic development and stability. Factors that influence collaborative green innovation in the supply chain are complex and diverse. Exploring the main influencing factors and their mechanisms is essential for promoting collaborative green innovation in supply chains. Therefore, this study analyzes how upstream and downstream enterprises in the supply chain collaborate to develop green technological innovations, thereby providing a theoretical basis for improving the overall efficiency of the supply chain and advancing green innovation technology.

Based on evolutionary game theory, this study divides operational scenarios into pure market and government-regulated operations, thereby constructing collaborative green innovation relationships in different scenarios. Through evolutionary analysis of various entities in different operational scenarios, combined with numerical simulation analysis, we compared the evolutionary stability of collaborative green innovation behavior in supply chains with and without government regulation.

Under pure market mechanisms, the higher the green innovation capability, the stronger the willingness of various entities to collaborate in green innovation. However, under government regulation, a decrease in green innovation capability increases the willingness to collaborate with various entities. Environmental tax rates and green subsidy levels promote collaborative innovation in the short term but inhibit collaborative innovation in the long term, indicating that policy orientation has a short-term impact. Additionally, the greater the penalty for collaborative innovation breaches, the stronger the intention to engage in collaborative green innovation in the supply chain.

We introduce the factors influencing green innovation capability and social benefits in the study of the innovation behavior of upstream and downstream enterprises, expanding the research field of collaborative innovation in the supply chain. By comparing the collaborative innovation behavior of various entities in the supply chain under a pure market scenario and government regulations, this study provides a new perspective for analyzing the impact of corresponding government policies on the green innovation capability of upstream and downstream enterprises, enriching theoretical research on green innovation in the supply chain to some extent.

Dissolving industry boundaries, coupled with an increasing need for collaboration and mutual adaptation, necessitates the adoption of diverse innovation concepts and flexible management practices. While organizations are striving to be agile and receptive, prioritizing flexibility over meticulous planning, the strategies required to achieve these outcomes remain underdeveloped.

Between 2019 and 2022, 100 peer-reviewed papers were reviewed to identify 68 agile practices, forming the basis for the classification. A conceptual-to-empirical approach led to the framework's development, involving 40 expert interviews and nine focus groups with participants from different countries from 2020 to 2023. These interactions validated the framework's dimensions and real-world applicability.

The study revealed that inter-organizational agility serves as a catalyst, effectively harmonizing open and frugal innovation to address market and customer constraints. This framework offers managers a valuable tool for navigating uncertainties and ambiguities and creating and capturing value within open innovation ecosystems that go beyond transient competitive advantages.

The case study suggests co-innovation and bricolage as novel managerial capabilities that foster innovation, mainly when supported by inter-organizational agility. It provides insights into distinguishing between various forms of agility through a multidimensional framework.

The study provided crucial insights into the necessity for agility in complex and uncertain environments. Through the integration of frugal and open innovation approaches in co-innovation, inter-organizational agility is presented as a framework for achieving both transient competitive advantage and sustainable innovation power.

Today social media capabilities have enabled businesses and enterprises to more collaboration, engagement and co-creation with their customers. So the current paper expands on this notion. The aim of this study is a bibliometric analysis to examine the trends of publications in the field of co-creation based on social media.

To data collection of quantitative analysis, Scopus database was selected and the collected data were analyzed using Bibliometrix-package. The Web of Science also was selected to retrieve highly cited and hot papers for qualitative part of analysis besides top 10 Scopus highest citation per year documents on June 6, 2020.

The results indicate insights into research trends pertaining to social media-based co-creation, as follows: starting jump to the publications occurred in this researches from the year 2008 and the growth trend is progressing in recent years; the stressful points are “co-design,” “co-creation” and “value co-creation” and concepts such as “open innovation,” “co-innovation” and “co-new product design” are new topics that guide future direction; the USA and UK are leaders in number of multiple and single publications; the most active and top journals that are better suited to achieving a high citation rate per year for a related paper were introduced. In addition, the top documents and highly cited papers were qualitatively analyzed on the basis of times cited per year.

The current study is not free of limitations. The database was limited to only Scopus. So the patterns and trends generated in the study may not be generalized to all social media-based co-creation research. Of course, the authors did not intend to ignore other contributions. It is mainly because of the number of documents retrieved from Scopus database and the coverage, Scopus was selected. Moreover, other types of research techniques such as correspondence analysis can be incorporated to generate additional meaningful insight.

In this time of social media and user-generated content portals, co-creation through social media has become quite popular. So the main innovation of this study is providing a visual presentation of the trends and patterns in the evaluation of social media-based co-creation from the first document about the research area published till 2020. The results of this paper can shed light on the factors that strengthen the contribution of studies in a research area. Generally, the bibliometric items the authors analyzed essentially show the entire field picture and guide researchers toward understanding future trends to produce impactful studies.

Food-related innovations might contribute to a qualitative leap in the transition to sustainable food systems. In this article, the authors map the existing literature on food and innovation in order to identify and systematise major research streams and relate them to current discussions on sustainability. The authors rely on a broad definition of innovation covering specific technological innovations as well as social, environmental and system innovations.

The authors analysed the relationship between innovation and food through bibliometric and content analysis, augmented with visualisation based on data (N = 7,987) extracted from the Web of Science. The published volume, research areas and influential journals were investigated using descriptive analyses.

This review categorises the literature on innovation and food into six main clusters, showing that most of the studies are carried out at the macro-level related to the global sustainable food systems. Network visualisation allowed them to distribute recent keywords associated with innovation across the agri-food value chain. Moreover, the authors identified environmental, social and economic pillars of innovation, which not only relate to sustainability but also are associated with open innovation as well as social innovation and eco-innovation.

This bibliometric analysis is amongst the first to examine the holistic knowledge structure surrounding a triple concept of innovation, food and sustainability. In addition, the study identifies research gaps and indicates new research directions, which add further value.