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Collaborative Innovation Networks (COINS) are typically defined using individuals as nodes. Departments in organizations or higher order units can, however, be considered as forming COINs of interest. WORDij 3.0 software enables locating COINS at various levels of analysis including organizational departments. This paper reports on an analysis of i...
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Citations
... Another use of an include list of start words is for analyzing networks of entities such as countries, organizations, or individuals in news stories. For example, Danowski (2010) and Danowski and Cepela (2010a) used an include list of cabinet member's names to automatically map the social networks of the administrations of presidents, Reagan through G.W. Bush from the member co-mentions in the New York Times and Washington Post. Danowski (2012c) demonstrated using an include list of publics to examine change over time in Facebook's network of publics over 12 months. ...
Searching social media to find relevant semantic domains often results in large text files, many of which are irrelevant due to cross-domain content resulting from word polysemy, abstractness, and degree centrality. Through an iterative pruning process, Cascaded Semantic Fractionation (CSF) systematically removes these cross-domain links. The social network procedure performs community detection in semantic networks, locates the semantic groups containing the terms of interest, excludes intergroup links, and repeats community detection on the pruned intragroup network until the domain of interest is clarified. To illustrate CSF, we analyzed public Facebook posts, using the CrowdTangle app for historical data search, from February 3, 2020, to March 13, 2021, about the possible Wuhan lab leak of COVID-19 over a daily interval. The initial search using keywords located six multi-day bursts of posts of more than 500 per day among 95 K posts. These posts were network analyzed to find the domain of interest using the iterative community detection and pruning process. CSF can be applied to capture the evolutions in semantic domains over time. At the outset, the lab leak theory was presented in conspiracy theory terms. Over time, the conspiratorial elements washed out in favor of an accidental release as the issue moved from social to mainstream media and official government views. CSF identified the relevant social media semantic domain and tracked its changes.
... The second stage of WordLink runs was performed using an "include list" (Danowski 2010(Danowski , 2012Danowski and Cepela 2010;Danowski and Riopelle 2019), which produces a matrix of frequency counts for each country. Latent semantic analysis (LSA) (Dumais 2004) and principal components analysis extracted 30 dimensions whose factor scores were correlated with the ICT utilization factor. ...
Information and communications technology (ICT) research finds that greater utilization of ICTs leads to economic growth. This effect has led developing countries to implement initiatives to increase available infrastructure and its use. While ICT policy is a likely facilitator of increased ICT use, analysis of policy documents has been limited due to the difficulties of manual content analysis. Semantic network analysis of policy documents enables the identification of concepts associated with greater ICT use, which contributes to theory and offers policy guidance. This study combined text analysis with structural equation modeling to identify the semantic correlates of greater ICT utilization for 605 policy documents across 51 African countries. Our findings show that more abstract, analytical content is associated with greater ICT utilization, consistent with a communication and information processing model.
... News reports enable the extraction of network edges among entities (Kenis & Oerlemans, 2008). The edges are dyadic ties derived from their co-mentions across stories and represent networks of individuals such as political actors (Danowski & Cepela, 2010) or organizational departments (Danowski, 2010). Hu et al. (2017) argued that the co-occurrence of concepts in news articles-which we analyze in this study-captures intangible relatedness perceived by people. ...
Studying Information and Communications Technology (ICT) development is increasingly difficult because most advanced countries converge to similar network structures. However, developing countries still manifest meaningful variance in ICT development, affording theoretical elaboration on the nature of societal ICT processes. We examine the relationships between corruption, anti-corruption, interorganizational networks, and ICT development for 48 African countries. Previous studies observed that increased ICT development is associated with lower levels of corruption, although theory to explain this has yet to develop. In the context of interorganizational networks, we theorized that the degree of centralization-decentralization is a key variable in explaining ICT development. We found support for the proposition that there is less ICT development when corruption is high and interorganizational networks are more centralized. In contrast, there is greater ICT development as decentralization increases, coupled with more anti-corruption news. Nevertheless, media freedom was inconsequential regardless of the interorganizational network structure. Lastly, corruption was negatively related to economic growth.
... rough social network analysis, this paper constructs a collaborative innovation network for the collaboration in technological innovation, with each innovative subject as a node and each patent collaboration as an edge. e UCINET software [27,28] was used to analyze the overall and individual characteristics of the network, and the evolution characteristics of the innovation network were studied. e evolution characteristics of collaborative innovation network are analyzed with the following network structure indicators. ...
The sustainable development of an industry is an important topic of technological innovation. To unlock the path dependence of industrial development, it is critical to identify the evolution law of the industrial collaborative innovation network. Taking China’s nonferrous metal industry as an example, this paper establishes two collaborative innovation networks from the time and space dimensions, respectively. The networks cover both the macroenvironment and the microinnovative subjects of the industry and fully consider the collaborative relationships between these subjects. Through multilevel and multidimensional analysis, the authors drew the following conclusions: the macropolicies and technology paradigm can create a window of opportunity for the industry, which directly drives the breeding of new industries and the transformation and upgrading of traditional industries; the interaction between the macroenvironment and microinnovative subjects leads to the differentiation of the industrial innovation path; the provinces can enter the first echelon of interprovincial innovation collaboration and realize sustainable development of the industry through the unlocking path, which consists of path continuation, path expansion, path implantation, and path diversification.
... While the initial keyword search focused specifically on literature sorted by relevance that used the term cross-functionality (2,660 hits), other related terms were more specifically helpful as they narrowed down the search. These included terms such as "inter-functional collaboration" (235 hits; Canacott et al., 2018;Belasen and Rufer, 2014;Abraham and Reddy, 2010;Ashnai et al., 2019), "inter-departmental integration" (206 hits; Kahn, 1996) and "inter-departmental collaboration" (1,240 hits; Cuijpers et al., 2011;Danowski, 2010;Lee, 2020). Further terms identified included "organizational configuration" (3,490 hits; Lohmann and zur Muehlen, 2019; Mohsen and Eng, 2016) and "cross-group collaboration" (176 hits; Kwan, 2019). ...
Purpose
Structural and technological changes are driving functional reorganization in many organizations. To date, there are very few articles that explicitly, consistently and cumulatively focus on cross-functional integration. This paper aims to review and explore the literature that does directly address cross-functional integration.
Design/methodology/approach
The authors conducted a literature review within the general management domain for the time frame 2010 to 2020 and identified 71 relevant articles that provide an overview of current practices and trends.
Findings
This conceptual paper reviews this identified literature and outlines key trends, noteworthy articles and a summary of relevant theories, and provides an overview of outcomes linked to cross-functional integration in the literature. The paper concludes with a set of recommendations for practitioners and an outline of potential research areas for academic researchers, including a call for more theory integration, building and testing in the area of cross-functionality.
Originality/value
This paper is the first of its kind to attempt to summarize the literature on cross-functionality (published between 2010 and 2020), a currently very fragmented field of study spread out across different management disciplines.
... From individual efficiency on two stages, on the first stage of priority model, Shanghai's overall efficiency is low, mainly due to the low efficiency on the second stage, which is the main reason for Shanghai's low ranking on overall innovation efficiency in the 10 cities. Compared with another 9 cities, Shanghai was in scientific and technological resources endowment, regional environment, to go into detail on how important social network analysis has become across a wide landscape of disciplines [12]. In addition, we should vigorously promote the development of various investment methods, such as equity investment and angel investment, and encourage enterprises to adopt diversified financing methods. ...
... Driven by the collaborative product design, customer collaborative product innovation (CCPI) and corresponding collaborative networks attract more attention as a new model [72]. Furthermore, they study the essentiality model for customer churn and its ripple effects [73], importance evaluation method for innovative customer [74], the robustness and optimization method [75], the system stability and centrality analysis in CCPI system [76,77]. ...
... Finding: According to the classification and description, there are 10 papers (6.7% of selected papers) [68][69][70][71][72][73][74][75][76][77] on this topic. It takes customer knowledge and creativity as the most valuable innovation sources in collaborative product design. ...
In recent years, with the rapid development of manufacturing, information, and management technology, advanced manufacturing systems (AMSs) have become increasingly more and more complex, which hinders the wider applications of many key theories and technologies in AMSs. Fortunately, in the last two decades, some dramatic advances have been made in the field of statistical physics theories, along with the extensive applications of complex network. It has provided an alternative approach to analyze AMSs. Many recent studies have focused on the theory of complex networks to describe and solve complicated manufacturing problems. Based on a great number of relevant publications, this paper presents an up-to-date literature review with the identified outstanding research issues, future trends and directions. Three critical issues are summarized after this investigation: (a) the focused areas of AMSs that have deployed the theory of complex networks, (b) the addressed issues and the corresponding approaches, and (c) the limitations and directions of the existing works.
... We employ an event-based strategy for eliciting networks (Danowski, 2010;Davis, Gardner, & Gardner, 1941). This strategy identifies relationships between network members via their joint participation in an event and is common in network analysis of archival texts (Freeman & Romney, 1987;Knoke & Yang, 2008). ...
Well-resourced and well-connected individuals, or “policy entrepreneurs,” often play an important role in advocating and securing the adoption of policies. There is a striking lack of inquiry into the ways that social networks shape the ability of these actors to achieve their aims, including the ways in which network ties may channel policy conflict. To address these gaps, we analyze data from an original survey and an original database of policies to assess the success of policy entrepreneurs (PEs) active in a highly contentious arena: municipal policymaking concerning high-volume hydraulic fracturing (HVHF) in New York. We use text-mining to collect social network data from local newspaper archives, then use those data to construct municipal HVHF policy networks. Municipal anti-HVHF PEs appear more successful when they operate in less cohesive networks, act as bridges to relative newcomers to the governance network, and have a larger number of network connections. Pro-HVHF PEs appear more successful when they can forge high-value connections to key decision makers. Policy entrepreneurs on both sides of the issue are more successful when they have a greater number of sympathetic coalition partners.
... Since 1912 Schumpeter put forward the theory of innovation, scholars have been deepening the research for innovation, innovation theory continues to develop. Knowledge transfer is an important component in the process of collaborative innovation of IUR, which makes the knowledge circulate across innovation organizational boundaries [1] . This paper studies the process of collaborative innovation of industry-university-research from the perspective of knowledge transfer, constructs the SECI theoretical model of knowledge transfer under the cooperation mode of IUR, analyzes its internal operating mechanism, and puts forward corresponding countermeasures and suggestions. ...
... Businesses can use semantic network analysis in a variety of ways. They can map the relationships among departments that appear across company documents to show the functional structure [1] and compare it to the formal structure. Analysts can network analyze email in terms of who sends messages to whom [2] and further, what the network of concepts is across these messages [3][4] [5]. ...
... Another study [1] identified the networks of collaborating departments of a college for an accreditation review. The include list of department names and aliases was applied year by year to local news stories mentioning the college over a four-year period. ...
This research highlights a kind of semantic network analysis based on an include list. We analyze the networks only among words on the list as they appear in a series of text corpora word pairs for an organization. The example uses documents about Facebook over a 12-month period, dividing them into 12 time-based files. In each time slice we map networks among key publics and measure the centrality of each from one time period to the next. The network of publics becomes more complex across time. Publics fluctuate in centrality. We describe other kinds of semantic network analysis for business applications using include lists.
