Cross-industry Networks Research Articles

Analysis of Human Capital Social Network Model Based on Industry Distribution

As the most critical resource to promote the continuous growth of economic volume, human resources are indispensable to the development of the industry. With the development of market economy and the improvement of people’s pursuit of quality of life, the time of talent flow is increasing, which forms the social network of human capital. As a new stock, human capital social network can have an impact on individual thoughts or behaviors. This paper with a recruitment website workers repeatedly changes employment resume as the research object and uses literature research and empirical analysis based on human capital social network model analysis for the industry distribution of employment analysis and discussion. The results show that the IT internet industry in labor cross-industry network has high resource control and information advantage and has large correlation with other industries; traditional industry is limited; construction, leasing, and business services, electricity, heat, coal, and water flow frequency are the lowest; and the network structure is more stable.

Experimental networks for business model innovation: A way for incumbents to navigate sustainability transitions?

To navigate sustainability transitions, firms are often prompted to take an active role in business model innovation. Previous research has shown, however, that when attempting to change business models, incumbent firms frequently face challenges concerning the ambiguity of transition pathways. This paper is an inquiry into this intersection between business model innovation and sustainability transitions. Anchored in three case studies of sustainability-driven, pre-commercial projects of emerging technologies, it reveals how groups of organizations collaborate in time-limited, cross-industry networks, to explore potential business models for anticipated, profound, changes in socio-technical systems. Drawing on these findings, the paper introduces the concept of experimental networks and illustrates how experimental networks can facilitate business model innovation in relation to systemic change. By outlining the constituents of the experimental network concept, the paper contributes to theory by uncovering the interplay of interorganizational collaboration and network level business model innovation. In addition, it reveals how experimental networks constitute one way for incumbents to claim agency with respect to emerging sustainability transitions.

Exploring Urban High-Tech Landscapes to Overcome Standard Industrial Classification: A Cross-Industry Network Analysis in Paris and Toronto

Despite periodic updating, conventional administrative datasets and industry codes often fail to provide classifications for services and the emerging industries of the twenty-first century. For researchers, these data challenges present particular barriers to understanding the nature of business activities. For policymakers, these information gaps feed through into policy gaps, which can limit the ability to design effective interventions to encourage local entrepreneurship and innovation in high-technology sectors. The present paper worked with non-traditional data sources to avoid current classification systems. Using metadata about high-tech firms from CrunchBase, this paper studied the structure of cross-industry landscape, individual network characteristics, and major technological complementarities of high-tech industry networks. We investigate two of the most promising high-tech hubs, Paris and Toronto, to explore the potential of such approach. Results shed light on the complex networks of cross-sectoral horizontal and vertical linkages that characterize the two hubs and help policy makers and venture capitalists to deeply understand the business landscape of high-tech local companies.

Listed Companies’ Networks and Firms’ Auditing Behaviors: Evidence from Textual Analysis on Annual Report

China is a highly relationship-based economy. The widely-used relationship-based transactions form the structure of the capital market and the behaviors of information intermediaries. Theoretically, the company’s networks have an impact on auditing behaviors in three ways. First, the company’s networks increase the difficulty of evaluating the company’s specific investments. Second, the members within the same network repeat certain transactions indefinitely. Third, the company’s networks also make a broader scope of its stakeholders, which may increases the externality of its transactions. However, the company’s networks also provide more information sources for the auditors, which increase the informativeness of the financial report. Thus, this paper predicts that the company’s networks would increase the audit fee and earnings quality. Empirically, this paper investigates how the company’ networks affect auditing behaviors by using textual analysis on annual reports of all the Shanghai and Shenzhen A share listed companies from 2001 to 2012. We measure the networks of each company by using the number of network nodes from each company’s financial report with textual analysis. The empirical results show that the company’s networks increase the audit fee. The fee premiums are even larger for the company’s local networks and cross-industry networks. However, we don’t find any results of the network coefficient on earnings quality. In addition, further analysis shows that earnings quality is higher when the company has larger local networks and larger intra-industry networks. This finding suggests that it is difficult for auditors to understand the cross-province and cross-industry networks of the company. Further cross-sectional analysis shows that the effects of the company’s networks on fee premium and earnings quality are larger with more transparent information environment including more open local market, larger size of auditing firms, and more analyst following. Overall, this paper provides some empirical evidence to the relational contract theory from an auditing perspective, by using the data of the company’s networks to investigate how relational contracts affect auditing behaviors. This paper also has potential implications for the network study, as it offers some new mythologies to measure the company’s networks by using textual analysis.

Openness and front end of innovation: does customer type matter?

PurposeThis paper aims to study the moderating effect of customer type (business customers versus private customers) on the link between two forms of openness (cross-industry networks and customer integration) and two front-end innovation outcomes (a creative idea and a product definition), in the context of radical innovations.Design/methodology/approachAn agreement was established with the Statistical Office of the Basque Government. This agreement enabled us to access a reliable list of innovative companies in the region that constituted our sample frame. Questionnaires were collected by phone. The response rate was 41.6%, which led to a sample size of 189 firms. Structural equation modeling was used to analyze the data.FindingsThe study reveals that idea creativity is explained by different external drivers in business-to-business (B2B) and business-to-customer (B2C) settings. In B2B settings, customer integration is found to have no effect on idea creativity. For product definition, however, both the external drivers, namely, cross-industry networks and customer integration, matter, although the latter is more salient.Practical implicationsIn the search for creative ideas, managers of firms that serve business customers should focus on cross-industry networks, while those that serve private customers should concentrate on customer integration.Originality/valueMost previous quantitative studies on the front end have focused on internal drivers, and some of them use a mix of B2B and B2C data, which could lead to misleading conclusions.

Circular economy meets industry 4.0: Can big data drive industrial symbiosis?

Cross-industry networks of multiple supply chains have evolved in the circular economy model using approaches such as industrial and urban symbiosis. However, the implementation of such sustainable industrial networks with matrix-like structures is not straightforward. Despite the clear benefits of big data-driven industrial symbiosis, corporates have noted that social, environmental and economic perspectives are also highly appreciated in the cross-industry networks. Moreover, gaps remain in operational data-driven and recycle, reduce and reuse optimization solutions, which may be the key components of industrial symbiosis practices.

Dynamic Competitive Behavior of Enterprises in Multi-Network: Evidence from Chinese Animation Industry

In this study, we try to reveal the mechanism of the enterprise competitive strategies embedded in multi-network as the intermediary role between the three kinds network relationships and performance, in order to answer such question: what kind of network relationships can enterprise relies on and choose a speculate competitive strategies for sustainable development? This research chose the Chinese animation enterprises as samples. We collect data from questionnaires to Guangzhou Animation Association and such an opportunity of the 2014 Guangzhou International Cartoon Festival (2014CICF) and testified the mediation effects of three competitive strategies between different dimensions of networks and firm performance. Results of this study indicated the mediating role of the three kinds of competitive strategies between the multiple network connection and performance. 1) Confrontation strategy has a mediating impact between inner-industry network and performance, so as between cross-industry network and performance. 2) Barrier strategy has played a mediating role between inner-industry network and performance, so as between government-relation network and performance. But barrier strategy fails to play roles between the cross-industry network and performance. 3) Symbiosis strategy has played an incomplete mediating role on the relationship between inner-industry network and performance, so as between government-relation network and performance. This study introduced the context of the dynamic competitors to promote the development of dynamic competition theory. Adopting the perspective of multi-network to the study of the dynamic competitive strategy in this paper is put forward to fill the gap between the dynamic competitive behavior and the corporate strategy.

Analysis of the State of E-commerce in Algeria

This paper focuses on investigating and analysing the state of e-commerce in Algeria, determining the nature of the barriers that are preventing the country from taking off as expected and proposing some solutions based on Porter's diamond model of national competitive advantage. This incorporates cross-industry institutions and networks as key determinants of national competitive advantage. Following Porter's model, Algeria has made progress in building the technical infrastructure for e-commerce, but it still suffers from a lack of a comprehensive regulatory framework and poorly developed supporting institutions and social networks. While e-commerce in Algeria is still in its initial stages compared to other developing countries, there is great potential for rapid and sustainable growth in the coming years.

Preparing for distant collaboration: Antecedents to potential absorptive capacity in cross-industry innovation

Cross-industry innovation entails distinctive innovation opportunities and challenges according to the knowledge heterogeneity between the collaborating firms. This heterogeneity yields increases in organizational-level cognitive distance. Whereas recent theory suggests cognitive distance is positively related to exploratory innovation, too much distance can hinder efficient knowledge absorption and results in a reduced effect on novelty value. This paper focuses on the research question of how to build potential absorptive capacity for distant collaboration beyond established industry boundaries to gain radical rather than incremental results. To address this question, we mapped a cross-industry network using survey data on 215 bilateral cross-industry collaborations between firms from a variety of industries and captured cognitive proximity (the inverse of distance) in terms of overall knowledge redundancy between firms. This approach introduces a new method to infer organizational-level cognitive distance from network analysis. Subsequently, based on results from the network analysis, we examined coordination antecedents to potential absorptive capacity for cross-industry innovation with partners at moderate and high distance applying case study analysis. Our study revealed three alternative approaches to coordination antecedents that drive a firm׳s potential absorptive capacity for distant collaboration. These findings extend research on absorptive capacity to the field of cross-industry innovation.

A Structural Analysis of Media Convergence: Cross-Industry Mergers and Acquisitions in the Information Industries

This article analyzes structural changes in the information industries including publishing, broadcasting, film, cable, telephony, software and data processing, and the Internet in the era of "convergence" before and after 1996. The cross-industry network structure was mapped using annual data on mergers and acquisitions among information industry firms obtained from the Journal of Mergers and Acquisitions. A comparative network analysis of these ownership transactions indicated that the consolidating structure of information industries after 1996 was affected by both deregulation and digitization, and that telephone corporations played the most central role in the transformation of the information industries. As well, cable and Internet industries noticeably transformed their industrial relations over this time period.

Constraints on E-commerce in Less Developed Countries: The Case of China

We suggest a revised framework based on Michael Porter's Diamond of National Competitive Advantage that can be applied in examining development of e-commerce in less-developed countries. This incorporates cross-industry institutions and networks as key determinants of national competitive advantage. Using this framework we show that China has made significant progress in building the technical infrastructure and regulatory framework for e-commerce. However, it suffers still from poorly developed institutions and social networks. These are crucial in moving into the second phase of development of electronic commerce where the technologies are integrated into existing industries.