A firm’s connections into its ecosystem influences its ability to innovate. Much research on innovation ecosystems has examined high technology firms and locations and has used interview, survey, or science and technology data methods. Our study focuses on a resource-based ecosystem—agri-food in a medium-sized region—and explores a novel method using media sources to identify ecosystem links. We use this method to capture the innovation ecosystem around two plant-based protein firms and a conventional food processor in Winnipeg, Canada. We extract organisational actors from the full text of business and news articles, link co-occurring actors in social networks, and use modularity partitioning to detect communities in these networks. Our results show that the focal agri-food firms vary in their ecosystem associations, with little duplication in the actor organisations across the different firms’ networks. The plant-based protein firm networks had a greater innovation orientation than was noticeable in the established food producer’s network, particularly with industry and civic association intermediaries, government, and other agricultural companies. Insights from using the method and implications of the findings are discussed.
Author(s): Jan Youtie, Robert Ward, Philip Shapira, R. Sandra Schillo, E. Louise Earl
Organization(s): Georgia Institute of Technology, University of Ottawa
Source: Technology Analysis & Strategic Management
The variations in Manufacturing Strategy (MS) definitions create confusion and lead to lack of shared understanding between academic researchers and practitioners on its scope. The purpose of this study is to provide an empirical analysis of the paradox in the difference between academic and industry definitions of MS. Natural Language Processing (NLP) based text mining is used to extract primary elements from the various academic, and industry definitions of MS. Co-word and Principal Component Analysis (PCA) provide empirical support for the grouping into nine primary elements. We posit from the terms evolution analysis that there is a stasis currently faced in academic literature towards MS definition while the industry with its emphasis on ‘context’ has been dynamic. We believe that the proposed approach and results of the present empirical analysis can contribute to overcoming the current challenges to MS design and deployment – imprecise definition leading to its inadequate operationalisation.
Author(s): Sourabh Kulkarni, Priyanka Verma, R. Mukundan
Organization(s): National Institute of Industrial Engineering
Source: International Journal of Production Research
The purpose of this paper is to identify the dimensions of organizational health with the help of existing literature and focus group discussion on organizational health. The study also tries to categorize various antecedents and consequences of organizational health.
Literature review was conducted with limited search word on organizational health using databases like Emerald, Ebsco and Science direct. Focus group discussions were performed at Central Salt and Marine Chemicals Research Institute and National Metallurgical Laboratory – laboratories of Council of Scientific and Industrial Research, an Indian R&D organization. A total of 29 male and 6 female respondents participated in the focus group discussion.
The results showed that various dimensions of organizational health which were found using focus group discussions were in congruence with the literature reviewed on organizational health. The findings of focus group discussion also listed the antecedents and consequences of organizational health in an R&D organization.
The literature presented conflicting views on organizational health construct. The focus group discussion provided clarity on the dimensions of organizational health. An empirical research can be done on organizational health considering dimensions identified during the focus group discussion.
Author(s): Anupama Singh, Sumi Jha
Organization(s): National Institute of Industrial Engineering
Source: Industrial and Commercial Training
The growing importance of destinations as loci for change in tourism systems has led to the recent accelerated growth of destination management and marketing (DMM) research. This paper conducts an integrated exploration of the structure and interconnections, and the dynamics of the recent growth of DMM research in terms of research fronts and trajectories. A quantitative, visualization-rich approach is proposed, based on bibliometric mapping networks comprising DMM-relevant articles extracted from 49 tourism journals published from 2005 to 2016. The results reveal a DMM structure consisting of 10 key clusters. Sustainable development, competitiveness of tourist destinations, destination development and innovation, and ICT/social media are found to have rapidly evolved as research fronts, while the more traditional research clusters on destination perception and tourist decision-making have developed more slowly. Significant interactions can be observed between management- and marketing-oriented research domains. At deeper levels of analysis, more diverse research trajectories stand out, including those focusing on destination governance; knowledge and experience-based analytical frameworks; service-related domains; subjective issues such as emotions, attachment, and identity; destination brand equity; and sustainability. The paper also shows that additional value will come from research that integrates up-to-now distant DMM topics. The results of this study can help policymakers, practitioners, and scholars understand the recent progress in, and the major trends shaping, the DMM research agenda.
Author(s): Alfonso Ávila-Robinson, Naoki Wakabayashi
Organization(s): Kyoto University
Source: Journal of Destination Marketing & Management
We explore the topic of leadership through a novel approach of analysing social science research literature called computer assisted research profiling (CARP) for ontological profiling. Our review revealed a domination by western approaches and perspectives, leading to some blind spots and skewness in understanding leadership processes, perspectives and research designs. There is a scope of organising leadership research and refining the conceptualisation of leadership in order to adequately include various differential aspects and perspectives of leadership. Often driven by existentialist positioning and unclear objectives, a synthetic integration of approaches result in more confusion. Furthermore, positivist paradigms emanating from the dominant worldview hardly leave space for indigenous approaches and perspectives. The paper suggests to bring ‘leadership research’ philosophically closer to advances in ‘fundamental research’ in physical sciences to benefit from each other. It suggests an integrative paradigm led multi-paradigmatic approach for leadership development by tapping into ancient traditions of the world.
Author(s):Puneet K. Bindlish, Sharda S. Nandram
Organization(s): Indian Institute of Technology, Nyenrode Business University
Source: International Journal of Technology Transfer and Commercialisation
The article contains analysis of renewed Sustainable Development Goals (SDGs) for the period up to 2030, characteristic of the development of cooperation among BRICS countries during Russia’s chairmanship in the union. It also relates to specific features of interaction of BRICS countries on environmental SDGs. Special attention is paid to the issue of climate change and its consequences in light of the decisions of Paris summit of 2015. In particular the article focuses on goals and tasks of BRICS countries related to climate change and response to it, decreasing emissions of greenhouse gases. The authors also consider the issues of and prospects for using renewable energy sources by BRICS countries, development of cooperation within the framework of BRICS Initiative on research and innovation .Qualitative approach is based on the literature review and consultations with the experts, while quantitative analysis includes collecting the news from Factiva database and processing it in Vantage Point software using bibliometric analysis and natural language processing.
Author(s): Korobov NL, Terentyev AA
Organization: National Research University Higher School of Economics
Source: BRICS Countries: development strategies and mechanisms for coordination and cooperation in a changing world. Proceedings of the First International Scientific and Practical Conference, INION, 2-3 November 2015
Innovations around “Big Data” can be characterized in terms of rapid technology development and deployment dynamics. For this purpose, combining “tech mining” (extraction of usable intelligence) from publication and patent databases with tech mining of business-related databases can elucidate activities and interests of business communities regarding Big Data innovation pathways. In this paper, we focus on commercially oriented databases — ABI/INFORM as a source from which to extract business intents. We select the database to help gauge “hot topics” in industry with regard to Big Data. Our results show that certain types of firms can be clustered into thematic groups relating to Big Data discussions and activities. In the paper we demonstrate that such analyses can illuminate themes being pursued by businesses. Like social media analyses, this text mining can provide useful intelligence to inform more in-depth investigation mobilizing other data sources and techniques.
Author(s): Ying Huang ; Jan Youtie ; Alan L. Porter ; Douglas K.R. Robinson ; Scott W. Cunningham ; Donghua Zhu
Organization(s): Beijing Institute of Technology, Georgia Institute of Technology
Source: 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom)
The transition of energy systems moving from non-renewable fossil-nuclear to renewable sources is a key challenge of climate mitigation and sustainable development. Green energy technologies can contribute to solutions of global problems such as climate change, growth of energy consumption, depletion of natural resources, negative environmental impacts, and energy security. In this article the prospective directions of technology development in green energy are studied and analyzed using a combination of qualitative and quantitative methods. Qualitative research involves participation of key experts in the field of green energy, while quantitative analysis includes collecting and processing data from different information sources (scientific publications, patents, news, Foresight projects, conferences, projects of international organizations, dissertations, and presentations) with a help of Vantage Point software. In addition, key challenges for green energy as well as its relationships with other technological and non-technological areas are identified and briefly described on the basis of expert and analytical results.
Author(s): S. Filippov, N. Mikova, and A. Sokolova
Organization(s): Energy Research Institute of the Russian Academy of Sciences and Higher School of Economics
Source: International Journal of Social Ecology and Sustainable Development (IJSESD)
Research Question: Who are the most prolific authors, universities in this field? What are the research themes? Which are the most important journals/conferences? Are there any research gaps in this field? What are the emergent streams of research in this field
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