Category Archives: Strategic planning

Extending Canvas of Manufacturing Strategy: 8Ps Model

The purpose of this paper is to explore an extension to the classic 6Ps framework of Manufacturing Strategy (MS) suggested by Leong and Ward (1996). We utilize text mining of Leong and Ward’s citations and propose an extension to 8Ps of MS by incorporating the missing context dimension of strategy. The proposed 8Ps model of MS completes the triad of content, context and process dimensions of a strategy, enables the practitioner to visualize and formulate MS in a structured way towards enhancing firm’s competitiveness.

Author(s): Kulkarni Sourabh, Verma Priyanka, Mukundan R
Organization(s): National Institute of Industrial Engineering
Source: International Journal of Global Business and Competitiveness
Year: 2017

Forecasting potential sensor applications of triboelectric nanogenerators through tech mining

The Triboelectric Nanogenerator (TENG), invented in 2012, is an emerging energy harvesting technology that efficiently converts ambient mechanical energy into electricity. Much work has been done to develop this device and improve its performance. However, no systematic report about its applications through large-scale publication and patent data analysis is available. In this study, we use “Tech Mining,” a systematic analytical method based on structured texts applied to publication and patent abstract data, to analyze potential applications of TENGs. A series of applications from product scale to industry scale are identified. The findings show that when used as sensors, TENGs are mostly applicable in automation and energy-intensive industries such as automotive, medical or surgical devices, consumer electronics and household appliances. TENGs in the form of sensors can also be integrated with future-oriented and exponentially growing technologies such as robotics, drones, nanotechnology, and bioinformatics that will create enormous value for future economies. Moreover, applications of TENGs as sensors are also in line with current global trends of science and technology development, including the “Internet of Things,” big data, clean energy, and smart cities. Combined with those technologies and industries, TENGs can help in tackling challenges of global warming, environmental pollution and security systems. We suggest the TENG research community to widen interdisciplinary collaboration, pursue connections with industry, and file more patents as R&D progresses. In addition, research limitations and future development directions of TENG are pointed out.

Author(s): Haoshu Peng, Xudong Fang, Samira Ranaei, Zhen Wen, Alan L. Porter
Organization(s): Chinese Academy of Sciences, Xi’an Jiaotong University, Lappeenranta University of Technology, Soochow University
Source: Scientometrics
Year: 2017

Science-technology-industry correlative indicators for policy targeting on emerging technologies: exploring the core competencies and promising industries of aspirant economies

This paper seeks to contemplate a sequence of steps in connecting the fields of science, technology and industrial products. A method for linking different classifications (WoS–IPC–ISIC concordance) is proposed. The ensuing concordance tables inherit the roots of Grupp’s perspective on science, technology, product and market. The study contextualized the linking process as it can be instrumental for policy planning and technology targeting. The presented method allows us to postulate the potential development of technology in science and industrial products. The proposed method and organized concordance tables are intended as a guiding tool for policy makers to study the prospects of a technology or industry of interest. Two perceived high potential technologies—traditional medicine and ICT—that were sought by two aspirant economies—Hong Kong and Malaysia—are considered as case studies for the proposed method. The selected cases provide us the context of what technological research is being pursued for both fundamental knowledge and new industries. They enable us to understand the context of policy planning and targeting for sectoral and regional innovation systems. While we note the constraints of using joint-publishing and joint-patenting data to study the core competencies of developing economies and their potential for development, we realize that the proposed method enables us to highlight the gaps between science and technology and the core competencies of the selected economies, as well as their prospects in terms of technology and product development. The findings provide useful policy implications for further development of the respective cases.

Author(s): Chan-Yuan Wong, Hon-Ngen Fung
Organization(s): University of Malaya
Source: Scientometrics
Year: 2017

The global objective of sustainable development up to 2030 and the BRICS: the analysis of the feasibility and effectiveness of the synergies

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

Text mining to gain technical intelligence for acquired target selection: A case study for China’s computer numerical control machine tools industry

Technology strategy plays an increasingly important role in today’s Mergers and Acquisitions (M&A) activities. Informing that strategy with empirical intelligence offers great potential value to R&D managers and technology policy makers. This paper proposes a methodology, based on patent analysis, to extract technical intelligence to identify M&A target technologies and evaluate relevant target companies to facilitate M&A target selection. We apply the term clumping process and a trend analysis together with policy and market information to profile present R&D status and capture future development signals and trends in order to grasp a range of significant domain-based technologies. Furthermore, a comparison between a selected acquirer and leading players is used to identify significant technologies and sub-technologies for specific strategy-oriented technology M&A activities. Finally, aiming to recommend appropriate M&A target companies, we set up an index-based system to evaluate the acquired target candidates from both firms-side perspective and target firm-side perspective and differentially weigh for specific M&A situations. We provide an empirical study in the field of computer numerical control machine tools (CNCMT) in China to identify technology M&A targets for an emerging Chinese CNCMT company — Estun Automation under different M&A strategies.

Author(s): Tingting Ma, Yi Zhang, Lu Huang, Lining Shang, Kangrui Wang, Huizhu Yu, Donghua Zhu
Organization(s): Beijing Wuzi University, Beijing Institute of Technology, University of Technology Sydney
Source: Technological Forecasting and Social Change
Year: 2017

A hybrid method to trace technology evolution pathways: a case study of 3D printing

Whether it be for countries to improve the ability to undertake independent innovation or for enterprises to enhance their international competitiveness, tracing historical progression and forecasting future trends of technology evolution is essential for formulating technology strategies and policies. In this paper, we apply co-classification analysis to reveal the technical evolution process of a certain technical field, use co-word analysis to extract implicit or unknown patterns and topics, and employ main path analysis to discover significant clues about technology hotspots and development prospects. We illustrate this hybrid approach with 3D printing, referring to various technologies and processes used to synthesize a three-dimensional object. Results show how our method offers technical insights and traces technology evolution pathways, and then helps decision-makers guide technology development.

Author(s): Ying Huang, Donghua Zhu, Yue Qian, Yi Zhang, Alan L. Porter, Yuqin Liu, Ying Guo
Organization(s): Beijing Institute of Technology, Georgia Institute of Technology
Source: Scientometrics
Year: 2017

TeknoRoadmap, an approach for depicting emerging technologies

One of the biggest challenges for current enterprises is the adoption of emerging technologies as soon as these provide competitive improvements. In this sense, several types of technology forecasting and surveillance activities are present in their daily activity. From the academic point of view, technology forecasting activities involve the combination of methods of a diverse nature, with which the technology is depicted and its potential future paths are discussed. Within this conceptual framework, the present work aims at describing a novel approach, known as TeknoRoadmap, which combines bibliometrics and technology forecasting methods to depict emerging technologies. Thus, this contribution aims to widen the scope compared to those provided by previous works within the field, and to that end, the depiction of emerging technologies is provided based on two main elements, namely: the profile of the research activity; and a complete technology roadmap. The approach combines consolidated methods such as text mining and roadmapping, and novel ones such as web content mining, with special attention given to forecasting activities. The work provides a detailed description of the steps on which the approach is structured, as well as the results of one specific application to a cutting edge emerging technology: cloud computing.

Author(s): Iñaki Bildosola,Rosa María Río-Bélver, Gaizka Garechana, Ernesto Cilleruelo
Organization(s): University of the Basque Country (UPV/EHU))
Source: Technology Forecasting & Social Change
Year: 2017

Identifying R&D partners through Subject-Action-Object semantic analysis in a problem & solution pattern (full-text)

Today’s companies still rely heavily on expert knowledge rather than quantitative data with a systematic approach to effectively identify and choose Research and Development (R&D) partners. It is advantageous to identify and select potential R&D partners using a Problem & Solution (P&S) pattern. This paper presents a novel process for identifying R&D partners on the basis of solution similarities that assist technology managers in understanding the relationships between research targets. First, we choose a thematic dataset that contains problems and quantitative data with relative topic terms. Then, we extract Subject-Action-Object semantic structures in a P&S pattern from the dataset, and identify various solutions to a technical problem, with each as a subject. In addition, we provide correlation mapping to visualise the text characters and identify R&D partners. Finally, we validate the proposed method through a case study of the dye-sensitized solar cells sector.

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Author(s): Xuefeng Wang, Zhinan Wang, Ying Huang, Yuqin Liu, Jiao Zhang, Xiaofan Heng, Donghua Zhu
Organization(s): Beijing Institute of Technology
Source: Technology Analysis & Strategic Management
Year: 2017

A taxonomy of small firm technology commercialization

This article proposes a taxonomy of business models used by small, highly innovative firms focused on technology commercialization. Such firms disproportionately contribute to technological change in the US economy. The firms operate across industries and use a variety of technology platforms. Exploratory factor analysis of keyword occurrence on firm websites generated a taxonomy comprising: research organization; development stage biosciences; highly specialized component supplier; specialized subcontractor; product solutions providers; and service solutions providers. This framework provides entrepreneurs and policy makers with an overview of new technology commercialization paths tailored to small, innovative firms.

Author(s): Dirk Libaers, Diana Hicks, and Alan L. Porter
Organization(s): University of Missouri, Georgia Institute of Technology
Source: Industrial and Corporate Change
Year: 2016

Intangible Heritage and Gastronomy: The Impact of UNESCO Gastronomy Elements

The objective of this study is two-fold: on the one hand, to determine whether literature has studied the relationship between intangible heritage and gastronomy; on the other, we have explored the use of UNESCO-recognized elements for marketing purposes. Two research questions have been addressed: (a) Is there a specific definition of gastronomy as intangible heritage? and (b) can the UNESCO-recognized elements be used for marketing purposes? We have used a method that combines content analysis and network analysis via the identification and study of keywords. The results showed a definition of gastronomy as intangible world heritage would be required. We have also observed that the use of the UNESCO-recognized elements, for marketing purposes, could be an opportunity for differentiating place’s identity.

Author(s): María de Miguel Molina, Blanca de Miguel Molina, Virginia Santamarina Campos, María del Val Segarra Oña
Organization: Universitat Politecnica de Valencia
Source: Journal of Culinary Science & Technology
Year: 2016