A structured MPA approach to explore technological core competence, knowledge flow, and technology development through social network patentometrics

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kuei-Kuei Lai ◽  
Hsueh-Chen Chen ◽  
Yu-Hsin Chang ◽  
Vimal Kumar ◽  
Priyanka C. Bhatt
Keyword(s):  
Technology Development ◽  
Knowledge Flow ◽  
Industrial Technology ◽  
Integrated Analysis ◽  
Strategic Decisions ◽  
Content Type ◽  
Technology Knowledge ◽  
Main Path ◽  
Core Technology ◽  
Internal Core

Purpose This study aims to propose a methodology by integrating three approaches, namely, internal core technology, external knowledge flow and industrial technology development to help companies improve their decision-making quality for technology planning and enhance their research and development (R&D) portfolio efficiency. Design/methodology/approach The primary focus of this study is thin-film solar technology and patent data is retrieved from the United States Patent and Trademark Office (USPTO) database. This study presents a methodology based on the proposed integrated analysis method, constructed with patent indicators, centrality analysis of social networks and main path analysis. Findings The results of this study can be itemized as – the core technological competency: companies involved in two specific technology fields have lower strength in R&D portfolio than leading companies with single-core technology. Knowledge flow: most companies in a network are knowledge producers/absorbers and technological development: diverse source and sink nodes were identified in the global main path during 1997-2003, 2004-2010 and 2011-2017. Research limitations/implications Latecomer companies can emulate leaders’ innovation and enhance their technological competence to seek niche technology. Using the global main path, companies monitor outdated technologies that can be replaced by new technologies and aid to plan R&D strategy and implement appropriate strategic decisions avoiding path dependency. Originality/value The knowledge accumulation process helps in identifying the change of position and the role of companies; understanding the trend of industrial technology knowledge helps companies to develop new technology and direct strategic decisions. The novelty of this research lies in the integrated approach of three methods aiding industries to find their internal core technical competencies and identify the external position in the competitive market.

scholarly journals An exploratory study on the determinants of performance in regional industry technology development programs

2017 ◽  
Vol 11 (2) ◽  
pp. 125-143 ◽  
Author(s):  
Choo-Hui Park ◽  
Jin-Kyo Shin
Keyword(s):  
Economic Performance ◽  
Collaborative Research ◽  
Industrial Development ◽  
Technology Development ◽  
Support Programs ◽  
Industrial Technology ◽  
Development Programs ◽  
Content Type ◽  
Large Corporations ◽  
Development Tasks

PurposeThe purpose of this paper is to analyze the determinants of the performance of regional industrial technology development programs among the regional strategic industrial development program that the central government and Daegu metropolitan city jointly promoted between 2004 and 2012. Specifically, in this research, the authors are trying to identify the effects of R&D capabilities and technical development tasks on technological and managerial performance. Design/methodology/approachThe dependent variables of this study are technical and economic performance. Technical performance, product and process innovation, economic performance, sales and export increases were measured using five-point Likert scales. The authors added the contribution of sales through technology development to economic performance. The independent variable is the company’s R&D capability, measured by the number of R&D staff compared to the average total number of employees from 2004 to 2012. The characteristics of the technology development tasks were measured by technical characteristics, market characteristics and collaborative research types. The technological characteristics were measured by seven factors, including technological change, technical difficulty, potential in commercialization, competition between domestic and foreign competitors, difficulty in introducing overseas technology and the technological gap. Market characteristics were largely divided into complexity, dynamics and competitiveness. The types of collaborative research were divided into whether or not there were collaborative research with the participation of large corporations. The control variables are firm size (number of employees) and firm age. Regression analysis was used to analyze the determinants of performance, and a difference analysis was conducted to determine the effect of collaborative research on performance. FindingsThe main determinants of the regional industrial technology development program performance are the characteristics of the technology development task rather than the internal R&D capability; moreover, the technical characteristics, complexity of the developed product market and participation of large corporations had significant effects on R&D capability. The R&D capacity of firms in internal R&D capacity had a significant effect only on the improvement of technology development ability. Therefore, R&D capacity, which is the main determinant of technology innovation, did not have a significant effect on the performance of short-term technology development tasks. Technological change, technological difficulty, competition between domestic and foreign competitors and the technological gap had positive effects on performance, excluding sales contributions. In addition, the complexity of the developed product market such as the diversification of demand, competitive product and sales distribution channels had positive influences on the performance of technology development programs, unlike dynamics and competitiveness. In this study, the authors cannot confirm the effect of collaborative research on the performance of the technology development programs, but they confirmed that collaborative research involving large corporations had a positive influence on performance. Research limitations/implicationsThe results of the analysis of the determinants of regional industrial technology development programs suggest some implications in the future evaluation of these regional industrial technology development programs. It is necessary to review the application qualification and merit, advance review of the business plans and confirmation, an examination of the research results and performance of the applicants and a review of the technology and market situation of the project. For this, the authors suggest that the written review from the relevant technical experts be submitted to the evaluation committees. Also, when establishing regional industrial development programs, they should be evaluated thoroughly, including detailed information and contents about the technical and market characteristics of the local industry. Originality/valueThis research is one of the first to investigate the achievements of R&D support programs among regional industrial development programs in Korea. The results of this study can substantially contribute to the development and implementation of the R&D support policies of the central and local governments. Furthermore, the findings suggest guidelines for improving the performance of R&D support programs in the future. A theoretical model for enhancing the efficiency of government R&D support programs may be established, and an empirical analysis may be conducted to provide practical and academic implications for further research.

Models of Development Based on Technology Diffusion

2012 ◽  
pp. 117-131 ◽  
Author(s):  
O. Golichenko
Keyword(s):  
Knowledge Transfer ◽  
Technology Diffusion ◽  
Technology Development ◽  
International Competition ◽  
Global Knowledge ◽  
Technology Knowledge ◽  
Catching Up ◽  
Technological Potential ◽  
Models Of Development ◽  
Effective Use

The problems of multifold increase of technological potential of developing countries are considered in the article. To solve them, i.e. to organize effectively tapping into global knowledge and their absorption, the performance of two diffusion channels is considered: open knowledge transfer and commercial knowledge transfer. The models of technological catching-up are investigated. Two of them are found to give an opportunity of effective use of international competition and global technology knowledge as a driver of technology development.

Developing ASEAN India partnership for fostering technology development

2015 ◽  
Vol 7 (2) ◽  
pp. 205-218
Author(s):  
Sunil Sahadev ◽  
Pongsak Hoontrakul
Keyword(s):  
Technological Innovation ◽  
Policy Development ◽  
Technology Development ◽  
Trade Flow ◽  
Secondary Data ◽  
Trade Agreement ◽  
Content Type ◽  
Conceptual Paper ◽  
Broad Policy ◽  
Practical Implications

Purpose – This conceptual paper aims to discuss issues relevant to fostering cooperation between India and countries in the ASEAN region in the area of technological innovation. Design/methodology/approach – This is a conceptual paper, based on insights from the existing body of literature and secondary data. Findings – The study looks at the competitiveness of different countries in the ASEAN region and considers their technological competitiveness vis-à-vis India. Broad policy issues related to fostering technological innovation as well as the main advantages of such collaboration are discussed. Research limitations/implications – This is a conceptual paper mainly intended for discussion. Practical implications – The paper provides guidelines for fostering technological innovation and could, therefore, help policy development. Originality/value – Although the Indo-ASEAN free-trade agreement is helping trade flow between the countries in the region, the potential for technological collaborations still lies unutilised. This paper looks at the possibilities for such collaborations and is one of the few papers that consider this line of thinking.

scholarly journals Identification of Technology Diffusion by Citation and Main Paths Analysis: The Possibility of Measuring Open Innovation

2021 ◽  
Vol 7 (1) ◽  
pp. 104
Author(s):  
Wei-Hao Su ◽  
Kai-Ying Chen ◽  
Louis Y. Y. Lu ◽  
Ya-Chi Huang
Keyword(s):  
Research And Development ◽  
Technology Development ◽  
Surgical Navigation ◽  
Future Research ◽  
Integrated Analysis ◽  
Reference Network ◽  
Research Topics ◽  
Academic Literature ◽  
Development Trajectory ◽  
Historic Development

This study collected literature on augmented reality (AR) from academic and patent databases to plot the historic development trajectory of AR and forecast its future research and development trends. A total of 3193 and 13,629 papers were collected from academic and patent databases, respectively. First, a network was established using references from the academic literature; main path analysis was conducted on this reference network to plot the overall development trajectory. Subsequent cluster and word cloud analyses revealed the following five major groups of AR research topics: AR surgical navigation applications, AR education applications, AR applications in manufacturing, AR applications in architecture, and AR applications in visual tracking. Subsequently, the relationships between the overall development trajectory and the five AR research topics were compared. Next, the title and abstract of AR-related academic and patent papers were subjected to text mining to identify keywords with a high frequency of occurrence. The results can provide a reference for industry, government, and academia when planning future development strategies for the AR field. This research adopted an integrated analysis procedure to plot the trajectory of AR technology development and applications successfully and effectively, predict future patent research and development directions and produce technological forecasts.

Innovation policy-making in the upstream oil and gas industry as a large technical system under economic transition

2019 ◽  
Vol 11 (1) ◽  
pp. 107-128
Author(s):  
S. Sepehr Ghazinoory ◽  
Shiva Tatina ◽  
Mehdi Goodarzi
Keyword(s):  
Policy Making ◽  
Q Methodology ◽  
Oil And Gas ◽  
Technology Development ◽  
Economic Transition ◽  
Innovation Policy ◽  
Oil And Gas Industry ◽  
Technical System ◽  
Content Type ◽  
Innovation And Technology

Purpose Innovation and technology development policy-making naturally encounters numerous uncertainties and complexities, especially in developing countries, for the sake of the prevailing prospect of decision makers focusing on hard evidences, and neglecting key and effective social ones; in this research, a context-based method by means of Q-methodology was designed to facilitate policy-making for complex systems by bridging between policy and practices (latent in viewpoints) through providing context-based evidences. Design/methodology/approach Due to the nature of knowledge-based systems, the performance of Innovation and Technology Development (ITD) systems is highly dependent on the standpoints of key players/stakeholders of the system. In consideration of Iran’s economy characteristics, Upstream Oil and Gas (UOG) Industry, which is one of the complex Large Technical Systems (LTS), was selected as a case study. Regarding the features of LTSs, the designed model was completed by adding hierarchical clustering method, as well as using the framework of innovation and technology learning transition model to analyze the results. Findings The results showed the capability of the model in providing credible evidences to inform policy-making processes. Originality/value This study is one of the first real experiences which used Q-method for providing evidence-based policy-making model in a complex Large Technical System, namely, Upstream Oil and Gas (UOG) Industry.

Understanding how the contextual variables influence political behaviour in strategic decision-making

2014 ◽  
Vol 7 (3) ◽  
pp. 226-250 ◽  
Author(s):  
Said Elbanna ◽  
Ioannis C. Thanos ◽  
Vassilis M. Papadakis
Keyword(s):  
Decision Making ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Strategic Decisions ◽  
Empirical Examination ◽  
Content Type ◽  
Political Behaviour ◽  
Practitioner Education ◽  
The Impact ◽  
Practical Implications

Purpose – The purpose of this paper is to enhance the knowledge of the antecedents of political behaviour. Whereas political behaviour in strategic decision-making (SDM) has received sustained interest in the literature, empirical examination of its antecedents has been meagre. Design/methodology/approach – The authors conducted a constructive replication to examine the impact of three layers of context, namely, decision, firm and environment, on political behaviour. In Study 1, Greece, we gathered data on 143 strategic decisions, while in Study 2, Egypt, we collected data on 169 strategic decisions. Findings – The evidence suggests that both decision-specific and firm factors act as antecedents to political behaviour, while environmental factors do not. Practical implications – The findings support enhanced practitioner education regarding political behaviour and provide practitioners with a place from which to start by identifying the factors which might influence the occurrence of political behaviour in SDM. Originality/value – The paper fills important gaps in the existing research on the influence of context on political behaviour and delineates interesting areas for further research.

Investigating consumers’ reluctance to give up local hard drives after adopting the Cloud

2016 ◽  
Vol 14 (2) ◽  
pp. 152-166 ◽  
Author(s):  
Joanne E. McNeish ◽  
Anthony Francescucci ◽  
Ummaha Hazra
Keyword(s):  
Technology Development ◽  
Service Providers ◽  
New Technology ◽  
Cloud Service ◽  
Relative Advantage ◽  
Content Type ◽  
Hard Drives ◽  
Content Creation ◽  
Simultaneous Use ◽  
Personal Content

Purpose The next phase of hardware technology development is focused on alternative ways to manage and store consumers’ personal content. However, even consumers who have adopted Cloud-based services have demonstrated a reluctance to move all of their personal content into the Cloud and continue to resist giving up local hard drives. This paper aims to investigate the characteristics of local hard drives and the Cloud that lead to simultaneous use. Design/methodology/approach This paper uses content analysis of online comments and ten depth interviews with simultaneous users of local hard drives and the Cloud. Findings Three factors influence the resistance to giving up local hard drives. Simultaneous users utilize local hard drives as a redundancy system and as a way to ensure the permanence of their digital content. They are unsure of the Cloud’s ability to support their content creation, management and storage activities (task-technology fit). Research limitations/implications Study findings are based on qualitative methods and thus the results cannot be considered conclusive. Practical implications The authors speculate that it is unlikely that Cloud-only will fully replace hard drives until these factors are understood and addressed by information technology developers. Cloud service providers may not be aware of how little that users understand the Cloud. In contrast to their certainty and confidence in local hard drives, simultaneous users are confused as to what the Cloud is and how it functions. This uncertainty exacerbates their risk perception and need for control. Originality/value This is the first study exploring simultaneous use of local hard drives and the Cloud with a view to understanding this behaviour in terms of the relative advantage of the incumbent technology over the new technology.

Accessing offshoring advantages: what and how to offshore

2015 ◽  
Vol 8 (2/3) ◽  
pp. 262-283 ◽  
Author(s):  
Alona Mykhaylenko ◽  
Ágnes Motika ◽  
Brian Vejrum Waehrens ◽  
Dmitrij Slepniov
Keyword(s):  
Performance Outcomes ◽  
Offshore Outsourcing ◽  
Strategic Decisions ◽  
Content Type ◽  
Different Types ◽  
Captive Offshoring ◽  
Performance Results ◽  
Governance Modes ◽  
Different Levels ◽  
Do So

Purpose – The purpose of this paper is to advance the understanding of factors that affect offshoring performance results. To do so, this paper focuses on the access to location-specific advantages, rather than solely on the properties of the offshoring company, its strategy or environment. Assuming that different levels of synergy may exist between particular offshoring strategic decisions (choosing offshore outsourcing or captive offshoring and the type of function) and different offshoring advantages, this work advocates that the actual fact of realization of certain offshoring advantages (getting or not getting access to them) is a more reliable predictor of offshoring success. Design/methodology/approach – A set of hypotheses derived from the extant literature is tested on the data from a quantitative survey of 1,143 Scandinavian firms. Findings – The paper demonstrates that different governance modes and types of offshored function indeed provide different levels of access to different types of location-specific offshoring advantages. This difference may help to explain the ambiguity of offshoring initiatives performance results. Research limitations/implications – Limitations of the work include using only the offshoring strategy elements and only their limited variety as factors potentially influencing access to offshoring advantages. Also, the findings are limited to Scandinavian companies. Originality/value – The paper introduces a new concept of access, which can help to more reliably predict performance outcomes of offshoring initiatives. Recommendations are also provided to practitioners dealing with offshoring initiatives.

Saregama Carvaan: a phoenix that rose from the ashes

2021 ◽  
Vol 11 (3) ◽  
pp. 1-20
Author(s):  
Tausif Amir Mulla
Keyword(s):  
Consumer Behavior ◽  
Learning Outcomes ◽  
Business Models ◽  
Graduate Program ◽  
Smart Device ◽  
Strategic Decisions ◽  
Content Type ◽  
Profit Center ◽  
Academic Level

Learning outcomes The learning outcomes of this case are product innovation, the importance of consumer insights and data in marketing and the role of consumer insights in brand revival. Case overview/synopsis This case study is a fascinating look into how the shift from music compact disc (CDs) to streaming has completely changed consumer behavior. This change in attitude led many music labels down one of two paths as follows: shutting down the business or embracing new business models. The case study aims to bring out essential learning from a company, Saregama, that was on the verge of shutting down because of the losses incurred with the shift in consumer behavior from buying music CDs to streaming music for free on every smart device. This shift led most record companies to become shuttered. However, not all were as fortunate as Saregama, who threaded its way toward profitability. This case analyzes how Saregama turned from a loss-making business unit into a profit center by launching a breakthrough product backed by innovative thinking and strong consumer research. The researcher opted for secondary research based on reports from Deloitte and McKinsey & Company and other credible sources to understand the music streaming market in India. The study also includes excerpts from the interview of Vikram Mehra (MD of Saregama India Ltd.) to various media houses and customer reviews on e-commerce sites. Complexity academic level The case is relevant for learners studying for an undergraduate or graduate program and for discussions for modules such as marketing management and international marketing with a focus on product development and strategy. Applicability the case will provide the following exposure to the learners: the difference between corporate and marketing objectives; Using frameworks such as valuable, rare, inimitable, and organization and SAP-LAP to understand the rationale behind strategic decisions; An understanding of the importance of listening to consumers; Using the right marketing elements such as segmentation, targeting and positioning and marketing mix for a competitive marketing strategy. Supplementary materials Teaching notes are available for educators only. Subject code CSS: 8 Marketing.

Study on coordination of industrial technology ambidextrous innovation in knowledge ecology spiral

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pan Liu ◽  
Yue Long
Keyword(s):  
Technology Innovation ◽  
Coordination Mechanism ◽  
Volterra Model ◽  
Industrial Technology ◽  
Input Output ◽  
Profit Model ◽  
Content Type ◽  
Spiral Model ◽  
Knowledge Ecology ◽  
Innovation Chain

Purpose Knowledge input development and innovation implementation are new features of industrial technology innovation. The purpose of this study is to find the process of coordination and ecological spiral in the ambidextrous innovation of industrial technology. Design/methodology/approach To design the model of industrial technology ambidextrous innovation based on knowledge ecology spiral, an input-output model of knowledge for ambidextrous innovation and a spiral model of knowledge ecology were constructed based on an improved Lotka-Volterra model. Then, the equilibriums in different knowledge inputs and the spiral evolution of knowledge ecology were analyzed. Finally, the ambidextrous coordination mechanism of the core organization was revealed. Findings By coordinating the knowledge inputs and the knowledge ecology spiral, enterprises extend the R&D investments in the innovation chain, which will facilitate the knowledge inputs of the exploitative and exploratory innovation. Implementing the ambidextrous coordination in the technology innovation chain and the knowledge ecology chain has the advantage of promoting knowledge inputs, mobility and ecological spiral. Meanwhile, it can achieve the “multi-source, integration and coordination” development of industrial technology innovation. Originality/value The two-element innovative knowledge input coordination model and the knowledge ecological spiral model based on the improved Lotka-Volterra model are constructed, which extends the modeling way of the traditional knowledge input-output profit model. It is expected to reduce the amount of knowledge input of a single member and provide theoretical reference for improving the efficiency of knowledge input by constructing the inter-dependent regenerative and inter-generative knowledge interaction.

Sign in / Sign up

Export Citation Format

Share Document