Pub Date : 2017-01-01DOI: 10.1504/IJTIP.2017.10012703
Y. Suharyanti, Subagyo, N. Masruroh, Indra Bastian
Most researchers, as well as practitioners, agree that product development is one of the important product success factors, so that companies allocate high resources for product development process. However, some researches and companies' actual data show that the relationship between product development and product success does not give a conclusive result. In order to explore further that relationship, this study applies an approach called 'Kano like' approach, which portrays the profile of the resources allocation in product development activities and their relations to product success. The result shows that product success is affected by the way the resources allocated in product development activities, rather than the total resources consumed. An ideal or success-triggering scheme of resources allocation can be generated from the 'Kano like' approach. Analyses on 25 product development projects shows that the closer the original scheme to the ideal scheme, the higher the success of the product.
{"title":"The way the product development activities affect the product success: a resource allocation analysis using 'Kano like' approach","authors":"Y. Suharyanti, Subagyo, N. Masruroh, Indra Bastian","doi":"10.1504/IJTIP.2017.10012703","DOIUrl":"https://doi.org/10.1504/IJTIP.2017.10012703","url":null,"abstract":"Most researchers, as well as practitioners, agree that product development is one of the important product success factors, so that companies allocate high resources for product development process. However, some researches and companies' actual data show that the relationship between product development and product success does not give a conclusive result. In order to explore further that relationship, this study applies an approach called 'Kano like' approach, which portrays the profile of the resources allocation in product development activities and their relations to product success. The result shows that product success is affected by the way the resources allocated in product development activities, rather than the total resources consumed. An ideal or success-triggering scheme of resources allocation can be generated from the 'Kano like' approach. Analyses on 25 product development projects shows that the closer the original scheme to the ideal scheme, the higher the success of the product.","PeriodicalId":52540,"journal":{"name":"International Journal of Technology Intelligence and Planning","volume":"130 1","pages":"320"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79829905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-01-01DOI: 10.1504/IJTIP.2017.10012704
Y. Marinakis, R. Harms, S. Ahluwalia, S. Walsh
Product adoption and diffusion dynamics observed in field studies vary with population size and structure and affect the financial future of firms of all sizes. The purpose of this study is to identify a single model that could produce this variety of dynamics. A single model was in fact identified in this study, namely replicator dynamics. To identify this single model, a case study approach based on secondary sources is utilised. Product adoption cases are selected from the base of the pyramid (BOP) because the richness and variety of that context provided a unique opportunity to study the phenomenon. It is shown that replicator dynamics could produce a variety of product adoption and diffusion dynamics that had been observed at the BOP. These findings imply that replicator dynamics, hence imitation and biased cultural transmission, may lie at the core of most product adoption and diffusion.
{"title":"Explaining product adoption and diffusion at the base of the pyramid","authors":"Y. Marinakis, R. Harms, S. Ahluwalia, S. Walsh","doi":"10.1504/IJTIP.2017.10012704","DOIUrl":"https://doi.org/10.1504/IJTIP.2017.10012704","url":null,"abstract":"Product adoption and diffusion dynamics observed in field studies vary with population size and structure and affect the financial future of firms of all sizes. The purpose of this study is to identify a single model that could produce this variety of dynamics. A single model was in fact identified in this study, namely replicator dynamics. To identify this single model, a case study approach based on secondary sources is utilised. Product adoption cases are selected from the base of the pyramid (BOP) because the richness and variety of that context provided a unique opportunity to study the phenomenon. It is shown that replicator dynamics could produce a variety of product adoption and diffusion dynamics that had been observed at the BOP. These findings imply that replicator dynamics, hence imitation and biased cultural transmission, may lie at the core of most product adoption and diffusion.","PeriodicalId":52540,"journal":{"name":"International Journal of Technology Intelligence and Planning","volume":"156 1","pages":"345-365"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75104295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-06-27DOI: 10.1504/IJTIP.2016.077272
M. Millson
This study investigates new product market success in the heavy construction equipment industry over the past 20 years in the USA. This research examines the relationships between new product market success and (1) the proficiency with which new products are developed and (2) the degree of organisational integration among various groups of people. This study addresses three major research questions regarding the relationships among these three primary variables and whether Time Period (1993 and 2013) moderated the relationships between new product market success and (1) new product development (NPD) process proficiency and (2) organisational integration. It was found that NPD process proficiency significantly impacts new product market success in both the 2013 and the 1993 time periods. However, no moderating effects were found regarding the individual time periods but a direct effect was found regarding the lapse of time between 1993 and 2013. Study implications and recommendations are provided for NPD managers.
{"title":"A comparative study of organisational integration and NPD process proficiency in the heavy construction equipment industry: past and present","authors":"M. Millson","doi":"10.1504/IJTIP.2016.077272","DOIUrl":"https://doi.org/10.1504/IJTIP.2016.077272","url":null,"abstract":"This study investigates new product market success in the heavy construction equipment industry over the past 20 years in the USA. This research examines the relationships between new product market success and (1) the proficiency with which new products are developed and (2) the degree of organisational integration among various groups of people. This study addresses three major research questions regarding the relationships among these three primary variables and whether Time Period (1993 and 2013) moderated the relationships between new product market success and (1) new product development (NPD) process proficiency and (2) organisational integration. It was found that NPD process proficiency significantly impacts new product market success in both the 2013 and the 1993 time periods. However, no moderating effects were found regarding the individual time periods but a direct effect was found regarding the lapse of time between 1993 and 2013. Study implications and recommendations are provided for NPD managers.","PeriodicalId":52540,"journal":{"name":"International Journal of Technology Intelligence and Planning","volume":"1 1","pages":"164"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82186212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-06-27DOI: 10.1504/IJTIP.2016.077257
Xiaohong Chen, D. Probert, Yuan Zhou, Jun Su
This paper aims to analyse the key factors influencing knowledge sharing in open source software (OSS) projects. Four deep cases are analysed to develop a conceptual framework based on within-case and cross-case analysis. In terms of data collection, online (including Skype meeting, email, email-list, internet relay chat (IRC), forum, group meeting, etc.) and offline (mainly with face-to-face discussion) activities are two major platforms. The research framework is that distributed innovation (independent variable) will influence shared knowledge (medium variable) and continue to affect the performance of OSS projects (dependent variable). During distributed innovation, developers located on the supply side will affect the shared knowledge from the aspects of participative motivation, social networks and organisational culture. Meanwhile, users situated on the demand side will function from the view of user innovation. Differences and similarities of China and the West towards OSS Projects are derived from the evidence, and some implications for the Chinese approach are proposed.
{"title":"Mechanisms of knowledge sharing in open source software projects: a comparison of Chinese and Western practice","authors":"Xiaohong Chen, D. Probert, Yuan Zhou, Jun Su","doi":"10.1504/IJTIP.2016.077257","DOIUrl":"https://doi.org/10.1504/IJTIP.2016.077257","url":null,"abstract":"This paper aims to analyse the key factors influencing knowledge sharing in open source software (OSS) projects. Four deep cases are analysed to develop a conceptual framework based on within-case and cross-case analysis. In terms of data collection, online (including Skype meeting, email, email-list, internet relay chat (IRC), forum, group meeting, etc.) and offline (mainly with face-to-face discussion) activities are two major platforms. The research framework is that distributed innovation (independent variable) will influence shared knowledge (medium variable) and continue to affect the performance of OSS projects (dependent variable). During distributed innovation, developers located on the supply side will affect the shared knowledge from the aspects of participative motivation, social networks and organisational culture. Meanwhile, users situated on the demand side will function from the view of user innovation. Differences and similarities of China and the West towards OSS Projects are derived from the evidence, and some implications for the Chinese approach are proposed.","PeriodicalId":52540,"journal":{"name":"International Journal of Technology Intelligence and Planning","volume":"58 1","pages":"117"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79254813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-06-27DOI: 10.1504/IJTIP.2016.077269
Paveena Lalitnorasate, K. Miyazaki
Functional food (FF) has recently become an emerging trend due to the change in life-style and demand for health-promoting food. This trend has opened up new market opportunities, which are not limited to only firms in the food sector. It pertains the characteristics of an industrial convergence, which involves knowledge and capabilities across an industrial border to converge. This work uses the example of Japanese food firms that have participated in FF in Japan (alias FOSHU) to explore the process of learning in food firms concerning FF development. By analysing the patenting activities, firms' competence and patterns of learning were drawn. The results indicate the importance of core competence, technological diversification and their effects on path-dependent learning pattern.
{"title":"Convergence in functional food: technological diversification and path-dependent learning","authors":"Paveena Lalitnorasate, K. Miyazaki","doi":"10.1504/IJTIP.2016.077269","DOIUrl":"https://doi.org/10.1504/IJTIP.2016.077269","url":null,"abstract":"Functional food (FF) has recently become an emerging trend due to the change in life-style and demand for health-promoting food. This trend has opened up new market opportunities, which are not limited to only firms in the food sector. It pertains the characteristics of an industrial convergence, which involves knowledge and capabilities across an industrial border to converge. This work uses the example of Japanese food firms that have participated in FF in Japan (alias FOSHU) to explore the process of learning in food firms concerning FF development. By analysing the patenting activities, firms' competence and patterns of learning were drawn. The results indicate the importance of core competence, technological diversification and their effects on path-dependent learning pattern.","PeriodicalId":52540,"journal":{"name":"International Journal of Technology Intelligence and Planning","volume":"33 1","pages":"140"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85904063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-06-27DOI: 10.1504/IJTIP.2016.077242
C. Wang, X. Quan, Shi-Zheng Huang
The study further explores how the moderating roles of relative network positions and technology diversity separately and jointly affect inter-firm technology alliances. More specifically, this study examines whether exploration learning in inter-firm collaboration benefits a firm's technology alliances and whether those benefits depend on how such learning fits the firm's network position and technology diversity. Based on a sample of 151 biomedical-based firms, the results show that relative network positions and technology diversity are significantly positively and negatively associated with successful inter-firm technology alliances, respectively. The main findings show that successful inter-firm technology alliances not only depend on exploration learning capability but are also contingent upon relative network positions and technology diversity. The study reveals some important implications for inter-firm technology collaborations.
{"title":"Technology acquisition through exploration alliance: network positions and technology diversity","authors":"C. Wang, X. Quan, Shi-Zheng Huang","doi":"10.1504/IJTIP.2016.077242","DOIUrl":"https://doi.org/10.1504/IJTIP.2016.077242","url":null,"abstract":"The study further explores how the moderating roles of relative network positions and technology diversity separately and jointly affect inter-firm technology alliances. More specifically, this study examines whether exploration learning in inter-firm collaboration benefits a firm's technology alliances and whether those benefits depend on how such learning fits the firm's network position and technology diversity. Based on a sample of 151 biomedical-based firms, the results show that relative network positions and technology diversity are significantly positively and negatively associated with successful inter-firm technology alliances, respectively. The main findings show that successful inter-firm technology alliances not only depend on exploration learning capability but are also contingent upon relative network positions and technology diversity. The study reveals some important implications for inter-firm technology collaborations.","PeriodicalId":52540,"journal":{"name":"International Journal of Technology Intelligence and Planning","volume":"2013 1","pages":"93-116"},"PeriodicalIF":0.0,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86242876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-01-20DOI: 10.1504/IJTIP.2016.074229
Wen-Cheng Lu
This paper employs the concepts of metafrontier, group frontiers and technology gap ratio for the purpose of investigating differences in R&D efficiency across groups of firms. The study finds that R&D employees, physical capital, R&D expenditure and patent citations are important to produce patents. Large firms with more R&D manpower are associated with higher R&D efficiency. The estimated output elasticity for R&D expenditure input and physical capital input for large firms is higher than that for small firms. The estimated output elasticity for patent citation input in a large firm sample is slightly smaller than that in a small firm sample. Small firm groups are much closer to metafrontier than large firm groups. Small firms have higher R&D efficiency than large firms. The results provide new insights into R&D efficiency and the first step of policymaking to improve R&D environment.
{"title":"Do firm sizes matter for R&D efficiency: evidence for a stochastic metafrontier model","authors":"Wen-Cheng Lu","doi":"10.1504/IJTIP.2016.074229","DOIUrl":"https://doi.org/10.1504/IJTIP.2016.074229","url":null,"abstract":"This paper employs the concepts of metafrontier, group frontiers and technology gap ratio for the purpose of investigating differences in R&D efficiency across groups of firms. The study finds that R&D employees, physical capital, R&D expenditure and patent citations are important to produce patents. Large firms with more R&D manpower are associated with higher R&D efficiency. The estimated output elasticity for R&D expenditure input and physical capital input for large firms is higher than that for small firms. The estimated output elasticity for patent citation input in a large firm sample is slightly smaller than that in a small firm sample. Small firm groups are much closer to metafrontier than large firm groups. Small firms have higher R&D efficiency than large firms. The results provide new insights into R&D efficiency and the first step of policymaking to improve R&D environment.","PeriodicalId":52540,"journal":{"name":"International Journal of Technology Intelligence and Planning","volume":"62 2 1","pages":"36"},"PeriodicalIF":0.0,"publicationDate":"2016-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77193731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-01-20DOI: 10.1504/IJTIP.2016.074227
M. Marquitz, Sarah Badding, T. Chermack
This study examines the relationship between scenario planning and participant perceptions of grief in organisational change. Scenario planning projects were designed and facilitated for each of the four organisations as part of an applied research project utilising quasi-experimental research methods. The literature review and theoretical framework in the study focused on the social relationships associated with: 1) resistance to change; 2) perceptions of complex change; 3) loss and grief; 4) coping skills and complex change in organisations. Utilising the scenario planning framework was hypothesised to decrease the amount of grief within the organisations experiencing significant grief and complex change. The findings of the study indicated the scenario planning intervention significantly increased participant reports of grief in organisational change processes. While this is contrary to research hypotheses, various possible explanations are offered, though additional research will be required to further understand the impact of scenario planning on grief management in organisations.
{"title":"The effects of scenario planning on participant perceptions of grief in organisational change","authors":"M. Marquitz, Sarah Badding, T. Chermack","doi":"10.1504/IJTIP.2016.074227","DOIUrl":"https://doi.org/10.1504/IJTIP.2016.074227","url":null,"abstract":"This study examines the relationship between scenario planning and participant perceptions of grief in organisational change. Scenario planning projects were designed and facilitated for each of the four organisations as part of an applied research project utilising quasi-experimental research methods. The literature review and theoretical framework in the study focused on the social relationships associated with: 1) resistance to change; 2) perceptions of complex change; 3) loss and grief; 4) coping skills and complex change in organisations. Utilising the scenario planning framework was hypothesised to decrease the amount of grief within the organisations experiencing significant grief and complex change. The findings of the study indicated the scenario planning intervention significantly increased participant reports of grief in organisational change processes. While this is contrary to research hypotheses, various possible explanations are offered, though additional research will be required to further understand the impact of scenario planning on grief management in organisations.","PeriodicalId":52540,"journal":{"name":"International Journal of Technology Intelligence and Planning","volume":"2014 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2016-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86435968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-01-20DOI: 10.1504/IJTIP.2016.074228
Didi Omar Elamine, Maria Serraji, E. Nfaoui, J. Boumhidi
In this paper we present a multi-agent architecture based on wind power prediction using neural network (NN), this process aims to implement smart micro-grid with different generation units like wind turbines and fuel generators. In the proposed architecture this micro-grid can exchange electricity with the main grid therefore it can buy or sell electricity. The main objective is to find the optimal policy using average wind speed prediction for the next hour in order to maximise the benefit and minimise the cost. To forecast the wind speed and taking into account the convergent speed and convergent accuracy, we propose in this paper an NN based on hybrid weighted algorithm combining back-propagation (BP) algorithm with particle swarm optimisation (PSO) algorithm referred to as W-BP-PSO. Finally, for the simulation, the Java Agent Development Framework (JADE) platform is used to implement the approach and analyse the results.
本文提出了一种基于神经网络(NN)的风电功率预测的多智能体结构，该过程旨在实现不同发电机组(如风力发电机和燃料发电机)的智能微电网。在提出的架构中，微电网可以与主电网交换电力，因此它可以买卖电力。主要目标是利用预测未来一小时的平均风速找到最优策略，以实现效益最大化和成本最小化。为了预测风速并兼顾收敛速度和收敛精度，本文提出了一种结合反向传播(BP)算法和粒子群优化(PSO)算法的混合加权神经网络，称为W-BP-PSO。最后，在Java Agent Development Framework (JADE)平台上进行了仿真，并对仿真结果进行了分析。
{"title":"Multi-agent architecture for optimal energy management of a smart micro-grid using a weighted hybrid BP-PSO algorithm for wind power prediction","authors":"Didi Omar Elamine, Maria Serraji, E. Nfaoui, J. Boumhidi","doi":"10.1504/IJTIP.2016.074228","DOIUrl":"https://doi.org/10.1504/IJTIP.2016.074228","url":null,"abstract":"In this paper we present a multi-agent architecture based on wind power prediction using neural network (NN), this process aims to implement smart micro-grid with different generation units like wind turbines and fuel generators. In the proposed architecture this micro-grid can exchange electricity with the main grid therefore it can buy or sell electricity. The main objective is to find the optimal policy using average wind speed prediction for the next hour in order to maximise the benefit and minimise the cost. To forecast the wind speed and taking into account the convergent speed and convergent accuracy, we propose in this paper an NN based on hybrid weighted algorithm combining back-propagation (BP) algorithm with particle swarm optimisation (PSO) algorithm referred to as W-BP-PSO. Finally, for the simulation, the Java Agent Development Framework (JADE) platform is used to implement the approach and analyse the results.","PeriodicalId":52540,"journal":{"name":"International Journal of Technology Intelligence and Planning","volume":"191 1","pages":"20"},"PeriodicalIF":0.0,"publicationDate":"2016-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85415446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-01-20DOI: 10.1504/IJTIP.2016.074240
Kalevi Kyläheiko, P. Luukka, A. Jantunen, T. Heinrich
In this paper, we will present the firm's knowledge base function and introduce an optimisation problem where the firm seeks to maximise its profits with scarce knowledge assets. In this, it has to share its knowledge assets between activities that help to increase the firm's knowledge base and activities that are needed to protect and exploit the knowledge. In addition to these choices, the firm meets a question of whether and how to use partnerships when trying to maximise profits based on the knowledge assets that can be more or less protected. We will present the evolutionarily inspired optimisation problems as perspectives of one company, two companies and three companies and introduce the differential evolution algorithm as a solution to the optimisation problems. Our simulation results show that by proper optimisation of resource allocations, a company can achieve a sustainable advantage compared with other companies.
{"title":"How to win innovation races in high-tech industries? An evolutionary optimisation model","authors":"Kalevi Kyläheiko, P. Luukka, A. Jantunen, T. Heinrich","doi":"10.1504/IJTIP.2016.074240","DOIUrl":"https://doi.org/10.1504/IJTIP.2016.074240","url":null,"abstract":"In this paper, we will present the firm's knowledge base function and introduce an optimisation problem where the firm seeks to maximise its profits with scarce knowledge assets. In this, it has to share its knowledge assets between activities that help to increase the firm's knowledge base and activities that are needed to protect and exploit the knowledge. In addition to these choices, the firm meets a question of whether and how to use partnerships when trying to maximise profits based on the knowledge assets that can be more or less protected. We will present the evolutionarily inspired optimisation problems as perspectives of one company, two companies and three companies and introduce the differential evolution algorithm as a solution to the optimisation problems. Our simulation results show that by proper optimisation of resource allocations, a company can achieve a sustainable advantage compared with other companies.","PeriodicalId":52540,"journal":{"name":"International Journal of Technology Intelligence and Planning","volume":"29 1","pages":"62"},"PeriodicalIF":0.0,"publicationDate":"2016-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83281514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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