{"title":"A topic model analysis of science and technology linkages: A case study in pharmaceutical industry","authors":"Samira Ranaei, A. Suominen, O. Dedehayir","doi":"10.1109/TEMSCON.2017.7998353","DOIUrl":"https://doi.org/10.1109/TEMSCON.2017.7998353","url":null,"abstract":"Science and technology (S&T) linkages have been studied extensively using patent and scientific publication databases. Existing methods used to track S&T linkages, such as analysis of non-patent literature (NPL) or author-inventor matching offer a narrow window for industry level analysis of the data. This paper examines the application of a machine learning algorithm, namely Latent Dirichlet Allocation, to detect the semantic relationship between patent and scientific publication corpus. The case of “Taxol”, a cancer drug, is used to illustrate the performance of the unsupervised algorithm in clustering documents with similar topics. In total 26 475 documents retrieved from the Europe PMC database was used a sample for the analysis. Qualitative analysis of the clusters shows that the topic clustering algorithm is valuable approach in detection of patent and publication linkage.","PeriodicalId":193013,"journal":{"name":"2017 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116813800","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}
Yan Zhang, Weiling Chen, C. Yeo, C. Lau, Bu-Sung Lee
{"title":"Detecting rumors on Online Social Networks using multi-layer autoencoder","authors":"Yan Zhang, Weiling Chen, C. Yeo, C. Lau, Bu-Sung Lee","doi":"10.1109/TEMSCON.2017.7998415","DOIUrl":"https://doi.org/10.1109/TEMSCON.2017.7998415","url":null,"abstract":"Rumors spread on Online Social Networks sometimes can lead to serious social issues. To accurately identify them from normal posts is proved to be of great value. Users' behaviors are different when they post rumors and normal posts. Since rumors only account for a small percentage of all posts, they can be regarded as anomalies. Therefore, we propose an anomaly detection method based on autoencoder to perform rumor detection. In this paper we propose several self-adapting thresholds which can facilitate rumor detection. In addition, we further discuss how the different number of hidden layers of autoencoder can influence the detection performance. The experimental results show that our model achieves a good F1 and a low false positive rate.","PeriodicalId":193013,"journal":{"name":"2017 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127018957","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}
{"title":"Exploring the influence of absorptive capacity on innovation in Bengaluru high-tech manufacturing cluster","authors":"C. Deepak, Bala Subrahmanya Mungila Hillemane","doi":"10.1109/TEMSCON.2017.7998372","DOIUrl":"https://doi.org/10.1109/TEMSCON.2017.7998372","url":null,"abstract":"There has been an increasing emphasis to understand the dynamism of firms in high-tech clusters given the economic prospect they offer to themselves and regions housing these clusters. This has placed a pressing need for researchers and practitioners across the globe to quantify absorptive capacity of a firm which is a measure of dynamic capability of a firm. Bengaluru being one of the “global hubs for technological innovations” in Asia, houses the densely interconnected network of high-tech manufacturing firms forming a high-tech manufacturing cluster. It is in the context of Bengaluru high-tech manufacturing cluster that, this paper attempts to quantify absorptive capacity of a firm and subsequently ascertains its influence on innovation.","PeriodicalId":193013,"journal":{"name":"2017 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128601839","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}
{"title":"Quantitative planning and risk management of Agile Software Development","authors":"K. Ghane","doi":"10.1109/TEMSCON.2017.7998362","DOIUrl":"https://doi.org/10.1109/TEMSCON.2017.7998362","url":null,"abstract":"The Agile Software Development methodologies has enjoyed a widespread acceptance in the software development industry. While iterative and incremental approach of agile methodologies are the main attractions, at the same time they make estimation and predictability of agile software projects a challenge. Delivering workable software in short cycles helps with collecting more heuristic data as compared to traditional waterfall methodologies. Such data can be used as quantitative metrics for time and effort estimation that in turn can help with risk mitigation and risk avoidance. Although traditional agile formulations and recommendations place emphasis on individuals and interactions over processes and tools, this paper considers processes and tools essential in agile processes of today's complex software systems and distributed teams. Emphasis on processes and tools enables agile software projects to produce project metrics that can be effectively used in predictive analytics and risk management. The system that is introduced here emphasizes on quantitative approach to agile project planning and introduces a risk management model that produces risk metrics that are used to help with risk avoidance and risk mitigation. The risk metrics and the project simulation model are used to adjust project factors such as time, cost and scope during lifespan of project. Such adjustments come from recommender system that proposes changes to a wide range of project parameters for risk mitigation and risk avoidance.","PeriodicalId":193013,"journal":{"name":"2017 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124067232","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}
{"title":"A business ecosystem driven market analysis: The bright green building market potential","authors":"Zheng Ma, Joy Billanes, B. Jørgensen","doi":"10.1109/TEMSCON.2017.7998358","DOIUrl":"https://doi.org/10.1109/TEMSCON.2017.7998358","url":null,"abstract":"Due to the huge globally emerging market of the bright green buildings, this paper aims to develop a business-ecosystem driven market analysis approach for the investigation of the bright green building market. This paper develops a five-steps business-ecosystem driven market analysis (definition of the business domain, stakeholder listing, integration of the value chain, relationship mapping, and ego innovation ecosystem mapping.). This paper finds the global-local matters influence the market structure, which the technologies for building energy technology are developed and employed globally, and the market demand is comparatively localized. The market players can be both local and international stakeholders who involve and collaborate for the building projects. This paper also finds that the building extensibility should be considered into the building design due to the gap between current market demand, technology readiness and future trends.","PeriodicalId":193013,"journal":{"name":"2017 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131962483","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}
{"title":"Business benchmarking of global operations: The case of water and energy consumption in the brewery industry","authors":"J. Kirstein, A. Brent","doi":"10.1109/TEMSCON.2017.7998390","DOIUrl":"https://doi.org/10.1109/TEMSCON.2017.7998390","url":null,"abstract":"As the demand for, and cost of, resources increase, the brewing sector is increasingly at risk from a sustainability perspective. In response, brewers globally have embarked on efficiency improvement programs, often accompanied by ambitious, publicly committed targets. Benchmarks are then often used to assist brewers in identifying improvement opportunities, but a comparison of water and energy performances in breweries is deficient without normalizing for differences between plants. The normalization of water and energy use was subsequently investigated, by using SABMiller breweries as a case study; to propose variables (differences between plants), and a normalization model to enable breweries (that are different) to be compared for the purpose of benchmarking, and to identify improvement opportunities. Drivers of water, electricity, and thermal energy usage obtained from literature were selected, rationalized and ranked in a Delphi survey of industry experts, and correlated with data from 64 SABMiller sites. The main drivers identified and data from 58 SABMiller sites were utilized to develop multi-variable linear regression (MVLR) models of water, electricity, and thermal energy usage. The models, tested with data from 6 SABMiller sites of different hubs, were able to predict water, electrical, and thermal energy usage to within a 7% error, given the identified variables as inputs. By eliminating the variability in drivers within the control of brewery staff, the MVLR models were used to normalize the performance indices and enabled the direct comparisons between plants. It is shown that the range in usages is driven mostly by plant volume, and that much of the variability in water and energy usage performances are due to drivers within the control of plant and engineering personnel.","PeriodicalId":193013,"journal":{"name":"2017 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125870717","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}
{"title":"Bringing large technology systems to economic maturity","authors":"R. Wood","doi":"10.1109/TEMSCON.2017.7998414","DOIUrl":"https://doi.org/10.1109/TEMSCON.2017.7998414","url":null,"abstract":"For long periods after their introductions, all bi g technologies have failed to create the kinds of productivity improvements that they would deliver in the long run. Many large technology systems today show the kinds of weaknesses found in the immature periods of earlier technologies such as those apparent in 18th Century steam-driven factories and early 20th Century factories where electric motors we re added to steam-based systems. Users of today's systems often spend significant amounts of time struggling with functions and interfaces that work poorly. Ye t today a fe w large systems do work with the kind of smooth reliability and comprehensiveness of function that supported economic takeoffs when comparable functionality was reached in the past. (The systems of Amazon.com and of some big box retailers seem to be examples.) This paper argues that such systems emerge through processes that are: 1) ve ry long-term. They require multiple decades. 2) organization-wide. Rather than being dominated by a core technology group, they involve technical innovation throughout the organization driven by a chief executive's aspirations. 3) visionary customer-driven. Th e innovations were achieved by implementing a theory of what the customer would need well in the future.","PeriodicalId":193013,"journal":{"name":"2017 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128381868","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}
Orlando E. Contreras-Pacheco, Cyrlene Claasen, R. Nishant
{"title":"Knowledge sharing among engineers: An empirical examination","authors":"Orlando E. Contreras-Pacheco, Cyrlene Claasen, R. Nishant","doi":"10.1109/TEMSCON.2017.7998386","DOIUrl":"https://doi.org/10.1109/TEMSCON.2017.7998386","url":null,"abstract":"We study knowledge sharing among engineers to develop a nuanced understanding of the role of meaningful work and organizational identification by integrating the knowledge management framework, the job characteristics model and organizational identity theory. Using a cross-sectional survey of 168 engineers with managerial responsibilities from several industries in Colombia, we tested a structural equation model. Results show that a meaningful work is related with knowledge sharing, but is mediated by organizational identification. Furthermore, we found that the way to obtain knowledge donating is preceded by knowledge collecting. These associations provide insight into engineers' attitudes towards sharing knowledge as a way to differentiate profiles in the organizational environments and promote further research in this regard. Practical implications revolve around the justification for working on practices that not only foster meaningfulness in the workplace, but also organizational identification in order to obtain adequate levels of organizational knowledge sharing. Finally, since most studies have been carried out in developed countries, this study also contributes to a better understanding of the topic in previously unexplored contexts, in this case emerging economies.","PeriodicalId":193013,"journal":{"name":"2017 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129492557","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}
{"title":"A capital allocation decision rule for knowledge-intensive organizations","authors":"J. Juneja, A. Amar","doi":"10.1109/TEMSCON.2017.7998404","DOIUrl":"https://doi.org/10.1109/TEMSCON.2017.7998404","url":null,"abstract":"We formulate a mathematical programming problem for allocating capital budget between the organizational and physical capitals of the firm and solve it to obtain an analytically tractable and easy to implement decision rule for the optimal allocation of the capital budget. The model we develop depicts interconnections of these capitals and their constituent variables in the context of the firm's valuation through the growth of its operating income. Finally, we illustrate our findings through the optimal capital allocations by the largest software companies using data from their financial statements over the period 1991– 2015. We find that managers of software companies that allocate more of their capital budget to organizational capital on a steady basis enjoy superior financial performance.","PeriodicalId":193013,"journal":{"name":"2017 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123353662","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}
E. Frantz, Anthony Dugan, Kyle Hinchberger, Brandon Maseth, Othman Al Sharfa, J. Al-Jaroodi
{"title":"SMEs: The effects of strategic management","authors":"E. Frantz, Anthony Dugan, Kyle Hinchberger, Brandon Maseth, Othman Al Sharfa, J. Al-Jaroodi","doi":"10.1109/TEMSCON.2017.7998406","DOIUrl":"https://doi.org/10.1109/TEMSCON.2017.7998406","url":null,"abstract":"Small and Medium-sized Enterprises (SMEs) are a vital part of any national economy, so it is important for SMEs to be successful in their ventures. One of the defining characteristics of modern SMEs is their agility and quick movements. However, this impacts how well they can utilize strategic management tactics and tools to further their position. This article will analyze how implementing various strategic management techniques impact SMEs and whether these institutional practices can be directly correlated to their success. Furthermore, this article will evaluate the various historical and current management strategies, as well as its correlation to a successful SME. Lastly, this article will discuss projected strategic management techniques that will act as the foundation of a developing enterprise.","PeriodicalId":193013,"journal":{"name":"2017 IEEE Technology & Engineering Management Conference (TEMSCON)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124478936","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}