Technology Management: Maximizing the Merger of Product and Process (The Relationship Between the Career Stages of Engineers and Scientists and Innovation in Research and Development Units)

1993 ◽  
Author(s):  
Delia J. Laing
2011 ◽  
Vol 3 (4) ◽  
pp. 113-119
Author(s):  
Romualdas Vitkauskas

The interaction of quality management and knowledge man­agement are analyzed quite widely in scientific literature and discussed with reference to various models integrating these two management theories. However, there are not enough precise tools that could provide a possibility of improving the quality of products and services through knowledge management. To this end, the article examines the already existing models for the interaction between quality management and knowledge management. The results of a survey on Lithuanian industry show what organizational knowledge is the most important while implementing quality management principles aimed at improving quality. The correlation analysis method showed the relationship between quality management principles (process approach, continual improvement, management, facts) and the factors defining the product and process quality (the extent of determining process execution time, process resources, costs of process stages, indicators for products and/or services, the dura­tion of the process, the extent of measuring indicators, the extent of collecting information on indicators, the extent of collecting information about the costs of the process). Santrauka Kokybės vadybos ir žinių vadybos sąveika mokslinėje literatūroje analizuojama gana plačiai, aptariami įvairūs sąveikos modeliai integruojant šias dvi vadybos teorijas. Tačiau nepakankamai nagrinėjamos konkrečios priemonės, kuriomis būtų galima pagerinti produktų ir paslaugų kokybę pasitelkiant žinių vadybą. Tuo tikslu straipsnyje analizuojami jau egzis­tuojantys kokybės vadybos ir žinių vadybos sąveikos modeliai bei pateikiami Lietuvos pramonės įmonių tyrimo rezultatai, parodantys, kokios organizacinės žinios svarbiausios įgyvendinant kokybės vadybos principus, skirtus kokybei gerinti. Taikant koreliacinės analizės metodą nustatyta, kad egzistuoja ryšys tarp kokybės vadybos principų (procesinio požiūrio, nuolatinio gerinimo, valdymo remiantis faktais) įgyvendinimo lygio ir veiksnių, apibūdinančių produktų ir procesų kokybę (procesų įvykdymo laiko nustatymas, procesų išteklių nustatymas, procesų etapų išlaidų nustatymas, produktų ir (ar) paslaugų rodiklių nustatymas, rodiklių matavimas, rodiklių informacijos rinkimas, informacijos apie proceso trukmę nustatymas ir informacijos apie proceso išlaidas rinkimas).


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Irem Demirkan ◽  
Ravi Srinivasan ◽  
Alka Nand

PurposeThis paper explores the role of effective resource and knowledge management capabilities on product innovation capabilities of the small and medium-sized enterprises (SMEs). Specifically, the authors research the role of the human resource investments in the form of employee training in developing firm's innovation capabilities and how SMEs manage these investments when we account for the boundary conditions such as the level of employee education, SME size and the frequency of investments in research and development (R&D).Design/methodology/approachThe authors use survey data conducted by The Centre for European Economic Research (Zentrum für Europäische Wirtschaftsforschung – ZEW). The final sample for analysis includes 983 SMEs from Germany that belong to 13 different industries. The authors use hierarchical OLS regression to test the hypotheses presented in this paper.FindingsThe authors find a positive association between increased investments in employee training and product innovation capabilities in the context of SMEs. More specifically, the authors’ findings support that (1) the relationship between employee training and innovation capabilities is weaker in industries with greater proportion of employees with university degrees, (2) the effectiveness of investments in employee training is lower among larger SMEs than smaller SMEs, and (3) continuous R&D weakens the relationship between training expenditure and innovation capabilities. While on the one hand the authors’ findings contribute to the debate of whether employee training is necessary for SMEs by affirming this notion, on the other hand the authors show that investments in employee training have differing implications for small and large SMEs within boundary conditions. Moreover, these findings have practical implications for the managers of all SMEs in terms of management of their knowledge resources.Research limitations/implicationsThe authors’ research makes important contributions to the study of innovation in SMEs. First, the authors contribute evidence to the debate whether employee training is necessary for SMEs by showing that employee training is particularly important for SMEs that are smaller in size, have lower proportion of employees with university degrees and when they invest in research and development in a targeted manner. The authors also demonstrate that investments in employee training is not a waste, rather such investments can increase the likelihood of survival for many of these firms through its positive impact on product innovation.Practical implicationsFor managers of SMEs, the authors’ findings suggest that while investments in employee training are important, the managers of particular SMEs with above-mentioned qualities should be persistent in such investments and must make deliberate efforts to reap the benefits in terms of innovative capabilities. Unlike large firms, who have the financial means to carry out investments in an abundant manner, SMEs appear to be more enterprising with their scarce resources when we also consider the role of investments in human resources.Originality/valueThe authors’ research makes important contributions to the study of innovation in SMEs. First, the authors contribute evidence to the debate whether employee training is necessary for SMEs by finding that employee training is particularly important for SMEs that are smaller in size, have lower proportion of employees with university degrees and when they do not invest in R&D continuously. The authors also demonstrate that investments in employee training is not a waste, but such investments can increase the likelihood of survival for many of these firms.


2019 ◽  
Vol 15 (2) ◽  
pp. 24-39
Author(s):  
Aleksandra Gaweł

Although innovation and entrepreneurship have been subjects of researchers’ interests for years, nevertheless both the concepts and the relationships between them remain controversial. Since different indices are accepted for the measurement of these categories, the question is whether the relationship between them depends on the choice of measures. The aim of the paper is to indicate the innovation impact on the entrepreneurial process with regard to different measures of these concepts. The research was conducted with the use of regression analyses as a method and yearly data for Polish regions in the period 2003–2018. At the initial stage of the research as many measures of innovation and entrepreneurship as possible were introduced into the estimation of regression function parameters. Statistically insignificant variables were deleted at later stages of research. This research confirms that innovativeness and entrepreneurship are broad concepts and the relationship between them depends on the choice of measures. Saturation with enterprises and saturation with start-ups seem to be more sensitive to innovation than other measures of entrepreneurship. Innovation seen as input, measured by spending on research and development (R&D) has a bigger influence on entrepreneurship than the output innovation measured by revenues from innovative activities. Considering a relatively low level of explanatory power of innovations, it seems they are not the only factor influencing entrepreneurship.


2021 ◽  
Vol 11 (2) ◽  
pp. 339-347
Author(s):  
Eylem PASLI GÜRDOĞAN

This study was conducted to determine the relationship between nursing students’ awareness and attitudes towards research and developments and their academic motivation levels. This descriptive and cross-sectional study was carried out with students from nursing department of faculty of health sciences of a university in Turkey (n=460). Data were collected using the questionnaire form which included the socio-demographic characteristics of those students, “Nursing Students’ Attitudes to and Awareness of Research and Development within Nursing Scale” and “Academic Motivation Scale”. Data were analyzed using percentage, mean, Pearson’s correlation analysis, Student’s t, and One Way Anova tests. The mean age of the students was 20.56±1.52. 81.1% were female and 28.7% were in their first year. The average score of the Nursing Students’ Attitudes to and Awareness of Research and Development within Nursing Scale was 120.54±17.46. The students’ mean score on intrinsic motivation subscale was 57.20±13.45, on extrinsic motivation subscale was 61.96±11.50 and on amotivation subscale was 10.12±5.87 in Academic Motivation Scale. The level of the students’ awareness and attitudes towards research and developments has a positive correlation with the levels of their intrinsic and extrinsic motivation and a negative correlation with the level of their amotivation (p<0.05). The average score of the Nursing Students’ Attitudes to and Awareness of Research and Development within Nursing Scale were statistically significantly different in the gender, the status of their following scientific publications and the positions they wanted to work after graduation (p<0.05). It has been determined that the students have high level of awareness and attitudes towards research and development, and their academic motivation levels affect their awareness and attitudes towards research and development.


2021 ◽  
Vol 4 (2) ◽  
pp. 162-185
Author(s):  
Anita Anita ◽  
Lisa Lim

The study is conducted with the aim of examining the effect of corporate social responsibility on systematic risk in companies listed on the IDX for the period of 2016-2020. This study adds financial flexibility and research and development investment as moderators which are still remain unexplored in Indonesia. This research is expected to be able to make investors consider social responsibility as a factor in making investment decisions. The data taken are stock prices, annual reports and sustainability reports which are secondary data. Data collection using purposive sampling method with certain criteria so that the number of samples in this study amounted to 43 companies. In testing the hypothesis using panel data regression analysis techniques with eviews. The results of the regression analysis show that the existence of corporate social responsibility has a significant positive effect on systematic risk. The moderating variable of financial flexibility does not affect the relationship between CSR and systematic risk. Then the research and development investment variables weaken the relationship between CSR and systematic risk. Therefore, management is expected to pay attention to R&D investment in making CSR policies. This study explains that R&D investment is one of the important roles in company sustainability.


2021 ◽  
Vol 1 (5) ◽  
pp. 77-82
Author(s):  
A. A. GODIN ◽  

The article deals with the topic of technology management in innovative environments, especially in the field of technological acquisition as a process. Some concepts and practical elements of technological acquisition and their significance for innovative companies are described. Some theories, methods and strategies for ensuring an effective process are evaluated, as well as factors that influence the processes of technology acquisition in companies. It is about the general aspects of the relationship between technology management and innovation management as a reference for describing the technological procurement process.


2004 ◽  
Vol 19 (2) ◽  
pp. 239-247 ◽  
Author(s):  
Michael L. Davis

This case addresses the accounting for the relationship between a pharmaceutical company and a research and development entity that it created and for which it raised operating funds via a limited private offering. After the offering, the pharmaceutical company does not own any of the R&D entity's stock. However, the stock is callable for a fixed period by the pharmaceutical company and the operating agreements between the two entities leave little room for the R&D company to make any substantive decisions on its own, or to direct its current and future operations. Most of the questions in the case deal with the issue of whether control exists, the impact of that answer on the consolidated financial statements, and the details and costs of calling the stock.


Author(s):  
Gökhan Karhan

In this chapter, the relationship between research and development (R&D) expenditures and economic growth was investigated with both Emirmahmutoğlu and Köse Causality test and the Dimitrescu and Hurlin Panel Causality test based on Rolling Windows Regression for the selected 19 OECD member countries for the period 1996-2015. The results concluded that for all panel there is a causality from economic growth to R&D expenditures. In this study, the relationship between variables was investigated using different mathematical techniques like rolling windows. According to the results of the Dimitrescu and Hurlin Panel Causality Test based on Rolling Window Regression, which is applied differently from other studies in the literature, there was a causality from economic growth to R&D expenditures in 2010. In 2011, there was causality from R&D expenditures to economic growth for all panels.


Author(s):  
S. Santhosh Kumar ◽  
A. Sumathi

Process analytics involves the relationship between the doctor, diagnostic centers and patient. The primary advantages of using process analytics in healthcare are expert guidance, global medical assistance, and possible alternate treatment mechanisms. The secondary advantages are the analysis of the same type of disease complications and the creation of a disease-based healthcare data repository. This chapter focuses on the process model-based approach for healthcare analytics. The two emerging techniques Big data and IoT are needed to be incorporated with the process model for storing and analyzing the healthcare data. The first category assists administrators with identifying areas to streamline operations and concretely increase savings. Research and development are crucial aspects of healthcare, providing new innovative solutions and treatments that can be properly tracked, measured, and analyzed.


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