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Sökning: WFRF:(Avdic Anders 1950 )

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1.
  • Avdic, Anders, 1950-, et al. (författare)
  • Searching reference databases : what students experience and what teachers believe that students experience
  • 2010
  • Ingår i: Journal of Librarianship and Information Science. - London : Sage. - 0961-0006 .- 1741-6477. ; 42:4, s. 224-235
  • Tidskriftsartikel (refereegranskat)abstract
    • The Internet has made it possible for students to access a vast amount of high quality references when writing papers. Yet research has shown that the use of reference databases is poor and the quality of student papers is consequently often below expectation. The objective of this paper is twofold. First, it aims to describe the problems students experience when they search information using a university reference database. Second it aims to compare the perspective of students on the problems with that of their teachers. As basis for the study we have used the Unified Theory of Acceptance and Use of Technology (UTAUT) model. A web-based survey was carried out. A total of 150 students at Örebro University in Sweden participated in the survey. The results have been analysed by comparison of median values. Results show that students experience problems mostly in the category of efforts expectancy. Differences between the two groups are most significant in the category of effort expectancy and students’ patience in searching. Teachers are more pessimistic about students’ capacity in information searching than the students themselves.
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2.
  • Avdic, Anders, 1950- (författare)
  • Användare och utvecklare : om anveckling med kalkylprogram
  • 1999
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • I avhandlingen behandlas förutsättningar och effekter av kalkylprogramanveckling (KPA). KPA utförs av anvecklare, som fungerar både som användare och utvecklare. Anvecklare har djup verksamhetskunskap och viss verktygskunskap. Systemet, som anvecklaren utvecklar med kalkylprogram, kallas kalkylsystem. Den grundläggande forskningsfrågan i avhandlingen är: "Vilka nya möjligheter får användare att utföra arbetsuppgifter då de själva kan bygga informationssystem?" Avhandlingens syfte är att formulera en begreppsmodell över vilka förutsättningar och effekter, som gäller för kalkylprogramanveckling.Avhandlingens strategi kan sägas vara kvalitativ, hermeneutisk, abduktiv och empirinära. Fyra empiriska studier har genomförts. Empiri har i stor utsträckning styrt studier av relaterad teori. Den praktikgeneriska modellen har använts som referensmodell i avhandlingen, vilket har lett till ett synsätt, som innebär att när anvecklaren anvecklar, agerar han i minst två praktiker, utvecklarpraktiken och huvudpraktiken. Varje praktik har sin uppsättning av förutsättningar, t ex kunskap, normer och verktyg.Den integrerade karaktären på anveckling, gör interaktivitet i utvecklingsarbetet möjlig, vilket i sin tur innebär att anvecklaren snabbt kan växla mellan utveckling och användning. Ökad verktygskunskap kan innebära att anvecklaren ökar sin verksamhetskunskap. Då anvecklarens verksamhetskunskap ökar, ökar möjligheterna att analysera och ifrågasätta verksamheten. Anveckling innebär också att hänsyn kan tas till svårformaliserbara mål och normer, samt att formalisering av tyst kunskap möjliggörs. Anveckling i en miljö med lokala nätverk förenklar möjligheterna att distribuera kalkylsystem för granskning och verifiering. Kalkylsystemets transparens underlättar analys och diskussion. I avhandlingen diskuteras anveckling som ett sätt att hantera kontinuerlig omvärldsförändring på ett sätt som kan innebära omprövning av normer i verksamheten. Då anveckling betraktas som en form av systemutveckling, skiljer sig anveckling starkt från traditionell systemutveckling i och med att anveckling kännetecknas av integration, medan traditionell systemutveckling kännetecknas av specialisering. 
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3.
  • Song, William Wei, 1960-, et al. (författare)
  • An Euclidean similarity measurement approach for hotel rating data analysis
  • 2017
  • Ingår i: Proceedings 2017 2nd IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2017. - 9781509044986 - 9781509044993 ; , s. 293-298
  • Konferensbidrag (refereegranskat)abstract
    • The most widely used method in recommendation systems is collaborative filtering, of which, a critical step is to analyze a user's preferences and make recommendations of products or services based on similarity analysis with other users' ratings. However, collaborative filtering is less usable for recommendation facing the 'cold start' problem, i.e. few comments being given to products or services. To tackle this problem, we propose an improved method that combines collaborative filtering and data classification. We use hotel recommendation data to test the proposed method. The accuracy of the recommendation is determined by the rankings. Evaluations regarding the accuracies of Top-3 and Top-10 recommendation lists using the 10-fold cross-validation method and ROC curves are conducted. The results show that the Top-3 hotel recommendation list proposed by the combined method has the superiority of the recommendation performance than the Top-10 list under the cold start condition in most of the times.
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4.
  • Song, William Wei, 1960-, et al. (författare)
  • Collaborative Filtering with Data Classification : A Combined Approach to Hotel Recommendation Systems
  • 2016
  • Ingår i: 25th International Conference on Information Systems Development (ISD2016 Poland).
  • Konferensbidrag (refereegranskat)abstract
    • Recommendation systems aim to help users make decisions more efficiently. The most widely used method in recommendation systems is collaborative filtering, of which, a critical step is to analyze a user's preferences and make recommendations of products or services based on similarity analysis with other users' ratings. However, collaborative filtering is less usable for recommendation facing the "cold start" problem, i.e. few comments being given to products or services. To tackle this problem, we propose an improved method that combines collaborative filtering and data classification. We use hotel recommendation data to test the proposed method. The accuracy of the recommendation is determined by the rankings. Evaluations regarding the accuracies of Top-3 and Top-10 recommendation lists using the 10-fold cross-validation method and ROC curves are conducted. The results show that the Top-3 hotel recommendation list proposed by the combined method has the superiority of the recommendation performance than the Top-10 list under the cold start condition in most of the times.
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6.
  • Abbas, Asad, et al. (författare)
  • Framework of Collaboration in Knowledge Transfer of High Technology Industries
  • 2018
  • Ingår i: Quality - Access to Success. - 1582-2559 .- 2069-2242. ; 19:163
  • Tidskriftsartikel (refereegranskat)abstract
    • Purpose - The concept of Triple Helix relates to collaboration between universities, governments and industry. Such collaboration can take different forms in different countries. This paper examines collaboration between universities and industry in China, specifically in the city of Hefei in Anhui province, one of the most rapidly developing regions in the country. In so doing, it seeks to address the research question: How does industry collaborate with universities in order to acquire commercialized knowledge? Design/ Methodology/ Approach - The study is qualitative, based on interviews with experts in R & D, and Intellectual Property Rights from high-tech companies based in Hefei. We analyzed our findings using a conceptual framework that focuses on Knowledge Transfer and Innovation Diffusion (Liyanage et al, 2012). Our study describes and discusses the entire process, from an initial awareness of new knowledge to its eventual acquisition.Findings and implications - We conclude that Chinese high-tech companies design comprehensive strategies for the acquisition of knowledge generated from external sources. These strategies are based on local, provincial and state government industrial policies that aim to support collaboration with universities and implement external knowledge in existing systems.Originality - Commercialized knowledge put into practice by industries for their own innovation and commercial purposes.Limitation - We interviewed industrial experts from three high-tech companies in the city of Hefei, which is located in an industrial area of Anhui province.
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7.
  • Abbas, Asad, et al. (författare)
  • Process of knowledge transfer from universities to industry through the University of Technology Transfer Offices in China : The case of Anhui province
  • 2018
  • Ingår i: Science and Innovation. - : National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka) (Publications). - 2409-9066 .- 2413-4996. ; 14:2, s. 5-18
  • Tidskriftsartikel (refereegranskat)abstract
    • Introduction. This paper focuses on knowledge generation and the way in which it is transferred from universities to industry. Most well reputed universities have several departments and university-run enterprises that engage in research. The purpose of these research units is to help universities provide breakthrough innovation through the generation of new knowledge.Problem Statement. For this we chose to study China's University Technology Transfer Offices (UTTOs) to gather concrete evidence of university knowledge generation for commercial use in industry. The objective of this study is get indepth information about the role of UTTOs in the transfer of such knowledge.Purpose. The generation of new knowledge contributes to the field of science and technology; in turn, industry can use this knowledge to produce new innovative products or improve existing ones. This study aims to identify the process of knowledge transfer from universities to industry in China.Materials and Methods. Our study was carried out as a qualitative case study in the Anhui province of China. Data was mainly collected through semi-structured interviews with technology transfer experts working in technology transfer offices. Collected data were analyzed using a knowledge transfer model with six phases: 1) awareness, 2) acquisition, 3) transformation, 4) association, 5) application, and 6) feedback.Results. In China, universities and their research groups dominate in the generation and commercialization of research results, with UTTOs acting as technology bridges between the two parties, as well as providing legal and business services.Conclusions. This paper contributes by offering a detailed description of the knowledge transfer process and specifically the role and activities of UTTOs. This research also helps Chinese and international researchers currently carrying out research on the technology transfer process in China.
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8.
  • Abbas, A., et al. (författare)
  • Reasons for the failure of government IT projects in Pakistan : A contemporary study
  • 2017
  • Ingår i: 2017 International Conference on Service Systems and Service Management. - : IEEE conference proceedings. - 9781509063703
  • Konferensbidrag (refereegranskat)abstract
    • After the introduction of information technology (IT), the government needs to take the initiative to start IT projects for the automation of government process to the citizen. Statistics show that a high number of government IT projects fail and only 15 percent e-government projects are successful. In this study, we will answer this research question, what are the reasons for failure of IT projects in the government sector organization in Pakistan and how to overcome these issues? This research was conducted through a literature review, 20 articles from journals and conferences were selected through keywords for the period of ten years from 2003 to 2013. For suggestions, we have followed the same structured search procedure. We found and select articles with our keywords, after reading abstract and conclusion. Our study has described four factors for the failure of IT projects in government sector organizations in Pakistan. These factors are Technology, Management, Politics and Finance. The technology factor can be reduced by providing latest ICT infrastructure with an expert to run and maintain it. Management issues can be resolved by hiring an experienced, skilled and highly motivated project manager to complete a project successfully. Government should make new laws and regulations to help the implementation of these projects and bureaucracy should eliminate any power struggle during and after the implementation. The budget should be allocated before the start of the project to complete it on time. Our research study has provided guidelines to policy makers for automation of government organizations in Pakistan. By considering these suggestions, successful government projects can be achieved.
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10.
  • Abbas, Asad, et al. (författare)
  • University-government collaboration for the generation and commercialization of new knowledge for use in industry
  • 2019
  • Ingår i: Journal of Innovation and Knowledge. - : Elsevier. - 2530-7614 .- 2444-569X. ; 4:1, s. 23-31
  • Tidskriftsartikel (refereegranskat)abstract
    • The concept of Triple Helix relates to collaboration between universities, governments and industry. Such collaboration can take different forms in different countries. This paper describes collaboration between universities and government in China, specifically in the city of Hefei in Anhui province, one of the most rapidly developing regions in the country. The research question is: How can bi-lateral research collaboration be a source of knowledge generation and commercialization for use in industry?The study is qualitative, involving individual and group interviews with university team leaders and team members from successful projects. Government representatives in China were also interviewed. We used the SECI knowledge creation method to analyze the findings. We also describe the collaboration process from idea and application through to review, funding, realization and commercialization. Our study shows that the government in China plays a dominant role in the process of knowledge creation and commercialization. We conclude that collaboration is a source of new knowledge generation and that the government plays a key role by funding universities and creating a research environment that meets the policy requirements of industry today. In particular, we show that universities and their research groups use resources, such as skilled manpower, laboratories and equipment, to accomplish tasks within a set timeframe.
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