164,379 research outputs found
Psychological and cultural insights into consumption of luxury western brands in India
India has always had wealthy elites such as the maharajas, upper class and royalty that consume luxury products throughout its consumption history. The relatively recent economic rise of the middle class with an increase in disposable income is leading to consumption of luxury en mass. This qualitative study examines why consumers buy luxury, what they believe luxury is and how their perception of luxury impacts buying behaviour in the context of India. The present study explores luxury constructs drawn from the literature and provides some explanation for luxury consumption behaviour in India. The findings reveal that psychological and cultural factors in Indian society play a major part in shaping luxury consumption. While the findings suggest little support for homogenous luxury preference, Indian consumers share cultural characteristics of lavish consumption of luxury and display of wealth in social functions. Luxury reflects conspicuous consumption and status, and signals wealth for individuals, and conveys social identity and status in Indian society
Arnold, G H (Aircraft Eng ), 2685
This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/369084Surname: ARNOLD
Given Name(s) or Initials: G H (AIRCRAFT ENG )
Military Service Number or Last Known Location: 2685
Missing, Wounded and Prisoner of War Enquiry Card Index Number: 11420179126
Item: [2016.0049.01411] "Arnold, G H (Aircraft Eng ), 2685
Disparity between college preparation and career demands for graduating engineers
The engineering profession has traditionally been a technical field based on theoretical and scientific discipline. In addition to the technical knowledge and hard skills, engineers must acquire sufficient soft skills in personal and interpersonal behavior to meet current employment market standards. This research identifies learning deficiencies that hinder the effectiveness of practicing engineers. Based on the ABET (Accreditation Board for Engineering and Technology) criteria, three categories of skills were tested: technical, interpersonal, and personal indicators. Research questions were as follows: Did engineers acquire these skills before graduation? How important are these skills to them as practicing engineers? Are there any differences in their perceptions of gender, work experience, or work location? A sample of 188 engineers who graduated from universities in Lebanon completed an online survey assessing their proficiencies before graduation and after starting their profession. Fifteen engineers were interviewed to gather information about the skills necessary for their career. Although participants reported that they possessed adequate theoretical knowledge and technical skills, noticeable weaknesses in creativity and innovation were found. Interpersonal and personal skills in leadership, management, and multidisciplinary teamwork were the most overlooked aptitudes in college despite their importance in work settings.Dahlgren MA, 2006, STUD HIGH EDUC, V31, P569, DOI 10.1080-03075070600923400; Akili W., 2005, ASEE IEEE FRONT ED C; Akili W., 2008, 2 C PLANN DEV ED SCI; Badawy M. K., 1981, MACH DES, V53, P91; Baytiyeh H, 2010, INT J ENG EDUC, V26, P1192; Baytiyeh H., 2010, 40 ASEE IEEE FRONT E; Bodgan R. C., 2007, QUALITATIVE RES ED; Chehade S. M., 2001, ED ENG 21 CENTURY; Crawford S, 1989, TECHNICAL WORKERS AD; CRDP, 2011, GEND DISTR SPEC LEB; Creswell J. W., 2003, RES DESIGN QUALITATI; Deans J., 1999, EUROPEAN J ENG ED, V24, P151, DOI 10.1080-03043799908923550; Dewey J., 1915, SCH TOMORROW; Domal V., 2008, AUSTR ASS ENG ED 200; Domal V., 2008, AM ASS ENG ED ASEE A; Eckert C., 2004, INT DES C; Flannes S., 2005, ESSENTIAL PEOPLE SKI; Fletcher JK, 1999, DISAPPEARING ACTS GE; Hettich P., 2000, P 108 AM PSYCH ASS; Johnston B, 2003, STUD HIGH EDUC, V28, P413, DOI 10.1080-0307507032000122260; Jonassen D, 2006, J ENG EDUC, V95, P139; Lang J.D., 1999, J ENG EDUC, V88, P43; Martin R., 2005, European Journal of Engineering Education, V30, DOI 10.1080-03043790500087571; Meiksins P., 1996, ENG LABOR TECHNICAL; Pearce B., 2008, MAKING SOCIAL WORLDS; Prados JW, 2005, J ENG EDUC, V94, P165; Pudlowski Z. J., 1996, INT J INGENIUM, V2, P61; RYNES SL, 1988, J VOCAT BEHAV, V32, P239, DOI 10.1016-0001-8791(88)90017-6; Sageev P., 2001, J ENG EDUC, V90, P685; Sagen HB, 2000, RES HIGH EDUC, V41, P753, DOI 10.1023-A:1007072705601; Sedge S. K., 1985, J VOCAT BEHAV, V30, P138; Sheppard S, 2006, INT J ENG EDUC, V22, P429; Shuman LJ, 2005, J ENG EDUC, V94, P41; Solomon F. L., 1993, INT J ENG EDUC, V9, P442; Speck M., 2005, WHY CANT WE GET IT R; Tang S., 2009, 20 AUSTR ASS ENG ED; Teddlie C., 2003, HDB MIXED METHODS SO; Trevelyan J, 2007, J PROF ISS ENG ED PR, V133, P300, DOI 10.1061-(ASCE)1052-3928(2007)133:4(300); Trevelyan J, 2007, J ENG EDUC, V96, P191; Zussman R., 1985, MECH MIDDLE CLASS WO44
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
The Role of Relationally Embedded Network Ties in Resource Acquisition of British Nonprofit Organizations
As nonprofit and charity organizations face increasing competition, there have been growing interests in how nonprofit organizations conduct commercial activities to raise funds as well as grow their business. However, there is lack of prior research about market-oriented and/or commercial activities in the context of nonprofit business. This study examines the process of how nonprofit organizations use relationally embedded network ties to acquire financial, human, and human capital resources to fulfill their social mission and achieve business growth. The study investigates commercial activity of three U.K.-based nonprofit organizations using the case study method. The findings contribute to insights into components of network ties for acquiring three different network resources of financial, human, and human capital. Nonprofit organizations leverage social mission to improve their ability to acquire network resources. The findings also suggest the charity and social mission of nonprofit business enhance trustworthiness in relationally embedded network ties for resource acquisition
Robust outlier detection in high-density surface electromyographic signals
Conf Proc IEEE Eng Med Biol Soc. 2010;2010:4850-3. PubMed PMID: 2109664
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Contributing factors in pursuit of a Ph.D. in engineering: The case of lebanon
Little is known about why students choose to enrol in post-graduate studies. Going through a Ph.D. degree is often seen as a risky decision. This study offers responses' analysis of two groups; the first consists of 274 graduate students enrolled in various engineering programmes in Lebanon and the second consists of 187 working engineers. Both groups of participants completed a survey investigating the factors that may impact on their decision to pursue a Ph.D. Based on the Theory of Reasoned Action, the Likert-scaled items aimed to identify the attitudinal and normative factors leading to the intention of enrolling in Ph.D. An independent t-test revealed no significance between students and engineers' intention.Anexploratory factor analysis provided four factors: professional attitude, social attitude, financial attitude and subjective norm. Using multiple regression technique, the professional attitude appeared to be the main contributor to students' and engineers' intention. The findings are discussed and recommendations for future studies are offered. Copyright © 2011 TEMPUS Publications.AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016-0749-5978(91)90020-T; Ajzen I., 1980, UNDERSTANDING ATTITU; AKBULUT AY, 2008, J COMPUTER INFORM SY, P84; ALI A, 2007, INT J DOCTORAL STUDI, V2, P33; Austin A. E., 2009, INT J ACAD DEV, V14, P173; Baytiyeh H, 2010, INT J ENG EDUC, V26, P1192; Carpinelli J. D., 2007, 1 INT C RES ENG ED; CGS, 2009, 1 TIM ENR FLAT INT G; Chehade S. M., 2001, ED ENG 21 CENTURY; CHURCHILL H, 2007, GETTING YOUR PH D IN; Cohen J., 1993, ISSUES ACCOUNTING ED, V8, P219; Denholm C., 2009, DOCTORATES DOWNUNDER; FIELD A., 2005, DISCOVERING STAT USI; FREHILL L, 2007, SOC WOMEN ENG, V53, P1; Gill T Grandon, 2009, International Journal of Doctoral Studies, V4; Golde CM, 2005, J HIGH EDUC, V76, P669, DOI 10.1353-jhe.2005.0039; Hilpert J., 2009, 39 ASEE IEEE FRONT E; Hirsh L. S., 2003, 33 ASEE IEEE FRONT E; Ho R., 2006, HDB UNIVARIATE MULTI; Hossler D., 1999, GOING COLL SOCIAL EC; KAISER HF, 1970, PSYCHOMETRIKA, V35, P401, DOI 10.1007-BF02291817; Kim J-O, 1978, FACTOR ANAL STAT MET; LENT RW, 1994, J VOCAT BEHAV, V45, P79, DOI 10.1006-jvbe.1994.1027; Lovitts B. E., 2001, LEAVING IVORY TOWER; MARE RD, 1980, J AM STAT ASSOC, V75, P295, DOI 10.2307-2287448; Mullen AL, 2003, SOCIOL EDUC, V76, P143, DOI 10.2307-3090274; *NCES, 2009, PROJ ED STAT 2009; Nguyen DQ, 2000, INT J ENG EDUC, V16, P286; Powell S., 2007, DOCTORATE WORLDWIDE; SHEPPARD BH, 1988, J CONSUM RES, V15, P325, DOI 10.1086-209170; Sohn SY, 2010, INT J ENG EDUC, V26, P205; Stiber G. F., 2000, J MARKETING HIGHER E, V10, P13, DOI 10.1300-J050v10n01_02; STOLZENBERG RM, 1994, AM J SOCIOL, V99, P1042, DOI 10.1086-230371; Tabachnick B. G., 2007, USING MULTIVARIATE S; Zhang LF, 2007, THINK SKILLS CREAT, V2, P118, DOI 10.1016-j.tsc.2007.09.0010
A methodology for combining development and research in teaching undergraduate software engineering
In the most part, undergraduate students have been participating in research by working on faculty projects through which they primarily contribute to the implementation and testing of algorithms and systems. This paper presents a methodology that focuses on teaching students the skills of doing research. The approach taken is based on integrating a research component into a third-year undergraduate software engineering course. In this particular case, student groups studied a relatively large number of journal papers relating to a specific source software engineering topic in each semester the course was given, generated summaries, came up with ideas for research topics, pursued the research and wrote papers that described their work. We illustrate how the research component was integrated with the other components of the course, namely the software development project and lectures. The paper concludes with an assessment of what students have learned and a summary of the outcomes of the course in addition to the learned lessons. © 2008 TEMPUS Publications.Bagert D. J., 1999, CMUSEI99TR032; BOGUCZ E, 1995, P ASEE C, V1, P1; DAVOODI H, 1999, P FRONT ED C, V3, P19; GREENDYKE R, 2002, P FRONT ED C, V3; Humphreys S. M., 1997, P FRONIERS ED C, V3, P1137, DOI 10.1109-FIE.1997.632617; Johann P., 2001, Computer Science Education, V11, DOI 10.1076-csed.11.4.279.3830; JOVALEKIC S, 1996, P FRONT ED C, V2, P501; KURLAND M, 1995, P ENG ED 21 CENT C, V2, P1; LOPEZ A, 1994, P SIGCSE TECHN COMP, V26, P271; *NSF, 2005, RES EXP UND; PASSOS N, 1997, J COMPUTING SMALL CO, V12, P48; PASSOS N, 1999, P FRONT ED C, V3, P7; Pfleeger S.L., 2001, SOFTWARE ENG THEORY; Sabatini DA, 1997, J PROF ISS ENG ED PR, V123, P98, DOI 10.1061-(ASCE)1052-3928(1997)123:3(98); Shah M, 2001, IEEE T EDUC, V44, P252, DOI 10.1109-13.940996; *WEBCT INC, 2004, WEBCT CAMP ED DAT; 2006, REV UNDERGRADUATE RE; 2006, CALTECH UNDERGRADUAT; 2006, NAT C UN RES73
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