Gotowa bibliografia na temat „Elsevier Applied Science (Publisher)”

The aim of this study to review the limited survey of a systematic various existing transportation problems and the application developed by different researchers and applied in some case studies. The methodology applied in this paper through various research papers that available at Google Scholar, Science direct, Elsevier, IOP and another publisher from 2014-2022 (twenty-four international researches). The main purpose of this review paper is to discuss, analyze and the existing forms of various types of transportation problems and their systematic development, Findings show that in addition to the MODI and VAM methods, other methods have also emerged to solve the transportation problem. One of them is Improve VAM (IVAM) that built by Nahar et.al (2018). IVDM on transportation or delivery strategy. Further, this paper concludes that mathematical models and algorithm method of transportation derivatives/techniques of MODI and VAM are most used to optimize single or multipurpose parameters such as distribution cost, profit earned, total transportation time etc.

Gamification has been widely cited as support for the student’sschool process. This growing interest has attracted the attention ofresearchers in the area. Therefore, a study using theWebibliominingmethod was conducted in order to map the scientific productionrelated to gamification techniques applied in education. The dataof this work were researched in the Scopus (Elsevier) database, consideringthe scientific production in the period from 2011 to 2020.The methodological procedures used a descriptive and exploratoryresearch, with a quantitative approach. The results showed 2.911articles with the terms “Education AND Gamification”. After a bibliometricanalysis, it was found that the “peak” of production was inthe year 2019 with 591 articles, which correspond to a differenceof 137 records in relation to the previous year. The year 2020 wasthe year with the highest number of published articles, with 617records. The USA was responsible for 13,60% of the total publishedarticles. Computer Science was found to be the area with the mostarticles indexed (1.932), corresponding to 66,20%. We sought toselect articles to compose the “starting reference” in a bibliographicresearch on the theme "utilization of gamification in education".

The increasing advance of the new technologies applied in the retail market, make it common to sell products without the personal contact between seller and buyer, being the registration and payment of the products made in electronic equipment of self-checkout. The large-scale use of these devices forces the consumer to participate in the service process, which was previously done through interaction with the company's employees. The user of the self-checkout system thus performs all the steps of the purchase, from weighing the products, registering them and making the payment. This is seen as a partial employee, whose participation or performance in providing services can be used by the company to improve the quality of its operations (KELLEY, et al 1993). However this participation does not always satisfy the user, and may cause negative experiences related to usability failures. This article presents the results of the evaluation by the users of the self-checkout system. The data were collected in Portugal through a questionnaire to 400 users. The study analyzes the degree of satisfaction regarding the quality and usability of the system, the degree of motivation for its adoption, as well as the profile of the users. Analysis of the sample data reveals that users have basic or higher education and use new technologies very often. They also have a high domain of the system and an easy learning of its use. The reason for using self-checkout instead of the traditional checkout is mainly due to "queues at checkout with operator" and "at the small volume of products". In general, the sample reveals a high degree of satisfaction with the service and with quality, however, in comparative terms, self-checkout is not considered better than operator checkout. The evaluation of the interaction with the self-checkout was classified according to twenty-six attributes of the system. The analysis identifies five groups with similar characteristics, of which two have low scores. "Cancellation of registered articles", "search for articles without a bar code", "manual registration", "bagging area", "error messages", "weight sensor" and “invoice request "are seven critical attributes of the system. The results indicate that the usability analysis oriented to the self-checkout service can be determinant for the user-system interaction. The implications of empirical findings are discussed together with guidelines for future research.Keywords: Interaction Design, Self service, Self-checkout, User evaluation, UsabilityReferencias ABRAHÃO, J., et al (2013). Ergonomia e Usabilidade. 1ª Edição. São Paulo: Blucher. ALEXANDRE, J. W. C., et al (2013). Análise do número de categorias da escala de Likert aplicada à gestão pela qualidade total através da teoria da resposta ao item. In: XXIII Encontro Nacional de Engenharia de Produção, Ouro Preto. BOOTH, P. (2014). An Introduction to Human-Computer Interaction (Psychology Revivals). London Taylor and Francis. CASTRO, D., ATKINSON, R., EZELL, J., (2010). Embracing the Self-Service Economy, Information Technology and Innovation Foundation. Available at SSRN: http://dx.doi.org/10.2139/ssrn.1590982 CHANG, L.A. (1994). A psychometric evaluation of 4-point and 6-point Likert-type scale in relation to reliability and validity. Applied Psychological Measurement. v. 18, n. 2, p. 05-15. DABHOLKAR, P. A. (1996). Consumer Evaluations of New Technology-based Self-service Options: An Investigation of Alternative Models of Service Quality. International Journal of Research in Marketing, Vol. 13, pp. 29-51. DABHOLKAR, P. A., BAGOZZI, R. P. (2002). An Attitudinal Model of Technology-based Selfservice: Moderating Effects of Consumer Traits and Situational Factors. Journal of the Academy of Marketing Science, Vol. 30 (3), pp. 184-201. DABHOLKAR, P. A., BOBBITT, L. M. & LEE, E. (2003). Understanding Consumer Motivation and Behavior related to Self-scanning in Retailing. International Journal of Service Industry Management, Vol. 14 (1), pp. 59-95. DIX, A. et al (2004). Human-Computer Interaction. Third edition. Pearson/Prentice-Hall. New York. FERNANDES, F. et al, (2015). Do Ensaio à Investigação – Textos Breves Sobre a Investigação, Bernabé Hernandis, Carmen Lloret e Francisco Sanmartín (Editores), Oficina de Acción Internacional - Universidade Politécnica de Valência Edições ESAD.cr/IPL, Leiria. HELANDER, M., LANDAUER, T., PRABHU, P. (1997). Handbook of Human – Computer Interaction. North–Holland: Elsevier. KALLWEIT, K., SPREER, P. & TOPOROWSKI, W. (2014). Why do Customers use Self-service Information Technologies in Retail? The Mediating Effect of Perceived Service Quality. Journal of Retailing and Consumer Services, Vol. 21, pp. 268-276. KELLEY SW, HOFFMAN KD, DAVIS MA. (1993). A typology of retail failures and recoveries. J Retailing. 69(4):429 – 52.