Academic literature on the topic 'Dui wai cheng bao'

A decade ago, IT — through its innovations in business process reengineering — led the way in breaking down the inefficiencies within companies. Firms in the new millennium now face relentless pressure to perform better, faster, cheaper, while maintaining a high level of guaranteed results. Firms must thus focus on their core competencies and outsource all other activities. Working with a partner, however, requires breaking down the inefficiencies between organizations and coping with frequent change across the entire end-to-end value chain. In this new world of collaborative commerce and collaborative souring, a standard business process is simply inadequate. Using e-contracts to build new business relationships and to fulfill e-contracts through the Internet are important trends. E-contracting is however not a new concept. The history of e-contracting can be reviewed from legal and technology aspects. Over the last 20 years or so, a growing body of research in artificial intelligence has focused on the representation of legislation and regulations (Sergor, 1991). As specific regulations, contracts are used to regulate the actions of twoor multi-party interactions. Gardner (1987) has developed contract formation rules. Her work concerns legislation about the nature of exchanges that lead to contractual relations. The ALDUS project and Legal Expert project investigated drafting the Sale Goods contract (ALDUS, 1992) and the United Nations Convention on contracts for the international sale of goods (Yoshino 1997, 1998), respectively. Detailed information on developing logic-based tools for the analysis and representation of legal contracts can be found in Daskalopulu (1997, 1999). The law regards contracts as collections of obligations; research in this area includes automated inference methods, which are intended to facilitate application of the theory to the analysis of practical problems. The purpose of a legal e-contracting system is to clarify and expand an incomplete and imprecise statement of requirements into a precise formal specification. In the early 1990s, the development of EDI (electronic data interchange) was a significant movement for electronic commerce. EDI was considered a term that refers solely to electronic transactions and contracts (Justice Canada, 1995). EDI requires an agreement between trading partners that not only dictates a standard data format for their computerto- computer communications, but also governs all related legal issues of EDI usage. In 1987, the first set of EDI rules was named the Uniform Rules of Conduct for Interchange of Trade Data by Teletransmission (UNCID, 1987). In 1990, the American Bar Association (ABA) published a Model Trading Partner Agreement and Commentary, together with an explanatory report (Winn & Wright, 2001). In 2000 IBM submitted to OASIS (for standardization) the first example of an XML-based EDI TPA language, called Trading Partner Agreement Markup Language (tpaML). While the EDI standard introduced efficient communication channels between companies, its implementation was not widely accepted due to its high installation costs, lack of flexibility, and technological limitations (Raman, 1996). With the development of the Internet, electronic contracting began to be interpreted in broader terms. In this new view, an e-contract is not only used as a legally binding agreement between a buyer and seller, but it can also used across different workflow systems to cross different organizational business processes (Koetsier, Grefen, & Vonk, 1999; Kafeza, Chiu, & Kafeza, 2001; Cheung, Chiu & Till, 2002) to integrate different Web services (Cheung et al., 2002, 2003). E-contracting has become synonymous with business integration over electronic networks.

Traumatic rupture of the aorta (TRA) remains the second most common cause of death associated with motor vehicle crashes after brain injury. On an average, nearly 8,000 people die annually in the United States due to blunt injury to the aorta. It is observed that more than 80% of occupants who suffer an aortic injury die at the scene due to exsanguination into the chest cavity. TRA and blunt aortic injury (BAI) are leading causes of death in high-speed blunt impact trauma. More specific injuries that fall under these classifications include myocardial contusion (MC), traumatic aortic disruption (TAD), sternal fracture (SF), flail chest (FC) and tracheobronchial disruption (TBD) (Swan et al. 2001). Smith and Chang (1986) reported on 387 cases of blunt traumatic death in vehicular crashes and found that aortic injury was second only to head injury as the leading cause of death. Burkhart et al. (2001) reviewed 242 autopsy cases with fatal BAI and concluded that in most cases aortic injury was accompanied by head injury, rib fractures and/or hepatic trauma.

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.