6 resultados para Trend chasing

em Aston University Research Archive


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Predicated on the assumption that employee careerist orientation resulting from organizational actions to cut costs constitutes a potential threat to their long-term profitability and success, this study proposed and tested a social exchange model of careerist orientation in the People's Republic of China. Specifically, it was hypothesized that organizational justice and career growth opportunities will be related to careerist orientation, but the relationship will be mediated by trust in employer. Structural equation modeling results provided support for the model. Trust in organization fully mediated the relationship between careerist orientation and its antecedents.

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The thesis investigates the properties of two trends or time series which formed a:part of the Co-Citation bibliometric model "X~Ray Crystallography and Protein Determination in 1978, 1980 and 1982". This model was one of several created for the 1983 ABRC Science Policy Study which aimed to test the utility of bibliometric models in a national science policy context. The outcome of the validation part of that study proved to be especially favourable concerning the utility of trend data, which purport to model the development of speciality areas in science over time. This assessment could have important implications for the use of such data in policy formulation. However one possible problem with the Science Policy Study's conclusions was that insufficient time was available in the study for an in-depth analysis of the data. The thesis aims to continue the validation begun in the ABRC study by providing a detailed.examination of the characteristics of the data contained in the Trends numbered 11 and 44 in the model. A novel methodology for the analysis of the properties of the trends with respect to their literature content is presented. This is followed by an assessment based on questionnaire and interview data, of the ability of Trend 44 to realistically model the historical development of the field of mobile genetic elements research over time, with respect to its scientific content and the activities of its community of researchers. The results of these various analyses are then used to evaluate the strenghts and weaknesses of a trend or time series approach to the modelling of the activities of scientifiic fields. A critical evaluation of the origins of the discovered strengths and weaknesses.in the assumptions underlying the techniques used to generate trends from co-citation data is provided. Possible improvements. to the modelling techniques are discussed.

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Researchers express concern over a paucity of replications. In line with this, editorial policies of some leading marketing journals now encourage more replications. This article reports on an extension of a 1994 study to see whether these efforts have had an effect on the number of replication studies published in leading marketing journals. Results show that the replication rate has fallen to 1.2%, a decrease in the rate by half. As things now stand, practitioners should be skeptical about using the results published in marketing journals as hardly any of them have been successfully replicated, teachers should ignore the findings until they receive support via replications and researchers should put little stock in the outcomes of one-shot studies.

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As the number of using 3PL providers are increasing rapidly in recent years, 3PL providers play a major role in the logistics industry. Due to customers demands are raising and changing, it has facilitated 3PL providers to invest IT systems that could meet customer requirements and create competitive advantage. The use of IT systems could assist 3PL providers to achieve supply chain visibility and enhance supply chain collaboration with business partners. In this paper, it is mainly focus on the Europe and Far East 3PL providers in terms of current and future IT systems, IT motivators and barriers, as well as the future supply chain demands that address by IT systems. The common IT system that implemented in both regions is information technology, which is mainly used to collaborate and share information with supply chain partners. Some of the common motivations and barriers were existed and 3PL providers need to be understood. Given the future demands of IT implementation and supply chain collaboration, IT systems such as RFID and integration systems would be strongly focus in the future. The suggestion about the advanced integration system such as business process management (BPM) could be the next key IT systems in the future logistics industry. © 2012 AICIT.

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Purpose - This research note aims to present a summary of research concerning economic-lot scheduling problem (ELSP). Design/methodology/approach - The paper's approach is to review over 100 selected studies published in the last 15 years (1997-2012), which are then grouped under different research themes. Findings - Five research themes are identified and insights for future studies are reported at the end of this paper. Research limitations/implications - The motivation of preparing this research note is to summarize key research studies in this field since 1997, when the ELSP problems have been verified as NP-hard. Originality/value - ELSP is an important scheduling problem that has been studied since the 1950s. Because of its complexity in delivering a feasible analytical closed form solution, many studies in the last two decades employed heuristic algorithms in order to come up with good and acceptable solutions. As a consequence, the solution approaches are quite diversified. The major contribution of this paper is to provide researchers who are interested in this area with a quick reference guide on the reviewed studies. © Emerald Group Publishing Limited.

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This paper demonstrates a mechanism whereby rules can be extracted from a feedforward neural network trained to characterize the inflation "pass-through" problem in American monetary policy, defined as the relationship between changes in the growth rate(s) of individual commodities and the economy-wide rate of growth of consumer prices. Monthly price data are encoded and used to train a group of candidate connectionist architectures. One candidate is selected for rule extraction, using a custom decompositional extraction algorithm that generates rules in human-readable and machine-executable form. Rule and network accuracy are compared, and comments are made on the relationships expressed within the discovered rules. The types of discovered relationships could be used to guide monetary policy decisions.