Search results

Efficient market hypothesis implies that the past price movements do not help forecast future price movements. Thus, it is impossible to consistently benefit by a technical trading strategy. On the other hand, technical analysts claim that the historical price movements are useful in predicting future price movements. These two lines of arguments are mutually contradictory. This paper reasonably assumes that the more efficient markets are, the worse will be the investment performance of technical analysis, and that as financial market‘s trading volume grows and with the elapse of time, the efficiency of markets should improve. This implies that after the launch of a new financial asset, market efficiency would improve with increased trading and elapsed time. In this paper, the duration analysis technique is used as a forecasting model and applied to measure the efficiency of Korean futures market and the won/dollar exchange rate market.

This study examines factors that affect customer lifetime value (CLV) in fast-food restaurants (FFRs) in Jordan. These factors are relational benefits, brand experiences, service quality (SQ), satisfaction, trust and commitment.

An online survey was collected from a sample of 503 respondents. The authors used SPSS to test the constructs' relationships and analyse the data. SmartPLS was used to test the hypotheses.

In contrast to previous studies, not all dimensions of brand experiences and relational benefits had a significant and positive influence on relationship marketing outcomes (satisfaction, trust and commitment). On the other hand, results demonstrated that SQ had a significant and positive influence on relationship marketing outcomes. Furthermore, research reveals that satisfaction, trust and commitment significantly and positively influenced CLV.

Those FFRs that seek to enhance CLV should build solid and sustainable bonds with their customers. This paper concludes by stating its implications, its limitations and the opportunities available for future research.

This study, which is unique in the Middle East, includes essential strategies for managing customer relationship that can be universally applied to improve customer benefits and maximise the performance of businesses.

China is currently developing and promoting an industrial cluster policy at the government level. By enacting the ‘Opinion on promoting industrial cluster development’, China is supporting the development of industrial clusters. Building an industrial cluster is done by using a single factor but requires many additional factors like regional characteristics, competitiveness factors are also diversified. To evaluate the competitiveness of the Chinese automobile industry cluster, a competitiveness element index should be developed and a competitiveness evaluation method is needed to evaluate the importance of each element. To accomplish this objective, this research applied the analytic hierarchy process (AHP) and focused on the importance of the competitiveness elements.

This research investigated the character is tics regarding cases of clusters and also analyzed the competitiveness of the Changchun automobile cluster located in northeastern China. The purpose of this research is to help Korean enterprises who enter China in the hopes that Korea will emerge as a top automobile production country.

This paper aims to concentrate on recent innovations in flexible wearable sensor technology tailored for monitoring vital signals within the contexts of wearable sensors and systems developed specifically for monitoring health and fitness metrics.

In recent decades, wearable sensors for monitoring vital signals in sports and health have advanced greatly. Vital signals include electrocardiogram, electroencephalogram, electromyography, inertial data, body motions, cardiac rate and bodily fluids like blood and sweating, making them a good choice for sensing devices.

This report reviewed reputable journal articles on wearable sensors for vital signal monitoring, focusing on multimode and integrated multi-dimensional capabilities like structure, accuracy and nature of the devices, which may offer a more versatile and comprehensive solution.

The paper provides essential information on the present obstacles and challenges in this domain and provide a glimpse into the future directions of wearable sensors for the detection of these crucial signals. Importantly, it is evident that the integration of modern fabricating techniques, stretchable electronic devices, the Internet of Things and the application of artificial intelligence algorithms has significantly improved the capacity to efficiently monitor and leverage these signals for human health monitoring, including disease prediction.