Study of emerging air taxi network operation using discrete-event systems simulation approach

This research focuses on understanding the air taxi operations to determine the number of air taxis required to fulfill the demand for urban air mobility in New York City (NYC). We leverage the Define, Measure, Analyze, Design, and Verify (DMADV) framework and integrate it with the systems simulation approach. Upon investigation, we find that all the parameters linearly impact the vehicle utilization, while other measures are robust, specifically with respect to the seating capacity. It is also recommended to operate initially with 70 air taxis in NYC to achieve a trade-off between customer wait time and vehicle utilization. The proposed approach can act as a recommender system for air taxi companies.     

How to increase multichannel shopping satisfaction? An adapted Kano based stage-gate approach to select new technologies

Today, brick-and-mortar retailers with integrated online shops have many alternatives to increase their customers’ shopping satisfaction: They could invest in (for the retailers) new physical store technologies (e.g., beacons or magical mirrors if not implemented up to now), new online shop technologies (e.g., visual tagging or webcams), or in new less technology-based improvement options (e.g. events or product testing). We propose an adapted Kano based stage-gate approach to support multichannel retailers confronted with such selection problems. The approach is applied to a major European sporting goods retailer. 37 improvement options are pre-selected and evaluated by current and potential customers. It can be shown that instore returns, instore services, reserve&collect, click&collect, customization, product testing, and magical mirrors are drivers of satisfaction for the current customers and should be implemented in contrast to, e.g., geofencing or beacons. The potential customers are more technology-savvy, but show similar categorizations as a current customer segment and so confirm the selection.     

Upgrading peripheral wind sectors

The implementation of traditional policies does not consider institutional singularities in peripheral sectors. The main aim of this paper is to analyse the interaction among local capabilities and multinational agents to upgrade a peripheral wind sector. The case study conducted in the peripheral region of Galicia (Spain) emphasises the challenges concerning policy design and implementation in this kind of regions. The theoretical foundations are based on the systemic and evolutionary approach of the innovation system and the global value chain perspective. This combination enables to analyse how local contexts could shape governance patterns within value chains in peripheral regions. Likewise, the target approach is also applied concerning the design and implementation of a policy programme and its timing. Empirical evidences underline the complementarity of market size and foreign direct investment policies, as well as the diversification towards green transitions through enhancing local capabilities.     

高职学生问题解决能力培养途径研究——以江苏经贸职业技术学院为例

培养大学生的问题解决能力,是提高大学生综合素养的重要手段.以江苏经贸职业技术学院为例,分析目前高职学生问题解决能力的现状、面临的主要问题及处理问题的方式,研究高职学生问题解决能力的培养模型及主要途径.     

浅谈如何做好事业单位岗位设置管理工作

事业单位实施岗位设置管理工作,是事业单位人事制度改革的重大创新,涉及到单位职工的切身利益,对单位发展起到至关重要的作用。通过组织实施岗位设置管理工作的实践活动,从岗位设置管理的三个主要环节入手,对事业单位岗位设置管理工作中主要做法和需要注意的问题进行了概述,为其他事业单位的岗位设置管理工作提供借鉴。     

Bilateral Trade Balances of Malaysia with Her 11 Largest Trading Partners: New Evidence from Asymmetry Cointegration

Research on the effects of exchange rate changes on the trade balance is now moving in a new direction, by investigating whether exchange rate changes have symmetric or asymmetric effects. The approach that relies upon separating depreciations from appreciations introduces nonlinearity into the adjustment process and relies upon the nonlinear ARDL approach of Shin et al. [2014. Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework, in: R. Sickels and W. Horrace (Eds), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications, 281–314 (Springer)]. When we applied this new method to the bilateral trade balances of Malaysia with each of her 11 largest partners, we found adjustment asymmetry in all models, short-run impact asymmetry effects and long-run asymmetry effects in the trade balance models between Malaysia and Asian countries.     

CONVERTIBLE BOND PRICING MODELS

Convertible bonds are an important segment of the corporate bond market, with worldwide outstandings approaching US$235 billion. Simple pricing models value a convertible bond as being equivalent to a straight bond with an embedded option that enables the bond holder to convert to a specific amount of common stock. The straight bond is subject to both interest rate and credit risk, whereas the option to convert is dependent on the underlying stock price, which exposes the convertible bond holder to equity risk. The complexity of these features means that convertible bonds tend to be treated casually in major derivatives and corporate finance textbooks. This paper presents a survey of the theoretical and empirical aspects of convertible bond pricing. The limitations of these studies are highlighted to identify those areas of research that may improve the valuation process and facilitate the application of these securities for corporate financing.     

成本管理会计教学改革的路径选择

成本管理会计作为一门新兴的会计学科,伴随着西方各种管理理论的产生、科技进步和现代化管理水平的提高而形成和发展.成本管理会计纳入我国高校教学体系,尽管时间不长,已经展现其重要意义,但教学实践中仍然存在一些问题.为更好的适应高校为社会培养合格应用型人才的目标,探讨成本管理会计教学模式的改革,势在必行.     

Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis

We consider simple methods to improve the growth nowcasts and forecasts obtained by mixed-frequency MIDAS and UMIDAS models with a variety of indicators during the Covid-19 crisis and recovery period, such as combining forecasts across various specifications for the same model and/or across different models, extending the model specification by adding MA terms, enhancing the estimation method by taking a similarity approach, and adjusting the forecasts to put them back on track using a specific form of intercept correction. Among these methods, adjusting the original nowcasts and forecasts by an amount similar to the nowcast and forecast errors made during the financial crisis and subsequent recovery seems to produce the best results for the US, notwithstanding the different source and characteristics of the financial crisis. In particular, the adjusted growth nowcasts for 2020Q1 get closer to the actual value, and the adjusted forecasts based on alternative indicators become much more similar, all unfortunately indicating a much slower recovery than without adjustment, and very persistent negative effects on trend growth. Similar findings also emerge for forecasts by institutions, for survey forecasts, and for the other G7 countries.     

Retail career attractiveness to college students: Connecting individual characteristics to the trade-off of job attributes

This study examines how U.S. business college students evaluate the attractiveness of potential job opportunities by making trade-offs among important job attributes. Using a conjoint approach, we examine the relative importance of industry type, starting salary, five-year salary, training, benefits, and work-life balance in job choice decisions. We also examine the effects of job applicants' career expectations and core competencies on their job choice determinants. An analysis of 162 business students' evaluations of 27 job profiles indicates that five-year-salary outweighs all other attributes. Their career expectations and core competencies have a substantial influence on their ensuing job choice. We suggest recruitment strategies to target recent college graduates with consideration of individuals' different career expectations and core competencies.