跨国多元化的绩效研究：回顾与展望

近年来我国企业的跨国多元化经营发展迅速,然而国内有关跨国多元化的绩效研究较为少见。本文通过对相关研究成果进行回顾,归纳出跨国多元化变量的计量特点和其与公司绩效的关系模型种类,并对未来研究方向进行展望,为我国学者在未来跨国多元化的研究中提供了参考和借鉴。     

POCSAG码的接收与软件译码方法

本文及时追踪世界物流产业发展中出现的第四方物流现象,论述了加入WTO后中国物流产业所面临的严峻形势——跨国公司意图垄断中国的第四方物流市场,而后提出了应对策略。     

粮食物流信息化建设与发展

分析了粮食物流信息化建设的需求与内容，给出了典型粮食物流管理信息系统及网络模型，介绍了粮食物流信息化建设中的关键信息技术。     

Unobserved ties between corporate executives and mutual fund managers

After corporate executives relocate from origin firms to destination firms, only 3.6 percent of mutual fund managers follow the departing executives: they divest from origin firms while initiating investments in destination firms. This phenomenon is more pronounced for those funds that earned superior returns from investments in the origin firms, and that demand more information regarding the destination firms. Further, comigration funds’ holding changes in destination firms more accurately predict cumulative abnormal returns around earnings announcements than do their investments in other stocks and non‐comigration funds’ new investments. Hiring the migrating executives does not improve the destination firms’ operating performance.     

Earnings quality and corporate payout policy linkages: An Indian context

We investigate the role of accounting quality as an antecedent of dividend payout decision of firms, for both dividend levels and dividend event, in an emerging market context. Using the data for Indian firms through the years 2006–2016, we evaluate the impact of discretionary accruals on payout decision employing Tobit and Logit regression models amid set of idiosyncratic controls. We report that better earnings quality, on average, is associated with large dividend payments for Indian firms. Moreover, the likelihood of dividend payment reduces with poor earnings quality and more so when earnings manipulation is done to increase earnings. Nonetheless, we show that higher earnings quality reduces dividends during the crisis period and also for group-affiliated firms. However, the same doesn’t hold true for dividend likelihood. The relationship is robust to the idiosyncratic controls and the causality test confirms that results are not susceptible to endogeneity issue. Overall, we conclude that better earnings quality takes care of free cash flow problems and alleviates the agency and information asymmetry related costs, thereby stimulating payout policy.     

The market microstructure of the European climate exchange

This paper analyzes the market microstructure of the European Climate Exchange, the largest EU ETS trading venue. The ECX captures 2/3 of the screen traded market in EUA and more than 90% in CER. Volume growth has averaged 277% in EUA between 2005 and 2009 and 724% in CER since 2007. Spreads range from €0.0188 to €0.0406 for EUA and €0.0276 to €0.0796 for CER. The median proportion of the spread due to adverse selection reaches 76% for EUA and 75% for CER. Realized volatility, bid-ask spreads and adverse selection costs decline with verified emission releases. Market impact estimates imply that an average trade will move the EUA market by 1.06 euro centimes and the CER market 1.45. The ECX is providing between 75% and 88% of price discovery for EUA trading and between 64% and 72% for CER. We find imbalances in the order book help predict returns for up to three days. A simple trading strategy that enters the market long or short when the order imbalance is strong is profitable even after accounting for spreads and market impact.     

What influences consumers’ intention to purchase organic personal care products? The role of social reassurance

Green and organic markets have grown rapidly in recent times, thanks to the increasing global popularity of having a healthier lifestyle. Rising consumer awareness of the risks of synthetic chemicals for humans as well as the environment have boosted the demand for organic personal care products (PCPs). To better understand the micro-mechanisms guiding the organic PCPs buying process, this study builds on the social proof theory by examining the drivers leading this process in two different national contexts. Partial least squares structural equation modelling was used to conduct a multigroup analysis on a sample of 473 consumers (n = 266 from Spain, n = 207 from Italy). Findings reveal the significant role of environmental value, product knowledge, convenience & quality, and information adoption. Furthermore, the study introduces and validates the new construct ‘social reassurance’ explaining the psychological mechanisms leading the organic PCPs buying process.     

Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach

During the COVID-19 pandemic, unusual consumer behavior, such as hoarding toilet paper, was reported globally. We investigated this behavior when fears of consumer market disruptions started circulating, to capture human behavior in this unique situation. Based on the stimulus-organism-response (S-O-R) framework, we propose a structural model connecting exposure to online information sources (environmental stimuli) to two behavioral responses: unusual purchases and voluntary self-isolation. To test the proposed model, we collected data from 211 Finnish respondents via an online survey, and carried out analysis using PLS-SEM. We found a strong link between self-intention to self-isolate and intention to make unusual purchases, providing empirical evidence that the reported consumer behavior was directly linked to anticipated time spent in self-isolation. The results further revealed exposure to online information sources led to increased information overload and cyberchondria. Information overload was also a strong predictor of cyberchondria. Perceived severity of the situation and cyberchondria had significant impacts on people's intention to make unusual purchases and voluntarily self-isolate. Future research is needed to confirm the long-term effects of the pandemic on consumer and retail services.     

The effects of choice set size and information filtering mechanisms on online hotel booking

Online booking is one of the most popular ways of making reservations for hotel guests. Thus, hoteliers are paying increasing attention to hotel website information presentation and design. The purpose of this study, then, is to examine the joint influence of choice set size and information filtering mechanisms on consumers’ decision confidence towards online hotel booking. Choice set size was operationalized through 3-, 9-, and 30-hotel room choice sets. Through experimental design, this study shows that the presence of an information filtering mechanism reduces consumers’ perceptions of choice overload with a large number of choices (30 choices), whereas its impact is attenuated with smaller choice sets (3 and 9 choices). In addition, choice overload mediates the impact of choice set size on decision confidence. Theoretical contribution and managerial implications are also discussed.     

FIPIA with information entropy: A new hybrid method to assess airline service quality

This study proposes “FIPIA with information entropy” as a new, hybrid method to assess airline service quality by identifying the most important priorities for airline passengers and producing recommendations to airline management for optimal resource allocation to improve service quality and customer satisfaction. The proposed method is an improvement over IPA, IPIA and FIPA methods, through the introduction of information entropy and fuzzy logic to the analysis of importance, performance and impact dimensions of airline service quality to improve interpretability and actionability of analysis results. This study also offers airline managers a list of what they should improve in resource allocation in order to increase service quality considering customer satisfaction and create value by managing the relational capital more effectively. The new hybrid method was field-tested by administering a 26-item questionnaire to passengers of a major airline operator, analyzing the responses using the Importance-Performance-Impact Analysis (IPIA) method, fuzzy logic and information entropy. The analysis revealed four main dimensions of airline service quality, namely reliability, assurance, tangibles, empathy and responsiveness with 17 constituent attributes. The case study revealed that (1) resource allocation was adequate only on four attributes; (2) seven service quality attributes were identified as needing further management focus on resource allocation; (3) six service quality attributes received more resources than necessary which should be shifted to other attributes; (4) dimensions of reliability and tangibles needed more focus than others. The proposed hybrid method of FIPIA with information entropy can be employed for any industry where service quality depends on multiple attributes.