偏光显微镜法在空气粉尘中石棉纤维鉴别中的应用

本文采用偏光显微镜法鉴别空气粉尘中的微量石棉纤维。经滤膜收集的粉尘样品通过高温灰化及酸洗过程去除大部分干扰物质,经乙醇分散后均匀沉积在玻璃片上,滴加具有固定折射率的浸油制成试片。在正交偏光系统下观察到粉体中存在纤维状颗粒,且纤维呈现四次平行消光特性,比对6种常见石棉的偏光显微镜图,综合分析试样粉尘的光学性质,推断样品中含有温石棉。     

二代涉入、制度情境与中国家族企业创新投入——基于社会情感财富理论的研究

基于社会情感财富理论,本文以2012-2016年中国A股上市家族企业为样本,采用倾向得分匹配法,对一定制度情境下二代涉入对家族企业创新投入的影响进行实证研究。研究结果表明:二代涉入会抑制家族企业的创新投入,发生二代涉入的家族企业会更重视约束型社会情感财富,而该类社会情感财富会导致家族企业对创新投入持保守态度;制度环境对二代涉入与家族企业创新投入之间的关系具有正向调节效应,从而会缓和二代涉入对家族企业创新投入的抑制作用;政治关联对二代涉入与家族企业创新投入之间的关系具有负向调节效应,从而会加剧二代涉入对家族企业创新投入的抑制作用。据此,本文建议:发生二代涉入的家族企业不能为了加强对企业的控制而排斥引入外部优良人才或外部投资者,创始人应该注重二代成员对家族企业归属感等的培养,提升二代成员对延伸型社会情感财富的保护意愿;政府和家族企业必须共同努力推进市场化改革,藉此完善家族企业赖以生存的制度环境;家族企业应当尽量避免政治寻租等行为对创新的抑制作用。     

Factors influencing consumers' purchase decision-making in O2O business model: Evidence from consumers' overall evaluation

Online-to-offline (O2O) has become a rapidly growing e-commerce model worldwide, but the factors influencing consumers' purchase decision-making have not been examined well. After exploring the working mechanism of the O2O model, we extract eleven indexes of consumers' overall evaluation in the O2O model with Crawlzilla and R techniques. Social network analysis (SNA) is adopted to build social networks reflecting consumers' overall evaluation in the O2O model. Based on the modified social network and the extracted subgraph, this study (N = 768) reveals consumers' overall evaluation behavior patterns in the O2O model by calculating network density, central potential, edge betweenness. The results show that shoppers overall evaluate the eleven indexes, especially perceived product quality, online product price, promotion intensity, business reputation, and product brand, which reflects the significant associations between the indexes. Among all the eleven evaluation indexes, perceived product quality, online product price, and business reputation dominate consumers’ decision-making behavior. When making purchase decisions, consumers not only overall consider online product price, perceived product quality, and business reputation but also balance perceived product quality, business reputation, and promotion intensity. Finally, we make some suggestions on marketing strategy for e-commerce companies.     

An empirical examination of the effects of design elements of email newsletters on consumers’ email responses and their purchase

In this research, we empirically explore the effects of various design elements of email newsletters on consumers' email responses and their purchases. We capture the consumers' email responses using three metrics, namely email open, email click, and email reopen. We operationalize consumers' purchases as their spending on product items that are featured in email newsletters. Using a novel email marketing database, first, we model the influence of design elements of email newsletter on consumers' email responses at the individual consumer level. The email design elements constitute several email attributes, situational factors, and integrated marketing communication. Second, we quantify the effects of these three email responses, open, click, and reopen, on consumers' purchases. Our empirical results suggest a significant influence of email attributes, situational factors, and marketing communications on consumers' email responses. Furthermore, among open, click, and reopen, we find clicks tend to have the highest impact on consumers’ purchase, followed by email reopening and opening. However, email newsletters with higher opening probability are more effective in influencing purchases than those email newsletters with higher reopening probability. Furthermore, consumers who indulge in all three email responses, namely opening, clicking, and reopening, tend to purchase the most. Results from our study offer several critical insights for email marketing strategy helping managers improving the effectiveness of email campaigns by careful consideration for the design elements of email newsletters.     

Business-to-business selling in the post-COVID-19 era: Developing an adaptive sales force

The COVID-19 pandemic has changed how salespeople interact with customers and with business-to-business (B2B) organizations. Organizations must confront the shifts in how their salespeople operate. Recent research recommends firms develop an adaptive sales force to address disruptions like a pandemic and be prepared to meet such challenges in the future. Based on interviews with marketing and sales executives, we explore how firms have responded to these interconnected changes during the COVID-19 pandemic and offer insight into best practices deployed across industries.     

市域(郊)铁路车辆选型方案探讨

随着城镇化进程的加快和城市经济辐射能力的增强,以特大城市中心城为核心的都市圈逐渐形成,都市圈内的经济联系更加紧密,都市圈核心区与外围的出行需求迅速增长,市域(郊)铁路的概念被引进,选择符合市域(郊)铁路特点的车辆类型是设计的重点。     

Banking sector reactions to COVID-19: The role of bank-specific factors and government policy responses

This paper examines the impact of bank-specific factors and variations in the context of stringency of government policy responses on bank stock returns because of the COVID-19 pandemic. A sample of 1,927 publicly listed banks from 110 countries is used for the period of the first major wave of COVID-19, that is, January to May 2020. Our findings indicate that stock returns of banks with higher capitalization and deposits, more diversification, lower non-performing loans, and larger size are more resilient to the pandemic. While banks’ environment and governance scores do not have a significant impact, higher social and corporate social responsibility strategy scores intensify the negative stock price reaction to COVID-19. We further observe that the pandemic-induced reduction in bank stock prices is mitigated as the strictness of government policy responses increases, mainly through economic responses such as income support, debt and contract relief, and fiscal measures from governments.     

A “load-carrier” perspective approach for assessing tourism resource carrying capacity

To address the challenge of global tourism resources being overloaded or underutilization, there requires an adequate method for assessing the tourism resource carrying capacity (TRCC). However, the majority of previous evaluation perspectives on TRCC are limited by thresholds. This paper develops an innovative approach for assessing TRCC from the “load-carrier” perspective. TRCC is assessed by exploring the interaction between the carriers and loads of tourism resources. Chongqing city in China is employed as the case city to demonstrate the application of the established TRCC method. The conclusions are as follows: 1) This study elaborates the new connotation of TRCC from the perspective of “load-carrier”, and establishes the TRCC evaluation system based on the dynamic relationship between the carrier and load of tourism resources. 2) The proposed TRCC evaluation method is proved effective through an empirical study of Chongqing. 3) Chongqing's case unveils that the overload performance of TRCC can be dynamically monitored and predicted. By applying the TRCC evaluation methodology developed in this study, tourism managers and policymakers can identify whether it is the load or the carrier of tourism resources that affect the performance of TRCC, thereby taking targeted policy measures to eliminate potential risks of overload or underutilization.     

Digital marketing communication in global marketplaces: A review of extant research,future directions,and potential approaches

Digital marketing communication, that is, communication through digital or electronic media among businesses and consumers, is growing rapidly, especially during the COVID-19 era. We propose a framework for analyzing digital marketing communication along four major dyads, business-to-consumer (B2C), business-to-business (B2B), consumer-to-consumer (C2C), and consumer-to-business (C2B). We review and summarize, for researchers and practitioners, the literature during 2000–2021 in these dyads along four major components: goals; channels, media, and platforms; content; and responses. We find that extant research in digital marketing communication pertains mostly to a specific, national level rather than a global level, despite the porousness of national boundaries for digital marketing. We derive important insights, identify key research gaps and questions in each of the dyads along these dimensions. We suggest approaches to address these research questions under three major components: substantive issues, data, and methods. These approaches can offer the insights that managers need to better formulate digital marketing strategies in local and global contexts.     

M5 competition uncertainty: Overdispersion,distributional forecasting,GAMLSS, and beyond

The M5 competition uncertainty track aims for probabilistic forecasting of sales of thousands of Walmart retail goods. We show that the M5 competition data face strong overdispersion and sporadic demand, especially zero demand. We discuss modeling issues concerning adequate probabilistic forecasting of such count data processes. Unfortunately, the majority of popular prediction methods used in the M5 competition (e.g. lightgbm and xgboost GBMs) fail to address the data characteristics, due to the considered objective functions. Distributional forecasting provides a suitable modeling approach to overcome those problems. The GAMLSS framework allows for flexible probabilistic forecasting using low-dimensional distributions. We illustrate how the GAMLSS approach can be applied to M5 competition data by modeling the location and scale parameters of various distributions, e.g. the negative binomial distribution. Finally, we discuss software packages for distributional modeling and their drawbacks, like the R package gamlss with its package extensions, and (deep) distributional forecasting libraries such as TensorFlow Probability.