基于可得性和消耗率的备件订货策略研究

对机器维修保养所需备件的订货策略进行了研究,基于备件的可得性和消耗率,将备件分为四类:关键备件、重要备件、一般备件和特殊备件,针对不同的备件,给出了不同的订货策略。     

师徒制对徒弟创新绩效的影响机制研究：心理可得性和主动性人格的作用

师徒制作为企业人力资源管理与开发的重要工具,在促进员工成长与发展,为企业获取竞争优势发挥着重要的作用。文章基于资源保存理论探究师徒制影响徒弟创新绩效的内在机制,通过对318份有效配对样本数据进行实证分析发现：师徒制与徒弟创新绩效呈正相关关系;心理可得性在师徒制和徒弟创新绩效之间起部分中介作用;主动性人格不仅正向调节了师徒制与徒弟心理可得性的关系,还进一步调节了师徒制通过徒弟心理可得性影响徒弟创新绩效的间接效应。     

芯片物理指纹的可用性评估

芯片物理指纹(Physical Unclonable Function,PUF）技术可用于构建新型可信认证体系,具有小型化、低功耗、高安全特性。通过对芯片物理指纹认证性能的研究,提出了对芯片物理指纹可用性相关概念的量化表征。基于芯片物理指纹实测数据进行了更多样本数据的模拟,分析了芯片物理指纹认证参数设置与安全性要求的关系,实现了对芯片物理指纹的可用性的有效评估,为芯片物理指纹技术进一步实现工程化应用提供了参考。     

论分部信息的决策有用性

企业的多元化经营和跨国经营是分部信息披露发展的主要推动因素。在企业跨行业、跨国界 (地区 )经营的情况下 ,分部信息披露可以弥补合并会计报表的不足。分部信息有助于改善信息使用者的预测能力 ,并在证券评价、风险评估方面具有决策有用性。     

Customer Experience in Online Shopping: A Structural Modeling Approach

Online retail's rapid growth in India has triggered both untapped growth opportunities and challenges to maintain consumer “stickiness” to retailer websites. In this context, online customer experience (OCE) has emerged as a strategic differentiator for sustainable competitive edge. However, there is a paucity of empirical research in this field. Therefore, drawing on extant literature and qualitative research of online shoppers, this study proposes an integrated model of OCE with antecedents, components, and outcome variables. Data for this study were collected from Indian online shoppers; the data are empirically tested along with the moderating effect of time availability on OCE. Results of the study largely support the model and contribute to knowledge creation on OCE in the Indian context and to strategy development for online retailers.     

The formation of habit and word-of-mouth intention of over-the-top platforms

The current study examines how video content on over-the-top (OTT) platforms and the enjoyment from watching them form habits and word-of-mouth (WOM) intentions. We propose a research model that integrates elements from the Self-Determination Theory (SDT) and the concept of “habit loop” from the Interest-Driven Creator (IDC) theory. The model was analyzed using PLS-SEM on 302 responses from OTT users. The study elucidates how video content availability helps in habit formation indirectly through perceived enjoyment. The results also demonstrated that the WOM of OTT platforms is explained by perceived enjoyment, affective commitment, and the habit of using the OTT platforms. The study highlights that habit is a significant predictor of affective commitment and WOM intention of hedonic apps. This is the first study to illustrate how video content availability affects users’ enjoyment, habitual use, and WOM intentions. Habit as a significant predictor of affective commitment and WOM intention of hedonic apps, like OTT platforms, is unprecedented.     

Reviewing the DATAS of aviation research data: Diversity,availability, tractability,applicability, and sources

The field of aviation research is entering the era of big data. While data-driven advancements in aviation have clearly brought about applicable models and results with immediate implications, we argue that the influx of aviation data should be better characterized and documented to enable more efficient and standardized usage. To this end, we examine 200 well-cited research articles from sub-disciplines ranging from revenue management to air traffic control published on or after 2010 in order to analyze the diversity, availability, tractability, applicability, and sources (DATAS) of data utilized in aviation research. We find high levels of data diversity within aviation research, with 16 data categories ranging from air traffic flow management-type data to data from distributed sensors in line with the Internet-of-Things (IoT) paradigm. We identified a dominance of proprietary, non-public data in aviation research, with 68% of the 200 research articles utilizing solely proprietary data in deriving their results, and a further 8% utilizing a mixture of proprietary and publicly available data. The pervasiveness of proprietary data has implications on reproducibility and extending research results. We also highlight the increasing tractability of the data by surveying the computational power required to process the data sets, and present vignettes of applications and results that stem from these data-driven studies. Finally, we propose several recommendations regarding standardizing data source nomenclature as well as increasing the availability of and usage of publicly available data.     

The ties that bind: Bank relationships and small business lending

The importance of bank relationships for small firms’ ability to raise external finance is well-documented, yet the mechanism through which relationships improve access to capital markets has received little empirical attention. This paper uses hand-collected, proprietary data from a mid-sized bank in the United States to identify the channels that strengthen the relationship between a small business and its bank. In contrast to earlier work that focuses on the role of relationships in alleviating information and incentive problems in lending, I find that the source of value in relationship banking is not limited to enhanced monitoring. Exploiting a unique feature of this dataset, I examine two channels of relationship strength that directly measure the stream of non-lending profits generated from (1) the non-credit services cross-sold to the borrower, and (2) the additional bank clients referred by the borrower. I document that non-lending profitability empirically determines the risk-adjusted terms of lending. In models of loan price that already include both the bank’s proprietary risk rating and traditional risk proxies, non-lending profits significantly improve explanatory power and account for up to half of the total explained variation. Conditional on risk profile, a one-standard deviation increase in aggregate non-lending profits lowers the loan interest rate by 32 basis points and increases access to credit by 26%.     

Explaining the Familiarity-Liking Relationship: Mere Exposure,Information Availability,or Social Desirability?

A large and diverse body of marketing literature suggests that well-known brands enjoy several advantages compared to less familiar brands. Specifically, brands with higher levels of familiarity appear to achieve higher levels of liking or preference among both consumers and retailers. This familiarity-liking relationship has proven to be one of marketing's most robust and reproducible empirical generalizations. However, there remains a considerable amount of uncertainty as to the conditions under which this relationship arises. In this study, we identify, conceptualize, and empirically assess three alternative hypotheses of the familiarity-liking relationship: mere exposure, information availability, and social desirability. Our results suggest that social desirability is the most powerful of these three potential mechanisms underlying the familiarity-liking phenomenon.     

浅谈提高标准文献利用率

针对目前存在的企业急需标准文献,而标准收藏单位的文献利用率却不高这一问题,对提高标准利用率提出了几点看法。