Assessing customer passion,commitment, and word-of-mouth intentions in digital assistant usage: The moderating role of technology anxiety

Consumers develop a passion for the use of innovations, which is a critical determinant of their success. Research has largely examined drivers of initial acceptance of digital assistants (DAs) and has yet to fully understand the factors driving or deterring consumers’ passion towards DAs and the behavioural outcomes. Drawing on the stimulus-organism-response framework, this study examines a unique set of factors (usefulness, ease of use, privacy concern, and localisation) that act as stimuli to drive an organismic state of passion for DAs, and how this produces behavioural responses of word-of-mouth (WOM) intention and commitment to DA use. The study also examines how technology anxiety moderates passion’s impact on WOM intentions and commitment. The findings show that usefulness, ease of use, privacy concern, and localisation are significant explanatory variables of consumers’ passion towards DAs. Furthermore, passion towards DAs results in WOM intentions and commitment to its use. The findings further show that passion’s effect on DAs in explaining WOM intentions and commitment is weakened by technology anxiety. Lastly, passion is the mediating mechanism through which usefulness, ease of use, privacy concern, and localisation impact WOM intentions and commitment. The implications of these findings for theory and practice are highlighted.     

Economic Impacts of the Possible China–US Trade War

This article uses a multi-country global general equilibrium (GE) model to numerically simulate the effects of possible China–US trade wars. We introduce an endogenous trade imbalance structure with trade cost into the model which helps to explore both tariff and non-tariff trade war effects. Our simulation results show that China will be significantly hurt by the China–US trade war, but negative impacts are affordable. The US can gain under unilateral sanction measures to China, but will lose if China takes retaliation measures. Comparing the effects under mutual trade war, China will lose more than the US. Introducing non-tariff barrier trade wars will intensify the negative effects, and comparatively negative effects to China are larger than to the US. Mexico’s involvement in trade war with the US will strengthen the negative effects and comparatively hurt the US more. Under non-cooperative and cooperative Nash bargaining equilibrium, the US can gain more than China in trade war negotiation, which means the US has stronger bargaining power than China. Additionally, trade wars between China and the US will hurt most countries and the world especially in GDP and manufacturing employment, but benefit their welfare and trade.     

协调发展战略下地方政府合作的动力机制探析--以深汕特别合作区为例

党的十九大报告首次提出区域协调发展战略,要求各地充分发挥比较优势,加强政府间合作,着力解决区域发展不平衡不充分的问题。深汕合作区正是实施这一战略的典型代表。其中,政府的战略政策导向、经济全球化、区域一体化和非政府组织的发展是合作区得以形成的主要外部动力;区域协调发展、产业结构调整、官员升迁诉求是内部动力。但是,在合作区发展的过程中也存在一定的阻力。如地方保护主义的抬头、利益博弈、市场运作的行政化。因此,为促进地方政府间良性合作,应不断强化合作的正向激励,降低合作的阻力,保证区域府际合作的长久性。     

淮南抗日根据地的互助合作运动研究

为了打破敌伪的经济封锁,减轻地主对农民的剥削,克服小农经济的局限性,淮南抗日根据地开展了互助合作运动。根据地在组织农户参加互助时,总结经验、树立典型,循序渐进,逐步推广,抓住群众需要,解决群众困难,尊重群众意愿,利用适当形式,从而有效组织了互助合作。互助合作运动开展中,也遇到不少问题,如形式主义、强迫命令;违背公平合理原则;经营管理效率不高;农民的观望、落后分子的破坏等。根据地采取了一系列措施,应对这些问题。如在.经济条件相近、关系和睦的农户间开展互助,对落后分子进行说服教育,建章立制,惩戒营私舞弊者;发扬民主、确保公平等。互助合作运动的开展,提高了生产效率,克服了小农经济的弊端,加强了基础设施建设;创造了物质财富,改善了民众生活。淮南抗日根据地互助合作运动对当今的农民专业合作社仍有一定的参考借鉴意义。     

科技企业孵化器何以激活区域创新——风险投资与孵化基金的中介作用

完善创新生态系统、提升区域创新能力是我国科技企业孵化器建设的重要目标。基于2013-2018年中国（内地）30个省份面板数据，采用面板数据模型实证检验科技企业孵化器是否促进了区域创新能力提升，并基于中介效应模型探讨风险投资和孵化基金在其中的间接作用。结果发现：①科技企业孵化器建设显著提升了区域创新水平，但主要增加的是实用新型和外观设计专利申请授权数总量，对发明专利申请授权数并没有显著促进作用。上述结果在剔除直辖市样本、采用随机效应模型及空间计量模型的稳健性检验后依然成立；②通过中介效应模型检验发现，区域风险投资和孵化基金集聚效应是科技企业孵化器影响区域创新水平的主要机制；③科技企业孵化器对区域创新的影响在不同区域间差异较大，在东部地区的创新激励效应更加显著，而且政策工具强度对科技企业孵化器与区域创新水平的关系具有正向调节作用。     

高等职业教育校企合作的现代学徒制人才培养模式

我国的高等职业教育是为社会培养人才重要的场所,应该坚持校企合作和工学结合的教育方针。但是在实际的实施中合作层次比较浅,缺乏一定的管理机制,合作方在各个方面表现得不够积极。因此,我们应该针对这些问题作出一些新的尝试和改变。要吸取校企合作中现代学徒制的成功经验,结合高等职业教育实际情况,找到校企合作的现代学徒制人才培养模式。     

Relief aid stocking decisions under bilateral agency cooperation

We aim to quantify the benefits of cooperation between humanitarian relief agencies in terms of stocking decisions. We consider two agencies that stock the same type of relief item at different locations prone to individual disaster risks and agree to transship the shortage amount from available stocks in case of a disaster. We incorporate the disaster risk to the Newsvendor model by conditioning the stock quantity decisions on the event that a major disaster occurs within the lifetime of the stocked relief item. We optimize the stock quantity for each agency in response to the other's quantity and compute a Nash Equilibrium solution numerically. We apply this game theoretic approach to the case of earthquake preparedness in Istanbul to optimize the stocking decisions of an agency for shelter units in cooperation with another agency. We investigate the characteristics of the solutions under various parameter settings and identify cases in which cooperation may be beneficial to one or both of the agencies.     

Impact of state-dependent oil price on US stock returns using local projections

In this paper, we investigate the impact of oil prices on both aggregate and industry US real stock returns over the period 1973–2017. The empirical analysis contributes to the related literature introducing a state-dependent oil price (high and low) and the local projections approach. Our main finding is that, depending on the nature of the shock and industry, the negative effects of oil price shocks become exacerbated -and the positive effects get moderated- if oil prices are already high.     

R&D based knowledge capital and future firm growth: Evidence from China’s Growth Enterprise Market firms

Building upon a dynamic stochastic general equilibrium (DSGE) model, this paper examines the role of knowledge-based capital (KC) in improving firms’ future growth in productivity. Based on the analysis of Chinese listed firms from 2006 to 2017 in the Growth Enterprise Market (GEM), we find KC often generates endogenous movements in productivity and earnings over the business cycles, suggesting that the nature of KC is pro-cyclical. Moreover, investment in KC is often classified as a corporate expense and is thus deducted from the current year’s profits. Therefore, firms with high R&D investments have significantly higher future productivity growth but lower current profitability than do those with lower R&D investments. Given these characteristics, KC’s benefits to productivity and future earnings are thus not immediate. For faster growth in the long term, firms should continue investing in KC even if they may face a short-term fall in corporate earnings as a result of internal knowledge investment, especially for fast-growing GEM firms.     

Collaboration for R&D Projects between the Industry and External Agents: Evidence from Manufacturing Companies in Peru

In this article we use the innovation survey of the manufacturing industry of Peru to identify cooperation behaviors for research and development (R&D) projects among companies and external agents in general. Likewise, we also find cooperation behaviors among the industry and the following external agents: university, technical centers, suppliers, customers, and companies of the same group, competitors, guilds, and consultants. Within the specific agents, the university is considered a cooperation agent for R&D projects. We use the survey of innovation in the manufacturing industry of Peru conducted in 2015, which resulted in 1447 Peruvian companies being surveyed. Evidence was obtained as to the degree of the tie between the industry and external agents for cooperation in R&D projects, giving relevance to variables such as investment, resources, and degree of innovation. Our results show that investment is an important factor for cooperation with external agents. Additionally, companies that have innovated at some point seek to cooperate with external agents. Finally, the importance of the university is demonstrable, thus, companies that invest in R&D seek to cooperate with the university.