高技术企业多元化战略对创新持续性的影响——动态能力的调节作用

基于资源基础理论和持续创新内生机制，利用435家高技术企业2010—2018年面板数据，对多元化战略对高技术企业创新持续性的影响进行探究。结果表明，产品多元化与创新持续性呈正U型关系，技术多元化对创新持续性具有正向促进作用，产品多元化与技术多元化协同效应对创新持续性具有负向影响；动态能力强化了产品多元化与创新持续性之间的正U型关系，并正向调节技术多元化与创新持续性之间的关系。在动态能力调节作用下，高技术企业产品多元化与技术多元化协同效应对创新持续性具有正向影响。     

大学生消费行为调查与分析

大学生是社会消费群体的重要组成部分,他们的消费行为特征受到越来越多人的关注。为了更好地了解大学生的具体消费行为,本文采取问卷调查的方式,以合肥师范学院在校大学生作为调查对象,进一步了解大学生的消费理念、方式以及水平、结构等。最后根据调查结果的数据分析,对大学生理性消费提出具体建议,以引导大学生树立正确的消费观念。     

企业社会责任报告与公开债务融资

本文以2016—2018年沪深两市A股非金融类上市公司为样本,研究企业社会责任报告与公开债务融资的关系.研究发现,披露企业社会责任报告显著提高了企业公开债务融资的成功率和规模;企业社会责任报告质量越高,对企业公开债务融资选择、规模的正向影响越大;相较于民营企业而言,国有企业披露社会责任报告对公开债务融资的影响更为明显.进一步研究发现,相较于应规披露、未披露企业社会责任报告的上市公司而言,自愿披露对公开债务融资具有显著正向影响;市场化水平较高的地区,披露企业社会责任报告对公开债务融资具有显著促进作用,市场化水平较低的地区则不具有明显影响.     

中国应对CPTPP协定经济影响的政策选择及效果

CPTPP协定是美国退出TPP协定后剩余成员国签订的新区域贸易协定,它为整个亚太经济圈创造了新的供应链机会,而且不久的将来有望建立以CPTPP为中心的价值链系统.CPTPP的区域排他性和可能构建的国际经贸新规则,势必会对身处CPTPP之外的中国造成影响并形成挑战,因此中国需要采取积极措施进行应对.文章使用2018年数据构建了一个包含26个经济体的全球一般均衡数值模型系统,并嵌入价值链和增加值贸易结构,系统量化模拟了中国应对CPTPP政策选择的三类九种情景的经济效果.研究发现:(1)中国单方面采取措施应对CPTPP影响的四种情景下,政策效果从高到低的顺序依次为建设中日韩自贸区、RCEP生效、不采取措施和进一步扩大对外开放.(2)中国加入CPTPP的两种情景下,和第一批扩容国家一起加入协定的措施效果更好,而之后独自加入CPTPP的效果略差.(3)如果美国重返CPTPP,中国的三种政策选择中,经济效果从高到低依次为优化营商环境、不采取措施、和美国一起加入CPTPP.因此,中国应积极考虑以合适的方式加入CPTPP,推动亚太地区的合作共赢与经济发展.     

Understanding the determinants of e-wallet continuance usage intention in Malaysia

Quality & Quantity - The present research aims to investigate the determinants of e-wallet continuance usage intention in Malaysia using extending Technology Continuance Theory (TCT) via...     

Household Determinants of the Adoption of Improved Cassava Varieties using DNA Fingerprinting to Identify Varieties in Farmer Fields: A Case Study in Colombia

We examine factors affecting the adoption of improved cassava varieties of 217 households in the Cauca Department in southwest Colombia. Using DNA fingerprinting through Single Nucleotide Polymorphisms (SNPs), we identified different cultivars in farmers fields. We also used this information to remove possible bias in the adoption model that could have resulted from a misclassification of improved varieties (IVs). As a result, we found that farmers substantially overestimate their use of IVs and there are important differences in the determinants of adoption between farmer self‐identification and DNA fingerprinting. This finding implies that the incorporation of DNA fingerprinting in IV adoption studies is important to ensure the accuracy of future agricultural economic research and the relevance of subsequent policy recommendations.     

Building relationship innovation in global collaborative partnerships: big data analytics and traditional organizational powers

This study examines how relationship innovation can be developed in global collaborative partnerships (alliances, joint ventures, mergers, and acquisitions). The recently emerging theory of big data analytics linked with traditional organizational powers has attracted a growing interest, but surprisingly little research has been devoted to this important and complex topic. Therefore, after developing the theoretical foundations, our study empirically quantifies the links between the theoretical constructs based on the data collected from chief executive officers, managing directors, and heads of departments who work in contemporary global data‐and‐information driven collaborative partnerships. The results from structural equation modeling indicate that the relationship innovation depends on the power of big data analytics and non‐mediated powers (NMP, expert and referent). The power of big data analytics also mediates the correlation between NMP and relationship innovation. However, mediated powers (coercive and manipulative) negatively affect the power of big data analytics and relationship innovation. The interaction effects further depict that analytically powered partnerships have better relationship innovation compared with those which focus less on the analytical power. Consequently, the contributions of this study provide a deeper understanding of mechanisms of how modern collaborative partnerships can use big data analytics and traditional organizational powers to co‐create relationship innovation.     

Target‐Setting,Pay for Performance,and Quality Improvement: A Case Study of Ontario Hospitals’ Quality‐Improvement Plans

This study examines whether difficult targets and quality indicators in executives' pay‐for‐performance (P4P) plans affect performance. The impact of target‐setting and P4P plans on quality improvement in the public sector is unclear. The Ontario government initiated the Quality Improvement Plan (QIP), which requires hospitals to set targets for quality indicators annually and link executive pay to target achievement since 2011. Analyzing Health Quality Ontario's database and hospitals' 2012–2013 QIPs, this study shows greater quality improvement in hospitals with difficult targets than hospitals with easy targets or without assigned targets; however, the positive impact disappears for high‐performance hospitals relative to their peers. We find no significant effect of the use of quality indicators in executives' P4P plans on quality improvement. Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd.     

Time series copulas for heteroskedastic data

We propose parametric copulas that capture serial dependence in stationary heteroskedastic time series. We suggest copulas for first‐order Markov series, and then extend them to higher orders and multivariate series. We derive the copula of a volatility proxy, based on which we propose new measures of volatility dependence, including co‐movement and spillover in multivariate series. In general, these depend upon the marginal distributions of the series. Using exchange rate returns, we show that the resulting copula models can capture their marginal distributions more accurately than univariate and multivariate generalized autoregressive conditional heteroskedasticity models, and produce more accurate value‐at‐risk forecasts.     

The equivalence of supporting software delegation and sales delegation

This paper considers a duopoly market with horizontally differentiated system goods to examine system owners' behaviors under supporting software delegation, in which owners of system firms use varieties of supporting software, coupled with profit, to evaluate their managers' performance. Supporting software delegation seems to induce managers to act more aggressively in price competition than sales delegation does; however, we prove that if two systems are compatible and the varieties of supporting software are determined by hardware owners' overall expenditure amount on software, then supporting software delegation is equivalent to sales delegation. Owners of system firms induce their managers to act less aggressively in hardware price competition by offering contracts with a negative weight on varieties of supporting software under supporting software delegation. We find that stronger network externalities do not reverse system owners' contracting behaviors under supporting software delegation. Finally, it is worth mentioning that hardware technologies are static in this paper. In other words, dynamic changes such as hardware evolution are not considered in our analysis.