基于神经网络的产品突破性创新机遇识别

为了帮助企业在进行技术研发之前识别出最有潜力的技术,提高产品突破性创新的成功概率,提出了一种在模糊前端阶段进行突破性创新机遇识别的定量方法。首先,通过文献研究,确定产品突破性创新的路径特征,并提取产品突破性创新的相关影响因素,通过建立解释结构模型（ISM）提取并构建产品突破性创新机遇识别特征体系。其次,对突破性创新案例和非突破性创新案例进行特征对比,以各特征因素变化趋势为自变量,建立神经网络。最后,对样本数据进行拟合,构建产品突破性创新机遇识别模型。研究结果表明,研究所提模型能够对产品的突破性创新机遇进行有效识别,可应用于产品创新设计过程的模糊前端阶段。研究可为企业在突破性创新项目中更有效地进行机遇识别提供理论指导。     

基于结构方程模型的建筑业低碳竞争力形成机理分析

以能源结构、生产能力和环保能力作为建筑业低碳竞争力的外生潜变量,以低碳竞争力和低碳技术利用率作为内生潜变量,构建了具有可持续发展特征的评价建筑业低碳竞争力的结构方程模型,并运用Lisrel软件对我国30个省(自治区、直辖市)的建筑业低碳竞争力进行了模型分析。结果表明:能源结构、生产能力和环保能力是影响建筑业低碳竞争力的重要因素,其中生产能力对建筑业低碳竞争力的影响最大;建筑面积碳排放效率的因子荷载值远大于产值利润率,表明建筑面积碳排放效率对建筑业低碳竞争力的影响较大。最后提出提高我国建筑业低碳竞争力的对策建议:大力宣传低碳思想,推行清洁生产;加强对建筑业节能技术的研究,加速节能技术改造进程;制定适应市场环境的低碳政策。     

Cost-effectiveness of pembrolizumab for the adjuvant treatment of resected high-risk stage III melanoma in the United States

Abstract

Aims: To evaluate the cost-effectiveness of adjuvant pembrolizumab relative to observation alone following complete resection of high-risk stage III melanoma with lymph node involvement, from a US health system perspective.

Materials and methods: A Markov cohort model with four health states (recurrence-free, locoregional recurrence, distant metastases, and death) was developed to estimate costs, life-years, and quality-adjusted life-years (QALYs) associated with pembrolizumab vs observation over a lifetime (46-year) horizon. Using a parametric multi-state modeling approach, transition probabilities starting from recurrence-free were estimated based on patient-level data from KEYNOTE-054 (NCT02362594), a direct head-to-head phase 3 trial. Post-recurrence transition probabilities were informed by real-world retrospective data and clinical trials in advanced melanoma. Health state utilities and adverse event-related disutility were derived from KEYNOTE-054 trial data and published literature. Costs of drug acquisition and administration, adverse events, disease management, and terminal care were estimated in 2018?US dollars. Deterministic and probabilistic sensitivity analyses were conducted to assess robustness.

Results: Over a lifetime horizon, adjuvant pembrolizumab and observation were associated with total QALYs of 9.24 and 5.95, total life-years of 10.54 and 7.15, and total costs of $489,820 and $440,431, respectively. The resulting incremental cost-effectiveness ratios (ICERs) for pembrolizumab vs observation were $15,009/QALY and $14,550/life-year. Across the range of input values and assumptions tested in deterministic sensitivity analyses, pembrolizumab ranged from being a dominant strategy to having an ICER of $57,449/QALY vs observation. The ICER was below a willingness-to-pay threshold of $100,000/QALY in 90.2% of probabilistic simulations.

Limitations: Long-term extrapolation of outcomes was based on interim results from KEYNOTE-054, with a median follow-up of 15?months.

Conclusions: Based on common willingness-to-pay benchmarks, pembrolizumab is highly cost-effective compared with observation alone for the adjuvant treatment of completely resected stage III melanoma in the US.     

E-Government Portal Characteristics and Individual Appeal: An Examination of E-Government and Citizen Acceptance in the Context of Local Administration Portals

E-government applications have become an important interface between citizens and public administration. However, quantitative research on e-government usage shows a tendency toward generic research models and in part lacks statistical rigor. Especially mediating conditions are often not taken into account appropriately. This contribution addresses this gap and provides a conceptually extended model of technology acceptance in the context of online city portals. The proposed model is tested with a large sample (n = 1,273) using structural equation modeling. Ease of use, usefulness, and privacy were found to be determinants of e-government portal acceptance, which in turn determines continuance intention of e-government portals. Furthermore, Internet competence and need for personal interaction were found to be direct determinants of continuance intention on the level of individual user appeal. The findings are discussed in terms of theory, and implications for public managers of online city portals are derived.     

The Categories,Rules, and Demonstrations of Guanxi in Chinese Society

ABSTRACT

Purpose: Guanxi is one of the most important success factors in China. Because of differences in Eastern and Western relationships, it is essential to investigate the system of guanxi in China. Based on the differential mode of association (chaxugeju), the present study aims to construct a framework for the mechanism of guanxi in Chinese society.

Methodology/approach: A questionnaire survey of middle and senior managers was conducted to test the proposed hypotheses. A sample consisting of 212 middle or senior managers who worked in China and had direct interactions with business partners was used. The participants were mainly from firms in the pharmaceutical technology, telecommunication, and retailing industries.

Findings: Guanxi categories, guanxi rules, and guanxi demonstrations were found to be correspondingly related. Business partners who had family guanxi applied the rule of need and presented intimacy interactions, whereas partners who had acquaintance guanxi often followed the rule of favor and demonstrated higher levels of reciprocity. These two corresponding paths positively influenced the strength of guanxi: The partners were more willing to sacrifice self-interest for and provide high priority in resource allocation to each other. Business partners who had stranger guanxi used the rule of equity and built trust relationships, which had negative impacts on the strength of guanxi.

Practical implications: Because guanxi affects the performance of companies in China, maintaining guanxi networks with business partners is an important but challenging task for managers, especially for those from non-eastern cultures. The current study suggests that it is essential for managers to identify different types of guanxi (family, acquaintance, or stranger) by differential intimacy and distance, and to apply different rules when interacting with partners with different guanxi. To be specific, managers should follow the rule of need with business partners who have family guanxi, and their guanxi should be demonstrated as intimacy interaction. When doing business with acquaintances and friends, managers should mainly follow the rule of favor, and their guanxi should be demonstrated as reciprocity interaction. When doing business with strangers, managers should follow the rule of equity and emphasize trust. This correspondence also has an influence on how managers make decisions according to the strength of guanxi with different partners based on the guanxi type. In short, guanxi affects the degree of willingness to sacrifice self-interest for, and to prioritize resource allocations to, business partners.     

A Model of the Determinants of Purchasing from Virtual Stores

Virtual stores are Internet-based innovations that influence the dynamics of consumer choice making. Utilizing the attitude-to-behavior theory, theory of reasoned action, technology acceptance model, functional theory of attitude, causal theory of action, and prior literature, we develop and empirically evaluate a model that describes consumer purchase decisions in a virtual store. We test the model using data collected from validated survey instruments for each of the constructs utilizing the structured equation modeling technique. The model helps in the design of virtual stores by describing how individuals who visit such stores can be induced to purchase from virtual stores. It describes that perceived usefulness, perceived behavioral control, and perceived peer influence impact attitude toward purchasing from a virtual store. Attitude toward purchasing from a virtual store, in turn, influences the actual purchasing from a virtual store. We discuss the implications for the design of virtual stores that lead to purchase decisions.     

Structural Equation Modeling: A Practical Introduction

Structural equation modeling (SEM) is a popular statistical technique that has become an essential tool for business academics and practitioners. The technique is particularly well suited for evaluating the relationships among any number of observed and latent variables. Thus, typical applications for SEMs are model and theory testing, and scale development. The purpose of this article is to introduce the technique and to explain its use in practical terms that do not require a strong statistical background. Two previous Journal of African Business articles are used to demonstrate SEM applications, and the article concludes with a brief introduction to SEM software packages.     

An Empirical Examination of the Antecedents of Film Tourism Experience: A Structural Model Approach

This study aims to empirically examine the antecedents of film tourism experience associated with a serialized TV drama. Drawing on film tourism and media-communication studies, a theoretical model for the causal interrelationship between production values of the TV drama, audience involvement with it, and film tourism experience at its filmed location was tested empirically using structural equation modeling (SEM) methodologies. Responses were drawn from a cross-sectional data sample of international visitors via a survey executed at Daejanggeum Theme Park in Korea. The results indicate that production values and audience involvement have a direct, positive impact on film tourism experience. Moreover, the production values have a mediating, positive impact on film tourism experience through the audience involvement construct.     

基于顾客导向的供应链服务质量概念模型研究

通过对服务质量、服务质量模型、供应链中的服务质量进行文献回顾,本文结合供应链特征,综合考虑Parasuraman et al．以及Brady and Cronin的研究成果,并克服传统单个企业与顾客之间感知服务质量差距研究的缺陷,分别从内部及外部角度差距分析、探索供应链不同层级企业之间相互感知差距细节,及其对最终顾客感知的影响,旨在构建供应链服务质量概念模型。     

Predicting Behavioral Intentions to Comply with Recommended Leave No Trace Practices

The purpose of this study was to evaluate the effectiveness of an extended version of the Theory of Planned Behavior (Ajzen, 1991) for predicting backcountry visitors’ behavioral intentions to comply with recommended Leave No Trace practices. Once confirmed, factors predictive of behavioral intentions can be used to inform the development of more effective persuasive communication strategies and educational messaging. Study participants were overnight backcountry visitors to either Olympic National Park, Washington, or Glacier National Park, Montana. The final model explained over 44% of the variance in the dependent variable, but significant predictors differed between the two parks. Discussion is provided as well as suggestions for those charged with disseminating Leave No Trace messaging.