按市场经济规则组织指导旅游工作

根据社会主义市场经济的规律和要求,结合旅游业的实际,就组织指导旅游资源开发、旅游产品营销、旅游企业产权制度改革和管理、旅游企业经营人才的选拔培养等工作,提出了措施。     

产业生态视角下的新能源汽车企业商业模式的构建

从产业生态系统视角研究新能源汽车企业商业模式创新演化过程。以长安汽车为例,研究新能源汽车企业商业模式创新特点、驱动因素和演变过程,利用扎根理论编码演绎新能源汽车企业商业模式创新模型。长安汽车创新生态系统由核心企业系统、政府环境系统、合作开发系统、智能创新系统、智慧营销系统这5 个部分构成。根据价值创造、价值网络、价值实现这3 个阶段的分析,提出新能源汽车企业商业模式创新的“愿望Desire”模型,即设界（Defi ne）- 开拓（Extension）- 强化（Strengthen） - 迭代（Iteration） - 重构（Restructure）- 觅新（Explore）模型,通过该模型刻画新能源汽车企业商业模式的演变机制。研究结论为新能源汽车企业的商业模式创新提供了可借鉴的案例。     

钢铁流通企业商业模式的国际比较与我国的现实选择

商业模式是企业运用内外部要素、资源和能力创造价值和获取利润的模式与方法.商业企业之间的竞争在很大程度上是商业模式的竞争.发达国家钢铁流通企业的欧美模式和日本模式各有特色与优势,对中国具有一定的借鉴意义.但商业模式的成功是诸多要素共同作用的结果,因而创新和重构中国钢铁流通企业的商业模式应当基于我国的现实国情.     

中国邮政储蓄银行中间业务特色化发展战略的设想——以安徽分行为例

自成立之日起,中国邮政储蓄银行依托强大的邮政网络,励精图治,其中间业务迅速发展,呈现出品种丰富、效用增强、规模扩大的趋势。该行在中国作为＂草根银行＂,的确为区域经济的发展做出了应有的贡献,但和金融同业相比,其中间业务发展仍凸显产品研发滞后、业务收益不高、操作风险尚存等问题。本文以邮政储蓄银行安徽分行为例,结合其中间业务发展现状的分析,对邮政储蓄银行特色化发展战略进行设想,提出要通过审时度势、东学西渐、内外联动和左右开弓的系列措施助力其中间业务发展。     

高职院校商务英语专业实训探讨——以武汉商业服务学院为例

商务英语专业实训对商务英语人才的培养起着决定性作用。本文通过分析我院商务英语专业实训工作尚存在的诸多问题,阐述了只有根据武汉地区的战略发展要求,确定有针对性的人才培养目标,秉承宽专业、活岗位的理念,多途径、全方位地开展校内实训,同时积极开发校外实训基地,我校商务英语专业的实训工作才能落到实处,在此基础上培养的商务英语人才才能真正为区域经济服务。     

Slow Recoveries: A Structural Interpretation

An analysis of the performance of GDP, employment, and other labor market variables following the troughs in postwar U.S. business cycles points to much slower recoveries in the three most recent episodes, but does not reveal any significant change over time in the relation between GDP and employment. This leads us to characterize the last three episodes as slow recoveries, as opposed to jobless recoveries. We use the estimated New Keynesian model in Galí, Smets, and Wouters (2011) to provide a structural interpretation for the slower recoveries since the early nineties.     

Taking the rough with the smooth: A qualitative inquiry into social and cultural practices of knowledge-sharing work in international consultancy alliances

Knowledge sharing in inter-organizational alliances has been predominantly studied by investigating causal influencing factors in tightly-coupled alliances. In contrast, we empirically study how individuals accomplish knowledge sharing activities in the context of various social and cultural differences within a loosely-coupled international business-consultancy alliance. Through an in-depth qualitative case-study approach, we find that the local knowledge-seeking and -accessing partners socially and culturally deal with various influencing factors, through two broad sets of ‘knowledge-sharing work’. This includes harmonization development work, and disharmony mitigation work, that are both supported through an accompanying mode of work: auto-learning. These forms of work at the micro (individual and interactional) level, are enabled through modes of communicative interaction, not just strategic action. Further, this work mediates between the influencing factors and the knowledge sharing of the alliances in an iterative and recursive manner. Our findings thus contribute to showing how knowledge sharing is enacted in inter-organizational alliances, by highlighting the significance and dynamics of the micro-level social and cultural practices of knowledge-sharing work.     

A conceptual model to imply a negative innovation assessment framework on consumer behaviors through the electronic business platforms

Online retail platforms significantly impact consumers' purchasing decisions. Satisfaction, purchase intent, and repeat online shopping drive the platform's purchasing decisions. In contrast, individuals do not purchase products due to dissatisfaction and lack of purchasing intent. It will cause hesitation and spread negative feedback to influence online consumer behaviors. This research proposes a conceptual model incorporating the Status Quo Bias (SQB) and the Negative Online Purchase Decision-Making Process (NOPDMP) to suggest a new framework for evaluating the maintained consumer behavior of online shopping platforms. The questionnaires following the proposed conceptual model were collected from the sample data from participants of 384 experienced respondents using online shopping platforms. Data were analyzed for the causal relationship using Structural Equation Model. The implications of the assessment framework that incorporates the influence of negative factors can weigh the decision to purchase products and improve and reduce shopping cart abandonment on e-commerce platforms. This framework can also describe instances of negative perspectives regarding incentive alignments with actual behaviors.     

Data-driven business and data privacy: Challenges and measures for product-based companies

To leverage the opportunities provided by the Internet of Things (IoT), product-based companies are exploring new data-driven business opportunities. They may miss these same opportunities, however, owing to data-privacy challenges. These challenges start with the customers of product-based companies, extend to the wider business ecosystem, and continue with the companies themselves. This article identifies 12 data-privacy challenges and introduces 12 measures to address them. These include intuitive recommendations, such as enabling cross-product consent collection, as well as less intuitive measures, such as fostering a can-do attitude in legal units, closing the gap between legal and business initiatives, or implementing a clear process for well-reasoned risk-taking. The following four principles were found to support companies in implementing these measures: (1) letting privacy and data-driven business go hand in hand, (2) putting customers first and turning their privacy preferences into opportunities, (3) aligning risk-management activities with the process of digital service development, and (4) using technology to professionalize legal processes.