零售4.0时代先行发货问题的大数据分析

在零售4.0时代，渠道的多样化不仅丰富了数据源，还能迅速生成大量数据，需要通过分析大数据，为决策提取有意义的信息，通过分析先行发货的重要性，提出了一种基于遗传算法（GA）的优化模型，预测顾客何时购买，然后在顾客线下单前将产品运送到距顾客最近的配送中心，解决先行发货中存在的问题。研究认为，需要先部署云计算来存储所有渠道生成的大数据，再应用基于集群的关联规则挖掘研究顾客的购买行为，根据“如果-那么”预测规则预测未来的采购情况，最后利用修正的遗传算法生成最优的先行发货计划；这种遗传算法考虑了其在运输成本和运输距离之外，还有预测规则的置信度，利用大量的数值实验权衡了先行发货中的不同因素，验证了模型的最优可靠性     

新时期我国零售业发展特点及政策建议

加入WTO以来,伴随我国经济的持续增长、对外开放的不断扩大和居民消费水平的提高,我国零售业在规模、结构、效益、经营和管理水平等方面都上了一个新台阶,但同时也面临来自外资零售企业的竞争压力和行业内现存的发展模式粗放、企业核心竞争力低、规范化程度低、人才短缺等问题,客观上要求必须从财政、税收、技术、人才等方面加快完善零售业发展的政策环境,为零售业的发展创造良好的条件。     

批发、零售行业的宏观营销效率研究

我国批发、零售行业宏观营销效率与发达国家相比还有很大的差距。造成这种差距既有经济方面的原因,又由非经济方面的因素。提高我国批发、零售行业宏观营销效率,政府、行业协会、企业三方必须采取相应的对策和方法。     

The impact of sales promotions on store performance: a structural vector autoregressive approach

The present paper analyses the impact of sales promotions on store performance, in the short and long term, from the retailer's point of view. Relationships among promoted and regular sales in the hypermarkets of a large-scale retail chain of national importance, are investigated by means of a structural vector autoregressive model (SVAR). Statistically significant effects of sales promotions in the heavy household section on store sales are found in the short-run; these promotions produce additional sales and thus act as an attractive factor. Promotions in textile category, on the contrary, produce an immediate negative effect on net sales. In the long run, negative statistically significant effects on regular sales are detected when promotions are repeatedly implemented within perishables category.     

创新驱动下新零售服务供应链质量协同改进的稳态策略

技术和消费的“双升”加快了新零售服务供应链的形成和产生,同时也通过驱动其质量系统的协同改进及动态演化实现持续的发展。本文从创新驱动质量的动态视角,分析创新驱动下新零售服务供应链中多主体协同质量改进的运行机制和动态演化过程,运用演化博弈方法分析构建多主体协同的动态演化博弈模型,以此分析新零售服务供应链协同质量改进中各参与主体的博弈策略选择,并利用雅克比矩阵判断其策略稳定性。研究表明：在多元参与主体利益诉求得到满足的前提下,多主体协同质量改进能够保持系统稳定状态;多主体间的质量势差与协同质量改进稳定性呈现出反比关系;良好的质量协同效应、独立的内部监督机制等能有效的促进协同质量改进系统稳定。     

零售企业数字化转型对经营效率的影响研究——基于上市企业年报的文本挖掘分析

在构建以国内大循环为主体、国内国际双循环相互促进的新发展格局下,零售企业数字化转型具有重要的现实意义。基于2010—2019年中国实体上市零售企业的年报信息,采用文本挖掘法测算了零售企业的数字化转型水平,并实证检验了零售企业数字化转型对经营效率的影响机制与效应。实证结果表明,数字化转型显著促进了零售企业经营效率的提升。从影响机制来看,数字化转型通过扩大市场规模和改善管理效率对经营效率产生正向影响;从数字化转型的分维度来看,数字化技术的应用对经营效率的提升有显著促进作用,而数字化商业模式和数字化渠道的作用不显著。从异质性分析来看,数字化转型对零售企业经营效率的提升效应主要体现在国有企业当中;规模过大会抑制零售企业数字化转型对经营效率的提升作用;东中部地区零售企业数字化转型对提升经营效率的影响显著,但是这一影响在西部地区并不显著。因此,加快推进数字化转型升级,加大数字化技术应用力度,发挥国有企业示范作用,以及克服“大企业病”,均是促进零售企业经营效率提升的关键。     

融资约束与零售企业经营模式选择

回归零售本质、强化自营能力是零售企业实现可持续发展的关键路径,然而当前众多零售企业放弃了自营,更偏好联营。为找出这一矛盾的症结所在,基于不完全契约理论,构建了融资约束背景下不同零售企业经营模式对应的供应商和零售商之间的收益分配模型,将自营率作为零售经营模式变量引入理论模型,以解释零售业联营模式占优的现象。理论分析结果显示,融资约束的提升会降低零售企业的自营率。进一步地,利用2017—2019年我国境内经营的176家零售企业相关数据进行实证分析发现,融资约束在很大程度上限制了我国零售企业对自营模式的自由选择,且私营零售企业和百货零售企业受融资约束的影响更大。因此,一方面要拓宽融资渠道、优化资本结构、加强市场监管,为零售企业提供良好的融资条件;另一方面要通过品牌建设、供应链完善、提高市场集中度等,强化零售企业的自营能力。     

Strategic Design Responsiveness: An Empirical Analysis of US Retail Store Networks

This study uses a service operations management (SOM) strategy lens to investigate chain store retailers' strategic design responsiveness (SDR)—a term that captures the degree to which retailers dynamically coordinate investments in human and structural capital with the complexity of their service and product offerings. Labor force and physical capital are respectively used as proxies for investments in human capital and structural capital, whereas gross margins are proxies for product/service offering complexity. Consequently, SDR broadly reflects three salient complementary choices of SOM design strategy. We test the effects of “brick and mortar” chain store retailers' SDR on current and future firm performance using publically available panel data collected from Compustat and the University of Michigan American Customer Satisfaction Index databases for the period 1996–2011. We find that retailers that fail to keep pace with investments in both structural and human capital exhibit short‐term financial benefits, but have worse ongoing operational performance. These findings corroborate the importance of managers strategically maintaining the complementarity of design‐related choices for improving and maintaining business performance.     

Bounding Optimal Expected Revenues for Assortment Optimization under Mixtures of Multinomial Logits

We consider assortment problems under a mixture of multinomial logit models. There is a fixed revenue associated with each product. There are multiple customer types. Customers of different types choose according to different multinomial logit models whose parameters depend on the type of the customer. The goal is to find a set of products to offer so as to maximize the expected revenue obtained over all customer types. This assortment problem under the multinomial logit model with multiple customer types is NP‐complete. Although there are heuristics to find good assortments, it is difficult to verify the optimality gap of the heuristics. In this study, motivated by the difficulty of finding optimal solutions and verifying the optimality gap of heuristics, we develop an approach to construct an upper bound on the optimal expected revenue. Our approach can quickly provide upper bounds and these upper bounds can be quite tight. In our computational experiments, over a large set of randomly generated problem instances, the upper bounds provided by our approach deviate from the optimal expected revenues by 0.15% on average and by less than one percent in the worst case. By using our upper bounds, we are able to verify the optimality gaps of a greedy heuristic accurately, even when optimal solutions are not available.     

零售商店绿色实践对顾客公民行为的影响研究

随着绿色发展成为国家战略,零售商店开展绿色实践是大势所趋,不仅对整个社会的绿色发展至关重要,也会对零售商店竞争力提升产生重要影响.然而,现今有关零售商店绿色实践方面的研究仍处于起步阶段,关于零售商店绿色实践对顾客公民行为影响的研究更为鲜见.文章根据亲社会行为理论、社会认同理论和精细加工理论构建零售商店绿色实践对顾客公民行为影响的概念模型,采用情境实验法进行实证检验.研究结果表明:零售商店的三类绿色实践均显著影响顾客公民行为,这种影响一方面是直接的,另一方面是通过顾客—商店认同间接作用于顾客公民行为,即顾客—商店认同在零售商店的三类绿色实践对顾客公民行为的影响路径中均起部分中介作用;顾客自我提升动机在零售商店的三类绿色实践对顾客—商店认同、顾客公民行为的影响路径中均具有正向调节作用.