A Study on the Factors Influencing Consumer Purchase Decision Under the Live-Streaming Sales Model

In recent years,with the rapid development and popularization of Internet information technology,many new media platforms have risen rapidly,and major e-commerce companies have begun to explore the mode of livestreaming.Especially during the COVID-19 pandemic,due to the lockdown,live-streaming has become an important means of economic development in many places.Owing to its remarkable characteristics of timeliness,entertainment,and interactivity,it has become the latest and trendiest sales mode of e-commerce channels,reflecting huge economic potential and commercial value.This article analyzes two models and their characteristics of live-streaming sales from a practical perspective.Based on this,it outlines consumer purchasing decisions and the factors that affect consumer purchasing decisions under the live-streaming sales model.Finally,it discusses targeted suggestions for using the live-streaming sales model to expand the consumer market,hoping to promote the healthy and steady development of the live-streaming sales industry.

Price and retailer's service level decision in a supply chain under consumer returns

To investigate the optimal retail price and service level in a supply chain under consumer returns, a consumer returns model under the retailer＇s service provision is built. The optimal decision results and optimal profits are obtained in the vertical integration game and the manufacturer Stackelberg game, respectively. Through comparing the optimal profits with service provision with those of no service provision, the boundary conditions that the retailer＇s service should be provided are derived. The results show that in the manufacturer Stackelberg game, the optimal profit of the retailer and the manufacturer with service is always superior to that of a no service provision. However, in the vertical integration game, the supply chain can only benefit from the service under certain conditions. Finally, through numerical examples, the impacts of the cost for providing services and the consumer return rate on the optimal decisions are analyzed.

Marketing Factors Affecting Middle Class Consumer’s Buying Decision in Housing Market in Nanning City

It is important to study the relationship between marketing factors and purchase decisions of middle-class consumers in Nanning housing market.This study will investigate the factors influencing people decision to purchase houses in Nanning City.The extrinsic housing attributes at this study consist of environmental attributes and location attributes.I have a limited understanding of the purchase behavior of Nanning home buyers in Nanning City.This study adopts the data collection methods of e-mail and field survey.Based on 509 questionnaires,the data were analyzed using descriptive statistics analysis and logistic regression.The results show that location attributes,such as school districts,positively influence housing purchase decisions in Nanning City.This study contributes to an improved understanding of home buyers’decision making in Nanning City.The beneficiaries of this study include home buyers and marketers and academic institutions.To better meet home buyers’needs and achieve a competitive advantage,marketers can use the research outcomes to focus more on those housing purchase factors that significantly influence house buyers’purchase decision making.

Effect of Normative and Socioeconomic Power Bases on Japanese Marital Decision-Making Authority

According to normative-resource theory,the balance of marital power is influenced by the effect of socioeconomic resources and subcultural expectations.The purpose of our study is to empirically test the effects of Japanese married individuals’comparative socioeconomic variables—education,age,occupation status,personal income,family income,urban/rural living area,years married,and the presence/number of children;and normative resources—the four dimensions of sex role orientation—on decision-making authority across the stages of automobile purchasing.The data of 500 demographically heterogeneous married individuals are analyzed by using a Lasso(least absolute shrinkage and selection operator)regression to select variables and to improve the accuracy of prediction and interpretation.The findings reveal that wives’authority is significantly influenced across all stages by their personal income and specific dimensions of their sex role orientation.On the other hand,husbands’authority is not affected by their perception of role norms,but only by their age.Contrary to expectations,the effects of education,occupation,and employment status are not significant in any of the cases,opening a discussion for cross-cultural comparison.The findings are interpreted and transformed into actionable items for managerial implications.

Why Free Will Is Logically Not Possible within Naturalism

One of the most intriguing problems of philosophy and of mankind is the question whether humans have a free will. This question is heavily disputed between natural scientists and especially neuroscientists, who deny free will, and philosophers and other groups, who insist on free will. It is perplexing that both sides base their premise on the same precondition, namely naturalism. We will prove that naturalism automatically leads to physicalism, to materialism, and to reductionism. We will also prove here that it is logically not possible to have a free will if naturalism is true. Free will definitely requires an additional substance, a non-material soul, which cannot be part of our universe. This must not be in contradiction to our current knowledge of natural sciences.

Big Data Study for Gluten-Free Foods in India and USA Using Online Reviews and Social Media

Celiac disease, gluten-allergy or gluten-sensitivity is caused due to glutamine protein from the grains like wheat, rye and barley (collectively called gluten). This protein damages the small intestine and causes stomach pain, bloating, weakness etc. Celiac disease, gluten-allergy or gluten-sensitivity has never really been taken seriously in developing countries like India. However, in developed nations like UK, USA, Canada and other parts of Europe, gluten-free foods have become quite popular. With a prevalence rate of about one in 100 - 133 people worldwide, celiac disease is widespread across the globe and life-long consumption of gluten-free food is recommended treatment for this allergy. Apart from celiac-disease patients, gluten-free foods are also consumed by health conscious people for weight management and high protein diet and by the patients for diabetes, autism and food allergies. Apart from gluten-free flour, biscuits, cookies and snacks, product innovations like gluten-free beers are becoming very popular. Big data including online blogs, articles, and reviews have played a major role in increased sales of gluten-free foods. Thus, analysis of editorial and social media content becomes essential to understand the leading trends in gluten-free foods. This study provided deep insights about positive, negative and neutral sentiments related to gluten-free foods using the data from Perspectory Media Insights and Google Trends. This study also revealed that most of the consumers talked and expected product innovation in food sections like snacks, fast food (pizza, pasta and noodles) and desserts through comments on social and editorial media. Searches were divided into developed (e.g., U.S.A.) and developing nations (e.g., India) to get more details about the consumer preferences. This study would help manufacturers of gluten-free foods to develop food products according to the choices and preferences of consumers. The study is very unique in itself since it combines big data to niche food market of gluten-free foods to draw the valuable consumer preferences using online platforms.

双积分政策下考虑电耗、新能源偏好的决策研究

为探讨汽车制造商面对国内汽车行业电气化转型的生产决策问题,在双积分政策背景下针对制造商、零售商组成的二级供应链构建两种生产情形下不同决策模型,并引入新能源汽车电能消耗和消费者新能源偏好,运用Stackelberg博弈求得不同生产情形中不同决策模式下供应链各成员最优生产决策与收益分析。结果表明:双积分政策的深入实施有利于提高新能源汽车电能消耗水平,降低新能源汽车销售价格,扩大市场规模的同时促使燃油车提高减排水平;车企应选择在集中决策模式下提高新能源车型产能,逐渐减少传统燃油车产量,给供应链中各成员带来更多收益;从短期看制造商继续生产燃油车的生产情形所获收益虽高于停产燃油车情形,但其收益波动较大且制造商停产燃油车全面转型生产新能源汽车后的收益呈稳定增长趋势。

社区团购三级供应链定价与渠道决策

社区团购平台进入理性竞争的稳健发展期,如何整合线下便利店渠道优化团长服务,以应对多渠道博弈是社区团购企业关注的重要内容。针对“社区团购+社区便利店”渠道整合有效性问题,基于消费者效用理论和Stakelberg博弈理论,构建由供应商、社区团购零售商和社区便利店的三级供应链博弈模型,对比分析不同渠道策略下供应商和社区团购零售商分别为渠道结构主导者时,供应链最优定价决策和利润分配,研究供应商和零售商博弈情形下社区团购零售商渠道整合策略获得利润增值的市场条件。研究表明,除了在分散渠道策略下的线下实体渠道产品销售价格会下降,社区团购渠道产品销售价格和批发价格都会随团长运营服务水平的提升而升高;供应商和零售商的权力结构并不影响社区团购渠道整合策略的选择,仅影响整合策略后获得利润增值大小;只有在消费者对线上渠道偏好程度较低且团长运营服务水平不太高时,整合策略才对社区团购渠道有利。研究结论不仅实现社区团购三级供应链最优定价决策和利润分配,同时帮助社区团购零售商有效整合社区便利店,提供可靠的理论依据和重要的政策启示。

产品共创视角下考虑消费者参与创新的供应链定价与协调

随着互联网技术的发展以及后现代主义消费意识的形成,产品共创已经成为市场中越来越多企业的共同选择。在产品共创视角下,以单制造商和单零售商组成的二级供应链为背景,构建供应链集中式决策模型和分散式决策模型,比较分析两种模型下消费者参与制造商产品创新的程度与制造商促使消费者参与的能力水平两个变量对供应链各成员定价决策的影响,并采用两部定价、收益共享以及成本共担三种协调机制对供应链进行协调。研究表明,当消费者参与产品创新的程度不大于某一阈值时,产品最优售价、需求量以及供应链总利润均与消费者参与产品创新的程度以及制造商促使消费者参与的能力水平呈同向变动关系;两部定价、收益共享以及成本共担三种协调机制均可实现供应链帕累托改进,而且相较于其余两种协调机制,两部定价契约对供应链的协调效果更为明显。

人工智能时代商标功能的嬗变及其制度因应

保护消费者利益是商标制度的重要价值目标。人工智能通过精准营销、体验式消费、替代决策等形式介入消费活动,在引发消费行为转向的同时逐渐动摇了以识别来源功能和广告功能为支柱的商标制度。对商品来源的抽象与对背景信息的简化本是商标的独特优势,却在与具有强大信息整合能力的人工智能的比较中日渐显现出信息遗漏与信息不对称的问题;商标具有财产属性,其使用能够刺激消费,但由于智能消费逐渐导致商标应用程度的降低,其广告效果也将有所削弱。因应人工智能时代商标功能的嬗变,商标制度应巩固其维护信息分配正义与竞争秩序的价值目标;强化对售后混淆的防范,全面保护识别来源功能;有限拓展反淡化规则的适用,在对广告功能的保障中实现对商誉的维护。

考虑策略型消费者后悔行为的易逝品零售商最优库存策略

易逝品零售商降价销售时,策略型消费者往往会经历高价后悔和缺货后悔,这两种后悔行为均会降低他们的购买效用,从而影响零售商库存决策和利润。因此,本文分别研究了价格外生和内生两种情形下高价后悔和缺货后悔对策略型消费者行为以及零售商库存决策和利润的影响。研究表明,对于高利润产品,零售商应实施瞄准短视型消费者(target myopic consumers,TMC)的策略。相反,对于低利润产品,零售商应实施瞄准短视和策略型消费者(target both myopic and strategic consumers,TBC)的策略。此外,随着高价(缺货)后悔水平的增加,策略型消费者原来认为是低(高)利润的产品,现在可能认为是高(低)利润产品,因此零售商最优策略可能会相应地改变。其次,对于低利润产品,当高价(缺货)后悔显著时,后悔行为对零售商产生负(正)影响,且高价后悔和缺货后悔呈现相反的作用;对于高利润产品,后悔行为不对零售商造成影响。再次,对于低利润产品,高价后悔加剧了(缺货后悔缓解了)策略型消费者行为的负影响;对于高利润产品,后悔行为不影响策略型消费者行为的负影响。最后,当零售商拥有全价决策权时,零售商总是能够利用决策全价的优势来消除高价后悔的负影响或发挥缺货后悔的正影响。

考虑消费者搜索行为的再制造供应链许可策略和区块链采用决策

区块链有望缓解再制造供应链缺乏信任和透明度的问题。论文研究分析了在考虑技术许可的情况下,区块链使得消费者能够免费获取再制造商产品的全部信息。论文建立了一个包括制造商和第三方再制造商的理论模型,旨在探索制造商的许可策略和再制造商的区块链采用决策。研究结果表明,制造商的最优许可策略主要受单位生产成本和固定许可费的影响。在固定许可策略中,当单位生产成本较低并且固定许可费较低时,再制造商应采用区块链;在特权许可费策略中,当单位生产成本较低并且固定许可费较低时或者当消费者搜索努力程度较高,并且单位生产成本及固定许可费均较高时,再制造商应采用区块链。论文还讨论了制造商的许可策略和再制造商的区块链采用策略在顺序博弈下如何相互作用。

消费者决策旅程视角基于评论的深度推荐方法

推荐系统的本质是建模消费者行为中隐藏的兴趣偏好.人的行为离不开心理,表象的行为背后蕴含着丰富的内在产生动机.然而,当前的推荐系统主要聚焦于对消费者表象的行为数据建模层面,很少涉及内在的心理活动和决策中对信息的加工过程,难以解析行为背后的产生路径.为此,本文研究了一种新的推荐系统方法创新思路,聚焦于基于评论的推荐场景,从消费者决策旅程视角出发,引入AIDMA阶段式决策模型,将消费者行为的产生过程视为对商品“引起注意→产生兴趣→唤醒欲望→留下记忆→决策行为”的决策旅程,并将其运用到深度学习的模型设计中,提出一种新的推荐方法.实验表明本研究方法的推荐效果显著优于现有方法.本研究遵循了“模型驱动+数据驱动”的大数据驱动研究范式,不仅实现了对推荐系统具有消费者行为理论模型支撑的深度学习方法创新,还为理解消费者在决策过程中对非结构化评论文本的信息加工过程提供了借鉴和参考.

选择集规模对服装网购决策满意度的影响研究

针对企业在竞争激烈的环境下不断细分市场推出越来越多产品种类的问题,文章基于选择超负荷理论,以736名网购用户为被试,采用网页开发技术搭建模拟线上购物平台,通过2项实验重点考察了服装网购情景下选择集规模对决策满意度的影响,并探究消费者困惑和调节模式在这一关系中的作用。结果显示:1)选择集内选项数量与决策满意度的关系呈倒U形结构,且存在一个“最优值”;2)消费者困惑能够在选择集规模与决策满意度的关系中起部分中介作用;3)选择集规模对决策满意度的直接预测作用及消费者困惑在两者关系中的中介作用均会收到调节模式的调节。相比运动模式者,评估模式者从大选择集进行决策时决策满意度更低,更容易出现选择超负荷。

考虑平台零售商的再制造产品销售渠道决策模型

文章假设平台零售商销售新产品,而对于再制造产品,考虑平台零售商销售和制造商通过平台直销2种模式,构建对应的再制造销售渠道模型;通过Karush-Kuhn-Tucker条件构造Lagrangian函数得到制造商和平台零售商的最优决策区域,分析不同供应链成员对再制造产品销售渠道的决策偏好。数值仿真实验结果表明:在考虑平台零售商的再制造销售渠道决策中,制造商一直倾向于新产品和再制造产品均由平台零售商销售;而平台零售商的决策依赖于再制造节约成本,当再制造节约成本较小时,平台零售商倾向于同时销售新产品和再制造产品,否则倾向于仅销售新产品,同时为制造商提供平台由其直接销售再制造产品。

颠覆性创新中政府、企业与消费者三方的博弈关系和决策演化机制

颠覆性创新需要政府、企业、消费者的共同参与和深度协作,厘清三方主体在颠覆性创新中的博弈关系和决策演化机制是进一步优化颠覆性创新环境、推动企业开展颠覆性创新的关键问题。然而现有颠覆性创新研究主要聚焦于技术突破层面,未把颠覆性创新置于真实的市场环境下,普遍忽略了消费者这一关键核心要素。因此,基于博弈论构建政府、企业、消费者三方的颠覆性技术创新决策动态演化博弈矩阵,综合考量三方的协同与竞争关系,并结合数值仿真阐释三方博弈策略演化过程,探讨3个关键变量——增加的政府补贴总额、企业挪用政府补贴用于渐进性创新需要付出的额外损失、企业颠覆性创新成功概率,剖析不同博弈主体在颠覆性创新中的策略选择、演化趋势和稳定条件。结果表明:短期内少量政府补贴能够刺激企业开展颠覆性创新,但长期性、大力度补贴容易导致企业对公共资源产生依赖,并增加投机风险,同时政府在支持颠覆性创新上相较于企业具有更大的试错空间,但也需要承担补贴带来的财政压力;消费者需求对颠覆性创新具有决定性作用,消费者认可的产品能够对企业决策产生根本性影响。因此,政府应谨慎评估潜在颠覆性创新的机遇和风险,以营造良好创新环境为第一优先事项,充分发挥市场在颠覆性创新中的决定作用。

品牌包装色彩设计对消费者购买决策的影响研究

在当前日益激烈的市场环境下,品牌包装的色彩是一个非常重要的因素。品牌的品质、性能是影响其消费行为的重要因素之一,而品牌的包装色彩设计又是影响其购买决策的有效条件。在品牌的包装中,色彩的合理使用能够激发消费者的兴趣,产生共鸣,进而做出购买决策。但是,要想真正了解品牌包装色彩设计对消费者购买决策的影响,还需要做进一步的研究。因此,文章对品牌包装色彩设计对消费者购买决策的影响研究作出详细阐述。

从精准化到精细化:线上信息干预对绿色农产品消费决策过程的动态影响

伴随农产品消费数智化渗透率的大幅提升,线上信息干预成为促进绿色农产品消费的重要手段。如何在聚焦消费者“买”或“不买”的人货精准化匹配的基础上,进一步基于消费者决策过程动态调整干预内容,对消费者进行“向善”“向绿”的精细化引导,是数智时代从需求端拉动农业绿色转型的前沿性议题。本文从绿色农产品属性信息切入,采用HMM与随机控制实验的混合研究方法,首先验证营养信息、环境信息及价格信息干预对消费者最终购买行为的影响效果,其次分析三种信息干预对消费者决策的动态推进过程,深入洞察消费者如何、何时改变了消费决策。研究发现:从消费者最终购买行为结果看,信息干预存在促进—抑制双因素、消费群体两极化的干预效果;从消费者决策过程看,信息干预对消费者决策过程存在激励—保健双因素作用效果,消费者的绿色农产品消费决策过程包含注意、兴趣、考虑和购买四种隐状态,三种信息干预对消费者隐性决策过程的推进效果存在明显差异。

基于专家启发的医院医用耗材准入决策体系建立与实践

目的:构建同类型医用耗材快速准入评估模型,以实现医用耗材管理的科学性、高效性与实用性平衡。方法:基于微型卫生技术评估(Mini-HTA)模型结合专家启发对同类型医用耗材的预期用途、技术特征等进行快速定性分析,利用德尔菲法征询专家意见,构建同类型医用耗材快速准入评估模型。选取2023年6月至2024年3月四川省人民医院临床使用的80种高值医用耗材,分别采用传统准入流程方法与专家启发优化方法进行医用耗材准入决策,每种方法遴选准入40种高值医用耗材,对比分析两种不同准入决策方法的决策过程和审批时间的差异。结果:同类型医用耗材快速准入评估模型的准入决策体系指标包括临床效果、可靠性、经济性、价值观和意愿、医院管理以及企业服务6项一级指标和25项二级指标。采用同类型医用耗材快速准入评估模型进行医用耗材准入决策的审批环节由传统准入流程的10个减少到2个,审批时间从平均7.03 d缩短至2.43 d。结论:基于专家启发的同类型医用耗材快速准入评估模型能显著优化医用耗材准入流程,提高医用耗材准入决策的全面性和透明度,提升医用耗材管理效率。