网络服装展示对消费者购买意向的影响机理

探讨服装数字化信息展示影响网络消费者购买意向的机理.在回顾国内外相关研究的基础上,通过对技术接受模型的延伸,以网上购物感知、行为意向作为基本研究变量,引入服装款式信息展示和服装价值信息展示作为自变量.通过实证研究,验证了此模型在网络环境下购买服装的有效性,并提出了营销建议.     

购物节营销手段对消费者服装网购行为的影响

为研究购物节营销手段对消费者服装购买行为和退货行为的影响，构建购物节营销手段、消费者冲动性和网购行为的理论模型。通过问卷调查法获取数据，利用SPSS 26.0软件进行因子分析和多元回归分析验证假设。结果表明：购物节营销手段显著影响消费者的购买行为；冲动性在购物节营销手段对消费者服装购买行为的影响中存在部分中介效应；购物节营销手段中图文展示对消费者的退货行为有显著影响。通过研究为电商在购物节期间的营销管理提出建议，以促进购物节环境下消费者对服装的购买行为。     

服装消费者使用直播购物的影响因素探究

为探究影响服装消费者使用直播购物的因素,通过文献梳理和分析构建研究理论模型,运用问卷调查法和结构方程模型分析发现：消费者对直播购物的感知有用性、感知易用性、主观规范和信任均对使用直播购物有显著正向影响;感知易用性和主观规范均显著正向影响感知有用性。此外,直播中的社会临场感可以显著影响消费者对直播的信任,但对直播的使用意向影响不显著。研究结论有助于促进服装消费者使用直播购物,对提高相关从业人员的直播营销效果具有借鉴意义。     

服务时间对服装零售的影响

服装商品种类繁多,消费者往往需要花费很多时间和精力才能够买到满意的服装.为了让消费者方便快捷的购物,文章主要探索服装零售服务时间对消费者购物行为的影响以及服装企业如何通过改善零售服务时间实现增值.     

服装产品营销属性对购买行为影响的实证研究

从产品的营销属性出发,加入新媒体传播和消费者态度这两个中介变量,研究产品营销属性、新媒体传播、消费者态度和消费者购买行为之间的关系。以松江大学城的大学生服装消费群体为实证对象,借助SPSS 20.0和AMOS 20.0对模型进行验证分析,构建了服装产品营销属性影响购买行为的量化模型。研究结果表明,产品的营销属性对购买行为的直接作用明显,且通过新媒体传播和消费者态度间接地影响购买行为。为此,服装生产商和经销商应注重产品信息在新媒体上的传播,打造良好的品牌形象,做好产品质量和功能之外的细节,注重消费者情感体验,促成其实际的购买行为。     

服务时间对服装零售的影响

服装商品种类繁多,消费者往往需要花费很多时间和精力才能够买到满意的服装。为了让消费者方便快捷地购物,探索了服装零售服务时间对消费者购物行为的影响以及服装企业如何通过改善零售服务时间实现增值。     

虚拟社区时尚意见领袖对服装消费行为的影响

虚拟社区作为消费者分享和交流产品消费经验的开放型平台,不断涌现出时尚、科技等领域的意见领袖,这些意见领袖对消费者行为的影响吸引了学者的广泛关注。文章以刺激-机体-反应和计划行为理论为框架,提出虚拟社区中时尚意见领袖对服装消费行为的研究假设,并采用结构方程模型进行验证。结果表明:意见领袖的专业性、同质性和活跃性等环境刺激因素均对消费者行为态度、主观规范和感知行为控制等个体状态产生显著的正向影响;行为态度、主观规范和感知行为控制均对行为意向产生显著正向影响;行为意向正向显著影响购买行为。     

服装卖场背景音乐对消费者情感与购买行为的影响

背景音乐是影响购物环境的重要因素之一.通过分析研究购物环境中背景音乐应用原理及服装卖场背景音乐应用现状,探讨了背景音乐对消费者情感与购买行为的影响,指出应合理应用背景音乐促进服装市场营销.     

网络口碑对服装购买意愿的影响

在回顾国内外相关研究的基础上,从服装消费者的品牌取向和产品取向两方面建立了网络口碑信息压力和意见领袖对服装消费者购买意愿的影响模型,并通过网络消费者调研检验了该模型.研究发现,网络口碑中的信息压力、意见领袖对服装消费者态度有显著影响:网络口碑信息通过影响信息接受者的品牌态度进而正向影响消费者服装购买意愿.为服装品牌网站如何更好地利用网络口碑树立有效的营销沟通策略提出建议.     

服装网络营销实践研究——评《服装网络营销》

正《服装网络营销》一书紧密围绕着服装网络营销的实际问题,理论联系实际,详细地介绍了服装网络营销必备的专业知识,突出了培养服装网络营销工程师必需的服装产品知识和网络运营能力。该书共分为七章,包括服装网络营销概述、网上服装消费者分析、网上服装产品、网上服装价格、网上服装促销、网上销售渠道、服装网店管理。《服装网络营销》涉及到了一系列服装网络营销可能遇到的问题,例如网上服装价格定价方式、定价调整,网上服装促销直通车、钻石     

Acceptance of apparel private sale sites by consumers: application of original and extended technology acceptance model

In this study, the private sale sites, a new way of online retailing of especially fashion type of apparel products, are investigated in order to determine and understand the acceptance of them by the consumers. The factors that determine the attitude and intention of consumers toward private sale sites are analyzed using two models: the original technology acceptance model (TAM) and proposed TAM which is extended with addition of distinctive features of these sites. These features are specified as quality dimensions in three groups, namely, system flexibility, service reputation, and service attractiveness. Both TAM and proposed TAM models are validated using confirmatory factor analysis and structural equation modeling on the data obtained from a sample of 344 people living in Turkey. In the end, it is suggested that the apparel retailers to focus on the service attractiveness and service reputation in order to influence the attitude of the consumers and motivate them to use the private sale sites.     

品牌服装双营销渠道竞争与合作模型构建及应用

针对服装企业线下营销渠道和线上营销渠道共同销售的特点,运用微分方程理论构建双重渠道间竞争与合作模型（以下简称为竞合模型）,推导出带有竞合系数的线上线下销量数学模型。以优衣库和秋水伊人品牌双渠道销量作为实证数据。结果表明：以门店模式为策略的优衣库及以改良模式为策略的秋水伊人渠道双方都处于合作共赢状态,竞合模型能客观衡量品牌服装线上线下渠道竞争与合作关系。最后,结合模型预测作出优衣库和秋水伊人的双渠道销量趋势图,分析服装企业线上线下渠道融合策略,为品牌服装企业探讨双渠道整合管理供参考。     

Key factors influencing the adoption of apparel mobile commerce: an empirical study of Chinese consumers

In recent years, mobile commerce (m-commerce) has experienced an extraordinary growth in China. Apparel brands and retailers envision they will replicate the success they have achieved in traditional electronic commerce via emerging m-commerce. Therefore, understanding of Chinese consumer’s m-commerce adoption behavior has attracted increasing attentions from both marketers and academia. This study aimed to identify the key factors influencing the Chinese consumers’ intentions to use apparel m-commerce. An enhanced consumer’s apparel m-commerce adoption model was developed through integrating the existing e-commerce/m-commerce theories/models (i.e. Theory of Reasoned Action, Technology Acceptance Model, and Diffusion of Innovation Theory). A total of 287 eligible responses were collected via an online questionnaire survey in China. Factor analysis and multiple regression analysis were utilized for data analysis and hypothesis testing. Results show that perceived usefulness, perceived ease-of-use, subjective norm, compatibility, and past non-store shopping experience positively affect the Chinese consumers’ intention to use apparel m-commerce.     

C2C环境下服装零售感知服务质量综合评价模型

为分析C2C服装网购顾客对服务质量评价的主要因素并构建评价模型,以经典的eTailQ、E-S-Qual服务质量模型为理论框架,基于中国消费者视角及C2C环境下服装零售的特性,设计开发评价量表。通过焦点小组访谈、问卷调查和数据分析,构建了服装零售服务质量的测评模型,包括履行性、隐私性、功效性、享乐性、补偿性5个维度18个测量指标。验证性因子分析结果显示,该模型具有良好信度和效度。同时也验证了eTailQ、E-S-Qual模型并不适用于中国C2C交易环境。通过实证的方法分析维度对服务质量的预测能力,结果表明：履行性和享乐性维度对服务质量的预测最为显著,功效性和补偿性维度次之,隐私性维度对服务质量的预测并不显著。     

Comparison of three-dimensional reconstruction approaches for anthropometry in apparel design

The anthropometry is the fundamental knowledge for apparel design. While quite a few techniques have been developed for this purpose, it also becomes an obstacle for conducting a customized apparel design. Not only because most of them are expensive but they are also not quite clarified in their accuracy, speed, implement, and complexity. This article investigates three existing anthropometric approaches including two-dimensional–three-dimensional (2D-3D) mapping, point-cloud approach, and dense-reconstruction approach. With conducting three experiments in terms of these approaches, 3D reconstructive model have been built and then used for anthropometry. The results in this study have addressed the aforementioned issues; in particular, the accuracy and reliability of the anthropometric measurements built on these three approaches have been clarified. There are two main contributions out from this study. The first one is the provision of several references for users or customers to select anthropometric approaches in different apparel design scenarios. The second one is the provision of the fundamental knowledge of anthropometry for the development of conducting a customized apparel design online.     

服装线上零售渠道消费者决策机制

为探析服装消费者线上购买决策模式,为服装线上零售店铺提供针对性的优化方案,参考已有文献构建出消费者决策指标,通过专家访谈确定重点指标。案例以品牌天猫旗舰店为研究载体,基于五段量表对消费者进行指标满意度和购买意愿问卷调查。通过因子分析提取了5个决策因子,经最优尺度回归建立消费者购买意愿回归方程。计算结果表明消费者在案例店铺购物意愿一般,店铺存在优化空间。分析结果发现：5个决策因子对消费者的购买意愿均产生正相关影响;其中售后、选货等因子对消费者购买意愿影响显著,而案例店铺在安全方面的表现需要重点提升。     

北京居民的服装绿色消费情感与行为实证研究

为了探究北京居民服装绿色消费认知、态度、意愿与行为间的关系,从消费端助力实现“碳达峰”与“碳中和”目标,基于1 005份调查问卷,构建了包括服装绿色消费认知、态度和5项绿色服装品牌消费意愿(材料、生产、包装、运输、售后)、5项服装绿色消费行为(搜集、购买、使用、护理、处置)的结构方程模型。结果表明:消费者对服装绿色消费的认知会显著影响其消费态度,进而影响其绿色服装品牌消费意愿,随后在一定程度上助力态度转化绿色消费行为;绿色包装、售后服装品牌消费意愿会对消费者的服装绿色信息搜集、使用、护理、处置产生正向显著影响,但难以影响绿色购买行为;而绿色材料、生产、运输服装品牌消费意愿则不会对消费者的5项服装绿色消费行为产生显著影响;在此基础上,强化政府对服装绿色消费知识的普及教育,推动企业绿色发展并积极承担社会责任,引导消费者践行多种服装绿色消费行为将有助于促进服装绿色消费。     

A cross-national study of young female consumer behaviour,innovativeness and apparel evaluation: China and India

Abstract

In order to advance our knowledge about consumers’ shopping behaviour and preferences in two emerging markets (China and India), the current study was undertaken to investigate (1) apparel consumers’ shopping behaviour; (2) the effect of consumer innovativeness, and (3) the salient impact of apparel evaluative cues. An online self-administered survey consisted of shopping behavioural questions, the Domain Specific Innovativeness (DSI) scale, 12 apparel cues, and demographic questions were used for this study. In total, 266 and 236 usable data were collected from Chinese and Indian female participants respectively. The findings indicated that Chinese and Indian fashion innovators tended to spend more money on new clothes than non-innovators. Chinese fashion innovators spent significantly more time shopping online than did Indian innovators. In terms of the importance of evaluative cues, fashion innovators and non-innovators in both countries considered fit to be the most important cue; style, colour, and comfort played a relatively important role in clothing evaluation as well, but ease of care and durability were cited as relatively less important among many other cues. The two least important cues were brand name and country of origin.     

新零售背景下服装销售渠道整合转型研究

为探究新零售模式与传统双渠道模式的异同,帮助传统服装企业的新零售模式转型,基于效用理论并结合服装特性,分别设计双渠道模式和新零售模式的服装消费者效用函数,定量刻画服装消费者需求和服装零售商利润模型。通过数值算例,探讨线上信任程度、线下体验服务水平以及“线上订购,线下取货”(BOPS)不便利程度对渠道整合转型的作用以及对服装零售商利润的影响。结果表明:线上信任程度达到一定阈值时,双渠道模式下的服装企业实行线上线下同价策略更为有利;新零售模式下,BOPS不便利程度对服装零售商利润影响最大,线上信任程度对服装零售商利润影响最小;新零售模式的施行将大幅提升服装零售商的利润。     

Effects of gender on work-related attitudes: study of lean implemented textile and apparel manufacturing firms

Work related attitudes, such as perceived organizational support, turnover intention, job satisfaction, affective commitment, and job involvement, have received much attention by academics and practitioners for a number of reasons. Previous research indicates that such attitudes have important organizational consequences. However, little attention has been given to investigate the differential effect of gender on the work-related attitudes, in particular shop-floor employees of the textile and apparel manufacturing sector. In this study, using a sample of 616 employees in the textile and apparel manufacturing industry, the effects of gender on work-related attitudes was investigated. The results suggested that women perceived more organizational support, job satisfaction, affective commitment, and job involvement than men. However, despite the above positive work attitudes, women perceive higher turnover intention than men. This contradicts the general findings of organizational behavior theory that higher work attitudes lead to lower turnover intention.