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Analysis of Green Innovation of the E-Tailer and Supplier with a Drop Shipping Option in E-Commerce 分析在电子商务中采用分批发货方式的网络零售商和供应商的绿色创新
IF 5.6 3区 管理学 Q1 BUSINESS Pub Date : 2023-12-28 DOI: 10.3390/jtaer19010002
Yuepeng Cheng, Bo Li
As customer demand for green products increases in the digital economic era, this study analyses the green innovation of the e-tailer and supplier in drop shipping models. Moreover, drop shipping e-tailers and suppliers with a drop shipping option need to make choices regarding whether to provide green or normal products to the market. When a supplier with a drop shipping option produces green products, more fees may be invested in the production of green products than on normal products. The drop shipping e-tailers and suppliers with a drop shipping option can also choose to sell normal products at a low cost, as before. This study designs four models of drop shipping e-tailers and suppliers with a drop shipping option under different choices, analyzes their operational process in drop shipping models, and investigates five theorems. The optimal pricing decisions and green degree of drop shipping e-tailers and suppliers with a drop shipping option were evaluated in this study. The impacts of the green innovation factor, green elasticity coefficient, manufacturing and distribution costs on the drop shipping e-tailers and suppliers with a drop shipping option, and the effect of other environmental parameters on the green degree of green products are also analyzed through computer simulation. The findings of the simulation analysis provide valuable guidance for e-tailers and suppliers with green innovation in drop shipping models and offer important academic and practical implications for e-commerce and the digital economy.
随着数字经济时代客户对绿色产品需求的增加,本研究分析了代发货模式中网络零售商和供应商的绿色创新。此外,提供代发货服务的网络零售商和供应商需要就向市场提供绿色产品还是普通产品做出选择。当供应商选择生产绿色产品时,生产绿色产品的投入可能比生产普通产品的投入更多。与以往一样,提供代发货服务的网络零售商和供应商也可以选择低价销售普通产品。本研究设计了四种不同选择下的滴滴发货网络零售商和滴滴发货供应商模型,分析了他们在滴滴发货模型中的运作过程,并研究了五个定理。本研究评估了有降价运输选择的降价运输网络零售商和供应商的最优定价决策和绿色程度。此外,还通过计算机仿真分析了绿色创新系数、绿色弹性系数、制造和分销成本对选择滴滴发货的网络零售商和供应商的影响,以及其他环境参数对绿色产品绿色程度的影响。仿真分析结果为采用绿色创新滴滴发货模式的网络零售商和供应商提供了有价值的指导,对电子商务和数字经济的发展具有重要的学术和实践意义。
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引用次数: 0
Time-of-Day and Day-of-Week Effects on TV and OTT Media Choices: Evidence from South Korea 时间和星期对电视和 OTT 媒体选择的影响:来自韩国的证据
IF 5.6 3区 管理学 Q1 BUSINESS Pub Date : 2023-12-25 DOI: 10.3390/jtaer19010001
Yun-Woo Choi, Changjun Lee
The objective of this manuscript is to investigate the determinants influencing the selection of over-the-top (OTT) platforms as opposed to traditional television mediums—cable, Internet protocol television (IPTV), and satellite broadcasting—for the consumption of content such as television shows and films. Employing data extracted from the 2020 Media Panel comprising 423,851 observations garnered from personal media diaries, this study scrutinizes the impacts of individual attributes, environmental conditions, and temporal factors on platform choice. The findings reveal a temporal influence characterized by a “Friday effect” and a heightened preference for OTT platforms during early afternoon (12:00–16:00) and late-night hours (00:00–04:00). Notably, the likelihood of selecting OTT platforms is significantly augmented during the late-night period in comparison to other time frames. In relation to individual characteristics, variables such as male gender, younger age, higher educational attainment, and elevated income levels were positively correlated with a predilection for OTT platforms. Additionally, environmental variables such as possession of an unlimited data plan and ownership of a tablet personal computer also emerged as significant predictors for OTT preference. Furthermore, the presence of a beam projector during late-night hours and residing in a household with multiple occupants during afternoon hours also served as contributing factors for OTT utilization. In conclusion, the study offers critical insights for stakeholders in both traditional television and burgeoning OTT markets, providing data-driven recommendations for the strategic allocation of resources in consideration of day-of-week and time-of-day variables.
本手稿旨在研究影响人们选择OTT(Over-the-Top)平台消费电视节目和电影等内容的决定因素,而不是传统电视媒体(有线电视、互联网协议电视(IPTV)和卫星广播)。本研究采用了从 2020 媒体面板(2020 Media Panel)中提取的数据,包括从个人媒体日记中获得的 423,851 条观察结果,仔细研究了个人属性、环境条件和时间因素对平台选择的影响。研究结果揭示了时间因素的影响,其特点是 "周五效应 "以及在下午早些时候(12:00-16:00)和深夜时段(00:00-04:00)对 OTT 平台的更高偏好。值得注意的是,与其他时段相比,深夜时段选择 OTT 平台的可能性明显增加。在个人特征方面,男性、年轻、高学历和高收入水平等变量与对 OTT 平台的偏好呈正相关。此外,拥有无限数据计划和平板电脑等环境变量也是预测 OTT 偏好的重要因素。此外,深夜有光束投影仪和下午有多人居住的家庭也是使用 OTT 的诱因。总之,这项研究为传统电视和新兴 OTT 市场的利益相关者提供了重要的见解,为考虑周日和时间变量的资源战略分配提供了数据驱动的建议。
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引用次数: 0
Are eBay’s Feedback Ratings Consistent with the Sentiments Embedded in Textual Comments? An Empirical Study eBay 的反馈评级与文本评论中的情感一致吗?实证研究
IF 5.6 3区 管理学 Q1 BUSINESS Pub Date : 2023-12-15 DOI: 10.3390/jtaer18040114
Xubo Zhang, Yanbin Tu, Ke Zhong
eBay’s feedback rating system is currently widely used. In this study, we examine if eBay’s feedback rating types (+, 0, −) are consistent with the sentiments reflected in the textual comments posted by buyers. Using the datasets collected from eBay, we test the hypotheses associated with the research questions at three levels: individual, group, and total. Overall, the types of feedback ratings are consistent with the sentiments embedded in the textual comments. However, there are some issues with eBay’s current feedback rating system: (1) at the individual level, the correlation coefficient between the ratings and the comments’ sentiments is low at 0.4311 (<0.5). While the three types of ratings are symmetric, like (−1, 0, +1), buyers’ textual comments have asymmetric distributions of sentiments among these three types. The three simple feedback ratings (+, 0, −) are not fully aligned with the sentiments revealed in the textual comments posted by buyers. We propose expanding the current three ratings into five ratings such as (−2, −1, 0, +1, +2), which might help remedy the issue. We contribute to the literature by tapping into this less-studied area vital to improving the online marketplace’s efficiency.
eBay 的反馈评级系统目前被广泛使用。在本研究中,我们将研究 eBay 的反馈评级类型(+、0、-)是否与买家发布的文字评论所反映的情感一致。利用从 eBay 收集到的数据集,我们从个体、群体和总体三个层面检验了与研究问题相关的假设。总体而言,反馈评级的类型与文字评论中蕴含的情感是一致的。然而,eBay 目前的反馈评级系统存在一些问题:(1)在个人层面,评级与评论情感之间的相关系数较低,仅为 0.4311(<0.5)。虽然三种类型的评分是对称的,如(-1、0、+1),但买家的文字评论在这三种类型中的情绪分布是不对称的。三种简单的反馈评级(+、0、-)与买家发表的文字评论中揭示的情感并不完全一致。我们建议将目前的三个评级扩展为五个评级,如(-2、-1、0、+1、+2),这可能有助于解决这一问题。我们对这一研究较少的领域做出了贡献,这对提高在线市场的效率至关重要。
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引用次数: 0
Altruism in eWOM: Propensity to Write Reviews on Hotel Experience 网络口碑中的利他主义:撰写酒店体验评论的倾向性
IF 5.6 3区 管理学 Q1 BUSINESS Pub Date : 2023-12-13 DOI: 10.3390/jtaer18040113
Miguel Llorens-Marin, Adolfo Hernandez, Maria Puelles-Gallo
This research tests the relationship between aspects of customer influenceability at the time of booking a hotel with the propensity to write a review in electronic word-of-mouth communication. A valid sample of 739 online questionnaires was obtained. An Exploratory Factor Analysis was conducted in order to reduce the dimensions of the two critical variables, and a measurement model was built. Then a Path analysis was carried out. The novelty of this research lies in measuring the evolution from being a passive eWOM reader to a proactive eWOM writer. Results indicate a relationship between being influenced by reading reviews and the propensity to write reviews. The most important underlying motivation to write a review is altruistic. Managers should try to identify the most responsive customers and encourage them to write reviews on altruistic grounds. This study effectively validated the impact of being responsive to reading reviews on the inclination to, in turn, write them. Findings contribute to the evolving research landscape in eWOM within the hospitality and tourism sector, offering practical insights for industry practitioners to formulate more effective strategies in soliciting and managing customer reviews.
本研究测试了顾客预订酒店时的可影响性与在电子口碑传播中撰写评论的倾向之间的关系。研究获得了 739 份在线问卷的有效样本。为了减少两个关键变量的维度,进行了探索性因子分析,并建立了测量模型。然后进行了路径分析。这项研究的新颖之处在于测量了从被动的网络口碑阅读者到主动的网络口碑撰写者的演变过程。结果表明,受阅读评论的影响与撰写评论的倾向之间存在关系。写评论最重要的潜在动机是利他。管理者应努力找出反应最积极的顾客,鼓励他们出于利他主义写评论。这项研究有效地验证了阅读评论的积极性对反过来撰写评论的倾向的影响。研究结果为酒店和旅游行业不断发展的电子口碑研究领域做出了贡献,为行业从业人员制定更有效的客户评论征集和管理策略提供了实用的见解。
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引用次数: 0
Comment on Gruntkowski, L.M.; Martinez, L.F. Online Grocery Shopping in Germany: Assessing the Impact of COVID-19. J. Theor. Appl. Electron. Commer. Res. 2022, 17, 984–1002 评论 Gruntkowski, L.M.; Martinez, L.F. 《德国网上杂货购物》:评估 COVID-19 的影响》。J. Theor.J. Theor.J. Theor.2022, 17, 984-1002
IF 5.6 3区 管理学 Q1 BUSINESS Pub Date : 2023-12-13 DOI: 10.3390/jtaer18040112
Leo Van Hove
Gruntkowski and Martinez examined the impact of factors such as perceived risk and perceived usefulness on German consumers’ intention to purchase groceries online once the COVID-19 pandemic had subsided. They also compared consumer perceptions before and during the COVID-19 outbreak. This comment shows that Gruntkowski and Martinez’s research suffers from a number of problems, the most important of which is the use of an unrepresentative sample. They should therefore have refrained from generalizing their findings to the German population.
Gruntkowski 和 Martinez 研究了 COVID-19 大流行平息后,感知风险和感知有用性等因素对德国消费者网购杂货意向的影响。他们还比较了消费者在 COVID-19 爆发前和爆发期间的看法。这一评论表明,Gruntkowski 和 Martinez 的研究存在许多问题,其中最重要的是使用了不具代表性的样本。因此,他们应该避免将研究结果推广到德国人口中。
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引用次数: 0
Consumer Intentions to Switch On-Demand Food Delivery Platforms: A Perspective from Push-Pull-Mooring Theory 消费者转换按需食品配送平台的意愿:推拉锚定理论的视角
IF 5.6 3区 管理学 Q1 BUSINESS Pub Date : 2023-12-05 DOI: 10.3390/jtaer18040111
I-Chiu Chang, Win-Ming Shiau, Chih-Yu Lin, Dong-Her Shih
With a burgeoning market and a multitude of on-demand food delivery (OFD) platforms offering diverse options, comprehending the reasons that drive consumers to switch between platforms is paramount. The push-pull-mooring (PPM) theory provides a comprehensive framework for assessing why and how consumers navigate, guiding strategic decisions for service providers seeking to optimize their offerings and retain their customer base. This research employs the PPM theory to rigorously analyze how these elements influence consumers’ intentions to switch between OFD platforms in Taiwan. Findings from a comprehensive survey of 441 OFD users reveal that both pull and mooring factors exert a significant influence on consumers’ inclination to switch platforms, collectively explaining about 42% of the switching intention. Recognizing these critical factors empowers managers to make judicious decisions aimed at enhancing platform offerings and refining marketing strategies, ultimately fortifying customer retention and bolstering satisfaction levels.
随着市场的蓬勃发展和众多按需食品配送(OFD)平台提供多样化的选择,理解驱动消费者在平台之间切换的原因至关重要。推挽系泊(PPM)理论提供了一个全面的框架,用于评估消费者导航的原因和方式,指导服务提供商优化产品和留住客户群的战略决策。本研究运用PPM理论,严格分析这些因素如何影响台湾消费者在外派平台间的转换意愿。一项针对441名OFD用户的综合调查结果显示,拉动和系泊因素对消费者切换平台的倾向都有显著影响,共同解释了约42%的切换意愿。认识到这些关键因素,使管理者能够做出明智的决定,旨在提高平台产品和完善营销策略,最终加强客户保留和提高满意度。
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引用次数: 0
A Brief Survey of Machine Learning and Deep Learning Techniques for E-Commerce Research 电子商务研究中的机器学习和深度学习技术综述
IF 5.6 3区 管理学 Q1 BUSINESS Pub Date : 2023-12-04 DOI: 10.3390/jtaer18040110
Xue Zhang, Fusen Guo, Tao Chen, Lei Pan, Gleb Beliakov, Jianzhang Wu
The rapid growth of e-commerce has significantly increased the demand for advanced techniques to address specific tasks in the e-commerce field. In this paper, we present a brief survey of machine learning and deep learning techniques in the context of e-commerce, focusing on the years 2018–2023 in a Google Scholar search, with the aim of identifying state-of-the-art approaches, main topics, and potential challenges in the field. We first introduce the applied machine learning and deep learning techniques, spanning from support vector machines, decision trees, and random forests to conventional neural networks, recurrent neural networks, generative adversarial networks, and beyond. Next, we summarize the main topics, including sentiment analysis, recommendation systems, fake review detection, fraud detection, customer churn prediction, customer purchase behavior prediction, prediction of sales, product classification, and image recognition. Finally, we discuss the main challenges and trends, which are related to imbalanced data, over-fitting and generalization, multi-modal learning, interpretability, personalization, chatbots, and virtual assistance. This survey offers a concise overview of the current state and future directions regarding the use of machine learning and deep learning techniques in the context of e-commerce. Further research and development will be necessary to address the evolving challenges and opportunities presented by the dynamic e-commerce landscape.
电子商务的快速发展大大增加了对先进技术的需求,以解决电子商务领域的具体任务。在本文中,我们简要介绍了电子商务背景下的机器学习和深度学习技术,重点关注2018-2023年的谷歌学术搜索,目的是确定该领域最先进的方法、主要主题和潜在挑战。我们首先介绍了应用机器学习和深度学习技术,从支持向量机、决策树和随机森林到传统神经网络、循环神经网络、生成对抗网络等。接下来,我们总结了主要的主题,包括情感分析、推荐系统、虚假评论检测、欺诈检测、客户流失预测、客户购买行为预测、销售预测、产品分类和图像识别。最后,我们讨论了与数据不平衡、过度拟合和泛化、多模态学习、可解释性、个性化、聊天机器人和虚拟辅助相关的主要挑战和趋势。本调查提供了关于在电子商务背景下使用机器学习和深度学习技术的现状和未来方向的简要概述。进一步的研究和发展将是必要的,以应对不断变化的挑战和机遇的电子商务前景。
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引用次数: 0
COVID-19 and Supply Chain Disruption Management: A Behavioural Economics Perspective and Future Research Direction COVID-19与供应链中断管理:行为经济学视角及未来研究方向
IF 5.6 3区 管理学 Q1 BUSINESS Pub Date : 2023-11-29 DOI: 10.3390/jtaer18040109
Chase Smith, Hajar Fatorachian
The COVID-19 pandemic has been one of the most severe disruptions to normal life, impacting how businesses operate. The academic literature in the areas of supply chain and operations management has been trying to explain how this has affected decision-making in businesses. However, the existing literature has predominantly overlooked organisational culture and behavioural economic theories. This paper contends that considering the decisions made in supply chain disruption management involve groups and the individuals within them, the relevance of behavioural economic concepts becomes paramount. As such, the objective of this paper is to conduct an integrative literature review, utilising the purposive sampling method to explore the dearth of academic work connecting behavioural economic theories and organisational culture to supply chain disruption management. Additionally, the paper aims to offer guidelines for future research in this domain. Enhancing our comprehension of these domains concerning supply chain disruption management would empower firms to better anticipate their parties’ decisions, refine their decision-making models, and cultivate stronger relationships with suppliers and customers.
COVID-19大流行是对正常生活最严重的干扰之一,影响了企业的运营。供应链和运营管理领域的学术文献一直在试图解释这是如何影响企业决策的。然而,现有文献主要忽视了组织文化和行为经济理论。本文认为,考虑到供应链中断管理中的决策涉及群体和其中的个人,行为经济概念的相关性变得至关重要。因此,本文的目的是进行综合文献综述,利用有目的的抽样方法来探索将行为经济理论和组织文化与供应链中断管理联系起来的学术工作的缺乏。此外,本文旨在为该领域未来的研究提供指导。加强我们对这些与供应链中断管理有关的领域的理解,将使公司能够更好地预测其各方的决策,改进其决策模型,并与供应商和客户建立更牢固的关系。
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引用次数: 0
Enhancing Traceability in Wine Supply Chains through Blockchain: A Stackelberg Game-Theoretical Analysis 通过区块链提高葡萄酒供应链的可追溯性:一个Stackelberg博弈论分析
IF 5.6 3区 管理学 Q1 BUSINESS Pub Date : 2023-11-22 DOI: 10.3390/jtaer18040108
Yuxuan Kang, Xianliang Shi, Xiongping Yue, Weijian Zhang, Samuel Shuai Liu
Blockchain technology has been adopted to improve traceability and authenticity in wine supply chains (WSCs). However, whether through outsourcing or self-implementation of a blockchain-based wine traceability system (BTS), there are significant costs involved, as well as concerns regarding consumer privacy. Motivated by observations of real-world practice, we explore the value of blockchain in enhancing traceability and authenticity in WSCs through a Stackelberg game-theoretical analysis. By comparing the equilibrium solutions of the scenarios with and without blockchain, we uncover the value of blockchain in tracing wine products. Our findings show that blockchain adoption can increase WSC prices under certain conditions. We derive the threshold for a third-party BTS service fee that determines blockchain adoption for tracing wine products and reveal the moderating effect of consumer traceability preferences and privacy concerns. Furthermore, the investigation of who should lead the implementation of BTS finds that the equal cost sharing between the manufacturer and the retailer results in no difference in BTS implementation leadership. Otherwise, the manufacturer always benefits from taking the lead in the implementation of BTS, and the retailer should undertake a leadership role in BTS implementation if they need to bear higher costs.
区块链技术已被用于提高葡萄酒供应链(WSCs)的可追溯性和真实性。然而,无论是通过外包还是自行实施基于区块链的葡萄酒可追溯系统(BTS),都涉及到巨大的成本,以及对消费者隐私的担忧。基于对现实世界实践的观察,我们通过Stackelberg博弈论分析,探索了区块链在增强WSCs可追溯性和真实性方面的价值。通过比较有区块链和无区块链场景的平衡解,我们揭示了区块链在追踪葡萄酒产品方面的价值。我们的研究结果表明,在某些条件下,采用区块链可以提高WSC的价格。我们得出了第三方BTS服务费用的门槛,该门槛决定了区块链用于追踪葡萄酒产品的采用,并揭示了消费者可追溯性偏好和隐私问题的调节作用。此外,对谁应该领导BTS实施的调查发现,制造商和零售商之间的成本分担相等,导致BTS实施领导没有差异。否则,制造商总是因为率先实施BTS而受益,而零售商如果需要承担更高的成本,则应该在实施BTS方面发挥领导作用。
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引用次数: 0
Analysis of Online Platforms’ Free Trial Strategies for Digital Content Subscription 网络平台数字内容订阅免费试用策略分析
IF 5.6 3区 管理学 Q1 BUSINESS Pub Date : 2023-11-20 DOI: 10.3390/jtaer18040106
Li Chen
Adopting subscription models has become a popular trend in e-commerce. Digital content platforms often use free trials to attract potential subscribers. However, rigorous research on platforms’ free trial strategies is lacking. Our paper aims to fill this gap using a horizontal duopoly framework. We investigate both the scenario of market symmetry and of market asymmetry. We study the benchmark case with no free trial for each scenario and derive equilibrium results with free trial promotion. We find that the platform will not benefit from free trials unless consumers’ learning rate exceeds a threshold. When a free trial is introduced in market symmetry, a higher rate of consumers’ learning leads to a higher price of subscription and a shorter free trial length. In addition, when the network effect is incorporated, the platform will introduce a lower subscription price and a shorter free trial length. Under market asymmetry, our results show that the platform faces a higher threshold of consumers’ learning rate. Additionally, it will offer a higher price and a longer period of free trial compared with those under the market symmetry scenario. Overall, our study provides useful managerial insights for online content platforms when considering their subscription strategies.
采用订阅模式已经成为电子商务的流行趋势。数字内容平台通常使用免费试用来吸引潜在用户。然而,目前还缺乏对平台免费试用策略的严谨研究。本文旨在利用横向双寡头框架来填补这一空白。我们研究了市场对称和市场不对称两种情形。我们研究了每种情况下没有免费试用的基准案例,并推导了免费试用促进下的均衡结果。我们发现,除非消费者的学习率超过阈值,否则该平台不会从免费试用中受益。当市场对称引入免费试用时,消费者学习率越高,订阅价格越高,免费试用时间越短。此外,在加入网络效应后,平台将推出更低的订阅价格和更短的免费试用期。在市场不对称的情况下,我们的研究结果表明,平台面临着更高的消费者学习率门槛。此外,与市场对称方案相比,它将提供更高的价格和更长的免费试用期。总的来说,我们的研究为在线内容平台在考虑订阅策略时提供了有用的管理见解。
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引用次数: 0
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Journal of Theoretical and Applied Electronic Commerce Research
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