Open Eng. 2017; 7:26–30
Research Article Open Access
Rudolf Kampf, Lenka Ližbetinovaacute;*, and Kamila Tiscaron;lerovaacute;
Management of Customer Service in Terms of Logistics Information Systems
DOI 10.1515/eng-2017-0006
Received June 24, 2016; accepted July 29, 2016
Abstract: This paper is focused on perceiving the logistic services as the competition advantage in frame of the e- commerce. Customers consider their purchases in its com- plexity and all the logistic services should be designed to meet with customersrsquo; preferences as much as possible. Our aim was to identify and evaluate of customers perceiving in frame of sales proposals offered by e-shops. Collected data of research were processed with the usage of clus- ter analysis. The aim of this paper is to present the results and conclusions from this research with focus on the ele- ments of logistics services within e-commerce. These out- puts can be used for knowledge base of information sys- tems through which enterprises evaluate their decisions and selection of variants. For the enterprise, it is important to appropriate decisions about resource allocation and de- sign of the structure of logistics services were set based on real customer preferences.
Keywords: e-commerce, preference of customers, logis- tics, knowledge base, logistics information systems
1 Introduction
Customer logistics service is not an idea of these days. More than 50 years, it has been defined as a research is- sue and it is under development, since that time. It may mean different views for various organizations. Great em- phasis in one organization may be placed on availability
Rudolf Kampf: The Institute of Technology and Business in Českeacute; Budějovice, Department of Transport and Logistics, Okružniacute; 517/10, 370 01 Českeacute; Budějovice, Czech Republic, E-mail: kampf@mail.vstecb.cz
*Corresponding Author: Lenka Ližbetinovaacute;: University of Eco- nomics and Management, Department of Marketing, Naacute;rožniacute; 2600/2a, 158 00 Praha 5, Czech Republic, E-mail: lizbetinova@mail.vstecb.cz
Kamila Tiscaron;lerovaacute;: University of Economics and Management, De- partment of Marketing, Naacute;rožniacute; 2600/2a, 158 00 Praha 5, Czech Republic, E-mail: kamila.tislerova@vsem.cz
copy; 2017 Rudolf Kampf et al., published by De Gruyter Open.
of a product at the time, at the place and in the quan- tities desired [1]. In another enterprise, it may be desir- able to preserve the relative freedom in timing and in a way of processing customer orders [2]. At other cases and in other organizations, management concentrates on im- proving the condition of goods delivered to customers. Fi- nally, the speed and dependability are the most important parameters in many logistics systems, i.e. the primary con- cern is to give to available items ordered to customers [3– 5].
Customer satisfaction, service quality and relation- ship management [6] are among measures of success in dealing with the customer point of view. To achieve these, organizations must engage in practices that provide supe- rior value [7] and services to their customers than the other competing organizations or channels provides, thus the level of customer satisfaction improves [8–10].
The information can be a 'good' or 'phenomenal' and without them, the proper operating of the enterprise is not possible. In the era of todayrsquo;s solutions for the acquisi- tion and transmission of information, information systems have an increasingly important role in the enterprisersquo;s pro- cesses realization [11].
Because of the increase in volume and complexity e- commerce, information systems are the only way to accu- rately manage the product flow towards the customer [12]. Logistics information systems are an essential precon- dition for the effective operating logistics of enterprise [13]. Without the interactive transmission of current informa- tion, logistics flows could not be adequately secured [14, 15]. For decision-making and choice of variants [16, 17] in logistics, not only input data obtained from the evidence and analysis of the business have an important role, but also data of Knowledge Base are needed with intuition and experience of their users [18]. Within sales logistics in terms of orders processing via e-shop, we often encounter with conflicting solutions [19] how to meet customer ex- pectations as much as possible without unnecessarily ex-
We will be able to optimize the selection of alterna- tives when making decisions if we have knowledge about the preferences of customers in these decisions, [22–25].
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
anagement of Customer Service in Terms of Logistics Information Systems — 27
Buying through e-shop is associated with increased risk of customer dissatisfaction with the delivered goods and the necessity of its replacement or refund. Thatrsquo;s why, for en- terprises, it is effective to monitor and reduce risk of target segment [26]. Better understanding of the customers based on precisions of segmentation is necessary [27, 物流信息系统中客户服务的管理
筛选问题的方法是,确认受访者对于电子商店的购物情况,要求受访者至少每年花费4,000捷克克朗在网上商店购物。受访者也将选择他们更喜欢的购物类型:
- 普通商品(书籍,音乐产品,价格低于5000克朗,顾客通常清楚自己想要购买什么),
- 可配置购买的产品(根据客户要求配置电脑或其他可以指定所需特性的组件产品)。
电子调查问卷是根据标准,特别分发的。表1显示了调查对象的结构。
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表2:选定属性的最终群集中心
属性的偏好 |
组别 |
|||
(偏好等级1- 5,其中1为最低等级) |
1 |
2 |
3 |
4 |
1.通过快递送货的可能性 |
4.2 |
5.0 |
4.0 |
3.6 |
2.捷克邮政递送的可能性 |
3.9 |
3.6 |
3.5 |
3.9 |
3.个人取件的可能性 |
4.0 |
2.7 |
3.7 |
3.0 |
4.直接送货上门的可能性 |
4.1 |
2.3 |
3.4 |
2.7 |
5.转移支付的可能性 |
4.1 |
2.0 |
2.0 |
3.4 |
6.可以通过信用卡在线支付 |
4.1 |
3.3 |
1.5 |
3.0 |
7.专业系统支付的可能性 - 例如PayPal |
3.1 |
4.0 |
1.3 |
2.3 |
8.货到付款的可能性 - 货到付款。 |
4.6 |
4.6 |
4.8 |
4.0 |
9.客户对交货时间的看重程度 |
4.6 |
4.5 |
4.5 |
4.0 |
10.关于确切交货日期信息的看重程度 |
4.6 |
3.7 |
4.5 |
4.0 |
11.是否希望快递配送信息提前1天(通过电子邮件,短信)告知? |
4.6 |
2.3 |
4.7 |
3.7 |
12.是否希望订单中交货日期准确无误? |
4.2 |
1.2 |
3.9 |
3.1 |
13.是否看重交货时间的准确无误?(准确度为2小时以内) |
4.1 |
1.9 |
4.0 |
3.0 |
14.客户如何看待快速交货(天数) |
1.8 |
7.5 |
1.9 |
2.1 |
15. 如果不遵守规定的交货时间,对客户另一次购买的阻碍有多大? |
4.0 |
4.5 |
4.1 |
3.5 |
16.对信用卡滥用的风险认识 |
3.6 |
3.2 |
4.2 |
3.2 |
17.未能交付正确货物的风险认知 |
3.7 |
2.2 |
4.0 |
3.3 |
18.对潜在投诉中并发情况的风险认识 |
3.9 |
2.8 |
4.2 |
3.6 |
19.对欺诈性电子商店的风险认知 |
3.4 |
3.7 |
4.2 |
3.1 |
每个组中的个案数量 |
221 |
11 |
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