概念化
构造(python库)
多样性(控制论)
频道(广播)
计算机科学
度量(数据仓库)
复杂性理论与组织
复杂性管理
概念模型
规范性
知识管理
数据科学
业务
营销
数据挖掘
人工智能
电信
组织学习
政治学
数据库
程序设计语言
法学
作者
Nermin Eyuboglu,Sertan Kabadayi,Andreas Buja
标识
DOI:10.1016/j.indmarman.2017.03.010
摘要
Nowadays, to better serve their customers, many companies are using multiple channels with different levels of complexity. Although the literature agrees that it is a challenge to design and manage multiple channels for improved performance in today's circumstances, there are no empirically determined guidelines offered to achieve that goal. One contributing factor to this is the lack of a clear conceptualization of multiple channel complexity in the literature. With no such construct and measure, researchers are unable to conduct studies to understand variability in the complexity of multiple channels in practice and hence to draw normative conclusions for managers. In this work, drawing upon the vast organizational complexity literature, we provide a conceptual definition and a measure of multiple channel complexity. Our construct describes the structure of a multiple channel system with respect to three complexity dimensions: channel number; channel levels, and channel member variety. The data from 305 sales/marketing managers in the electronics industry support the validity of the construct as we observe that in highly uncertain environments having highly complex multiple channels in place improves company performance.
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