已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Knowledge management, organisational learning and memory in UK retail network planning

复杂度 隐性知识 知识管理 营销 产品(数学) 直觉 业务 计算机科学 社会学 心理学 几何学 数学 社会科学 认知科学
作者
Steve Wood,Jonathan Reynolds
出处
期刊:Service Industries Journal [Taylor & Francis]
卷期号:33 (2): 150-170 被引量:38
标识
DOI:10.1080/02642069.2011.614340
摘要

Abstract The forecasting of sales from potential store development opportunities is typically supported by quantitative modelling techniques, which vary in their sophistication and practical application between retail firms. While previous research suggests analysts reach outcomes by blending modelled knowledge with intuition and experience, how this occurs in practice is only partially understood. By adopting a qualitative methodology, involving interviews with experts, this paper makes an incremental contribution to the literature by detailing how tacit knowledge is synthesised with modelled, codified knowledge to affect the decision making of senior management in UK-based retail firms. Analysis can also extend to post-opening reviews that offer the opportunity to improve local marketing and product ranging, and from which key lessons can be drawn for subsequent forecasting. Efforts are made by many large retailers to retain expertise and develop institutional 'memory' by codifying tacit knowledge, though these processes often rely upon the expertise embedded within broader intra- and extra- firm social networks. Success, therefore, appears to comprise structured, but flexible forecasting routines alongside a focus on learning, continuity and communication within analyst teams. Keywords: sales forecastingexpert knowledgequantitative modelingretail site selection Acknowledgements This work is supported by the Nuffield Foundation (Grant No: SGS/36175). We would also like to thank the SLA for their support of this project and for helping us in gaining access to numerous location-planning departments of retailers. We appreciate the helpful feedback both from the editor and referees on earlier drafts of the manuscript. Notes For example, these may include the visibility of a site from a main road, the role of perceptions of store accessibility and trade barriers (including effects of bridged rivers and motorways dividing a catchment).
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
甜蜜的大象完成签到 ,获得积分10
刚刚
张十三完成签到,获得积分20
1秒前
叶成帷发布了新的文献求助10
1秒前
搜集达人的应助被王全采纳,获得10
1秒前
1秒前
FF发布了新的文献求助10
2秒前
sisifu发布了新的文献求助10
2秒前
2秒前
3秒前
科研通AI6.4的应助被流云君采纳,获得10
3秒前
fang发布了新的文献求助10
4秒前
4秒前
aajhajkahna的应助被alangq采纳,获得10
4秒前
5秒前
5秒前
Dara发布了新的文献求助10
5秒前
7秒前
酷波er的应助被FF采纳,获得10
7秒前
pluto的应助被小土豆海洛丝白采纳,获得50
7秒前
7秒前
8秒前
8秒前
谨慎流沙发布了新的文献求助10
8秒前
Frida发布了新的文献求助30
9秒前
种喜欢的花完成签到 ,获得积分10
10秒前
岳莹晓完成签到 ,获得积分10
12秒前
12秒前
QAQ完成签到 ,获得积分10
12秒前
饱满冰安发布了新的文献求助10
13秒前
SciGPT的应助被小杏韵采纳,获得10
13秒前
烟花的应助被mcy采纳,获得10
15秒前
芋泥丸丸发布了新的文献求助10
15秒前
赘婿的应助被Dara采纳,获得10
15秒前
ding的应助被Frida采纳,获得10
15秒前
15秒前
夏至完成签到,获得积分10
16秒前
17秒前
脑洞疼的应助被Oguri_Cap采纳,获得10
17秒前
小甘看世界完成签到,获得积分0
17秒前
尼可刹米洛贝林完成签到,获得积分10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Roman Family in Italy: Status, Sentiment, Space 2000
Aspects of Post-SPE Phonology 2000
Recombinant human Type III collagen with native-like assembly and real biomaterial performance 1000
CLSI VET01S Ed7 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals 1000
Performance standards for antimicrobial disk and dilution susceptibility tests for bacteria isolated from animals 888
Rosenblum, Global Change Biology 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 物理 有机化学 化学工程 内科学 生物化学 复合材料 催化作用 心理学 细胞生物学 无机化学 电极 光电子学 人工智能
热门帖子
关注 科研通微信公众号,转发送积分 7871825
求助须知:如何正确求助?哪些是违规求助? 9388223
关于积分的说明 20767666
捐赠科研通 7473051
什么是DOI,文献DOI怎么找? 3351044
关于科研通互助平台的介绍 2491959
邀请新用户注册赠送积分活动 2377918