International Grocery Retailers' Country Environment, Resources and Local Performance. A Cross-classified Multi-level Approach

Bernhard Swoboda, Lukas Morbe
{"title":"International Grocery Retailers' Country Environment, Resources and Local Performance. A Cross-classified Multi-level Approach","authors":"Bernhard Swoboda, Lukas Morbe","doi":"10.15358/0344-1369-2019-1-4","DOIUrl":null,"url":null,"abstract":"This study aims to shed light on the often-neglected effects of host country environments on firms’ local performance. We chose this topic, because host country environment is known to affect firms’ internationalization decisions (e. g., market selection or entry mode choice) while it is rarely regarded as an antecedent of local performance after a market entry. Still, country environments are expected to have substantial performance implications by international business scholars, while we know from national research that local performance is attributed to the local environment, especially in the retail industry. We hence aim to contribute to international retailing research by conceptualizing and testing such effects across nations. Because retail firms’ resources may help to overcome environmental dependencies, such resources are conceptualized as moderators of the effects of the host country environment on local performance. We thus make a second contribution by providing novel insights on the context specificity of resources. We chose the grocery retailing industry to analyze these topics for several reasons. First, grocery retailing is an important industry (e. g., market volumes of 770 billion USD in the US, 680 in China, or 280 in Germany) which is highly sensitive to host country environments. Furthermore, in this industry different levels of the environment need to be differentiated: country-level environment specific to all firms and store format-level environment specific to store formats like hypermarkets vs. discounters. We thus consider three levels of analysis: store-formats, countries and firms. We apply cross-classified multi-level modeling, which allows us to treat the complex data structure appropriately and has rarely been used in business literature so far. A Bayesian estimation is used. We thus make a methodological contribution to literature, by showing a way to treat such data structures appropriately. The results show that purchasing power and rule of law (country level) enhance local performance, whereas local intra-format competition (format level) diminishes it. Important resources in retailing (firm level) do not affect local performance directly but the results support a context-specificity of resources, i. e., a moderation role of the environment-local performance links. In particular, country level effects are moderated by retailers’ degree of internationalization, while surprising interactions occur of the format level environment. We provide important insights for managers and applicate the novel cross-classified multi-level approach that accounts for increasing complexities in data structures in international business research.","PeriodicalId":446283,"journal":{"name":"Marketing ZFP","volume":"83 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marketing ZFP","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15358/0344-1369-2019-1-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This study aims to shed light on the often-neglected effects of host country environments on firms’ local performance. We chose this topic, because host country environment is known to affect firms’ internationalization decisions (e. g., market selection or entry mode choice) while it is rarely regarded as an antecedent of local performance after a market entry. Still, country environments are expected to have substantial performance implications by international business scholars, while we know from national research that local performance is attributed to the local environment, especially in the retail industry. We hence aim to contribute to international retailing research by conceptualizing and testing such effects across nations. Because retail firms’ resources may help to overcome environmental dependencies, such resources are conceptualized as moderators of the effects of the host country environment on local performance. We thus make a second contribution by providing novel insights on the context specificity of resources. We chose the grocery retailing industry to analyze these topics for several reasons. First, grocery retailing is an important industry (e. g., market volumes of 770 billion USD in the US, 680 in China, or 280 in Germany) which is highly sensitive to host country environments. Furthermore, in this industry different levels of the environment need to be differentiated: country-level environment specific to all firms and store format-level environment specific to store formats like hypermarkets vs. discounters. We thus consider three levels of analysis: store-formats, countries and firms. We apply cross-classified multi-level modeling, which allows us to treat the complex data structure appropriately and has rarely been used in business literature so far. A Bayesian estimation is used. We thus make a methodological contribution to literature, by showing a way to treat such data structures appropriately. The results show that purchasing power and rule of law (country level) enhance local performance, whereas local intra-format competition (format level) diminishes it. Important resources in retailing (firm level) do not affect local performance directly but the results support a context-specificity of resources, i. e., a moderation role of the environment-local performance links. In particular, country level effects are moderated by retailers’ degree of internationalization, while surprising interactions occur of the format level environment. We provide important insights for managers and applicate the novel cross-classified multi-level approach that accounts for increasing complexities in data structures in international business research.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
国际杂货零售商的国家环境、资源和当地绩效。一个交叉分类的多层次方法
本研究旨在揭示东道国环境对企业当地绩效的影响,而这种影响往往被忽视。我们之所以选择这个主题,是因为众所周知,东道国环境会影响企业的国际化决策(例如,市场选择或进入模式选择),而很少有人将其视为进入市场后当地业绩的先决条件。尽管如此,国际商业学者预计国家环境会对绩效产生重大影响,而我们从国家研究中得知,当地绩效归因于当地环境,特别是在零售业中。因此,我们的目标是通过概念化和测试这种跨国家的影响,为国际零售业研究做出贡献。由于零售公司的资源可能有助于克服对环境的依赖,因此这些资源被概念化为东道国环境对当地绩效影响的调节因子。因此,我们通过提供关于资源的上下文特异性的新见解做出了第二个贡献。我们选择杂货零售业来分析这些主题有几个原因。首先,杂货零售业是一个重要的行业(例如,美国的市场规模为7700亿美元,中国为680亿美元,德国为280亿美元),对东道国环境高度敏感。此外,在这个行业中,需要区分不同层次的环境:针对所有公司的国家级环境和针对大型超市与折扣店等商店形式的存储格式级别的环境。因此,我们考虑三个层次的分析:商店形式、国家和公司。我们采用了交叉分类的多层次建模,这使我们能够适当地处理复杂的数据结构,迄今为止在商业文献中很少使用。使用贝叶斯估计。因此,我们通过展示一种适当处理此类数据结构的方法,为文献做出了方法论上的贡献。结果表明,购买力和法治(国家层面)提高了本地绩效,而本地格式内竞争(格式层面)则削弱了本地绩效。零售业中的重要资源(企业层面)并不直接影响本地绩效,但结果支持资源的情境特异性,即环境-本地绩效联系的调节作用。特别是,国家层面的影响受到零售商国际化程度的调节,而令人惊讶的相互作用则发生在形式层面的环境中。我们为管理者提供了重要的见解,并应用了新的交叉分类多层次方法,该方法可以解释国际商业研究中数据结构日益复杂的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
How Online Trust and Online Brand Equity Translate Online- and Omni-Channel-Specific Instruments into Repurchase Intentions Multi-Channel Management and Design: An Analysis of their Impact on Multi-Channel Conflict and Success Do Sustainability Labels Reinforce Health Claims - And Vice Versa? The Impact of Bodily Behaviors of Sales Representatives on Charisma Evaluations by Consumers: A Time-Series Perspective Drivers of Corporate Reputation and Its Differential Impact on Customer Loyalty
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1