شیوه های مدیریت ریسک استراتژیک
ترجمه نشده

شیوه های مدیریت ریسک استراتژیک

عنوان فارسی مقاله: تأثیر شیوه های مدیریت ریسک استراتژیک و عملیاتی بر عملکرد شرکت: یک تحقیق تجربی
عنوان انگلیسی مقاله: Impact of strategic and operational risk management practices on firm performance: An empirical investigation
مجله/کنفرانس: مجله مدیریت اروپا – European Management Journal
رشته های تحصیلی مرتبط: مدیریت
گرایش های تحصیلی مرتبط: مهندسی مالی و ریسک، مدیریت استراتژیک، مدیریت کسب و کار
کلمات کلیدی فارسی: زنجیره تامین جهانی، استراتژی، شیوه های اکتشاف، شیوه های بهره برداری، مدیریت ریسک شبکه، عملکرد مالی شرکت
کلمات کلیدی انگلیسی: Global Supply Chain; Strategy; Exploration practices; Exploitation practices; Network Risk Management; Firm Financial Performance
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.emj.2020.03.003
دانشگاه: Department of Management and Marketing, Franklin P. Perdue School of Business. Salisbury University, MD, 21801, USA
صفحات مقاله انگلیسی: 47
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2020
ایمپکت فاکتور: 4.041 در سال 2019
شاخص H_index: 89 در سال 2020
شاخص SJR: 1.173 در سال 2019
شناسه ISSN: ۰۲۶۳-۲۳۷۳
شاخص Quartile (چارک): Q1 در سال 2019
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: بله
آیا این مقاله مدل مفهومی دارد: دارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: دارد
کد محصول: E14617
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست مطالب (انگلیسی)

Abstract

۱٫ Introduction

۲٫ Literature review

۳٫ Research model and hypotheses development

۴٫ Methodology

۵٫ Analysis of results

۶٫ Discussion of the findings

۷٫ Conclusion: implications and limitations

Appendix A. Supplementary data

Appendix A. Survey Instrument

Uncited references

Research Data

References

بخشی از مقاله (انگلیسی)

Abstract

Increasingly, creating and delivering value through complex supply chain networks involves substantial risks. However, strategy development under business risk conditions is not wellunderstood. This cross-country research examines how, under conditions of supply chain network risk, firms develop effective risk management practices. Using a literature review and survey research of managers from global firms; we present a research model, and empirically test the hypothesized relationships. The results show that under conditions of uncertainty, management decision-making is more likely to be cautious until visible forms of risks emerge, and prudent response mechanisms are put in place. This study identifies the crucial role of supply chain exploration and exploitation practices, and their influence in development of network risk management practices, leading to competitive financial outcomes.

Introduction

As firms expand their operations globally, they have to sustain their market successes despite supply chain risks. Complex global supply chain networks increase the possibility of a negative impact of potential supply chain disruptions on firm performance. Of particular concern is the role played by suppliers and how small failures at their end may magnify supply chain risk factors for the buyer firm (Kim, Wagner, & Colicchia, 2019; MacKenzie, Barker, & Santos, 2014). Although assuring a total risk-free supply chain is almost impossible, organizations still can develop a resilient supply chain network that recovers from shocks faster than competitors (Brandon-Jones, Squire, Autry, & Petersen, 2014; Hohenstein, Feisel, Hartmann, & Giunipero, 2015). Therefore, in recent years researchers have increasingly paid attention to how firms can develop supply chain risk resilience (Eckerd & Girth, 2017; Singh & Singh, 2019). In focus particularly has been the role of senior management in identifying risks in advance, and implementing the right responses at both firm and network levels (Wieland, 2013). However, despite vigorous research in risk management, much still remains unclear about how firms identify potential supply chain risk events, and consequently develop effective response mechanisms (Kilubi, 2016; Kurniawan, Zailani, Iranmanesh, & Rajagopal, 2017).