Deepika Jindal, Chandan Jee and Rajiv R. Thakur
This paper aims to study Nissan's “go‐global” strategy. It aims to understand the various imperatives that a company needs to operate at multiple locations, how it chooses among…
Abstract
Purpose
This paper aims to study Nissan's “go‐global” strategy. It aims to understand the various imperatives that a company needs to operate at multiple locations, how it chooses among various locations and how it goes about implementing the expansion plan considering a specific case of Nissan.
Design/methodology/approach
Based on primarily secondary research i.e. literature review, news articles and official disclosure by Nissan etc.
Findings
After the analysis, it has been found that company has not used same policy across all the countries. The strategy adopted in each country is driven by the external environment as well as customer requirement. However, on the whole, company primarily believes in having a local partner and direct technology transfer.
Research limitations/implications
Being a secondary research based paper, the authenticity is subject to the source from which it has been obtained
Practical implications
This paper helps to understand the real time strategy implemented by Nissan to make global mark. This paper deals specifically with emerging markets reiterating the importance of the same. It can act as guideline to understand the factors to be considered while deciding to go global. In addition to that, it recommends the likely future strategy that Nissan can implement in sync with its existing strategy.
Originality/value:
This article would act as a guide to understand the key factor influencing the strategies and understand various dos and don'ts of going global.
Details
Keywords
This article aims to review the latest management developments across the globe and pinpoint practical implications from cutting‐edge research and case studies.
Abstract
Purpose
This article aims to review the latest management developments across the globe and pinpoint practical implications from cutting‐edge research and case studies.
Design/methodology/approach
The briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.
Findings
The last two decades have seen the motor industry faced with issues which are both cause for concern and ripe for exploitation. Increasing globalization and heightened competition have led car manufacturers to seek new markets, such as those in the emerging economies of the BRIC (Brazil, Russia, India and China) nations.
Practical implications
The article provides strategic insights and practical thinking that have influenced some of the world's leading organizations.
Originality/value
The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy‐to‐digest format.
Details
Keywords
Anam and M. Israrul Haque
The rapid increase in analytics is playing an essential role in enlarging various practices related to the health sector. Big Data Analytics (BDA) provides multiple tools to…
Abstract
The rapid increase in analytics is playing an essential role in enlarging various practices related to the health sector. Big Data Analytics (BDA) provides multiple tools to store, maintain, and analyze large sets of data provided by different systems of health. It is essential to manage and analyze these data to get meaningful information. Pharmaceutical companies are accumulating their data in the medical databases, whereas the payers are digitalizing the records of patients. Biomedical research generates a significant amount of data. There has been a continuous improvement in the health sector for past decades. They have become more advanced by recording the patient’s data on the Internet of Things devices, Electronic Health Records efficiently. BD is undoubtedly going to enhance the productivity and performance of organizations in various fields. Still, there are several challenges associated with BD, such as storing, capturing, and analyzing data, and their subsequent application to a practical health sector.