Prime Minister Narendra Modi Independence day speech on 2014 throw the ball for ‘Make in India’ with ‘zero defect zero effect’ strategy and he said that Environment-conscious companies welcomed to this move, It is giving a clear message to the society that India needs to manufacture quality products with zero effect on the environment because Global opportunities are knocking the Indian economy doors.

Purpose Marketing is all about understanding your consumers and giving them what they want. However, this process becomes more complicated in times of economic crisis and national slowdown. Consumers can become scattered and unpredictable in their behaviour, making it hard to understand what they want or need. At times like these, it is more important than ever to rely on qualitative market research to understand the views of consumers and managers. Thus, this study aims to look at the significant consumer challenges that arise during times of crisis and the marketing strategies that managers prefer to counter the crisis. Design/methodology/approach The data collected for this study involves an extensive literature review followed by personal interviews with industry experts. This study presents two separate models, indicating hierarchical relationships among consumer challenges during crisis and marketing strategies using the total interpretive structural modelling approach. Further MICMAC analysis (popularly known as cross-impact matrix multiplication) was also performed to assess each variable's driving and dependence power. Findings “Price sensitiveness” and “adaptive buying” result as driving factors with the highest driving and lowest dependence power, which further gives rise to other consumer behaviour challenges. Likewise, the most critical strategies are “information systems” and the formation of “crisis management teams” during a crisis. At the same time, other strategies have resulted as linkage and dependent factors and none as the autonomous factor. Originality/value This paper provides a systematic understanding of how a manager can understand the challenges consumers face during a crisis and suggests a powerful summary of strategies companies can implement to sail through a crisis.

In recent years, there has been a tremendous leap in the usage of data in its different forms. Big data has grown exponentially and so have the tools that enable culling out meaningful data that have the potential to transform business establishments. Tools that make use of big data like Cloud Computing, Data Warehousing, Dashboards and Mobile Apps have found application in several fields including healthcare. These applications provide real-time data to aid business establishments in making timely decisions. However, data need to be presented in an appropriate format like ones shown in the balanced scorecard (BSC) which has undergone a number of refinements since the 1990s. Since the BSC includes the provision of both financial and non-financial key performance indicators (KPI), it serves the long-term interests of an organisation. The efficacy and profitability of the BSC can be scaled up with the aid of data analytics which provides all inputs for a decision support system. This article explores the various possibilities of using data analytics in providing and updating meaningful inputs to each of the perspectives of the BSC to enhance healthcare delivery.

Sugar Beet is one of the essential sources of energy. However, most of the division in Iran supply sugar beet through domestic production. The present study is going to investigate the causal relationship between sugar beet supply and sugar price in Iran between the year 1995 to 2016. By  Applying the Johansen-Juselius cointegration method along with Granger causality test. Besides,  this research going to analyse the causal relationship between sugar beet supply and sugar price by considering the sustainability issues and opportunities. However, The result of the Johansen-Juselius cointegration test shows that there is a positive long-term co-integration relationship between variables. Although  According to the GC test, there is a causal relationship between sugar beet supply and sugar price. Also result of the vector error correction model represents that sugar price has a significant impact on sugar beet supply which indicates that every increase and decrease in sugar price reflect on sugar beet production. Therefore, the necessity of an appropriate policy-making and proper planning for sugar beet production has been bolded.

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