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Predicting Earnings Manipulation By Indian Firms Using Machine Learning Algorithms Case VRIO Analysis

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Predicting Earnings Manipulation By Indian Firms Using Machine Learning Algorithms Case Study Help

Several areas can be determined where FG has an one-upmanship over its competitors. These locations would certainly be evaluated utilizing the Predicting Earnings Manipulation By Indian Firms Using Machine Learning Algorithms VIRO structure where the 'value', 'inimitability', 'rarity' and also company' of FG would be assessed in regards to its payment towards its one-upmanship. The structure has been shown in appendix 3.

It can be seen that FG is supplying a value-added product, which is not just a method of acquiring high margins for business, however is important for the client also. Smoked fish and shellfish items are looked upon as value-added items and so FG is absolutely supplying worth to the market and also to the business owner in the type of high conserving potential from fish items. Furthermore, FG's ability to produce initial Asian passionate smoked fish and shellfish products can be considered an unmatched skill.

The business has put obstacles to entrance for new participants by urging clients to be requiring in terms of requesting their preferences. Not only has this made the solution uncommon, it has actually raised the cost of access for particular niche gamers because FG's diversification and adaptability can not be matched by new participants in the brief run. This highlights another point of inimitability.

The fact that business is not product-orientated yet is a market-orientated organisation which is adaptable sufficient in its capability to adapt to vibrant market scenarios suggests that its way of arranging services is certainly its competitive edge. The organisation is arranged so that it has much less reliance on importers and also trading companies which includes to its competitive side as an organization in a market where smoked fish products have actually to be imported from various other countries.

In addition to these factors, FG's long-term relationships with its consumer that has actually resulted in brand name commitment from their side as well as the former's continuous reinforcement of quality assurance to keep this brandloyalty is an additional factor giving it an one-upmanship.

As per the Predicting Earnings Manipulation By Indian Firms Using Machine Learning Algorithms VIRO structure, if a company's sources are valuable however can be mimicked conveniently, it may have a temporary competitive benefit. In FG's case, it can be seen exactly how a sustained competitive advantage is possible through the firm's adaptability, market-orientated technique, endured long-termrelationships and ingenious abilities of the business owner.