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Holding companies differ in nature from commercial companies. Adopting a specific policy towards products and services, holding companies support and control their subsidiaries. Competition and strategic planning conceptually differ in companies and ordinary commercial companies owing to the fact that no two holding companies, which provide similar products and services can be found, even at the international level. Information systems strategic planning (ISSP) is accomplished to develop an orientation toward the investment in information and communications technologies that aligns with the strategic objectives of the organization. As mentioned earlier, due to the differences between parent companies and ordinary commercial companies with single- or multi-products/services in terms of strategic planning and competition, the information systems strategic planning process in holding companies follows quite different steps. This distinguishing nature leads us to take considerations into account in ISSP steps. Applying balanced scoredcard method, this article concentrates the limited resources of investment on the processes that fulfill an essential role in accomplishing the strategic objectives of holding companies.

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One of the most fundamental economic issues for holding companies is capital allocation. Typically, investors in selecting investment alternatives follow conflicting preferences and goals simultaneously. Therefore, developing a model based on available information can help decision makers to identify the most important competitive factors and focus their attention on the improvement of performance. However, several techniques have been introduced to determine the most important components. Analytical hierarchy process (AHP), a branch of multi criteria decision making (MCDM) methods, is a powerful tool for ranking a set of elements. Nevertheless, the AHP is disable to take into account the uncertainty involved in the process of decision making. On the other hand, intuitionistic fuzzy sets (IFS) are capable of handling the vagueness and ambiguity by using the scale of the pairwise comparisons represented by the IFS. The IFS-AHP (a combination of the IFS and AHP method) can lead to more precise description of the problem under consideration since the IFS is robust in describing complexity and uncertainty. Therefore, the IFS-AHP technique has much more advantages in comparison with the conventional AHP or fuzzy AHP. To demonstrate the potential application of the proposed approach, a real case study on ranking the critical factors influencing the Investment Options in the Holding Companies is illustrated. The results show that criterion C6 (Risk) with value of 0.1451 is the most important factor in Holding Companies.