The Company's CEOs are always obsessed with diversification since the early 1960s and this belief is continuing to date. Diversified corporations run multiple businesses to generate various opportunities to gain competitive advantages and differentiate themselves in the market. This study considered the business strategy of business units (BUs) for diversified corporations. Based on the dominating strategy pursued by BUs, this study tried to investigate the level of collaboration between the BUs when these BUs have a similar strategy or different strategy. Thus, this article aims to examine the level of collaboration or coordination between BUs in Indian diversified companies. A survey was carried out with 107 companies for examination and these companies were chosen to be of different sizes and sectors. The findings represent that the level of collaboration is high when the BUs have a similar kind of business strategy while the level of collaboration is low when they have different kinds of business strategies. These findings are useful for the current organizations to seek collaboration between BUs in the diversified corporation.

The purpose of this paper is to declare an immunization strategy for epidemic spreading based on membership (m) of a node among various communities over a multilayer network. The past few years have seen exponential growth in the understanding and research in modern complex networks field. The mapping of real‐world social interactions to complex networks has opened a new pathway for innovation and research. The real‐world interactions among people take place in various circumstances, and thus, a complex network imitates these interactions using various layers. The events and its information in a real world are incorporated in multiple layers in a network that otherwise are lost due to layer aggregation. The form of interaction captured in a multilayer network can have effects of spreading of a process such as an epidemic. The findings explain the highest membership nodes in one layer, immunizing it and observing the propagation of the epidemic through the layers based on a fraction of overlapped nodes in the network that transmit the disease to various layers. Further, this research paper tried to measure the efficiency of the immunization strategy for epidemic spreading based on membership metric when applied on a multilayer network and henceforth apply them to prevent spreading of the rumor/disease. In this manner, the strategy is more productive to secure the people of the entire system.