{"title":"并购后背景下支持信息系统集成决策","authors":"Ksenija Lāce","doi":"10.7250/csimq.2023-34.02","DOIUrl":null,"url":null,"abstract":"Consolidation of organizations and assets through Mergers and Acquisitions (M&A) is one of the strategies for organizational growth. However, despite the big popularity, the results of M&A initiatives are questionable. The main idea behind M&A is to create a new organization by combining several existing organizations. This new organization is created through a transformation process often called a post-merger. A significant part of the post-merger process is the integration of information systems. The success of post-merger information systems integration is the result of successful integration decisions. This study focuses on the problem of how a novice organization in post-merger initiatives can handle complexity in the decision-making process of post-merger information systems integration with its internal resources, without involvement of an external expertise, but with a support method to compensate the lack of expertise for informed decision-making. The extended decision-making process can be divided into three phases – identification of necessary decisions, decision-making, and decision implementation. This study focuses on the first two phases. For each of the phases, a specialized sub-method was developed, focused, respectively, on the identification of necessary decisions (AMILI) and decision-making as a choice between possible integration options (AMILP). Supporting tools were also developed for each of the sub-methods.","PeriodicalId":416219,"journal":{"name":"Complex Syst. Informatics Model. Q.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Supporting Information System Integration Decisions in the Post-Merger Context\",\"authors\":\"Ksenija Lāce\",\"doi\":\"10.7250/csimq.2023-34.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Consolidation of organizations and assets through Mergers and Acquisitions (M&A) is one of the strategies for organizational growth. However, despite the big popularity, the results of M&A initiatives are questionable. The main idea behind M&A is to create a new organization by combining several existing organizations. This new organization is created through a transformation process often called a post-merger. A significant part of the post-merger process is the integration of information systems. The success of post-merger information systems integration is the result of successful integration decisions. This study focuses on the problem of how a novice organization in post-merger initiatives can handle complexity in the decision-making process of post-merger information systems integration with its internal resources, without involvement of an external expertise, but with a support method to compensate the lack of expertise for informed decision-making. The extended decision-making process can be divided into three phases – identification of necessary decisions, decision-making, and decision implementation. This study focuses on the first two phases. For each of the phases, a specialized sub-method was developed, focused, respectively, on the identification of necessary decisions (AMILI) and decision-making as a choice between possible integration options (AMILP). Supporting tools were also developed for each of the sub-methods.\",\"PeriodicalId\":416219,\"journal\":{\"name\":\"Complex Syst. Informatics Model. Q.\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Complex Syst. Informatics Model. Q.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7250/csimq.2023-34.02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Complex Syst. Informatics Model. Q.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7250/csimq.2023-34.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Supporting Information System Integration Decisions in the Post-Merger Context
Consolidation of organizations and assets through Mergers and Acquisitions (M&A) is one of the strategies for organizational growth. However, despite the big popularity, the results of M&A initiatives are questionable. The main idea behind M&A is to create a new organization by combining several existing organizations. This new organization is created through a transformation process often called a post-merger. A significant part of the post-merger process is the integration of information systems. The success of post-merger information systems integration is the result of successful integration decisions. This study focuses on the problem of how a novice organization in post-merger initiatives can handle complexity in the decision-making process of post-merger information systems integration with its internal resources, without involvement of an external expertise, but with a support method to compensate the lack of expertise for informed decision-making. The extended decision-making process can be divided into three phases – identification of necessary decisions, decision-making, and decision implementation. This study focuses on the first two phases. For each of the phases, a specialized sub-method was developed, focused, respectively, on the identification of necessary decisions (AMILI) and decision-making as a choice between possible integration options (AMILP). Supporting tools were also developed for each of the sub-methods.