Linking business analytics affordances to corporate strategic planning and decision making outcomes

IF 2.3 4区 管理学 Q3 BUSINESS
Steffen Kurpiela, Frank Teuteberg
{"title":"Linking business analytics affordances to corporate strategic planning and decision making outcomes","authors":"Steffen Kurpiela, Frank Teuteberg","doi":"10.1007/s10257-023-00661-z","DOIUrl":null,"url":null,"abstract":"<p>Business analytics is considered in research and practice as a promising approach to support organizations in the increasing complexity and dynamics in the strategic planning and decision making, which arise for example through the integration of product-service systems. However, literature is lacking a comprehensive analysis to what extant business analytics supports the strategic planning and decision making. Thus, coming from the affordance and socio-technical system theory, we are linking business analytics affordances to strategic planning outcomes. In doing so, we identified 20 affordances which we have assigned to the dimensions of the socio-technology system theory. Based on this, we have derived implications and propositions for research and practice. The results can be used as guidelines for practice and directions for future research.</p>","PeriodicalId":13660,"journal":{"name":"Information Systems and e-Business Management","volume":"116 4","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Systems and e-Business Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1007/s10257-023-00661-z","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

Abstract

Business analytics is considered in research and practice as a promising approach to support organizations in the increasing complexity and dynamics in the strategic planning and decision making, which arise for example through the integration of product-service systems. However, literature is lacking a comprehensive analysis to what extant business analytics supports the strategic planning and decision making. Thus, coming from the affordance and socio-technical system theory, we are linking business analytics affordances to strategic planning outcomes. In doing so, we identified 20 affordances which we have assigned to the dimensions of the socio-technology system theory. Based on this, we have derived implications and propositions for research and practice. The results can be used as guidelines for practice and directions for future research.

Abstract Image

将业务分析能力与公司战略规划和决策结果联系起来
商业分析在研究和实践中被认为是一种很有前途的方法,可以支持组织在战略规划和决策中日益增加的复杂性和动态性,例如通过产品服务系统的集成。然而,文献缺乏对现有业务分析支持战略规划和决策的全面分析。因此,从功能和社会技术系统理论出发,我们将业务分析功能与战略规划结果联系起来。在这样做的过程中,我们确定了20个我们分配给社会技术系统理论维度的启示。在此基础上,我们提出了研究和实践的启示和主张。研究结果可作为实践指导和未来研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
6.20
自引率
11.10%
发文量
18
期刊介绍: Nowadays, in the age of information technology and the internet, the creation and maintenance of business models has to consider the latest developments in information technology to ensure competitiveness and long-term success of the enterprise. The aim of Information Systems Management (ISM) is to integrate information technology into business models and business processes to explore its potential to meet the business goals. Many international journals in the field of information systems (IS) or information management (IM) focus primarily on the quantitative analysis of information systems phenomena, especially through the use of empirical studies. However, research on qualitative analysis, development, and deployment of information systems is not covered sufficiently by the existing international IS journals. Therefore, the journal Information Systems and e-Business Management (ISeB) focuses on the core tasks of Information Systems Management, the conceptual analysis, design, and deployment of information systems, as well as on all e-business related topics. 1. Editorial objective The central aim of the journal ISeB is to publish original, well-written, self-contained contributions that elucidate novel research and innovation in information systems management and e-business which advance the field fundamentally and significantly. Published quarterly, the journal will: - Provide a vibrant forum for both academicians and industry specialists to explore the information systems and e-business management field - Bring innovative research on all aspects of information systems management from analytical, behavioral and technological perspectives - Enable rapid dissemination of latest research and innovation, supported with a double-blind peer review process. 2. Nature of topics The function of information systems management is the use of information technology (IT) to meet the information requirements of a company. Core tasks of ISM are the generation of project ideas (e.g. identification of business opportunities enabled by new information technologies), conceptual analysis, design, and integration of information systems. Submissions to ISeB should have a clear business focus and use appropriate information systems methodologies. They should either be founded on theory or should have proven their value based on prototypes and their beneficial application in the field. The general applicability of the concepts presented is strictly required. Case studies are welcome, if the insights presented allow general applicability. Moreover, empirical studies are welcome if clear research questions with relevance to the field of information systems and e-business management are given and the studies are carried out correctly. ISeB topics focus on (but are not restricted to) the following areas: - Information Modeling: The central task of information systems modeling is the conceptual specification of information systems from the business point of view. Information modeling includes the development or the application of high-level modeling techniques used for conceptual modeling, e.g. event-driven process chain (EPC) for process modeling, entity-relationship model (ERM) for data modeling, and object-oriented methods like the unified modeling language (UML). - Domain-Specific Information Systems: Different industry domains (e.g. manufacturing, retailing, or finance) are characterized by different requirements to information systems that are reflected in different IS architectures for specific domains. The development and maintenance of information systems in an industry domain can be supported by these architectures. Either the development of generalizable domain-specific architectures or the employment of such architectures in practice can be discussed. - E-Business Management (intra-organization al and inter-organizational information systems): Possible sub-topics include the development and deployment of IS for electronic commerce and supply chain management, market places, new business scenarios enabled through new technologies. Based on a business strategy, submissions have to clearly state how the strategy can be operationalized using IS. - Information Systems Development: The development and deployment of large-scale IS (e.g. enterprise resource planning software) requires the use of appropriate software engineering methodologies, procedure models, and project management. Possible research areas are the development of software engineering methodologies, procedure models, and the design of project management methods. Empirical studies on IS development may focus on the application of well-founded methods in practice. - Information Technology Management: The function of information technology management is the provision and operation of the technical infrastructure and the planning of the technical orientation of information systems in an enterprise. An important aspect is the impact of changing information systems on organizational structures and processes – and vice versa. In this context, the use of information technology to realize a business strategy efficiently can be analyzed. - Latest Information Technology Developments: Latest developments in information technology have to be evaluated to explore potentials to generate new business strategies. Current topics and trends to be evaluated for business use are e.g. business intelligence systems, agent technology, and workflow management systems. Officially cited as: Inf Syst E-Bus Manage
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信