Business-Information Systems Professional Differences: Bridging the Business Rule Gap

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
D. Hale, S. Sharpe, J. Hale
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引用次数: 12

Abstract

Group differences have often been cited between information system professionals and junctional-business professionals. Now perspectives of what constitutes business rules must be added to the list of group differences. In many organizations,junctional business professionals and information systems professionals disagree as to what constitutes a business rule. Functional personnel express business rules in terms of how business processes are defined and constrained. Alternatively, information system professionals view business rules in terms of the constraints that the rules place on manipulating the organization's data resources. Each of these perspectives is essentialfor the effective management ofafirm' s resources, but each perspective-independent of the otherfails to acknowledge the interreliance of business processes and the information systems that support them. This research develops a theoretical basis for this gap based on structural learning theory's definition of directive rule types: problem definition rules and solution rules. Structural learning theory is used to illustrate how these perspectives can be bridged. Based on the resulting model, the paper discusses the knowledge, skills and abilities that information systems professionals must have to enable bridging the gap.
业务-信息系统专业差异:弥合业务规则差距
群体差异经常被引用到信息系统专业人员和连接业务专业人员之间。现在,必须将构成业务规则的透视图添加到组差异列表中。在许多组织中,连接业务专业人员和信息系统专业人员对业务规则的构成意见不一。职能人员根据如何定义和约束业务流程来表达业务规则。或者,信息系统专业人员根据规则对操纵组织的数据资源所施加的约束来看待业务规则。这些观点中的每一个对于企业资源的有效管理都是必不可少的,但是每一个独立的观点都没有认识到业务流程和支持它们的信息系统之间的相互依赖性。本研究基于结构学习理论对指导性规则类型:问题定义规则和解决规则的定义,为这一差距提供了理论基础。结构学习理论用于说明如何将这些观点连接起来。基于所得到的模型,本文讨论了信息系统专业人员必须具备的知识、技能和能力,以弥补这一差距。
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来源期刊
Information Resources Management Journal
Information Resources Management Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
44
期刊介绍: Topics should be drawn from, but not limited to, the following areas, with major emphasis on the managerial and organizational aspects of information resource and technology management: •Application of IT to operation •Artificial intelligence and expert systems technologies and issues •Business process management and modeling •Data warehousing and mining •Database management technologies and issues •Decision support and group decision support systems •Distance learning technologies and issues •Distributed software development •E-collaboration •Electronic commerce technologies and issues •Electronic government •Emerging technologies management
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