Purpose

The study explores the extent to which business analytics can address business problems using the task-technology fit theory.

Design/methodology/approach

The qualitative research approach of pattern matching was adopted for data analysis and 12 semi-structured interviews were conducted. Four propositions derived from the literature on task-technology fit are compared to emerging core themes from the empirical data.

Findings

The study establishes the relationships between various forms of fit, arguing that the iterative application of business analytics improves problem understanding and solutions, and contends that both under-fit and over-fit can be acceptable due to the increasing costs of achieving ideal fit and potential unaffected outcomes, respectively. The study demonstrates that managers should appreciate that there may be a distinction between those who create business analytics solutions and those who apply business analytics solutions to solve problems.

Originality/value

Extant studies on business analytics have not focused on how the match between business analytics and tasks affects the level to which problems can be addressed that determines business value. This study enriches the literature on business analytics by linking business analytics and business value through problem resolution demonstrated by task-technology fit. To the authors’ knowledge, this study might be the first to apply pattern matching to study the fit between technology and tasks.

中文翻译：

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通过业务分析解决问题：任务技术匹配视角

目的

该研究探讨了业务分析使用任务技术契合理论解决业务问题的程度。

设计/方法论/途径

采用模式匹配的定性研究方法进行数据分析，并进行了12次半结构化访谈。将来自任务技术匹配文献的四个命题与经验数据中出现的核心主题进行比较。

发现

该研究建立了各种形式的拟合之间的关系，认为业务分析的迭代应用可以提高问题理解和解决方案，并认为由于实现理想拟合和潜力的成本不断增加，拟合不足和过度拟合都是可以接受的分别不受影响的结果。该研究表明，管理者应该认识到，创建业务分析解决方案的人和应用业务分析解决方案解决问题的人之间可能存在区别。

原创性/价值

现有的业务分析研究并未关注业务分析和任务之间的匹配如何影响确定业务价值的问题解决水平。这项研究通过任务技术匹配证明的问题解决方案将业务分析和业务价值联系起来，丰富了有关业务分析的文献。据作者所知，这项研究可能是第一个应用模式匹配来研究技术和任务之间的契合度的研究。