Patterns of Resource Integration in the Self-service Approach to Business Analytics

Bani-Hani, Imad; Tona, Olgerta; Carlsson, Sven

doi:10.24251/hicss.2020.659

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…In the analytics phase, the employee starts formulating incrementally an answer to the specific question using the available data. This step is coupled with mental efforts, analytical and technical capabilities [41]. The outcome of this phase is a relatively satisfactory answer to the question.…”

Section: Theoretical Implicationsmentioning

confidence: 99%

The Triadic Relationship of Sense-Making, Analytics, and Institutional Influences

2021

Self Cite

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The current business environment demands the enablement of organization-wide use of analytics to support a fact-based decision making. Such movement within the organization require employees to take advantage of the self-service business analytics tools to independently fulfil their needs. However, assuming independence in data analytics requires employees to make sense of several elements which collectively contribute to the generation of required insights. Building on sense-making, self-service business analytics, and institutions literature, this paper explores the relationship between sense-making and self-service business analytics and how institutions influence and shape such relationship. By adopting a qualitative perspective and using 22 interviews, we have empirically investigated a model developed through our literature review and provided more understanding of the sense-making concept in a self-service business analytics context.

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Section: Theoretical Implicationsmentioning

confidence: 99%

The Triadic Relationship of Sense-Making, Analytics, and Institutional Influences

2021

Self Cite

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Crossover Service Pattern: Modeling and Computing

Chen

Yin

2023

Advanced Topics in Science and Technology in China

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Self-Reinforcement Mechanisms of Sustainability and Continuous System Use: A Self-Service Analytics Environment Perspective

Bani-Hani

Shepherd²

2021

Informatics

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The capabilities of the people, processes, and technology are important factors to consider when exploring continuous use to create value. Multiple perceptions and attitudes towards self-service systems lead to various usage levels and outcomes. With complex analytical structures, organizations need a better understanding of IS value and users’ satisfaction. Incompatibility reduces the purpose of self-service analytics, decreasing its value and making it obsolete. In a qualitative, single case study, 20 interviews in a major digital Scandinavian marketplace were explored using the expectation–confirmation theory of continuous use to explore the mechanisms influencing the sustainability of self-service value. Two main mechanisms were identified: the personal capability reinforcement mechanism and the environment value reinforcement mechanism. This study contributes to the post-implementation and continuous use literature and self-service analytics literature and provides some practice implications to the related industry.

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Patterns of Resource Integration in the Self-service Approach to Business Analytics

Cited by 3 publications

References 22 publications

The Triadic Relationship of Sense-Making, Analytics, and Institutional Influences

The Triadic Relationship of Sense-Making, Analytics, and Institutional Influences

Crossover Service Pattern: Modeling and Computing

Self-Reinforcement Mechanisms of Sustainability and Continuous System Use: A Self-Service Analytics Environment Perspective

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