Mobile business intelligence: key considerations for implementations projects
TL;DR: The MOBII framework was successfully evaluated, its practical applicability was demonstrated by adapting an actively used BI implementation method, and twenty key considerations, which are also included in the framework.
Abstract: The new generation of mobile devices, such as smartphones and tablets, is enabling employees to access business insights anytime, anywhere. This trend in Business Intelligence (BI) is popularized under the term mobile BI. Various studies indicate a strong increase in the adoption of this technology. However, mobile BI implementations remain unexplored and unsupported by implementation methods. By devising a Mobile BI Implementation (MOBII) framework, this study aims to fill in this research gap. A systematic literature review revealed the following major implementation themes: (1) value creation, (2) application deployment, (3) information security, (4) workforce mobilization, (5) information delivery and (6) device management. Moreover, expert interviews revealed twenty key considerations, which are also included in the framework. Using a single case study the MOBII framework was successfully evaluated and its practical applicability was demonstrated by adapting an actively used BI implementation method.
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TL;DR: The results indicate that m-BI system quality attributes affect m- BI use indirectly through engagement, with this finding contributing to understanding of the complexity of IS use in mobile technologies.
53 citations
Cites background from "Mobile business intelligence: key c..."
...Not surprisingly, it is also an important factor influencing BI use and a mobile setting such as via smartphones/tablets (Verkooij and Spruit, 2013)....
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...and a mobile setting such as via smartphones/tablets (Verkooij and Spruit, 2013)....
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TL;DR: It is suggested that big data analytics can provide necessary insights to help change strategy making and six propositions about the relationships between the levels of data analytics capabilities and strategic dynamic capabilities are offered.
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TL;DR: In this article , a qualitative analysis of in-depth interviews reveals the most important uncertainties and risks (COVID-19 measures, employee welfare, forecast horizon, demand change, and government regulations) and risks for LSPs.
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TL;DR: Examination of the effects of value perception and alternative attractiveness on the diffusion of tablet PCs reveals that perceived low benefits, monetary and non-monetary sacrifices are determinants of perceived low value, which in turn influences low adoption intention of tablet PC.
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TL;DR: In this article, the authors explored the relevant factors for BIS adoption using a systematic literature review (SLR) and an expert-ranking survey of 63 studies that were published in Scopus and WoS databases from 2011 to 2020.
Abstract: In this era of industrial revolution (IR 4.0), coupled with the emergence of the deadly global pandemic of COVID-19, healthcare organizations are compelled to embrace new technologies for their routine decision-making. The Business Intelligence System (BIS) is one of the emphasized innovations, and due to its potential to provide more intellectual information for decision-making processes, has attracted the interest of industry analysts and policymakers. Literature suggests that the BIS is integrated by organizations in different sectors, but most BIS initiatives struggle to produce the anticipated outcomes. Moreover, the adoption of BIS in SMEs generally and healthcare specifically is rather insignificant. This is due to numerous factors. It is therefore necessary to discover and analyze the essential determinants affecting the adoption of BIS in healthcare SMEs. Therefore, this study tries to tackle this gap by exploring the relevant factors for BIS adoption using a systematic literature review (SLR) and an expert-ranking survey of 63 studies that were published in Scopus and WoS databases from 2011 to 2020. A total of 22 determinants are identified and sent to 15 experts. The data that were gathered from these experts were analyzed using SPSS. The results of the analysis indicated 15 determinants were significant, and one determinant was added by an expert. Consequently, a theoretical structure has been developed based on technology, organization, environment, and CEOs determinants and theories. The results of the current study will deepen the current BIS literature and advance the understanding of the significant elements of BIS adoption decision. © 2021 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
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References
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Book•
01 Oct 1984
TL;DR: In this article, buku ini mencakup lebih dari 50 studi kasus, memberikan perhatian untuk analisis kuantitatif, membahas lebah lengkap penggunaan desain metode campuran penelitian, and termasuk wawasan metodologi baru.
Abstract: Buku ini menyediakan sebuah portal lengkap untuk dunia penelitian studi kasus, buku ini menawarkan cakupan yang luas dari desain dan penggunaan metode studi kasus sebagai alat penelitian yang valid. Dalam buku ini mencakup lebih dari 50 studi kasus, memberikan perhatian untuk analisis kuantitatif, membahas lebih lengkap penggunaan desain metode campuran penelitian, dan termasuk wawasan metodologi baru.
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TL;DR: The objective is to describe the performance of design-science research in Information Systems via a concise conceptual framework and clear guidelines for understanding, executing, and evaluating the research.
Abstract: Two paradigms characterize much of the research in the Information Systems discipline: behavioral science and design science The behavioral-science paradigm seeks to develop and verify theories that explain or predict human or organizational behavior The design-science paradigm seeks to extend the boundaries of human and organizational capabilities by creating new and innovative artifacts Both paradigms are foundational to the IS discipline, positioned as it is at the confluence of people, organizations, and technology Our objective is to describe the performance of design-science research in Information Systems via a concise conceptual framework and clear guidelines for understanding, executing, and evaluating the research In the design-science paradigm, knowledge and understanding of a problem domain and its solution are achieved in the building and application of the designed artifact Three recent exemplars in the research literature are used to demonstrate the application of these guidelines We conclude with an analysis of the challenges of performing high-quality design-science research in the context of the broader IS community
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01 Jan 1998
TL;DR: In this article, the authors present a review of the state-of-the-art in the field of qualitative research, focusing on the state of the art and the future.
Abstract: PART ONE: FRAMEWORK Guide to this Book Qualitative Research: Why And How to Do It Qualitative and Quantitative Research Approaches to Qualitative Research Ethics of Qualitative Research PART TWO: THEORY IN QUALITATIVE RESEARCH Using the Existing Literature Theories Underlying Qualitative Research Texts as Data in Qualitative Research PART THREE: RESEARCH DESIGN Designing Qualitative Research The Qualitative Research Process Research Questions Entering the Field Sampling Triangulation PART FOUR: VERBAL DATA Collecting Verbal Data Interviews Focus Groups Using Narrative Data PART FIVE: DATA BEYOND TALK Collecting Data Beyond Talk Observation and Ethnography Visual Data: Photography, Film & Video Using Documents as Data PART SIX: QUALITATIVE DATA ANALYSIS Qualitative Data Analysis Transcription and Data Management Grounded Theory Coding Thematic Coding and Content Analysis Naturally Occuring Data: Conversation, Discourse, and Hermeneutic Analysis Using Software in Qualitative Data Analysis PART SEVEN: GROUNDING, WRITING AND OUTLOOK Quality of Qualitative Research: Criteria and Beyond Writing Qualitative Research State of the Art and the Future
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TL;DR: Criteria for the evaluation of case research are established and several characteristics useful for categorizing the studies are identified and examples of research areas that are particularly well-suited to investigation using the case research approach are concluded.
Abstract: This article defines and discusses one of these qualitative methods - the case research strategy Suggestions are provided for researchers who wish to undertake research employing this approach Criteria for the evaluation of case research are established and several characteristics useful for categorizing the studies are identified A sample of papers drawn from information systems journals is reviewed The paper concludes with examples of research areas that are particularly well-suited to investigation using the case research approach
5,310 citations
"Mobile business intelligence: key c..." refers methods in this paper
...More specifically, a disconfirmatory [5] case study setting was chosen, as this allows the use of a single case while safeguarding external validity....
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4,637 citations