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Zamani ED, Spanaki K. Affective temporal experiences and new work modalities: The role of Information and Communication Technologies. JOURNAL OF BUSINESS RESEARCH 2023; 154:113311. [PMID: 36156904 PMCID: PMC9482338 DOI: 10.1016/j.jbusres.2022.113311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 05/24/2022] [Accepted: 09/08/2022] [Indexed: 05/16/2023]
Abstract
As a result of the Covid-19 pandemic, new ways of working emerged, such as fully remote to hybrid work. As the restrictions with regards to the spatial dimension of work become less rigid, the temporal dimension surfaces as one of the more important aspects of work. In this study, we draw from the Negative Theology of Time to present a more nuanced understanding of how Information and Communication Technologies (ICTs) influence temporal experiences and how these shape work itself. We do this by leveraging the metaphor genre, linking our observations to existing literature, and discussing chronopathic experiences, chronotelic behaviours and uses of ICTs.
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Lawson-Body A, Lawson-Body L, Illia A. Data Visualization: Developing and Validating Dashboard Measurement Instruments. JOURNAL OF COMPUTER INFORMATION SYSTEMS 2022. [DOI: 10.1080/08874417.2022.2073295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
| | - L. Lawson-Body
- University of North Dakota, Grand Forks, North Dakota, USA
| | - A. Illia
- Eastern Illinois University, Charleston, Illinois, USA
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Disciplined autonomy: How business analytics complements customer involvement for digital innovation. JOURNAL OF STRATEGIC INFORMATION SYSTEMS 2022. [DOI: 10.1016/j.jsis.2022.101706] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Mikalef P, Conboy K, Lundström JE, Popovič A. Thinking responsibly about responsible AI and ‘the dark side’ of AI. EUR J INFORM SYST 2022. [DOI: 10.1080/0960085x.2022.2026621] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Patrick Mikalef
- Department of Computer Science, Norwegian University of Science and Technology (NTNU), Norway
| | | | | | - Aleš Popovič
- School of Business & Economics, NEOMA Business School, Mont-Saint-Aignan, France
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Business Intelligence and Business Value in Organisations: A Systematic Literature Review. SUSTAINABILITY 2021. [DOI: 10.3390/su132011382] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Organisations must derive adequate business value (BV) from Business Intelligence (BI) adoption to retain their profitability and long-term sustainability. Yet, the nuances that define the realisation of BV from BI are still not understood by many organisations that have adopted BI. This paper aims to foster a deeper understanding of the relationship between Business Intelligence (BI) and business value (BV) by focusing on the theories that have been used, the critical factors of BV derivation, the inhibitors of BV, and the different forms of BV. To do this, a systematic literature review (SLR) methodology was adopted. Articles were retrieved from three scholarly databases, namely Google Scholar, Scopus, and Science Direct, based on relevant search strings. Inclusion and exclusion criteria were applied to select ninety-three (93) papers as the primary studies. We found that the most used theoretical frameworks in studies on BI and BV are the Resource-Based View (RBV), Dynamic Capabilities Theory (DCT), Technology-Organisation-Environment (TOE), and Contingency Theory (CON). The most acknowledged critical factors of BV are skilled human capital, BI Infrastructure, data quality, BI application and usage/data culture, BI alignment with organisational goals, and top management support. The most acclaimed inhibitors of BV are data quality and handling, data security and protection, lack of BI Infrastructure, and lack of skilled human resource capital, while customer intelligence is the most acknowledged form of BV. So far, many theories that are relevant to BI and BV, critical factors, inhibitors, and forms of BV were marginally mentioned in the literature, requiring more investigations. The study reveals opportunities for future research that can be explored to gain a deeper understanding of the issues of BV derivation from BI. It also offers useful insights for adopters of BI, BI researchers, and BI practitioners.
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Ivaturi K, Chua C. Rethinking time: ubichronic time and its impact on work. EUR J INFORM SYST 2021. [DOI: 10.1080/0960085x.2021.1966326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Koteswara Ivaturi
- Department of Business Technology & Entrepreneurship, Swinburne Business School, Swinburne University of Technology, Hawthorn, Australia
| | - Cecil Chua
- Missouri University of Science and Technology, Rolla, MO USA
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Conceptualising value creation in data-driven services: The case of vehicle data. INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT 2021. [DOI: 10.1016/j.ijinfomgt.2021.102335] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Mikalef P, Lemmer K, Schaefer C, Ylinen M, Fjørtoft SO, Torvatn HY, Gupta M, Niehaves B. Enabling AI capabilities in government agencies: A study of determinants for European municipalities. GOVERNMENT INFORMATION QUARTERLY 2021. [DOI: 10.1016/j.giq.2021.101596] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Raguseo E, Pigni F, Vitari C. Streams of digital data and competitive advantage: The mediation effects of process efficiency and product effectiveness. INFORMATION & MANAGEMENT 2021. [DOI: 10.1016/j.im.2021.103451] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Koch H, Chipidza W, Kayworth TR. Realizing value from shadow analytics: A case study. JOURNAL OF STRATEGIC INFORMATION SYSTEMS 2021. [DOI: 10.1016/j.jsis.2021.101668] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Zamani ED, Griva A, Spanaki K, O'Raghallaigh P, Sammon D. Making sense of business analytics in project selection and prioritisation: insights from the start-up trenches. INFORMATION TECHNOLOGY & PEOPLE 2021. [DOI: 10.1108/itp-09-2020-0633] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
PurposeThe study aims to provide insights in the sensemaking process and the use of business analytics (BA) for project selection and prioritisation in start-up settings. A major focus is on the various ways start-ups can understand their data through the analytical process of sensemaking.Design/methodology/approachThis is a comparative case study of two start-ups that use BA in their projects. The authors follow an interpretive approach and draw from the constructivist grounded theory method (GTM) for the purpose of data analysis, whereby the theory of sensemaking functions as the sensitising device that supports the interpretation of the data.FindingsThe key findings lie within the scope of project selection and prioritisation, where the sensemaking process is implicitly influenced by each start-up's strategy and business model. BA helps start-ups notice changes within their internal and external environment and focus their attention on the more critical questions along the lines of their processes, operations and business model. However, BA alone cannot support decision-making around less structured problems such as project selection and prioritisation, where intuitive judgement and personal opinion are still heavily used.Originality/valueThis study extends the research on BA applied in organisations as tools for business development. Specifically, the authors draw on the literature of BA tools in support of project management from multiple perspectives. The perspectives include but are not limited to project assessment and prioritisation. The authors view the decision-making process and the path from insight to value, as a sensemaking process, where data become part of the sensemaking roadmap and BA helps start-ups navigate the decision-making process.
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Bawack RE, Ahmad MO. Understanding business analytics continuance in agile information system development projects: an expectation-confirmation perspective. INFORMATION TECHNOLOGY & PEOPLE 2021. [DOI: 10.1108/itp-10-2020-0681] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
PurposeThis paper seeks to examine how expectations from business analytics (BA) by members of agile information systems development (ISD) teams affect their perceptions and continuous use of BA in ISD projects.Design/methodology/approachData was collected from 153 respondents working in agile ISD projects and analysed using partial least squares structural equation modelling techniques (PLS-SEM).FindingsPerceived usefulness and technological compatibility are the most salient factors that affect BA continuance intention in agile ISD projects. The proposed model explains 48.4% of the variance for BA continuance intention, 50.6% of the variance in satisfaction, 36.7% of the variance in perceived usefulness and 31.9% of the variance in technological compatibility.Research limitations/implicationsFirst, this study advances understanding of the factors that affect the continuous use of BA in agile ISD projects; second, it contextualizes the expectation-confirmation model by integrating technological compatibility in the context of agile ISD projects.Originality/valueThis is the first study to investigate BA continuance intention from an employee perspective in the context of agile ISD projects.
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Cheng X, Su L, Luo X(R, Benitez J, Cai S. The good, the bad, and the ugly: impact of analytics and artificial intelligence-enabled personal information collection on privacy and participation in ridesharing. EUR J INFORM SYST 2021. [DOI: 10.1080/0960085x.2020.1869508] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Xusen Cheng
- School of Information, Renmin University of China , Beijing, China
| | - Linlin Su
- School of Information Technology and Management, University of International Business and Economics , Beijing, China
| | - Xin (Robert) Luo
- Anderson School of Management, University of New Mexico , Albuquerque, United States
| | - Jose Benitez
- Department of Supply Chain Management and Information Systems, Rennes School of Business , Rennes, France
| | - Shun Cai
- Department of Management Science, School of Management, Xiamen University , Xiamen, China
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Abstract
The literature on big data analytics and firm performance is still fragmented and lacking in attempts to integrate the current studies’ results. This study aims to provide a systematic review of contributions related to big data analytics and firm performance. The authors assess papers listed in the Web of Science index. This study identifies the factors that may influence the adoption of big data analytics in various parts of an organization and categorizes the diverse types of performance that big data analytics can address. Directions for future research are developed from the results. This systematic review proposes to create avenues for both conceptual and empirical research streams by emphasizing the importance of big data analytics in improving firm performance. In addition, this review offers both scholars and practitioners an increased understanding of the link between big data analytics and firm performance.
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