scholarly journals Business Intelligence and Business Value in Organisations: A Systematic Literature Review

2021 ◽  
Vol 13 (20) ◽  
pp. 11382
Author(s):  
Dignity Paradza ◽  
Olawande Daramola

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.

Author(s):  
Mohammed A. Alhossini ◽  
Collins G. Ntim ◽  
Alaa Mansour Zalata

This paper comprehensively reviews the current body of international accounting literature regarding advisory/monitoring committees and corporate outcomes. Specifically, it synthesizes, appraises, and extends current knowledge on the (a) theoretical (i.e., economic, accounting/corporate governance, sociological and socio-psychological) perspectives and (b) empirical evidence of the observable and less visible attributes at both the individual and committee levels and their link with a wide range (financial/non-financial) of corporate outcomes. Using the systematic literature review method, 304 articles from 59 journals in the fields of accounting and finance that were published between January 1992 and December 2018 are reviewed. The main findings are as follows. First and theoretically, agency theory is the most dominant applied theory/studies with no application of theory at all (descriptive), while the application of integrated theoretical frameworks is lacking in the reviewed articles. Secondly, the existing empirical evidence focusses excessively on (a) monitoring instead of advisory committees and (b) observable rather than less visible committee attributes. Thirdly, scarcity of cross-country studies along with methodological limitations relating to measurement inconsistencies, insufficiency of variables, and dominance of quantitative studies, among others, are identified. Finally, promising future research avenues are outlined.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdussamet Polater

PurposeThe main purpose of this paper is to examine the extant literature of humanitarian supply chain management (HSCM) which specifically use dynamic capabilities (DCs) view. By this means, the objectives of this study are to identify and assess the DCs used in the HSCM context, the factors positively and negatively affecting the DCs and how the DCs affect humanitarian supply chain (HSC) operations. Furthermore, this research aims to give directions for future research in the field of HSCM.Design/methodology/approachThis study adopts systematic literature review (SLR) approach proposed by Denyer and Tranfield (2009). Based on a SLR, this study synthesizes and compares the evidence, has a specific focus and research questions, has certain inclusion and exclusion criteria and provides evidence-based implications to the researchers and practitioners. This is a method which is replicable, transparent and auditable. The SLR methodology provides scholars and practitioners a basis for comprehending the current situation of relevant topic and taking correct steps in their future actions.FindingsThis SLR deduces that applying DCs view is still in its infancy in the HSCM literature. The result of this SLR reveals that supply chain agility (SCA), supply chain resilience (SCR), reconfiguration/transformation, integration, (short-term) collaboration, sustaining, sensing, seizing and knowledge access DCs have been used in the HSCM literature. In addition, it is determined that only one paper analyzed the influence of DCs on predisaster performance while rest of the papers focused on the postdisaster performance.Originality/valueThe result of the exhaustive literature search indicates that this is the first SLR that specifically analyzes the application of DCs view in the HSCM domain. This investigation determined the DCs used in HSCM and revealed the relations between the dependent and independent variables through the comprehensive model. In this way, this review provides a guidance to researchers in conduct their future investigations and practitioners to carry out supply chain (SC) operations by considering the factors affecting their operations.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahak Sharma ◽  
Ruchita Gupta ◽  
Padmanav Acharya

Purpose The purpose of this paper is to presents an analysis of geographically and disciplinary scattered academic publications of cloud computing (CC) research in information systems. This review aims to understand the research methodology, research frameworks and models, geographical distribution, trends, critical factors and causal relationships associated with cloud computing adoption (CCA). Design/methodology/approach Systematic-literature-review using natural language processing is conducted to explore the phenomenon. The relevant research studies are extracted from various online databases using quality-assessment-criteria. Findings The study is a novel attempt to highlight the differences in critical factors for CCA in different country-settings. Further, the research explores the causal relationships among the identified factors. The findings of this 12-year systematic-review contribute by aiding the providers and potential adopters to devise context-specific strategies for the penetration of cloud services and sound adoption decisions (ADs), respectively. The findings also highlight the prospective avenues of research in the domain for researchers. Using the in-depth analysis, conceptual frameworks have been proposed that can assist in exploring the pre-adoption and post-adoption of CC. Originality/value This study contributes to CCA research by providing holistic insights into the methodology, research framework and models, geographical focus, critical factors and causal relationships influencing the AD or intention. The review highlights the unexplored emerging research topics in the field of CCA for future research directions.


2017 ◽  
Vol 25 (1) ◽  
pp. 30 ◽  
Author(s):  
Klara-Marie Gremme ◽  
Veit Wohlgemuth

Purpose. Although the dynamic capability concept has been one of the most researched topics in strategic management in recent years, it is not commonly defined in theory and hardly applied in practice. For this reason, the authors decided to re-evaluate dynamic capability literature. Design/Method/Approach. Systematic literature review. Findings. Various discrepancies concerning the very nature of dynamic capabilities and their impact on firm performance are identified that need to be resolved. Theoretical implications. For the purpose of enabling more precise prediction, it is recommended to contrast various dynamic capability concepts, reducing the number and increasing the predictability of the contingencies involved. It is advised to develop these scenarios based on the various seminal papers on dynamic capabilities, grounded in empirical research and supported by specific examples. Practical implication. It is concluded that there is a generalized version of the dynamic capability concept that allows one to understand the rough outline of dynamic capability theory. However, it is noted that this generalized, contingency-based version compromises the prediction of specific dynamic capability deployment outcomes, therefore hindering dynamic capabilities in gaining practical application. Originality/Value. Complementary and opposing views on the characteristics, causalities and contingencies of the dynamic capability construct are combined and contrasted respectively. Research limitations/Future research. The paper highlights avenues for further research by contrasting, rather than merging, different perspectives. Paper type – сonceptual.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Simone Cocciasecca ◽  
Giuseppe Grossi ◽  
Alessandro Sancino

PurposeThe purpose of this paper is to review previous research on public appointments to systematize existing knowledge, identify gaps and discuss implications for future research in this field.Design/methodology/approachThis paper is based on a systematic literature review, carried out using the Scopus database. We selected academic articles published in journals ranked in the 2018 CABS Academic Journal Guide plus public administration articles in journals classified by Google as falling within the areas of public policy and administration. The papers were analysed according to four categories: geographical area, theoretical framework, research method and organizational setting.FindingsResults show the lack of research regarding areas like Latin America or East Asia; from a theoretical viewpoint, given the lack of explicit theoretical approaches, future research should have more formal and clear theoretical frameworks. Moreover, given the dominance of case study and review/reflection studies, alternative research methods, such as surveys or mixed methods are suggested for future works.Research limitations/implicationsWe identify a new research agenda to revive the focus on public appointments as a tool for intra- and inter-organizational governance in the public sector. Specifically, we argue that how the process of public appointments is managed has huge democratic implications, and public managers have a key role to play in that respect by designing effective governance systems and organizational procedures. The selection of papers has been limited to articles published in peer- review journals ranked in the 2018 CABS Guide; no distinctions have been made regarding journals' positioning in the ranking. Moreover, this work takes a managerial and organizational approach, while the research on public appointments is clearly interdisciplinary, with previous contributions coming mainly from political scientists.Originality/valueDespite the relevant body of literature on this topic, this study represents the first manuscript to summarize the state of the art of this theme, providing a research agenda on this very relevant but quite neglected issue in public governance.


2018 ◽  
Vol 30 (12) ◽  
pp. 3514-3554 ◽  
Author(s):  
Marcello Mariani ◽  
Rodolfo Baggio ◽  
Matthias Fuchs ◽  
Wolfram Höepken

PurposeThis paper aims to examine the extent to which Business Intelligence and Big Data feature within academic research in hospitality and tourism published until 2016, by identifying research gaps and future developments and designing an agenda for future research.Design/methodology/approachThe study consists of a systematic quantitative literature review of academic articles indexed on the Scopus and Web of Science databases. The articles were reviewed based on the following features: research topic; conceptual and theoretical characterization; sources of data; type of data and size; data collection methods; data analysis techniques; and data reporting and visualization.FindingsFindings indicate an increase in hospitality and tourism management literature applying analytical techniques to large quantities of data. However, this research field is fairly fragmented in scope and limited in methodologies and displays several gaps. A conceptual framework that helps to identify critical business problems and links the domains of business intelligence and big data to tourism and hospitality management and development is missing. Moreover, epistemological dilemmas and consequences for theory development of big data-driven knowledge are still a terra incognita. Last, despite calls for more integration of management and data science, cross-disciplinary collaborations with computer and data scientists are rather episodic and related to specific types of work and research.Research limitations/implicationsThis work is based on academic articles published before 2017; hence, scientific outputs published after the moment of writing have not been included. A rich research agenda is designed.Originality/valueThis study contributes to explore in depth and systematically to what extent hospitality and tourism scholars are aware of and working intendedly on business intelligence and big data. To the best of the authors’ knowledge, it is the first systematic literature review within hospitality and tourism research dealing with business intelligence and big data.


Author(s):  
Marilex Rea Llave

Business intelligence and analytics (BI&A) has become a cornerstone of many organizations in making informed decisions. Despite the importance of small and medium-sized enterprises (SMEs) to all world economies, research in BI&A focuses mostly on large enterprises. To aid in closing this gap, this study provides a comprehensive review of the literature sources in this domain. Through a systematic literature review, this study collects, categorizes, synthesizes, and analyzes 78 articles related to BI&A in SMEs. The research topics that are addressed include BI&A components and solutions, Mobile BI&A, Cloud BI&A, and BI&A application, adoption, implementation, and benefits. Further, the research gaps and suggestions for future research are presented to facilitate the progression of BI&A in SME research.


2019 ◽  
Vol 10 (1) ◽  
pp. 19-41 ◽  
Author(s):  
Marilex Rea Llave

Business intelligence and analytics (BI&A) has become a cornerstone of many organizations in making informed decisions. Despite the importance of small and medium-sized enterprises (SMEs) to all world economies, research in BI&A focuses mostly on large enterprises. To aid in closing this gap, this study provides a comprehensive review of the literature sources in this domain. Through a systematic literature review, this study collects, categorizes, synthesizes, and analyzes 78 articles related to BI&A in SMEs. The research topics that are addressed include BI&A components and solutions, Mobile BI&A, Cloud BI&A, and BI&A application, adoption, implementation, and benefits. Further, the research gaps and suggestions for future research are presented to facilitate the progression of BI&A in SME research.


2020 ◽  
Vol 26 (4) ◽  
pp. 857-888 ◽  
Author(s):  
Temidayo O. Akenroye ◽  
Jonathan D. Owens ◽  
Jamal Elbaz ◽  
Olatunde A. Durowoju

PurposeAlthough small- and medium-sized enterprises (SMEs) play major roles in most economies in terms of job creation, innovation and contribution to national income, they are often underrepresented in public procurement markets. This paper aims to explore how the dynamic capabilities theory can improve SME participation in public procurement.Design/methodology/approachThrough a systematic literature review, the paper identifies common barriers to the effective participation of SMEs in public procurement and explores the applicability of the dynamic capabilities theory in addressing these barriers.FindingsA theoretical analysis was conducted to identify possible relationships between the factors reported in the literature as barriers to SME participation in public procurement and different components of the dynamic capabilities of firms (i.e. sensing, seizing, reconfiguring and learning). Seven key propositions were generated to guide future research.Research limitations/implicationsDespite its contributions, this paper is based solely on a systematic literature review and theoretical analysis. Future studies could use meta-analysis to review multiple studies relating to the nexus between SMEs and public procurement, hence improving methodological rigour.Practical implicationsThe paper contributes to the ongoing debate about whether and how SMEs can leverage their resources and capabilities to develop self-help strategies to improve participation in public procurement, an area yet underexplored in the literature.Originality/valueThis is one of the few studies examining the implications of firm-level capabilities of SME activity in public procurement markets. The findings may be beneficial to SME managers/owners, particularly regarding firms' ability to leverage resources and capabilities to participate effectively in public procurement.


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