Understanding towards Interactions between Business Intelligence and SMEs: Learn from Each Other

Abstract

Business Intelligence (BI) and SMEs are two distinctive research domains but greater interaction between these two entities can offer the effective learn from each other. This interaction has been consider in conducting the changing environment. This interaction does only strengthen individual insights of BI and SMEs, it contributes to the business environmental performance. Although research on BI and SMEs is vast to date, limited focus was given on learning aspect between BI and SMEs. Therefore, this study is aimed to analyse literature and explore an integrated view of literature analysed on how BI and SMEs learn from each other and contributes to the business environmental performance. A qualitative content analysis was conducted for the procedure, which considers 43 articles for data source. Findings of the literature review suggest enhancing capability of SMEs and new innovation of BI, which may affect each other. Findings of this study may become useful for further research in terms of BI implementation success.

Intellectual agility and innovation in micro and small businesses: The mediating role of entrepreneurial leadership

“…The evidence compiled over the years suggests that innovation flourishes from the seeds of creativity (Stojcic et al, 2018) and knowledge (Santos-Rodrigues et al, 2010) and is found within and outside (Brink, 2017;Tobiassen and Pettersen, 2018) of organizations. Among the internal drivers of innovation, considerable attention has been paid to knowledge (Radas and Božić, 2009), business intelligence (Huges, 2009;Mohsin et al, 2015;Agostino et al, 2013;Ali et al, 2017) and the personal values of staff and managers (Potocan and Nedelko, 2013;Letonja et al, 2016).…”

La inteligencia de negocios y la analítica de datos en los procesos empresariales

“…Tabla 2. Metodologías usadas inteligencia de negocios y analítica de datos en procesos empresariales Metodología de análisis de datos Estudios Metodología Empírica (Ali et al, 2017), (Llave, 2017), (Guitarra Romero, 2019), (Cerda-Leiva et al, 2020), (Popovič et al, 2019), (Ghashami et al, 2019), (Vanegas et al, 2020), (Vanegas et al, 2020), (Torres et al, 2018), (Amankwah-Amoah y Adomako, 2019), (Grytz y Krohn-Grimberghe, 2017), (Verma et al, 2019), (Moreno et al, 2020), (Muñoyerro-Muñiz et al, 2020), (Combita Niño et al, 2020), (Balachandran y Prasad, 2017), (Choi et al, 2020), (Mansell y Ruhode, 2019), (Vajirakachorn y Chongwatpol, 2017), (Václav et al, 2021) Modelo de DeLone y McLean, Modelo de Seddon y Seddon Modificado (Ain et al, 2019), (Gonzales y Wareham, 2019), (Gaardboe et al, 2017) Metodología CRISP-DM (Espinosa Zúñiga, 2020), (Barrera-Narváez et al, 2020) Kimball (Radenković et al, 2018), (Lokaadinugroho et al, 2021) Proceso Unificado Ágil (Morales Lugo et al, 2020), (Sigler et al, 2020) Otras metodologías (Soh and Markus, DTS, TOE, Adaptive Business Intelligence, DSRM, Poe, A-BI+, PMS, Cuadro de Mando integral) (Trieu, 2017), (Pappas et al, 2018), (Ahmad et al, 2020, (Lopes et al, 2020), (Zheng et al, 2018), (Morales y Carrión, 2020), (Francia et al, 2020), (Vallurupalli y Bose, 2018), (Lea et al, 2018) Fuente: elaboración propia. De acuerdo a la Tabla 3, las grandes empresas en los sectores comerciales, servicios de TI, big data, contabilidad, telecomunicaciones, recur...…”

Identifying the main factors involved in business intelligence implementation in SMEs

“…Qushem et al [44] identified the factors involved in determining the efficiency of BI in SMEs; however, only explores Malaysian SMEs. Ali, Khan & Miah [45], aimed to determine the effects and interactions of the relationship between BI and SMEs in the business context. Their results show that SMEs need to improve their capabilities (organizational and technological) for new BI innovations and to select the appropriate BI application to generate competitive advantages.…”