TY - GEN
T1 - Business Architecture Model Adapted to Predictive Analysis for Customer's Increasing of SMEs of Furnitures Industry through Digital Tools
AU - Aquino-Arrieta, Katherin
AU - Fernandez-Mejia, Franco
AU - Cespedes-Blanco, Carlos
AU - Raymundo-Ibañez, Carlos
AU - Alvarez, Jose Maria
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - More than 50% of micro and small enterprises (SMEs) in Peru are at risk of disappearing owing to a lack of customers because they are failing to take advantage of newly developed digital tools. This hinders SMEs operating within the furniture industry from attracting new customers, lowering their sales to minimum levels. Therefore, our study aims to solve the problem through a business architecture model that allows for the use of digital tools and predictive analyses, which will define a new sales channel that allows for the identification of customer tastes and the creation of new marketing and sales strategies. For this purpose, we conducted a study that allowed us to validate the proposal made to SMEs operating in this sector. As the results showed, sales experienced a 10% annual increase by the end of the study owing to the alternative provided.
AB - More than 50% of micro and small enterprises (SMEs) in Peru are at risk of disappearing owing to a lack of customers because they are failing to take advantage of newly developed digital tools. This hinders SMEs operating within the furniture industry from attracting new customers, lowering their sales to minimum levels. Therefore, our study aims to solve the problem through a business architecture model that allows for the use of digital tools and predictive analyses, which will define a new sales channel that allows for the identification of customer tastes and the creation of new marketing and sales strategies. For this purpose, we conducted a study that allowed us to validate the proposal made to SMEs operating in this sector. As the results showed, sales experienced a 10% annual increase by the end of the study owing to the alternative provided.
KW - digital marketing
KW - predictive analysis
KW - SEO
KW - SME
UR - https://www.scopus.com/pages/publications/85084953423
U2 - 10.1109/ICITM48982.2020.9080370
DO - 10.1109/ICITM48982.2020.9080370
M3 - Contribución a la conferencia
AN - SCOPUS:85084953423
T3 - ICITM 2020 - 2020 9th International Conference on Industrial Technology and Management
SP - 176
EP - 180
BT - ICITM 2020 - 2020 9th International Conference on Industrial Technology and Management
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Industrial Technology and Management, ICITM 2020
Y2 - 11 February 2020 through 13 February 2020
ER -