SMART decision analysis for choosing optimum business intelligence tool for SMEs

Md Shakil Ahmed; Marco Gilardi; Keshav Dahal

SMART decision analysis for choosing optimum business intelligence tool for SMEs

Md Shakil Ahmed
, Marco Gilardi
, Keshav Dahal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

338 Downloads (Pure)

Abstract

In today’s business environment, choosing the required business intelligence (BI) tools are important to support SMEs recovery. The COVID-19 pandemic has changed businesses to focus on better digitization, not only in their day-to-day business activities, but also in effective use of BI tools for decision making that account for the changes in the business environment. For SMEs’ recovery, it is important that a certain amount of budget is dedicated to afford information technology innovation that supports growth. In this paper, we propose a strategy based on the simple multi-attribute rating technique (SMART) to help directors and managers of SMEs for selecting the optimum business intelligence tool.

Original language	English
Title of host publication	Proceedings of the British Academy of Management 2021 Conference
Publisher	British Academy of Management
Publication status	Accepted/In press - 30 May 2021
Event	British Academy of Management Conference 2021 - Online Duration: 31 Aug 2021 → 3 Sept 2021 https://www.bam.ac.uk/events-landing/conference.html

Conference

Conference	British Academy of Management Conference 2021
Abbreviated title	BAM2021
Period	31/08/21 → 3/09/21
Internet address	https://www.bam.ac.uk/events-landing/conference.html

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure

Keywords

business intelligence
small and medium enterprises (SMEs)
simple multi-attribute rating technique (SMART)
decision making

Access to Document

2021 05 30 Ahmed et al SMART acceptedAccepted author manuscript, 145 KB

Cite this

@inproceedings{e974c8ce70074e9da97864e0fbee05c0,

title = "SMART decision analysis for choosing optimum business intelligence tool for SMEs",

abstract = "In today{\textquoteright}s business environment, choosing the required business intelligence (BI) tools are important to support SMEs recovery. The COVID-19 pandemic has changed businesses to focus on better digitization, not only in their day-to-day business activities, but also in effective use of BI tools for decision making that account for the changes in the business environment. For SMEs{\textquoteright} recovery, it is important that a certain amount of budget is dedicated to afford information technology innovation that supports growth. In this paper, we propose a strategy based on the simple multi-attribute rating technique (SMART) to help directors and managers of SMEs for selecting the optimum business intelligence tool.",

keywords = "business intelligence, small and medium enterprises (SMEs), simple multi-attribute rating technique (SMART), decision making",

author = "Ahmed, \{Md Shakil\} and Marco Gilardi and Keshav Dahal",

year = "2021",

month = may,

day = "30",

language = "English",

booktitle = "Proceedings of the British Academy of Management 2021 Conference",

publisher = "British Academy of Management",

address = "United Kingdom",

note = "British Academy of Management Conference 2021, BAM2021 ; Conference date: 31-08-2021 Through 03-09-2021",

url = "https://www.bam.ac.uk/events-landing/conference.html",

}

TY - GEN

T1 - SMART decision analysis for choosing optimum business intelligence tool for SMEs

AU - Ahmed, Md Shakil

AU - Gilardi, Marco

AU - Dahal, Keshav

PY - 2021/5/30

Y1 - 2021/5/30

N2 - In today’s business environment, choosing the required business intelligence (BI) tools are important to support SMEs recovery. The COVID-19 pandemic has changed businesses to focus on better digitization, not only in their day-to-day business activities, but also in effective use of BI tools for decision making that account for the changes in the business environment. For SMEs’ recovery, it is important that a certain amount of budget is dedicated to afford information technology innovation that supports growth. In this paper, we propose a strategy based on the simple multi-attribute rating technique (SMART) to help directors and managers of SMEs for selecting the optimum business intelligence tool.

AB - In today’s business environment, choosing the required business intelligence (BI) tools are important to support SMEs recovery. The COVID-19 pandemic has changed businesses to focus on better digitization, not only in their day-to-day business activities, but also in effective use of BI tools for decision making that account for the changes in the business environment. For SMEs’ recovery, it is important that a certain amount of budget is dedicated to afford information technology innovation that supports growth. In this paper, we propose a strategy based on the simple multi-attribute rating technique (SMART) to help directors and managers of SMEs for selecting the optimum business intelligence tool.

KW - business intelligence

KW - small and medium enterprises (SMEs)

KW - simple multi-attribute rating technique (SMART)

KW - decision making

M3 - Conference contribution

BT - Proceedings of the British Academy of Management 2021 Conference

PB - British Academy of Management

T2 - British Academy of Management Conference 2021

Y2 - 31 August 2021 through 3 September 2021

ER -

SMART decision analysis for choosing optimum business intelligence tool for SMEs

Abstract

Conference

UN SDGs

Keywords

Access to Document

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Cite this