How to improve efficiency in budgeting: The case of business intelligence in SMEs
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In: European Journal of Management, Vol. 13, No. 2, 2013, p. 109-120.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - How to improve efficiency in budgeting
T2 - The case of business intelligence in SMEs
AU - Lueg, Rainer
AU - Lu, Shijia
PY - 2013
Y1 - 2013
N2 - While budgets are highly relevant for a wide array of organizations, the process of budgeting is often subject to critique due to the high resources spent on data processing (Lalli 2003). The aim of this article is to illustrate how standard software for business intelligence (BI) can enable even small and medium enterprises (SMEs) to increase efficiency in budgeting. For this, we participated in a change of the budgeting process at a Chinese-Danish public organization (interventionist research). Our findings provide several contributions to existing theory of budgeting and BI for SMEs: First, we suggest that budgeting inefficiency (terms of the time spent) is caused by low-quality data. Consistent with Miller & Galeaz (2007), this low data quality is rooted in problems that participants of the budgeting process encounter; specifically lacks of understandability, simplicity, and user-friendliness of the IT-solution. Second, we illustrate that affordable, standard BI-solutions can address these problems and substantially improve the budgeting process within short time frames. Third, we develop a comprehensive mediation model of budgeting efficiency for future research.
AB - While budgets are highly relevant for a wide array of organizations, the process of budgeting is often subject to critique due to the high resources spent on data processing (Lalli 2003). The aim of this article is to illustrate how standard software for business intelligence (BI) can enable even small and medium enterprises (SMEs) to increase efficiency in budgeting. For this, we participated in a change of the budgeting process at a Chinese-Danish public organization (interventionist research). Our findings provide several contributions to existing theory of budgeting and BI for SMEs: First, we suggest that budgeting inefficiency (terms of the time spent) is caused by low-quality data. Consistent with Miller & Galeaz (2007), this low data quality is rooted in problems that participants of the budgeting process encounter; specifically lacks of understandability, simplicity, and user-friendliness of the IT-solution. Second, we illustrate that affordable, standard BI-solutions can address these problems and substantially improve the budgeting process within short time frames. Third, we develop a comprehensive mediation model of budgeting efficiency for future research.
KW - Management studies
KW - Budgeting
KW - small and medium sized enterprise (SME)
KW - public sector
KW - non-profit
KW - business intelligence (BI)
KW - spreadsheet modeling
KW - object-oriented programming (OOP)
KW - Visual Basic for applications (VBA)
U2 - 10.18374/EJM-13-2.13
DO - 10.18374/EJM-13-2.13
M3 - Journal articles
VL - 13
SP - 109
EP - 120
JO - European Journal of Management
JF - European Journal of Management
SN - 1555-4015
IS - 2
ER -