Value Added Intellectual Coefficient Calculator or VAIC calculator is a calculator to compute efficiency level of firms' resources.VAIC is based on the assumption that both, intellectual capital and physical capital, are a function of production and mathematically computed as VAIC = ICE + CEE. Intellectual capital efficiency (ICE) is the sum of human capital efficiency (HCE) and structural capital efficiency (SCE), which are proxies for intellectual capital and capital employed efficiency (CEE) represents physical capital. To use this calculator, two simple steps are taken; step 1 is the input level by keyingin operating profit (OP), employee costs (EC), depreciation (D), and amortisation (A) in order to generate value added (VA) via this equation: VA = OP + EC + D + A and total assets (CE), step 2 is the output level whereby the calculator will generate efficiency scores of HCE through HCE = VA/HC, SCE through SCE = VA -HC/VA, CEE through CEE = VA/CE and ultimately the calculator will compute the value of VAIC. This paper has two objectives, to illustrate the use of the calculator and to discuss the contribution of the calculator. The VAIC calculator is an innovated product as it is unique, simple to operate, user-friendly and the first of its kind. The VAIC calculator will assist and guide firms' managers and policy makers in the allocation of firms' resources.
Abstract. The aim of this paper is to investigate the existing tourist trend arrival in Sabah based on fuzzy approach. It focuses on the latest 12 years (2002 -2013) visitors arrival based on their nationality for forecasting purposes. Based on Sabah Tourism Board's data, the tourist arrival continue to grow annually but with an inconsistent number of arrival. This can be seen from the trend of tourist arrival from 2011 to 2012. There is an increase in the number of arrival but only at 1.1 % compared to the other years which are in the rank of 10 -18% increase in number of arrival per year. Therefore, the purpose of this study is to predict the number of tourist arrival to Sabah. The study employs the modification of Fuzzy Delphi Method (FDM) and utilizes the flexibility of triangular fuzzy numbers (TFNs) as well as fuzzy averaging to deal with the yearly inconsistency numbers of visitor's arrival. Then, the trio levels of alpha (Į)-cut was used via linguistic variables to assess the confidence of decision made and to overcome the uncertainty of the input data sets. The analysis was carried out using fully data sets obtained from the official website of Sabah tourism board. Results show that our proposed forecasting approach offers a new dimension technique as compared to the traditional statistical method. It also derived more confident decision and precision forecast for Sabah tourism authority planning purposes.
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