for unique approaches. Dolnicar (2013) offered certain schemes for measurement in the social sciences to draw
clear conclusions about various measurement challenges. Developing good survey questions is crucially
important and precisely depend on defining what is being measured. For most measurements, experts argue
for the requests of a good definition of the goals, however unable to provide helpful guidelines as how to build
the definition that conforms with the criteria stated. Theoretical meaning of factors is usually discussed, for
instance Bagozzi (2011) stated the ambiguity, vagueness, of factors. Dolnicar (2013) argues that good
definition of criteria had better not be vague, imprecise, ambiguous, or unclear. The criteria must be obviously
understood by the respondents who should agree on their meaning. When service marks are considered, if net
definition is not allowed, will increase the uncertainty of decision-making in providing information. This is
considered as the uncertain information, for reducing the effects of uncertain information, the intuitionistic
fuzzy sets can be presented by considering the membership degrees (Mi et al., 2019) to reduce the ambiguity
and vagueness. Yager (2017) presented the intuitionistic fuzzy sets to overcome the dilemma and develops the
degree of flexibility in representing the information preferred. Vetschera (2017) stated that in decision-making
problems determining the weights of criteria is the primary concern. In this context, analytic hierarchy process
(AHP) is an appropriate method Abdi & William (2010) and Ho & Ma (2018) for weight-determination like
fuzzy AHP, fuzzy TOPSIS and fuzzy VIKOR approaches. The economic globalization brought economic
integration of the world, the growth of services continue that becomes fast and steadily, is a global strategy of
comprehensive industries (Meimand et al., 2017). For instance, VIKOR and TOPSIS approaches are practical
methods to solve decision making problems, specifically in the condition where the assessment of options over
buying criteria are conflicting. The fuzzy extensions of TOPSIS, VIKOR and AHP play an important role in
the intuitionistic and hesitant fuzzy information, and linguistic information with hesitation (Liao et al., 2015)
for solving the decision-making problem.
On the other hand, the qualitative research approaches can be carried out for the intent of apprising the
enhancement of questionnaires for the inventory management solely. Nowadays, many surveys are conducted
online with the questionnaires time taking 15 min on average to complete it. Surveys taking longer than 15
min might need less randomness or include systematic errors related with fatigue or boredom (Hoerger, 2010;
Brosnan et al., 2018). Fan & Yan (2010) investigated short surveys and found out that they are less expensive
and have several advantages over long surveys, they may return higher completion rates. Brosnan et al. (2018)
proposed a statistical method for the evaluation and analysis of surveys, which is built on principal components
analysis (PCA) for the elimination of redundant information and items with the loss of minimum information
and optimal information gain. Abdi & Williams (2010) also studied the PCA to solve problems for determining
the principal components. Yet, traditional PCA is not able to recognize the differences of items redundant and
to provide optimum information for survey items. PCA suggests potential for reducing survey superfluous
items. Brosnan et al. (2018) stated that no item is superfluous if each major component exhibits significant
variability. Specialized sampling techniques are employed to attain balance between costs and statistical
accuracy. Kolenikov (2010) stated that data collection in large-scale statistical surveys involves data clustering,
data stratification, multiple and unequal selection possibilities, and sampling with or without displacement.
Survey-sample designers use stratification to increase efficiency, protect against poorly unbalanced samples,
to optimize the overall survey cost. Sampling weights are used for guaranteeing the unbiased estimation which
are adjusted so that the weighted totals of poststratification variables fit the population totals. Nevertheless, a
precise accounting for a complex survey design is extremely cumbersome.
The statistical method aims to decrease survey size, to solve the managerial problems of acquiring optimal
information with minimal cost involving data collection across multiple points in time to improve data quality,
both longitudinal and repeat cross-sectional. The PCA is a standard method for reducing a set of survey items
(Boyes et al., 2009). Cervellera et al. (2007) presented multivariate adaptive regression splines in high-
dimensional inventory forecasting of water reservoir problem using stochastic dynamic programming, and
orthogonal array (OA) experimental designs. They also studied the implementation of artificial neural
networks (ANNs) as an alternative approach and found out that ANNs performed better with the OA-Latin
hypercube designs. Ambreen et al. (2019) studied to find out disparate stock administration systems of
assembling organizations in Pakistan to investigate the inventory management procedures functionally in the
country. The problems of stock administration determined in this study are poor production schedule, spillover,
stockout circumstance, high lead time and mishandling of records, it was determined that these parameters
have significant influence on the effectiveness of inventory management system. Otchere et al. (2016)