TY  - JOUR
AB  - Purpose With the emerging technologies, collecting and processing data about the behaviors of customers or employees in a specific location has become possible. The purpose of this paper is to evaluate existing data collection technologies.Design/methodology/approach Technology evaluation problem is handled as a multi-criteria decision-making (MCDM) problem. In this manner, a decision model containing four criteria and eight sub-criteria and four alternatives are formed. The problem is solved using hesitant analytic hierarchy process (AHP) and trapezoidal fuzzy numbers (TrFN).Findings The results show that the most important sub-criteria are: accuracy, quantity, ıntrospective and cost. Decision makers’ evaluate for alternatives, namely wireless fidelity (WiFi), camera, radio-frequency identification and Bluetooth. The best alternative is found as Bluetooth which is followed by WiFi and Camera.Research limitations/implications Technology evaluation problem, just like many other MCDM problems are solved using expert evaluations. Thus, the generalizability of the findings is low.Originality/value In this paper, technology selection problem has been handled using hesitant AHP for the first time. In addition, the original methodology is extended by using TrFN to represent the expert evaluations in a better way.
VL  - 31
IS  - 4
SN  - 1741-0398
DO  - 10.1108/JEIM-02-2018-0035
UR  - https://doi.org/10.1108/JEIM-02-2018-0035
AU  - Dogan Onur
AU  - Öztaysi Basar
PY  - 2018
Y1  - 2018/01/01
TI  - In-store behavioral analytics technology selection using fuzzy decision making
T2  - Journal of Enterprise Information Management
PB  - Emerald Publishing Limited
SP  - 612
EP  - 630
Y2  - 2024/09/19
ER  -