Communicated by W. SprößigThe purpose of this paper is to introduce a family of q-Szász-Mirakjan-Kantorovich type positive linear operators that are generated by Dunkl's generalization of the exponential function. We present approximation properties with the help of well-known Korovkin's theorem and determine the rate of convergence in terms of classical modulus of continuity, the class of Lipschitz functions, Peetre's K-functional, and the second-order modulus of continuity. Furthermore, we obtain the approximation results for bivariate q-Szász-Mirakjan-Kantorovich type operators that are also generated by the aforementioned Dunkl generalization of the exponential function. Keywords: basic (or q-) integers; basic (or q-) hypergeometric functions; basic (or q-) exponential functions; q-Dunkl's analogue; Szász operator; q-Szász-Mirakjan-Kantorovich operator; rate of convergence; modulus of continuity; Peetre's K-functionalDuring the past two decades or so, applications of basic (or q-) calculus emerged as a new area in the field of approximation theory. Lupaş [3] was the first who (in the year 1987) introduced a q-analogue of the well-known Bernstein polynomials in (1.1) and investigated their approximating and shape-preserving properties. In the year 1997, Phillips [4] considered another q-analogue of the classical Bernstein polynomials. Later on, many authors introduced q-generalizations of various operators and investigated several approximation and other interesting properties in each case (see, for example, [5-13] and [14]).We begin our present sequel to some of the aforementioned investigations by a number of basic definitions and concept details of the q-calculus, which are used in this paper.In this section, we derive the Korovkin type and weighted Korovkin type approximation properties for the q-operator Q K n,q .f ; x/ defined by (2.1). Korovkin-type theorems furnish simple and useful tools for ascertaining whether a given sequence of positive linear operators, acting on some given function space, is an approximation process.