No abstract

Purpose Ambidexterity is the source of organizational sustainable development and long-term success. However, understanding the role of individual ambidexterity in organizations remains underdeveloped. Recently, scholars have increasingly emphasized the importance of individual ambidexterity, calling for more research on the topic. This study aims to explore the factors influencing individual ambidexterity. It proposed that goal orientation would be related to individual ambidexterity, and perceived cooperative goal interdependence and constructive controversy would play moderating roles in this relationship. Design/methodology/approach The paper opted for a survey study. Questionnaires were distributed to enterprise managers from a part-time MBA program at a university located in Beijing, China. They were also asked to bring copies to their colleagues, so they could fill them out. The authors obtained 229 valid questionnaires and used hierarchical regression analysis to test the relationships. Findings The results revealed that both learning goal orientation and performance goal orientation were significantly and positively related to individual ambidexterity. Perceived cooperative goal interdependence and constructive controversy positively moderated the relationship between learning goal orientation/ performance goal orientation and individual ambidexterity. Practical implications The paper provides beneficial suggestions for both managers and employees. It offers a reference for managers regarding how to promote employee ambidexterity. It also provides suggestions for employee career development. Originality/value The paper explored the factors influencing ambidextrous activities at the individual level, a very scare approach in extant studies. It also constructed a systematic process mechanism of individual ambidexterity, integrating both internal and external factors.

This paper presents a temporal phase-unwrapping method for fringe projection profilometry. With it, a sequence of phase-shifting fringe patterns is projected onto the measured object for getting the wrapped phase map and achieving a high measurement resolution, and an additional sequence corresponding to Chebyshev polynomials is used for determining their fringe orders. For effectuating this method, we deduce an algorithm by use of the recursive property of Chebyshev polynomials. This algorithm, combined with a correction operation in the least-squares sense, allows us to accurately estimate the fringe orders in the presence of noise. Experimental results demonstrate the proposed method to be effective in restoring the absolute phase maps of fringe patterns.

In fringe projection profilometry, the original purpose of projecting multi-frequency fringe patterns is to determine fringe orders automatically, thus unwrapping the measured phase maps. This paper presents that using the same patterns, simultaneously, allows us to correct the effects of projector nonlinearity on the measured results. As is well known, the projector nonlinearity decreases the measurement accuracies by inducing ripple-like artifacts on the measured phase maps; and, theoretical analysis reveals that these artifacts, depending on the number of phase shifts, have multiplied frequencies higher than the fringe frequencies. Based on this fact, we deduce an error function for modeling the phase artifacts and then suggest an algorithm estimating the function coefficients from a couple of phase maps of fringe patterns having different frequencies. As a result, subtracting out the estimated phase errors yields the accurate phase maps with the effects of the projector nonlinearity on them being suppressed significantly. Experiment results demonstrated that this proposed method offers some advantages over others, such as working without a photometric calibration, being applicable when the projector nonlinearity varies over time, and having satisfied efficiency in implementation.

In fringe projection profilometry, the purpose of using two- or multi-frequency fringe patterns is to unwrap the measured phase maps temporally. Using the same patterns, this paper presents a least squares algorithm for, simultaneously with phase-unwrapping, eliminating the influences of fringe harmonics induced by various adverse factors. It is demonstrated that, for most of the points over the measured surface, projecting two sequences of phase-shifting fringe patterns having different frequencies enables providing sufficiently many equations for determining the coefficient of a high order fringe harmonic. As a result, solving these equations in the least squares sense results in a phase map having higher accuracy than that depending only on the fringe patterns of a single frequency. For the other few points which have special phases related to the two frequencies, this system of equations becomes under-determined. For coping with this case, this paper suggests an interpolation-based solution which has a low sensitivity to the variations of reflectivity and slope of the measured surface. Simulation and experimental results verify that the proposed method significantly suppresses the ripple-like artifacts in phase maps induced by fringe harmonics without capturing extra many fringe patterns or correcting the non-sinusoidal profiles of fringes. In addition, this method involves a quasi-pointwise operation, enabling correcting position-dependent phase errors and being helpful for protecting the edges and details of the measurement results from being blurred.