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Marketing orientation can be described as a culture in which organizations strive to create superior value for their customers (and superior performance for the business) by focusing on customer needs and long‐term profitability. Some studies have found that firms with a high degree of marketing orientation experience improved performance; othershave found mixed or non‐significant results. While all firms are strongly influenced by their external environment, small to medium sized firms (SMEs) may be even more influenced by their own internal culture. The smaller firms are less bureaucratic and more a reflection of their own specific leadership and internal circumstances. The marketing orientation of these firms may in part be determined by such factors as the scope of the business or the managerial style of the president. This study examines the market orientation of SMEs relative to several characteristics of the organization and the managerial style and background of the company president. In addition, marketing orientation is examined relative to company performance in terms of both change in sales and change in profits. The results of this study confirm some earlier research on marketing orientation and provide some new insights and questions on this important strategic dimension.

This paper aims to present a multi-axis additive robot manufacturing system (ARMS) and demonstrate its beneficial capabilities.

ARMS was constructed around two robot arms and a fused filament fabrication (FFF) extruder. Quantitative experiments are conducted to investigate the effect of printing at different orientations with respect to gravity, the effect of dynamically changing build orientation with respect to the build tray when printing overhanging features, the effect of printing curved parts using curved, conformal layers. These capabilities are combined to print an integrated demonstrator showing potential practical benefits of the system.

Orientation with respect to gravity has no effect on print quality; dynamically changing build orientation allows overhangs up to 90° to be cleanly printed without support structures; printing an arch with conformal layers significantly increases its strength compared to conventional printing.

The challenge of automatic slicing algorithms has not been addressed for multi-axis printing. It is shown that ARMS could eventually enable printing of fully-functional prototypes with embedded components.

This work is the first to prove that the surface roughness of an FFF part is independent of print orientation with respect to gravity. The use of two arms creates a novel system with more degrees of freedom than existing multi-axis printers, enabling studies on printing orientation relationships and printing around inserts. It also adds to the emerging body of multi-axis literature by verifying that curved layers improve the strength of an arch which is steeply curved and printed with the nozzle remaining normal to the curvature.

Presents an on‐line calibration methodology for robot relative positioning inaccuracy. This methodology eliminates the need for time‐consuming off‐line calibrations relying on accurate models and complicated procedures. To realize this methodology, a vision system, a 3D force/torque sensor, and control strategies involving Neural Networks (NNs) were incorporated with an industrial robot.

The purpose of this paper is to propose an on-line iterative compensation method combining with a feed-forward compensation method to enhance the assembly accuracy of a metrology-integrated robot system (MIRS).

By the integration of a six degrees of freedom (6DoF) measurement system (T-Mac), the robot’ movement can be tracked with real-time measurement. With the on-line measured data, the proposed iterative compensation for absolute positioning and the feed-forward compensation for relative linear motion are integrated into the assembly process to improve the assembly accuracy.

It is found that the MIRS exhibits good performance in both accuracy and efficiency with the application of the proposed compensation method. With the proposed assembly process, a component can be automatically aligned to the target in seconds, and the assembly error can be decreased to 0.021 mm for position and 0.008° for orientation on average.

This paper presents a 6DoF MIRS for high-precision assembly. Based on the system, a novel on-line compensation method is proposed to enhance the assembly accuracy. In this paper, the assembly accuracy and the corresponding distance parameter are given by a series of experiments as reference for assembly applications.

In additive manufacturing processes such as stereolithography and fused deposition modeling, optimal part orientation is pivotal in improving the quality of the part. This paper aims to propose an automatic and optimal part orientation system to improve part quality/accuracy in additive manufacturing, which minimizes the production time and hence reduces the cost of product.

The developed system reads STEP AP 203 E2 file from CATIA V5 and generates data extraction output file by extracting the relevant geometrical and topological data using an object-oriented approach. Afterwards, the algorithms and rules are developed to extract and recognize feature faces along with their geometric properties such as face type, face area, parallelism and perpendicularity. The feature data obtained that are used to develop feasible part orientations depend on the maximization of G&DT for all part faces. The automatic slicing is then achieved by creating slicing file using CATVBA editor inside CATIA V5.

After slicing, output data are exported in Excel data sheet to calculate the total additive volume of the part. The building time of the part is then calculated on the basis of machine parameters, part geometry, part height, layer thickness and amount of support volume needed to build the part. The optimal orientation of the part is achieved by maximization of G&DT value and minimization of production time. The proposed methodology is tested using an illustrative example.

Although lot of approaches have been discussed in the literature, automation of setup planning/orientation of the part in additive manufacturing is not fully attained. Therefore, the article focuses on the automation of setup planning by adding automatic feature extraction and recognition module along with the automatic slicing during setup planning. Moreover, the significance of adding feature extraction and recognition module is to achieve best accuracy for form feature faces and hence reduction in post processing machining/finishing operations.

This paper aims to present the classification, representation and extraction of adhesively bonded assembly features (ABAFs) from the computer-aided design (CAD) model.

The ABAFs are represented as a set of faces with a characteristic arrangement among the faces among parts in proximity suitable for adhesive bonding. The characteristics combination of the faying surfaces and their topological relationships help in classification of ABAFs. The ABAFs are classified into elementary and compound types based on the number of assembly features exist at the joint location.

A set of algorithms is developed to extract and identify the ABAFs from CAD model. Typical automotive and aerospace CAD assembly models have been used to illustrate and validate the proposed approach.

New classification and extraction methods for ABAFs are proposed, which are useful for variant design.

The purpose of this paper is to explore the role of motivation to work in explaining workers’ pay flexibility – as measured by their reservation wage ratio – across the lifespan. This is important since pay inflexibility may undermine mature age workers’ retention at the workforce.

Relying on self-determination theory the paper broadens the role of “motivation to work” from the overall work valence an individual attaches to work to the underlying work values (i.e. the perceived value of work for its intrinsic vs extrinsic outcomes) and work motives (i.e. the underlying autonomous vs controlled reasons regulating one's work participation). The authors conducted hierarchical linear regression analyses on a sample of 1,577 Belgian workers to explore how individuals’ work values and work motives, in addition to work valence, shape workers’ reservation wage ratios across the lifespan.

Results indicate that work valence and holding relative intrinsic work values and relative autonomous work motives are associated with lower reservation wage ratios. Finally, age moderates all three relationships. Whereas the negative impact of work valence and relative autonomous work motives is stronger at older age, the negative impact of relative intrinsic work values is stronger at younger age.

Motivational predictors are differently related to reservation wage ratios across the lifespan.

By fostering overall work valence and autonomous work motivation practitioners can exert influence on mature age workers’ pay flexibility.

This study extends prior research on pay flexibility by focussing on the content of motivation to work (i.e. work values, work motives) and its role across the lifespan.

Marketing orientation refers to a culture in which organizations strive to create superior value for their customers (and superior performance for the business) by focusing on customer needs and long-term profitability. Some studies have found that firms with a high degree of marketing orientation experience improved performance; others have found mixed or nonsignificant results. The marketing orientation of small businesses has not been thoroughly investigated, however. This study of more than 200 small business CEOs examines the marketing orientation levels of small to medium-sized firms (SMEs) as well as the impact of various internal variables (sales/profit performance, company characteristics, and CEO characteristics) on marketing orientation levels. The results confirm some earlier research on marketing orientation and provide new insights into this important strategic dimension.

Nondestructive testing based on cooperative twin-robot technology is a significant issue for curved-surface inspection. To achieve this purpose, this paper aims to present a kinematic constraint relation method relative to two cooperative robots.

The transformation relation of the twin-robot base frame can be determined by driving the two robots for a series of handclasp operations on three points that are noncollinear in space. The transformation relation is used to solve the cooperative motion problem of the twin-robot system. Cooperative motions are divided into coupled and combined synchronous motions on the basis of the testing tasks. The position and orientation constraints for the two motion modes are also explored.

Representative experiments between two industrial robots are conducted to validate the theoretical developments in kinematic constraint analysis. Artificial defects are clearly visible in the C-scan results, thereby verifying the validity and the effectiveness of the proposed method.

The transformation relation of the twin-robot base frame is built under a series of handclasp operations. The position and orientation constraints for the coupled and combined synchronous motions are explored. Theoretical foundations of trajectory planning method for the transmitting and receiving transducers of the cooperative twin-robot system are presented.

This paper presents algorithms for computing the angular velocities of the bodies of a multibody system. A multibody system is any collection of connected bodies. The focus is upon multibody systems consisting of spherically pinned rigid bodies which do not form closed loops. Simple formulae are presented for computing the angular velocities. It is shown that once the angular velocities are known the entire kinematical description and hence, the dynamics of the system, may be developed routinely and in automated fashion. Extension to more general multibody systems follows without conceptual change in the procedures.