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This study aims to investigate the correlation between build orientation characteristics, part porosity and mechanical properties of the fused filament fabrication (FFF) process to provide insight into pore formation mechanisms and to establish guidelines for optimal process configurations.

Micro computed tomography and metallographic sections provide the basis for a correlation between porosity and extrusion path. Using the correlations found in this study, the way to improve printing strategies and filament properties can be deduced directly from an analysis of the print path and the final influence on mechanical performance.

With metal-FFF 3D printing technology, near-dense parts (0.5 Vol.%) can be fabricated. The pore architecture is strongly connected to the build direction and print strategy with parallel, elongated pore channels. Mechanical values of FFF samples are similar to metal injection-molded (MIM) parts, except the elongation to fracture. The high difference of yield strength of sintered samples compared to laser powder bed fusion (LPBF) samples can be attributed to the finer grains and a Hall–Petch hardening effect. The conclusions derived from this study are that the presented process is capable of producing comparable part qualities compared to MIM samples, with higher build rates in comparison to LPBF processes.

316L stainless steel was successfully manufactured via FFF. This paper also addresses the effects of scanning strategies on the resulting porosity and proposes improvements to reduce residual porosity, thus increasing the mechanical performance in the future.

This study aims at exploring users' motives to form attachments within the social Q&A community context and identifying the differences between active users and lurkers when building emotional attachments. By utilizing the media system dependency (MSD) theory, this study investigates into the driving factors of dependency relations (understanding, orientation and play) to user attachments (i.e. attachment to the social Q&A community, attachment to content creators).

The research model is empirically validated by an online questionnaire among users of a social Q&A community. Deriving from the actual behavioral data, the authors divide 262 valid responses into 157 active users and 105 lurkers according to whether they post or not. The partial least squares (PLS) method is exploited to analyze the relationships in the model. In addition, the PLS-based multi-group analysis is conducted for comparing active users and lurkers.

The empirical results confirm that dependency relations (understanding, orientation and play) significantly influence user attachments. Multi-group analysis suggests that the effect of understanding dependency relations on attachment to content creators is stronger for active users than for lurkers. However, the effect of orientation dependency relations on user attachment is significant for lurkers but not significant for active users.

This study enriches the knowledge of the MSD theory by extending it to the social Q&A community setting. Based on the MSD theory, the relationships between three sides of dependency relations and two types of user attachments are hypothesized in the research model. Besides, the impact of user heterogeneity in building user emotional attachment still lacks consideration. This study is one of the first in the field of comparison studies to compare active users and lurkers in such context, providing a novel contribution in understanding the motivations and emotional responses of different users.

The purpose of this paper is to investigate the effects of a firm’s service-dominant orientation on marketing and technological capabilities, and its performance. It outlines how a service-dominant orientation offers guidance for the development and deployment of ordinary capabilities, and indirectly affects performance. Additionally, it delineates how dynamic capabilities affect the impact of a service-dominant orientation on ordinary capabilities.

Partial least squares structural equation modeling drawing on data from 228 firms serves to assess hypotheses relating service-dominant orientation and dynamic capabilities with firm performance.

The results indicate that marketing and technological capabilities fully mediate the relationship between a firm’s service-dominant orientation and firm performance. Furthermore, the positive marginal effect of a firm’s service-dominant orientation on its marketing capabilities increases with the firm displaying a stronger service-dominant orientation. In addition, the positive effect of service-dominant orientation on marketing capabilities reduces the more the firm deploys dynamic capabilities.

Because of the cross-sectional sample, future studies could adopt longitudinal research designs to explore the impact of a service-dominant orientation on ordinary capabilities and performance, or investigate the applicability of the findings in other contexts.

The findings imply that implementing a service-dominant orientation can be beneficial for firms. However, because the impact of such an orientation weakens the greater a firm’s dynamic capabilities, managers need to be mindful of this trade-off.

The study is the first to establish a link between the dynamic capability view, originating from strategy research, and service-dominant logic, stemming from marketing thinking.

This paper aims to verify a new method for accurate part manufacturing using a 3D printer. In particular, the direction and position dependence of the printed results are to be verified within the building area. The results of the accomplished experiments are to be used for the computation of new printer adjustments.

Test cubes with a defined edge length were printed and measured afterwards. The test cubes were distributed thereby either over the entire building area or only for a small part of the building area. Next, the test cubes were measured and the differences between measured and desired values were used for adjustment of the printer parameter settings. Therefore, the “bleed compensation” settings were used.

The deviations depended strongly on the position in the building area of the printer. In dependence of the position and orientation, different deviations in the three dimensions of the printer coordinate system resulted. By a calibration of the printer parameters for a reduced part of the processed area, the print accuracy could be strongly increased. Afterward, the calibration the deviations could be reduced from 0.4 mm ±0.2 mm to under 0.04 mm ±0.03 mm.

The work shows the position and direction dependency of the 3D‐printer manufacturing accuracy. Furthermore, a calibration procedure for bleed compensation calibration is presented.

Focusing on social network services (SNS), the purpose of this paper is to propose a research model to investigate individuals’ SNS usage facilitators and inhibitors from the perspective of individuals’ media system dependency (MSD) and privacy concerns.

The research model will be tested with data collected from online users of Facebook. The survey yielded a total of 403 responses for the data analysis which was conducted by measurement and structural models.

The findings indicate that SNSs members strive for understanding, orientation, and play dependencies which facilitate their satisfaction and social presence, and subsequently fosters their continuance intention toward the SNS. In addition, the members’ privacy concerns decrease satisfaction and social presence online.

First, this study has contributed to the authors’ understanding of an individual’s SNS facilitators and inhibitors from the theoretical perspective (i.e. MSD theory and privacy concerns). Second, satisfaction is a strong antecedent of continuance intention and would dilute the effect of social presence on an individual’s SNS continuance intention.

The purpose of this study was to investigate the affective and cognitive dimensions of satisfaction that impact the buyer-supplier relationship (BSR) from the supplier's perspective and to consider satisfaction within the context of power-dependency theory.

Qualitative in-depth interviews were conducted with 20 Chinese apparel supply professionals who regularly interact with apparel buyers. Audio or video interviews were conducted via WeChat (the most popular social media platform in China).

A thematic analysis of the interview data revealed that both affective and cognitive dimensions of satisfaction impact the BSR. A model of supplier affective and cognitive satisfaction in a collaborative BSR was developed to illustrate the connections between the two dimensions.

Due to intense competition in the market, supplier satisfaction is essential for building relationships in the apparel industry. Existing studies have focused on satisfaction from the perspective of the buyer rather than the supplier because in a BSR, the buyer tends to hold more power. Moreover, research has primarily considered cognitive evaluations of satisfaction with the BSR. This study offers new insight on both cognitive and affective satisfaction from the perspective of suppliers within the context of power-dependency theory.

The continual growth of additive manufacturing has increased tremendously because of its versatility, flexibility and high customization of geometric structures. However, design hurdles are presented in understanding the relationship between the fabrication process and materials microstructure as it relates to the mechanical performance. The purpose of this paper is to investigate the role of build architecture and microstructure and the effects of load direction on the static response and mechanical properties of acrylonitrile butadiene styrene (ABS) specimens obtained via the fused deposition modeling (FDM) processing technique.

Among additive manufacturing processes, FDM is a prolific technology for manufacturing ABS. The blend of ABS combines strength, rigidity and toughness, all of which are desirable for the production of structural materials in rapid manufacturing applications. However, reported literature has varied widely on the mechanical performance due to the proprietary nature of the ABS material ratio, ultimately creating a design hurdle. While prior experimental studies have studied the mechanical response via uniaxial tension testing, this study has aimed to understand the mechanical response of ABS from the materials’ microstructural point of view. First, ABS specimen was fabricated via FDM using a defined build architecture. Next, the specimens were mechanically tested until failure. Then finally, the failure structures were microstructurally investigated. In this paper, the effects of microstructural evolution on the static mechanical response of various build architecture of ABS aimed at FDM manufacturing technique was analyzed.

The results show that the rastering orientation of 0/90 exhibited the highest tensile strength followed by fracture at its maximum load. However, the “45” bead direction of the ABS fibers displayed a cold-drawing behavior before rupture. The morphology analyses before and after tensile failure were characterized by a scanning electron microscopy (SEM) which highlighted the effects of bead geometry (layers) and areas of stress concentration such as interstitial voids in the material during build, ultimately compromising the structural integrity of the specimens.

The ability to control the constituents and microstructure of a material during fabrication is significant to improving and predicting the mechanical performance of structural additive manufacturing components. In this report, the effects of microstructure on the mechanical performance of FDM-fabricated ABS materials was discussed. Further investigations are planned in understanding the effects of ambient environmental conditions (such as moisture) on the ABS material pre- and post-fabrication.

The study provides valuable experimental data for the purpose of understanding the inter-dependency between build parameters and microstructure as it relates to the specimens exemplified strength. The results highlighted in this study are fundamental to the development of optimal design of strength and complex ultra-lightweight structure efficiency.

This study aims to introduce a novel approach in form of a comprehensive software suite to help understanding and optimizing the build orientation toward maximizing the fatigue lifetime of complex geometries. The objective is to find an optimized build orientation under a given in-service loading state, which brings on smoother surfaces in stressed regions, mitigated roughness-induced stress concentration and deferred crack initiation stage. The solution addresses scenarios that no post-build surface treatment can be applied.

To account for the surface topography, the staircase induced surface roughness is registered as a function of build angle using the white light interferometry characterization, based on which the stress concentration factor (k_t) is calculated. Thereafter, the developed module in “Fatlab toolbox” is used to find the optimum build angle, considering the integrated surface orientations and stress analysis under a given loading condition.

Surface topography creates local stress concentrations upon loading, directly influencing the fatigue lifetime. It is a well-established fact that the conditions of the staircase geometry and surface roughness affect the magnitude of the stress concentration upon loading, which is influenced by the build orientation of the component. The proposed solution suggests the best build orientation that mitigates staircase-related surface roughness.

The suggested numerical approach assists the designers with positioning of the part on the build plate to minimize the build orientation-induced surface roughness and improve the as-built fatigue lifetime of the component.

The purpose of this paper is to identify and rank different dimensions of strategic orientation and firm’s performance using the approach of interpretive structural modeling.

The study uses interpretative structural modeling and the MICMAC technique to establish a hierarchical relationship among different dimensions of entrepreneurial orientation and manufacturing performance of Indian SMEs.

The final outcome of interpretative structural modeling and the MICMAC analysis revealed a relationship between the variables under study along with the categorization of all in two different categories, depending upon their driving power and dependency, which decision-makers can also use while devising their strategy to improve performance.

To date, to the best of the authors’ knowledge, no significant contribution about such interrelationship was reported; therefore, this study is one of its types to fill this gap.

Conceptualizing trust alone or as the starting point for understanding both trust and distrust is insufficient. Therefore, this chapter focuses on the construction of phenotypic trustscapes and distrustscapes that permit an abstract exploration of the concepts of trust and distrust using societal and dyadic relationships and perceptions of the individual as the units of analysis. For theoretical understanding of trust and distrust, it uses social and evolutionary biologic multi-level theory. This chapter builds on the existing trust literature in three ways: (1) by triangulating on trust and distrust through the use of a number of research methodologies; (2) by placing trust and distrust in value orientation theory and models; and (3) by extricating trust and distrust from reciprocity constructs, and placing them into separate phenotypes: trustscapes and distrustscapes. These efforts show that both trust and distrust are naturally occurring phenomena, with one or the other predominant in specific contexts. The chapter includes scenarios in Japan, Bulgaria, and Indonesia to demonstrate how micro- and macro-level examples of trustscapes and distrustscapes function.