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AS users and builders of automobiles, we are so accustomed to thinking in terms of interchangeable manufacturing that we take it for granted even in the case of the aeroplane. It is true that for purposes of service and maintenance in the field, those aircraft parts which arc subject to replacement arc made strictly interchangeable. Aeroplane production, however, cannot follow to the same extent the system of interchangeable fabrication and assembly that is used in the automobile industry.

System usage and user satisfaction are widely accepted and used as surrogate measures of IS success. Past studies attempted to explore the relationship between system usage and user satisfaction but findings are mixed, inconclusive and misleading. The main objective of this research is to better understand and explain the nature and strength of the relationship between system usage and user satisfaction by resolving the existing inconsistencies in the IS research and to validate this relationship empirically as defined in Delone and McLean's IS success model.

“Meta‐analysis” as a research approach was adopted because of its suitability regarding the nature of the research and its capability of dealing with exploring relationships that may be obscured in other approaches to synthesize research findings. Meta‐analysis findings contributed towards better explaining the relationship between system usage and user satisfaction, the main objectives of this research.

This research examines critically the past findings and resolves the existing inconsistencies. The meta‐analysis findings explain that there exists a significant positive relationship between “system usage” and “user satisfaction” (i.e. r=0.2555) although not very strong. This research empirically validates this relationship that has already been proposed by Delone and McLean in their IS success model. Provides a guide for future research to explore the mediating variables that might affect the relationship between system usage and user satisfaction.

This research better explains the relationship between system usage and user satisfaction by resolving contradictory findings in the past research and contributes to the existing body of knowledge relating to IS success.

Resource mobilization and technology adoption by small firms are mainly studied separately, although considering them together is crucial for understanding how resources are accessed and mobilized to address uncertainty. Moreover, the authors know little about how small firms pursue new opportunities in a constantly changing environment. The purpose of this study is to investigate how small firms adopt technologies to engage different stakeholders and facilitate the access and mobilization of key resources in the opportunity co-creation process.

This study applied a qualitative case study method and conducted 14 interviews with co-founders or top managers of five small firms in Iran.

The findings reveal how small firms adopt technologies to access and mobilize social, human, psychological and financial resources in a highly uncertain environment to co-create new opportunities.

First, the study applies a cross-sectional approach. Therefore, it does not capture longitudinal aspects that might impact resource mobilization and technology adoption over time. Second, the selected five case firms represent rather successful firms, each of which adopted different technologies to challenge the established structure of the market. That is, this study did not focus on unsuccessful cases that would enrich the theory further.

This study reveals how small firms adopt new technologies to mobilize resources and co-create opportunities in highly uncertain environments. It reveals that small firms employ technology adoption strategies to utilize operant resources and accelerate operand resource mobilization. Active learning plays a critical role in this process.

Extrinsic trauma to the orbit may cause a blowout or orbital fracture, which often requires surgery for reconstruction of the orbit and repositioning of the eyeball with an implant. Post-operative complications, however, are high with the most frequent cause of complications being a mismatch of the position and shape of the implant and fracture. These mismatches may be reduced by computed tomography (CT) based modeling and three-dimensional (3D) printed guide. Therefore, the aim of this study is to propose and evaluate a patient-specific guide to shape an orbital implant using 3D printing.

Using CT images of a patient, an orbital fracture can be modeled to design an implant guide for positioning and shaping of the surface and boundaries of the implant. The guide was manufactured using UV curable plastic at 0.032 mm resolution by a 3D printer. The accuracy of this method was evaluated by micro-CT scanning of the surgical guides and shaping implants.

The length and depth of the 3D model, press-compressed and decompressed implants were compared. The mean differences in length were 0.67 ± 0.38 mm, 0.63 ± 0.28 mm and 0.10 ± 0.10 mm, and the mean differences in depth were 0.64 ± 0.37 mm, 1.22 ± 0.56 mm and 0.57 ± 0.23 mm, respectively. Statistical evaluation was performed with a Bland-Altman plot.

This study suggests a patient-specific guide to shape an orbital implant using 3D printing and evaluate the guiding accuracy of the implant versus the planned model.