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Despite the growing scholarly interest in service innovation and its associated benefits for organizations, research into the barriers to developing new services remains scant. In addition, most of these studies have been mainly conducted at the firm level, failing to incorporate macro forces in the industry. To fill this gap, this study aims to investigate major industry trends as well as organizational attributes that affect organizations’ capability in designing innovative services.

A qualitative approach was used. In all, 21 semi-structured interviews with senior executives in different banks were conducted to collect data. Data were analyzed through thematic analysis.

The results of this study suggest that privatization, technological shortcomings, legislative inefficiencies and deposit orientation instead of market orientation were major industry trends that affect service innovation. Furthermore, ambiguity in knowledge management regimes, silo mentality and the absence of a collaborative organizational culture, growing need to focus on human capital and risk aversion were the main organizational attributes that should be addressed for effective service innovation.

Service innovation is a strategic asset for organizations. To effectively leverage the benefits, managers should have an end-to-end approach toward the subject. The findings of this study would inform managers of different obstacles in the development of new services from an organizational and industry-wide perspective. Based on the outputs of the interviews and a thorough review of the literature, managerial implications are presented.

This study is one of the few studies that explores service innovation challenges at both macro and micro levels of analysis, providing a more holistic view of the phenomenon in the context of service organizations.

The purpose of this study is to model steam condensing flows through steam turbine blades and find the most suitable condensation model to predict the condensation phenomenon.

To find the most suitable condensation model, five nucleation equations and four droplet growth equations are combined, and 20 cases are considered for modelling the wet steam flow through steam turbine blades. Finally, by the comparison between the numerical results and experiments, the most suitable case is proposed. To find out whether the proposed case is also valid for other boundary conditions and geometries, it is used to simulate wet steam flows in de Laval nozzles.

The results indicate that among all the cases, combining the Hale nucleation equation with the Gyarmathy droplet growth equation results in the smallest error in the simulation of wet steam flows through steam turbine blades. Compared with experimental data, the proposed model’s relative error for the static pressure distribution on the blade suction and pressure sides is 2.7% and 2.3%, respectively, and for the liquid droplet radius distribution it totals to 1%. This case is also reliable for simulating condensing steam flows in de Laval nozzles.

The selection of an appropriate condensation model plays a vital role in the simulation of wet steam flows. Considering that the results of numerical studies on condensation models in recent years have not been completely consistent with the experiments and that there are still uncertainties in this field, further studies aiming to improve condensation models are of particular importance. As condensation models play an important role in simulating the condensation phenomenon, this research can help other researchers to better understand the purpose and importance of choosing a suitable condensation model in improving the results. This study is a significant step to improve the existing condensation models and it can help other researchers to gain a revealing insight into choosing an appropriate condensation model for their simulations.