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This paper analyzes the responsiveness of different ownership forms to changing business environment by drawing on Turkish experience.

This study is conducted in two stages. In the first stage, the paper uses Malmquist index theory, to estimate the total factor productivity change, technological change, efficiency change, pure efficiency change and scale efficiency change indexes for the Turkish banks. In the second stage, utilizing the generalized least regression format, it examines the significance of the productivity differences between different ownership forms after controlling for size and changes in the macro‐economy.

Under the “traditional banking definition,” productivity growth during the period was 1.2 percent for state banks, 3.9 percent for private banks and 14.2 percent for foreign banks. Under the “non‐traditional banking definition,” the productivity gain over the period was 2.9 percent for state banks, 9.5 percent for private banks and 17.0 percent for foreign banks.

The future research can extend the data set and may include more explanatory factors to characterize the bank forms that record the fastest productivity growth.

Private ownership appears to be more adaptive to new environment. Foreign banks can be used as a policy instrument to induce efficiency and productivity improvements in local banking industries. Liberalization of markets through competition boosts economic performance.

In analyzing impacts of reforms, the significance of inter‐temporal change should be tested to better guide regulators, investors and managers.

Adolescence and emerging adulthood are key developmental stages with high risk for trauma exposure and the development of mental and substance-use disorders (SUDs). This study aims to compare the clinical profiles of adolescents (aged 12–17 years) and emerging adults (aged 18–25 years) presenting for treatment of posttraumatic stress disorder (PTSD) and SUD.

Data was collected from the baseline assessment of individuals (n = 55) taking part in a randomized controlled trial examining the efficacy of an integrated psychological therapy for co-occurring PTSD and SUDs (PTSD+SUD) in young people.

Both age groups demonstrated complex and severe clinical profiles, including high-frequency trauma exposure, and very poor mental health reflected on measures of PTSD, SUD, suicidality and domains of social, emotional, behavioral and family functioning. There were few differences in clinical characteristics between the two groups.

Similarity between the two groups suggests that the complex problems seen in emerging adults with PTSD + SUD are likely to have had their onset in adolescence or earlier and to have been present for several years by the time individuals present for treatment.

To the best of the authors’ knowledge, this is the first study to compare the demographic and clinical profiles of adolescents and emerging adults with PTSD + SUD. These findings yield important implications for practice and policy for this vulnerable group. Evidence-based prevention and early intervention approaches and access to care are critical. Alongside trauma-focused treatment, there is a critical need for integrated, trauma-informed approaches specifically tailored to young people with PTSD + SUD.

While digital transformation holds immense promise, organizations often fail to realize its benefits. This study aims to address how policies for digital transformation benefits realization are translated into practice.

The authors apply a qualitative, comparative case study of two large, public-sector health care organizations in Sweden. Through document and interview data, the authors analyze the process of translation.

The study finds that practice variation is primarily caused by two types of decoupling: policy-practice and means-ends. Contrary to previous studies, coercion in policy compliance is not found to decrease practice variation.

The limitations primarily stem from the empirical selection of two large public health-care organizations in Sweden, affecting the study’s generalizability. Reducing practice variation is more effectively achieved through goal alignment than coercion, leading to implications for the design of governance and control.

Policymakers should, instead of focusing on control-related compliance, work to align organizational objectives and policies to decrease practice variation for successful benefits realization.

The study contributes to better benefits realization of digital transformation initiatives in health care. As such, the authors contribute to a better functioning and more transformative health care in times of increased demand and decreased supply of health-care services.

The study challenges conventional wisdom by identifying that coercion is less effective than goal alignment in reducing practice variation, thereby enhancing the understanding of policy implementation dynamics in health-care settings.

This study analyzes the impact of exchange rate volatility (ERV) on inbound tourist arrivals from four ASEAN countries namely Indonesia, the Philippines, Singapore, and Thailand during 1970–2017. Volatility in the exchange rates between the tourist currency and ringgit Malaysia is measured using the Generalized Autoregressive Conditional Heteroskedasticity model. The results from Autoregressive Distributed Lagged models indicate that ERV has no significant impact on tourist arrivals from ASEAN to Malaysia. This implies that tourists from these countries may not be sensitive to ERV when choosing Malaysia as their travel destination. There are two possible explanations for the results. First, Malaysian ringgit has been depreciating against major currencies and regional currencies in recent years, which makes ringgit relatively cheaper than other ASEAN currencies. Second, the empirical results of the study support the argument that ERV has a more serious impact on tourist spending compared to tourist arrivals.

In recent years, additive manufacturing (AM) has started to be used for manufacturing real functional parts and assemblies for critical applications in aerospace, automotive, and machinery industries. Most complex or assembled parts require internal features (IF) such as holes, channels, slots, or guides for locational and mating requirements. Therefore, it is critical to understand and compare the structural and mechanical properties of additively manufactured and conventionally machined IFs.

In this study, mechanical and microstructural properties of Inconel 718 (Inc718) alloy internal features, manufactured either as-built with AM or machining of additively manufactured (AMed) part thereafter were investigated.

The results showed that the average ultimate tensile strength (UTS) of additively manufactured center internal feature (AM-IF) is almost analogous to the machined internal feature (M-IF). However, the yield strength of M-IF is greater than that of AM-IF due the greater surface roughness of the internal feature in AM-IF, which is deemed to surpass the effect of microstructure on the mechanical performance. The results of digital image correlation (DIC) analysis suggest that AM-IF and M-IF conditions have similar strain values under the same stress levels but the specimens with as built IF have a more locally ductile region around their IF, which is confirmed by hardness test results. But this does not change global elongation behavior. The microstructural evolution starting from as-built (AB) and heat-treated (HT) samples to specimens with IF are examined. The microstructure of HT specimens has bimodal grain structure with d phase while the AB specimens display a very fine dendritic microstructure with the presence of carbides. Although they both have close values, machined specimens have a higher frequency of finer grains based on SEM images.

It was shown that the concurrent creation of the IF during AM can provide a final part with a preserved ultimate tensile strength and elongation but a decreased yield strength. The variation in UTS of AM-IF increases due to the surface roughness near the internal feature as compared to smooth internal surfaces in M-IF. Hence, the outcomes of this study are believed to be valuable for the industry in terms of determining the appropriate production strategy of parts with IF using AM and postprocessing processes.

Easily employable quantitative supply chain complexity (SCC) measures considering the significant dimensions of complexity as well as the drivers that represent those dimensions are limited in the literature. The purpose of this paper is to propose an integrated interpretive structural modeling (ISM) and a graph-theoretic approach to quantify SCC by a single numerical index considering the interdependence and the inheritance of the SCC drivers.

In total, 18 SCC drivers identified from the literature are clustered according to the significant dimensions of complexity. The interdependencies established through ISM and inheritance values of SCC drivers are mapped into a Variable Permanent Matrix (VPM). The permanent function of this VPM is then computed and the resulting single numerical index is the measure of SCC.

A scale is proposed by computing the minimum and maximum threshold values of SCC with the help of expert opinions of the Indian automotive industry. The complexity of commercial and passenger vehicle sectors within the automotive industry is measured and compared using the proposed scale. From the results, it is identified that the number of suppliers, increase in spare-parts due to shortened product life-cycle and demand uncertainties increase the SCC of the passenger vehicle sector, while number of parts, products and processes, variety of products and process and unreliability of suppliers increase the complexity of the commercial vehicle sector. The result indicates that various SCC drivers have a different impact on determining the SCC level of these two sectors.

The authors propose an integrated method that can be readily applied to measure and quantify SCC considering the significant dimensions of complexity as well as the interdependence and the inheritance of the SCC drivers that contribute to those dimensions. This index further helps to compare the complexity of the supply chain which varies between industries.

The purpose of this paper is to investigate the interactions among enterprise resource planning (ERP) practices, supply chain orientation (SCO), and operational performance (OPER) by forming a macro perspective based on a scientific foundation powered by a resource-based view.

Exploratory and confirmatory factor analyses were used to verify the underlying dimensions of SCO and ERP practices. The covariance-based structural equation modeling was employed to test the direct and indirect effects of SCO and ERP practices constructs on OPER.

Results revealed that SCO has significant and positive effects on OPER, whereas ERP practices do not. Moreover, the indirect effect of ERP practices with the mediating effects of SCO is stronger than their direct effects. In addition, the origin of the ERP practices is found to be an important critical success factor.

Although much research has investigated the direct effect of ERP practices on performance, this study points out the importance of SCO in observing the stronger impacts of ERP practices.

The purpose of this paper is to evaluate and rank the success attributes and success factors of the construction organisations.

The viewpoints of the experts engaged in Indian construction industry were used to apply factor analysis and fuzzy preference relation with the help of a questionnaire survey.

The findings indicate that project factor is the most important factor, whereas favourable market and marketing team is the least important factor. Among the success attributes, the availability of qualified staff is the most important attribute, and health and safety management plan is the least important attribute.

Findings of this study are based on the viewpoint of the experts of construction organisations engaged in building projects in India.

The study can be used as a yardstick for the top management of construction organisations to manage their resources efficiently and to develop a strategy to be successful in this business.

Indian construction industry provides direct and indirect employment to the people of India. Hence, the success of construction organisation will contribute to the development of the society and ultimately the nation.

In the earlier studies, researchers have used various statistical tools to identify and evaluate the alternatives for the success factors of construction organisations, but very few of them have tried to assign weights to those alternatives. The simple ranking of alternatives using various statistical analyses, such as mean and standard deviation, relative importance index, etc., is not much useful unless their relative weights are known. With the help of the present study, the authors have tried to overcome the shortcomings of the previous research works.

This paper aims to discuss the barriers to preventative breast cancer screening (BCS) among Muslim Syrian refugee women in a Western Canadian Prairie city.

Situated within a larger mixed-method study aimed at identifying barriers and facilitators to breast cancer (BC) preventative practices, the authors interviewed three key informants to get an in-depth understanding of the cultural, religious and social factors affecting knowledge of BC and BCS practices among Muslim Syrian refugee women.

Qualitative findings confirm quantitative results revealing that knowledge about BC and cultural and religious barriers on gender might translate into poor health outcomes for Muslim Syrian refugee women in a Western Canadian city.

This research has limitations related to the sample size and the lack of generalizability to all refugee women. Results indicate the need to develop culturally tailored intervention programs to increase breast awareness and participation in breast-self-examination, clinical breast examination and mammography. The study has implications for health-care policy. Muslim Syrian refugee women need to be educated about BC upon arrival in Canada to counteract low participation rates, promote positive health outcomes and decrease potential costs to the health-care system.

Evidence on Muslim Syrian refugee women’s knowledge and beliefs on BC is sparse. This study addressed this gap by documenting a lack of knowledge and barriers to BCS among Muslim Syrian refugee women.

The purpose of this paper is to find the answers of the following question: what are the barriers to integrating displaced populations into labor markets and what are possible steps to overcome them?

This paper draws on government statistics, published reports and independent research that the author conducted in Turkey regarding the crisis in Syria from 2016 to 2018.

A reactionary government policy toward Syrian refugees lacks an overarching rights-based approach that includes the participation of all stakeholders and considers local dynamics. This results in a bleak prospect for enhancing the livelihood security of Syrian refugees and vulnerable members of host communities in Turkey. An alternative approach leveraging opportunities for synergies between refugee and host communities is proposed.

This piece proposes an original framework for integrating displaced populations into labor markets through the acronym CLEAR: certainty of status, language training, education opportunities, aid as an investment and the right to work.