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The aim of this study is to analyze Turkey's blood collection efficiency at the regional level between 2018 and 2021 and discuss managerial implications.

The authors utilize data envelopment analysis (DEA) to evaluate the efficiency scores of the 18 regions for which the Turkish Red Crescent is responsible. The data set is obtained from the General Directorate of Blood Services in the Turkish Red Crescent.

The results reveal that the efficient regions over the years did not substantially change, and regions that were consistently efficient for a four-year period are identified. Another finding is that COVID-19 did not affect the blood collection efficiency of the regions. Moreover, the findings illustrate that concentrating on the operations would contribute more to the blood collection efficiency than changing the scale size. Furthermore, the authors observe that the service population is by far the most important variable in determining the efficiency of the regions.

In this study, the authors present a multi-dimensional perspective on the performance evaluation of blood collection operations. In addition, the authors present blood bank managers' feedback on the performance evaluation model, outlining managerial implications. Furthermore, the authors explore the effects of the pandemic on blood collection in Turkey and illustrate the changes in efficiency throughout a distinct period that incorporates the pandemic. The study would provide a guide for blood bank managers to improve the performance of their organizations.

The purpose of this study is to systematically review the existing literature on the blood supply chain (BSC) from a network design perspective and highlight the research gaps in this area. Moreover, it also aims to pinpoint new research opportunities based on the recent innovative technologies for the BSC network design.

The study gives a comprehensive systematic review of the BSC network design studies until October 2021. This review was carried out in accordance with preferred reporting items for systematic reviews and meta-analyses (PRISMA). In the literature review, a total of 87 studies were analyzed under six main categories as model structure, application model, solution approach, problem type, the parties of the supply chain and innovative technologies.

The results of the study present the researchers’ tendencies and preferences when designing their BSC network models.

The study presents a guide for researchers and practitioners on BSC from the point of view of network design and encourages adopting innovative technologies in their BSC network designs.

The study provides a comprehensive systematic review of related studies from the BSC network design perspective and explores research gaps in the collection and distribution processes. Furthermore, it addresses innovative research opportunities by using innovative technologies in the area of BSC network design.

Agricultural sector not only meets the nutritional requirements of all living creatures but also generates the primary source of the raw material provided by various branches of industry to fulfill their functions. It is of great importance to increase studies on oilseeds which have an important role in Turkey's agricultural products. They are grown in almost all of the country, which are vital for the nutrition and many sectors. The main purpose of the study is to offer an integrated approach to determine potential warehouse locations for oilseeds.

This is the first study that integrates Delphi, analytical hierarchical process (AHP), technique for order preference by similarity to ideal solution (TOPSIS), P-Median and Panel data analysis in a real case. This integrated approach consists of the following steps, respectively: (1) The criteria were determined by the Delphi method. (2) The weights of the criteria were calculated by AHP and the provinces with the highest oilseed warehouse potential in seven regions of Turkey were specified by TOPSIS. (3) Oilseed warehouse numbers and locations were obtained by P-Median. (4) In order to answer whether the distribution network is profitable in the future with the determined center locations, a forecast model based on panel data analysis was created. (5) Regional representatives were determined for 2030, and the distribution network was analyzed again. (6) The costs that arose in 2018 and 2030 were computed and compared by cost analysis. (7) The effect of the change in criteria weights on the alternative results was tested by scenario analysis.

The findings indicated that oilseed crop production potential and oilseed crop production area turned out to be the most important criteria. Furthermore, the results showed that this model is robust and suitable for warehouse location selection studies.

The study can serve as a guide for local and central policy makers with both the criteria it uses and the model it develops.

The main contribution of this study is that the integrated approach has been used for the first time in location selection in a real case.

To determine what criteria are used in enterprise resource planning (ERP) selection process and what criteria are the most important for firms.

Through an extensive literature review, 15 selection criteria for the ERP selection process were identified and two were added after initial interviews. A questionnaire including these criteria was formed to secure data from companies. A single informant method was used for each company. To measure the importance of various critical factors a five‐point Likert scale was used in the questionnaire.

Fit with parent/allied organisation systems is identified as the most important selection criterion. Cross‐module integration, compatibility between other systems, and references of the vendor are identified important factors respectively. Statistically significant differences were also determined between companies using MRP/MRPII versus those using own or no program for “better fit with organisational structure” and “fit with parent/allied organisational systems” criteria.

The effect of each selection criterion on ERP implementations failure rates is still to be investigated.

Useful information about selection criteria on ERP systems for both vendors and firms planning to use these systems.

Two new selection criteria were proposed for the ERP system selection process and some important differences between the criteria used by firms from developed countries and developing countries are determined.

The main purpose of this paper is to investigate the relationships between seven antecedent factors (R&D strategy, top management support (TMS), customer focus (CF), organizational learning capability (OLC), creative capability (CC), organizational collaboration (OC), and supplier relationship (SR)), two innovation types (product and process), and firm performance (FP).

The paper formulates 16 hypotheses from the literature review. These hypotheses are tested using structural equation modeling with data collected from 270 managers of small and medium‐sized enterprises (SMEs) located in Turkish science and technology parks (STPs).

The findings indicate that both of product and process innovation have a strong and positive association with FP. While antecedents such as R&D strategy, TMS, CF, CC, and SR have significant impact on product innovation, other antecedents such as OLC and OC have a significant and positive impact on process innovation.

The results of this study could be used by any managers of SMEs located in STPs to improve successful innovation projects. The results also provide companies operating in Turkish STPs with useful information on how their policies and actions might affect firm innovation.

The paper provides a clarification of the reasons that may be behind a positive, a negative, or a non‐significant effect of the many antecedents on the product and process in SMEs located in Turkish STPs.

This paper seeks to provide new solutions to cargo companies’ service quality efforts by integrating different scientific methodologies.

Strengths and weaknesses of logistics services of a well known cargo company in Turkey are defined by using a service quality scale (SERVQUAL), service quality attributes are categorized using the Kano model in order to see how well these attributes are able to satisfy customer needs, and findings are transferred to quality function deployment (QFD).

The findings of the Kano model show that ten of the 27 service quality attributes can be categorized as “attractive”, implying the maximum effect on consumer satisfaction. Through the customer priority level of QFD, the three most important service quality attributes are found to be: VIP Service, informing customers about delivery time before sending, and taking deliveries from customers’ addresses. Also, strengthening information technology infrastructure is the most important technical requirement to focus with the highest technical importance level.

The study involves only one cargo company, it concerns just Trabzon city center branch offices and its sample includes only individual customers instead of individual and institutional customers together.

Offering a case study, the paper presents a guide for cargo companies to employ different scientific methodologies in their service quality development efforts.

Intending to offer scientific approaches to cargo companies as a tool of development in their practical procedures, the paper tries to bridge the current gap between academicians and practitioners and adds to the relatively limited theoretical literature.

The purpose of this paper is to explore the teaching performance of Turkish Business Schools (BSs). It also aims to determine the degree of importance of factors affecting the teaching performance of Turkish BSs. The final objective is to test the functionality and applicability of the model.

This study presents a ranking approach based on grey relational analysis (GRA). While evaluating the BSs, data were collected for 19 Turkish BSs in terms of five main criteria such as OSS score; Number of faculty members; Number of students per faculty member; the mean of KPSS score; and the standard deviation of KPSS score. In the analysis, three weighted methods were integrated into the GRA in order to weight the criteria.

According to this result, the main factor influencing the teaching performance of Turkish BSs is the OSS score. This study can also confirm that the results obtained from the ranking orders using the proposed methods are reliable and these results can help decision makers to identify the best alternative.

In order to provide benchmarking data more effectively, in future, it would be helpful to collect data from both foundation and state universities with a research focus. Moreover, as an interesting suggestion for future research, fuzzy environment may be further integrated into the framework of GRA.

In contrast to prior research, this study makes comparisons based on the scores of national exams instead of different bibliometric indicators. Furthermore, there are no studies which have used GRA and these weighted methods as combined in education sector.

An enterprise resource planning (ERP) system is commonly used for automating operational processes and enhancing their efficiency inside a company. In the recent years, the increasing development of ERP technologies has increased their impacts on decision-making. Such impact can no longer be underestimated. The purpose of this study was to evaluate the impacts of ERP systems on the improvement of decision-making quality inside large Moroccan companies.

Based on the DeLone and McLean information systems success model and by adopting a quantitative approach, survey data were collected through questionnaires. The established questionnaires were distributed to 104 decision-makers who use ERP systems. To test the developed research model, structural equation modeling based on the partial least squares method was used.

The findings of the present investigation showed that information and system quality had a positive impact on the overall user’s experience with the ERP system, whereas service quality had a negative impact on it. This influenced the quality of decision-making. The results also showed that the model used has sufficient and adequate convergent and discriminant validities, as well as sufficient reliability.

To the best of authors’ knowledge, this is the first empirical study that evaluates the effect of ERP systems on improving the quality of decision-making in Morocco. The results provide interesting theoretical and managerial implications.