Purpose: This study aims to propose a novel maturity model development framework based on design science theory utilizing qualitative and quantitative methods for empirical evidence and develops a descriptive digital transformation maturity model by using the proposed framework.Design/methodology/approach: Design science theory is deeply explored and extended to propose a novel maturity model development approach, including robust and rigorous validation processes. Thus, three consecutive discussion sessions and evaluations with experts are carried out iteratively to evolve and saturate the efficiency and utility of the maturity model, and consensus among experts at each session is validated by the intra-class correlation (ICC) coefficient. Furthermore, the Wilcoxon signed rank test is utilized to test whether there is a difference between consecutive sessions. Finally, prototype testing as a pilot study and two case studies in the manufacturing industry are carried out to validate the applicability of the developed maturity model.Findings: A 3-phase maturity model development framework that includes the activities and outcomes in each phase emerge based on the design science theory. The comparative literature analysis and discussion sessions resulted in six dimensions, ten sub-dimensions, 39-capability items that circumscribe the digital transformation concept and five maturity levels that demonstrate conceptual consistency and a measurement tool for self-assessment. In addition, prototype testing and case studies show that the developed maturity model can measure the company's maturity level. Finally, it is proven that the digital transformation maturity model is developed by following the proposed maturity model development framework.Practical implications: The maturity model draws a framework for practitioners that facilitate an initial roadmap and enhance the adoption rate, and it motivates the practitioners for frequent and efficient assessments, thus helping the continuous improvement of the digital transformation journey.Originality/value: The originality of this paper lies in proposing a novel maturity model development framework based on design science and presents the activities and validation methods for this purpose. Furthermore, a comprehensive and rigorously validated digital transformation maturity model is developed based on the proposed framework.

Purpose: This study aims to develop a modular and prescriptive digital transformation maturity model whose constituent elements have conceptual integrity as well as reveal the priority weights of maturity model components.Design/methodology/approach: A literature review with a concept-centric analysis enlightens the characteristics of constituent parts and reveals the gaps for each component. Therefore, the interdependency network among model dimensions and priority weights are identified using decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP) method, including 19 industrial experts, and the results are robustly validated with three different analyses. Finally, the applicability of the developed maturity model and the constituent elements are validated in the context of the manufacturing industry with two case applications through a strict protocol.Findings: Results obtained from DEMATEL-based ANP suggest that smart processes with a priority weight of 17.91% are the most important subdimension for reaching higher digital maturity. Customer integration and value, with a priority weight of 17.30%, is the second most important subdimension and talented employee, with 16.24%, is the third most important subdimension.Research limitations/implications: The developed maturity model enables companies to make factual assessments with specially designed measurement instrument including incrementally evolved questions, prioritize action fields and investment strategies according to maturity index calculations and adapt to the dynamic change in the environment with spiral maturity level identification.Originality/value: A novel spiral maturity level identification is proposed with conceptual consistency for evolutionary progress to adapt to dynamic change. A measurement instrument that is incrementally structured with 234 statements and a measurement method that is based on the priority weights and leads to calculating the maturity index are designed to assess digital maturity, create an improvement roadmap to reach higher maturity levels and prioritize actions and investments without any external support and assistance.

ERP projects have a significant cost-share with high failure-rates. When the failure factors of ERP projects are evaluated, it is noteworthy that enterprises do not pay enough attention to ERP Readiness and moved directly to implementation. The literature lacks to explain ‘how and with which method’ an ERP Readiness assessment of an enterprise is made. Therefore, this study develops a novel ERP Readiness Assessment Model and Measurement Tool. The developed eight-staged methodology gives the ability for a holistic assessment of companies in transition to ERP systems. Besides, the results are in alignment with two MCDM methods for case company evaluation.

Purpose: This study explores the influencing factors of the enterprise resource planning (ERP) readiness stage on project success immediately after go-live from the project manager’s perspective.Design/methodology/approach: The influencing factors of the ERP readiness stage are explored through the literature and expert review sessions and are embedded in Kotter’s change management model. A survey-based empirical study is conducted among ERP project managers in Turkey in 2019 utilizing principal component analysis and multiple regression analysis to reveal the direct relation of influencing factors and project success.Findings: Results show that the proposed model explains 65.179% of the variation with four components. The association of components through regression analysis reveals that project planning and management, employee commitment and change management directly relate to the ERP project success. Yet, surprisingly top management support is not directly correlated. Therefore, the results suggest that influencing factors of such long projects are to be evaluated by the stages of the project life cycle.Research limitations/implications: This research is limited to the project managers’ perspective in Turkey and the readiness stage of the project life cycle.Practical implications: The objectives of this research serve as a guideline for ERP project managers to consider the success factors in terms of ERP project phases. This ensures that the project manager allocates optimum resources to the right factors at the right time.Originality/value: Despite numerous studies in the ERP readiness stage, this study opens new ways of future research while filling several gaps. First, the ERP readiness phase is discussed with a theoretical approach through Kotter’s change management model. Second, the influencing factors of the ERP readiness stage on ERP project success from the project manager’s perspective are explored, and factor structures are revealed. Then, the association of the factors with ERP project success of “immediately after go-live” is empirically tested.

Managing the distribution of goods is a vital operation for many companies. A successful distribution system requires an effective distribution strategy selection and optimum route planning at the right time and minimum cost. Furthermore, customer’s demand and location can vary from order to order. In this situation, a mixed delivery system is a good solution for it and allows the use of different strategies together to decrease delivery costs. Although the “distribution strategy selection” is a critical issue for companies, there are only a few studies that focus on the mixed delivery network problem. There is a need to propose an efficient solution for the mixed delivery problem to guide researchers and practitioners. This paper develops a new “modified” savings-based genetic algorithm which is named “distribution strategy selection and vehicle routing hybrid algorithm (DSSVRHA).” Our new algorithm aims to contribute to the literature a new hybrid solution to solve a mixed delivery network problem that includes three delivery modes: “direct shipment,” “milk run,” and “cross-docking” efficiently. It decides the appropriate distribution strategy and also optimal routes using a heterogeneous fleet of vehicles at minimum cost. The results of the hybrid algorithm are compared with the results of the optimization model. And the performance of the hybrid algorithm is validated with statistical analysis. The computational results reveal that our developed algorithm provides a good solution for reducing the supply chain distribution costs and computational time.

Maliyet ve rekabetin yüksek olduğu havacılık sektörü günümüzün en önemli sanayi alanlarından biridir. Teknolojik gelişmelere öncülük eden bu sektör üreticiler, havayolu şirketleri, uçuş okulları, bireysel kullanıcılar, devletlerin silahlı kuvvetleri, bakım kuruluşları, havaalanları gibi bileşenleri içerir. Faaliyetini sürdüren her çağdaş işletmenin amaçları ile aynı doğrultuda sektördeki aktörler de zarar etmekten ve yanlış kararlar almaktan kaçınırlar. Sektöre dair yapılan çalışmalarda turbofan ve turboprop motorlu yolcu uçağı seçimlerinde Çok Kriterli Karar Verme (ÇKKV) tekniklerinin kullanıldığı görülmüştür. Ancak Türkiye’de bireysel satın almada pistonlu tek motorlu uçak seçimi için çalışma olmadığı belirlenmiştir. Bu amaçla ÇKKV yöntemlerinden Analitik Hiyerarşi Süreci (AHP) ve TOPSİS kullanılarak gerçekleştirilen bu çalışmada uzmanlarca belirlenen sekiz kriter ile üç alternatif arasından seçim yapılmıştır. AHP ve TOPSIS yöntemleri kullanılarak kriter ağırlıklandırılması gerçekleştirilmiş, uçakların özellikleri belirlenen bu ağırlıklara göre değerlendirilmiş ve sonuçlar ortaya konmaya çalışılmıştır.