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    Business model canvas for humanitarian operations of logistics service providers*
    (Taylor & Francis Ltd, 2022) Kucukaltan, Berk; Irani, Zahir; Acar, A. Zafer
    For years, humankind has been facing various disasters of which logistics has a crucial role for alleviating sufferings of vulnerable people, who are isolated and in need of basic supplies. Owing to the increasing importance of logistics in humanitarian operations, logistics service providers (LSPs) have recently become more prominent. Yet, only a few LSPs have the capabilities and mechanisms to offer operational solutions for humanitarian relief. Also, the conducted extensive literature review makes evident that the existence of a limited number of normative research reveals a barrier about what LSPs can bring into the humanitarian field. Accordingly, why LSPs are particularly important in the humanitarian supply chain and how LSPs manage their activities and resources in humanitarian operations become the main questions to be addressed. Thus, this study seeks to explore humanitarian operations of LSPs from different dimensions, enabled by Business Model Canvas (BMC). In this sense, the obtained findings clarify both similar and different viewpoints of diverse LSPs when mapped against the BMC. Consequently, the categorised interrelated information presented through the cross-case synthesis provide novelty to advance insights both on strategic missions of LSPs in humanitarian relief operations and on the usage of BMC beyond its common commercial implementations.
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    A decision support model for identification and prioritization of key performance indicators in the logistics industry
    (Pergamon-Elsevier Science Ltd, 2016) Kucukaltan, Berk; Irani, Zahir; Aktas, Emel
    Performance measurement of logistics companies is based upon various performance indicators. Yet, in the logistics industry, there are several vaguenesses, such as deciding on key indicators and determining interrelationships between performance indicators. In order to resolve these vaguenesses, this paper first presents the stakeholder-informed Balanced Scorecard (BSC) model, by incorporating financial (e.g. cost) and non-financial (e.g. social media) performance indicators, with a comprehensive approach as a response to the major shortcomings of the generic BSC regarding the negligence of different stakeholders. Subsequently, since the indicators are not independent of each other, a robust multi-criteria decision making technique, the Analytic Network Process (ANP) method is implemented to analyze the interrelationships. The integration of these two techniques provides a novel way to evaluate logistics performance indicators from logisticians' perspective. This is a matter that has not been addressed in the logistics industry to date, and as such remains a gap that needs. to be investigated. Therefore, the proposed model identifies key performance indicators as well as various stakeholders in the logistics industry, and analyzes the interrelationships among the indicators by using the ANP. Consequently, the results show that educated employee (15.61%) is the most important indicator for the competitiveness of logistics companies. (C) 2016 Elsevier Ltd. All rights reserved.
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    Gaining strategic insights into Logistics 4.0: expectations and impacts*
    (Taylor & Francis Ltd, 2022) Kucukaltan, Berk; Saatcioglu, Omur Y.; Irani, Zahir; Tuna, Okan
    The developments brought by Industry 4.0 have spread to various components in a supply chain, where logistics is of utmost importance due to the intermediate role of logistics service providers (LSPs) operating among different actors. Despite such a vital role, the extant literature lacks from the extensive analysis of Industry 4.0 implementations in the logistics industry, particularly for LSPs. Accordingly, this study sets out to investigate, comprehensively, Industry 4.0 projections in logistics and their reflections on LSPs by adopting a multidimensional approach. In this respect, the key themes influenced by Industry 4.0 developments are initially determined through a structured survey conducted in the Turkish logistics industry. Then, in the same industry, both the probabilities and the impacts of Industry 4.0-focused thematic statements are examined through an integrative interview survey, which also incorporates 'why-type' of questions. Consequently, this study offers academic implications in terms of demonstrating possible changes in the logistics industry from the operational, financial, and human resources aspects. Additionally, the findings serve as a reference for logistics professionals while fostering their competitive Industry 4.0 initiatives and facilitating their strategic decisions.
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    Investigating the themes in supply chain finance: the emergence of blockchain as a disruptive technology
    (Taylor & Francis Ltd, 2022) Kucukaltan, Berk; Kamasak, Rifat; Yalcinkaya, Baris; Irani, Zahir
    Blockchain has gained momentum as a disruptive technology in supply chain management against its introduction as a finance-related instrument. Nevertheless, the developing academic understanding and the limited practical implications lead to insufficient insights into the use of blockchain technology, particularly in the supply chain finance (SCF) domain. Thus, the expected potential of blockchain technology remains underexplored. Accordingly, this study explicates this situation by examining the extant literature findings and web-based big data that can provide evidence about the real needs in supply chains, and investigating how blockchain emerges as a disruptive SCF-oriented technology. The study employs a web analytics method, Search Engine Results Page (SERP) analysis which considers the trends in blockchain technology use and the interactions between blockchain, supply chain and finance appearing in Google searches. The SERP method examined real-time clicks, web traffics and most commonly asked questions about blockchain. The SERP findings revealed that the interest in blockchain technology neither focused on finance nor data privacy as emphasised in the literature but mainly on the benefits of increasing digitalisation and efficiency in supply chains. The results offered practical implications for capturing recent blockchain- and supply chain-related trends and designing more digital and efficient supply chains.