Journal of International Trade, Logistics and Law (JITAL - İstanbul Commerce University)
Not a member yet
    368 research outputs found

    Cost–Benefıt Assessment of Electrochemıcal Battery Technologıes: The Case of Stand-Alone Storage

    No full text
    In this study, a comparative cost–benefit analysis was conducted for four electrochemical battery technologies: lithium iron phosphate (LFP), flow batteries, sodium-sulfur (NaS) batteries, and nickel–manganese–cobalt oxide (NMC) batteries. Furthermore, an investment projection was examined within the scope of standalone storage applications. Based on the comparative analyses of electrochemical batteries, and taking into account technological advancements, market conditions, grid-scale applicability, investment costs, efficiency in terms of application areas, impacts on the energy market, and the standalone consumer profile, lithium iron phosphate (LFP), flow batteries, sodium-sulfur (NaS) batteries, and nickel–manganese–cobalt oxide (NMC) batteries have emerged as advantageous storage technologies at the point of maximum benefit in cost–benefit analysis studies. Positioned against prior research and relevant standards, this study is expected to advance the literature. In conclusion, it offers an investment-oriented cost–benefit assessment of the most widely deployed electrochemical energy-storage technologies, conducted within the context of a standalone storage consumer profile

    Influencer Marketing and Consumer’s Lifestyle Branding: The Mediating Role of Audience Perception

    No full text
    This study examines how influencer marketing affects consumer lifestyle branding in Tanzania, focusing on the role that audience perception plays. The research uses Source Credibility Theory, Social Learning Theory, and Perception Theory. It collects and analyses data from a group of Tanzanian urban young people, using a quantitative method with Partial Least Squares Structural Equation Modelling (PLS-SEM). The measurement model results showed that the constructs were reliable and valid. The structural model analysis showed that influencer marketing affects audience perception (β = 0.686, p < 0.001). Perception then affects lifestyle branding (β = 0.564, p < 0.001). The mediation analysis revealed that audience perception mediates the relationship between influencer marketing and lifestyle branding (β = 0.387, p < 0.001). The model showed average explanatory power (R² = 0.471 for perception, R² = 0.318 for branding). It also showed good predictive relevance. The findings highlight the significance of genuine influencers and credibility in shaping brand identity adoption. Companies should invest in long-term influencer partnerships, create content that fits the culture, and manage perception with a plan. This study adds to the literature about digital branding in Sub-Saharan Africa and it shows that perception acts as a link between marketing influence and lifestyle alignment

    Volatility Dynamics in Turkish REIT and Sectoral Indices: A Univariate GARCH Approach

    No full text
    This study investigates the volatility characteristics of the Turkish REIT Index (XGYO) and major sectoral indices on Borsa Istanbul, including construction, tourism, and finance, from 2014 to 2024. The analysis uses ARIMA models for the mean and univariate GARCH(1,1) models for the variance, incorporating two key macroeconomic variables: the USD/TRY exchange rate and international gold prices. These variables are selected to capture the influence of currency fluctuations and global commodity markets on sectoral volatility. The findings reveal persistent volatility across all sectors, with macroeconomic factors being a key influence. Construction and REITs are most affected by exchange rate fluctuations due to their strong connection to the real estate market, while tourism is more impacted by gold price changes, indicating greater exposure to global uncertainty. By focusing on sector-specific volatility instead of static measures, the study improves understanding of market behavior in emerging economies. It provides practical guidance for investors, portfolio managers, and policymakers, showing that while Turkish REITs can offer stability in diversified portfolios, their effectiveness depends on the macro-financial environment and sector-specific conditions

    Impact of Customer Relationship Management on Customer retention in Tanzania Airline industry

    No full text
    This study investigated the impact of Customer Relationship Management (CRM) on customer retention in the Tanzanian airline industry, focusing on the influence of CRM practices, customer satisfaction, and customer loyalty. The study adopted a theoretical framework based on Relationship Marketing Theory to understand the relationship between CRM and customer retention. A cross-sectional research design was employed, collecting data from a diverse sample of Tanzanian airline passengers using simple random and purposive sampling techniques. A total of 251 airline passengers and 10 supervisors from airline companies and the Tanzania Airport Authority participated in the study. Data collection was conducted through structured questionnaires and interviews for qualitative data. The data was analyzed using Descriptive Statistics and Linear Regression Analysis in IBM SPSS Statistics 27, along with Thematic Analysis for qualitative data. The study's findings indicated that CRM practices (Beta = 0.598, p < 0.001), customer loyalty (Beta = 0.588, p < 0.001), and customer satisfaction (Beta = 0.229, p = 0.001) significantly influence customer retention. The findings suggest that while customers perceive CRM efforts positively, improvements are needed in trust, commitment, and pricing strategies. The study provides valuable insights for Tanzanian airlines to enhance service delivery and retain customers, contributing to the body of knowledge on CRM and customer retention in the airline industry

    Integrating Digital Solutions for Crew Resource Management in Aviation: A Fuzzy BWM-COCOSO Approach

    No full text
    oai:ojs.pkp.sfu.ca:article/571This study presents a novel hybrid framework integrating Fuzzy Best-Worst Method (Fuzzy BWM) and Combined Compromise Solution (COCOSO) for prioritizing digital Crew Resource Management (CRM) solutions in aviation management. Evaluating alternatives across six criteria—operational efficiency, cost, safety, user experience, scalability, and environmental impact—the framework combines expert judgments with entropy-based validation for balanced decision-making. Based on data from ten industry experts, operational efficiency and safety emerged as the most critical criteria, with Digital Solution A ranking highest due to its strong performance in scalability and predictive analytics. Sensitivity analysis confirmed the model’s robustness, ensuring consistent rankings under varying conditions. This study advances multi-criteria decision-making methodologies in aviation, offering a reliable tool for integrating CRM systems that align with operational and sustainability goals while addressing gaps in existing frameworks

    The Impact of Intrinsic and Extrinsic Motivation on Job Performance in Tanzania's Public Sector

    No full text
    The study investigated the influence of extrinsic and intrinsic motivation on job performance in the Ministry of Home Affairs. The study adopted a theoretical framework based on Self-Determination Theory (SDT) to understand the relationship between employee motivation and job performance. A simple random sampling technique was used, and a cross-sectional research design was used to collect data from a diverse sample of Ministry of Home Affairs employees. A total of 93 employees from the Ministry participated in the study. Data collection was conducted through structured questionnaires. The data was analyzed using descriptive statistics and Linear regression analysis in IBM SPSS Statistics 27. The study findings revealed that intrinsic and extrinsic motivation positively affect employee job performance at the Ministry of Home Affairs.  The study findings indicated that Intrinsic motivation (P=0.000, B=0.587) significantly impacts employee job performance, and Extrinsic motivation (P=0.036, B=0.176) also positively impacts employee job performance. The overall model was statistically significance (F (2,90) =28.492, P<0.001). This study recommends that the public sector in Tanzania implement comprehensive employee motivational strategies with intrinsic and extrinsic motivation factors to enhance employee job performance

    Assessment of the Regulatory Framework for Green Procurement Adoption: A Case of Public Procurement Regulatory Authority (PPRA) Dodoma, Tanzania

    No full text
    Generally, the study assesses the regulatory framework for green procurement adoption in Tanzania. The study had three Independent variables which are public procurement laws support, understanding public procurement regulations, enforcement mechanisms and one dependent variable green procurement adoption. The study was conducted at PPRA Dodoma. The study employed a causal research design with a quantitative research approach. Data was collected through a closed ended questionnaire and analyzed through multiple regressions analysis. Findings of the study revealed that, the Public Procurement Laws Support variable has an unstandardized coefficient (β) of 0.302 and a standardized coefficient (Beta) of 0.316 with a significant t-value of 5.250 (p = 0.000), highlighting its positive and significant influence on green procurement adoption. The GP Knowledge variable also shows a significant positive effect, with an unstandardized coefficient (β) of 0.213 and a standardized Beta of 0.202. The t-value of 3.579 (p = 0.001) indicates a statistically significant relationship. The GP Enforcement Mechanism variable has the strongest positive effect on green procurement adoption, with an unstandardized coefficient (β) of 0.503 and a standardized Beta of 0.498. The t-value of 7.688 (p = 0.000) further emphasizes its high level of significance. The study recommends that to enhance green procurement adoption, policymakers should strengthen public procurement laws to include sustainability principles, while organizations prioritize knowledge-building initiatives and establish enforcement mechanisms. This combined approach fosters a supportive legal environment, empowers procurement professionals with the necessary skills, and ensures adherence to green standards, contributing to broader environmental goals

    Unmasking Greenwashing: The Impact on Financial Performance and the Mediating Role of Green Reputation

    No full text
    Greenwashing, defined as the misleading and unsubstantiated claims made by companies to appear environmentally responsible, can have multiple effects on companies. This study examines the influence of greenwashing perceptions on financial performance, with a particular focus on the mediating role of green reputation. Data were collected through a survey of 218 employees of companies listed on the Borsa Istanbul Sustainability Index. The results show that companies that engage in less greenwashing not only experience better financial performance, but also that green reputation plays a crucial mediating role in this dynamic. Companies with stronger green reputations mitigate the negative effects of greenwashing, thereby strengthening their financial performance. The study underlines that greenwashing can undermine perceptions of corporate sustainability, weaken trust and damage financial outcomes. By prioritizing authentic sustainability efforts, companies can improve their long-term financial performance and protect their green reputation, which is essential for sustainable success

    Artificial Intelligence Usage by Advertising Industry Professionals

    No full text
    Technological developments have had a great impact on the changes experienced by the entire world since the 20th century. Rapid advances in technology and transformations brought about by digitalization have led to extensive changes in the advertising industry, as in many other sectors, especially in the last twenty years. The concept of Industry 4.0, which entered the world agenda as of 2011, and the digital transformation progressing with the technologies it encompasses, have also brought about new and various applications in the functioning of the advertising sector. While digital advertising is developing alongside traditional advertising methods, the technologies used in this field have also made rapid progress. The advertising sector and its processes are currently being shaped by digitalization and artificial intelligence, which is among the Industry 4.0 technologies. While artificial intelligence technologies enable faster, more efficient and creative results to be obtained in advertising production processes (Kietzmann et al., 2018), the approaches of professionals in the sector to this technology have also become an important area of research. The use of artificial intelligence in advertising production processes has been evaluated in different dimensions such as target audience research, advertising targeting strategies, media planning, advertising impact analysis, campaign design, copy writing and creative processes. (Qin and Jiang, 2019; Li et al., 2021). In this study, the use of artificial intelligence in advertising production processes by advertising sector professionals was investigated

    Under the Belt and Road Initiative (BRI), China’s Green Investments in African Countries

    No full text
    The Belt and Road Initiative (BRI) has been growing its economic impact on all over the world since the declaration of Chinese President Xi Jinping in 2013. This initiative had been considered as a highly ambitious global initiative aimed at stimulating economic growth across Europe, Asia, and Africa. As of February 2025, there are 152 countries involved in the BRI initiative and a considerable number of African countries also take part in this initiative to be able to foster their economic condition along with this giant economic movement. To investigate the effects of China's BRI investments in African countries with an environmental approach, this study examines China’s green investments in African countries between 2013 and 2023, by using data from the China Global Investment Tracker, and employing descriptive statistical analysis. Focusing on 21 African BRI countries, green BRI investments from aspects of yearly trend, country distribution and sector allocation are analyzed. In the process of separating BRI investment records into green and non-green categories, it is found that green investments have grown rapidly around world over the decade, compared to non-green ones. The findings also indicate the recent years have witnessed an annual stabilization of 30% green investment. These green investments demonstrate a strategic emphasis on “resource acquisition and infrastructure building” with investments concentrated in resource-rich countries to secure essential minerals such as lithium and uranium, while simultaneously developing clean energy projects and infrastructure. Therefore, while these investments can foster sustainable development in African countries, they also pose environmental risks through mining investments, which require robust environmental assessments and governance to avoid Pollution Heaven problems

    231

    full texts

    368

    metadata records
    Updated in last 30 days.
    Journal of International Trade, Logistics and Law (JITAL - İstanbul Commerce University)
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇