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Publication REQUIREMENTS OF COLLABORATIVE AND TRANSFORMATIONAL LEADERSHIP IN DIGITAL ECOSYSTEMS: TECHNO-ORCHESTRATING LEADERS IN A VUCA WORLD(FapUNIFESP (SciELO), 2023) Suat Begeç; Goknur Arzu Akyuz; Begeç, SuatABSTRACT In today’s increasingly web-enabled digital world, business environment is being transformed into ecosystems of partners in which digital connectivity, real-time data, information sharing, and visibility are enabled. Partners are becoming increasingly dependent, network collaboration is turning into a key success factor, and managerial, organizational and leadership paradigms are radically changing. This study investigates the requirements of leadership under these collaborative, transformational and technology-intensive conditions. Through a comprehensive and systematic literature review, the study offers main leadership requirements, desired leadership practices, and leader profiles to become successful in this context. Therefore, a conceptual framework is developed. The findings reveal that leadership requirements for digital ecosystems (DES’s) are entirely different from traditional leadership understanding, and orchestration stands out as a key concept. This study is valuable for providing a comprehensive literature review and developing a conceptual framework.Publication LABOUR PRODUCTIVITY ANALYSIS OF MANUFACTURING SECTOR IN TURKEY AGAINST EU(Vilnius Gediminas Technical University, 2023-05-23) Dursun Balkan; Goknur Arzu Akyuz; Balkan, Dursun; Akyüz, Göknur ArzuThis study offers an in-depth analysis of labour productivity of manufacturing sector in Turkey and provides a comparison with EU27 and EA19 countries utilizing Eurostat time series data of 63 quarters covering 2005/first quarter-2020/third quarter time interval. Productivity trends are identified and interpreted by relating them with the key macroeconomic events and factors. Multiple linear and non-linear regression equations, and ARIMA model with different parameters are applied to the time series data considering the periods with and without covid effect. Future projections are made for the periods 2020–2023 for Turkey manufacturing sector based on the best fitting regression and ARIMA solutions and they are compared. Findings revealed that extreme covid conditions of even two quarters of data have significant impact on the forecasted values for Turkey, EU27 and EA19 countries. ARIMA analysis with 12 different parameter settings provided accurate results, supported by Thiel’s inequality coefficients and standard error measures. Analysis has shown consistent patterns between EA19 and EU27 countries. ARIMA results represent better compatibility with the regression results for Turkey. Study is valuable by providing comprehensive and comparative analysis, revealing future forecasts and covid effect and degree of recovery from the pandemic.Publication Logistics Sector Turnover: Forecasting for Turkey, EU27 and EA19 under Effects of COVID-19(MDPI AG, 2023-04-07) Dursun Balkan; Goknur Arzu Akyuz; Balkan, Dursun; Akyüz, Göknur ArzuBackground: The logistics sector is the backbone of today’s global trade, and is vital for the continuity of goods and services. The sector is gaining increased importance as logistics operate under the extreme conditions the world is passing through (COVID-19, earthquakes, wars). Methods: A comparative study is offered for Turkey and the EU27 and EA19 countries utilizing Eurostat database time series data for logistics turnover, based on regression analysis with and without COVID-19-affected data. General trends are identified regarding the logistics turnover and average turnover by different transportation modes in Turkey. Linear, exponential, logarithmic and polynomial regressions are fitted to the dataset to find the best fit. Afterwards, forecasting is performed based on the polynomial equation, which is identified as the best fit. A similar approach is repeated for the EU27 and EA19 countries to put forward the trends and forecasts as well as a detailed comparative discussion among countries. Results: Our study reveals the dramatic effect of COVID-19 on the turnover of different logistics modes and the radical shift that Turkey experienced from land transportation towards air transportation. Conclusions: Our study provides forecasting and a comparative picture for the logistics sector, shows the growth trends with respect to different transportation modes and reveals the effects of the pandemic on the logistics sector for Turkey and the EU27 and EA19 countries.