International Journal of Business Ecosystem & Strategy

Nowadays, effective business performance depends on digital competitive factors and its ability to transform corporate capabilities in the light of digitalization. In this study, the evolving role of automated systems for global business operations in the era of Industry 4.0 has been assessed from a theoretical perspective with a practical approach. It is aimed to demonstrate the role of high technologies in an effective supply chain management system with new technological components and cyber-security issues of automated vehicles in SCM. This study highlights that developments in Artificial Neural Networks, Image Processing, Multi-Purpose Decision-Making, Blurred Linguistic Variables, and automated systems increase the performance of the supply chain management system and boost business performance. It is also shown that the evolving role of the automated system requires capital investments on Research and Development efforts

The term high-tech, covering the high-tech industry and the information-intensive service sector, is based on advanced scientific and technological expertise that requires science, technology, and innovation (STI), and is based on Research & Development expenditure. Sectoral, product and patent approaches are used for classification by OECD and European Union. Literature review on high-tech show that countries focusing on Research and Development Expenditures and new patents have succeeded in increasing their high-tech exports as well. Turkey is one of the countries where the levels of high-tech export is not at the desired levels yet therefore the government must give incentives for Research and Development expenditures and new patents for innovation, as high-tech export affects GDP growth positively.

Despite the theoretical foundation that links Transformational leadership (TFL) with innovation behavior, previous studies have overlooked on Transformational leadership and innovation behavior at the individual level relationship but paid less attention to how transformational leadership qualities of top leaders would advance innovative work behavior within the organizational setting. To date, the impact of Transformational leadership at a top executive level on employee’s innovative work behavior (IWB) within an organizational setting has not been dealt with in-depth. However, using transformational leadership theory, this study uncovers the pivotal role of innovation culture (IC) and managerial innovation (MI) in the relationship between CEO transformational leadership and employee’s innovation behavior in SMEs. A cross-sectional design with a total of 434 employees from 24 SMEs operating from Rwanda was analyzed using structural equation modeling to evaluate the relationship between the variables developed in the study. The findings of this study support our hypothesized model.

The concept of big data is one of the important issues in business decision making in recent years. The expansion of social media platforms, the increase in data production devices and the evaluation and interpretation of the data produced by developing technology become crucial. Previous studies in the big data area have addressed the issue in limited contexts, and there are few studies in the field of marketing with a bibliometric approach. This study, which aims to examine how big data concept is evaluated in marketing literature, examines the publications on big data in indexed marketing journals using bibliometric methodology. This study starts with descriptive statistical information and then includes the top published journals, authors and corresponding author’s countries statistics. This study also includes most influential studies for big data concept in marketing literature, employs spectroscopy for detecting historical roots of studies and finally plots growth progress of keywords for predicting, future themes. This study contributes to current literature by providing a summarizing and instructive content for researchers interested in big data in marketing.
  

Expressing the digitalization of industry in today's world which is rapidly developing day by day, Industry 4.0 is accepted as the most important technology revolution of our time. This shows that a new era in production has started and the industry has been digitized. In order to adapt to this change, companies should actively follow the innovations and shape the organizational structure accordingly. However, if this is the case, we can respond to the expectations of the current period. That is why it is necessary to activate Industry 4.0 after learning all aspects of it and to develop marketing strategies that can adapt to this digital age. In today's competitive environment, it is inevitable to act integrated into this new situation. This study is designed to emphasize how important it is to identify Industry 4.0 and the most heavily affected marketing strategies from it. It is also a review of the conceptual explanation of Industry 4.0 and the importance of advances in new technologies.

The study examined the dynamic responses of profitability indexes to capital adequacy ratios of authorized internationalized deposit money banks in Nigeria. The data were sourced from the financial year books of the deposit money banks and analyzed with static and dynamic panel estimators. The static estimator shows that the banks have differences in managerial style, size and profitability. Also, it was revealed that return on asset and return on equity responded positively to asset size, efficiency of the use of asset and current ratio in the static models and they were highly significant. However, they were insignificant in the dynamic specifications except asset size that was significant in the return on asset model showing a weak dynamic response of profitability to capital adequacy ratios. Hence the study recommended that Banks should improve their share based as to increase the asset as this will improve profitability.

The purpose of this study was to assess the effect of indirect investment on the performance of real estate in Nairobi County Kenya. The independent variables for indirect investment were: investment trusts, exchange-traded funds, commingled funds, and infrastructure funds. The dependent variable was the performance of real estate in Nairobi County Kenya. Secondary data was collected from the real estate’s online sources and some from the company offices and analyzed using multiple regression analysis. Both descriptive statistics and inferential statistics were determined. The study was only able to collect secondary data from 45 real estate companies out of the target population of 69 registered by KPDA in 2015 as it was hard to get data of the rest either from online sources or from the company offices. With the aid of STATA 12.0 software and Excel software, quantitative results were tabulated and presented in the form of charts, bar graphs, and narratives. The study found an existing relationship between the performance of the real estate sector and the Investment Trust Fund, the Exchange Trust Fund, the Commingled Fund, Infrastructure Fund. The study concludes that most of the coefficients were significant. The study also concludes that there is a relationship between the performance of the real estate sector and the Investment Trust Fund, Exchange Trust Fund, Commingled Fund, Infrastructure Fund when these components are considered together, they affect Performance.

This paper investigated the impact of tax revenue on private domestic investment in Nigeria from 1980 to 2018 using the modified ordinary least squares- Autoregressive distributed lag (ARDL). The paper used oil revenue, non-oil revenue, and Corporate Income Tax (CIT) as the independent variables while Private Domestic Investment (PDI) is the dependent variable. Oil revenue and non-oil revenue were used as a proxy for oil and non-oil tax. These data were obtained from secondary sources- central Bank of Nigeria, World Bank database and Federal Inland Revenue service statistical bulletin. The result showed that a long-run relationship exists between the aforementioned variables. Also, the paper revealed that oil and non-oil do not have a significant impact on PDI but CIT has a positive and significant impact on PDI. The paper recommends that proper measures/reforms should be put in place in order to reduce the impact of tax on private domestic investment in Nigeria.

MSMEs contribute more than 60% of economic growth. 99% of business operators in Indonesia are MSMEs. However, the contribution of MSMEs in tax revenue is still low. The government has sought to improve tax compliance for the MSME sector by the existence of an Account Representative position (AR) and an online reporting system, namely E Filling. This study aims to determine whether the role of Account representative (AR) and the use of E Filling can affect the compliance of MSMEs in reporting tax. The data used are MSMEs in the area of the Primary Tax Office in Duren Sawit. The number of questionnaires distributed was 120 and could be processed was 95 questionnaires. The analytical tool used is the Structure Equation Model (SEM). The results conclude that the value of the role of AR and the use of E-Filling affect the compliance of MSMEs in reporting taxes partially and simultaneously.

Market analysis is a diagnostic process to uncover the root causes of how markets perform from an economic perspective. This market analysis will help us understand how the market supply and demand work and what elements affect this performance during 2015-2017. Market analysis provides the initial foundation for the market intervention; this foundation is not constant as markets that are constantly evolving and dynamic. This paper will analyze the factors that affect the supply and demand in the same period in addition to the price elasticity for the Tesla Model - S.  Finally, this paper develops an insight into the future of the industry.