Journal of Industrial Policy and Technology Management
Not a member yet
112 research outputs found
Sort by
Understanding Digitalization in International Trade Firms with an In-Depth Interview
Get PDFDigitalization stands out as a significant trend reshaping both society and trade. It induces transformations in companies through the integration of digital technologies within their organizational structures and operational contexts. This paper explores digitalization through a lens of diverse case studies conducted to gather data from multiple companies, supplemented by a literature study. The paper introduces the inaugural edition of a digital transformation model, synthesized from the insights gained from these industrial cases, providing a foundational starting point for a methodical approach to address digital transformation. The primary aim of the model is to assist companies in handling the changes linked with digitalization in a systematic manner. Comprising four key steps, the model initiates with situating the company in the digitalization landscape and formulating specific goals. It then proceeds to scrutinize the company's current state in relation to its digitalization objectives. Following this, a roadmap is outlined and implemented to guide the company toward achieving its goals, with the understanding that these steps are iterative and can be revisited multiple times. Despite variations in company situations, these steps offer a systematic approach to navigating digitalization, facilitating the necessary actions for deriving benefits from this transformative process
Digital Marketing Impact on the Growth of Small Businesses in Morocco: A Case Study of Jumia
Get PDFThis study looks at how digital marketing has affected Moroccan small businesses' expansion, using Jumia, one of the nation's top e-commerce platforms, as a case study. According to the report, digital marketing significantly and favorably influences the expansion of small businesses on Jumia. Companies who believe digital marketing works better than those who don't claim faster growth rates. Furthermore, there exists a favorable correlation between the degree of confidence in Jumia's online reviews and ratings and the probability of endorsing Jumia. The survey also pinpoints elements that have a major impact on consumers' happiness with Jumia's digital marketing tools. These results imply that internet marketing can be an effective strategy for business growth, which has significant consequences for Moroccan small firms
The Impact of Sustainable Advertising Campaigns on Consumer Behavior
Get PDFThis study examines how sustainable advertising campaigns impact consumer purchasing behavior through a qualitative, phenomenological approach involving 20 participants. Findings indicate three main influences: factors affecting the decision-making process, the impact of sustainability on individuals, and brand trust and loyalty. The decision-making process was most influenced by "individual contribution and responsibility," coded 17 times, showing its strong role in consumer choices, while product quality and efficiency had a lesser impact. The concept of being a "conscious consumer" emerged as the most significant individual influence, indicating that sustainable advertising effectively raises awareness. In terms of brand impact, "brand trust" was more frequently noted than "brand loyalty," suggesting that while sustainable ads build trust, they do not always convert it into loyalty. Overall, the study underscores the importance of responsibility, awareness, and trust in consumer behavior influenced by sustainable advertising
The Impact of Country of Origin on U.S. Consumer Intentions
Get PDFThe country of origin (COO) effect plays a crucial role in consumer decision-making, particularly in a globalized marketplace where it acts as a heuristic influencing perceptions of product quality, brand image, and trust. This study examines the impact of COO on U.S. consumers' purchase intentions, with a specific focus on Turkish origin products and broader COO related dynamics. Using data from 255 U.S. based participants, the research explores COO's function as a cognitive cue shaping consumer evaluations across product categories. Key demographic factors, including education level and duration of residence in the U.S., are analyzed to provide a nuanced understanding of COO’s influence. The findings reveal COO's dual impact: shaping perceptions of Turkish products while also uncovering broader patterns in how COO influences consumer attitudes and purchase decisions. Country image emerges as the strongest predictor of purchase intention, followed by COO perception and Türkiye specific associations. In contrast, product specific attributes like quality and value show limited direct effects, emphasizing the dominance of macro-level perceptions in global consumer behavior. This study provides actionable insights for marketers seeking to leverage COO effectively in positioning strategies. It also contributes to the literature on international trade by offering a detailed analysis of the interplay between COO and consumer behavior, particularly in the context of emerging markets like Türkiye
Examining The Impact of Income - Expense Ratios on Bank Success Using Machine Learning Methods
Get PDFThe study aims to examine the success of banks in the banking sector in terms of financial ratios. In this context, income-expense structure ratios for 24 selected banks operating in Türkiye for the period 2012-2022 were used. In the study, Net Operating Profit (Loss) / Total Assets was considered as the dependent variable. For each year of the 2012-2022 period, the average of the relevant variable was taken, and banks above the average were coded as successful, while those below were coded as unsuccessful. The examination of the period, especially considering the average taken for each year, allowed for the consideration of any emerging vulnerabilities or opportunities given the different cyclical conditions. Classification algorithms are used to determine which of the predefined classes a data point belongs to. The study predicted the 264 data points for the 24 banks for the period 2012-2022 using machine learning methods (Logistic Regression, k-Nearest Neighbors, Support Vector Machines, Artificial Neural Networks, CART, Random Forest, and Light Gradient Boosting Machine). According to the findings, the highest accuracy, precision, recall, and F1 score values among the machine learning methods used were shown by XGBoost, while the lowest values were shown by the KNN method. When examining the findings in terms of income-expense structure ratios, the most effective criteria for determining the success of a bank's operations were found to be total income / total expenses, net interest income after specific provisions / total assets, and other operating expenses / gross operating profit. The study found that banks maintaining a balance between income and expenses were successful. Among the machine learning methods used to determine the financial success of banks, XGBoost showed the highest performance. Additionally, the most effective criteria for assessing banks' operational success were identified, highlighting that these criteria are significant indicators for understanding bank performance. This study demonstrated the effectiveness of machine learning methods in evaluating the financial structures of banks and provided an important foundation for future research
The Importance of Digital Transformation in the Automotive Industry
Get PDFDigital transformation in the automotive industry is undergoing a significant evolution through the use of technological innovations and in particular 3D printing technology. This paper has highlighted the complexity and importance of digital transformation in the automotive industry and discussed in detail the basic principles and advantages of 3D printing technology. By discussing the challenges, needs and adaptation requirements that the industry faces in the digitalization process, the application of 3D printers to automotive spare parts production and its current status and implications are examined. Issues such as cost and process efficiency, local production and supply chain optimization play an important role in addressing the economic and operational impacts of digital transformation in the automotive industry. In this context, reducing environmental impacts and adopting sustainability principles are critical in determining the future role of 3D printer technology. As a result, digital transformation in the automotive industry represents a vision of the future shaped by the use of 3D printing technology. The integration of these technological changes into the industry and a deep understanding of their impact is critical for companies to gain a competitive advantage, and therefore, advances in this field need to be closely monitored and understood
The Importance of Regulatory Support in the Promotion of Green Entrepreneurship
Get PDFThe idea of green entrepreneurship has become increasingly popular as the globe struggles to address the problems caused by climate change and environmental deterioration. Green business owners are essential in creating novel solutions to environmental problems and promoting economic expansion. However, a favorable regulatory environment is crucial for the development of green entrepreneurship. In-depth research is presented in this article to examine the role that regulations have in encouraging and supporting green entrepreneurship. It examines different aspects of regulatory assistance, such as institutional processes, financial incentives, policy frameworks, and market rules. The results emphasize the crucial part that efficient regulatory assistance plays in hastening the shift to a green and sustainable economy
Analysis of International R&D Center Investment Decisions Using AHP Methodology
Get PDFThis paper aims to identify the policies that influence the location decisions of multinational firms’ R&D centers in Türkiye and China. It compares the incentive policies for R&D activities in Türkiye and China, analyzes the political factors required for R&D centers, and conducts a comparative analysis of the human resources and legal regulations required for R&D activities. The results of this study reveal important insights into the effectiveness of policies towards R&D activities in Türkiye and China. Additionally, the identification of the factors required for R&D activities in Türkiye and China can inform the location decisions of both domestic and multinational firms’ R&D centers in these regions
The Importance of Air Cargo Transportation for Country Economies
Get PDFAir cargo alone accounts for approximately 1% of world trade and 35% of world trade with its cargo volume. This situation shows that air cargo transportation is necessary for the fast and safe transportation of valuable cargo. In fact, competitiveness in the global economy depends on speed, trust and the ability to offer high-quality products at affordable prices worldwide. In addition, air cargo transportation is a sector that facilitates trade, creates employment and contributes to global economic development. The main purpose of this study is to determine and evaluate the effects of air cargo transportation on country economies. In this context, the development process of air cargo transportation is discussed in terms of its historical, institutional and economic development. In addition, the airports used, which are elements of air cargo transportation, were also examined. Finally, in line with the findings obtained from the literature reviewed, the effects of air cargo transportation on the country's economies were determined and evaluated. As a result, air cargo transportation has an important place in global trade
Analysing the Effect of Inflation on Economic Growth in Türkiye's Industrial Sector
Get PDFThis paper examines the effect of inflation on economic growth of the industrial sector in Türkiye from 1998:Q1 to 2022:Q4. To achieve this objective, the producer price index is used as a measure of industrial inflation and industrial production index as a measure of the growth of industrial sector. Also, the study captures the effect of exchange rate and unemployment rate. Using a Vector Autoregressive model and Block Exogeneity Granger Causality test, the empirical results suggest that a shock in inflation causes economic growth in the industrial sector to decrease in the short run, increase slightly towards the long run but later drop continually until it becomes stabilized. Also, a shock in economic growth of industrial sector causes a slight increase in the short run and keeps fluctuating in the long run. A shock in unemployment rate causes growth to increase in the short run but fluctuate in the long run. A shock in exchange rate causes growth to decrease in the short run but in the long run it is observed to decrease. The implication of these results is that, in Türkiye inflation causes the economic growth to drop in the short run but eventually stabilizes in the long run. Furthermore, economic growth Granger causes inflation while inflation does not Granger cause economic growth. Based on these findings, policymakers should not over-jealously promote growth that exerts huge inflationary pressures in the economy. Therefore, policymakers need to put anti-inflationary policies in the forefront of economic policies in Türkiye