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Jan 7, 2025

The feasibility of ChatGPT's integration into logistics processes

Recent times have seen significant advancements in AI and NLP technologies, poised to revolutionize logistical decision-making across industries. This study investigates integrating ChatGPT, an advanced AI language model, into strategic, tactical, and operational logistics. Examining its applicability, benefits, and limitations, the study delves into ChatGPT's capacity for strategic logistics planning, facilitating nuanced decision-making through natural language interactions. At the tactical level, it explores ChatGPT's role in optimizing route planning and enhancing real-time decision support. The operational aspect scrutinizes ChatGPT's capabilities in micro-level logistics and emergency response. Ethical implications, encompassing data security and human-AI trust dynamics, are also analyzed. This report furnishes valuable insights for the logistics sector, emphasizing AI's potential in reshaping decision-making while underscoring the necessity for foresight, evaluation, and ethical considerations in AI integration. In this publication, it is assumed that ChatGPT is not entirely reliable for decision-making in the logistics field: at the strategic level, it can be effectively used for "brainstormin" in preparing decisions, but at the tactical and operational level, the depth of the knowledge is not sufficient to make appropriate decisions. Therefore, the answers provided by ChatGPT to the defined logistic tasks are compared with real logistic solutions. The article highlights ChatGPT's effectiveness at different levels of logistics and clarifies its potential and limitations in the logistics field.

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Jun 20, 2023

Stimulating environmental performance through green human resource practice: Does green transformational leadership matter?

Businesses are essential in nations’ economic development, green practice, and environmental performance, particularly in emerging countries. Such economic development needs environmental-friendly business practices to attain higher environmental performance goals of businesses. Nevertheless, a plethora of studies centered on the direct effects of environmental management initiatives (EMI) and green innovation practices (GIP) on environmental performance (EP). Still, the direct and indirect impacts of green human resource practices (GHRPs), green transformational leadership (GTL), and other constructs were ignored. This study analyzes the direct and indirect relationships of GHRPs, EMI, and GIP toward improving EP. In addition, the study examines the moderation role of GTL between GHRPs and EP under the theoretical framework of ability, motivation, and opportunity (AMO) theory. Empirically, this present study utilized a survey method to assemble data from 535 business entities in South Africa. The analysis showed that GHRPs directly and significantly influenced EMI, GIP, and EP. EMI and GIP also directly and significantly influenced EP. Finally, GTL significantly affects the interplay between GHRPs and EP. This study’s results provide a managerial and theoretical contribution to how GHRPs, EMI, GIP, and GTL facilitate a corporate EP. The present paper enriches the theory of AMO by incorporating new variables such as GHRPs, GTL, EMI, and GIP, towards enhancing EP. Also, this study provides fresh insight into the impact of the mediation role of EMI between GHRPs and EP, mediation role of GIP between GHRPs and EP, thereby contributing to extant literature. The study emphasizes the need for businesses and managers to apply green human resource policies to make employees more committed to environmental sustainability, promoting EP in the long term.

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Nov 8, 2024

How do product innovation, internet marketing and brand identity affect business performance of small and medium-sized agri-food processing?

Despite having a strategic position in supporting the Indonesian economy, the productivity of SME’s is still suboptimal. The increase in the number of SME’s has not been followed by increased competitiveness due to various limitations experienced by this sector. In an effort to provide a comprehensive picture in improving the performance of food processing SME’s in developing countries such as Indonesia, the purpose of this study was to examine the function of product innovation, internet marketing, and brand identity in shaping competitive advantage having an impact on business performance. This research is focused on food processing SME’s in the city of Bogor. The number of samples used was 100 SME’s. The sampling method used the non-probability sampling method with a snowball sampling technique. The data obtained were analyzed using the Structural Equation Model (SEM). Based on the age characteristic of business actors, the majority of business actors were 40–50 years old, of which 52% had their final formal education at high school level. As many as 61% of respondents had attended business training. Based on the results of the Partially Least Square (PLS) SEM analysis, it was found that product innovation, internet marketing and brand identity all had a significant positive effect on competitive advantage and business performance. The influence of brand identity on competitive advantage had the greatest effect, with a value of 0.451. This study contributes to existing research by examining the determinants of the business performance of processed food SME’s through the holistic model offered. This research is innovative because the business raises new issues related to internet marketing by SME’s and investigates them empirically.

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Jan 15, 2025

Is AI image generation a creative or optimize tool in product design process?—The usage of AI image generation tools for vehicle shape as an example

This study explores the shape thinking processes and decision-making factors of designers when using AI image generation tools for conceptualizing the shapes of two-wheeled vehicles through four design tasks. Eight designers were invited to create hand-drawn sketches based on a specific aesthetic direction (technological geometry), followed by a shape divergence exercise using two AI graphics tools, Stable Diffusion and Vizcom, to generate images from text prompts. After selecting the designs closest to their original concepts and their favorite designs, the designers used an iPad to explore different shape directions (technological biology) for partial shape modifications. Finally, retrospective interviews were conducted to understand whether there were differences in designers' thinking process regarding the use of various AI tools for shape conceptualization, as well as their focal points regarding design modification and shape thinking at different stages of the process. The research findings indicate that current AI tools are more suitable for shape divergence. If designers wish to achieve shape convergence, they need to be more familiar with the various settings of AI image generation tools and understand which prompts significantly influence specific shape characteristics. Designers' perceptions of shape modification primarily revolve around: 1. Outline contours, 2. Parting lines, 3. Variations in surface curvature, and 4. The resulting features (light and shadow effects). Furthermore, it is recommended that future AI image generation tools, if developed as professional assistive tools for product design, should provide two modes—shape divergence and convergence—focusing on both the main shape and details. Additionally, it is suggested that developing AI-3D technologies should address the four key aspects of shape manipulation presented in this study, offering adjustments for overall appearance and detailing the contour lines of parts, including the manipulation of surface curvature and shape positioning.

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Aug 28, 2024

Beyond Cerdá: Public housing in the Barcelona periphery

Mass migration into the city of Barcelona in the 1950s created an estimated deficit of 100,000 dwellings by the close of the decade, and by the early 1960s an estimated 100,000 people were living in shanty towns in and around the city. In an effort to address this crisis, central State and local housing authorities constructed a series of housing estates in the urban periphery, beyond the central ensanche (expansion), the centrepiece of Ildefonso Cerdá’s 1860 master plan for the city. Using secondary sources, original photographs taken at the end of the Franco era, and more recent Google Earth images, this article discusses the role of the main housing authorities at the time, and examines the planning process that allowed the construction of these housing estates and their subsequent demolition or remodelling in the post-Franco era. The article finds that the public authorities allowed planning regulations to be contravened, or used loopholes and special measures within the planning laws, to construct housing units of minimal dimensions and generally poor quality in areas often zoned for other uses. More recently, “special plans” have been used effectively to improve or replace the majority of these estates. The article concludes that political will was the dominant factor in determining housing construction in the Franco era with the planning process being largely an irrelevance, and that residents’ associations have led the struggle for improvements in these estates in the post-Franco era, with the revised planning laws providing an effective framework for change.

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Aug 30, 2024

Smart cities in Lima: A transformative model for a sustainable future

Smart cities incorporate fundamental aspects such as sustainability and citizens’ well-being. Therefore, the objective of this study is to analyze the feasibility and effectiveness of the implementation of an evaluation model of the transformation processes towards smart cities as a strategy to improve the state of the transformation processes in Lima, Peru. The research is descriptive and basic. A questionnaire was administered to 80 municipal officials in Lima, focusing on the variable “smart cities evaluation model”, covering three key dimensions: open data, smart public transport and energy efficiency, with a total of 15 questions and the variable “state of the transformation processes”, analysed through the dimensions of educational level of the population and municipal budget, with 10 questions. The results revealed that 48% expressed a gap in terms of the availability and quality of accessible information. 53% argued that stronger energy conservation and sustainability strategies need to be implemented. In addition, 53% felt that the education level needs to focus on improving local education systems. In conclusion, transformation processes drive economic, social and environmental development, improving the quality of life and promoting equality among citizens. This study contributes to a broader understanding of how to address these challenges in order to build more sustainable and liveable cities in the future.

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