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on Economics of Strategic Management |
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Issue of 2024–12–09
eight papers chosen by João José de Matos Ferreira, Universidade da Beira Interior |
| By: | Wenxiao WANG (Zhongnan University of Economics and Law); Shandre THANGAVELU (Sunway University, The University of Adelaide) |
| Abstract: | This study examines the relationship between city agglomeration and firm-level performance of global value chains (GVCs) in China. Using a novel dataset of night-time light data and survey data from Chinese manufacturing firms, the dynamic changes of urban agglomeration in China are studied, analysing their impact on firm-level productivity, GVC participation, and GVC upstreamness. The results highlight that the concentration of economic activity in urban areas can lead to productivity gains for firms, especially in the upstream stages of GVCs, which is characterised by higher value-added activities and better access to knowledge and technology. The study also finds that urban agglomeration promotes industrial specialisation and human capital spillovers, further improving the upstreamness of firms in GVCs. Firms in larger cities also tend to be more productive, participate more in GVCs, and are closer to the final demand of GVCs. |
| Keywords: | city agglomeration, global value chains, productivity, upstreamness, GVC participation |
| JEL: | F14 F23 |
| Date: | 2024–06–18 |
| URL: | https://d.repec.org/n?u=RePEc:era:wpaper:dp-2024-14 |
| By: | Villalba, Maria Luisa; Spinola, Danilo; Ruiz, Walter |
| Abstract: | This article explores the coevolutionary dynamics of immature innovation systems (IMIS), focusing on the role of marginalized agents often excluded from Conventional Innovation Systems (CIS). Marginalized agents, such as informal entrepreneurs or low-resource communities, are key actors in addressing local challenges but are typically overlooked in mainstream innovation processes, making it crucial to understand how they can be integrated into broader systems. Using an Agent-Based Model (ABM) based on Villalba (2023) and Ruiz et al. (2016), we examine how interactions between agents with different innovation and inclusion capabilities drive system evolution. The model integrates learning and unlearning processes, allowing agents to adapt and build capabilities over time. Through simulations that vary social thresholds, agent configurations, NOPI (Needs, Opportunities, Problems and Ideas) complexity, and the presence or absence of learning, we find that while higher social thresholds and complex NOPIs foster agent specialization, they can limit the inclusion of marginalized agents. Conversely, the absence of learning results in system stagnation despite increased short-term inclusion. By adopting a system-wide perspective, this paper contributes to the literature on innovation systems by analyzing how the relationships between marginalized and conventional actors influence inclusion dynamics. Our ABM captures the complex interplay of inclusion, coevolution, and capability complementarity within IMIS, offering deeper insights into how marginalized agents drive inclusive innovation and emphasizing the importance of fostering both innovation and inclusion capabilities for sustainable, equitable outcomes. |
| Keywords: | Coevolution; Heterogeneous agents; Immature innovation system; Developing countries; Excluded agents |
| Date: | 2024–11–08 |
| URL: | https://d.repec.org/n?u=RePEc:akf:cafewp:31 |
| By: | Iorio, Roberto (CELPE - CEnter for Labor and Political Economics, University of Salerno, Italy); D'Amore, Rosamaria (Link Campus University, Department of Human Sciences); Lubrano Lavadera, Giuseppe (Link Campus University, Department of Human Sciences) |
| Abstract: | Analyzing data from the 2020 Community Innovation Survey for Italy, we study the phenomenon of eco-innovation, that is the introduction of Innovations With Environmental Benefits (IWEBs). We aim to give an idea of the attitude of firms towards the changes deriving from climate change, of the magnitude of ecoinnovation phenomenon in Italy, of the benefits deriving from eco-innovations, of the reasons that induce firms to introduce them. We analyze whether and to what extent the importance attributed to environmental factors is effectively translated in the introduction of IWEBs, if and how the importance given to different motivations for introducing an IWEB is related to the number of benefits it generates. We also study if and how some characteristics of the firms, like sector, size, human capital, have a relationship with the probability to introduce an IWEB, both directly and influencing the motivations related to the eco-innovation. |
| Keywords: | Environmental economics; Eco-innovations; Determinants of innovation |
| JEL: | O31 Q55 Q58 |
| Date: | 2024–11–19 |
| URL: | https://d.repec.org/n?u=RePEc:sal:celpdp:0169 |
| By: | Phouphet KYOPHILAVONG (National University of Laos); Shandre Mugan THANGAVELU (Sunway University, University of Adelaide); Inpaeng SAYVAYA (Champasack University) |
| Abstract: | This paper examines the effects of urban amenities on the probability of firms exporting and firm productive performance in the Lao People’s Democratic Republic (Lao PDR). A logit model was used, finding that urban amenities have a positive and statistically significant effect on firm productivity. However, the results do not indicate any impact on the probability of firms exporting. Based on these results, both the government and private sector should invest more in improving urban amenities to facilitate efficient business operations and to enhance firm competition in global markets. In addition, the government should invest more in human capital and production facilities, especially in information and communications technology, to increase firm performance as well as the probability that they will export. |
| Keywords: | productivity, urban amenities, exporting |
| JEL: | O12 L21 L11 D24 |
| Date: | 2024–06–18 |
| URL: | https://d.repec.org/n?u=RePEc:era:wpaper:dp-2024-11 |
| By: | Xu, Tao; Hu, Yabei |
| Abstract: | The government of China, to hone manufacturing’s competitive edge, has adopted a series of regional industrial policies to stimulate advanced manufacturing clusters as facilitators of agglomeration effects, utilisers of factor endowments, and implementers of innovation solutions, by playing the role of facilitating state. Focusing on advanced manufacturing cluster policies in East China’s Jiangsu Province, the research employs a mixed data analysis methodology on a sample of 52 documents collected from the Jiangsu government and affiliated units. The policy orientations and priorities are examined under the triple analytical framework in terms of themes, instruments, and controls, applying textual mining and the PMC index model. The results reveal the alignment of policy themes with high-quality development strategy, the government preferences for the supply dimension in policy instruments, the emphasis on planning directive in policy controls, together with the relatively high internal consistency of the AMC policy toolkit by Jiangsu. Therefore, the research spotlights the importance of leveraging comparative strengths based upon the facilitating state institution, and of deploying internally coherent, scientific, and efficient initiatives that exploit more potential of advanced manufacturing clusters to foster sustainable prosperity from the perspective of new structural economics. |
| Keywords: | Advanced Manufacturing Cluster; Regional Industrial Policy; Mixed Text Analysis; Facilitating State; East China’s Jiangsu Province |
| JEL: | L5 L6 O1 O14 O19 O2 O24 O25 O3 O4 R5 |
| Date: | 2023–02–26 |
| URL: | https://d.repec.org/n?u=RePEc:pra:mprapa:120904 |
| By: | Wenxiao WANG (Zhongnan University of Economics and Law, China); Shandre Mugan THANGAVELU (Sunway University, Malaysia and the University of Adelaide, Australia) |
| Abstract: | : This paper uses detailed firm-level and transactional-level trade data to examine the causal relationship between digitalisation and servicification in Chinese manufacturing firms. Using the novel approach of text mining and analysis, this paper constructs two firmlevel measurements of digitalisation and servicification. Further, it explores the impact of digitalisation on services integration within manufacturing activities. We find digitalisation plays a crucial role in enhancing manufacturing servicification, enabling firms to produce and sell more service products. We also highlight that the two mechanisms through which digitalisation promotes servicification are digital technology and profitability. This paper contributes to the existing literature by developing the micro-level evidence of the digital transformation occurring within Chinese manufacturing firms and sheds light on the emerging services-led global value chain upgrading pattern. |
| Keywords: | digitalisation, servicification, manufacturing firms, text mining, text analysis |
| JEL: | F14 F23 |
| Date: | 2024–05–07 |
| URL: | https://d.repec.org/n?u=RePEc:era:wpaper:dp-2024-04 |
| By: | Heny Hendrayati (Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi No.229, 40154, Kota Bandung, Indonesia Author-2-Name: Dede Kurnia Author-2-Workplace-Name: Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi No.229, 40154, Kota Bandung, Indonesia Author-3-Name: Vidi Sukmayadi Author-3-Workplace-Name: Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi No.229, 40154, Kota Bandung, Indonesia Author-4-Name: Frederic Marimon Author-4-Workplace-Name: Universitat Internacional de Catalunya, Immaculada 22. 08071 Barcelona. Spain Author-5-Name: Zarina Denan Author-5-Workplace-Name: University Teknologi MARA, Bandar Puncak Alam Selangor, Malaysia Author-6-Name: Meriza Hendri Author-6-Workplace-Name: Universitas Widyatama, Jl. Cikutra No.204A, 40125, Kota Bandung, Indonesia Author-7-Name: Alvi Furwanti Alwie Author-7-Workplace-Name: Universitas Riau, Pekanbaru 28293, Riau, Indonesia Author-8-Name: Author-8-Workplace-Name:) |
| Abstract: | " Objective - This study aims to investigate how the quality of products and the ability to live-stream impact the competitive advantage of businesses operated by women entrepreneurs in the era of live-streaming. Methodology - The methodology employed in this study was a quantitative approach utilizing an explanatory survey method. The data was collected using online surveys issued to 200 women entrepreneurs who have been in business for over two years and are located across Indonesia. Findings - The data analysis utilized the Structural Equation Modeling (SEM) methodology via the Mplus program. The study's findings suggest that product quality has little impact on competitiveness. In addition, the ability to live-stream does not lessen the impact of product quality on competitiveness. Novelty - The study reveals a compelling discovery: the capacity to live-stream significantly impacts competitiveness. This suggests that live-streaming is better suited as a predictor variable. Live-streaming capability is a crucial factor that entrepreneurs should not overlook, as it has the potential to enhance competitiveness quickly. Type of Paper - Empirical" |
| Keywords: | Product Quality; Live streaming capability; Competitiveness. |
| JEL: | M31 M20 |
| Date: | 2024–09–30 |
| URL: | https://d.repec.org/n?u=RePEc:gtr:gatrjs:jber251 |
| By: | Hajar Fatorachian (Leeds Business School, Leeds, LS1 3HB, Leeds, United Kingdom Author-2-Name: Author-2-Workplace-Name: Author-3-Name: Author-3-Workplace-Name: Author-4-Name: Author-4-Workplace-Name: Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:) |
| Abstract: | " Objective - Artificial Intelligence (AI) has become a pivotal technology in transforming logistics performance. This paper aims to comprehensively understand how AI-enabled solutions improve efficiency, accuracy, and responsiveness in logistics operations. The study focuses on synthesizing current research to explore AI applications across various logistics domains, such as predictive analytics, autonomous vehicles, and smart warehousing. Methodology/Technique - A systematic review approach was used to gather and analyze existing literature on AI applications in logistics. The review covered studies published in recent years, highlighting the advancements and impact of AI on logistics processes. The methodology included selecting relevant sources, categorizing AI applications, and assessing their effects on different logistics functions. Finding - The findings reveal that AI adoption substantially improves logistics operations, including enhanced operational performance, cost reduction, and increased customer satisfaction. Specific AI applications, such as predictive analytics for demand forecasting, autonomous vehicles for transportation, and smart warehousing for inventory management, were identified as key contributors to these improvements. However, challenges such as data privacy concerns and integration complexities were also noted. Novelty - This study's novelty lies in its comprehensive analysis of AI applications across various logistics domains, offering a holistic view of AI's role in optimizing logistics performance. This paper highlights the benefits of AI adoption and addresses the associated challenges, providing insights into future research directions and practical implications for leveraging AI in logistics. Type of Paper - Review" |
| Keywords: | Artificial Intelligence; Logistics; Performance Improvement; Predictive Analytics; Autonomous Vehicles; Smart Warehousing |
| JEL: | C61 C62 D83 |
| Date: | 2024–09–30 |
| URL: | https://d.repec.org/n?u=RePEc:gtr:gatrjs:gjbssr655 |