nep-cse New Economics Papers
on Economics of Strategic Management
Issue of 2023‒11‒06
eleven papers chosen by
João José de Matos Ferreira, Universidade da Beira Interior

  1. Where Do Social Support and Epistemic Centrality Come From? The Case of Innovators in the French Biotech Industry By Alvaro Pina Stranger; Germán Varas; Valentin Gerard
  2. Understandings of the AI business ecosystem in South Korea: AI startups' perspective By Nam, Jinyoung; Kim, Junghwan; Jung, Yoonhyuk
  3. Investing in Business Model Innovation and adaptation during crisis period: Evidence from the Moroccan Insurance sector in Covid-19. By Leila Benslimane; Salah Eddine Kartobi; Abdessamad Ejjiar
  4. The disruptive strategy of Orange in the payment and banking industry in Africa and its knowledge links with its strategy in the European market By Chick, Essence Ambe; Vialle, Pierre; Whalley, Jason
  5. Political connections, business groups and innovation in Asia By Commander, Simon; Estrin, Saul; De Silva, Thamashi
  6. Strategic Management of the Agro-Industrial Network of first Transformation in La Pampa, Argentina By Santiago Ferro Moreno; Santiago Agustin Pérez
  7. Profitability, investment and capital productivity By DiMaria, charles-henri
  8. Current approaches to the study of local entrepreneurial ecosystems By Voloshinskaya, Anna (Волошинская, Анна); Gertsovskiy, Dmitry (Герцовский, Дмитрий); Ivanova, Margarita (Иванова, Маргарита); Semenova, Roza (Семенова, Роза); Zemtsov, Stepan (Земцов, Степан)
  9. Extensions of intellectual property in Media Industry: The Korean case By Jang, Chaeyun; Kim, Seongcheol
  10. Developing science and technology – the role of Big Tech By Damásio, Bruno; Mendonça, Sandro; Silva, Eduardo
  11. Adoption of Artificial Intelligence in an Organizational Context: Analysis of the Factors Influencing the Adoption and Decision-Making Process By Eitle, Verena

  1. By: Alvaro Pina Stranger (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique); Germán Varas (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique); Valentin Gerard (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)
    Abstract: The link between entrepreneur's network centrality and innovation performance has been broadly studied in knowledge-intensive industries such as biotechnology. However, little research has been focused on the social mechanisms that allow innovators to reach such a central position. We contribute to the existing literature by exploring the factors that may lead or prevent entrepreneurs from reaching a central position in their professional networks of knowledge exchange and social support in French biotech milieu. We use a unique quantitative and qualitative database of 138 and 126 biotech entrepreneurs observed, respectively, in 2008 and 2013. When accounting for entrepreneurs' position in the social (friendship) and knowledge (advice) domain, we draw on three dimensions through which entrepreneurs build their position: their professional experience, their inter-organizational (or political) engagement, and the financial and geographical situation of their company. Results from a regression analysis showed that the specific individual and organizational aspects of the trajectory of the entrepreneurs explain their position in the observed networks. Factors such as the previous experience in the health industry, the training expertise, the international experience, the political engagement, and the geographical and financial situation of the company help entrepreneurs to build up their centrality. The two observations allow us to describe indirectly the evolution of norms that are considered legitimated to carry out innovation in the biotech field.
    Keywords: centrality, biotechnology industry, advice network, friendship network, entrepreneurs, innovation
    Date: 2023
  2. By: Nam, Jinyoung; Kim, Junghwan; Jung, Yoonhyuk
    Abstract: Artificial intelligence (AI) startups are utilizing artificial intelligence technology to produce novel solutions across a multitude of sectors, becoming key players in the AI business ecosystem, signifying AI business networks consisting of technology, business applications, and various industry sectors. Particularly noteworthy is the substantial surge in the initiation and investment in AI startups within South Korea. To gain insight into the AI business ecosystem, this study explores how the ecosystem is collectively understood from AI startups' perspectives in South Korea. We conducted semi-structured interviews with 16 CEOs and managers in AI startups in South Korea. This study conducted a core-periphery analysis of the social representation of the AI business ecosystem. By doing so, it bridges an existing knowledge gap and enriches the body of research related to the AI business ecosystem, as well as the current opportunities and challenges it faces. Our findings not only inform and guide practitioners, governments, and businesses alike, but also suggest that continuous discussion among government agencies, large tech companies, and AI startups is crucial for establishing a more sustainable AI business ecosystem.
    Keywords: Artificial intelligence (AI), AI startups, AI business ecosystem, Social representations theory
    Date: 2023
  3. By: Leila Benslimane (UCA - Université Cadi Ayyad [Marrakech]); Salah Eddine Kartobi (UCA - Université Cadi Ayyad [Marrakech]); Abdessamad Ejjiar (UCA - Université Cadi Ayyad [Marrakech])
    Abstract: This article aims to examine the impact of the COVID-19 pandemic on business model innovation and adaptation within Morocco's insurance industry. Employing a multiple case study approach involving six insurance firms, the study assesses the crisis's influence on firm performance during the initial pandemic year. Data was collected through comprehensive online surveys and semi-structured interviews, investigating the implementation of innovative and adaptive business models. The findings demonstrate that the crisis significantly drove business model innovation and adaptation for the firms. Moreover, firms that successfully incorporated more adaptive elements demonstrated improved performance. This research underscores the importance of business model innovation and adaptation in navigating crises and enhancing resilience. It contributes to the limited literature on the COVID-19 impact on the insurance sector, shedding light on strategies that foster enduring success amid challenging circumstances.
    Keywords: Business model innovation, Business model adaptation, Covid-19, Crisis, Insurance
    Date: 2023–10–04
  4. By: Chick, Essence Ambe; Vialle, Pierre; Whalley, Jason
    Abstract: This study examines the trajectory of Orange's payment and banking services in Africa and the role of experiential knowledge, resources, and capabilities accumulated in Africa and Europe. The study is carried out through a chronological analysis of annual reports from 2008 to 2021, identifying events in financial innovations. Results show that, from the categorization of Orange's mobile financial and banking services within this study scope, it started from simple and secured mobile payments and expanded to advanced financial services, such as credits and savings to meet the growing demand of its markets. Also, there was a strong synergy between accumulated experiences in Africa and Europe, enabling rapid innovation development at minimal costs. Finally, while the Orange money innovation was disruptive in Africa, as it responded to the needs of the huge lowend market in Africa, which has been deprived of banking service, this was not the case with its transfer to Europe, which is an advanced market with numerous established players.
    Keywords: Orange, Africa, disruption, mobile payment, mobile telecommunications, banking
    Date: 2023
  5. By: Commander, Simon; Estrin, Saul; De Silva, Thamashi
    Abstract: It is acknowledged that Asia’s remarkable economic achievements of the past 50 years build on institutional arrangements very different from the West, including the central role of business groups (BGs) as an organisational form. As the Asian economies move from extensive to intensive growth, we enquire whether the BG format will be as effective going forward, especially with respect to innovation. We argue that the ubiquity of BGs in Asia has been associated with the accretion of significant market power, as well as high overall concentration in the economy as a whole. Our empirical work draws on a sample of more than 9000 Asian firms across seven countries. We find that, unsurprisingly, given their access to additional resources, BGs are more innovative than non-affiliates. However we also find that the wider consequences of the BG form for innovation may be negative.
    Keywords: innovation; R&D; Asian business groups; market power; overall concentration
    JEL: O53 L22 O30
    Date: 2023–09–05
  6. By: Santiago Ferro Moreno (Universidad Nacional de La Pampa); Santiago Agustin Pérez (Universidad Nacional de La Pampa/CONICET)
    Abstract: The objective of this work is to measure and analyze the management of resources and strategic capacities of the agro-industrial organizations of the first transformation of the province of La Pampa, Argentina. The strategic management of the network, measured in aggregate terms, can be classified as intermediate. The aspects most positive are the maintaining image of the company, the importance of price and the strategic value that know-how has for businesses. As factors with performance to improve, there are the lack of conventions and agreements with scientific and technical organizations that promote innovation processes and the non-use of a command board for the strategic and operational management of the business. The flour, dairy and balanced food complexes were the ones that presented the best strategic management performance. The strategic management of first transformation agro-industries is directly related to capacities (management training and seniority in the business) and resources (scale).
    Keywords: competitive performance, territorial development, resources and capabilities, added value
    Date: 2023–10
  7. By: DiMaria, charles-henri
    Abstract: Capital accumulation is pivotal to produce goods and services. Common knowledge is that entrepreneurs invest because of potential profit. However, the various theoretical frameworks as well as empirical studies are not providing unequivocal evidence of direct causality between profit and investment decisions. In this document we use Granger symetric causality test as well as asymmetric causality test first proposed by (Hatemi-J, 2012). We examine possible causality between profit and investment, profit and unit labour cost and between investment and productivity.
    Keywords: Capital productivity, rate of profit, asymmetric causality test
    JEL: E22 O47
    Date: 2023–07–21
  8. By: Voloshinskaya, Anna (Волошинская, Анна) (The Russian Presidential Academy of National Economy and Public Administration); Gertsovskiy, Dmitry (Герцовский, Дмитрий) (The Russian Presidential Academy of National Economy and Public Administration); Ivanova, Margarita (Иванова, Маргарита) (The Russian Presidential Academy of National Economy and Public Administration); Semenova, Roza (Семенова, Роза) (The Russian Presidential Academy of National Economy and Public Administration); Zemtsov, Stepan (Земцов, Степан) (The Russian Presidential Academy of National Economy and Public Administration)
    Abstract: Relevance of the research. In economics, a variety of approaches are used to study local entrepreneurial ecosystems - from statistical methods to network analysis, which allow to quantify the scale of a phenomenon or the magnitude of the potential effect. In the case when it is necessary to determine the key causes and factors of the process under study, the methodological tools of the scientist can be expanded through the methods of sociological survey of entrepreneurship. The results of the presented work will allow not only to expand the methodological apparatus of researchers of local SME ecosystems, but also to develop proposals for improving the effectiveness of state support measures for entrepreneurship in the regions of Russia. The aim of the study is to reveal the possibilities of using different methods to study entrepreneurship at the local level, as well as to analyze and generalize Russian and foreign experience in studying entrepreneurship. Research methods and methodology are comparative analysis, system analysis, qualitative analysis, historical and economic analysis. Scientific novelty is the author's classification of possible sociological approaches to the study of SMEs within local entrepreneurial ecosystems, as well as systematization of Russian and international empirical studies of entrepreneurship at the local level and identification of factors that stimulate business development. Results. Sociological methods, namely in-depth interviews, allow us to explore key causal relationships and offer new research hypotheses that can be further evaluated using statistical analysis methods. Achieving sustainable socio-economic development of the region will be facilitated by the implementation of targeted programs to support SMEs, taking into account regional institutional conditions and the specifics of the development of local entrepreneurial ecosystems. The key factors for the development of SMEs are the high volatility of markets, which motivates the development of new ideas for business, the availability of physical and commercial infrastructure. High risks for SMEs are associated with insufficient functional coordination of power structures, the lack of dialogue between business and government, the quality of government support measures implemented and business financing mechanisms. For start-up young entrepreneurs (under 30), the main barriers are the lack of start-up capital and the necessary business competencies, the lack of a business idea, and high taxes.
    Keywords: entrepreneurial ecosystem, SMEs, sociological research methods, regional economy
    JEL: M21 O18
    Date: 2023–06–03
  9. By: Jang, Chaeyun; Kim, Seongcheol
    Abstract: Content-based IP is the core engine to create a ripple effect in the media industry, distinctive from a prevalent distribution strategy of contents. Despite being the latecomer in the IP business, The Korean media industry recognizes the importance of a content-based IP extension strategy. Therefore, this case study aims to identify common factors of successful IP extension cases in Korea and propose a typology of successful IP extension paths. Utilizing the resource-based theory (RBV) and knowledge-based view (KBV) to redefine content based-IP as intangible resources owned by the media industry, this study proposes this theoretical framework for the case study of IP extension analysis. The case study of IP extensions in Korea, which emerged from the broadcasting, web comics and web novels, provides implications for media industries seeking content-based IP extension strategies.
    Keywords: IP(Intellectual property), Content-based IP, IP extension, Korean media industry, RBV (resource-based view), Case study
    Date: 2023
  10. By: Damásio, Bruno; Mendonça, Sandro; Silva, Eduardo
    Abstract: This work aims to conduct a scientometric study on the research published by digital platforms known as Big Tech (Amazon, Apple, Facebook, Google and Netflix), giving an overview of the publications' growth, distribution by document's types, research themes and affiliations' profile. All data was retrieved from the Scopus' database, only publications in English and that had an associated DOI (digital object identifier) were considered. Given Big Tech's financial and development strategies, they are present in many markets outside their core activity, enabling them to be at the forefront in innovation. Hence, Big Tech invest in research related activities such as scientific publishing, showing a great surge in their levels of publications from 2015 onwards. "Computer Science" is the most popular journal subject area in which they tend to publish. In the publications' authorship there were no outstanding international partnerships found, with the Big Tech companies' researchers being the main authors, nonetheless a propensity to work with universities was identified. These results help to profile Big Tech's research activity,
    Keywords: Big Tech, research, scientometric, publication, digital platforms
    Date: 2023
  11. By: Eitle, Verena
    Abstract: The emergence of Artificial Intelligence (AI) shifts the business environment to such an extent that this general-purpose technology (GPT) is prevalent in a wide range of industries, evolves through constant advancements, and stimulates complementary innovations. By implementing AI applications in their business practices, organizations primarily benefit from improved business process automation, valuable cognitive insights, and enhanced cognitive engagements. Despite this great potential, organizations encounter difficulties in adopting AI as they struggle to adjust to corresponding complex organizational changes. The tendency for organizations to face challenges when implementing AI applications indicates that AI adoption is far from trivial. The complex organizational change generated by AI adoption could emerge from intelligent agents’ learning and autonomy capabilities. While AI simulates human intelligence in perception, reasoning, learning, and interaction, organizations’ decision-making processes might change as human decision-making power shifts to AI. Furthermore, viewing AI adoption as a multi-stage rather than a single-stage process divides this complex change into the initiation, adoption, and routinization stages. Thus, AI adoption does not necessarily imply that AI applications are fully incorporated into enterprise-wide business practices; they could be at certain adoption stages or only in individual business functions. To address these complex organizational changes, this thesis seeks to examine the dynamics surrounding AI adoption at the organizational level. Based on four empirical research papers, this thesis presents the factors that influence AI adoption and reveals the impact of AI on the decision-making process. These research papers have been published in peer-reviewed conference proceedings. The first part of this thesis describes the factors that influence AI adoption in organizations. Based on the technology-organization-environment (TOE) framework, the findings of the qualitative study are consistent with previous innovation studies showing that generic factors, such as compatibility, top management, and data protection, affect AI adoption. In addition to the generic factors, the study also reveals that specific factors, such as data quality, ethical guidelines, and collaborative work, are of particular importance in the AI context. However, given these technological, organizational, and environmental factors, national cultural differences may occur as described by Hofstede’s national cultural framework. Factors are validated using a quantitative research design throughout the adoption process to account for the complexity of AI adoption. By considering the initiation, adoption, and routinization stages, differentiating and opposing effects on AI adoption are identified. The second part of this thesis addresses AI’s impact on the decision-making process in recruiting and marketing and sales. The experimental study shows that AI can ensure procedural justice in the candidate selection process. The findings indicate that the rule of consistency increases when recruiters are assisted by a CV recommender system. In marketing and sales, AI can support the decision-making process to identify promising prospects. By developing classification models in lead-and-opportunity management, the predictive performances of various machine learning algorithms are presented. This thesis outlines a variety of factors that involve generic and AI-specific considerations, national cultural perspectives, and a multi-stage process view to account for the complex organizational changes AI adoption entails. By focusing on recruiting as well as marketing and sales, it emphasizes AI’s impact on organizations’ decision-making processes.
    Date: 2023–10–13

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