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Bui Ngoc Tan and Le Duc Niem, Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak Province, Vietnam (2023)

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A study by Bui Ngoc Tan and Le Duc Niem of Tay Nguyen University, Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak Province, Vietnam, published in the International Journal of Professional Business Review, Vol. 8, No. 11, 2023, pages 01–17 (e03134, DOI 10.26668/businessreview/2023.v8i11.3134). The authors apply the entrepreneurial ecosystem model of Isenberg (2011) to a survey of 206 entrepreneurs from 2018 and 2020 startup contests in Dak Lak province, including 108 in community-based tourism. They find that only the finance component (micro-credit, loans, debt refinancing funds and market liquidity) and the culture component (risk tolerance, failure acceptance and ambition) helped early-stage tourism businesses stay afloat.

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“Bui Ngoc Tan and Le Duc Niem, Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak Province, Vietnam (2023).” Original at openaccessojs.com. Archived at Pandemic Darlings, https://pandemicdarlings.com/source-documents/bui-ngoc-tan-and-le-duc-niem-entrepreneurial-ecosystem-and-tourism-fir-953ca4c030/, SHA-256 517b23bd4d20c874641378aa8c465d44c8349f778c561d497712da8b17591359.

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          ENTREPRENEURIAL ECOSYSTEM AND TOURISM FIRMS' SURVIVAL IN THE COVID-
              19 PANDEMIC CRISIS: A CASE STUDY OF DAKLAK PROVINCE, VIETNAM


                                                                                Bui Ngoc TanA, Le Duc NiemB

          ARTICLE INFO                                                      ABSTRACT
Article history:                        Purpose: This paper aims to analyze the entrepreneurial situation during the COVID-
                                        19 pandemic, focusing on firms in the tourism sector. Specifically, we seek to identify
Received 01 August 2023                 factors that belong to the Entrepreneurial Ecosystem (EE) of Dak Lak province,
                                        supporting entrepreneurial firms' survival during the COVID-19 pandemic.
Accepted 02 November 2023               Theoretical framework: We applied the EE model developed by Isenberg (2011) to
                                        the province of Dak Lak, where we analyzed the effects of EE on the ability of new
Keywords:                               businesses in the community-based tourism sector to withstand the impact of the
                                        COVID-19 pandemic.
Entrepreneurial Ecosystems;
COVID-19;                               Design/methodology/approach: We conducted a survey of 206 entrepreneurs, of
Survivals.                              whom 108 are entrepreneurs in the tourism sector or communities-based tourist
                                        destinations. These surveyed entrepreneurs participated in two startup contests the
                                        Dak Lak Province organized in 2018 and 2020.

                                        Findings: It was found that the COVID-19 pandemic particularly devastated small
                                        businesses in the travel and tourism sector. In addition, only two components of EE
                                        provide relief to these companies: FINANCE and CULTURE. Without a doubt,
                                        microcredit, loans, and debt refinancing funds, as well as the general liquidity of the
                                        financial market, help young businesses stay afloat. Additionally, the community's
                                        culture of risk-taking, failure acceptance, success-seeking, and lofty aspirations
                                        underpins their attempt to keep the business afloat during difficult times.

                                        Research, Practical & Social implications: We suggested that Dak Lak province
                                        develop its EE by upgrading its elements as soon as possible to cope with future crises.

                                        Originality/value: This study gives a new direction on the specific approach to
                                        improve the EE of a province of Vietnam and shows ways for better performance of
                                        the EE.

                                        Conclusion: We found that FINANCE and CULTURE components play a positive
                                        role in assisting early-stage tourism firms. Specifically, the availability and
                                        accessibility of the financial market, including micro-credit, support entrepreneurial
                                        firms in maintaining their operation. In addition, the culture of tolerance of risks and
                                        failure, efforts for success, and high ambition is the basis for the action of
                                        entrepreneurs to continue their businesses.

                                        Doi: https://doi.org/10.26668/businessreview/2023.v8i11.3134




      A
        Master in Business Administration. Faculty of Economics, Tay Nguyen University. Vietnam.
      E-mail: bntan@ttn.edu.vn Orcid: https://orcid.org/0009-0008-8143-587X
      B
        PhD in Economics. Faculty of Economics, Tay Nguyen University. Vietnam.
      E-mail: ldniem@ttn.edu.vn Orcid: https://orcid.org/0000-0003-0629-9026


                   Intern. Journal of Profess. Bus. Review. |Miami, v. 8 | n. 11| p. 01-17 | e03134 | 2023.
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                                        Tan, B. N., Niem, L. D. (2023)
Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak
                                             Province, Vietnam


         ECOSSISTEMA EMPRESARIAL E SOBREVIVÊNCIA DE EMPRESAS DE TURISMO NA CRISE DA
           PANDEMIA DA COVID-19: UM ESTUDO DE CASO DA PROVÍNCIA DE DAKLAK, VIETNÃ

         RESUMO
         Objetivo: O presente documento tem como objetivo analisar a situação empresarial durante a pandemia da Covid-
         19, concentrando-se em empresas do setor do turismo. Especificamente, buscamos identificar fatores que
         pertencem ao Ecossistema Empreendedor (EE) da província de Dak Lak, apoiando a sobrevivência de empresas
         empreendedoras durante a pandemia da Covid-19.
         Quadro teórico: aplicamos o modelo EE desenvolvido por Isenberg (2011) à província de Dak Lak, onde
         analisamos os efeitos da EE na capacidade de novas empresas do setor turístico comunitário para suportar o
         impacto da pandemia da Covid-19.
         Design/Metodologia/Abordagem: Realizamos um levantamento de 206 empreendedores, dos quais 108 são
         empreendedores no setor de turismo ou destinos turísticos baseados em comunidades. Esses empreendedores
         pesquisados participaram de dois concursos de start-ups organizados pela Província de Dak Lak em 2018 e 2020.
         Constatações: Constatou-se que a pandemia da Covid-19 devastou particularmente pequenas empresas no setor
         de viagens e turismo. Além disso, apenas duas componentes da EE fornecem alívio a estas empresas: FINANÇAS
         e CULTURA. Sem dúvida, o microcrédito, os empréstimos e os fundos de refinanciamento da dívida, bem como
         a liquidez geral do mercado financeiro, ajudam as empresas jovens a manter-se em atividade. Além disso, a cultura
         da comunidade de assumir riscos, aceitação de falhas, busca de sucesso e aspirações elevadas sustenta sua tentativa
         de manter os negócios em atividade durante tempos difíceis.
         Investigação, Implicações práticas e Sociais: sugerimos que a província de Dak Lak desenvolvesse a sua EE,
         atualizando os seus elementos o mais rapidamente possível para lidar com futuras crises.
         Originalidade/Valor: Este estudo dá uma nova orientação sobre a abordagem específica para melhorar o EE de
         uma província do Vietname e mostra maneiras de melhorar o desempenho do EE.
         Conclusão: O Tribunal constatou que os componentes FINANCEIROS e CULTURAIS desempenham um papel
         positivo na assistência às empresas de turismo em fase inicial. Concretamente, a disponibilidade e a acessibilidade
         do mercado financeiro, incluindo o microcrédito, ajudam as empresas empresariais a manter o seu funcionamento.
         Além disso, a cultura de tolerância aos riscos e ao fracasso, os esforços para o sucesso e a alta ambição são a base
         para a ação dos empresários para continuar seus negócios.

         Palavras-chave: Ecossistemas Empresariais, COVID-19, Sobrevivências.


          LA SUPERVIVENCIA DE EMPRESAS TURÍSTICAS Y ECOSISTEMAS EMPRESARIALES EN LA
            CRISIS DE LA PANDEMIA DE COVID-19: UN ESTUDIO DE CASO DE LA PROVINCIA DE
                                       DAKLAK (VIETNAM)

         RESUMEN
         Objetivo: Este trabajo tiene como objetivo analizar la situación empresarial durante la pandemia de COVID-19,
         centrándose en las empresas del sector turístico. Específicamente, buscamos identificar los factores que pertenecen
         al Ecosistema Empresarial (EE) de la provincia de Dak Lak, apoyando la supervivencia de las empresas
         emprendedoras durante la pandemia de COVID-19.
         Marco teórico: Aplicamos el modelo EE desarrollado por Isenberg (2011) a la provincia de Dak Lak, donde
         analizamos los efectos de EE en la capacidad de las nuevas empresas del sector turístico comunitario para resistir
         el impacto de la pandemia de COVID-19.
         Diseño/Metodología/Enfoque: Realizamos una encuesta a 206 empresarios, de los cuales 108 son empresarios
         del sector turístico o de destinos turísticos de base comunitaria. Estos empresarios encuestados participaron en dos
         concursos de emprendimientos que la provincia de Dak Lak organizó en 2018 y 2020.
         Conclusiones: Se constató que la pandemia de COVID-19 devastó especialmente a las pequeñas empresas del
         sector de los viajes y el turismo. Además, solo dos componentes de EE proporcionan alivio a estas empresas:
         FINANZAS y CULTURA. Sin duda, el microcrédito, los préstamos y los fondos de refinanciamiento de deuda,
         así como la liquidez general del mercado financiero, ayudan a las empresas jóvenes a mantenerse a flote. Además,
         la cultura de toma de riesgos, aceptación del fracaso, búsqueda de éxito y elevadas aspiraciones de la comunidad
         apuntala su intento de mantener el negocio a flote en tiempos difíciles.
         Investigación, Implicaciones prácticas y Sociales: Sugerimos que la provincia de Dak Lak desarrolle su EE
         actualizando sus elementos lo antes posible para hacer frente a futuras crisis.
         Originalidad/Valor: Este estudio da una nueva dirección sobre el enfoque específico para mejorar la EE de una
         provincia de Vietnam y muestra maneras de un mejor rendimiento de la EE.
         Conclusión: Se encontró que los componentes de FINANZAS y CULTURA juegan un papel positivo en la
         asistencia a las empresas turísticas en etapa temprana. Concretamente, la disponibilidad y accesibilidad del

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                                        Tan, B. N., Niem, L. D. (2023)
Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak
                                             Province, Vietnam


         mercado financiero, incluido el microcrédito, ayudan a las empresas a mantener su actividad. Además, la cultura
         de tolerancia a los riesgos y el fracaso, los esfuerzos por el éxito y la gran ambición es la base de la acción de los
         empresarios para continuar con sus negocios.

         Palabras clave: Ecosistemas Empresariales, COVID-19, Supervivencia.




         INTRODUCTION
                  Because entrepreneurship is fraught with risk and uncertainty, it is regarded as the most
         significant output of an entrepreneurial ecosystem (EE) (Stam and Spigel, 2016). Based on their
         assessments, entrepreneurs put their ideas into action by generating goods, services, and
         employment opportunities for the community. On the other hand, crises frequently happen
         unexpectedly and cause issues for businesses, particularly those in the early stages.
         Entrepreneurial firms typically fail for various reasons, but the main ones are lack of
         experience, capital, and other production-related issues combined with a smaller market.
         Therefore, the outcomes of entrepreneurial continuation depend on various factors in an EE in
         addition to the entrepreneurs' skills.
                  EE building is a popular movement that has been started in Vietnam for decades.
         Governments have identified national and regional EEs thriving as the backbones upon which
         innovations and new business models can be built and maintained. This trend has caught on at
         the local level nationwide, inspiring new businesses and revitalizing local economies. The
         documents of the Communist Party of Vietnam's XII and XIII Congresses (2016, 2021) affirm
         that the private economy is a vital driving force in Vietnam's socialist-oriented market
         economy. The EE is the answer to promoting entrepreneurship in Vietnam. Dak Lak province
         (2018) issued Plan No. 2272/KH-UBND to support innovative and entrepreneurial businesses.
         The primary goals of this plan are to promote the development of the provincial EE and boost
         entrepreneurial activities based on the exploitation of intangible assets and 4.0 Revolution
         opportunities that contribute to job creation, labor productivity, and product quality to achieve
         long-term growth. As a result, considerable effort has been expended to improve the provincial
         EE. However, Thao (2020) accessed the EE of Dak Lak province and classified it at an early
         stage.
                  From 2019 to 2022, Vietnam experienced a prolonged COVID-19 epidemic. It has
         resulted in 11 million confirmed COVID-19 cases (the most in Southeast Asia and the 13th in
         the world) and 43 thousand deaths. According to the Vietnamese Ministry of Health, the actual
         number of cases could be four to five times higher (OWID, 2022; VTC Now, 2021). Its
         complicated nationwide developments affected all aspects of the socio-economic system due to
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Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak
                                             Province, Vietnam


         pandemic control measures such as physical distancings or lockdowns. Companies have been
         rapidly reorganizing production, digital transformation, and changing business methods to
         adapt to the epidemic to deal with it.
                The tourism sector of Vietnam was heavily affected by the pandemic. From 2019 to
         2021, the Vietnamese tourism industry has witnessed an unprecedented labor crisis. According
         to the Ministry of Culture, Sports, and Tourism statistics, more than 300 international travel
         companies had to request permit recalls, and 90% of travel businesses had to close. In 2020,
         travel companies had to reduce their workforce by 70-80%. The COVID-19 pandemic has also
         significantly affected the recruitment efforts of tourism-related training institutions, causing
         difficulties in enrollment and resulting in a labor shortage for the tourism industry after
         recovery. Tourism, hotel, and travel companies have reported that the current workforce can
         only meet 50-60% of market demand (Nguyen Thi Thu, 2022).
                This paper aims to analyze the entrepreneurial situation during the COVID-19
         pandemic, focusing on firms in the tourism sector. Specifically, we seek to identify factors that
         belong to the EE of Dak Lak province supporting the survival of entrepreneurial firms during
         the COVID-19 pandemic. We analyze the provincial EE elements' role based on the model
         Isenberg (2011) with a survey of 206 entrepreneurs, of whom 108 are entrepreneurs in the
         tourism sector or communities-based tourist destinations. These surveyed entrepreneurs
         participated in two contests the Dak Lak Province organized in 2018 and 2020.


         LITERATURE REVIEW
         Determinants of Business Survival
                Numerous studies looked into elements that increased a company's chance of surviving,
         particularly in times of crisis. Business processes are highly productive and efficient, as noted
         by Cefis and Marsili (2006), Shiferaw (2009), Cefis and Marsili (2012), Ejermo and Xiao
         (2014), and Zhao and Burt (2018). They claimed that more efficient companies would be more
         likely to stay in business. In order to maintain these businesses, internal factors are crucial.
         According to Bruderl et al. (1992), managers with excellent experience significantly increase
         their firms' productivity, which lowers the likelihood of failure. Thus, it is likely that young
         entrepreneurial firms experience a crisis that is more severe than that experienced by established
         ones. According to Belda and Cabrer's (2018) research, past survival in trying circumstances is
         strongly correlated with prior experience. The ownership structure affects whether or not
         business operations will continue. Companies with two or more entrepreneurs fare better in


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Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak
                                             Province, Vietnam


         terms of longevity (Irastorza, 2006; Arribas and Vila, 2007). Entrepreneurial genders and the
         likelihood of a business failing are closely related. Women business owners' survival rate is
         lower than men's (Boyer and Blazy, 2014; Kato and Honjo, 2015).
                Several works draw attention to various external factors that are beneficial to businesses.
         They emphasized the part played by the EE. The EE is a newly developed concept that refers
         to the interactions between living things and their environments using language from the
         biological sciences (Aldrich, 1990). The first person to use this phrase to describe the shifting
         business environment was Moore (1993), a business advisor for Harvard Business Review. He
         argued that companies don't develop in isolation. They develop through interaction with
         vendors, financial institutions, and clients.
                Consequently, these elements have a direct impact on entrepreneurship as well. Porter
         (1990) argues that knowledge spillovers spark progress in geographically concentrated
         industries. Therefore, technological externalities develop within the sector, and regional
         specialization is crucial to maintaining business operations. According to Muldoon et al.
         (2018), EEs must provide resources to all neighborhood startups and established entrepreneurial
         businesses. An EE tends to produce the resources required for new venture development
         (Muldoon et al., 2018). An EE, however, is a dynamic system, so it depends on a variety of
         factors in order to survive. For instance, the COVID-19 pandemic caused actors along supply
         chains for companies to be hampered by security measures like physical seclusion and social
         lockdown. Because they have fewer resources, new and small businesses are more susceptible
         to this type of crisis. In addition, they operate on limited cash reserves and do not have savings
         to help them survive difficult situations (Shankar, 2020). Budhwar and Cumming (2020) argued
         that developed EE, via their elements, allows entrepreneurs to go through hardship. As an
         element of an EE, government support (such as COVID-19 loans, debt relief, and grants) was
         considered an effective measure to enhance entrepreneurs' ability to cope with the COVID-19
         crisis to continue operating and paying their employees (OECD, 2021). Rukumnuaykit (2022)
         examined how COVID-19 affected Thailand's travel and tourism industry. He discovered that
         most businesses experienced a decline in revenues due to the pandemic, and they made efforts
         to survive by cutting hours worked and wages. If specific EE components work correctly, this
         situation might be less stressful. Additionally, he recommended that the conventional business
         model be modified to accommodate tourists' needs in light of their new post-COVID lifestyles.




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                                        Tan, B. N., Niem, L. D. (2023)
Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak
                                             Province, Vietnam


         Questionnaire Design


                                       Figure 1. Six components and elements of an EE




                                                    Source: Isenberg, 2011


                Focus Group Discussion: The EE of Dak Lak is still in its early stages (Thao, 2020).
         Consequently, when we compare them to Isenberg (2011), some components are missing. We
         conducted a focus group discussion (FGD) to glean available elements of the EE in order to
         avoid posing questions about non-existent aspects of the EE. To discuss and create a list of the
         current EE components, we gathered a group of 14 entrepreneurs from Buon Ma Thuot City,
         13 administrative districts, and other areas. In Table 1, we provided these EE (items) elements
         that were derived from the FGD.




                    Intern. Journal of Profess. Bus. Review. | Miami, v. 8 | n. 11 | p. 01-17 | e03134 | 2023.
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                                        Tan, B. N., Niem, L. D. (2023)
Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak
                                             Province, Vietnam


                                         Table 1: Results of FGD and questionnaire design
          EE elements                                   Designed Items                                             Denoted
          POLICY (1)
          Unequivocal support                           The     local    government     strongly     supports        P1
                                                        entrepreneurs.
          Entrepreneurship Strategy                     The provincial entrepreneurial strategy is very              P2
                                                        supportive of entrepreneurs.
          Financial support for R&D                     The government financially supports R&D in early-            P3
                                                        stage businesses
          Regulatory Framework incentives               Entrepreneurial businesses can receive tax benefits          P4
          MARKET (2)
          Expertise in productizing/ Early adopters     There are enough early adopter customers for                 M1
          for proof of concept                          minimum viable products.
          Distribution channels                         It is easy to build a distribution channel for minimum-      M2
                                                        viable products
          Entrepreneur's network                        The provincial business associations significantly           M3
                                                        support entrepreneurial businesses.
          HUMAN CAPITAL (3)
          Skilled and unskilled                         Entrepreneurs can find suitable laborers for their           H1
                                                        businesses
          Serial entrepreneur                           You have a lot of experience in starting a business.         H2
          General degrees                               Your education is high                                       H3
          Specific entrepreneurship                     You are well-trained for entrepreneurship                    H4
          training
          SUPPORTS (6)
          Telecommunications                            You have internet and can employ it very well.               S1
          Transportation & logistics                    Logistics is excellent in your location                      S2
          Technical experts, advisors                   You can quickly find technical experts and advisors          S3
                                                        in case needed.
          Business plan contests                        The entrepreneurial contests were beneficial for me in       S4
                                                        starting a business
          Entrepreneur-friendly associations            It is very beneficial for you to join Entrepreneurial        S5
                                                        associations
          CULTURE (5)
          Visible success                               Visible successes strongly encourage you to start your       C1
                                                        business
          Tolerance of risk, mistakes, failure          You think people in your community are very tolerant         C2
                                                        of risk and failure.
          Social status of the entrepreneur             Your community highly appreciates entrepreneurs              C3
          Ambition, drive, hunger                       You do think people in your community have a high            C4
                                                        ambition
          FINANCE (4)
          Micro-loans                                   It is easy for entrepreneurs to access micro-credit          F1
                                                        funds in your location
          Capital markets                               It is easy for entrepreneurs to access formal capital        F2
                                                        markets
          Debts                                         It is easy for entrepreneurs to refinance debts              F3
                                                       Source: FGD outputs


                  The EE model of Isenberg (2011) consists of six components. The first Component is
         POLICY. The long-term commitment of support by the government, local leaders, and
         community leaders enhances the ability to sustain entrepreneurial activities. The second
         Component is MARKET, the characteristics of the market where entrepreneurial firms operate,
         particularly potential customers or market growth. The third Component is HUMAN CAPITAL


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                                        Tan, B. N., Niem, L. D. (2023)
Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak
                                             Province, Vietnam


         (labor and educational institutions), which is essential for developing an EE because businesses
         forming and operating require good human resources and a sufficient supply of laborers. The
         fourth Component is FINANCE, which consists of credit and financial markets. The fifth
         Component is CULTURE. It involves a culture of community engagement, risk-taking,
         acceptance of failure, and an ethos that values entrepreneurs. The sixth Component is
         SUPPORT. It relates to support for entrepreneurs from Government, NGOs, and industry
         leaders.


         Data Collection
                Entrepreneurs will discuss the existing elements of Dak Lak's EE. This qualitative
         information is integrated and compared with features proposed by Isenberg (2011). For the
         FGD, we selected 14 winners in the entrepreneurial competitions in 2018 and 2020 in 13
         districts and Buon Ma Thuot City to form the group.
                Based on the list of entrepreneurs participating in entrepreneurial competitions in 2018
         and 2020 in Dak Lak province (including district-level competitions), we sent a structured
         questionnaire (Google Form). We employed a Likert scale of 1 to 5 to measure the EE's
         elements and other factors backing the survival of entrepreneurial firms. The questionnaire
         included structured questions. The answering options for each question are: (1) Strongly
         disagree, (2) Disagree, (3) Neutral, (4) Agree, and (5) Strongly agree. After removing irrelevant
         answers, we have a sample size of 206 entrepreneurs. The contents of the questionnaire are in
         Table 1.


         RESEARCH METHODOLOGY
         Hypothesis
                H1 to H6 hypothesize the relationship between our six essential components derived
         from Isenberg (2011) and the survival of entrepreneurial firms. These components are all
         assumed to be positively related to the probability that the correspondent business remains in
         operation. For this reason, elements of these components were evaluated by entrepreneurs in
         the survey (see Table 1). Thus, the six hypotheses are as follows:
                Hypothesis 1 (H1): The POLICY component of the Dak Lak EE raises the likelihood
                that an entrepreneurial business will continue to operate.
                Hypothesis 2 (H2): The MARKET component of the Dak Lak EE increases the
                probability that an entrepreneurial business remains in operation.


                    Intern. Journal of Profess. Bus. Review. | Miami, v. 8 | n. 11 | p. 01-17 | e03134 | 2023.
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                                        Tan, B. N., Niem, L. D. (2023)
Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak
                                             Province, Vietnam


                Hypothesis 3 (H3): The HUMAN CAPITAL component of the Dak Lak EE increases
                the probability that an entrepreneurial business remains in operation.
                Hypothesis 4 (H4): The FINANCE component of the Dak Lak EE increases the
                probability that an entrepreneurial business remains in operation.
                Hypothesis 5 (H5): The CULTURE component of the Dak Lak EE increases the
                probability that an entrepreneurial business remains in operation.
                Hypothesis 6 (H6) The SUPPORT component of the Dak Lak EE increases the
                probability that an entrepreneurial business remains in operation.


         Analytic Methods
                We analyzed the role of the Dak Lak EE in two steps. In the first step, we use
         Exploratory Factor Analysis (EFA) to identify factors of the Dak Lak EE to improve the
         survivability of firms. In the second step, we use Binary Logistic Regression to estimate the
         impact of these factors on the likelihood of a business's survival. Specifically, the logistic
         regression model is written as follows:


          𝑃(𝑌=1|𝐷,𝑍,𝑋)               3                6
                          = 𝑒 (𝛼0 +∑𝑖=1 𝛼𝑖 𝐷𝑖 +𝛾1 𝑍1 +∑𝑗=1 𝛽𝑗𝑋𝑗+𝑒) (1)
         1−𝑃(𝑌=1|𝐷,𝑍,𝑋)


                                          ̅̅̅̅ are dummy variables (ethnicity, gender, and age). The COVID-
                In equation (1), 𝐷𝑖 , 𝑖 = 1,3
         19 impact is denoted 𝑍1 (measuring the negative impact of the COVID-19 pandemic on business
         activities). 𝑋𝑗 , 𝑗 = ̅̅̅̅
                               1,6 : variables represent the Dak Lak EE's elements, and 𝑒 is random errors.
                Taking the logarithm of (1), we have:


         𝐿𝑜𝑔𝑖𝑡 𝑃(𝑋) = 𝛽0 + ∑3𝑖=1 𝛼𝑖 𝐷𝑖 + 𝛾1 𝑍1 + ∑6𝑗=1 𝛽𝑗 𝑋𝑗 + 𝑒               (2)


         RESULTS AND DISCUSSION
         Characteristics of Entrepreneurial Firms in Dak Lak Province
                Services related to tourism, agriculture, and the processing industry are the main focus
         areas for entrepreneurial business activities. Mainly, when the COVID-19 pandemic in Vietnam
         was under control, business activities in Dak Lak were very active. Table 2 displays the traits
         of entrepreneurial businesses.
                Table 2 shows that most entrepreneurs are of majority (Kinh, Thai, or Tay), accounting
         for over 70% of entrepreneurs, and only 30% belong to groups of ethnic minorities. Most


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                                        Tan, B. N., Niem, L. D. (2023)
Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak
                                             Province, Vietnam


         business owners are over 20, accounting for 63.1%. Regarding education, up to 57% of
         entrepreneurs have a high school graduation or higher. More than 90% of entrepreneurial
         activities are related to agriculture, agricultural processing, and services and trading related to
         tourism. The entrepreneurial capital scale, however, is relatively small. The equity size of up to
         nearly 70% of entrepreneurial businesses is less than 50 million VND.
                The COVID-19 pandemic harmed the Vietnamese economy from 2018 to 2022. By June
         2022, up to 74 percent of entrepreneurial firms in Dak Lak province had closed their doors,
         with only 23 percent planning to reopen.


                             Table 2. Features of entrepreneurial businesses in Dak Lak Province
                                                                           Amount        Percentages
                        No.               Characterítics
                                                                        (people, basis)      (%)
                        I.      Ethnicity
                         1    Kinh, Thai, and Tay                             146            70.9
                         2    Minority                                         60            29.1
                              Total                                           206            100
                        II.     Gender
                         1    Female                                          146            70.9
                         2    Male                                             60            29.1
                              Total                                           206            100
                        III.    Age
                         1    Under 20 years old                               76            36.9
                         2    Ages 21 or above                                130            63.1
                              Total                                           206            100
                        IV.     Education
                         1    Not graduated from high school                   89            43.2
                         2    Graduated from High school or higher            117            56.8
                              Total                                           206            100
                        V.      Entrepreneurial career
                         1    Agriculture                                      86            41.7
                         2    Agri-product processing                          8              3.9
                              Trading and services in tourism
                         3                                                     95            46.1
                              community-based destinations
                         4    Tourism                                          13             6.3
                         5    Light Industry                                   4               2
                              Total                                           206            100
                        VI.     Capital size
                         1    Less than 50 million VND                        143            69.4
                         2    Over 50 million VND                              63            30.6
                              Total                                           206            100
                                                      Source: Survey data


         Reliability and Exploratory Factor Analysis
                We calculated Cronbach's alpha as a measure of internal consistency or a standard of
         scale reliability. Hair et al. (2009), Pallant (2001), and Nunnally and Bernstein (1994) suggested
         that a scale that ensures unidirectionality and reliability should reach a Cronbach's Alpha
         threshold of 0.7 or higher. However, given the nature of a preliminary exploratory study, a

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                                        Tan, B. N., Niem, L. D. (2023)
Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak
                                             Province, Vietnam


         Cronbach's Alpha threshold of 0.6 is acceptable. In this study, we selected Cronbach's alpha of
         more than 0.6 and the corrected item-total correlation of more than 0.3.
                  Table 3 shows that all items of the MARKET construct do not meet the reliability
         requirements (Cronbach's alpha: 0.280; corrected item-total correlation <0.3). Thus, they were
         excluded from EFA because they are not unidirectional. These items are bolded as presented in
         Table 3.


                                              Table 3. Reliability testing results
          Items   Corrected Item-       Cronbach's Alpha Items               Corrected Item-  Cronbach's Alpha
                 Total Correlation        if Item Deleted                   Total Correlation  if Item Deleted
          POLICY (1): Cronbach's Alpha: 0.665                    SUPPORT (6): Cronbach's Alpha: 0.715
           P1           .519                    .546               S1              .478              .665
           P2           .332                    .680               S2              .400              .697
           P3           .387                    .636               S3              .593              .619
           P4           .576                    .520               S4              .475              .666
          MARKET (2): Cronbach's Alpha: 0.280                      S5              .431              .685
           M1           .110                    .329             CULTURE (5): Cronbach's Alpha: 0.700
           M2           .243                    .055               C1              .520              .619
           M3           .131                    .254               C2              .398              .689
          HUMAN C. (3): Cronbach's Alpha: 0.751                    C3              .610              .551
           H1           .627                    .650               C4              .427              .674
           H2           .517                    .710             FINANCE (4): Cronbach's Alpha: 0.700
           H3           .515                    .711               F1              .535              .739
           H4           .532                    .701               F2              .616              .649
                                                                   F3              .621              .642
                                              Source: Reliability testing outputs


                  We followed Hair et al. (2009) to check if the data suited EFA. We selected factors with
         Eigenvalue ≥ 1 and used them in the analytical model. The EFA resulted in the KMO coefficient
         (Kaiser-Meyer-Olkin) being 0.768 (KMO should be 0.5 ≤ KMO ≤ 1). Bartlett's test (Bartlett's
         test of sphericity) is significantly tested (Sig Bartlett's Test <0.00). The Total Variance
         Explained is 62.4% (≥ 50%), and the absolute value of the factor loading coefficient is more
         significant than 0.5. Thus, it implies that EFA techniques are reasonable in this study.


                                              Table 4. Rotated Component Matrix
                               Items    Component Component Component                  Component
                                            (1)            (2)          (3)               (4)
                                                               Renamed
                                        FINANCE CULTURE              GOV4.0              INFRAS
                                F3         .833
                                F2         .823
                                F1         .679
                                C3                        .787
                                C4                        .719
                                C1                        .708
                                C2                        .551
                                P1                                     .742

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                                        Tan, B. N., Niem, L. D. (2023)
Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak
                                             Province, Vietnam


                                P4                                          .735
                                S1                                          .615
                                H3                                          .592
                                S2                                                         .859
                                S3                                                         .717
                                                       Source: EFA outputs


                 Items S4, S5, H1, H2, H4, P2, and P3 were dropped out of the EFA because their loading
         coefficients were insignificant. The Rotated Component Matrix by the orthogonal method
         (varimax) is presented in Table 4. It is worth noting that the factor loading coefficients of all
         items are more extensive than 0.5. Additionally, we found four components whose items are
         arranged differently than the original theoretical model. Based on the questions corresponding
         to columns "component (3)" and "component (4)", we named component (3) "GOV4.0"
         (government and 4.0 technology) and component (4) "INFRAS" (infrastructure) (see Table 4).


         Logistic Regression Analysis
                 In light of the findings of the EFA and the information provided by Model (2), we
         develop a binary logistic regression model with the help of the variables detailed in Table 5.
         The outcomes of the regression are presented in Table 6.
                 We do not have sufficient evidence to support the hypothesis that age, ethnicity, and
         gender influence the likelihood of a company surviving. As a result, businesses were negatively
         impacted by the COVID-19 pandemic, regardless of the characteristics of their owners. The
         pandemic caused by COVID-19 is the primary factor that leads business owners to close their
         doors. It significantly impacted the viability of businesses run by entrepreneurs, with a
         regression coefficient of -1.01 and an odd ratio of 0.364, respectively. This finding lends
         credence to the hypothesis that the COVID-19 pandemic is the primary factor contributing to
         the failure of businesses in Dak Lak province of Vietnam. Companies in the tourism sector
         fared even worse during the pandemic, as their revenues plummeted. A coefficient of -6.27 is
         assigned to the TOURISM dummy variable.


                            Table 5. Dependent and independent variables in binary logistics model
                                                                                                                   Ex.
                Variables                                     Descriptions                                Type
                                                                                                                   Sign
          Dependent Variable
          Y                     1, if the entrepreneurial business is continuing; 0, otherwise            Binary
          Independent Variables
                                1, if the correspondent belongs to a majority ethnic group
          ETHNICITY                                                                                      Dummy     +/-
                                (Kinh, Thai, or Tay ethnicity; 0, otherwise
          AGE                   1, if the entrepreneur is over 35; 0, otherwise                          Dummy     +/-
          GENDER                1, if the entrepreneur is male; 0, otherwise                             Dummy     +/-


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                                        Tan, B. N., Niem, L. D. (2023)
Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak
                                             Province, Vietnam


          COVID19                   the negative impact of COVID-19                                      Discrete   -
                                    1, if the entrepreneurial firm operates in tourism or trading or
          TOURISM                                                                                        Dummy      -
                                    services in community-based tourist destinations ; 0, otherwise
          FINANCE                   Availability and accessibility of the financial market, ability to    Cont.     +
                                    refinance debts
          CULTURE                   tolerance of risk & failure; visible success, social status of        Cont.     +
                                    entrepreneurs
          GOV4.0                    supporting policies and 4.0 technology                                Cont.     +
          INFRAS                    Logistics services and availability of experts                        Cont.     +
          FINANCE*TOURISM           Interaction between FINANCE and TOURISM variables                     Cont.     +
          CULTURE*TOURISM           Interaction between CULTURE and TOURISM variables                     Cont.     +
          GOV4.0*TOURISM            Interaction between GOV4.0 and TOURISM variables                      Cont.     +
          INFRAS*TOURISM            Interaction between INFRAS and TOURISM variables                      Cont.     +
                                      Source: Designed by authors based on Isenberg, 2011


                It is not significant to draw the conclusion that the interaction between government
         policies and 4.0 technology (GOV4.0) helps entrepreneurial firms maintain their operation during
         the COVID-19 pandemic because of the role that Dak Lak EE plays, as this is not the case. This
         finding lends credence to the theory that the policies of the government regarding taxes and other
         forms of support do not become robust enough to guarantee the survival of businesses. During
         the time period of COVID-19, business owners are required to solve the problems that they
         encounter all by themselves. With a coefficient of -1.6, the government policies and 4.0
         technology (represented by GOV4.0*TOURISM) decrease the likelihood of firm survival in the
         tourism industry, which is the opposite of what we expected. This is because those in the tourism
         industry with tertiary education (H3) and access to the internet (S1) could gather more data on
         COVID-19 and predict a worsening situation. So, they boldly decided to shut down operations
         before it was forced upon them.
                The FINANCE component significantly contributes to the survival of entrepreneurial
         firms with 95% confidence (coefficient of 0.70 and odd ratio of 2.0). Thus, credit organizations,
         especially micro-credit ones, serve early-stage businesses undergoing a crisis (Items: F1, F2). In
         addition, supporting firms to refinance their debts is an effective policy to help them survive (Item
         F3). This finding is similar to Subashini et al. (2023). A startup's likelihood of surviving the
         pandemic is greatly enhanced by cultural factors (CULTURE) at a 95% confidence level.
         Unbelievably, the drive to keep their businesses going is rooted in a culture that embraces risk-
         taking, failure, and high ambition (C1, C2, C3, C4). At 95% confidence, the culture lent its
         strength to the tourism industry, spawning thriving businesses as CULTURE*TOURISM has a
         coefficient of 2.2. This finding is consistent with the work of Althuwayb and Badawi (2023).




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                                        Tan, B. N., Niem, L. D. (2023)
Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak
                                             Province, Vietnam


                  Table 6. Impact of Factors on the viability of entrepreneurial firms in the tourism industry
                               Independent Variables              B       SE. Sig. Odd Ratio
                                ETHNICITY                       .358     .412 .385     1.430
                                AGE                             .750     .559 .180     2.117
                                GENDER                          .092     .360 .799     1.096
                                COVID19                     -1.010*** .229 .000         .364
                                TOURISM                       -6.272* 3.367 .062        .002
                                FINANCE                        .701*     .379 .064     2.015
                                CULTURE                       .046**     .549 .933     1.047
                                GOV4.0                          .509     .498 .307     1.663
                                INFRAS                         -.357     .365 .328      .700
                                FINANCE*TOURISM                 .128     .560 .819     1.137
                                CULTURE*TOURISM 2.262** .945 .017                      9.607
                                GOV4.0*TOURISM               -1.627** .720 .024         .197
                                INFRAS*TOURISM                  .483     .538 .370     1.621
                                Constant                        .596    2.277 .794     1.815
                                -2 Log-likelihood:            197.62
                                Cox & Snell R Square:           .297
                                Nagelkerke R Square:            .406
                                N                               206
                    Note: *, **, ***: Statistical significance at the 10% , 5%, and 1% level, respectively.
                                                   Source: Regression results


                We observed that our results deviated somewhat from those predicted by the model
         proposed by Isanberg (2011). Other hypothesized components of the Dak Lak EE, such as
         POLICY (Hypothesis 1), the MARKET (Hypothesis 2), HUMAN CAPITAL (Hypothesis 3),
         and SUPPORT (Hypothesis 6), and their roles in sustaining entrepreneurial activity, remain
         unclear. We cannot confidently say that these components positively affect a company's
         survival ability if an entrepreneur runs it during hardship. In other words, these parts weren't
         doing their jobs or were missing crucial components. Therefore, we argue that the province of
         Dak Lak requires targeted policies and initiatives to foster the growth of these aspects of its EE.


         CONCLUSION
                This study interviewed 206 entrepreneurs in Dak Lak province, including 108 in the
         tourism industry and 98 in other sectors. We looked into how the EE components affected the
         survival of entrepreneurial firms during the COVID-19 pandemic (2018-2022). We discovered
         that the pandemic had a negative and significant impact on the efficiency and ability of
         entrepreneurial firms to remain in business. Travel restrictions, social distancing, and city
         lockdowns significantly impacted early-stage companies. As a result, they are unable to face
         the crisis. The pandemic harmed tourism companies even more severely. We discovered that
         74% of entrepreneurial firms ceased operations, with only 26% surviving the pandemic. We
         are not confident enough to assert that entrepreneur characteristics such as ethnicity, gender, or
         age influence the impact of the COVID-19 pandemic on business viability.

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                                        Tan, B. N., Niem, L. D. (2023)
Entrepreneurial Ecosystem and Tourism Firms' Survival in the COVID-19 Pandemic Crisis: A Case Study of Daklak
                                             Province, Vietnam


                We found that FINANCE and CULTURE components play a positive role in assisting
         early-stage firms in tourism. Specifically, the availability and accessibility of the financial
         market, including micro-credit, support entrepreneurial firms in maintaining their operation. In
         addition, the culture of tolerance of risks and failure, efforts for success, and high ambition is
         the basis for the action of entrepreneurs to continue their businesses. However, the roles of
         other components of the EE are very blurred. Therefore, we suggested that Dak Lak province
         develop its EE by upgrading its elements as soon as possible to cope with future crises.


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