A digital transformation maturity model for the airline industry with a self-assessment tool

Kıyıklık, Ayşe; Kuşakçı, Ali Osman; Mbowe, Baboucarr

doi:10.1016/j.dajour.2022.100055

Cited by 14 publications

(6 citation statements)

References 20 publications

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“…[25]. Other studies on the maturity evaluation dimensions of digital transformation mainly focus on information technology [5,7,10,[25][26][27], strategy [5,7,10,25,26], organization [14,25,27], product [25,26], individual [5,7,25,28], process integration [5,26,28,29], data [9,27,29] and culture [9,28]. The dimensions faced by SMEs mainly include strategy, organization, technology, process, etc.…”

Section: Digital Maturitymentioning

confidence: 99%

“…Organizational adaptability (C3) can flexibly adjust the organization to adapt to digital changes as soon as possible and win competitive advantages; in addition, in the organizational structure, whether the information department (C4) is set separately is also a manifestation of whether the enterprise informatization construction is professional [31,37]. In addition, in the process of digital transformation, the supporting role of human resources is indispensable and plays a key role in implementing and achieving a higher level of digitization [24,26,27]. Therefore, the employee digital skills (C5) drive organizations' competitiveness and innovation capacity [48], and employees' digital cognition (C6) of employees affect the process of enterprise digitization to a certain extent and can promote or hinder enterprise digitization [49].…”

Section: Proposed Attributesmentioning

confidence: 99%

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Digital Transformation Evaluation for Small- and Medium-Sized Manufacturing Enterprises Using the Fuzzy Synthetic Method DEMATEL-ANP

Chen¹,

Zhang²,

Jin³

et al. 2022

Sustainability

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In view of the characteristics of small- and medium-sized manufacturing enterprises and the status quo of digitalization, it is necessary to develop a more applicable digital transformation maturity model. The decision testing and evaluation laboratory method (DEMATEL) is used to provide the visual impact relationship between digital transformation criteria, and combined with the network analytic hierarchy process (ANP) to determine the mixed weight of indicators, and then fuzzy comprehensive evaluation is used to evaluate the digital maturity of small- and medium-sized manufacturing enterprises. The empirical analysis of small- and medium-sized manufacturing enterprises in Guangdong Province shows that digital strategy and information technology play a key role in the digital transformation of enterprises, and digital process and digital innovation are the main problems faced by small- and medium-sized enterprises. In addition, the digital maturity of enterprises is related to the industrial base, regional policies, industry types, etc. This study provides some guidance for the implementation path selection of small- and medium-sized enterprises’ digital transformation and accelerates the digital transformation and sustainable development of small- and medium-sized manufacturing enterprises.

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Section: Digital Maturitymentioning

confidence: 99%

Section: Proposed Attributesmentioning

confidence: 99%

Digital Transformation Evaluation for Small- and Medium-Sized Manufacturing Enterprises Using the Fuzzy Synthetic Method DEMATEL-ANP

Chen¹,

Zhang²,

Jin³

et al. 2022

Sustainability

View full text Add to dashboard Cite

show abstract

“…Cozzolino and Rothaermel (2018) analysed that the incumbent must ally with the new entrant following the discontinuity of the novelty of knowledge when the regime is very strong, when the regime is weak then the incumbent is more likely to get the new entrant. Empirical examples of the sinking of incumbent companies such as Nokia, Yellow Pages, and Kodak are unable to compete in market mechanisms (Kiyiklik, 2020). In addition, free trade allows each country to use the latest technology thereby reducing search costs, replication costs, transportation costs, tracking costs, and verification fees (Goldfarb and Tucker, 2019).…”

Section: Introductionmentioning

confidence: 99%

Critical evaluation of disruptive transportation in Indonesia

Wasiaturrahma,

Supeno,

Ibrahim

et al. 2024

J. Infras. Policy. Dev.

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This study analyzes the highly disruptive transportation business in Indonesia. The purpose of observation is to completely synthesize disruptive transportation that causes bad externalities in society. Data sources come from primary data of interviews and secondary data of related literature. The research method uses critical qualitative with a combination of in-depth interviews with several stakeholders. Key findings suggest that trust, consistency, capital ownership and proximity of new entrants to incumbents are important in disruptive innovation processes, empirical implications that transportation in Indonesia has undergone a definite economic shift. The results showed that although the government has publicly expressed its full support for any individual who will develop a business in the digital economy model, it is not effective enough to be consistent in the transportation business. Policy recommendations include adaptive training incentive programs for incumbent groups and accelerated funding assistance for new entrant groups, in addition to strengthening active collaboration between the government and the private sector is urgently needed.

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“…The popularity of digital transformation maturity model development has increased dramatically in many industries, such as the manufacturing industry (Gökalp & Martinez, 2021;Kırmızı & Kocaoglu, 2022), IT companies (Gollhardt et al, 2020), telecommunication service providers (Valdez-de-Leon, 2016), and the airline industry (Kıyıklık et al, 2022). Furthermore, there is a large number of prior studies focusing on digital business transformation maturity models for small and medium enterprises; for example, Li et al (2018) study focuses on a digital transformation maturity model from an organizational capability perspective.…”

Section: Introductionmentioning

confidence: 99%

A digital business transformation maturity model for micro enterprises in developing countries

Sukrat,

Leeraphong

2023

Glob Bus Org Exc

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To survive and thrive in highly competitive environments, micro‐enterprises, like all businesses, need to adapt to changing market conditions. In today's digital age, digital transformation can help micro‐enterprises improve their efficiency, customer experience, and decision‐making to remain competitive and meet consumer demands. Therefore, this study seeks to establish a micro enterprise‐specific digital transformation maturity model based on prior literature and interviews with 12 micro enterprise business owners. The resulting model has four dimensions: strategy, process, technology, and people. Each dimension consists of four maturity levels comprised of significant, specific characteristics. Five specialists from diverse fields reviewed and modified the proposed model. For model evaluation, we performed data analytics using the K‐means clustering algorithm on online questionnaire data. The final maturity model fits well with the needs of the micro‐enterprises under investigation and can be used as a guide by other micro and small businesses in developing countries.

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A digital transformation maturity model for the airline industry with a self-assessment tool

Cited by 14 publications

References 20 publications

Digital Transformation Evaluation for Small- and Medium-Sized Manufacturing Enterprises Using the Fuzzy Synthetic Method DEMATEL-ANP

Digital Transformation Evaluation for Small- and Medium-Sized Manufacturing Enterprises Using the Fuzzy Synthetic Method DEMATEL-ANP

Critical evaluation of disruptive transportation in Indonesia

A digital business transformation maturity model for micro enterprises in developing countries

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