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Full-Text Articles in Business

Assessing The Effectiveness Of Open Innovation Implementation Strategies In The Promotion Of Ambidextrous Innovation In Thai Small And Medium-Sized Enterprises, Wutthiya A. Srisathan, Chavis Ketkaew, Phaninee Naruetharadhol Aug 2023

Assessing The Effectiveness Of Open Innovation Implementation Strategies In The Promotion Of Ambidextrous Innovation In Thai Small And Medium-Sized Enterprises, Wutthiya A. Srisathan, Chavis Ketkaew, Phaninee Naruetharadhol

Publications

The adoption of open innovation practices is becoming increasingly important for SMEs seeking to remain competitive in today's fast-paced business environment. The aim of this study is to understand the implementation of open innovation processes by SMEs while highlighting two critical processes: open innovation implementation (OII) and open ambidextrous innovation practices (OAIP). The study employes a second-order factor analysis incorporating multigroup structural invariance analysis to explore the differences in ambidextrous innovation practices across SME size categories using a sample of 615 SMEs in Thailand. The primary finding reveals and confirms a statistically significant positive relationship between the implementation of open …


Overview Of Low-Cost Carriers In Russia And Post-Soviet States, Tamilla Curtis, Dawna L. Rhoades Jun 2023

Overview Of Low-Cost Carriers In Russia And Post-Soviet States, Tamilla Curtis, Dawna L. Rhoades

Publications

The low-cost carrier's model made remarkable gains across the globe in the prior decade, although growth was uneven domestically and intraregionally. Within this region, there are significant differences in overall country size, the size of the domestic aviation market, and the number of carriers serving the market. The largest and most developed market is in Russia, but rest of the region also experienced growth in economy airlines' activity as they discovered the power of the model to expand aviation access and lower costs. The success of low-cost carriers, however, has been halting and hampered by government decisions on foreign investment, …


Evidence-Based Managerial Decision-Making With Machine Learning: The Case Of Bayesian Inference In Aviation Incidents, Aaron Glassman, Burak Cankaya, Kazim Topuz, Dursun Delen May 2023

Evidence-Based Managerial Decision-Making With Machine Learning: The Case Of Bayesian Inference In Aviation Incidents, Aaron Glassman, Burak Cankaya, Kazim Topuz, Dursun Delen

Publications

Understanding the factors behind aviation incidents is essential, not only because of the lethality of the accidents but also the incidents’ direct and indirect economic impact. Even minor incidents trigger significant economic damage and create disruptions to aviation operations. It is crucial to investigate these incidents to understand the underlying reasons and hence, reduce the risk associated with physical and financial safety in a precarious industry like aviation. The findings may provide decision-makers with a causally accurate means of investigating the topic while untangling the difficulties concerning the statistical associations and causal effects. This research aims to identify the significant …


Connecting Organizational Learning Strategies To Organizational Resilience, Gordon R. Haley Apr 2023

Connecting Organizational Learning Strategies To Organizational Resilience, Gordon R. Haley

Publications

Purpose: The objective of this study is to analyze the conceptual and domain overlap of organizational learning and organizational resilience; specifically, the adaptation or renewal domain in organizational resilience. From the findings, strategies to foster collective learning leading to organizational resilience are identified and outlined.


Technology Within Cultures: Segmenting The Wired Consumers In Canada, France, And The Usa, Maria Petrescu, Aidin Namin, Marie-Odile Richard Apr 2023

Technology Within Cultures: Segmenting The Wired Consumers In Canada, France, And The Usa, Maria Petrescu, Aidin Namin, Marie-Odile Richard

Publications

This paper uses a state-of-the-art quantitative modeling approach to latent class analysis to analyze American, Canadian, and French consumers’ perception of technology-based products and their cultural values. It identifies hidden segments of consumers based on technology adoption propensity, cosmopolitan characteristics, and identification with the global consumer culture. The study emphasizes the diversity and variability between and among countries regarding localism, globalism, cosmopolitanism, and the global consumer culture. The framework provides a new way to evaluate modern consumers and reflects the combination of national/regional cultural characteristics and global culture elements while highlighting the relevance of modern technologies and communication methods in …


Business Inferences And Risk Modeling With Machine Learning; The Case Of Aviation Incidents, Burak Cankaya, Kazim Topuz, Aaron M. Glassman Jan 2023

Business Inferences And Risk Modeling With Machine Learning; The Case Of Aviation Incidents, Burak Cankaya, Kazim Topuz, Aaron M. Glassman

Publications

Machine learning becomes truly valuable only when decision-makers begin to depend on it to optimize decisions. Instilling trust in machine learning is critical for businesses in their efforts to interpret and get insights into data, and to make their analytical choices accessible and subject to accountability. In the field of aviation, the innovative application of machine learning and analytics can facilitate an understanding of the risk of accidents and other incidents. These occur infrequently, generally in an irregular, unpredictable manner, and cause significant disruptions, and hence, they are classified as "high-impact, low-probability" (HILP) events. Aviation incident reports are inspected by …


Connecting Organizational Learning Strategies To Organizational Resilience, Stephanie Douglas, Gordon Haley Jan 2023

Connecting Organizational Learning Strategies To Organizational Resilience, Stephanie Douglas, Gordon Haley

Publications

The objective of this study is to analyze the conceptual and domain overlap of organizational learning and organizational resilience; specifically, the adaptation or renewal domain in organizational resilience. From the findings, strategies to foster collective learning leading to organizational resilience are identified and outlined.


Man Vs Machine – Detecting Deception In Online Reviews, Maria Petrescu Jan 2023

Man Vs Machine – Detecting Deception In Online Reviews, Maria Petrescu

Publications

This study focused on three main research objectives: analyzing the methods used to identify deceptive online consumer reviews, evaluating insights provided by multi-method automated approaches based on individual and aggregated review data, and formulating a review interpretation framework for identifying deception. The theoretical framework is based on two critical deception-related models, information manipulation theory and self-presentation theory. The findings confirm the interchangeable characteristics of the various automated text analysis methods in drawing insights about review characteristics and underline their significant complementary aspects. An integrative multi-method model that approaches the data at the individual and aggregate level provides more complex insights …