Rojas, Omar
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Preferred name
Rojas, Omar
Official Name
Rojas Altamirano, Omar Guillermo
Alternative Name
orojas
Main Affiliation
ORCID
Scopus Author ID
22954196800
Researcher ID
K-1066-2013

Research Output
Now showing 1 - 10 of 77
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Components to foster organizational resilience in tourism SMEs

2021 , Núñez-Ríos, Juan E. , Sánchez-García, Jacqueline Y. , Soto-Pérez, Manuel , Olivares-Benitez, Elias , Rojas, Omar

PurposeSmall- and medium-sized enterprises (SMEs) mainly rely on their structure and internal networks to achieve their goals and remain competitive. However, their limited internal capabilities and complex environments can hinder their stability. Thus, this study evaluated the relationships among specific factors toward fostering organizational resilience (OR) in tourism SMEs.Design/methodology/approachA multi-methodological approach was adopted to address this research study, including (1) social network analysis (SNA) to formulate the conceptual model and (2) construct validation through partial least squares path modeling (PLS-PM).FindingsThe six proposed hypotheses were supported. These results suggest that addressing these variables and relationships after considering management style and people development as critical factors can foster OR in tourism SMEs.Research limitations/implicationsThe ideas that were developed were constrained to the organizational domain. Although the results apply to the Mexican context, this limitation can be offset by extending the proposal to other emergent regions or organizations. This can also increase the generalization of the results and foster improvements in the approaches applied.Practical implicationsAcademics and managers must rethink resilience as the final state generated by multiple factors. This requires reconfiguring inner organizational interactions, providing more autonomy to operative units, reinforcing business intelligence and improving feedback mechanisms.Originality/valueThis research study contrasts previous studies because it proposes that SNA be exploited to avail of the advantages it confers in designing the conceptual model. In this regard, we present new relationships to promote OR and provide new avenues in order to improve the analysis of adaptation processes.

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Matheuristics for the Design of a Multi-Step, Multi-Product Supply Chain with Multimodal Transport

2021 , Ruvalcaba-Sandoval, David A. , Olivares-Benitez, Elias , Rojas, Omar , Sosa-Gómez, Guillermo

Supply-chain network design is a complex task because there are many decisions involved, and presently, global networks involve many actors and variables, for example, in the automotive, pharmaceutical, and electronics industries. This research addresses a supply-chain network design problem with four levels: suppliers, factories, warehouses, and customers. The problem considered decides on the number, locations, and capacities of factories and warehouses and the transportation between levels in the supply chain. The problem is modeled as a mixed-integer linear program. The main contribution of this work is the proposal of two matheuristic algorithms to solve the problem. Matheuristics are algorithms that combine exact methods and heuristics, attracting interest in the literature because of their fast execution and high-quality solutions. The matheuristics proposed to select the warehouses and their capacities following heuristic rules. Once the warehouses and their capacities are fixed, the algorithms solve reduced models using commercial optimization software. Medium and large instances were generated based on a procedure described in the literature. A comparison is made between the algorithms and the results obtained, solving the model with a time limit. The algorithms proposed are successful in obtaining better results for the largest instances in shorter execution times.

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Blockchain and off-chain: A Solution for Audit Issues in Supply Chain Systems

2020 , López-Pimentel, Juan Carlos , Rojas, Omar , Raul Monroy

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Automating the avocado supply chain with Blockchain and Off-chain

2020 , López-Pimentel, Juan Carlos , Rojas, Omar , Alcaraz Rivera, Miguel , Sosa-Gómez, Guillermo , Verteramo-Chiu, L.

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Tourism Destination Performance and Competitiveness: The Impact on Revenues, Jobs, the Economy, and Growth

2024 , Rudi Purwono , Miguel Angel Esquivias , Lilik Sugiharti , Rojas, Omar

We analyzed the relationship between tourism destination competitiveness (TDC) and economic performance using the Travel and Tourism Development Index (TTDI) and various tourism metrics. Employing a Structural Equation Model (SEM) and the latest available 2021 data, we focused on factors such as connectivity, infrastructure, demand drivers, sustainability, and the enabling environment. The findings indicated a positive correlation between these factors and the pillars of destination competitiveness. Key elements such as connectivity, infrastructure, demand drivers, sustainability, and enabling environment significantly influence TDC in Asia. Our research demonstrates that these indicators strongly affect various aspects of performance in Asian countries, including tourism arrivals, revenue, and job creation. We found a negative correlation between certain aspects of destination performance and tourism growth, suggesting that highly competitive destinations may experience lower growth rates than less competitive ones, thereby affecting the overall development of the sector. This highlights the necessity of specific strategies to leverage the positive influence of competitive tourist destinations on economic dynamics and job creation within a destination. This study highlights the crucial role of core resources and infrastructure in enhancing tourism performance and competitiveness, and advocates targeted efforts for sustainable and resilient sector growth. These findings offer valuable insights into the relationship between competitiveness and performance in the Asian tourism industry.

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Design of experiments and response surface methodology to tune machine learning hyperparameters, with a random forest case-study

2018 , Lujan-Moreno, Gustavo , Phillip R. Howard , Rojas, Omar , Douglas C. Montgomery

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Factors to Foster Organizational Sustainability in Tourism SMEs

2020 , Núñez-Ríos, Juan E. , Sánchez-García, Jacqueline Y. , Rojas, Omar , Olivares-Benitez, Elias

Small and medium-sized tourism companies (SMEs) strongly depend on their collaborators to achieve competitiveness and sustainability. In this sense, these organizations need to identify those factors that help them to use their resources and efforts to achieve the aforementioned goals. This article proposes a model oriented to organizational sustainability in the tourism sector. A systemic approach was adopted to articulate this research; therefore, the soft systems methodology was applied to structure the problem and express a conceptual model that suggests relationships as an alternative solution to the expressed problem. Partial least squares path modeling was applied to statistically validate the relationships expressed in the construct. Results suggest that the relationships proposed in the construct are valid and may promote organizational sustainability. The ideas developed are restricted to the organizational domain and although the results apply in a Mexican context, this potential limitation can be offset by the multi-methodological approach proposed, extending the model’s application to other types of organizations. This study may enable scholars and managers to improve communication and inter-organizational relationships, allowing organizations to focus their strategies and efforts using systems thinking to increase responsiveness and adaptation.

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Analysis of the Number of Sides of Voronoi Polygons in PassPoint

2021 , Lisset Suárez-Plasencia , Joaquín A. Herrera-Macías , Carlos M. Legón-Pérez , Raisa Socorro-LLanes , Rojas, Omar , Sosa-Gómez, Guillermo

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Production planning for a company in the industry of compact discs mass replications

2017 , Rojas, Omar

This chapter addresses a production planning problem for a company that mass-replicates compact discs. In the current situation, the staff of the company creates a production plan for the long term, with low flexibility to make a new plan when new orders arrive. The combination of attributes of the orders and the available machines for the processes generate a high complexity to determine the appropriate production routes and sequencing. To reduce complexity, the computation of a priority index is proposed to combine different attributes of the orders. To optimize the utilization of the production capacities, two approaches were proposed: a Simulation Model and a Linear Programming Model. The priority index is used in both models to promote early scheduling of certain orders to the machines during the planning horizon. The results show that the models proposed deliver production plans in a short time, with a better utilization of the production capacity, and with a focus on improving service level when compared to the current methodology in the company. Additionally, the Linear Programming Model is integrated into an intelligent decision-support system to guarantee the data transfer from the information system of the company and fast execution as often as needed.

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Time-Varying Spillovers between Currency and Stock Markets in the USA: Historical Evidence From More than Two Centuries

2020 , Semei Coronado , Rangan Gupta , Besma Hkiri , Rojas, Omar

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