A multicriteria-optimization model for cultural heritage renovation projects and public-private partnerships in the hospitality industry

ABSTRACT

The tourism and hospitality industry significantly impacts socio-economic development and cultural growth in developing countries. This study develops an integrated multicriteria decision-making and optimization model for partner selection in public-private partnership (PPP) projects in the hospitality industry. The proposed model uses a weighted influence non-linear gauge system to evaluate the partners. A multi-objective optimization model is then utilized to select a partner for each PPP project using a linear programming metric solution approach. A case study demonstrates the applicability of the proposed model in a PPP project in Iran to renovate and convert historic houses into hotels for the hospitality industry.

KEYWORDS:

• Public-private partnership
• hospitality industry
• multicriteria decision-making
• optimization
• weighted influence non-linear gauge system
• cultural heritage

Acknowledgment

Dr. Madjid Tavana is grateful for the partial support he received from the Czech Science Foundation (GǍCR19-13946S) for this research.

Declaration of interest

The above authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

This work was supported by Czech Science Foundation: [Grant Number GAˇCR19-13946S].