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Article
Publication date: 27 November 2020

Morteza Soltani, Nima Soltani Nejad, Fatemeh Taheri Azad, Babak Taheri and Martin Joseph Gannon

This study aims to develop a framework to identify the drivers underpinning food tourists' behavioral intentions (BIs). This framework centers on examining how local food…

Abstract

Purpose

This study aims to develop a framework to identify the drivers underpinning food tourists' behavioral intentions (BIs). This framework centers on examining how local food consumption value (TLFCV), local food experiential value (TLFEV) and social media influencers (SMIs) impact upon tourists’ attitudes toward local food (ATLF) and food destination image (FDI). The impact of ATLF and FDI on tourists’ BIs is also examined.

Design/methodology/approach

PLS-SEM was used to test the hypothesized relationships using survey responses from 379 tourists visiting Rasht, Iran.

Findings

The results demonstrate that TLFCV, TLFEV and SMIs can be used to populate a theoretical framework for predicting and understanding the factors influencing tourists’ ATLF and FDI. Specifically, positive ATLF and FDI stimulated positive BIs (e.g., intending to recommend Iranian food to others and intending to revisit Iran in future for culinary tourism purposes).

Practical implications

The findings provide managers and practitioners within the culinary tourism industry with suggestions for how best to strategically market their offerings to increase inbound food tourism.

Originality/value

This study is one of the first to empirically evaluate the drivers of food tourists' BIs, presenting a newly developed model for deployment in future research. Originality is also established by simultaneously investigating TLFCV and TLFEV within the context of food tourism.

Details

International Journal of Contemporary Hospitality Management, vol. 33 no. 1
Type: Research Article
ISSN: 0959-6119

Keywords

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Article
Publication date: 13 November 2020

Nima Soltani-Nejad, Fatemeh Taheri-Azad, Nayereh Zarei-Maram and Mohammad Karim Saberi

The primary objective of the present study was to design and develop a model to identify the antecedents and consequences of user satisfaction with digital libraries.

Abstract

Purpose

The primary objective of the present study was to design and develop a model to identify the antecedents and consequences of user satisfaction with digital libraries.

Design/methodology/approach

The theoretical framework of this study was based on information system success theory, technology acceptance model (TAM), media affinity theory, satisfaction-loyalty theory and engagement theory. In so doing, eight hypothesized relationships were formulated to develop the conceptual model. The study approach was quantitative. Using simple random sampling technique, a total of 409 Iranian students participated in the study and responded to the survey. Descriptive and inferential data analysis was also performed using SPSS and SmartPLS3 software.

Findings

The results showed that the generic usability of digital library and the quality of digital resources could be used as a functional theoretical framework to predict and understand the factors contributing to user satisfaction in the domain of digital library. Increasing user satisfaction with digital library may have implications including recommending the digital library to others, the digital library reusing as well as the digital library engaging and integrating with them. It should be noted that system quality, service quality, and information quality are important factors in the formation of perceived usefulness, perceived ease of use, and digital libraries' affinity.

Originality/value

This study is the first attempt to empirically evaluate the antecedents and consequences of the user satisfaction with digital library presenting a new model. The model presented in this study can be used in future research as well. Also, this study has eloquently expanded the theories of user satisfaction with digital libraries.

Details

Aslib Journal of Information Management, vol. 72 no. 6
Type: Research Article
ISSN: 2050-3806

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Article
Publication date: 13 June 2020

Mohamad Amin Kaviani, Madjid Tavana, Fatemeh Kowsari and Roghayeh Rezapour

The purpose of this study is to evaluate two supply chain resilience key elements of vulnerability and capability in the automotive industry.

Abstract

Purpose

The purpose of this study is to evaluate two supply chain resilience key elements of vulnerability and capability in the automotive industry.

Design/methodology/approach

We propose a fuzzy approach for statistical hypothesis testing and analyze two research hypotheses by synthesizing the results of a questionnaire given to 44 companies in the Iranian automotive industry.

Findings

The results indicate that the automotive industry in Iran should: (1) resist five elements of vulnerability, i.e. “external pressures,” “sensitivity,” “connectivity,” “supplier/customer disruptions,” and “resource limits,” and (2) embrace nine elements of capability, i.e. “flexibility in order fulfillment,” “capacity,” “efficiency,” “visibility,” “adaptability,” “recovery,” “dispersion,” “organization,” “market position” and “security” to achieve greater resiliency elasticity in the supply chain.

Originality/value

This is the first study on the supply chain resilience vulnerabilities and capabilities in the Iranian automotive industry.

Details

Benchmarking: An International Journal, vol. 27 no. 6
Type: Research Article
ISSN: 1463-5771

Keywords

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