Visitor profile, satisfaction levels and clustering of tourists for decision making in Michoacan, Mexico

Serrato, Marco; Tello, Juan; Díaz, Angel; García, Sergio; Castillo, Juan Carlos

doi:10.1111/j.1475-3995.2009.00690.x

Cited by 8 publications

(9 citation statements)

References 11 publications

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“…Researches from visitor profile perspective insist that vacation decision-making is an ongoing process that cannot be characterised by several sequential stages, and there'll be no end for the decision-making (Serrato et al, 2010;Decrop and Snelders, 2005). They made classification of different types of vacationers based on tourists' lifestyle, or variation in decision-making styles.…”

Section: P Wangmentioning

confidence: 99%

The influence process of electronic word-of-mouth on traveller's visit intention: a conceptual framework

Wang

2016

IJNVO

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With the pervasion of information and communication technology (ICT), the valence of user-generated content is an increasing important antecedent affecting customer's decision-making. The influence is especially significant in the tourism and hospitality industry due to its nature of intangible and experiential. In order to better understand the influence process of electronic word-of-mouth on travel destination decision-making, an integrated model based on the two well-tested model, elaboration likelihood model (ELM) and theory of planned behaviour (TPB), is proposed in the paper. The moderate role of cultural dimension of uncertainty avoidance is taken into account in the model. Altogether nine hypotheses are given based on the research model. Implications for theory and practice of this research are discussed, and limitations and future research are also given.Keywords: tourist decision-making; electronic word-of-mouth; eWOM; elaboration likelihood model; ELM; theory of planned behaviour; TPB; online information sources.Reference to this paper should be made as follows: Wang, P. (2016) 'The influence process of electronic word-of-mouth on traveller's visit intention: a conceptual framework', Int.

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Section: P Wangmentioning

confidence: 99%

The influence process of electronic word-of-mouth on traveller's visit intention: a conceptual framework

Wang

2016

IJNVO

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“…Researches from visitor profile perspective insist that vacation decision-making is an ongoing process that cannot be characterized by several sequential stages, and there'll be no end for the decision making [26,27]. They made classification of different types of vacationers based on tourists' lifestyle, or variation in decisionmaking styles.…”

Section: Tourist's Decision-makingmentioning

confidence: 99%

The Influence of Tourists’ Safety Perception during Vacation Destination-Decision Process: An Integration of Elaboration Likelihood Model and Theory of Planned Behavior

Wang

2014

Communications in Computer and Information Science

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Abstract. Safety has long been an important consideration in tourism industry due to the nature of intangible and experiential of tourism. Despite the fact that tourists' destination decision-making has attracted lots of concentration, it is noteworthy that few of them touched the relationship between safety perception and destination decision in the perspective of influence process. In order to better understand the influence process of safety perception on travel destination decision-making is still scant, an integrated model based on the two well-tested model, elaboration likelihood model (ELM) and theory of planned behavior (TPB), is proposed in the paper. Cultural dimension of uncertainty avoidance, which related directly to safety issues, are extended to the model. Altogether seven hypotheses are given based on the conceptual framework. Conclusions on the contribution of this paper, and limitations and future research are also discussed.

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“…Marketing surveys frequently apply the Likert scale, as in Serrato et al. (2010) and Oeser et al. (2019), widely used in opinion studies for their simplicity.…”

Section: Market Segmentation Approaches: Clustering Classification An...mentioning

confidence: 99%

“…Marketing surveys frequently apply the Likert scale, as in Serrato et al (2010) and Oeser et al (2019), widely used in opinion studies for their simplicity. Nevertheless, a difficulty in marketing studies is the handling of Likert-scale data (Arunachalam and Kumar, 2018), which generate ordinal qualitative variables for which the application of traditional statistical techniques is not suitable.…”

Section: Market Segmentation Approaches: Clustering Classification An...mentioning

confidence: 99%

Food market segmentation based on consumer preferences using outranking multicriteria approaches

Casas‐Rosal

Segura

Álvarez

2021

Int Trans Operational Res

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Market segmentation is a key concept in marketing that groups consumers by their needs, characteristics, or purchasing behavior. The objectives of this research are to develop outranking multicriteria models based on preference ranking organization method for enrichment evaluation (PROMETHEE) in order to segment food consumers and apply them to a survey of healthy and sustainable meat. The models consider two categories of purchasing criteria; one related to product and another to the distributor process. One model generates ordered segments of consumers, while the other obtains four segments according to consumer performance in both criteria categories. An extension of FlowSort method for the sorting problems with Likert scale data is also contributed. The profile of segments shows the significance level of variables such as gender, but mainly those related to food-related lifestyles, when characterizing the consumer groups. This proposal represents a robust approach, which is useful in the effective design of marketing campaigns and policies.

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Visitor profile, satisfaction levels and clustering of tourists for decision making in Michoacan, Mexico

Cited by 8 publications

References 11 publications

The influence process of electronic word-of-mouth on traveller's visit intention: a conceptual framework

The influence process of electronic word-of-mouth on traveller's visit intention: a conceptual framework

The Influence of Tourists’ Safety Perception during Vacation Destination-Decision Process: An Integration of Elaboration Likelihood Model and Theory of Planned Behavior

Food market segmentation based on consumer preferences using outranking multicriteria approaches

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