Mixed logit analysis of trade-off effects between international airline fares and fences: a revenue management perspective

As transportation is essential for tourism development, effectively utilizing its perishable resources has become an important issue. This study aims to analyse the relationship between airline fares and using conditions from the perspective of millennial tourists and taking the Taipei–Tokyo market as an example. The study attempts to show a revenue management practice in the manipulation of homogeneous seat service and give millennial tourists a better understanding of their preferences for ticket choices. We categorize availability of flight, advance booking, ticket validity, and changing conditions as main attributes and develop a stated-preference questionnaire with multiple hypothetical scenarios for respondents to select in the experiment. We effectively collect 390 valid samples for a mixed logit analysis and the results show that all applied attributes are statistically significant. Ticket validity is revealed to be the most important fence with the largest willingness-to-pay value and followed by availability of flight, advanced booking, and changing conditions.     

Analysis of Korean millennials’ travel expenditure patterns: an almost ideal demand system approach

ABSTRACT

Generational cohorts can differ in their consumption patterns and preferred travel behavior. As the millennial generation represents an important economic force and influences new consumption trends, this study utilizes nationwide data and almost ideal demand system (AIDS) approach to examine expenditure patterns of Korean travelers during holidays. In this process, the joint effects of travel-related characteristics are also examined. The results of the AIDS estimation on data from 871 domestic travelers reveal significantly different travel expenditure patterns for cohorts. The findings contribute to furthering the understanding of how different generational cohorts allocate their travel budgets to respective travel expenditure categories.     

E-Shopping Patterns of Chinese and US Millennials

A conceptually based taxonomy of 22 distinct forms of e-shopping vehicles is proposed. A modification of the UTAUT and UTAUT2 models is introduced to explain how vehicles are interrelated in regard to consumer reliance upon them for their e-purchasing. A survey of over 1,000 millennial university students, 697 Chinese and 306 US, revealed strong support in both samples for the hypothesized six dimensional pattern underlying consumer vehicular reliance. Further, differences between Chinese and US samples lay not in the nature of the dimensions, but rather in the strength of reliance upon each dimension. Thus, the study demonstrates the utility of the concept/measure of shopper vehicular reliance, VPR (Vehicle Purchasing Reliance) for both practitioners and scientists. In cross-national comparisons, observed differences between samples in strength of reliance supported four of five hypotheses predicated on previously established national distinctions a) in trust and b) in the cultural value of individualism-collectivism.     

An Empirical Study on the Factors Affecting Online Shopping Behavior of Millennial Consumers

The online market in India is growing at an exponential rate, predominantly driven by the massive and extensive promotional activities. This strategy may not be appreciable in the long run, hence a real value addition is essential, which is explored through this study. The main objective of this research is to study about the determinants that are affecting the online purchasing behavior of millennial consumers. Conceptual framework, which consists of four factors that may induce online purchase behavior among millennial consumers: consumer innovativeness, perceived benefits, perceived risks, attitude and intention. The population of the study is from the millennial customer’s segment of Chennai metro, Tamil Nadu, India, and the study used systematic random sampling. The statistical tools applied are chi-square, ANOVA, correlation, multiple regression, and factor analysis. From the outcomes of this study, factors influencing online purchase are analyzed, and suggestive strategies for online companies are recommended.     

The effects of online negative word-of-mouth on dissatisfied customers: A frustration–aggression perspective

Conceptualizing how customers construe online negative word-of-mouth (nWOM) following failure experiences remains unsettled, leaving providers with inconclusive recovery strategy programmes. This empirical study recognizes online nWOM as a co-created encounter between the complainant (i.e., the initiator of the online nWOM) and the recipient (i.e., the consumer who engages with the online nWOM), examining their idiosyncrasies to discern their understanding of the experience. It introduces frustration–aggression theory to online WOM literature, recognizing that it can support a higher-order understanding of phenomena. Through phenomenological hermeneutics, interviews and focus groups, data were collected from millennials in Albania and Kosovo that provided accounts of nuanced and distinctive online nWOM realities. The emerged insights extended extant theory to a three-fold online nWOM typology (i.e., lenient online nWOM, moderate online nWOM and severe online nWOM) recognizing the negative impact customers have on a provider, which is controlled by frustration–aggression tags. Frustration–aggression variations across online nWOM led to the construct of three types of customers that engage in online nWOM, namely tolerable online nWOM customers, rigorous online nWOM customers and confrontational online nWOM customers. Findings culminated with satisfactory recovery strategies aligned to customer inferences regardless of the nWOM context.