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This paper aims to determine Chinese peasant consumers' decision‐making styles.

The paper reflects on the psychological orientation and decision‐making styles of peasants' purchase of durable appliances. This has the dual character of purchase behavior by the study on factor analysis from a view of peasants' consumption psychology. The consumer style inventory (CSI) was administered in January 2009 to 5,827 peasants in 656 villages in 14 provinces which were selected randomly in China. Both an exploratory factor analysis and a confirmatory factor analysis are adopted to validate the CSI inventory. This results in a 25‐item and eight‐factor solution.

Findings indicate that three consumer segments are formed: confused by over choice peasant consumer; fashion and impulsive peasant consumer; and perfect peasant consumer. The income effect on a farmer's purchasing has a threshold, while income does not reach the limit, income does not have an obvious effect on the decision‐making styles of peasants' purchasing on durable appliances, the category of consumer styles depends on the “individual” factor of peasants' consumption psychology, and their consumption behavior characteristics depend on the grade of psychological orientation and decision‐making styles of the consumer.

The marketing mix of an enterprise should recognize the potential differences of psychology of the peasant consumer. Enterprises should adopt positive marketing strategies in pricing to induce and inspire consumer motivation and behavior, so that enterprises can positively interact with rural consumers and achieve optimal allocation of marketing resources.

This paper decribes the decision‐making styles of Chinese peasant consumers based on their purchasing behavior with regard to consumer and consumption psychology. The effect of annual average income and income source of the family on the consumers' decision‐making styles is not obvious, but the number of people in a family has some effect on consumers' decision‐making styles.

This study aims to examine the effect of Muslim consumers’ religiosity on their brand verdict regarding clothing brands, through the mediating role of decision-making style, brand status and brand attitude.

Structural equation modeling was used to analyze the data collected from 200 clothing buyers in Mashhad, one of Iran’s religious cities.

The results indicate that intrapersonal religiosity, compared to interpersonal religiosity, has a more significant effect on Muslim consumers’ decision-making styles, and different decision-making styles of Muslim consumers affect their brand verdict through brand status and brand attitude.

The research sample consists solely of respondents from the Islamic religion. Therefore, the impact of religiosity might differ among individuals from other religions, such as Christianity and Judaism.

This study’s findings are crucial for clothing brands, both national and international, that cater to the Muslim customers’ market. They need to consider the degree of religiosity when segmenting and targeting their market. This study shows that clothing brand marketers can best influence the brand verdict of Muslim consumers by targeting those with a brand-loyal decision-making style, focusing on their religious beliefs.

To achieve success in Iran’s Muslim market, marketers must consider their consumers’ religious beliefs and tailor their marketing plans accordingly. This study aims to investigate the impact of religiosity on consumer behavior toward brands in Iran’s Muslim market.

This study aims to operationalize consumer decision-making styles as higher-order constructs and investigates the influence of two distinct subdimensions of consumer vanity – namely, appearance vanity and achievement vanity – on consumer decision-making orientations (CDMO).

Using data from an online survey of 319 young adults, the authors construct a higher-order structural model capturing the following three orientations: social/conspicuous, utilitarian and undesirable. The partial least squares structural equation modeling approach was used to test the validity of the higher-order structural model and the hypothesized relationships.

Results, confirming the higher-order structure of consumer decision-making styles, highlight the distinctive impacts of the vanity dimensions on different CDMOs. Specifically, appearance vanity predominantly affects social and undesirable orientations, and achievement vanity influences utilitarian orientation.

While several theoretical classifications of consumer decision-making styles have been proposed in the past, none of the earlier studies leveraged those classifications as higher-order models. Addressing this literature gap, this study provides empirical evidence associating CDMOs with a specific consumer trait – vanity – thereby validating the higher-order nature of consumer decision-making styles.

The rise of artificial intelligence (AI) and machine learning has largely promoted the emergence of “autonomous decision-making” (ADM). This paper aims to establish a personalized artificial intelligent housekeeper (AIH) that knows more about our hobbies, habits, personality traits, and shopping needs than ourselves and can replace us to do some habitual purchasing behavior.

We propose an AI decision-making method based on machine learning algorithm, a novel framework for personalized customer preference and purchase. First, the method uses interactive big data to predict a potential consumer’s decision possibility. Then, the method mines the correlation between consumer decision possibility and various factors affecting consumer behavior. Finally, the machine learning algorithm is used to estimate the consumer’s purchase decision according to the comprehensive influencing factors data of the target consumer.

The experimental results show that the method can predict the regular consumption behavior of consumers in advance and make accurate decision-making behavior. It can find correlations from a large amount of data to help predict many simple purchase decisions in our life, and become our AIH.

This study introduces a new approach that not only has the auxiliary decision-making function but also has the decision-making function. These findings contribute to the research on automated decision-making process of AI and on human–technology interaction by investigating how data attributes consumer purchase decision to AI.

Independent travelers are those vacationers who have booked only a minimum of their transportation and accommodation arrangements prior to departure on the vacation. Independent travel is an important and growing sector of worldwide tourism. Choice of vacation itinerary for the independent vacation represents a complex series of decisions regarding purchase of multiple leisure and tourism services. This chapter builds and tests a model of independent traveler decision-making for choice of vacation itinerary. The research undertaken employs a two-phase, inductive–deductive case study design. In the deductive phase, the researcher interviewed 20 travel parties vacationing in New Zealand for the first time. The researcher interviewed respondents at both the beginning and the end of their New Zealand vacations. The study compares pre-vacation research and plans, and actual vacation behaviors, on a case-by-case basis. The study examines case study narratives and quantitative measures of crucial variables. The study tests two competing models of independent traveler decision-making, using a pattern-matching procedure. This embedded research design results in high multi-source, multi-method validity for the supported model. The model of the Independent Vacation as Evolving Itinerary suggests that much of the vacation itinerary experienced in independent travel is indeed unplanned, and that a desire to experience the unplanned is a key hedonic motive for independent travel. Rather than following a fixed itinerary, the itinerary of an independent vacation evolves as the vacation proceeds. The independent traveler takes advantage of serendipitous opportunities to experience a number of locations, attractions and activities that they had neither actively researched nor planned.

With rapidly changing marketing landscape, nowadays, the formulation of various marketing strategies is increasingly focused on how consumers tend to make decisions. To meet the highly demanding consumer expectations, market segmentation can be used as an important marketing strategy. Due to gender marketing concept familiarity in the contemporary world, gender difference is one of the reference features in the process of market segmentation for marketers. This research is aimed to examine various determining factors that foster consumer purchase decision-making and the differences between consumers of different genders while making shopping and purchase decisions with special reference to an emerging economy, i.e. Pakistan.

Based on a cross-sectional sample of 367 consumers, the study adapted Sproles and Kendall's (1986) Consumer Style Inventory (CSI) to scrutinize the decision-making of both genders in Pakistan. For data analysis, the exploratory and confirmatory factor analysis in addition to the structural equation modeling has been used.

The study emphasized that, with the exception of quality awareness, brand consciousness, fashion consciousness, option overload and price consciousness greatly affect buying decisions. In addition, when it comes to consumer purchase decision-making, significant gender variations were discovered for both fashion consciousness and price consciousness.

Drawing upon the distinctive cultural characteristics of Pakistan and its people, in-depth research was conducted on purchasing behaviors of Pakistani consumers and the decision-making characteristics of customers of different genders were summarized. The outcomes are expected to make a significant contribution to the field of gender marketing by organizations.

This study explores the decision-making powers of Australian female consumers in the financial product market. More precisely, it examines how the integrative effects of rationality, emotions and personality traits influence the decision-making powers of Australian female consumers when making financial product purchase decisions.

The study employs a quantitative research approach, utilising a survey strategy. The proposed conceptual model was tested using structural equation modelling (AMOS) on a valid 357 responses from Australian female consumers.

The findings revealed that rationality, self-efficacy and impulsivity have a positive impact on the decision-making powers of Australian female consumers. Besides this, self-efficacy and anxiety had significant moderating effects on the decision-making power of Australian female consumers when buying financial products, whereas anger and impulsivity were found to have no moderating effects.

The study offers understanding on the role of emotions and personality traits in financial decision-making, which can help financial institutions design sound products and services that can also ensure consumers' overall well-being.

Informed by the theoretical notions of the appraisal-tendency framework (ATF) and emotion-imbued choice model (EIC), the study makes a unique contribution by investigating the impact of rationality, emotions and personality traits on the decision-making powers of female consumers in the Australian financial product market.

The purpose of this study is to examine factors affecting the extent of consumers’ use of electronic word-of-mouth (eWOM), specifically online product reviews (OPRs), during their decision-making process. It also examines their motives for using OPRs.

The study uses an exploratory qualitative research methodology involving observation and free-flowing face-to-face interviews with consumers who have previously made a purchase online and who read OPRs during the decision-making process. An adaptation of the grounded theory method is used for collection, coding and data analysis.

Findings confirm previously uncovered motives for consumers’ use of OPRs. In addition, the findings suggest that two previously unidentified factors influence the extent of consumers’ use of OPRs: “decision-making drive” and “decision-making drag”. Decision-making drive is a mental momentum created when one or more factors that enhance decision-making readiness are present. This momentum tends to accelerate the decision-making process and shorten the information search process, leading to a reduction in the extent of OPR use. In contrast, decision-making drag is a mental resistance created when one or more factors that impede decision-making readiness are present. This resistance tends to decelerate the decision-making process and lengthen the information search process, leading to an increase in the extent of OPR use.

Focused on the pre-consumption phase of eWOM, between the stages of product need recognition and information search, this study is the first to identify decision-making drive and decision-making drag as additional psychological mechanisms affecting the extent of OPR use by consumers. For marketers, understanding these mechanisms has strategic marketing implications that can provide guidance to brands, websites and online review systems.

Using both qualitative and quantitative approaches, how consumers choose a financial institution for their checking accounts is investigated in this study. It was found that, although most consumers value convenience as one of the most important decision‐making criteria, their definitions of convenience vary across consumers. How different consumers use different decision‐making criteria and heuristics is reported, and the implications for financial service marketers are drawn from the findings.

This study aims to evaluate the role of social media on the hotel decision-making process of consumers during the evaluation stage of searching, identifying the alternatives and selecting a hotel in India. It will help the stakeholders in the hotel industry of India to make the social media platform more efficient for consumers by providing inputs on the factors consumers consider while making online hotel purchase.

This study involves an exploratory qualitative approach which includes 32 face-to-face, semi-structured, in-depth individual interviews with the social media platform users. The selection of interviewees for this study has been done on the basis of a non-random purposive sampling approach.

The findings reveal that social media plays an important role in affecting the way consumers search, decide and book hotels. It also suggests that social media helps consumers in collecting information about products and services, assessing alternatives and making their choices. It confirms that while negative facets exist, the positive benefits outweigh the negative aspects of using social media when selecting a hotel. The results also reveal the impact of circumstantial influence related to social media on hotel selection, on the basis of content source and the level of trust and accuracy in the content.

This study has some strategic implications for hospitality marketing and management related to a better understanding of the influence of social media on the hotel customer decision-making process. The study shows that a variety of social media with associated content sources and levels add to the complexity of hotel-related information search and decision behaviour.

The study makes a contribution by addressing the existing gaps and bridging the arena of consumer behaviour and social media literature in a hotel context and sheds light on how consumer decisions while selecting a hotel are influenced through social media. The core contribution is the generation of factors through in-depth interviews which are based on real-life scenarios relating to the influence of social media on hotel decision-making.