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The purpose of this paper is to compare and contrast two types of shopping aids, that is, research‐supporting and solution‐oriented shopping aids, and examine their effectiveness, considering both consumer and situational factors.

Expanded selection and additional detailed information are chosen to illustrate research‐supporting shopping aids, and personalized product recommendations and product ratings are used as examples of solution‐oriented shopping aids. This conceptual paper proposes that usage of shopping aids has an effect on the purchase likelihood and decision satisfaction and focuses on studying the moderating role of consumer product knowledge and time pressure. The thesis is that congruence between the type of a shopping aid and consumer characteristics, such as product knowledge, or situational characteristics, such as time pressure, should enhance the effectiveness of shopping aids.

The research propositions in this paper delineate how the use of retail shopping aids should affect the consumer's purchase likelihood, decision satisfaction, decision confidence, and evaluation costs, under the moderating influence of product knowledge and time pressure. Overall, knowledgeable consumers and less time‐pressed consumers should benefit from research‐supporting shopping aids (i.e. expanded selection and additional product information), whereas novice consumers and time‐pressed consumers should benefit from solution‐oriented shopping aids (i.e. personalized product recommendation and product ratings).

Retail shopping aids are designed to offer sales assistance for consumers to handle the obstacles to purchase completion. However, past efforts to install retail shopping aids have seen mixed results. This conceptual paper advocates that consideration of consumer characteristics and situational factors is necessary to understand the effects of shopping aid usage. This paper thus contributes to the understanding of solutions to purchase decision deferral and the determinants of decision satisfaction, and has practical implications for retailers regarding providing retail shopping aids to facilitate purchase completion and shopping experiences.

Knowing which of the hundreds of elements that comprise a consumer's purchasing decision are the most important is essential if leaders are to wisely allocate resources and support actions that will have an expedient impact on growth.

IBM Consulting is testing consumer decision process (CDP) modeling in a variety of industries.

A new tool, CDP modeling, offers companies a combination of traditional market research and unique quantitative modeling can take the guesswork out of why consumers do or do not buy.

Comparative testing with other consumer decision research tools needs to be done.

Achieving the benefits of CDP requires starting with strategic issues like competitive gaps, selecting consumer decisions that provide the best information for this issue, like why consumers choose a particular retailer, and implementing changes based on insights discovered.

Armed with insights based on CDP modeling that better explain why consumers choose certain products, channels and competitors over others, companies can market existing products more effectively than their rivals and take market share from them.

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.

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.

The cognitive composition process of attribute information plays a critical role in heuristic aspects of consumers’ multiattribute preferential decisions. This study examines the effects of attribute information order and attribute information amount on consumers’ multiattribute preferential decisions under the premise of consumers’ limited information processing capacity. An experiment with two separate designs is conducted for testing the different hypotheses. The results support the hypothesis that consumers’ multiattribute preferential decisions are influenced by the amount of attribute information received/processed. The attribute information order is found to affect not only the outcomes of consumer decisions but also the amount of attribute information processed. These findings further suggest that consumers may be more inclined to adopt strategies of a noncompensatory heuristic nature when making multiattribute preferential decisions.

The main objective of this research is to investigate the factors that influence consumer purchase decisions for halal products before and during the COVID-19 pandemic, based on the Engel-Kollat-Blackwell (EKB) theory.

The research was conducted as a survey. The influencing factors were determined based on the grey relational analysis (GRA) approach.

The findings indicate before the COVID-19 pandemic, consumers mainly purchased halal products based on four key factors: purchasing experience, certification label, Internet searches and past consumption experience. However, during the pandemic, the ranking and factors have changed to six indicators, which are past consumption experience, purchasing experience, certification labels, standardized specifications, Internet searches and halal certification labels.

The study was limited by the sample size and geographical area. Nevertheless, the findings could be further explored by expanding related theories toward understand human decisions based on spiritual beliefs.

The findings of this study have important implications for research, practice and society. Understanding the factors influencing halal purchase decisions before and during the pandemic can help businesses, policymakers and halal certification bodies to better cater to consumers' needs and preferences and ensure the continued growth and development of the halal industry.

This study evaluates halal purchasing decisions between periods of certainty and uncertainty by using the GRA. Changes in halal consumption and purchase decisions in response to COVID-19 pandemic have become an emerging topic of discovery. The study addresses the gap in the literature regarding changes in consumer decision pattern.

The purpose of this study is to segment consumers according to their decision-making styles in the context of social commerce. Additionally, the differences among consumer segments in consumer innovativeness, perceived risk, satisfaction and demographic characteristics are evaluated.

A total of 384 respondents who shopped for restaurant deals through social commerce participated in this study through an online survey. Two-step cluster analyses were used to segment social commerce consumers into groups, using their decision-making styles.

The results showed three types of social commerce consumers of restaurant deals: innovative brand-preferring consumers; realistic consumers; and passive consumers. Innovative brand-preferring consumers chose specific brands and showed the most innovativeness, while realistic consumers and passive consumers were price-conscious and far more cautious in purchasing restaurant deals using social commerce. Passive consumers were, in addition, confused by overchoice. All three consumer groups perceived higher risks to privacy in purchases using social commerce. Passive consumers were especially aware of the risk, while the innovative brand-preferring consumers and the realistic consumers were less concerned about risk. Consumers were especially likely to perceive economic risk, performance risk, social risk, psychological risk, privacy risk and time risk. Innovative brand-preferring consumers were more likely to be innovative and showed a higher level of satisfaction, while passive consumers showed the lowest satisfaction and the least innovativeness.

This study provides additional insights on consumer decision-making styles in the context of social commerce in Korea.

Consumer decision-making styles can help restaurant managers to develop deals tailored to specific types of consumers, as well as create customized products and services.

This study is one of the very few attempts to investigate consumer decision-making styles in social commerce for restaurant deals, so it contributes to the literature on social commerce in the hospitality industry. This study shows that consumer decision-making styles are important in understanding the behavior of social commerce consumers.

The purpose of this paper is to enhance the understanding of consumer empowerment in the relationship between consumers and service providers. It draws on self-efficacy theory to conceptualize consumer empowerment and explain the impact on perceived performance risk in insurance decision making.

This study employs data collected from an online survey involving 487 consumers in Switzerland, who recently decided on an insurance service. A structural equation model quantifies both the psychological effects on consumers’ perception of insurance services and behavioral effects on their decision-making process.

Perceived consumer empowerment is conceptualized by perceived self-efficacy and perceived controllability. Both have a significant impact on perceived performance risk, while the former is partially mediated by the preference to delegate the decision to a surrogate. Moreover, customers’ involvement in the purchase process moderates both the direct and indirect effect of perceived self-efficacy on perceived performance risk.

The results are based on consumers’ perceptions from a single country. Furthermore, consumers’ perceptions were surveyed with a time lag after the decision-making process. To increase rigor, perceptions should be collected during decision making.

Results show that consumer empowerment can be employed as a risk reduction strategy. Consumers with self-efficacy and controllability beliefs perceive significantly less performance risk; however, practitioners should consider that consumers are also motivated to make decisions independently rather than delegating their decisions. Furthermore, consumer empowerment depends on consumer will. For largely indifferent consumers, empowerment does not affect risk or decision delegation preference.

The study is among the few empirical works to examine the effects of consumer empowerment on the consumer-service provider relationship on an individual level. Furthermore, applying consumer empowerment in relationship marketing implies a shift in research focus to the question of how consumers construe decision-making situations rather than objectively measuring the state of consumer relationship.

With the growth of online shopping, during which consumers are not able to touch products, there is much for researchers and marketers to learn about the underlying role of the need for touch (NFT) in driving online shopping decisions. Consumers' emotional state prior to purchase is considered a situational variable that affects their attitude and behaviour. This study explores the effects of consumers' NFT and pre-purchase emotional states on their online decision-making behaviour, examining perceived quality, confidence in product judgment and intention to purchase.

A field experiment was conducted using a scenario presenting buying a sweater as a real purchase opportunity available to participants. A convenience sample of two hundred ninety-eight university students at a university in the southeast of France was used in this study. A 2 (NFT: high/low determined by a median split) × 2 (emotional states: high/low level) analysis of variance (ANOVA) was used to further examine the interaction of NFT and emotional states in consumer decision making.

The results indicate that autotelic NFT and positive emotional states experienced before shopping have an impact on consumers' decisions in relation to perceived quality, confidence in product judgment and intention to purchase. Furthermore, this study demonstrates that instrumental vs autotelic NFT affects consumer decision making, with mixed support found for negative emotional states acting as possible moderators.

This study advances the NFT field and leads to insights regarding online consumer purchase decision making by exploring instrumental vs autotelic NFT and pre-purchase emotional states as antecedents of consumer decisions.

Prior literature indicates conflicting effects of online product information, which may complicate or simplify consumer purchase decisions. Therefore, the purpose of this paper is to investigate how different online product information (i.e. the choice set size and the popularity information and its presentation) affect consumers’ decision making and the related market outcomes.

This research relies on information-processing theories and social learning theory. By stepwise conducting two 2×2 within-subject factorial design experiments, this research examines the effects of the choice set size, product popularity information and product presentation on consumers’ decision making and the aggregated market outcomes.

The results show that product popularity information led consumers to either simplify or complicate their decision strategy, depending on the size of the choice sets. Additionally, presenting products by their popularity in descending order resulted in consumers making decisions with a larger decision bias. The results also show that the presence of product popularity was more likely to forge a “superstar” structure in a large market.

The research suggests that e-retailers and e-marketplace operators should carefully utilize product popularity information. Multiple mechanisms that shape different shopping environments with different orders are necessary to create a long-tailed market structure.

This study found the mixed effects of product popularity information when it is presented in different environments (i.e. the large/small choice set and the sorted/randomized product presentation). The overuse of popularity information may induce consumers’ decision bias.