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This paper aims to critically review the underlying assumptions and theoretical conceptualizations of duality theories in general. In particular, the paper seeks to augment McCabe et al.’s (2016) reconceptualization of consumer decision-making in tourism. Additionally, the paper offers an integrated duality theory model.

A critical discussion of the basic assumptions, recent advances and constructive criticism of duality theories found in the extant literature prefaces a detailed account of McCabe et al.’s (2016) new general tourist choice model. The author enriches and expands the conceptualization of this model and offers an advanced dual-process theoretical framework for decision-making with a broader range of variables, greater versatility, and suggestions for future research.

The findings indicate mental processes with broader external inputs (stimuli) with possible outputs (decisions/behaviors) warrant inclusion and expansion in a fulsome dual-systems model of tourist decision-making.

This research study adds to the literature of duality theories in consumer decision-making. While factors, contexts, personal preferences and other dimensions in the tourism industry are and will continue to be fluid over time, this study offers an integrated decision-making framework that provides clear linkages that mark pathways for new developments, future research and practitioner applications.

The integrated duality theory framework enables researchers and destination management organizations managers to acquire enhanced explanatory and predictive value of tourism decision-making, which can lead to offering improved products/services. The model’s emphasis on simultaneous engagement of both heuristic and analytic dual processes reflects fundamental human nature; decision-making can be “both/and” as well as “either/or” with heuristic and analytic processes.

Recent neuroscience research shows that two large-scale cortical networks are involved in organizational behavior. These two networks are naturally antagonistic – when one is active the other tends to be suppressed. The focus of the chapter is to apply the opposing-domains hypothesis to problems associated with: (1) trying to balance creative thinking and global processing with analytic reasoning and focused attention; (2) avoiding ethical dangers associated with an imbalance in task positive network (TPN) and default mode network (DMN) thinking; and (3) properly motivating and incentivizing employees so as not to lead to an imbalance between the TPN and DMN. We contend that the opposing-domains hypothesis can inform organizational and leadership theory in areas where single-dimensional dual-process models are inadequate.

This study aims to uncover how heuristic information cues (HIC) and systematic information cues (SIC) of online reviews influence review helpfulness and examine a moderating role of social influence in the process of assessing review helpfulness. In particular, this study conceptualizes a theoretical framework based on dual-process and social influence theory (SIT) and empirically tests the proposed hypotheses by analyzing a broad set of actual customer review data.

For 4,177,377 online reviews posted on Yelp.com from 2004 to 2018, this study used data mining and text analysis to extract independent variables. Zero-inflated negative binomial regression analysis was conducted to test the hypothesized model.

The present study demonstrates that both HIC and SIC have a significant relationship with review helpfulness. Normative social influence cue (NSIC) strengthened the relationship between HIC and review helpfulness. However, the moderating effect of NSIC was not valid in the relationship between SIC and review helpfulness.

This study contributes to the extant research on review helpfulness by providing a conceptual framework underpinned by dual-process theory and SIT. The study not only identifies determinants of review helpfulness but also reveals how social influences can impact individuals’ judgment on review helpfulness. By offering a state-of-the-art analysis with a vast amount of online reviews, this study contributes to the methodological improvement of further empirical research.

本论文旨在揭示网络评论的启发性信息源和系统性信息源对于评论有用性的影响, 以及检验社会影响在评论有用性的调节作用。其中, 本论文基于双重历程理论和社会影响理论来构建理论模型, 并且利用实际数据来验证假设, 通过分析一系列实际客户评论数据。

本论文样本数据为2004年至2018年Yelp.com上面的4,177,377网络评论。本论文采用数据挖掘和文本分析的方法来提取自变量。本论文采用零膨胀负二项回归模型来验证假设。

研究结果表明, 启发性和系统性信息源都对网络评论有用性有着显著作用。规范性社会影响加强了启发性信息源对评论有用性的作用。然而, 规范性社会影响对系统性信息源与评论有用性的关系并未起到有效的调节作用。

本论文对现有评论有用性的文献有着补充贡献, 其采用双重历程理论和社会影响理论来构建理论模型。本论文不仅指出评论有用性的影响因素, 而且展示了社会影响如何影响个人对评论有用性的判断。本论文的样本数据庞大, 数据分析夯实, 这对于进一步的实际测量研究有着方法改进方面的贡献。

Given inconsistent results in prior studies, this paper applies the dual process theory to investigate what social media messages yield audience engagement during a political event. It tests how affective cues (emotional valence, intensity and collective self-representation) and cognitive cues (insight, causation, certainty and discrepancy) contribute to public engagement.

The authors created a dataset of more than three million tweets during the 2020 United States (US) presidential elections. Affective and cognitive cues were assessed via sentiment analysis. The hypotheses were tested in negative binomial regressions. The authors also scrutinized a subsample of far-famed Twitter users. The final dataset, scraping code, preprocessing and analysis are available in an open repository.

The authors found the prominence of both affective and cognitive cues. For the overall sample, negativity bias was registered, and the tweet’s emotionality was negatively related to engagement. In contrast, in the sub-sample of tweets from famous users, emotionally charged content produced higher engagement. The role of sentiment decreases when the number of followers grows and ultimately becomes insignificant for Twitter participants with many followers. Collective self-representation (“we-talk”) is consistently associated with more likes, comments and retweets in the overall sample and subsamples.

The authors expand the dominating one-sided perspective to social media message processing focused on the peripheral route and hence affective cues. Leaning on the dual process theory, the authors shed light on the effectiveness of both affective (peripheral route) and cognitive (central route) cues on information appeal and dissemination on Twitter during a political event. The popularity of the tweet’s author moderates these relationships.

Immersive virtual reality (IVR) has been frequently proposed as a promising tool for learning. However, researchers have commonly implemented a plethora of design elements in these IVR systems, which makes the specific aspects of the system that are necessary to achieve beneficial outcomes unclear. Against this background, this study aims to combine the literature on presence with learning theories to propose that the ability of IVR to present 3D objects to users improves the presence of these objects in the virtual environment compared with 2D objects, leading to increased learning performance.

To test this study’s hypotheses, the authors conducted a 2 (training condition: approach vs avoid) x 2 (object presence: high vs low) between-subjects laboratory experiment that used IVR with 83 female participants.

The results support this study’s hypotheses and show that training with high object presence leads to greater reactions to cues (chocolate cravings) and improved health behaviour (chocolate consumption).

This study shows that increased object presence leads to unique experiences for users, which help reinforce training effects. Moreover, this work sheds further light on how immersive computer technologies can affect user attitudes and behaviour. Specifically, this work contributes to IVR research by showing that learning effects can be enhanced through an increased degree of object presence.

Organizations are investing heavily in social media yet have little understanding of the effects of social media content on user engagement. This study aims to determine the distinct effects of informational, entertaining, remunerative and relational content on the passive and active engagement behavior of social media users.

Facebook Insights and NCapture are used to extract data from the Facebook pages of 12 wine brands over a 12-month period. A multivariate linear regression analysis investigates the effects of content on consuming, contributing and creating engagement behavior.

Results reveal distinct effects of rational and emotional appeals on social media engagement behavior. Rational appeals in social media have a superior effect in terms of facilitating active and passive engagement among social media users, whereas emotional appeals facilitate passive rather than highly active engagement behavior, despite the social and interactive nature of the digital media landscape.

Results contribute directly to understanding engagement and customer experience with social media. Further theoretical and empirical examination in this area will aid in understanding the dynamic nature of the levels of engagement within social media.

Findings provide managers and practitioners with guidelines and opportunities for strategic development of social media content to enhance engagement among consumers in a social media forum.

This study is one of the first to empirically examine the construct of social media engagement behavior. It extends the utility of dual processing theory to demonstrate how rational and emotional message appeals result in online engagement.

Phishing attacks are the most common cyber threats targeted at users. Digital nudging in the form of framing and priming may reduce user susceptibility to phishing. This research focuses on two types of digital nudging, framing and priming, and examines the impact of framing and priming on users' behavior (i.e. action) in a cybersecurity setting. It draws on prospect theory, instance-based learning theory and dual-process theory to generate the research hypotheses.

A 3 × 2 experimental study was carried out to test the hypotheses. The experiment consisted of three levels for framing (i.e. no framing, negative framing and positive framing) and two levels for priming (i.e. with and without priming).

The findings suggest that priming users to information security risks reduces their risk-taking behavior, whereas positive and negative framing of information security messages regarding potential consequences of the available choices do not change users' behavior. The results also indicate that risk-averse cybersecurity behavior is associated with greater confidence with the action, greater perceived severity of cybersecurity risks, lower perceived susceptibility to cybersecurity risks resulting from the action and lower trust in the download link.

This research shows that digital nudging in the form of priming is an effective way to reduce users' exposure to cybersecurity risks.

The ethical consumption movement is increasingly being supported by mobile web applications that enable consumers to reward ethical companies (and punish unethical ones) with their purchasing decisions. By providing company ethics information to consumers at the point of purchase with the swipe of a barcode, these applications hold the promise of an additional market mechanism for motivating companies to serve the public good. However, the degree that this potential is realized will depend on how widely such applications are adopted and diffused. This paper aims to identify design factors for such applications that theory suggests will enhance their diffusion by increasing the likelihood that the user will adopt the information these applications deliver.

The multi‐level model incorporates dual‐process cognitive theory, social capital theory, and technical design features of the mobile technology‐enabled ethical consumption (MTEC) tool to understand factors that contribute to information adoption. In this way the paper takes a design science approach to the problem of enhancing human and societal benefit.

The findings have identified technical design features for MTEC tools that show promise for maximizing data transparency, source credibility, and information adoption. These features also have the potential to minimize consumers' cost/effort to contribute their purchase (and non‐purchase) decision information to the associated community, increasing the quantity and frequency of such contributions.

Market‐based mechanisms for upholding the public good hold much promise for ensuring the long‐term viability of society and the earth. Hence, the role that IT can play in establishing and supporting them demands rigorous theoretically driven models of design prior to empirical validation. Whereas design science research (DSR) is often focused on solving a business problem, this work helps to expand the domain of DSR to encompass the need to address problems of human benefit and civil society.

The purpose of this study is to theoretically link design thinking with behavioural strategy, using empirical results that relate three cognitive dimensions: design thinking personality traits, cognitive passive resistance and linear thinking, and, consequently, determine: if there is a negative relationship between design thinking traits and cognitive passive resistance and if this relationship is mediated by linear thinking.

This study used a quantitative methodology of covariance-based structural equation modelling. The data were collected from a three-scale, self-completed questionnaire, which was constructed using the existing modelling of the academic literature. The questionnaire was validated by confirmatory factor analysis and applied to a sample of 342 professional engineering and business graduates in Colombia.

The results of the structural equation modelling demonstrate a negative relationship between design thinking traits and cognitive passive resistance, and this relationship is mediated by linear thinking. These findings link design thinking and behavioural strategy and build new foundations for future studies, providing further theoretical support to the academic literature’s discussion of the relationship between design thinking and theories of managerial practices and innovation management.

The main limitation of this study is the subjectivity of the answers because of potential bias from the respondents in completing the questionnaire. Another limitation is that the research was conducted only in the context of Colombia, so it is recommended that other studies be carried to generalise the results. This study has several theoretical implications. This study contributes to existing research on design thinking, evidencing a promising field of study to support it theoretically, such as the behavioural strategy. This study also contributes to the literature on innovation management deepening into a field of study that has received less attention in the literature, such as passive cognitive resistance to innovation. Likewise, this study presents a theoretical contribution to the dual process of cognition, proposing a new dimension to the construction of the multidimensional concept of nonlinear thinking. This study also contributes to the behavioural strategy field, evidencing a growing area of application in strategic management, such as design thinking. Finally, this research also proposes the development of a new research avenue about the concept of knowledge hiding as a possible source of innovation resistance.

This research also has implications for business and engineering education and practice. This study’s results suggest that before implementing an organisational initiative such as design thinking, which seeks to change people's behaviour, it is necessary to approach it as a cognitive process and develop strategies to mitigate passive cognitive resistance to change. This research’s results also present implications for business and engineering education, evidencing the need to include other perspectives of thinking that allow non-designers to develop creative thinking.

To the best of the authors’ knowledge, this is the first quantitative study on design thinking as a business management concept using linear thinking of non-designers to relate design thinking traits with cognitive passive resistance. This research provides theoretical and empirical support for framing design thinking within the field of behavioural strategy.

Different age groups display different shopping patterns in terms of how and where consumers buy products. During times of crisis, such behavioural differences become even more striking yet remain under-researched with respect to elderly consumers. This paper investigates the impact of age on retail-related behavioural changes and behavioural stability of elderly shoppers (in comparison to younger consumers) during a crisis.

The authors surveyed 643 Austrian consumers to assess the impact of perceived threat on behavioural change and the moderating effect of age groups. Based on findings from this survey, they subsequently conducted 51 semi-structured interviews to understand the causes of behavioural change and behavioural stability during a crisis.

Elderly shoppers display more stable shopping behaviour during a crisis compared to younger consumers, which is influenced by perceived threat related to the crisis. Such findings indicate that elderly shoppers reinforce their learnt and embedded shopping patterns. The causes of change and stability in behaviour include environmental and inter-personal factors.

Through the lens of social cognitive theory, protection motivation theory and dual process theory, this research contributes to an improved understanding of changes in shopping behaviour of elderly consumers, its antecedents and consequences during a time of crisis. The authors reveal reasons that lead to behavioural stability, hence the absence of change, in terms of shopping during a crisis. They further outline implications for retailers that might wish to better respond to shopping behaviours of the elderly.