Search results

Understanding how to retain users of augmented reality (AR) shopping apps and to motivate them to purchase is vital to the success of AR apps. This study assessed the chain effect of AR attributes on purchase intention and reuse intention through cognitive and affective factors.

The data were collected from Thai users of the IKEA Place app using an online survey. A link to the survey was posted on Thai furniture groups on social media platforms. The 439 responses were analysed using the partial least squares (PLS) approach.

The results revealed that all four AR attributes, namely interactivity, vividness, novelty and spatial presence, significantly influence perceived enjoyment, perceived diagnosticity and perceived value. Brand attitude, as a key driver of purchase intention, is influenced by perceived value. Attitude towards the app significantly affects reuse intention and is affected by affective and cognitive factors.

The findings enable shopping app designers and marketers to successfully promote the brand, retain users and boost sales by effectively incorporating AR.

The study extends the literature on the impacts of AR apps on customer behaviours by including affective factors in addition to cognitive factors to explain why AR attributes influence customer attitudes and behaviours. Furthermore, the study demonstrates the serial causal paths from AR attributes to customer behaviours.

This study aims to examine the effect of supervisor developmental feedback on employee silence behaviour by developing a moderated mediation model. The model focuses on the mediating role of role breadth self-efficacy and high activated positive affect underpinning the relationship between supervisor developmental feedback and employee silence behaviour, and the moderating role of interdependent self-construal.

The two-wave survey was conducted among 265 employees. Structural equation modelling was conducted to test the mediation and moderation mediation hypotheses.

Results indicated that high activated positive affect mediated the negative relationship between supervisor developmental feedback and employee silence behaviour. The authors also found that interdependent self-construal moderated the relationship between supervisor developmental feedback and role breadth self-efficacy, as well as the indirect effect of supervisor developmental feedback on employee silence behaviour via role breadth self-efficacy.

This empirical study provides preliminary evidence of the mediating role of breadth self-efficacy and high activated positive affect in the negative relationship between supervisor developmental feedback and employee silence behaviour. The moderated mediation results further show that the mediation of role breadth self-efficacy between supervisor developmental feedback is contingent on individual interdependent self-construal, such that the mediation effect is significant among individuals with high interdependent self-construal, but the mediation effect of high activated positive effect is independent of individual interdependent self-construal. The findings further extend boundary conditions (interdependent self-construal) that may constrain the effect of supervisor developmental feedback on role breadth self-efficacy and high activated positive affect. The research makes considerable contributions to the cognitive-affective personality system theory by specifying the cognitive and affective mechanisms between supervisor developmental feedback and employee silence behaviour, as well as the boundary conditions.

A shared cognitive schema is the fundamental source of tacit understanding within a team. This study aims to address how such a shared cognitive schema emerges and evolves in an interdisciplinary research team.

This study uses an exploratory single case study to analyze the emergence and evolution of a shared cognitive schema in an interdisciplinary research team systematically. The authors spent more than two years collecting data from the IAM team via semistructured interviews, archival data and observation. Subsequently, a framework for the resulting mechanism model was developed by analyzing the data using a three-step process.

This study shows that as the interdisciplinary research team develops, the shared cognitive schema passes through three stages: overlapping cognitive schema, complementary cognitive schema and synergetic cognitive schema. The mechanisms of overlap, complement and synergy play important roles. The convergent roles of partner-based recruiting, knowledge categorization and following the existing institution facilitate the overlapping of knowledge structures. Complementary cognitive schema sharing is facilitated by interdisciplinary member selection, knowledge stock expansion and the effects of accomplished mentors. The synergetic behaviors of group voice, interactive cognition and adaptive learning facilitate synergetic cognitive schema sharing.

This study is the first to discuss the emergence and evolution of a shared cognitive schema at the microlevel of knowledge structure and belief structure. It offers a new theoretical perspective on the development rules of scientific research teams and provides practical enlightenment regarding the establishment and operation of interdisciplinary research teams.

We argue that a fundamental issue regarding how to search and how to switch between different cognitive modes lies in the decision rules that influence the dynamics of learning and exploration. We examine the search logics underlying these decision rules and propose conceptual prompts that can be applied mentally or computationally to aid managers’ decision-making.

By applying Multi-Armed Bandit (MAB) modeling to simulate agents’ interaction with dynamic environments, we compared the patterns and performance of selected MAB algorithms under different configurations of environmental conditions.

We develop three conceptual prompts. First, the simple heuristic-based exploration strategy works well in conditions of low environmental variability and few alternatives. Second, an exploration strategy that combines simple and de-biasing heuristics is suitable for most dynamic and complex decision environments. Third, the uncertainty-based exploration strategy is more applicable in the condition of high environmental unpredictability as it can more effectively recognize deviated patterns.

This study contributes to emerging research on using algorithms to develop novel concepts and combining heuristics and algorithmic intelligence in strategic decision-making.

This study offers insights that there are different possibilities for exploration strategies for managers to apply conceptually and that the adaptability of cognitive-distant search may be underestimated in turbulent environments.

Drawing on insights from machine learning and cognitive psychology research, we demonstrate the fitness of different exploration strategies in different dynamic environmental configurations by comparing the different search logics that underlie the three MAB algorithms.

Although strategic scholars have made great effects to exploring the moderating roles of team interaction in explaining the effect of top management team (TMT) diversity, they have adopted seemingly conflicting theoretical perspectives to explain how it works. Drawing on ideas from the threat rigidity theory, the authors integrated these perspectives by proposing a contingency model in which the relationships between TMT diversity and adaptive firm performance depend on the matching between the internal context (i.e. overlapping team tenure) and external context (i.e. severity of threat).

This study sampled 579 Chinese A-share listed companies that have been severely affected by the COVID-19 pandemic, and multilevel linear regression analysis was used to test the hypothesis.

Results provided support for this hypothesis. Specifically, the interaction between TMT age/tenure diversity and overlapping team tenure is significant only when the severity of threat is high, while the interaction between TMT functional diversity and overlapping team tenure is significant only when the severity of threat is low.

The results of this study provide a comprehensive perspective to predict the performance impact of team diversity and contribute to diversity research and practice.

Seekers who visit professional virtual communities (PVCs) are usually motivated by knowledge-seeking, which is a complex cognitive process. How do seekers search for knowledge, and how is their search linked to prior knowledge or PVC situation factors? From the cognitive process and interactional psychology perspectives, this study investigated the three-way interactions between seekers’ expertise, task complexity, and perceptions of PVC features (i.e. knowledge quality and system quality) on knowledge-seeking strategies and resultant outcomes.

A field experiment was conducted with 119 seekers in a PVC using a 2 × 2 factorial design of seekers’ expertise (i.e. expert versus novice) and task complexity (i.e. low versus high).

The study reveals three significant insights: (1) For a high-complexity task, experts adopt an ask-directed searching strategy compared to novices, whereas novices adopt a browsing strategy; (2) For a high-complexity task, experts who perceive a high system quality are more likely than novices to adopt an ask-directed searching strategy; and (3) Task completion time and task quality are associated with the adoption of ask-directed searching strategies, whereas knowledge seekers’ satisfaction is more associated with the adoption of browsing strategy.

We draw on the perspectives of cognitive process and interactional psychology to explore potential two- and three-way interactions of seekers’ expertise, task complexity, and PVC features on the adoption of knowledge-seeking strategies in a PVC context. Our findings provide deep insights into seekers’ behavior in a PVC, given the popularity of the search for knowledge in PVCs.

To understand the mechanisms underlying social media discontinuance behavior, this study explores factors affecting social media discontinuance behavior from the perspective of social cognitive theory (SCT).

Based on SCT, this study puts forward a theoretical model incorporating habit, excessive use and negative emotions to predict social media discontinuance behavior. The proposed research model was empirically tested with 465 responses collected from WeChat users in China via an online survey. WeChat is one of the most popular social media in China. However, WeChat also faces the challenges of reduced or terminated usage among its users. Partial least squares structural equation modeling (PLS-SEM) technique was used to analyze the data.

The research results in this study show that habit exerts a negative effect on social media discontinuance behavior, while exhaustion and regret have positive influences. In addition, habit positively affects excessive use, which further leads to negative emotions of social media exhaustion and regret. Moreover, gender moderates the relationship between habit and social media discontinuance behavior.

This study adds to the literature of information system (IS) use lifecycle by investigating user behavioral changes regarding a transition from habituated to excessive use and further to discontinuance behavior. This study also helps elucidate the complex role of habit by explaining social media discontinuance from the social cognitive view. Furthermore, this study advances the current understanding of gender difference in social media discontinuance in the Chinese context. The study also offers insights to practitioners on how to prevent individuals from discontinuing their use of social media.

Nowadays, universities increasingly consider reputation as a key component for improving quality and rankings. A positive reputation opens doors to added value and diverse opportunities. This paper aims to explore Middle Eastern higher education managers' perceptions of university reputation components.

Given the significance of this concept in Middle Eastern universities, a descriptive phenomenological qualitative approach is adopted to identify these key components. The study includes interviews with university managers, and data are collected through semi-structured interviews and analyzed thematically.

The findings reveal that, from the perspective of higher education managers, university reputation is influenced by four main components: university management and leadership, quality and performance, identity and image and social responsibility. These components are tailored to the context of Middle Eastern countries.

Practical implications are clearly laid out in the form of four key themes for higher education managers in Middle Eastern countries to manage reputation.

The study’s outcomes can be used as a guide for university managers in developing countries to change the situation in their favor and achieve great success in the competitive condition of universities by planning and making policies in this direction. Also, the managers of higher education in the Middle Eastern countries can take advantage of the components of this study to improve the quality and quantity of their universities and take an important step towards increasing the university’s reputation at the international level.

Metaverse technology is of interest to researchers and practitioners in tourism and hospitality. The metaverse offers tourists the capacity to enjoy unprecedented tourism experiences. These opportunities may radically change the tourism and hospitality landscape. This study aims to examine how metaverse experiences affect tourists' cognitive processing, satisfaction and loyalty toward metaverse tourism using the stimulus-organism-response paradigm and cognitive experiential self-theory.

An online survey was undertaken to gather information from 329 respondents who were frequent users of different metaverse applications to meet the study's objectives. Data were evaluated through partial least squares structural equation modelling.

The findings revealed that metaverse experiences, such as immersion, escapism and enjoyment, had a significant positive impact on metaverse organismic experience. Additionally, metaverse cognitive processing positively influenced metaverse tourist responses, including satisfaction and loyalty, with tourist involvement acting as a moderator.

This study provides guidelines for metaverse developers and travel industry professionals to encourage visitor satisfaction and loyalty to metaverse tourism.

Metaverse 技术引起了旅游和酒店业的研究人员和从业人员的兴趣。 元宇宙为游客提供了享受前所未有的旅游体验的能力。 这些机会可能会从根本上改变旅游业和酒店业的格局。 本研究旨在使用刺激-有机体-反应 (S-O-R) 范式和认知体验自我理论 (CEST) 研究虚拟世界体验如何影响游客的认知处理、满意度和对虚拟世界旅游的忠诚度。

为了实现研究目标, 我们开展了一项在线调查, 从 329 名经常使用不同元宇宙应用程序的受访者那里收集信息。 通过偏最小二乘结构方程模型 (PLS-SEM) 评估数据。

研究结果表明, 虚拟世界体验, 如沉浸、逃避现实和享受, 对虚拟世界有机体体验有显着的积极影响。 此外, 虚拟世界的认知处理对虚拟世界游客的反应产生了积极影响, 包括满意度和忠诚度, 游客的参与起到了调节作用。

这项研究为元宇宙开发人员和旅游行业专业人士提供指导方针, 以鼓励游客对元宇宙旅游的满意度和忠诚度。

El Metaverso esta siendo de de interés para investigadores y profesionales en turismo y hotelería. Este avance tecnológico ofrece al turista la capacidad de disfrutar de experiencias turísticas inéditas, generando oportunidades que pueden cambiar radicalmente el panorama de la industria del turismo. Este estudio tiene la intención de examinar cómo las experiencias del metaverso afectan el procesamiento cognitivo, la satisfacción y la lealtad de los turistas hacia el turismo del metaverso utilizando el paradigma de estímulo-organismo-respuesta (S-O-R) y la auto-teoría cognitiva experiencial (CEST).

Se realizó una encuesta en línea para recopilar información de 329 encuestados que eran usuarios frecuentes de diferentes aplicaciones de metaverso para cumplir con los objetivos del estudio. Los datos se evaluaron a través de modelos de ecuaciones estructurales de mínimos cuadrados parciales (PLS-SEM).

Los hallazgos revelaron que las experiencias del metaverso, como la inmersión, el escapismo y el disfrute, tuvieron un impacto positivo significativo en la experiencia organísmica del metaverso. Además, el procesamiento cognitivo del metaverso influyó positivamente en las respuestas de los turistas del metaverso, incluidas la satisfacción y la lealtad, y la participación del turista actuó como moderador.

Este estudio proporciona pautas para los desarrolladores de metaversos y los profesionales de la industria de viajes para fomentar la satisfacción y la lealtad de los visitantes al turismo de metaversos.

The purpose of this research is to investigate the cross-level effects and mechanisms of inclusive leadership on employee innovation in team contexts, and further explore the boundary conditions of inclusive leadership.

This study collected data from 237 leader-member dyads in 60 teams of Chinese firms. The research utilized multilevel linear models and multilevel structural equation models in the R language to test the hypothesized model.

The findings suggest that inclusive leadership has a positive impact on both employee incremental and radical innovation. Team psychological safety and employee role breadth self-efficacy mediate the effects. Employee risk avoidance propensity negatively moderates the mediating role of role breadth self-efficacy in the relationship between inclusive leadership and incremental innovation.

Leaders should pay attention to team psychological safety, employee role breadth self-efficacy and employee individual risk avoidance propensity that influence employee innovation to maximize the effectiveness of inclusive leadership.

This research expanded the level of analysis from individual to team, exploring cross-level effects and mechanisms of inclusive leadership on employee innovation in team contexts, and clarified the effectiveness conditions of inclusive leadership.