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Allocation of the marketing budget has become increasingly challenging due to the diverse channel exposure to customers. This study aims to enhance global marketing knowledge by introducing an ensemble attribution model to optimize marketing budget allocation for online marketing channels. As empirical research, this study demonstrates the supremacy of the ensemble model over standalone models.

The transactional data set for car insurance from an Indian insurance aggregator is used in this empirical study. The data set contains information from more than three million platform visitors. A robust ensemble model is created by combining results from two probabilistic models, namely, the Markov chain model and the Shapley value. These results are compared and validated with heuristic models. Also, the performances of online marketing channels and attribution models are evaluated based on the devices used (i.e. desktop vs mobile).

Channel importance charts for desktop and mobile devices are analyzed to understand the top contributing online marketing channels. Customer relationship management-emailers and Google cost per click a paid advertising is identified as the top two marketing channels for desktop and mobile channels. The research reveals that ensemble model accuracy is better than the standalone model, that is, the Markov chain model and the Shapley value.

To the best of the authors’ knowledge, the current research is the first of its kind to introduce ensemble modeling for solving attribution problems in online marketing. A comparison with heuristic models using different devices (desktop and mobile) offers insights into the results with heuristic models.

The current study aims to propose and empirically investigate a conceptual model of the most relevant antecedents and consequences of Corporate Social Responsibility (CSR) attribution, thus providing a practical and concise model as well as examining brand attachment as a mediator explaining the relationship between CSR attribution and its consequences.

A between-subjects experimental design was employed. The study included two experimental conditions; intrinsic and extrinsic CSR attribution and a control condition. An online self-administered survey was utilised for data collection. The sample was a convenience sample of 336 university students. Both one-way between-groups ANOVA and Partial Least Squares-Structural Equation Modelling (PLS-SEM) were utilised for hypotheses testing.

The most significant antecedents of CSR attribution in order of importance are the firm's approach to CSR communication, past corporate social performance, CSR type and the firm's call for customers' participation in its CSR. CSR attribution exerted a significant direct positive impact on brand attachment and trust. Three significant indirect consequences of CSR attribution were PWOM intention, purchase intention and brand loyalty intention. Whereas trust played a significant mediating role between CSR attribution and its three indirect consequences, brand attachment exerted significant mediation only between CSR attribution and brand loyalty intention. Brand attachment might mediate the relationship between CSR attribution and purchase intention. However, brand attachment failed to play a mediating role between CSR attribution and PWOM intention.

Several studies marginally investigated CSR attribution. Despite the vital role of CSR attribution in how consumers receive firms' CSR engagement, the availability of CSR attribution-centric studies is limited. By introducing a model of the most relevant antecedents and consequences of CSR attribution, this study aids in understanding the psychological mechanism underlying consumers' CSR attribution and provides valuable implications.

The study examines the potential moderating effects of repeating purchase cues and product knowledge on the relationship between the varying consistency of the review set and causal attribution. This study also investigates how causal attribution correlates with the perceived misleadingness of the review set.

A scenario-based experiment was conducted with 170 participants to explore the relationship between the consistency of the review set and causal attribution and how repeating purchase cues and product knowledge moderates this relationship.

Findings suggest that inconsistent review sets lead to more product (vs reviewer) attribution than consistent review sets. The repeating purchase cues mitigate the negative relationship between the consistency of the review set and product attribution, whereas product knowledge mitigates the positive relationship between the consistency of the review set and reviewer attribution. Furthermore, the results indicate that high product attribution and low reviewer attribution are associated with low perceived misleadingness.

This study is novel because it examines the moderating effects of repeating purchase cues and product knowledge on the relationship between the consistency of the review set and causal attribution. It adds to the literature by shedding light on the causal attribution process underlying the formation of perceived misleadingness of online reviews. The findings of this study provide valuable insights for managers on how to enhance the positive effects of consistent review sets and mitigate the negative effects of inconsistent review sets.

This paper examines the relationship between entrepreneurs' internality of causal attributions and firm growth during an economic crisis. We propose a U-shaped relationship between the two variables, arguing that the highest-growth entrepreneurs are those with either the highest or lowest levels of internal attribution (IA) during such periods.

To test our hypothesis, we analyze a database of 804 interviews with entrepreneurs in Brazil during a period of economic stress. Due to the existence of endogeneity, we estimate a model of simultaneous equations in two stages.

We find evidence of a U-shaped relationship. This means that during economic stress, the fastest-growing entrepreneurs are those who rely more on their own effort (high IA) and those who attribute their success to the economic crisis (low IA).

Tailoring interventions based on attribution patterns and recognizing the U-shaped relationship ensures effective support during economic stress. Entrepreneurial support programs should align with internality levels, emphasizing external awareness or skill development accordingly. Policymakers should take attributions into account when promoting financial resilience. Entrepreneurs would benefit from awareness programs on attributions for reflective decision-making. Ecosystems should foster collaboration by recognizing diverse attributions, enhancing a collective understanding of entrepreneurial responses in crises.

Our results have important implications for understanding the role of entrepreneurs in economic crises. Our results are relevant because they challenge the usual claim that entrepreneurs with high IA are the ones who perform better in situations where external economic conditions are adverse.

Taking attribution theory as an overarching framework, the study aims to examine how employees attribute and respond to a colleague's approach crafting.

Two complementary studies, including a scenario experiment (Study 1; N = 114) and an online survey (Study 2; N = 220), were conducted to test the hypothesized model.

Study 1 found support for the attribution of a prosocial motive to approach crafting, which in turn led to more social support and less social undermining among observers. This mediation was stronger when the job crafter was perceived as less other-oriented. Study 2 replicated the findings of Study 1 and further showed that when observers attributed both high impression management and prosocial motives to approach crafting, the positive relationship between their prosocial motive attribution and social support for the job crafter got weakened, while the negative relationship between their prosocial motive attribution and social undermining of the job crafter was strengthened.

The findings demonstrate that approach crafting gives rise to specific attributions and reactions toward the job crafter, which enrich the understanding of the social consequences of job crafting in the workplace.

This study aims to highlight the importance of using attribution theory in metaverse tourism research. The study addresses the lack of clarity regarding the attribution theory’s dimensions (locus, stability, controllability) potential application in the metaverse tourism context.

This study uses a comprehensive exploration of the research gap by searching top-tier journals in Scopus and Web of Science databases about the relevant literature to analyze relevant data to provide a foundation for future transformative research. The study examines the relationship between attribution theory and metaverse tourism and explores how attribution theory can inform the understanding of tourists’ judgments and actions in the metaverse context.

The study shows that attribution theory has the potential to significantly improve the understanding of metaverse tourism by illuminating tourists’ decision-making processes and the factors contributing to those decisions. The study highlights the importance of applying attribution theory to generate more impactful and reliable implications for the tourism industry.

This study is transformative because it provides a foundational understanding of the application of attribution theory in metaverse tourism research. The study is significant because it sheds light on an underexplored area where the theoretical framework is necessary to inform and guide tourism technology research. The study’s originality lies in its contribution to tourism by identifying room for improvement in metaverse tourism research and highlighting the potential benefits of using attribution theory.

本研究通过在Scopus和Web of Science数据库中搜索相关文献的顶级期刊, 对研究空白进行了全面探索, 以分析相关数据, 为未来的变革性研究提供基础。本研究考察了归因理论与元宇宙旅游之间的关系, 并探讨了归因理论如何在元宇宙背景下为理解游客的判断和行为提供信息。

本研究强调了归因理论在元宇宙旅游研究中的重要性。该研究解决了归因理论在元宇宙旅游背景下的潜在应用维度（轨迹、稳定性、可控性）缺乏明确性的问题。

研究表明, 归因理论有可能通过阐明游客的决策过程和促成这些决策的因素, 显著提高对元宇宙旅游的理解。该研究强调了应用归因理论对旅游业产生更具影响力和可靠性的影响的重要性。

本研究具有变革性, 因为它为归因理论在元宇宙旅游研究中的应用提供了基础性的理解。这项研究意义重大, 因为它揭示了一个研究不足的领域。在此领域, 理论框架是为旅游技术研究提供信息和指导所必需的。本研究的独创性在于它对旅游业的贡献, 它确定了元宇宙旅游研究的改进空间, 并强调了利用归因理论的潜在好处。

Este estudio se basa en una exploración exhaustiva de la brecha de investigación mediante la búsqueda de revistas de primer nivel en las bases de datos Scopus y Web of Science sobre la literatura relevante para analizar los datos relevantes con el fin de proporcionar una base para futuras investigaciones transformadoras. El estudio examina la relación entre la teoría de la atribución y el metaverso turístico y explora cómo la teoría de la atribución puede facilitar la comprensión de las evaluaciones y acciones de los turistas en el contexto metaverso.

Este estudio pone de relieve la importancia de utilizar la teoría de la atribución en la investigación turística en metaverso. El estudio aborda la falta de claridad sobre las dimensiones de la teoría de la atribución (lugar de causalidad, estabilidad y, controlabilidad) y su posible aplicación en el contexto del turismo en metaverso.

El estudio muestra que la teoría de la atribución tiene el potencial de mejorar de forma significativa la comprensión del metaverso turístico al esclarecer los procesos de toma de decisiones de los turistas y los factores que contribuyen a dichas decisiones. El estudio destaca la importancia de aplicar la teoría de la atribución para generar implicaciones más impactantes y fiables para la industria turística.

Este estudio es transformador porque proporciona una comprensión fundacional de la aplicación de la teoría de la atribución en la investigación del metaverso turístico. El estudio es significativo porque arroja luz sobre un ámbito poco explorado cuyo marco teórico es necesario para informar y orientar la investigación sobre tecnología turística. La originalidad del estudio radica en su contribución al turismo al identificar las posibilidades de mejora en la investigación del metaverso turístico y destacar los beneficios potenciales de la utilización de la teoría de la atribución.

Although prior research has documented substantive knowledge of the benefits of high-performance work systems (HPWS), results regarding both sides of HPWS are inconsistent. To reconcile these inconsistencies, the authors identified two specific HR attributions—employee well-being HR attribution and performance HR attribution, and examined their roles in the relationship between team-level HPWS and employees' thriving at work and emotional exhaustion.

The authors collected multi-source data from 36 team leaders and 181 individuals. Given the nested nature of the data, the authors used Mplus 7.4 to conduct multilevel structural equation modeling for hypothesis testing.

The results showed that team-level HPWS and employee well-being HR attribution interact to affect psychological availability, which subsequently promotes thriving at work. However, team-level HPWS and employee performance HR attribution do not interact to influence role overload/psychological availability; team-level HPWS and employee well-being HR attribution do not interact to affect role overload.

Current literature has overlooked identifying key contingencies for both sides of HPWS effects on employee outcomes. Therefore, this study developed a mediated moderation model and incorporated HR attributions to explore two distinct pathways by which HPWS affects employees' thriving at work and emotional exhaustion. The present study helps to reconcile the inconsistent findings regarding the HPWS double-edged sword nature. In addition, the authors focused on HPWS at the team level, which is also underexplored in the existing HPWS research.

This study examines the interplay between media-induced emotional crisis framing (anger vs sadness) and message sidedness of crisis response on publics’ attribution of crisis responsibility as well as subsequent company evaluation and supportive behavioral intention.

A 2 (emotion: anger vs sadness) x 2 (crisis response: one-sided vs two-sided) online experiment was conducted among 161 participants in the USA.

Results showed that anger-inducing media framing of the crisis elicited higher levels of crisis responsibility attribution and more negative company evaluation, compared with sadness-inducing media framing. One-sided message response was more effective than two-sided message response in lowering attribution of crisis responsibility when sadness was induced, but no difference was found under the anger-induced condition. Attribution of crisis responsibility fully mediated the effects of emotional crisis framing on company evaluation and supportive behavioral intention toward the company.

This study is among the first to examine the interaction effect between emotional media framing and response message sidedness in an ambiguous crisis. Drawing on the interdisciplinary theoretical frameworks, this study integrates the situational crisis communication theory, appraisal-tendency framework and message sidedness in persuasion literature. As such, it contributes to theoretical development in crisis communication and offers communication managers guidance on how to effectively address emotionally framed crises.

High-performance work system (HPWS) is considered a solid predictor of both organizational and individual outcomes. The current study examines the impact of employees' perception of HPWS and supervisor-rated employee creativity (EC). Critical reflection is hypothesized as a mediator of the above relationship. Human resource management (HRM) attribution moderates the indirect relationship between HPWS and EC and completes a moderated mediation model.

A quantitative research design is adopted with data collected from 531 employees and their direct supervisors from 12 firms in Vietnam. Partial least square structural equation modelling is used to test the hypotheses.

Employees' perception of HPWS is significantly associated with supervisor-rated creativity. Critical reflection has been found to partially mediate the above relationship. In addition, employees' exploiting attribution of HPWS intensifies the positive relationship between HPWS and critical reflection.

The research suggests that HPWS can be viewed from both the bright and dark sides. The resource offered by HPWS goes hand in hand with pressure from high-performance expectations. Employees may need to engage in a resource investment decision to avoid net resource loss. In addition, attention should be paid to employees' perception of the justification for HPWS implementation.

This study offers an alternative way to explain the association between HPWS and employee creativity. Based on the Conservation of Resource Theory, employee creativity is viewed as a stress coping strategy with HPWS conceptualized as a stressor. In addition, the mediating role of critical reflection represents a novelty. Furthermore, the role of HRM attributions is explained.

By far, the corpus for the quotation extraction and quotation attribution tasks in Indonesian is still limited in quantity and depth. This study aims to develop an Indonesian corpus of public figure statements attributions and a baseline model for attribution extraction, so it will contribute to fostering research in information extraction for the Indonesian language.

The methodology is divided into corpus development and extraction model development. During corpus development, data were collected and annotated. The development of the extraction model entails feature extraction, the definition of the model architecture, parameter selection and configuration, model training and evaluation, as well as model selection.

The Indonesian corpus of public figure statements attribution achieved 90.06% agreement level between the annotator and experts and could serve as a gold standard corpus. Furthermore, the baseline model predicted most labels and achieved 82.026% F-score.

To the best of the authors’ knowledge, the resulting corpus is the first corpus for attribution of public figures’ statements in the Indonesian language, which makes it a significant step for research on attribution extraction in the language. The resulting corpus and the baseline model can be used as a benchmark for further research. Other researchers could follow the methods presented in this paper to develop a new corpus and baseline model for other languages.