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The study employs two independent experimental studies to collect data. It focuses on the matching effect between advertising appeals and product types. The Elaboration Likelihood Model serves as the theoretical framework for understanding the cognitive processing involved in consumers' responses to these advertising appeals and product combinations.

This paper aims to investigate the impact of advertising appeals on consumers' intentions to purchase organic food. We explored the interaction between advertising appeals (egoistic vs altruistic) and product types (virtue vs vice) and purchase intention. The goal is to provide insights that can enhance the advertising effectiveness of organic food manufacturers and retailers.

The analysis reveals significant effects on consumers' purchase intentions based on the matching of advertising appeals with product types. Specifically, when egoistic appeals align with virtuous products, there is an improvement in consumers' purchase intentions. When altruistic appeals match vice products, a positive impact on purchase intention is observed. The results suggest that the matching of advertising appeals with product types enhances processing fluency, contributing to increased purchase intention.

This research contributes to the field by providing nuanced insights into the interplay between advertising appeals and product types within the context of organic food. The findings highlight the importance of considering the synergy between egoistic appeals and virtuous products, as well as altruistic appeals and vice products. This understanding can be strategically employed by organic food manufacturers and retailers to optimize their advertising strategies, thereby improving their overall effectiveness in influencing consumers' purchase intentions.

Implementations of inter-organizational networks are common, following a growing diversity of cooperative modes between the independent companies associated in these networks.

Their scientific analysis has recently intensified, attention to network structures obviously including the study of the way their performance can be measured. Although academic research has mostly dealt with the performance of the network’s members, the concern of this article is rather with the performance of the global network.

Among the numerous forms of existing inter-organizational networks, maritime port communities are complex organizations which have to deal with operational synchronization, strategic cohesiveness and global performance measurement problems.

This article therefore mainly describes a port performance measurement system (PPMS): built in a predominantly empirical research context, the performance model and the associated measurement indicators illustrate the kind of network-level dedicated, performance control systems, on which port communities need to rely when designing their global strategy.

Monocytes are a leukocytes’ subset that plays an important role in immunity. Protein kinase B (AKT) is involved in monocytes' survival, proliferation and differentiation. Using phorbol 12-myristate 13-acetate (PMA) as an inducer for cell line U937 differentiation into macrophage-like cells may be used as a model for cancer cell therapy or other biomedical research studies. The authors investigated the Akt1 signaling pathway's involvement with PMA as a differentiating agent and survival in the U937 cell line.

PMA was utilized to stimulate the differentiation of the U937 cell line into macrophage-like cells at a concentration of 10 nM. Akt1-phosphorylated Serine 473, Bad-phosphorylated Serine 136 and Caspase9-phosphorylated Serine 196 were tested by flow cytometry for the involvement of the Akt1 signaling pathway during differentiation in addition to the expression of CD14, CD206 and CD83. DNA cell cycle variation analysis was done using PI staining and cell viability and apoptosis detection using Annexin V and PI flow cytometry.

There was a decrease in phosphorylated Akt1 and Bad activation and an increase in Caspase9 activation, with an increase in surface markers CD14, CD206 and CD83 acquired by PMA-differentiated cells. DNA cell cycle analysis revealed cell accumulation in the G2/M phase and fewer cells in the S phase of PMA-induced U937. Apoptosis induction for Ly294002 or Wortmannin-inhibited cells and part of PMA-induced cells were detected.

These results may be used to create a model for biomedical research studies and advance the understanding of the mechanism involving differentiation of the U937 cell line.

How does the human brain absorb information and turn it into skills of its own in psychotherapy? In an attempt to answer this question, the authors will review the intricacies of processing channels in psychotherapy and propose the term transprocessing (as in transduction and processing combined) for the underlying mechanisms. Through transprocessing the brain processes multimodal memories and creates reparative solutions in the course of psychotherapy. Transprocessing is proposed as a stage-sequenced mechanism of deconstruction of engrained patterns of response. Through psychotherapy, emotional-cognitive reintegration and its consolidation is accomplished. This process is mediated by cellular and neural plasticity changes.

Prediction is a critical task in targeted online advertising, where predictions better than random guessing can translate to real economic return. This study aims to use machine learning (ML) methods to identify individuals who respond well to certain linguistic styles/persuasion techniques based on Aristotle’s means of persuasion, rhetorical devices, cognitive theories and Cialdini’s principles, given their psychometric profile.

A total of 1,022 individuals took part in the survey; participants were asked to fill out the ten item personality measure questionnaire to capture personality traits and the dysfunctional attitude scale (DAS) to measure dysfunctional beliefs and cognitive vulnerabilities. ML classification models using participant profiling information as input were developed to predict the extent to which an individual was influenced by statements that contained different linguistic styles/persuasion techniques. Several ML algorithms were used including support vector machine, LightGBM and Auto-Sklearn to predict the effect of each technique given each individual’s profile (personality, belief system and demographic data).

The findings highlight the importance of incorporating emotion-based variables as model input in predicting the influence of textual statements with embedded persuasion techniques. Across all investigated models, the influence effect could be predicted with an accuracy ranging 53%–70%, indicating the importance of testing multiple ML algorithms in the development of a persuasive communication (PC) system. The classification ability of models was highest when predicting the response to statements using rhetorical devices and flattery persuasion techniques. Contrastingly, techniques such as authority or social proof were less predictable. Adding DAS scale features improved model performance, suggesting they may be important in modelling persuasion.

In this study, the survey was limited to English-speaking countries and largely Western society values. More work is needed to ascertain the efficacy of models for other populations, cultures and languages. Most PC efforts are targeted at groups such as users, clients, shoppers and voters with this study in the communication context of education – further research is required to explore the capability of predictive ML models in other contexts. Finally, long self-reported psychological questionnaires may not be suitable for real-world deployment and could be subject to bias, thus a simpler method needs to be devised to gather user profile data such as using a subset of the most predictive features.

The findings of this study indicate that leveraging richer profiling data in conjunction with ML approaches may assist in the development of enhanced persuasive systems. There are many applications such as online apps, digital advertising, recommendation systems, chatbots and e-commerce platforms which can benefit from integrating persuasion communication systems that tailor messaging to the individual – potentially translating into higher economic returns.

This study integrates sets of features that have heretofore not been used together in developing ML-based predictive models of PC. DAS scale data, which relate to dysfunctional beliefs and cognitive vulnerabilities, were assessed for their importance in identifying effective persuasion techniques. Additionally, the work compares a range of persuasion techniques that thus far have only been studied separately. This study also demonstrates the application of various ML methods in predicting the influence of linguistic styles/persuasion techniques within textual statements and show that a robust methodology comparing a range of ML algorithms is important in the discovery of a performant model.

This study aims to facilitate consistency of information in building information modelling (BIM) and address the current BIM gaps through the perspectives of the productization concept and product structure (PS).

The study follows a conceptual research approach in conjunction with a single case study. First, the previous studies on BIM implementation, productization and PS are reviewed. Further, a case study is used to analyse the current state of productization in the construction sector and develop a functional PS for construction.

A Part-Phase-Elements Matrix is proposed as a construction-specific PS to facilitate consistency in information and to enhance BIM. The proposed matrix provides new avenues to facilitate consistent information exchange through the interconnection between conceptual PS and standard building objects library, and encourage collaborative communication between stakeholders.

This study explores the core of the productization concept and PS as means to facilitate consistency of information and thus address the current gaps in BIM. This as building projects progressively move towards systematic modular and prefabricated construction where the flow of reliable information about product and construction offerings becomes increasingly important.

This paper aims to draw on the appraisal theory and the theory of self-brand congruence (SBC) to study the multidimensional emotion of brand pride. It conceptualizes and validates the relationship of brand pride with SBC, brand loyalty and oppositional brand loyalty and establishes the role of narcissism as a moderator.

Standardized scales, including a new brand pride scale developed by the authors, were used to collect data from 522 respondents. Covariance-based structural equation modeling was used to test the conceptual model. Multi-group moderation analysis tested the differences in the proposed relationship between high and low narcissists.

Results posit brand pride as a multidimensional construct with SBC as its significant antecedent. The findings also support most hypothesized relationships between brand pride and behavioral outcomes. In addition, the study confirms the moderating effect of narcissism on the relationship between brand pride dimensions and brand loyalty and opposition brand loyalty.

The study sample was from a developing nation – India. Similar cohorts from developing and developed countries could provide a unique cross-nation comparison.

The role of brand pride in impacting brand loyalty and oppositional brand loyalty has significant implications for practice. Marketing communication to inculcate brand pride among consumers will significantly impact the brand’s profitability.

Validation of SBC as a precursor to brand pride and the relationship of brand pride with brand loyalty and oppositional brand loyalty contributes significantly to branding theory and practice. This study also establishes narcissism as a moderator between brand pride and loyalty outcomes.

Este artículo se basa en la teoría de la valoración y la teoría de la congruencia de la marca propia para estudiar la emoción multidimensional del orgullo de marca. Conceptualiza y valida la relación del orgullo de marca con la congruencia de marca propia, la lealtad de marca y la lealtad de marca oposicional, y establece el papel del narcisismo como moderador.

Se utilizaron escalas estandarizadas, incluida una nueva escala de orgullo de marca desarrollada por los autores, para recoger datos de 522 encuestados. Para probar el modelo conceptual se tudio un modelo de ecuaciones estructurales basado en la covarianza. El análisis de moderación multigrupo probó las diferencias en la relación propuesta entre narcisistas altos y bajos.

Los resultados tudioes el orgullo de marca como un constructo multidimensional con congruencia de marca propia como su antecedente significativo. Los resultados también apoyan la mayoría de las relaciones hipotetizadas entre el orgullo de marca y los resultados conductuales. Además, el tudio confirma el efecto moderador del narcisismo en la relación entre las dimensiones del orgullo de marca y la lealtad a la marca y la oposición a la lealtad a la marca.

La muestra del tudio procedía de un país en vías de tudioes: la India. Cohortes similares de países en tudioes y desarrollados podrían proporcionar una comparación única entre naciones.

El papel del orgullo de marca en el impacto de la lealtad de marca y la lealtad de marca opuesta tiene implicaciones significativas para la práctica. La comunicación de marketing para inculcar el orgullo de marca entre los consumidores tendrá un impacto significativo en la rentabilidad de la marca.

La validación de la congruencia con la propia marca como precursora del orgullo de marca y la relación del orgullo de marca con la lealtad de marca y la lealtad de marca de oposición contribuyen significativamente a la teoría y la práctica del branding. El tudio también establece el narcisismo como moderador entre el orgullo de marca y los resultados de lealtad.

本文借鉴评价理论和自我品牌一致性理论, 研究品牌自豪感的多维度情感。它概念化并验证了品牌自豪感与自我品牌一致性、品牌忠诚度和反对性品牌忠诚度的关系, 并确定了自恋作为调节器的作用。

使用标准化的量表, 包括由作者开发的新的品牌自豪感量表, 从522名受访者那里收集数据。一个基于协方差的结构方程模型被用来检验概念模型。多组调节分析检验了高自恋者和低自恋者之间拟议关系的差异。

结果表明, 品牌自豪感是一个多维的建构, 自我品牌一致性是其重要的前因。结果也支持品牌自豪感和行为结果之间的大部分假设关系。此外, 该研究还证实了自恋对品牌自豪感维度与品牌忠诚度和反对品牌忠诚度之间关系的调节作用。

印度。发展中国家和发达国家的类似队列可以提供一个独特的跨国比较。

品牌自豪感对品牌忠诚度和反对品牌忠诚度的影响作用对实践有重大意义。在消费者中灌输品牌自豪感的营销传播将对品牌利润率产生重大影响。

自我品牌一致性作为品牌自豪感的前兆的验证, 以及品牌自豪感与品牌忠诚度和反对性品牌忠诚度的关系, 对品牌理论和实践有很大的贡献。该研究还确定了自恋是品牌自豪感和忠诚度结果之间的一个调节器。

The purpose of this study is to contribute with knowledge about how valid research data in biodiversity citizen science are produced through information practices and how notions of credibility and authority emerge from these practices.

Data were collected through an empirical, interview-based study of the information practices of 15 participants active in the vicinity of the Swedish biodiversity citizen science information system Artportalen. Interview transcripts were analysed abductively and qualitatively through a coding scheme by working back and forth between theory and data. Values of credibility, authority and validity of research data were unfolded through a practice-oriented perspective to library and information studies by utilising the theoretical lens of boundary objects.

Notions of credibility, authority and validity emerge through participant activities of transforming species observations to data, supplementing reports with objects of trust, augmenting identification through authority outreach and assessing credibility via peer monitoring. Credibility, authority and validity of research data are shown to be co-constructed in a distributed fashion by the participants and the information system.

The article extends knowledge about information practices in emerging, heterogeneous scholarly settings by focussing on the complex co-construction of credibility, authority and validity in relation to data production.