Carla R. Payne and Cornel J. Reinhart
This paper aims to explore the question: how well do course management systems (CMS) support constructivist pedagogy; how well do they support conversation?
Abstract
Purpose
This paper aims to explore the question: how well do course management systems (CMS) support constructivist pedagogy; how well do they support conversation?
Design/methodology/approach
This article reviews the basic pedagogical orientation of CMS as recently represented by analysts and proponents, while offering an analysis of the implications of these theoretical positions for learner activity within CMS. It compares CMS structural design for its capacity to support collaborative learning against inherent tendencies to fragmentation, individualization and learner isolation. Sampling a widely adopted CMS in use, the article analyzes how well CMSs fulfill the specifications for a progressive, collaborative, learner‐centered environment.
Findings
Despite protestations to the contrary, this paper finds that the imperatives to manage discussions and count participation supersede pedagogy in most online courses. Curiously, despite the reemergence of the ideas of John Dewey and Lev Vygotsky, the CMS is more behaviorist than constructivist.
Originality/value
As a comprehensive and systematic consideration of the application of constructivist principles to course management systems at the tertiary level, this paper offers guidance to university administrators, faculty members and others involved in the educational process. The author's conclude that if the underlying, non‐neutral, behaviorist principles of the emerging CMS model are subjected to educators' analysis and thoughtful debate, perhaps it's not too late to build learning architecture that encourages student interaction and conversations; that cedes greater control to learners for integrated participation and constructed learning.
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Estefania Ballester, Carla Ruiz and Natalia Rubio
The purpose of this paper is to analyse the impact of consumers’ perceptions of the enjoyment and originality of firm-generated content (FGC) posted on Instagram on affective…
Abstract
Purpose
The purpose of this paper is to analyse the impact of consumers’ perceptions of the enjoyment and originality of firm-generated content (FGC) posted on Instagram on affective customer engagement (CE). In addition, an examination is undertaken of affective CE as a driver of customer behaviour.
Design/methodology/approach
The paper takes a quantitative approach using a sample of 334 women followers of an eco-friendly restaurant Instagram account. After validation of the measurement scales, the hypotheses were tested through structural equation modelling. Drawing on the stimuli-organism-response framework the authors posit that consumers’ perceptions of the enjoyment and originality of Instagram posts generate affective CE, which, in turn, influences customer behaviour.
Findings
The results showed that the perceived enjoyment and perceived originality of Instagram posts generated by an eco-friendly restaurant have a positive influence on affective CE, which, in turn, affects consumers’ recommendation behaviours, intention to follow the restaurant’s advice on Instagram and intention to revisit the restaurant.
Originality/value
This research provides novel insights into how the perceived enjoyment and originality of FGC posted on Instagram increases women’s affective engagement and expands knowledge of how affective CE might increase positive electronic word-of-mouth, intention to follow the restaurant’s advice and repurchase intentions.
Propósito
El objetivo de este trabajo es analizar el impacto de las percepciones de los consumidores sobre el disfrute y la originalidad del contenido generado por la empresa (CGE) publicado en Instagram en el engagement afectivo del cliente. Además, se examina el engagement afectivo del cliente como impulsor de su comportamiento.
Diseño/metodología/enfoque
El artículo adopta un enfoque cuantitativo utilizando una muestra de 334 mujeres seguidoras de la cuenta de Instagram de un restaurante ecológico. Tras la validación de las escalas de medición, las hipótesis se testaron mediante un modelo de ecuaciones estructurales. Basándonos en el marco S-O-R, se postula que las percepciones de los consumidores sobre el disfrute y la originalidad de las publicaciones de Instagram generan un engagement afectivo del cliente que, a su vez, influye en su comportamiento.
Hallazgos
Los resultados mostraron que la percepción de disfrute y la percepción de originalidad de las publicaciones de Instagram generadas por un restaurante ecológico tienen una influencia positiva en el engagement afectivo del cliente, que, a su vez, afecta a los comportamientos de recomendación de los consumidores, la intención de seguir los consejos del restaurante en Instagram y la intención de volver a visitar el restaurante.
Originalidad/valor
Esta investigación proporciona una visión novedosa sobre cómo la percepción del disfrute y la originalidad de los CGE publicados en Instagram aumenta el engagement afectivo de las mujeres, y amplía el conocimiento sobre cómo el engagement afectivo de los clientes podría aumentar la comunicación boca-oído electrónica (eCBO) positiva, la intención de seguir los consejos del restaurante y las intenciones de recompra.
目的
本文旨在分析消费者对Instagram上发布的企业生成内容(FGC)的愉悦度和原创性的感知对情感性顾客契合的影响。此外, 本文还对作为顾客行为驱动因素之一的情感性顾客契合进行了研究。
设计/方法/途径
本文采用定量方法, 以一家生态友好餐厅的Instagram账户的334名女性粉丝为研究样本。在验证了测量量表有效性后, 通过结构方程模型对假设进行了检验。基于S-O-R框架, 我们认为消费者对Instagram帖子的愉悦度和原创性的感知会产生情感性的顾客契合, 进而影响顾客行为。
研究结果
研究结果显示, 消费者对生态友好餐厅在Instagram上所发帖子的愉悦度和原创性的感知对情感性顾客参与有正向影响, 而情感性顾客契合进而影响消费者在Instagram上的推荐行为、采纳餐厅建议的意愿和重访该餐厅的意愿。
原创性/价值
这项研究对Instagram上发布的FGC的愉悦度和原创性消费者感知如何增加女性的情感契合提供了新的见解, 并扩展了关于情感性顾客契合如何增加积极的电子口碑、采纳餐厅建议的意愿和再次购买意愿的知识。
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Cristina I.M.A.S. Fernandes, João J.M Ferreira, Carla Azevedo Lobo and Mario Raposo
A key point in the internationalisation process of companies comes with the choice of international market. Following this choice, the results companies may thereby obtain help in…
Abstract
Purpose
A key point in the internationalisation process of companies comes with the choice of international market. Following this choice, the results companies may thereby obtain help in measuring their level of international performance. This study aims to measure the impact of internationalisation processes in keeping with company market orientations (MOs) through measuring their effect on international performance.
Design/methodology/approach
The authors obtained the data from a questionnaire sent out by email to a total of 8,103 exporting companies and/or with interests in exporting (the study population) registered in the AICEP-Portugal Global database that provided the email addresses of the company representatives responsible for internationalisation. The authors received a total of 320 valid responses (sample).
Findings
The results display a positive MO effect both on internationalisation processes and on international performance. The authors also note the importance of studying the influence of strategic orientations on internationalization processes, motivated by the particular SME’s characteristics.
Originality/value
The authors aim to contribute to the study of the influence of the MO, both upstream and downstream, thus seeking to verify its impact on internationalization processes.
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Carla Ramos, Adriana Bruscato Bortoluzzo and Danny P. Claro
This study aims to capture how the association between a multichannel relational communication strategy (MRCS) and customer performance is contingent upon such customer…
Abstract
Purpose
This study aims to capture how the association between a multichannel relational communication strategy (MRCS) and customer performance is contingent upon such customer performance (low- versus high-performance customers) and to reconcile past contradictory results in this marketing-related topic. To this end, the authors propose and validate the method of quantile regression as an unconventional, yet effective, means to proceed to that reconciliation.
Design/methodology/approach
This study collected data from 4,934 customers of a private pension fund firm and accounted for both firm- and customer-initiated relational communication channels (RCCs) and for customer lifetime value (CLV). This study estimated a generalized linear model and then a quantile regression model was used to account for customer performance heterogeneity.
Findings
This study finds that specific RCCs present different levels of association with performance for low- versus high-performance customers, where outcome customer performance is the dependent variable. For example, the relation between firm-initiated communication (FIC) and performance is stronger for low-CLV customers, whereas the relation between customer-initiated communication (CIC) and performance is increasingly stronger for high-CLV customers but not for low-CLV ones. This study also finds that combining different forms of FIC can result in a negative association with customer performance, especially for low-CLV customers.
Research limitations/implications
The authors tested the conceptual model in one single firm in the specific context of financial services and with cross-sectional data, so there should be caution when extrapolating this study’s findings.
Practical implications
This study offers nuanced and precise managerial insights on recommended resource allocation along with relational communication efforts, showing how managers can benefit from adopting a differentiated-customer performance approach when designing their MRCS.
Originality/value
This study provides an overview of the state of the art of MRCS, proposes a contingency analysis of the relationship between MRCS and performance based on customer performance heterogeneity and suggests the quantile method to perform such analysis and help reconcile past contradictory findings. This study shows how the association between RCCs and CLV varies across the conditional quantiles of the distribution of customer performance. This study also addresses a recent call for a more holistic perspective on the relationships between independent and dependent variables.
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Migena Proi, Carla Di Mattia, Giampiero Sacchetti, Natalia Battista, Silvia Cozzolino, Pierluigi Nucci, Mauro Serafini and Maria Angela Perito
This study investigates the relationship between the hedonic pleasure of trying new food and emotional responses to insect-based bakery products.
Abstract
Purpose
This study investigates the relationship between the hedonic pleasure of trying new food and emotional responses to insect-based bakery products.
Design/methodology/approach
A laboratory tasting was conducted with 131 Italian high school students in the province of Teramo (Italy). Participants completed a questionnaire to assess their general hedonic liking of new food and ranked the intensity of negative and positive emotions after tasting the food products.
Findings
The findings show that general hedonic liking of new food significantly influences both negative and positive emotions. In the case of negative emotions, individuals who declared to like trying new food were more likely to experience lower levels of disgust, fearful, worry and distrustful. Meanwhile, in the case of positive emotions, individuals who liked trying new food had a greater probability of feeling higher levels of calm, energy, enthusiasm and contentment. We further found that women were more likely to experience negative emotions (i.e. disgust, fearful and worry) to a higher extent than men.
Practical implications
The results add useful information about food and marketing research by showing which emotions should be encouraged or avoided in the case of consumers with different degrees of liking new food.
Originality/value
This study is the first to assess how hedonic liking impacts emotions in the case of an insect-based food.
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Arthur Larocca, Milton Borsato, Pablo Kubo and Carla Estorilio
Although organizations have more data than ever at their disposal, actually deriving meaningful insights and actions from them is easier said than done. In this concern, the main…
Abstract
Purpose
Although organizations have more data than ever at their disposal, actually deriving meaningful insights and actions from them is easier said than done. In this concern, the main objective of this study is to identify trends and research opportunities regarding data management within new product development (NPD) and collaborative engineering.
Design/methodology/approach
Bibliometric and systemic analyses have been carried out using the methodological procedure ProKnow-C, which provides a structured framework for the literature review. A bibliographic portfolio (BP) was consolidated with 33 papers that represent the state of art in the subject.
Findings
Most recent researches within the BP indicate new trends and paradigm shifts in this area of research, tackling subjects such as the internet of things, cloud computing, big data analytics and digital twin. Research gaps include the lack of data automation and the absence of a common architecture for systems integration. However, from a general perspective of the BP, the management of experimental data is suggested as a research opportunity for future works. Although many studies have tackled data and collaboration based on computer-aided technologies environments, no study examined the management of the measured data collected during the verification and validation stages of a product.
Originality/value
This work provides a fresh and relevant source of authors, journals and studies for researchers and practitioners interested in the domain of data management applied to NPD and collaborative engineering.
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The announcement of their Annual Conference which has been made by the Library Association gives promise of a meeting of quite unusual interest and value. The programme has been…
Abstract
The announcement of their Annual Conference which has been made by the Library Association gives promise of a meeting of quite unusual interest and value. The programme has been shorn of unnecessary redundancies and every subject upon it should lead to fruitful discussion. The only point in connection with the programme which appears to demand consideration is whether in all cases the papers should be read. There are several objections. Such papers occupy a lot of time, are not sufficiently dramatic to be interesting in themselves, however valuable the subject matter may be, and too often it must be confessed they are read in a manner which induces somnolence rather than energetic discussion. It is the exchange of opinion across the floor that matters at a Conference, We hope, therefore, that in certain cases the method of taking papers as read and requiring their writers to speak to them briefly may be followed.
Aakanksha Uppal, Yashmita Awasthi and Anubha Srivastava
This study focuses on enhancing the accuracy and efficiency of employee performance prediction to enhance decision making and improve organisational productivity. By introducing…
Abstract
Purpose
This study focuses on enhancing the accuracy and efficiency of employee performance prediction to enhance decision making and improve organisational productivity. By introducing advance machine learning (ML) techniques, this study aims to create a more reliable and data-driven approach to evaluate employee performance.
Design/methodology/approach
In this study, nine machine learning (ML) models were used for forecasting employee performance: Random Forest, AdaBoost, CatBoost, LGB Classifier, SVM, KNN, XGBoost, Decision Tree and one Hybrid model (SVM + XGBoost). Each ML model is trained on an HR data set covering various features such as employee demographics, job-related factors and past performance records, ensuring reliable performance predictions. Feature scaling techniques, namely, min-max scaling, Standard Scaler and PCA, have been used to enhance the effectiveness of employee performance prediction. The models are trained to classify data, predicting whether an employee’s performance meets expectations or needs improvement.
Findings
All proposed models used in the study can correctly categorize data with an average accuracy of 94%. Notably, the Random Forest model demonstrates the highest accuracy across all three scaling techniques, achieving optimise accuracy, respectively. The results presented have significant implications for HR procedures, providing businesses with the opportunity to make data-driven decisions, improve personnel management and foster a more effective and productive workforce.
Research limitations/implications
The scope of the used data set limits the study, despite our models delivering high accuracy. Further research could extend to different data sets or more diverse organisational settings to validate the model’s effectiveness across various contexts.
Practical implications
The proposed ML models in the study provide essential tools for HR departments, enabling them to make more informed data driven decisions with regard to employee performance. This approach can enhance personnel management, improve workforce productivity and fostering a more effective organisational environment.
Social implications
Although AI models have shown promising outcomes, it is crucial to recognise the constraints and difficulties involved in their use. To ensure the fair and responsible use of AI in employee performance prediction, ethical considerations, privacy problems and any biases in the data should be properly addressed. Future work will be required to improve and broaden the capabilities of AI models in predicting employee performance.
Originality/value
This study introduces an exclusive combination of ML models for accurately predicting employee performance. By employing these advanced techniques, the study offers novel insight into how organisations might transition from a conventional evaluation method to a more advanced and objective, data-backed approach.
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Álvaro Iranzo Barreira, Ines Kuster and Carla Ruiz Mafe
The aims of this study are to analyse the impact of brand-centric relationships (individual and collective) and negative emotions on brand hate felt towards brands used in extreme…
Abstract
Purpose
The aims of this study are to analyse the impact of brand-centric relationships (individual and collective) and negative emotions on brand hate felt towards brands used in extreme sports and to assess whether brand hate is a driver of negative consumer behavioural intentions.
Design/methodology/approach
This study takes a quantitative approach, using a sample of 300 Spain-based users of snow-sports brands. After validating the measurement scales, the hypotheses were tested through structural equation modelling. Drawing on the cognitive perspective of emotions and the triangular theory of hate, this study posits that individual and collective consumer-brand relationships evoke inward negative emotions and brand hate, thus influencing brand avoidance, brand switching and negative word-of-mouth.
Findings
The results showed that collective and individual consumer-brand relationships (negative brand experience, consumer-based brand equity and symbolic incongruence) impact inward negative emotions towards snow-sports brands. Inward negative emotions directly influence brand hate, which in turn affects consumers’ intention to avoid brands, switch brands and engage in negative word-of-mouth.
Originality/value
This research provides novel insights into how individual and collective brand-centric relationships evoke inward negative emotions towards extreme sports’ brands, which in turn increases brand hate, and expands knowledge of how brand hate might increase the consumer’s intentions to avoid the brand, intention to switch brands and intention to engage in negative word-of-mouth.