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1 – 3 of 3Quentin Grossetti, Cedric du Mouza, Nicolas Travers and Camelia Constantin
Social network platforms are considered today as a major communication mean. Their success leads to an unprecedented growth of user-generated content; therefore, finding…
Abstract
Purpose
Social network platforms are considered today as a major communication mean. Their success leads to an unprecedented growth of user-generated content; therefore, finding interesting content for a given user has become a major issue. Recommender systems allow these platforms to personalize individual experience and increase user engagement by filtering messages according to user interest and/or neighborhood. Recent research results show, however, that this content personalization might increase the echo chamber effect and create filter bubbles that restrain the diversity of opinions regarding the recommended content.
Design/methodology/approach
The purpose of this paper is to present a thorough study of communities on a large Twitter data set that quantifies the effect of recommender systems on users’ behavior by creating filter bubbles. The authors further propose their community-aware model (CAM) that counters the impact of different recommender systems on information consumption.
Findings
The authors propose their CAM that counters the impact of different recommender systems on information consumption. The study results show that filter bubbles effects concern up to 10% of users and the proposed model based on the similarities between communities enhance recommendations.
Originality/value
The authors proposed the CAM approach, which relies on similarities between communities to re-rank lists of recommendations to weaken the filter bubble effect for these users.
Details
Keywords
Sunil Tiwari, Patita Paban Mohanty, Imali N. Fernando, Ibrahim Cifci and Mahendra Babu Kuruva
This paper aims to investigate the specific tea tourism (TT) determinants. This paper uses the Porter’s Diamond model to critically examine how India and Sri Lanka gained a…
Abstract
Purpose
This paper aims to investigate the specific tea tourism (TT) determinants. This paper uses the Porter’s Diamond model to critically examine how India and Sri Lanka gained a competitive advantage in the international market.
Design/methodology/approach
A cross-country study was conducted in which TT destinations in both India and Sri Lanka were considered for study. TT stakeholder perspectives were assessed through the Porter Diamond model, whereas data collection was based on a structured questionnaire that adopted the conceptual model (refer to the questionnaire as annex 1).
Findings
This study revealed that each determinant of Porter’s Diamond model (i.e. Factor Conditions – FC, Demand Conditions – DC, Related and Supporting Industry – RSI, Firm Strategy, Structure and Rivalry – SSR, Government – GO and Situational Force – SF) is playing a significant role in TT and India has an edge on Sri Lanka as a TT destination over each determinant of Porter Diamond model.
Research limitations/implications
This study restricts its scope to the present TT stakeholders of India and Sri Lanka, comprising 6 latent variables and 31 indicators, offering opportunities for future research to tourists and local residents in TT using the same model variables, and indicators.
Practical implications
This study highlights the emerging TT destinations in India and Sri Lanka by sensitizing the competitiveness and comparativeness using Porter’s Diamond model through the partial least squares structural equation modeling.
Originality/value
This study reflects a unique way of exploring emerging TT destinations through Porter’s Diamond model, signifying the competitive advantage.
目的
为了研究茶旅游的具体决定因素, 本文采用波特钻石模型批判性地检验印度和斯里兰卡如何在国际市场上获得竞争优势。
设计/方法论/方法
以印度和斯里兰卡作为茶旅游目的地进行的一项跨国研究。基于一项结构化问卷(附件1)进行数据收集, 并通过波特钻石模型评估茶旅游利益相关者的观点。
发现
研究表明, 波特钻石模型的每个决定因素:因子条件(FC)、需求条件(DC)、相关和支持产业(RSI)、企业战略、结构和竞争(SSR)、政府(GO)和情境力量(SF)都在茶旅游中发挥着重要作用。作为茶旅游目的地, 印度比斯里兰卡在波特钻石模型的每个决定因素方面都更具有优势。
研究局限/启示
目前的研究范围仅限于印度和斯里兰卡目前的茶旅游利益相关者, 包括六个潜在变量和31个指标, 为未来研究茶旅游中游客和当地居民的未来研究使用相同的模型变量和指标提供了可能。
实践启示
本研究使用波特钻石模型和PLS-SEM模型来突出印度和斯里兰卡作为新兴茶旅游目的地的竞争力和可比性。
创意/价值
这项研究展现了一种通过波特钻石模型来探索新兴茶旅游目的地的独特方法, 表明了它的竞争优势。
Propósito
Para investigar los determinantes específicos del turismo del té, el documento actual emplea el modelo del Diamante de Porter, examinando de forma crítica, cómo India y Sri Lanka obtuvieron una ventaja competitiva en el mercado internacional.
Diseño/metodología/enfoque
Este estudio se llevó a cabo en dos destinos turísticos del té como India y Sri Lanka. Las perspectivas de las partes interesadas en el turismo del té se evaluaron a través del modelo del Diamante de Porter, mientras que la recopilación de datos se basó en un cuestionario estructurado, adaptado del modelo conceptual (consulte el cuestionario como anexo 1).
Conclusiones
El estudio reveló que cada determinante del modelo del Diamante de Porter; Las condiciones de los factores (FC), las condiciones de la demanda (DC), la industria relacionada y de apoyo (RSI), la estrategia, la estructura y la rivalidad de la empresa (SSR), el gobierno (GO) y la fuerza situacional (SF) están desempeñando un papel importante en el turismo del té e India tiene una ventaja sobre Sri Lanka como destino de turismo de té sobre cada determinante del modelo de Porter.
Limitaciones/implicaciones de la investigación
El estudio actual restringe su alcance a las partes interesadas en el turismo del té de la India y Sri Lanka, que comprende seis variables latentes y 31 indicadores, ofreciendo oportunidades para futuras investigaciones a los turistas y residentes locales en el turismo del té utilizando las mismas variables e indicadores del modelo.
Implicaciones prácticas
El presente estudio destaca los destinos emergentes del turismo del té en India y Sri Lanka, sensibilizando la competitividad y la comparabilidad, utilizando el modelo del diamante de Porter y el modelo PLS-SEM.
Originalidad/valor
Este estudio refleja una forma única de explorar los destinos emergentes del turismo del té a través del modelo de diamante de Porter, lo que significa la ventaja competitiva.
Details
Keywords
Letícia Fernandes Gomes, Sibelle Aparecida Madureira Costa, Arthur Rocha-Gomes, Amanda Escobar Teixeira, Alexandre Alves da Silva, Mayara Rodrigues Lessa, Nísia Andrade Villela Dessimoni-Pinto, Sergio Ricardo Stuckert Seixas and Tania Regina Riul
The purpose of this paper is to evaluate the pathological, biochemical and redox state parameters of liver tissue in Wistar rats treated from birth to adulthood (119 days) with…
Abstract
Purpose
The purpose of this paper is to evaluate the pathological, biochemical and redox state parameters of liver tissue in Wistar rats treated from birth to adulthood (119 days) with cafeteria diet.
Design/methodology/approach
During the lactation, 6 liters of Wistar rats (dam + 8 pups each) were fed one of two diets: control (CTRL; n = 3) or cafeteria (CAF; n = 3) diets and water ad libitum. After weaning, the males were placed in individual cages, receiving the same diet offered to their respective dams (CTRL or CAF; n = 18) until adulthood. The following parameters were evaluated: absolute and relative liver weight; blood, liver and feces biochemistry; liver histology; and redox state of the liver.
Findings
When assessing the relative and absolute organ weight, no significant differences were found between the groups. The Cafeteria group exhibited higher values of serum LDL-c (p = 0.008), VLDL-c (p = 0.03) and triglycerides (p = 0.01), as well as several micro and macrovacuoles of fat accumulation, higher hepatic lipid (p = 0.03) and cholesterol (p = 0.0001) levels regarding Control group. Cafeteria group showed greater expression of glutathione-s-transferase (p = 0.03) and superoxide dismutase (p = 0.005) enzymes compared to the control group. In the case of the markers of oxidative stress, there was no difference between the groups.
Originality/value
A simple and standardized cafeteria diet caused an accumulation of fatty acids in liver tissue, inducing a state of hepatic steatosis besides an increased expression of antioxidant enzymes.
Details