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This study aims to examine the moderated-mediation impact of consumer involvement and destination preference on travel intentions. Stimulus-Organism-Response (SOR) and elaboration likelihood model (ELM) guided the conceptual framework of this study.

Churchill’s (1979) guidelines instrumentalize the scientific development and validation of measurement scales for data collection. The authors used higher-order multivariate analyzes such as structural equation modeling (SEM) and the Hayes process model for evaluating the hypotheses. The study uses Bauer et al. (2006) method to assess the conditional indirect effects of Electronic word of mouth (eWOM) on travel intention through destination preference at varying levels of consumer involvement.

SOR and ELM model successfully explained the moderated-mediation effect of eWOM, consumer involvement and destination preference in influencing the travel intentions. Results broaden the applicability of SOR and ELM in tourism marketing. Results indicate that consumer involvement moderated the direct and indirect influence of eWOM on travel intention via destination preference, such that the eWOM influence in shaping travel intention is stronger for highly involved consumers.

The present study broadens the applicability of integrated SOR and ELM models to explain the moderated-mediation network between eWOM and travel intentions. Study findings offer new avenues to tourism marketers for the magnified effect of eWOM for promoting tourism. Tourism marketers may use customer journeys to build destination preference through organic information exchange with prospective travelers. Future researchers and practitioners can build prescriptive and predictive models based on altered levels of consumer involvement.

Present study pioneers in examining the interactive effect of moderated mediation network of consumer involvement and destination preference in shaping the travel intention. Grounded in SOR and ELM model, the present study is a trailblazer to offer the integrated moderated-mediation model between eWOM, destination preference, consumer involvement and travel intention.

电子口碑、目的地偏好和消费者参与 – 刺激-机体-响应 (SOR) 视角

本研究考察了消费者参与和目的地偏好对旅行意图的适度中介影响。刺激-有机体-响应 (SOR) 和精细化可能性模型 (ELM) 指导了本研究的概念框架。

Churchill (1979) 指南将科学发展和数据收集测量尺度的验证工具化。我们使用高阶多元分析, 如结构方程模型 (SEM) 和 Hayes 过程模型来评估假设。该研究使用 Bauer et al. (2006) 的方法来评估 eWOM 通过不同消费者参与水平的目的地偏好对旅行意愿的条件间接影响。

SOR 和 ELM 模型成功解释了 eWOM、消费者参与和目的地偏好在影响旅行意图方面的调节中介效应。结果拓宽了 SOR 和 ELM 在旅游营销中的适用性。结果表明, 消费者参与通过目的地偏好调节了 eWOM 对旅行意愿的直接和间接影响, 因此对于高度参与的消费者而言, eWOM 在塑造旅行意愿方面的影响更强。

本研究扩大了综合 SOR 和 ELM 模型的适用性, 以解释 eWOM 和旅行意图之间的调节中介网络。研究结果为旅游营销人员提供了新的途径, 以扩大电子口碑对促进旅游业的影响。旅游营销人员可以通过与潜在旅行者的有机信息交换, 利用客户旅程来建立目的地偏好。未来的研究人员和从业者可以根据消费者参与程度的变化建立规范和预测模型。

目前的研究先驱在检验消费者参与和目的地偏好的调节中介网络在塑造旅行意图方面的交互作用。本研究以 SOR 和 ELM 模型为基础, 是提供 eWOM、目的地偏好、消费者参与和旅行意图之间的综合调节中介模型的开拓者。

关键词 – 目的地偏好、eWOM、旅行意图、消费者参与度、SOR 模型、ELM 模型

eWOM, preferencia de destino y participación del consumidor: una lente de estímulo-organismo-respuesta (SOR)

Resumen

el presente estudio examina el impacto de la mediación moderada de la participación del consumidor y la preferencia de destino en las intenciones de viaje. Estímulo-Organismo-Respuesta (SOR) y Modelo de probabilidad de elaboración (ELM) guiaron el marco conceptual de este estudio.

las directrices de Churchill (1979) instrumentalizan el desarrollo científico y la validación de escalas de medición para la recopilación de datos. Usamos análisis multivariados de orden superior como el modelado de ecuaciones estructurales (SEM) y el modelo de proceso de Hayes para evaluar las hipótesis. El estudio utiliza el método de Bauer et al. (2006) para evaluar los efectos indirectos condicionales de eWOM sobre la intención de viaje a través de la preferencia de destino en diferentes niveles de participación del consumidor.

los modelos SOR y ELM explicaron con éxito el efecto de mediación moderada de eWOM, la participación del consumidor y la preferencia de destino para influir en las intenciones de viaje. Los resultados amplían la aplicabilidad de SOR y ELM en el marketing turístico. Los resultados indican que la participación de los consumidores moderó la influencia directa e indirecta de eWOM en la intención de viaje a través de la preferencia de destino, de modo que la influencia de eWOM en la configuración de la intención de viaje es más fuerte para los consumidores altamente involucrados.

el presente estudio amplía la aplicabilidad de los modelos integrados de SOR y ELM para explicar la red de mediación moderada entre eWOM y las intenciones de viaje. Los resultados del estudio ofrecen nuevas vías a los comercializadores del turismo para el efecto magnificado de eWOM para promover el turismo. Los especialistas en marketing de turismo pueden utilizar el recorrido del cliente para crear preferencias de destino a través del intercambio de información orgánica con posibles viajeros. Los futuros investigadores y profesionales pueden construir modelos prescriptivos y predictivos basados en el nivel alterado de participación del consumidor.

el presente estudio es pionero en examinar el efecto interactivo de la red de mediación moderada de la participación del consumidor y la preferencia de destino en la configuración de la intención de viaje. Basado en el modelo SOR y ELM, el presente estudio es un pionero en ofrecer el modelo integrado de mediación moderada entre eWOM, preferencia de destino, participación del consumidor e intención de viaje.

This paper aims to examine the impact of online reviews on behavioral intentions via perceived risk. Perceived risk is both analytical and emotional. Stimulus–organism–response (S–O–R) framework guided this study to explore the interaction between online reviews, perceived risk and behavioral intentions.

The conceptual model proposed in this research has been validated using confirmatory factor analysis (CFA) and structural equation modeling to assess the measurement model and the validity of the scale, based on primary responses collected from 473 travelers.

Findings of this study suggest the role of online consumer reviews in reducing the perceived risk associated with experience dominant services like tourism. Process model test proves the mediating role of perceived risk between online reviews and behavioral intentions. Results indicate the significance of online review in lowering the perceived risk leading to positive behavioral intentions.

Destination marketing organizations (DMOs) should understand the role of online reviews in effectively reducing risk and uncertainty, thereby influencing behavioral intentions.

This paper is unique in attempting to empirically examine the mediating role of perceived risk between online reviews and behavioral intentions. The study is a forerunner in using S–O–R framework to test the interaction between online review, perceived risk and behavioral intention.

There is a lack of research proving how electronic word-of-mouth (eWOM) is a valuable source of information in the hospitality industry for developing hotels' intellectual capital. To fill this gap, this study aims to examine hotel managers' decision-making processes regarding the acceptance and management of eWOM and its impact on the Italian hotel ecosystem.

This work takes advantage of the previous contributions to present a hotel's decision-making process model regarding structural capital. It includes eWOM as a context variable and changes implemented as a dependent variable in a comprehensive model. The structural equation modelling applies to a database obtained through a survey addressed to Italian hotel managers.

The results show that eWOM plays an essential role in managers' motivations to explain hotel changes implementation. The hotel leverages eWOM information and interaction through structural, relational and human capital to enhance products, services and strategies.

This work contributes to the extant literature by providing a comprehensive framework to explain the consequences of eWOM knowledge management from the intellectual capital view in the Italian hotel ecosystem.

For practitioners, this research demonstrates how hotel managers should accept and manage eWOM knowledge through intellectual capital to make determinant decisions that improve hotel performance.

There is a scarcity of research on modelling the acceptability and management of eWOM in the hotel ecosystem from practitioners' perspectives. This work is the first attempt to determine how eWOM knowledge management boosts hotel intellectual capital and improves service innovation and performance.

This study unravels an attempt to investigate the dynamic connectedness of agri-commodity (wheat) of Russia with 10 financial markets of wheat importing counties during the Russia–Ukraine invasion.

This study took the daily prices of Wheat FOB Black Sea Index (Russia) along with stock indices of 10 major wheat-importing nations of Russia and Ukraine. The time frame for this study ranges from February 24, 2022 to July 31, 2022. This time frame was selected since it fully examines all of the effects of the crisis. The conditional correlations and volatility spillovers of these indices are predicted using the DCC-GARCH model, Diebold and Yilmaz (2012) and Baruník and Křehlík (2018) models.

It is found that there is dynamic linkage of agri-commodity of with stock markets of Iraq, Pakistan and Tanzania in short run while stock markets of Egypt, Turkey, Bangladesh, Pakistan, Brazil and Iraq are spilled by agri-commodity in long run. In addition, it documents that there is large spillover in short run than medium and long run comparatively. This signifies that investors have more diversification opportunity in short run then long run contemplating to invest in these markets.

To the best of the authors’ understanding this is the first study to undertake the dynamic linkage of agri-commodity (wheat) of Russia with financial market of select importing counties during the Russia–Ukraine invasion.

The purpose of this study is to investigate the influence of mobile applications on investment decisions by retail investors in stocks and mutual funds. This study focuses on how mobile technologies are applied on mobile apps by retail investors for e-trading in emerging financial markets.

The study explored predictive relevance for the adoption behavior of retail investors under the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Further, goal contagion theory was applied to investigate the adoption behavior of investors towards e-trading. An adapted questionnaire was used to collect the date from April to June 2021 and data analysis was performed on 507 usable responses. The methodology adopted in this study is variance based partial least square structural equational modelling (PLS-SEM). Additionally, the study explains important and performing constructs based on the response of retail investors towards mobile app usage for investment decisions.

The study shows that effort expectancy, performance expectancy followed by perceived return were the primary determinants of behavioral intentions to use mobile applications by retail investors for e-trading. Further, habit of investors determined the adoption behavior of investors towards mobile apps. Additionally, the study revealed that perceived risk is not an important aspect for retail investors in comparison to perceived return.

The study in future can address to the aspect of personality traits of retail investors for technology adoption for investment decisions. Further investigation is required on addressing unobserved heterogeneity of retail investors towards technology adoption process in emerging financial markets.

The study provides theoretical and practical implications for retail investors, financial advisors and technology companies to understand the behavioral pattern and mobile apps adoption behavior of retail investors in emerging financial market. The findings in the study will help broking firms to sensitize their clients for effective use of their respective mobile apps for e-trading purposes. The study will strengthen the knowledge of financial advisors to understand investment behavior of retail investors in emerging financial markets.

This study unfolds a novel framework of research to understand the technology adoption pattern of retail investors for e-trading by mobile applications in emerging financial markets. The present study provides significant understanding in the domain of technology adoption by retail investors under behavioral finance environment.

The purpose of the study is to investigate the long-run and short-run dynamic relationship between crude oil prices and the movement of Sensex for the period of 2000–2018.

The study uses the augmented Dickey–Fuller test for the presence of unit root, Johansen cointegration test for estimating the cointegration among the variables. Further, in the case of no cointegration found, the study employed the vector autoregression (VAR) model to estimate the long-run relationship and the Granger causality/Wald test for short-run relationship. The study also conducted tests for the prerequisites of the model: serial correlation, heteroskedasticity and normality of data.

The study found that both the variables, crude oil prices and Sensex are integrated of order 1, that is, I (1), and there is no cointegration between them. Further, the results proliferated from the VAR model unfold the marked effect of previous month crude oil prices (lag 1) on the movement of Indian stock market represented by Sensex considered as the benchmark index. Furthermore, VAR–Granger causality/block exogeneity Wald tests results indicated that there is a causal relationship between the crude oil prices and Sensex under the VAR environment. The model does not have any serial correlation and heteroskedasticity indicating toward the unbiased and robust estimates.

The study is conducted till the year 2018, and data for the present period (post-2018) is excluded due to ongoing trade issues between the USA and oil-exporting countries such as Iran. The current COVID-19 outbreak has also put serious issues. Due to limited time and availability of standardized data, researchers have considered Sensex as equity index only, but for more generalized research outcome few other equity indexes could have been taken for study.

The study is completely original in nature and is an extensive study of the relationship between the crude oil price and Indian stock market with reference to causality between the variables.

The purpose of this article is to develop relationships between many major issues relevant to the agriculture supply chain.

With the purpose of gaining an all-encompassing understanding of the agriculture supply chain, this work uses 233 filtered research articles and three bibliometric analysis tools, namely VOSviewer, term frequency-inverse document frequency (TF-IDF) and Person correlation. The collected research publications were also catalogued using Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA).

Using analytic techniques, a total of 12 keywords were obtained. The study found that agri-products are in dire need of digitisation via Internet of things (IoT) and blockchain due to the usage of economic variables and comprehensive management of total food waste throughout transportation, anchoring quality and the predominant variable.

The study was limited to the Scopus and Web of Science (WoS) indexing in order to assess the viability of the linked idea and problem.

This study aims to generate vital knowledge in the field of horticulture-focused agriculture supply chain based on previous justification and relationship formation.

The present research study aims to understand the cause-and-effect reasons behind the job-hopping practices followed by Gen Z employees in the industry 5.0 in India. Further, in the tandem of efforts, the research study has examined the direct and indirect relationship among novice behaviour, social alienation and job-hopping in Gen Z in the information technology sector of Industry 5.0 in India.

The 533 Gen Z or millennial employees were chosen from northern India Industry 5.0 following the non-probability purposive sampling technique. The study follows the quantitative research approach, and the data were collected through a survey questionnaire based on standardized measuring instruments. Further, the gathered data were analysed using the structure equation modelling.

The study’s findings confer the significant direct impact of novice behaviour on job-hopping. While measuring the indirect relationship, the partial mediation effect was noticed in the relationship among novice behaviour, social alienation and job-hopping in the Gen Z employees of Industry 5.0 in India.

The present study will be beneficial to the investors to recognize the job-hopping reasons in Industry 5.0. Further, Gen Z employees and academicians will also receive insight into the cause and effect behind job-hopping. Such will minimize the gap between industry and academia and help Gen Z attain stable employment in Industry 5.0.

Breast cancer (BC) presents a major public health challenge world-over including India. While several risk-factors, early signs and symptoms of BC are known, the knowledge and awareness of this disease remains poor among the population. The present study aimed to determine the extent of knowledge and awareness of BC, its risk factors, early signs and symptoms and breast self-examination (BSE) practice as an early detection method among Indian college-going female students.

The authors conducted a cross-sectional survey at a University in Delhi-NCR. Data on socio-demographic, knowledge and awareness of BC including BSE was collected using a pretested questionnaire. Chi-square test and logistic regression analysis was performed. All tests were two-sided and significance was set at p < 0.05.

A total of 866 female students participated in the study with mean age of 22.32 (±0.146) years having mean body mass index (BMI) of 21.22 (±3.52). As high as 82.1% of the participants had heard of BC but while 74.8% thought early detection is possible, 70.7% believed BC cannot be prevented. Gene mutations (60.2%) were identified as a significant risk factor, while breast pain (61.4%) was commonly recognized as a sign of BC. Only 29.8% of students ever performed BSE. Increased odds of performing BSE (OR = 3.4) was found among students who recognized gene mutations as an important BC risk factor.

Knowledge and awareness of BC including BSE among female college students were found to be below average. It is suggested that there is an urgent need for increasing BC awareness among young girls through workshops and mobile-health interventions.

This study provides new information on the level of knowledge and awareness of BC risk factors, sign and symptoms and self-examination practice among young college girls. Moreover, this study advocates the need for design and implementation of a sustainable digital health model for active population BC screening, which is not being done currently.

BC is a highly aggressive disease, which is now one of the leading causes of morbidity and mortality in India and world over. Although the knowledge of BC risk factors and its signs and symptoms have increased, the awareness of these elements among the general population at large is low and/or missing, especially in India. Furthermore, as a consequence of unorganized screening programs in the country, majority of women are presenting young with locally advanced disease. Understanding the existing level of knowledge and educating school, college and University students of the pertinent factors and screening practices such as BSE could drastically help in improving the self-screening and/or clinical examination rates. This could potentially lead to early detection and improved prognosis, thus ameliorating disease burden.

This study is one of the few studies conducted in India among young female college students belonging to non-medical backgrounds, delineating the level of knowledge and awareness of BC risk factors and signs and symptoms along with practice of early detection method such as BSE. The study has a considerable sample size and provides valuable evidence for a need to implement programs incorporating digital health models for accelerating awareness and screening of young girls in both rural and urban settings.

Industrial Revolution 4.0 prompts organizations to adopt emerging technologies, and the healthcare industry is no different from them. Further, it is important to adopt new edge technologies to improve services and the well-being of patients. This research synthesizes the work most influenced by this technology and the trends and usage of Industry 4.0 technologies in the healthcare sector.

The study has used the Scopus and Web of Science databases to retrieve articles published in healthcare and Industry 4.0 for bibliometric analysis. Specifically, Bibliometrix (R-package) and VOSviewer were used to analyze data related to authors, sources, keywords and content analysis.

The study found increased research trends in Industry 4.0 and healthcare in recent years. The USA, India and China are top contributors in this field, showing research progress in developed and developing economies. Dwivedi Y and Kumar A. were top researchers in the field. The finding also reveals that predictive analytics, deep technology and sustainable development are emerging areas for healthcare where Industry 4.0 can play a crucial role.

Using Industry 4.0 technologies can help the company improve its services, operational efficiency and patient care.

The study explored the trends in the healthcare sector for using Industry 4.0 technologies through bibliometric analysis.