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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.

The purpose of this paper is to study the use of electronic (e)‐journals by doctoral research scholars of Goa University, Goa (India). The main aim is to know the use of e‐journals for research work. Further, the study aims to highlight the problems in accessing e‐journals, degree of utilization, and influence of e‐journals on research work.

A survey is conducted through a structured questionnaire circulated among 100 doctoral research scholars (PhD) in Goa University and the response rate is found to be 96 percent. The responses received from the doctoral research scholars to 16 questions is presented in the form of tables and figures and analyzed by using a simple method of calculation. Stratified accidental random method is used for selection of respondents.

The paper arrives at the following conclusions: the e‐journals have become vital part of information for research work. This study helps in knowing the importance and use of e‐journals in comparison to printed journals particularly for the research community. Most of the respondents are accessing e‐journals from the Department Computer Labs for their research work and e‐journals meet the instant desire of users to have an access to information. Springer & Kluwer is the leading publisher. Boolean Search is the most popular advance search technique. The study shows that there is need for user orientation for efficient searching of e‐journals. The most common problem faced by the respondents is that there is difficulty in accessing full text and many of the respondents are not satisfied with the Internet facilities available in Goa University and they provide some constructive suggestions for improving the accessing of e‐journals.

The paper is confined to the use of e‐journals by the doctoral research scholars of Goa University, Goa.

This paper is an outcome of the study made in Goa University, Goa about the use of University Grants Commission (UGC)‐Infonet Digital Library Consortium's e‐journals by doctoral research scholars during the study period, i.e. 1‐28 June 2008.

Vertical handoff mechanism (VHO) becomes very popular because of the improvements in the mobility models. These developments are less to certain circumstances and thus do not provide support in generic mobility, but the vertical handover management providing in the heterogeneous wireless networks (HWNs) is crucial and challenging. Hence, this paper introduces the vertical handoff management approach based on an effective network selection scheme.

This paper aims to improve the working principle of previous methods and make VHO more efficient and reliable for the HWN.Initially, the handover triggering techniques is modelled for identifying an appropriate place to initiate handover based on the computed coverage area of cellular base station or wireless local area network (WLAN) access point. Then, inappropriate networks are eliminated for determining the better network to perform handover. Accordingly, a network selection approach is introduced on the basis ofthe Fractional-dolphin echolocation-based support vector neural network (Fractional-DE-based SVNN). The Fractional-DE is designed by integrating Fractional calculus (FC) in Dolphin echolocation (DE), and thereby, modifying the update rule of the DE algorithm based on the location of the solutions in past iterations. The proposed Fractional-DE algorithm is used to train Support vector neural network (SVNN) for selecting the best weights. Several parameters, like Bit error rate (BER), End to end delay (EED), jitter, packet loss, and energy consumption are considered for choosing the best network.

The performance of the proposed VHO mechanism based on Fractional-DE is evaluated based on delay, energy consumption, staytime, and throughput. The proposed Fractional-DE method achieves the minimal delay of 0.0100 sec, the minimal energy consumption of 0.348, maximal staytime of 4.373 sec, and the maximal throughput of 109.20 kbps.

In this paper, a network selection approach is introduced on the basis of the Fractional-Dolphin Echolocation-based Support vector neural network (Fractional-DE-based SVNN). The Fractional-DE is designed by integrating Fractional calculus (FC) in Dolphin echolocation (DE), and thereby, modifying the update rule of the DE algorithm based on the location of the solutions in past iterations. The proposed Fractional-DE algorithm is used to train SVNN for selecting the best weights. Several parameters, like Bit error rate (BER), End to end delay (EED), jitter, packet loss, and energy consumption are considered for choosing the best network.The performance of the proposed VHO mechanism based on Fractional-DE is evaluated based on delay, energy consumption, staytime, and throughput, in which the proposed method offers the best performance.

At the present time, Industry 4.0 has proven its effectiveness and significance in automation and data exchange within industries across different sectors worldwide. In the current literature, there is still a lack of research on adopting Industry 4.0 in the manufacturing setting in developing economies. The main purpose of the present study is to explore the fundamental pillars and framework for ease of adoption of Industry 4.0 in manufacturing environments, along with highlighting the benefits and challenges.

In this study, a systematic literature review has been conducted through protocol, search, appraisal, synthesis, analysis, report (PSALSAR) model. In the literature, the articles are included within time span of 2008–2022, consisting keywords like Industry 4.0, blockchain, machine learning, artificial intelligence, Internet of Things, 3D printing, big data analytics, etc. Based on available literature, conceptual implementation framework of Industry 4.0 is proposed.

This study explored the key ingredients that play an essential role to bridge the gap and construct a strong relationship among physical and cyber world. The results reveals that the emerging technologies such as IoT, blockchain, artificial intelligence, augmented reality, 3D printing, big-data analytics, cloud-computing join hands to accomplish success in Industry 4.0 by reducing human interference for effective and efficient systems. In addition, the study also explored the possible benefits of emerging technologies with challenges faced by manufacturing setting during adaptation of Industry 4.0.

As per the authors' best knowledge, no research articles are found in literature which explore various emerging technologies in Industry 4.0 with its implementation framework in the manufacturing setting in developing economies. The main focus of the present study is to discover the literature review in defined area and find the research gap among current scenario and future trend for execution of Industry 4.0 in manufacturing environment.

This study aims to explore the potential application of blockchain technology in Lean Six Sigma (LSS) project through a proposed blockchain-LSS (BLSS) model. The proposed model can tackle real-time problems in information sharing, transparency and traceability in every stage of the LSS project.

The scoping review approach is used to develop the integrated model of the BLSS approach for operational excellence. The proposed model is validated through expert’s input, which is collected by a questionnaire survey method.

The prime function of the proposed BLSS model is the information sharing among the project team and real-time monitoring, transparency, traceability and immutability in the Define-Measure-Analyze-Improve-Control phase. The proposed model also consists the information about the role of blockchain features at each phase of the LSS project. The project team and industry employees can trace the success of the project at every moment, resulting in trust buildup and the elimination of fake data. Moreover, there would be no disputes among various sections/shops of the plant and employees to share the real information.

This paper provides guidelines to practitioners and managers for integrating the LSS approach and blockchain. The blockchain helps managers and practitioners in better data traceability and transparency, monitoring of data as well as more sustainable LSS project management.

To the best of the authors’ knowledge, this is the first research attempt that developed an integrated model of blockchain and LSS approach to maintaining the immutable records of assets in projects and targeted Industry 4.0.

The purpose of this paper is to provide a case study of a global challenge: the relationship between commercial development and the protection of eco-fragile systems particularly where river water is involved. It reviews and critiques the legal and political processes that underpinned the Commonwealth Games (CWG) 2010 in Delhi and the building of the accommodation Village on the floodplain of the river Yamuna.

The paper covers the controversial modern history of the Yamuna river that runs through Delhi. The river is “dead” and has been subject to litigation concerning its usage and that of its flood plain. In particular, the controversy peaked prior to the CWG 2010 in Delhi and the required buildings associated with the games. The paper traces the history of the legal actions and the inter-related involvement of the various actors being the politicians, construction developers, the river bank dwellers and the local environmentalists. Close analysis is made of the statutory administrative procedures required for environmental clearance, the subsequent case law both in the High Court of Delhi and the Supreme Court of India. Additionally, usage is made of the media and its concerns over corrupt and negligent practices.

The Indian judiciary in their willingness to promote the construction of the Village failed to apply its own environmental jurisprudence. There was a failure to “lift the veil” and review flawed administrative practices that violated governing statutes. National pride, time pressures, political support, economic interests and rapid urbanisation created a pressure that the courts could not challenge. It was left to investigative committees, after the Games had concluded, to expose these wrongdoings.

The paper highlights the issue of the relationship of the courts and political and economic interests and how legally protected ecological interests are ignored.