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In today’s fast-paced and interconnected market, companies must adapt to the evolving demands of their customers. Therefore, it is essential to examine the impact of online reviews on potential customers' intent to purchase. This study seeks to identify the characteristics of electronic word-of-mouth (eWOM) that influence a buyer’s intention to purchase goods and services.

We used the snowball sampling method to collect data using a pre-tested survey instrument with a five-point Likert scale. We received 696 usable responses. We conducted assumption tests to ensure that we could use covariance-based structural equation modelling (CB-SEM) for data analysis. The collected data were analysed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to compute the latent variables. We then tested our research hypotheses using CB-SEM.

Eight latent constructs – perceived persuasion, perceived information, image aesthetics, ease_of_experience, eWOM_credibility, eWOM_usefulness and eWOM_adoption – have been identified, which determine the influence of eWOM on purchase intent (PI) for both tangible and experiential products. Though the structural model emerged relatively similar, the constructs had differential impacts on PI for commodities and services. The perceived information quality and source trustworthiness had a greater impact on eWOM credibility in the case of services than in the case of commodities, while image aesthetics played a more crucial role in determining the eWOM credibility for commodities than services. In both cases, credible eWOM was found useful, but a persuasive eWOM influenced its perceived usefulness more in the case of commodities. The likelihood of adopting a useful eWOM and converting it to positive PI is present in the case of both services and commodities, but the impact is much higher in the case of services.

The study has examined the interplay of three theoretical consumer behaviour models: elaboration likelihood model (ELM), stimulus-organism-response model (SOR), and information adoption model (IAM). Thus, it adds to the existing literature on the characteristics of eWOM that influence the PI of online buyers.

This study’s findings demonstrate how eWOM influences consumers' perceptions of the utility of goods and services, impacting their intention to purchase. It also provides valuable insights into marketing and consumer behaviour in the Indian market. Thus, this study assists marketers in adjusting their digital marketing strategies to ensure the effective use of eWOM characteristics to positively influence the PI of the target audience in the Indian market.

This research study examines the relationship between eWOM characteristics and PI for both goods and services sectors. Most existing literature is skewed towards specific service sectors, such as hospitality and health care. A generalised comparative study is what makes this research work unique.

The paper aims to investigate the influence of the angle of inclination on mixed convection heat transfer from rectangular plated shrouded fin array computationally. This study has got applications in the various thermal field such as cooling, solar thermal and so on.

A computational study is made to evaluate the thermal performance in an inclined channel.

Increase in clearance from 0.01 to 0.25 results in an increase of local Nusselt number by is as high as 15% near the exit. At a higher value of Gr with an increase in C* from 0.10, Nu is found to increase by 5.5%. Increase in Gr by 1.37 times results in enhancement of Nu by a maximum of 25-30%. Around 10% increase in overall Nu value is observed with an increase in inclination (i.e. from 30° to 60°).

This study has got applications in the various thermal field such as cooling, solar thermal and so on.

Entry region mixed convection in a shrouded inclined finned channel is performed.

Present study focuses on scope of developing sustainable heat resistant concrete by adding steel fibre (Sf) and polypropylene fibre (PPf) along with partially replacement of ordinary portland cement (OPC) and natural fine aggregate with fly ash (FA) and granular blast furnace slag (GBFS). Replacement percentages of FA and GBFS were 40% and 50%, whereas Sf and PPf for fibre-added mixes were 1% by volume of concrete and 0.25% by weight of cement, respectively.

An experimental work had been carried out to make comparison between control mix (CM), fibre-added sustainable mix (SCMF) and fibre-added control mix (CMF) with reference to weight loss, mechanical strength (compressive, split and flexure) after exposed to room temperature (27°C) to 1000°C at the interval of 200°C for 4 h of heat curing followed by furnace cooling and then natural cooling. Furthermore, microstructural analysis was executed at 27°C, 400°C and 800°C, respectively.

Colour change and hair line cracks were started to appear at 600°C. Fibre-added control mix and sustainable mix did not exhibit any significant cracks as compared to control mix even at 1000°C. Major losses were occurred at temperature higher than 600°C, loss in compressive strength was about 70% in control mix, while 60% in fibre-added mixes. SCMF exhibited the highest retention of strength with respect to all cases of mechanical strength.

Present study is based on the slow heating condition followed by longer duration of heat curing at target temperature.

Present work can be helpful for the design engineer for assessing the fire deterioration of concrete structure existing near the fire establishment such as furnace and ovens. Building fire (high temperature for short duration) might be the further scope of work.

Concept of incorporating pozzolanic binder and calcareous fine aggregate was adopted to take the advantage pozzolanacity and fire resistivity. To the best of author’s knowledge, there is a scope for fill the research gap in this area.

Dinesh Sibal, CEO of Q-Connect, was reading his mails on his laptop after returning back to his hotel room in Guwahati. He was in Guwahati for his regular monthly meeting with field team. One of the mails was from marketing manager of a leading consumer durables company dealing in kitchen utensils and appliances. The company wanted to use Q-Connect network to carry out demonstrations and sales of its products for its target customers in Assam. Sibal was pleased as this was the first instance of a company reaching out to him for using Q-Connect network. He wanted to share the good news with his colleague Gulancha Baruah with whom he had built this network.

This study seeks to understand Trump supporters’ behaviors on social media in the wake of a political controversy: US President Trump’s continued support for Judge Roy Moore’s candidacy for the US Senate representing the state of Alabama despite several allegations of sexual assault against him.

Few days before the special election was held in Alabama, an online survey was conducted among 325 supporters of President Trump to explore Trump supporters’ social media behaviors, including the unfriending/unfollowing contacts and speaking out about the controversy.

We found a negative presidential image to influence individuals’ loss of face, and such loss of face to impact unfriending/unfollowing behaviors on social media, as well as outspokenness. Furthermore, the differences between strong issue supporters and weak issue supporters’ opinions of climate perceptions and outspokenness were investigated.

Rather than using fear of isolation as the mediator between opinion climate and willingness to speak out, as is generally the case in the spiral of silence model (Moy et al., 2001), this study investigated the role of another affective indicator, loss of face on two social media behaviors, outspokenness, and unfollowing/unfriending contacts on social media.

While popular genre fictions like detective novels are often centred around formulaic plots and stereotypical characters, they also undergo several exciting changes when adapted in a diverse array of cultural and linguistic contexts. My chapter examines the first female detective of a Bangla crime writing series, Detective (Goyenda) Krishna as a figure that challenges patriarchal stereotypes related to violent women and dismantles the illusory neatness of binaries associated with ‘good’ and ‘bad’ femininity. The gun-toting, vengeance-seeking literary detective is also examined as mediating shifts and transitions in gendered practices and norms in Bengal – its socio-political as well as literary contexts – as it negotiated ideas of decoloniality from the first decade of the twentieth century and emerged as part of a new, partitioned nation in 1947. She is seen as a creative response to the changes related to gender that had been gradually taking shape in colonised Bengal and as articulating radically re-imagined possibilities and opportunities related to female subjectivities in a newly decolonised nation.

Measurement scales for sensory experience in retailing exist for sight, touch and sound. In the present study, the authors aim to develop the olfactory experience (OEX) scale in the context of retailing.

Based on literature review and six studies that follow standard scale development protocols (combined n = 1,203), the authors develop and validate a three-dimensional OEX scale. The scale is further validated in the final study in a different market set-up than the first five.

The authors found the three dimensions of OEX as (scent) company, congeniality and congruity. The OEX scale is found to be generalizable and valid across different cultural and market set-ups. In addition, the OEX (i.e. the scale) was found to effect psychological and behavioral outcomes of the consumer in a significant manner.

The present study contributes to the domain of sensory experience in retailing with the OEX scale and provides three new dimensions of OEX for the academicians to further explore.

The OEX scale provides a ready to use tool for the retailer to gauge the level of OEX in the store and to predict consumer attitudes and behavior.

The study is the first to develop a scale for OEX in retailing or for that matter in consumer behavior.

The authors investigate the relationship between the structure and the functioning of scientific and technical (S&T) personnel and the quality research and development (R&D) performance output of laboratories functioning under the Council of Scientific and Industrial Research (CSIR), India. The purpose of this paper is to examine how rapid economic and social changes and the demand for better accountability are addressed by public R&D institutions in a specific developing economy.

The authors use the functions performed by the S&T personnel as indicators of their tacit knowledge. The authors use data from 27 different CSIR laboratories to analyze the specific functions carried out by knowledge workers (S&T personnel) in order to gauge the internal strengths and weaknesses of individual laboratories in different functional areas. The authors use the following measures to tap the quality R&D performance of these laboratories – number of Indian patents filed and granted, number of foreign patents filed and granted, and the number of published papers figuring among the top 50 CSIR publications in specific research areas over an extended period of 11 years (2003-2004 to 2013-2014).

The findings show that there is no readymade formula for identifying improvements in quality performance by a research laboratory, given a particular set of S&T worker profile in terms of the six functions defined in the study. The top-performing laboratories have excellent patent as well as publication record reinforcing the point that innovation encompasses both basic and applied research with success depending upon strategically emphasizing the different components of the innovation process.

The scope of the present research work is limited by the choice of the quality R&D performance measures adopted in the study that could be further expanded to better tap the social accountability of these public-funded institutions. In addition, inclusion of all CSIR laboratories in the study framework would add value to the study findings. The research highlights the importance of tacit knowledge management and organizational learning as central features of strategic organization development for technology practices incorporating R&D work, the support of pilot plants, experimental field stations, and engineering and design units.

The paper has particular implications for the leadership and management of public R&D organizations and public policy formulation for innovation in an emerging developing economy context.

This study extends the extant literature by drawing upon the role of tacit knowledge and organizational learning to inform the empirical research on managing public R&D and the innovations that result from it, in a particular emerging economy context, that is, India.

This paper aims to evaluate the theoretical performance of elliptical dam bearing (EDB). The objective of this paper is to study the influence of eccentricity ratio, dam parameters and micropolarity parameters on the stability of EDB with respect to micropolar lubrication.

In this study, the modified Reynolds’ equation for dynamic state is solved using the finite element method and Galerkin technique. A MATLAB code is written to compute pressure and stability and also to analyse the characteristics. The stability parameters of an EDB are computed for selected values of eccentricity ratios at four levels in the range of 0.20 to 0.35 and for length-diameter ratio of 2.0.

The results from stability analysis reveal that micropolar lubricated EDB provides better stability at smaller material length due to increased effective viscosity. Hence, it is better to select the smaller characteristic length and higher dam width to achieve optimum performance of these bearings.

Very few researchers investigated the effects of working eccentricity, bearing dam and micropolar fluid parameters on the EDB in the past. It is important to study these aspects for optimum performance of bearings.