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Allocation of the marketing budget has become increasingly challenging due to the diverse channel exposure to customers. This study aims to enhance global marketing knowledge by introducing an ensemble attribution model to optimize marketing budget allocation for online marketing channels. As empirical research, this study demonstrates the supremacy of the ensemble model over standalone models.

The transactional data set for car insurance from an Indian insurance aggregator is used in this empirical study. The data set contains information from more than three million platform visitors. A robust ensemble model is created by combining results from two probabilistic models, namely, the Markov chain model and the Shapley value. These results are compared and validated with heuristic models. Also, the performances of online marketing channels and attribution models are evaluated based on the devices used (i.e. desktop vs mobile).

Channel importance charts for desktop and mobile devices are analyzed to understand the top contributing online marketing channels. Customer relationship management-emailers and Google cost per click a paid advertising is identified as the top two marketing channels for desktop and mobile channels. The research reveals that ensemble model accuracy is better than the standalone model, that is, the Markov chain model and the Shapley value.

To the best of the authors’ knowledge, the current research is the first of its kind to introduce ensemble modeling for solving attribution problems in online marketing. A comparison with heuristic models using different devices (desktop and mobile) offers insights into the results with heuristic models.

The consumption of news from social media is the new trend, still news channels are the authentic source to transmit relevant news to audiences. Social media has gradually left an impact on the audience but the news channels have upgraded and providing various news services online on social media websites. The present study aims to study the type of news videos uploaded by the top five Hindi TV news channels on their YouTube channels with an aim to see which type of videos spark interest for YouTube viewers.

By applying the techniques of content analysis, sentiment analysis and text mining the study aims to measure the average sentiments, top words and the trend of selected popular terms in the comments on uploaded news videos by the top five Hindi news channels over a period of one year.

Results of the study indicate that the news channels are uploading more news videos about crime and investigation, politics, health and protests while uploading fewer news videos covering travel, science and technology, and religion. While the viewers of the participating news channels are more interested in giving their thoughts or opinions in the form of comments on news videos concerning crime, politics, protests and health or that these videos inspire conversation on YouTube.

The findings might be of interest to content managers of news channels to understand the interest of their audience.

The study's distinctiveness resides in the approach utilised to collect data and analyse the results in order to better understand the online behaviour of news channel audiences.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-01-2022-0007

Building on stimulus organism response theory, the current study examines the influence of channel integration quality dimensions (channel service configuration and integrated interactions) on the omnichannel retail store's shoppers' satisfaction, trust and commitment, subsequently leading to customer citizenship behavior (CCB). It examines the relationships proposed against boundary conditions, the number of channels used during the purchase and gender.

The research is descriptive, quantitative and cross-sectional investigation. It was conducted using data from 451 Indian omnichannel shoppers using a validated self-administered questionnaire. The proposed conceptual model was tested using PLS-SEM and PLS-MGA.

The results indicate that channel service configuration positively impact the dimensions of relationship quality of the omnichannel shoppers. However, integrated interactions influence trust and commitment directly but affect satisfaction indirectly through trust. Subsequently, relationship quality significantly explains CCB. The model results show r2 = 0.402 for CCB; that is, 40.2% of CCB is explained by channel integration and relationship quality. The moderating effect of the number of purchase channels used and gender on all proposed relationships were tested. PLS-MGA results revealed channel service configuration led to shopper commitment, subsequently impacting CCB. The effect was more among shoppers who used more than 2 channels. The impact of channel service configuration on commitment was seen more among female shoppers. Male and female shoppers exhibited satisfaction-driven and trust-driven citizenship behavior, respectively.

The study is carried out in the Indian population, where omnichannel retailing is still in the nascent stage.

This is the first study to demonstrate channel integration quality may influence customer citizenship behavior through relationship quality dimensions, tested against boundary conditions, the number of channels used during the purchase and gender. The findings from this research would help retail store managers design their omnichannel operations to encourage firm-beneficial value co-creation behaviors among omnichannel shoppers.

This study aims to integrate brand and retailer levels variables to examine the direct and indirect relationships between omnichannel retailing and consumer engagement.

Survey data are collected from a sample consumers of different omnichannel retailing brands operating in the skin care industry. Partial least squares structural equation modeling is utilized.

The study finds brand channels' integrated interactions (process and content consistency) to increase consumer brand engagement. Findings show retailer consumer empowerment to intensify the impact of omnichannel retailing on consumer engagement. Results also show brand channels' integrated interactions to increase consumer brand familiarity, which mediates the effect of omnichannel retailing on consumer engagement.

This study suggests that integrating brand- and retailer-level variables is vital to understand the effect of omnichannel retailing on consumer engagement. The study concludes that for successful omnichannel strategy, collaboration between brands and retailers is imperative.

Product discounts have been widely applied in digital commerce as a method to attract and retain customers to purchase in China. Given that digital channels differ in their attributes, customers may behave differently when they respond to the same discount across channels. However, little attention has been paid to explore the heterogeneity of customer responses to discounts across channels. This study aims to fill in the gap by exploring how customers’ purchase responses to price discounts differ across digital channels.

This study applies a Poisson regression to an unbalanced data set of purchasing history from Chinese footwear brands with 3,510 customers in a two-year time window across the three digital channels (i.e. personal computer [PC], app and mobile website), with a correction for endogeneity by using the Gaussian copula method.

This paper finds that price discounts have the strongest positive effect on consumers’ purchase volumes on the PC channel, followed by the app channel, while discounts show the weakest impact in the mobile website channel. By so, this paper demonstrates that customers respond differently to online and mobile channels, and they also respond differently within mobile channels when they purchase products with price discounts.

This study is original in analyzing the difference in customers’ discount responses across digital channels, offering valuable contributions to existing research on multichannel marketing as well as mobile marketing and providing helpful insights for multichannel merchants to design digital discount strategies.

This empirical study aims to examine luxury fashion retailers' localised multiple channel distribution strategies in China.

Through case studies of 15 participating retailers, qualitative data were collected from 33 semi-structured interviews.

Strong impacts of internationalisation strategies, distribution strategies and channel length towards multiple channel retailing are revealed. Multi-channel retailing is widely employed by firms who have entered China and further developed their businesses through local partnerships and adopted a selective distribution strategy via relatively longer channels. Omni-channel retailing is only suitable for the few retailers using an exclusive distribution strategy through direct marketing and wholly owned customer relationship management. As a dynamic transformation from multi- to omni-channel retailing, cross-channel retailing is adopted by those who are withdrawing from local partnerships and shifting to wholly owned expansions and operations in host markets.

The results are potentially challenged by relatively small sample size.

Practitioners are suggested to adapt multiple channel retailing to their international expansion strategies, distribution strategies and channel length in the host markets.

This paper contributes to the literature in both multiple channel retailing and international retailing by offering insights into the motives, development patterns and suitability of multiple channel retailing in the international retail marketing context.

Despite the extensive academic interest in electronic word of mouth (eWOM) communication, consumer attitudes toward eWOM communication have been neglected. The purpose of this paper is to propose a conceptual framework for attitudes toward eWOM communication across digital channels.

Data were collected through a web-based survey on seven major digital communication channels. ANOVA was applied in order to analyze their differences. In addition, structural equation modeling was used to test the eWOM attitude model, using a sample of 864 participants who have had prior experience with the channels under study.

Findings indicate that both attitude toward eWOM and its antecedents significantly differ across channels. Additionally, a path analysis model reveals that the original integrated model applies to eWOM communications. Yet, in the case of eWOM, irritating messages may be positively related to attitude toward the channel, and credibility serves as a mediator of message value.

This paper supports the notion that attitude toward eWOM communication significantly differs across media channels. Future research should examine additional implications of attitude toward eWOM, and explore new and evolving channels.

Practitioners should adjust their eWOM media strategy to their objectives; blogs and social networks are more effective for brand attitude formation, whereas web forums enhance message credibility.

To the best of the authors’ knowledge, this is the first research study that tests attitudinal differences toward eWOM across digital channels. As such, it contributes to the understanding of people’s perception of these platforms.

Porous medium has always been introduced as an environment for increasing heat transfer in cooling systems. However, increase in heat transfer and resolving pressure drop in the fluid flow have been focused on by researchers.The purpose of this paper is to study the effects of creating porous micro-channels inside porous macro-blocks to optimize system performance in channels.

To simulate flow field, a developed numerical code that solves Navier–Stokes equations by finite volume method and semi-implicit method for pressure linked equations (SIMPLE) algorithm will be used together with bi-disperse porous medium (BDPM) method. Working fluid is air with Pr = 0.7 in laminar state. Influence of permeability changes by creation of micro-channels containing porous medium in vertical, horizontal and cross-shape patterns will be investigated.

By creating porous micro-channels inside macro-blocks, not only does the heat transfer increase significantly but the pressure also drops remarkably. Increase in performance evaluation criteria (PEC) is more evident in lower Reynolds numbers that can increase the PEC to 75 per cent by creating cross-shape micro-channels. By changing the permeability of micro-channels, PEC will increase by reducing the pressure drop but it has minor changes in Nu.

The current work is applicable to optimizing system performance by decreasing the pressure drop and increasing the heat transfer.

The developed patterns are useful in increasing the system performance including the increase in heat transfer and decrease in pressure drop in systems such as air coolers required in electrical circuits.

Development and optimization of system performance by new patterns using BDPM in comparison to the previous patterns.

The purpose of this paper is to present the embossing as a replication technique for structuring fuel channels in the anode-supported solid oxide fuel cells (SOFCs).

The anode laminate, which was exposed to embossing, consisted of eight layers of isostatic pressed Ni-yttria-stabilized zirconia tapes (Ni-YSZ). Preheating the mould and soaking the laminate in the plasticizer was applied before structuring of the channels to soften the laminate. Compressing tests were carried out to investigate the embossing ability of the Ni-YSZ laminate and to find the optimal processing parameters. Embossing was carried out with a testing machine, and the samples were exposed to embossing forces in the range up 20 kN with a certain speed of compression and a dwell time.

The embossing parameters (force of compression, speed of compression and dwell time) suitable for proper fuel channels formation were established. Shapes, profiles and dimensions of the embossed channels were analysed and compared to the micromachined channels. The model of the SOFC with embossed fuel channels was completed, and its current-voltage characteristic was measured.

Experiments proved that embossing can be the alternative method for patterning fuel microchannels in SOFCs. Embossing simplifies the process of fuel channel formation and reduces the time of SOFC fabrication. It is necessary to improve the geometry and quality of the mould formation to make the fuel channels deeper and of better surface finish.

The main purpose of this study was to examine the effectiveness of embedded social media channels and determine whether the embedded social media channels enhance the overall experience of travelers using the hotel Web sites.

A true-experimental, between-group and post-test-only design was used to address the primary research questions. Two privately accessible complete versions of the Web site (one with embedded social media channels and one without them) were designed for the experiment. The uses and gratifications approach was used to test the proposed hypotheses. Data were analyzed using ANOVA.

The results of this study revealed that embedded social media channels on the hotel Web site enhanced travelers’ social gratifications of perceived social interaction. Apart from these benefits for travelers seeking social gratifications, embedded social media channels did not enhance the overall experience (content and process gratifications) of travelers using the Web site.

In the case of embedded social media on hotel Web sites, this study suggests that hotel managers measure return on engagement to examine the effectiveness of embedded social media, instead of return on investment.

The study revealed that the emergence of embedded social media channels and their integration on hotel Web sites will have significant influence on travelers who seek social gratifications.

The findings of this study offer new empirical evidence that embedded social media channels enhance only travelers’ perceived social interaction during their first visit to the hotel Web site.