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Search engine optimization (SEO) has long been a key topic in marketing research, but there are very few studies addressing SEO success and brand equity (BE). Thus, this study aims to investigate the interdependence of SEO success and BE, with a specific focus on small- and medium-sized enterprises (SMEs).

The study involved conducting interviews with SEO and digital marketing experts, followed by a comprehensive analysis of their responses to investigate the mutual association between BE and SEO. The analysis of the interview data was conducted using the grounded theory approach.

The placement of a brand on top of search engine results is perceived as an indication of its credibility by searchers. Well-established brands tend to have superior SEO performance due to the impact of search algorithms and their powerful brand recognition. Lesser-known brands should improve their SEO performance to enhance their BE.

This study makes a significant contribution to the understanding of the interdependence between SEO and BE. Specifically, this study provides SMEs with effective SEO strategies to enhance their BE in the future.

This study presents unprecedented findings on the reciprocal relationship between SEO success and BE. The study also highlights the potential risk for SMEs of falling into a negative spiral due to poor SEO performance and offers practical business solutions to address this issue.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

The study establishes that search engine optimization and brand equity have a bidirectional relationship. The directionality and influence of this relationship however depends on extent to which the brand is well established.

The briefing saves busy executives, strategists, and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The purpose of this paper is to study the effects of single parameters for temperature characteristics of oil film in port plate pair and the relationship of calculated results and experimental results under different viscosity.

The paper established the mathematical model of oil film of port plate pair, calculated the energy equation of port plate pair, simulated for the oil film and temperature distribution and selected different kinds of lubricants to analyze the calculated value and the experimental value.

The results show: temperature rise of port plate pair is reduced with the increase of oil viscosity; temperature rise of port plate pair is decreased with rise of initial oil film thickness; temperature rise of port plate pair is increased with the rise of cylinder body speed, inclination angle and sealing belt width; and through the comparison of calculated value and experimental value, under the same viscosity and cylinder speed, experimental results are bigger.

This paper used the methods that the temperature of port plate pair was calculated numerically, and the results were consistent with experimental results, so it can get high precision.

As the crucial support component of the propeller power system, the reliability of the operation of submersible pumps is influenced by the lubrication performance of water-lubricated thrust bearings. When the water-lubricated thrust bearings are under start-stop or heavy load conditions, the effect of surface morphology is crucial as the mixed lubrication regime is encountered. This paper aims to develop one mixed lubrication model for the water-lubricated thrust bearings to predict the effects of surface skewness, kurtosis and roughness orientation on the loading carrying capacity and tribological behavior.

This paper developed one improved mixed lubrication model specifically for the water-lubricated thrust bearing system. In this model, the hydrodynamic model was improved by using the height of the rough surface and its probability density function, combined with the average flow model. The asperity contact model was improved by using the equation for the Pearson system of frequency curves to characterize the non-Gaussian aspect of surface roughness distribution.

According to the results, negative skewness, large kurtosis and lateral surface pattern can improve the tribological performance of water-lubricated thrust bearings. Optimizing the surface morphology is a reasonable design method that can improve the performance of water-lubricated thrust bearings.

In this paper, one mixed lubrication model specifically for the water-lubricated thrust bearing with the effect of surface roughness into consideration was developed. Based on the developed model, the effect of surface morphology on tribological behavior can be evaluated.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2023-0247/

In recent years, many new and interesting business models for Internet-based selling have emerged with the advent of electronic commerce, one of which is the Internet-based group-buying. Since group-buying can be quickly built and removed, and the consumers can pay a lower price for the product through it, the group-buying can be a new online promotion form. In this chapter we build up a two-period pricing model for a supply chain when a supply chain member utilizes group-buying program to promote its products. In detail, we consider a supply chain consisting of a supplier and a retailer, where the supplier or retailer may launch a group-buying program to promote the products via a group-buying web site in the promotion period (i.e., the first period), as well as the supplier may sell its products through the retailer traditionally in both periods. Utilizing game theory, we derive the equilibrium decisions of the two supply chain members in three different scenarios, that is, (i) there is no group-buying program, (ii) the supplier launches a group-buying program, and (iii) the retailer launches a group-buying program. Analysis of the equilibrium decisions illustrates the following results: (i) both, the supplier and the retailer, will set low prices in the promotion period and high prices in the regular period; (ii) this trend will be enhanced when a group-buying program occurs, especially when such program is launched by the supplier; (iii) while the retailer can always benefit from a group-buying program, the supplier’s profit may be reduced under certain conditions; and (iv) in spite of the fact that the supplier’s profit may be damaged by the group-buying program, when the two supply chain members decide to launch a group-buying program, the unique equilibrium is that the supplier will launch such a program.

This study aims to investigate the impact of institutional fragility on the innovation investments of enterprises by analyzing the moderating effect of government subsidies and the integration of industry and finance.

Multiple regression analysis was used on 10,838 samples of 2,356 listed companies in China for the period 2007–2017, to empirically test the influence of institutional fragility on innovation investment. Moreover, Heckman’s two-stage approach was used for the robustness of the regression results.

The results show that the relationship between institutional fragility and innovation investment is an inverted U-shaped; government subsidies negatively moderate the relationship between institutional fragility and innovation investment, while the integration of industry and finance positively moderates them. Further analysis shows that the relationship between institutional fragility and innovation investment is more significant for high-tech enterprises. Similarly, the relationship between institutional fragility and innovation output also presents an inverted U-shape, which mainly affects enterprises’ breakthrough innovation output, but has no substantial impact on the incremental innovation output.

The conclusions provide new ideas for guiding the government’s reform, promoting the integration of industry and finance and promoting enterprise innovation.

Social influence plays a crucial role in determining the size of information diffusion. Drawing on threshold models, we reformulate the nonlinear threshold hypothesis of social influence.

We test the threshold hypothesis of social influence with a large dataset of information diffusion on social media.

There exists a bell-shaped relationship between social influence and diffusion size. However, the large network threshold, limited diffusion depth and intense bursts become the bottlenecks that constrain the diffusion size.

The practice of viral marketing needs innovative strategies to increase information novelty and reduce the excessive network threshold.

In all, this research extends threshold models of social influence and underlines the nonlinear nature of social influence in information diffusion.