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The purpose of this study is to explore the antecedents of consumers’ online review intention in e-commerce platforms from a unique perspective of consumer commitment and platform design. Meanwhile, for the dual-platform strategy, i.e. providing both the web and mobile platforms simultaneously, which is widely adopted in the industry but lacks theoretical concerns, this study aims to examine the differences that platform design influences consumer commitment, consequently contributing to online review intention, between the web and mobile contexts.

A cross-sectional online survey is employed, and a structural equation model-based approach is utilized to analyze the data collected from both the website-preferred consumers (N = 167) and the mobile app-preferred consumers (N = 247).

The results indicate that instrumental support design factors and socio-emotional support factors positively influence consumer commitment, which further affect online review intention positively. Furthermore, design factors in different use contexts generate different impacts, and consumer commitment generates a greater effect on online review intention in the mobile than in the web context. Empathy is found to be an important motivator of consumer commitment in both contexts.

To the best of the authors’ knowledge, as one of the first attempts to capture the differences in the relationship between platform design on consumer commitment and online review intention in different use contexts within the dual-platform e-commerce, this study provides insights for e-commerce platform managers and designers to promote consumer commitment and online review engagement by prioritizing the platform design.

The advent of online live streaming platforms (OLSPs) and online health communities (OHCs) has expedited the integration of traditional medical services with Internet new media technology. Since the practice of physicians conducting live streaming is a relatively new phenomenon, the potential cross-platform effects of such physicians’ live streaming have not received adequate attention.

This study collected data from 616 physicians specializing in cardiology, obstetrics and gynecology and neurology between April and November 2022 on Live.Baidu.com and WeDoctor.com. It constructed a panel data set comprising a total of 4,928 observations over an 8-month period and validated the model using empirical analysis with the fixed-effects method.

We find evidence of cross-platform influence in online healthcare. Physicians’ live streaming behavior (whether live or not and the heat of their streams) on OLSPs positively impacts both their consultation and reputation on OHCs. Additionally, physicians’ ability positively moderates the relationships between live streaming heat and their performance (in terms of consultation volume and reputation) on OHCs. However, ability does not moderate the relationship between physicians’ live streaming status (live or not) and their performance (in terms of consultation and reputation) on OHCs. Furthermore, the attractive appearance of the physicians also significantly moderates the impact in a positive way.

This is one of the pioneering studies on physicians’ live streaming. The study offers vital guidance for physicians and patients utilizing dual platforms and holds significant reference value for platform operators (such as OLSPs and OHCs) aiming to optimize platform operations and for the government in policy formulation and industry regulation.

Security education, training and awareness (SETA) programs are the key to addressing “people problems” in information systems (IS) security. Contrary to studies using conventional methods, the present study leveraged an “event” lens and dimensionalized employees' perceptions into three sub-dimensions: perceived novelty, perceived disruption and perceived criticality. Moreover, this research went a step further by examining how pedagogical and communication approaches to a SETA program affect employees' perceptions of the program. This study then investigated whether – and if so, how – these approaches impact employees' perceptions of the SETA program and their subsequent commitment to it.

Utilizing a factorial-based scenario survey, this study empirically tested a model of the above relationships via covariance-based structural equation modeling.

The results of this research showed that pedagogical approaches were more effective than communication approaches and that employees' perceptions of the SETA program accounted for a large variance in their commitment to SETA.

First, this research deepens understanding of the protection of information assets by elaborating on the different approaches that organizations can take to encourage employees' commitment to SETA. Second, the study enriches the SETA literature by theorizing a SETA program as an organizational “event”, which represents a major shift from the conventional approach. Third, the study adds to the theoretical knowledge of the event lens by extending it to the SETA context and investigating the relationship among three event strength components.

This paper aims to examine how customers encounter consumption-based evolution between mobile and offline platforms together with temporal and crossover effects. Counter to research on customer satisfaction theory, which shows that satisfaction directly affects loyalty, the authors show that when shopping between mobile and offline platforms, customers differently evaluate loyalty compared to the traditional satisfaction and loyalty approach. Also, customers differently evaluate three types of service quality from online to offline (O2O) platforms and response dynamically to firm satisfaction and loyalty.

This study tests temporal, carryover and crossover effects using longitudinal data sets.

From crossover loyalty shifts, the findings show that the relationship between offline provider satisfaction (OS) and mobile provider loyalty (ML) during consumption periods is consistently significant with similar impact. However, mobile provider satisfaction (MS) during the same periods does not impact offline provider loyalty (OL) in the same manner, but differs considerably in terms of pattern of influence. Specifically, the findings show that this crossover effect increases over time even though statistical impact is insignificant. Thus, the carryover loyalty shift has a positive impact when it originally occurs in the offline platform but differs significantly when it originates via the mobile platform. Practical implications – this study offers valuable guidance to managers on how O2O platform-centric firms try to enhance satisfaction with consumption system that links to three types of service quality and loyalty.

This study offers valuable insights into offline and ML. This is seen, however, as an experimental study and further research using the same method would enable cross-cultural comparators.

Insights can be drawn from the findings, enabling comparisons relative to service quality-satisfaction-loyalty linkage across dual platforms. The idea of evolution and progression over time is particular pertinent to business practice assuming data sets are gathered, maintained and analyzed.

Insights can be used from the research findings, including but not limited to comparing the service quality-satisfaction-loyalty linkage across dual platforms and providing firms with an explanation of temporal evolution.

The purpose of this paper is to whether competition between platforms can be effective, thus leading to efficient allocations.

Based on the classic linear Hoteling model, this paper builds a two-period competition model for two competing platforms using two variants, namely, a discrimination pricing model and a unified pricing model.

In the case of the discrimination pricing model, the competition is moderate, and the two platforms split the market evenly in the first stage, while both platforms tended to offer preferential treatment to new users and set higher prices for regular customers in the second stage. Compared to the unified pricing model, in the first stage, the platform can provide a higher price that depends on the cross-network effect when it implements discrimination, and thus, obtains higher profits. However, in the second stage, fierce competition leads to the release of benefits, new and regular customers obtain lower prices and the platforms lose higher profits. In the long-run, discriminatory pricing is not the best option due to lower total profits. The two platforms will implement cooperative pricing or one platform becomes dominant.

Instead of focusing on the cross-network effects, this paper emphasizes the role of the same-side network effect on price discrimination regarding the platforms’ competition. The same-side network effects are investigated in relation to a discrimination pricing strategy and compared to a unified pricing strategy. Another innovative aspect is the study of these network effects in a dynamic setting based on a two-period competition model for two platforms.

This paper aims to combine the social–technical systems and social exchange theories with the resource-based view of the firm, to investigate how business-to-business (B2B) service firms manage their social and technical resources to manage customer relationships.

An online survey-based study with 321 managers working in Australian small and medium (SME) firms is used to test hypotheses about the sequential and substitutional impact of four social and technical resources (service quality, satisfaction, trust and commitment) on customer loyalty, using both offline and online platforms.

The findings show that both social and technical chains of effects are viable channels for B2B service firms to build customer loyalty; however, mixing of both social and technical resources results in the weakening of both these chains.

The results based on B2B service relationships between Australian SME firms and their banks may not be generalizable to other contexts.

This research would help managers in B2B service firms understand the pitfalls of combining their social and technical resources because it may hamper their ability to build customer loyalty. Hence, they need to learn how to synergize their marketing resources across both offline and online platforms to achieve optimal results.

This research introduces social and technical chains of effects as a novel way to examine the ability of B2B service firms to optimize their social and technical resources in a synergistic manner to build and nurture stronger customer relationships.