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With the advancement of digital transformation, it is important for e-retailers to use artificial intelligence (AI) for customer engagement (CE), as CE enables e-retail brands to succeed. Essentially, AI e-marketing (AIeMktg) is the use of AI technological approaches in e-marketing by blending customer data, and Retail 4.0 is the digitisation of the physical shopping experience. Therefore, in the era of Retail 4.0, this study investigates the factors influencing the use of AIeMktg for transforming CE.

The primary data were collected from 305 e-retailer customers, and the analysis was performed using a quantitative methodology.

The results reveal that AIeMktg has tremendous applications in Retail 4.0 for CE. First, it enables marketers to swiftly and responsibly use data to anticipate and predict customer demands and to provide relevant personalised messages and offers with location-based e-marketing. Second, through a continuous feedback loop, AIeMktg improves offerings by analysing and incorporating insights from a 360-degree view of CE.

The main contribution of this study is to provide theoretical underpinnings of CE, AIeMktg, factors influencing the use of AIeMktg, and customer commitment in the era of Retail 4.0. Subsequently, it builds and validates structural relationships among such theoretical underpinning variables in transforming CE with AIeMktg, which is important for customers to expect a different type of shopping experience across digital channels.

This study aims to examine the impact of mobile interactivity dimensions (active control, personalization, ubiquitous connectivity, connectedness, responsiveness and synchronicity) on customer engagement.

A quantitative field survey study was conducted to collect the required data from actual users of mobile shopping in three countries: Jordan, the United Kingdom (UK) and Saudi Arabia.

The results are based on structural equation modelling and support the impact of five dimensions of mobile interactivity: active control, personalization, ubiquitous connectivity, responsiveness and synchronicity. The impact of connectedness is not supported. The results also support the significant impact of customer engagement on customer loyalty.

This study only considered the shopping activities conducted by mobile channels, while other channels (e.g., online channels, traditional channels and social media shopping channels) are not considered. Furthermore, the current model does not consider the impact of personal factors (e.g., technology readiness, self-efficacy and user experience). The results of the current study present a foundation that can guide marketers and practitioners in the area of mobile shopping.

This study enriches the current understanding of the impact of mobile interactivity on mobile shopping, as well as how mobile interactivity can enhance the level of customer engagement.

The purpose of this paper is to develop an integrated framework to explore the influences of electronic customer relationship management (ECRM) success factors (process fit, customer information quality and system support) on customer satisfaction, customer trust and customer retention, which, in turn, impact upon the business financial performance of Jordanian commercial banks in Amman city.

Using a sample of 343 branch managers, assistant branch managers and heads of departments in Jordanian commercial banks, who answered a self-administrated questionnaire, data were collected and analysed using structural equation modelling (AMOS 17.0).

The results showed that the ECRM success factors (process fit, customer information quality and system support) positively affected customer satisfaction, customer trust and customer retention. Furthermore, the authors discovered that customer satisfaction and customer trust positively influenced customer retention. It was determined that customer satisfaction, customer trust and customer retention positively impact on a business’s financial performance.

Previous research lacks the link between ECRM success factors and business performance (financial and non-financial).

This research aims to investigate the link between social media marketing (SMM) activities and brand love. It further investigates the mediating impact of self-expressive brands (inner and social) between the relationships of SMM activities and brand love, which in turn impact brand loyalty. Using the context provided by Facebook, the author contributes in three ways to the nascent marketing literature: by linking SMM activates with brand love, by investigating the mediating impact of self-expressive brands between SMM activities and brand love and by investigating the impact of brand love on brand loyalty.

Using a sample of 400 followers of Facebook pages, data were collected and analyzed using structural equation modeling.

The findings reveal that SMM activities positively affect self-expressive brands (inner and social), which in turn impact brand love. The author also finds that brand love positively affects brand loyalty. The author further finds that self-expressive brand (inner) fully mediates the relationship between SMM activities and brand love, whereas self-expressive brand (social) partially mediates this relationship.

Previous researchers neither have the chance to link SMM activities with brand love nor to explain its role as an antecedent to self-expressive brand. Therefore, the author contributes to nascent literature by linking and investigating the mediating impact of self-expressive brands between the relationships of SMM activities and brand love which in turn impact brand loyalty.

Mobile device users are frequently faced with a decision to allow access to their personal information that resides on their devices in order to install mobile applications (apps) and use their features. This paper examines the impact of satisfaction on the intention to allow access to personal information. The paper achieves this by acknowledging the affective and cognitive components of satisfaction derived from affect heuristic and privacy calculus theories, respectively.

Survey data was collected from mobile device users who download and install mobile apps on their devices. Overall, 489 responses were collected and analyzed using LISREL 8.80.

The findings suggest that personal information disclosure decision is mainly a matter of being satisfied with the mobile app or not. We show that perceived benefits are more critical than perceived risks in determining satisfaction, and that perceived benefits influence intention to allow access to personal information indirectly through satisfaction.

This study offers a more nuanced analysis of the influence of satisfaction by examining the role of its two components: the cognitive (represented in perceived benefits and perceived risks) and the affective (represented in affect). We show that information disclosure decision is a complicated process that combines both rational and emotional elements.