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The objective of this study is to address this central question: “What role do ICTs play in reducing poverty?”

First, in this study, we defined poverty in terms of its roots within health, economic development and education. Then, we conducted a systematic review of the information and communication technologies (ICTs) literature. From our analysis, we proposed a series of subsidiary questions and in-depth answers about the impact of ICTs on alleviating health-related, economic and educational causes of poverty.

This study observed positive effects of ICTs on healthcare, economic and educational dynamics and concluded that the development of more advanced infrastructure and greater access to such technology can amplify that impact.

This article explains how applications of ICT across sectors can substantially enhance quality of life and give people an opportunity to take control of their health-related, economic and educational futures. This study uniquely affords an integrative analysis of research and new thought about how to integrate key ICTs for more effective initiatives and investments to reduce poverty.

This paper aims to empirically test a conceptual model, analysing the effects that features of mobile phone location-based advertising (MLBA) services (customisation, permission and intrusiveness) have on attitudes and purchase intentions, using the theory of interactive advertising. In addition, the moderating effect of receiving such messages at point of purchase (POP) is assessed.

Scenario-based online surveys were used, which manipulated the timing and levels of customisation of the message. Responses were received from 422 “net generation” consumers.

Customisation, permission and intrusiveness all have a direct effect on consumer attitudes towards MLBA messages, and subsequently purchase intention. In addition, receiving such messages at POP strengthens the relationships between intrusiveness and attitudes, but surprisingly weakens the effect of customisation on attitudes.

Future research could consider more widespread product categories and try to measure actual behaviour. There is also potential to investigate mobile relationship marketing.

Through permission, consumers can control the flow of messages and customise the messages they receive. While consumers benefit greatly, managers also gain opportunities through facilitating co-creative functions. These efforts will be in vain, however, if the consumer perceives the messages to be intrusive.

While there is much research that looks at the impact of interactive advertising features on attitudes and behaviour, research has yet to consider these factors in an MLBA context. In addition, it has not considered how providing such messages at POP can influence these relationships.

The purpose of this study is to examine how customers’ perceptions of brands’ social media interactivity impact customer engagement behaviors (CEBs) (e.g. customer purchases, referrals, influence and knowledge) while accounting for the moderating role of brand type and social media platform.

Two separate online surveys (Study 1 (N1) = 341, Study 2 (N2) = 183) were conducted to measure the constructs of interest. Regression analyzes tests research hypotheses; PROCESS Model 1 was used to test the moderating roles of brand type and platform. Further, the pick-a-point approach (i.e. spotlight analysis) was used to probe the interaction terms.

The results indicate that when customers perceive a brand to be highly interactive on social media (vs inactive), they are more willing to buy brand offerings, refer the brand in exchange for monetary incentives, inform their family and friends about the brand on social media and provide feedback and suggestions for improving the brand. Furthermore, the positive impact of perceived social media interactivity on customer purchases, referrals, influence and knowledge varies across brand and social media platform types.

Online surveys using convenience samples were conducted to assess the constructs of interest. Archival data may provide an avenue for further insight. Future research may be able to track actual online customer behavior using such data. Further, researchers are encouraged to corroborate the results found here over time as the winds of social media shift to new platforms.

The results suggest that interacting on social media encourages customers to contribute to brand value directly (through purchasing) and/or indirectly (through referring, influencing and suggesting). While all brands may leverage social media activity for success, the positive impact of perceived social media interactivity on CEBs is particularly impactful for non-global 500 brands. The results also indicate that customers are more willing to add value to the brand through purchases and suggestions when they perceive the brand to be highly interactive on both social media networking sites and the brand’s website. However, they are more willing to promote this brand and influence their social networks about it only when they perceive the brand to be highly (vs less) interactive on its own website.

This study examines the novel issue of the impact of perceived social media interactivity on different CEBs while accounting for the moderating role of the brand and platform used by customers. The results provide value in better understanding the levers through which social media affects performance.

This study aims to investigate the effect of perceived brand interactivity on customer purchases along with the mediating effect of perceived brand fairness. To increase the explanatory power of the model, this study also examines the moderating role of brand involvement.

An online survey was conducted to measure the constructs of interest. The direct, indirect (mediation) and conditional (moderation) effects were evaluated using linear regression, PROCESS Model 4 and PROCESS Model 59, respectively. Further, the Johnson Neyman (also called floodlight analysis) technique was used to probe the interaction terms.

The study results indicate that perceived brand interactivity directly and indirectly (via perceived brand fairness) impact customer purchases. The results also reveal that the positive impact of perceived brand interactivity on perceived brand fairness is greater when brand involvement is lower. In the same vein, the positive impact of perceived brand fairness on customer purchases is greater when brand involvement is lower. However, brand involvement does not moderate the impact of perceived brand involvement on customer purchases.

This study examines the effect of perceived brand interactivity on customer purchases (as a customer engagement behavior) while accounting for the mediating role of perceived brand fairness and the moderating role of brand involvement. The results provide noteworthy theoretical and managerial implications.