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The study focuses on how to build long-term relationships with multi-channel agencies (MCAs) (dealers) who serve multiple manufacturers on a non-exclusive basis in a business-to-business (B2B) market. This study looks at the framework of relational benefits-commitment-long term orientation in a business-to-business context.

Data were collected from MCAs of three leading companies in the food distribution business. The survey used established scales to measure the relational benefits (core, operational, social and special treatment), commitment (affective and calculative) and long-term orientation (LTO).

The findings of the study show that core, social and special treatment benefits influence calculative commitment, and operational and special treatment benefits influence affective commitment. The study also supports that calculative and affective commitment play an important role in understanding the loyalty of MCAs.

The research examines how relational benefits impact commitment and loyalty among MCAs and manufacturers, in a non-exclusive relationship, in the business-to-business environment. This study incorporates social exchange theory (SET), relational benefits paradigm and commitment and long-term orientation in its framework and tests it within the food distribution industry. This study is the first of its kind to examine the effects of relational benefits on MCAs behavior in a food supplier–buyer setting.

The purpose of this paper is to conceptualise a framework that integrates information quality, system quality, function quality, and social influence based on the information system (IS) success model, to explore the relationship among these factors, which might be the key determinants of Facebook educational usage intention.

An internet survey was conducted to collect empirical data from 221 Facebook users on their experiences of using Facebook. This study applied structural equation modeling (SEM) to demonstrate the proposed model’s construct relations and multiple group analysis.

The results of this study show that social influence and information quality are critical and direct determinants that affect users’ continuous intention to use Facebook in learning; social influence also indirectly affect Facebook usage intention through the mediating effect of information quality. Except the path between social influence and usage intention in age subgroups, the relationships among these determining factors in the proposed model are stable, and there were no significant differences among gender subgroups and age subgroups examined using the multiple group comparison test.

The findings provide a better understanding of the IS success model that influences the Facebook educational usage intention for researchers and practitioners.