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The purpose of this paper is to introduce a method for (re)designing complex logistics networks, which interact with various governmental bodies (e.g. in FDA and USDA) for regulatory clearance and control purpose. The method (the e³‐control methodology) is demonstrated to be a useful approach to analyzing and redesigning international logistics procedures in reaction to a technological innovation in a government‐business (G2B) network.

An action research method relying on Living Lab study was used in this research. To illustrate and better understand the application of the e³‐control methodology, the authors place the development of e³‐control as a design tool for deploying the pharmaceutical case. The authors collected data with multiple methods including workshops, semi‐structured interviews and document analysis.

The e³‐control methodology has been successfully applied in this paper to carry out a step‐by‐step redesign for an international pharmaceutical logistics network. It was found that a win‐win situation can be achieved if business and government see each other as partners and share the responsibility of carrying out government regulatory and Customs controls. In this situation, Customs administrations can be relieved from redundant control tasks, and businesses will be rewarded with simplified procedures.

The authors' e³‐control methodology is an innovative redesign methodology for analyzing and redesigning business logistic networks including government agencies. With this approach, one can achieve a clear overview on critical problems within the logistics chains; disclose unclear procedures and in the meanwhile take into consideration the different concerns of the partners within the network.

The present paper aims to explore the antecedents and consequences of social media marketing (SMM) subsets on consumers’ purchase intentions of Indonesian airline products and services. We propose a research framework to empirically test the influence and interaction of factors, including entertainment (ENT), and interaction (INT) through the effect of trust (TR), and perceived value (PV) as mediators on purchase intention (PI).

The study employs an online survey to collect data. We collect 301 qualified questionnaires and employ structural equation modeling (SEM) to test the proposed model. The research findings enrich our understanding of the mediating role of TR and PV. Trust and perceived value significantly mediate the relationship between SMM factors and PI during initial stages of decision-making toward purchasing airline products and services.

Research findings provide support for most hypotheses regarding the significant influence of the variables proposed in the model. Furthermore, trust mediates the relationship between two of the SMM factors (INT and ENT) and purchase intention. Notably, perceived value mediates the link between entertainment and purchase intention.

This study successfully offers a model to examine the influence of social media marketing on Indonesian consumers’ purchasing intentions of airline products and services. Social media marketing components progressively impact the fundamentals of purchase intention, creating a new marketing communication style. These changes generate new opportunities and challenges for companies. This study provides a better understanding of how social media factors influence Indonesian consumers’ initial decision to purchase airline products and services.

This chapter addresses social embeddedness effects on ex ante management of economic transactions. We focus on dyadic embeddedness, that is the history of prior transactions between business partners and the anticipation of future transactions. Ex ante management through, for example, contractual arrangements is costly but mitigates risks associated with the transaction, such as risks from strategic and opportunistic behavior. Dyadic embeddedness can reduce such risks and, hence, the need for ex ante management by, for instance, making reciprocity and conditional cooperation feasible. The chapter presents a novel theoretical model generating dyadic embeddedness effects, together with effects of transaction characteristics and management costs. We stress the interaction of the history of prior transactions and expectations of future business. Hypotheses are tested using new and primary data from an extensive survey of more than 900 purchases of information technology (IT) products (hard- and software) by almost 800 small- and medium-sized enterprises (SMEs). Results support, in particular, the hypotheses on effects of dyadic embeddedness.

This study aims to generate additional insights into the relationship between knowledge sharing (KS) and psychological safety (PS) in an inter-organisational arrangement through the lens of the knowledge-based view and PS theory.

A relational data survey was designed to collect systematic information from key actors in two manufacturing organisations. The questionnaire assessed KS as the dependent variable and four independent variables – three behavioural (respect, tolerance, trust) and one contextual (suitable working environment) – as proxies of PS. The multiple regression quadratic assignment procedure was used to analyse the effect of PS on KS.

This paper strengthens the findings of previous studies that identify PS as a relevant antecedent of KS in organisations. Additionally, the paper also suggests that a relational approach is more relevant to understand PS as a group concept measured through networks of respect, tolerance, trust and suitable working environments.

This study may help managers identify ways in which they can strengthen the work-related relationships when such behavioural and contextual variables occur in inter-organisational arrangements, and thus obtaining additional relational rents based on an increase in KS.

This study contributes to the literature on how KS in organisations is driven by behavioural and contextual variables that can be operationalised as PS. Moreover, this study expands the understanding of previous research on PS by taking a relational approach to its conceptualisation and measurement within a Latin American context.

The purpose of this paper is to develop and empirically test a model that examines the relationship between post-adoption self-efficacy, satisfaction, and loyalty in the usage of mobile shopping applications.

A structured questionnaire was used to collect data from respondents who had used mobile shopping applications to make purchases. Data analysis was done using partial least square structural equation modelling.

The results show that self-efficacy and satisfaction have a positive impact on continuance intention; however, the same may not lead to advocacy. The results also show that some antecedents of self-efficacy and satisfaction at the post-adoption stage differ from the pre-adoption intention stage.

The findings of the study provide a better understanding of the factors likely to influence loyalty among customers using mobile shopping applications. The findings also provide valuable insights into the factors that e-retailers need to focus to build self-efficacy among their customers using mobile interface.

The contribution of the paper lies in eliciting the differences between customer choice model at the pre-adoption and post-adoption stage for mobile shopping. Furthermore, the study demonstrated the role of a cognitive factor of self-efficacy in loyalty at the post-adoption stage that is pre-dominantly researched with affective factor of satisfaction.