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The characteristics of the Internet of Things (IoT) are such that traditional models of trust developed within interpersonal, organizational, virtual and information systems contexts may be inappropriate for use within an IoT context. The purpose of this paper is to offer empirically generated understandings of trust within potential IoT applications.

In an attempt to capture and communicate the complex and all-pervading but frequently inconspicuous nature of ubiquitous technologies within potential IoT techno-systems, propositions developed are investigated using a novel mixed methods research design combining a videographic projective technique with a quantitative survey, sampling 1,200 respondents.

Research findings suggest the dimensionality of trust may vary according to the IoT techno-service context being assessed.

The contribution of this paper is twofold. First, and from a theoretical perspective, it offers a conceptual foundation for trust dimensions within potential IoT applications based upon empirical evaluation. Second, and from a pragmatic perspective, the paper offers insights into how findings may guide practitioners in developing appropriate trust management systems dependent upon the characteristics of particular techno-service contexts.

Following the rapid shift to online learning due to COVID-19, this paper aims to compare the relative efficacy of face-to-face and online university teaching methods.

A scoping review was conducted to examine the learning outcomes within and between online and face-to-face (F2F) university teaching programmes.

Although previous research has supported a “no significant difference” position, the review of 91 comparative studies during 2000–2020 identified 37 (41%) which found online teaching was associated with better learning outcomes, 17 (18%) which favoured F2F and 37 (41%) reporting no significant difference. Purpose-developed online content which supports “student-led” enquiry and cognitive challenge were cited as factors supporting better learning outcomes.

This study adopts a pre-defined methodology in reviewing literature which ensures rigour in identifying relevant studies. The large sample of studies (n = 91) supported the comparison of discrete learning modes although high variability in key concepts and outcome variables made it difficult to directly compare some studies. A lack of methodological rigour was observed in some studies.

As a result of COVID-19, online university teaching has become the “new normal” but also re-focussed questions regarding its efficacy. The weight of evidence from this review is that online learning is at least as effective and often better than, F2F modalities in supporting learning outcomes, albeit these differences are often modest. The findings raise questions about the presumed benefits of F2F learning and complicate the case for a return to physical classrooms during the pandemic and beyond.

The purpose of this paper is to ease the methodological application of critical realist multilevel research in business marketing. Although there has been plenty of theoretical contributions in this field, it is not always clear how critical realism can be best applied in business marketing settings. Accordingly, this paper addresses this gap in literature. Also, this paper addresses the calls for a multilevel conceptualization for resilience, based on the critical realist laminated systems.

This is a conceptual paper, which uses pre-existing literature to develop a critical realist methodological approach for the purposes of multilevel business marketing research. The contribution is based on literature by combining pre-existing ideas in a new way in the context of business marketing.

This paper makes a methodological contribution by introducing the critical realist “laminated systems” to business marketing as a multilevel research approach. Furthermore, the authors conceptualize a specific laminated model, the Laminated Interactional Model (LIM), that is designed for the purpose of business marketing research. The LIM is a methodological tool that conceptualizes business marketing based on six levels of analysis, easing the methodological application of critical realism in business marketing settings. In addition, to provide an example, the authors apply the LIM to the literature on resilience, providing a multilevel conceptualization. This is a timely contribution, as resilience has emerged as a central concept addressing interorganizational survival during the COVID-19 pandemic.

This paper makes three main contributions to business marketing. First, this paper provides a methodological contribution by introducing the critical realist notion of “laminated systems” to business marketing. Second, this paper conceptualizes a specific laminated model for business marketing, namely, the LIM. Third, as a response to the COVID-19 pandemic, this paper will apply critical realism and the LIM to the notion of resilience, addressing the calls for multilevel conceptualizations.

The main purpose of this paper is the identification of the conceptualization of trust as well as its factors and outcomes in interorganizational relations in mobile supply chains (MSCs) in which multiple stakeholders collaborate.

The authors first used a comprehensive literature review to extract related factors and outcomes of trust. Second, the authors conducted semi-structured interviews in chemical and pharmaceutical companies in Germany. These organizations stand out as leaders in the concept of MSCs and have developed collaborations with various stakeholders.

Based on the results, a conceptual model has been developed that elaborates on the nature of trust and its factors and outcomes for cultivating trustful stakeholder collaboration. The study identifies six factors or approaches for building trust and two outcomes resulting from mutual trust.

The conceptual model presented in this study can serve as a basis for developing trust in MSCs. Interorganizational collaborations in MSCs are more successful when saturated with trust. The collaboration systems must allow the innovative organizations to create value through the adaptation of advanced technologies without failure.

The study adds to the body of knowledge in building trust in multiple stakeholder collaboration, particularly in innovative organizations which are involved with disruptive technologies.

由眾多股東共同協作的移動供應鏈内存在著一定的互信。本文主要的目的在闡明這種互信的概念，並確定就組織間之關係而言，帶來互信的因素及因互信而產生的效果。

作者們首先透過全面的文獻探討，從中提取帶來互信的相關因素，和因互信而產生的效果。作者們接著在位於德國的化工及製藥公司內進行半結構式訪談。這些組織及公司就移動供應鏈的概念而言，在同業中脫穎而出，成為領導者，並與各股東建立了合作夥伴的關係。

作者們根據研究結果、建立了一個概念模型。這模型闡述了互信的性質，互信的因素，以及在股東間培育互信合作關係的效果。研究亦確定了建立互信六個相關因素/方法，和兩個因互信而產生的效果。

本研究在現時相關的領域上、加深了我們對多個股東共同協作上建立互信的瞭解，特別是涉及破壞式技術的創新型組織。

本研究所展示的概念模型可作為在移動供應鏈內建立互信的基礎和依據。若移動供應鏈內的各個組織間充滿著互信，則相互的協作定必更成功。共同協作的機製必須能為創新型組織透過無誤地改編先進技術去創造價值。

The purpose of this study is to develop a model of a starting situation for relationship initiation in turbulent business networks.

The study is designed as an extreme single case study that takes its point of departure in a company’s bankruptcy in the Swedish automotive industry.

This study illustrates how a new business relationship can start from a resource combination previously controlled by one actor (i.e. a single company) in a turbulent business network, thereby bringing nuances to the common understanding that new relationships start in stable business networks where resource combinations are developed between actors in established business relationships.

Previous studies have stated that the development of a mutual orientation between actors leads to the formation of a business relationship. The business relationship then leads to resource adaptations between the two companies. The developed model, however, illustrates that this pattern can be reversed in situations of turbulence. Hence, previously adapted resources might lead to the formations of a business relationship. Based on this observation, the authors argue that there are reasons to question if previous models of business relationship initiation and development in business networks are adequately equipped for analysis in turbulent business networks.