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Academics and practitioners have long acknowledged the potential of multiagent systems (MAS) to automate and autonomize decision-making in logistics and supply chain networks. Despite the manifold promises of MAS, industry adoption is lagging behind, and the exact benefits of these systems remain unclear. This study aims to fill this knowledge gap by analyzing 11 specific MAS use cases, highlighting their benefits, clarifying how they can help enhance logistics network resilience and identifying existing barriers.

A three-stage Delphi study was conducted with 18 industry experts. In the first round, these experts identified 11 use cases of MAS and their potential benefits, as well as any barriers that could hinder their adoption. In the second round, they assessed the identified use cases with regard to their potential to enhance logistics network resilience and improve organizational productivity. Furthermore, they estimated the complexity of MAS implementation. In the third round, the experts reassessed their evaluations in light of the evaluations of the other study participants.

This study proposes 11 specific MAS use cases and illustrates their potential for increasing logistics network resilience and enhancing organizational performance due to autonomous decision-making in informational processes. Furthermore, this study discusses important barriers for MAS, such as lack of standardization, insufficient technological maturity, soaring costs, complex change management and a lack of existing use cases. From a theoretical perspective, it is shown how MAS can contribute to resilience research in supply chain management.

The identification and assessment of diverse MAS use cases informs managers about the potential of this technology and the barriers that need to be overcome.

This study fills a gap in the literature by providing a thorough and up-to-date assessment of the potential of MAS for logistics and supply chain management. To the best of the authors’ knowledge, this is the first study to investigate the relevance of MAS for logistics network resilience using the Delphi method.

A conceptual framework of supply chain volatility (SCV) is developed to help researchers and practitioners converge their discussions and understandings on this vital phenomenon. Sources, dimensions and moderators of SCV are investigated and a conceptual framework is proposed. The paper aims to discuss these issues.

Data triangulation was performed through reviewing 2,789 peer-reviewed articles and conducting a group exercise with 23 practitioners. Consequently, 364 sources were identified. Through a structured synthesis process that built on the Q-methodology with multiple academics, a framework of meta-level sources, dimensions and moderators of SCV was developed. An additional on-site meeting with 17 practitioners was conducted aiming at delineating the dimensions by their effect on SCV.

The authors propose 20 meta-level sources that contribute to five distinct dimensions of SCV, proposing behavior of customers and decision makers as contextual moderating variables. A classification scheme consisting of three descriptive SCV-affecting characteristics is proposed to delineate the dimension’s effect on SCV: relative deviating impact, repetitiveness and influenceability. Results are summarized in 15 propositions.

The paper extends knowledge on SCV and provides a coherent conceptualization of the phenomenon for future research. The proposed framework demands quantitative testing to derive more reliable conclusions.

The framework aims at reducing the gap between research and practice. It helps managers to understand researchers’ discussions and how to derive expedient implications from them.

It is the first study that systematically synthesizes widely spread literature in this field to derive a conceptual framework that seeks to explain SCV in a holistic way.

Professional training courses play an important role for higher education instructors and their teaching quality. However, participants strongly differ in how much they learn in these courses. The present study seeks to explain these differences by focusing on attention as a central aspect of their behavioral engagement that can stem from participants' achievement motivations.

The authors investigated the attention of participants in full-day higher education professional training courses and how differences therein are associated with their achievement goals. Prior to course participation, 117 university instructors (49.6% male, 79.5% with PhD, average age 31.4 years) reported their achievement goals. Using an adapted observational instrument (Hommel, 2012a), two raters subsequently observed and coded the participants' attention during the course (ICC2 = 0.83).

The results documented very high attention levels, although with substantial interindividual differences. Multilevel analyses indicated that learning goals positively and work avoidance goals negatively predicted observed attention.

The findings provide insight into the value of an observational approach to measuring a fundamental aspect of learning engagement, and contribute to the understanding of interindividual differences in an important higher education learning environment. The study illuminates the relevance of personal predictors for university instructors' successful learning. Specifically, the findings point to the significance of goals as a relevant, but surprisingly hitherto uninvestigated, premise of learning engagement.

This paper aims to present an interpolating element-free Galerkin (IEFG) method for the numerical study of the time-fractional diffusion equation, and then discuss the stability and convergence of the numerical solutions.

In the time-fractional diffusion equation, the time fractional derivatives are approximated by L1 method, and the shape functions are constructed by the interpolating moving least-squares (IMLS) method. The final system equations are obtained by using the Galerkin weak form. Because the shape functions have the interpolating property, the unknowns can be solved by the iterative method after imposing the essential boundary condition directly.

Both theoretical and numerical results show that the IEFG method for the time-fractional diffusion equation has high accuracy. The stability of the fully discrete scheme of the method on the time step is stable unconditionally with a high convergence rate.

This work will provide an interpolating meshless method to study the numerical solutions of the time-fractional diffusion equation using the IEFG method.

Although brands have developed mobile applications (apps) to offer consumers new experiences, low app usage numbers indicate the need to develop a systematic, practical evaluation framework for branded app design that specifies concrete design features.

An expert review provides an overview of the design of current branded apps. On the basis of an extensive literature review, this article classifies state-of-the-art design features for branded apps according to a proposed evaluation framework that includes human–computer interaction (HCI)–related and marketing-related evaluation criteria. In an application of these evaluation criteria, the authors evaluate 73 branded apps issued by 11 top fast-moving consumer goods (FMCG) brands.

The expert review identifies strengths and weaknesses that are common to the design of current branded apps. These findings inform the set of design recommendations that this article offers, which includes 14 features common to all types of apps and 9 features specific to particular types of apps.

This research offers practical implications for app designers, who need to address design dimensions contained in the proposed framework including the HCI-related (mobile, social and user experience design features) and marketing-related (branding and customer relationship management design features) to create effective branded apps.

Design elements identified in prior literature remain abstract and do not prescribe a systematic or pragmatic approach to using them in practice. This study takes a multidisciplinary perspective (HCI, marketing and design science) to establish a practical evaluation framework for branded app designs.

This paper aims to explore the relevant literature available regarding the use of repetitive transcranial magnetic stimulation (rTMS) as a mode of treatment for obsessive-compulsive disorder (OCD); to evaluate the evidence to support the use of rTMS as a treatment option for OCD.

The authors electronically conducted data search in five research databases (MEDLINE, CINAHL, Psych INFO, SCOPUS and EMBASE) using all identified keywords and index terms across all the databases to identify empirical studies and randomized controlled trials. The authors included articles published with randomized control designs, which aimed at the treatment of OCD with rTMS. Only full-text published articles written in English were reviewed. Review articles on treatment for conditions other than OCD were excluded. The Covidence software was used to manage and streamline the review.

Despite the inconsistencies in the published literature, the application of rTMS over the supplementary motor area and the orbitofrontal cortex has proven to be promising in efficacy and tolerability compared with other target regions such as the prefrontal cortex for the treatment of OCD. Despite the diversity in terms of the outcomes and clinical variability of the studies under review, rTMS appears to be a promising treatment intervention for OCD.

The authors of this scoping review acknowledge several limitations. First, the search strategy considered only studies published in English and the results are up to date as the last day of the electronic data search of December 10, 2020. Though every effort was made to identify all relevant studies for the purposes of this review per the eligibility criteria, the authors still may have missed some relevant studies, especially those published in other languages.

This review brought to bare the varying literature on the application of rTMS and what is considered gaps in the knowledge in this area in an attempt to evaluate and provide information on the potential therapeutic effects of rTMS for OCD.