The Influence of Farmers’ Socio-Economic Characteristics on Their Choice of Opinion Leaders: Social Knowledge Systems

Smallholder farmers’ social knowledge systems are evolving in connecting key actors within and outside their knowledge systems. These key actors play a vital role in navigating the complexity and the dynamics of organisations, and effectively influence the community. This study identified the opinion leaders of smallholder farmers and measured the extent of their influence on the quality of these farmers’ knowledge of agriculture. Furthermore, the study explored the reasons why farmers choose their opinion leaders. A structured questionnaire was administered to 219 purposively selected smallholder farmers in the rural areas in KwaZulu-Natal, South Africa. Data were captured and analysed using the Statistical Package for Social Sciences (SPSS) version 26 and STATA to run multinomial logistic regression model (MNL). The results showed that farmers participated in field visits and attended farmers’ group meetings to communicate with agricultural advisors and group leaders. In addition, the findings showed that interactions could be a crucial element of knowledge and learning for farmers. This showed that the farmers required a consistent flow of material resources and knowledge. The time and energy spent by farmers building social relationships with these opinion leaders reflected the accumulation of information and resources gathered. Issues related to accessibility, availability and, quick feedback regarding farmers’ problems emerged, which seemed to influence the farmers’ choice of an opinion leader. The language and accessibility to sources of knowledge and feedback were crucial to the smallholder farmers included in the study. Furthermore, the results revealed that farmers’ educational level, farmers who engaged in agriculture for household consumption, and opinion agricultural skills have statistical significance on farmers’ choice of opinion leaders. Considering the findings, it is suggested that efforts to improve farmers’ active knowledge systems and access to the opinion leaders within these active knowledge systems should take into consideration the socio-economic factors that influence farmers’ choices and participation in social systems and social interactions. These findings may help agents develop a better understanding of the dynamics of local communities and the social complexity that shapes farmers’ environments and decisions. To be a progressive and effective opinion leader, constant, continuous assessment is needed to increase leadership skills. In addition, the enhancement of programmes, which will recognise the active opinion leaders within the communities, are needed to strengthen the efforts and impact for more resilient outcomes.

The Substrate-Independence Theory: Advancing Constructor Theory to Scaffold Substrate Attributes for the Recursive Interaction between Knowledge and Information

The substrate-independence theory utilizes sensemaking techniques to provide cognitively based scaffolds that guide and structure learning. Scaffolds are cognitive abstractions of constraints that relate to information within a system. The substrate-independence theory concentrates on the flow of information as the underlying property of the host system. The substrate-independence theory views social systems as complex adaptive systems capable of repurposing their structure to combat external threats by utilizing constructors and substrates. Constructor theory is used to identify potential construction tasks, the legitimate input and output states that are possible, to map the desired change in the substrate’s attributes. Construction tasks can be mapped in advance for ordered and known environments. Construction tasks may also be mapped in either real-time or post hoc for unordered and complex environments using current sensemaking techniques. Mapping of the construction tasks in real-time becomes part of the landscape, and scaffolds are implemented to aid in achieving the desired state or move to a more manageable environment (e.g., from complex to complicated).

Charging Station Planning for Electric Vehicles

Charging station (CS) planning for electric vehicles (EVs) for a region has become an important concern for urban planners and the public alike to improve the adoption of EVs. Two major problems comprising this research area are: (i) the EV charging station placement (EVCSP) problem, and (ii) the CS need estimation problem for a region. In this work, different explainable solutions based on machine learning (ML) and simulation were investigated by incorporating quantitative and qualitative metrics. The solutions were compared with traditional approaches using a real CS area of Austin and a greenfield area of Bengaluru. For EVCSP, a different class of clustering solutions, i.e., mean-based, density-based, spectrum- or eigenvalues-based, and Gaussian distribution were evaluated. Different perspectives, such as the urban planner perspective, i.e., the clustering efficiency, and the EV owner perspective, i.e., an acceptable distance to the nearest CS, were considered. For the CS need estimation, ML solutions based on quadratic regression and simulations were evaluated. Using our CS planning methods urban planners can make better CS placement decisions and can estimate CS needs for the present and the future.

Stability Assessment of Rock Mass System under Multiple Adjacent Structures

Numerical modeling is important for exploring the fundamental processes occurring in rock and for evaluating the real performance of structures built on and in rock mass system, and thus for supporting the design of rock engineering problems. Estimating the stability of rock mass foundation systems entirely based on a theoretical approach is a complicated task if there exists overlapping of their potential collapse modes. This paper applies finite element limit analysis to evaluate the bearing capacity of equally spaced multiple strip footings resting on rock mass obeying the modified non-linear Hoek–Brown failure criterion. Numerical solutions are expressed in terms of the efficiency factor that is dependent on the spacing between footings, as well as the rock mass properties. In addition, the effects of surface surcharge and footing roughness are quantified. The maximum spacing at which the interfering effect of adjacent footings becomes disappeared is evaluated and an algebraic expression for approximating the maximum spacing is proposed. Failure mechanisms for a few cases of rock mass under multiple strip footings are examined.

Design of an IoT System for the Palletized Distribution Supply Chain with Model-Based Systems Engineering Tools

In recent years, Internet-of-Things technology (IoT) has been the subject of research in diverse fields of applications. IoT plays an essential role in transitioning enterprises towards a more interconnected paradigm of manufacturing, logistics, services, and business, known as Industry 4.0. This paper presents an operational concept for a system that implements IoT technology in pallets, which are used to move products along supply chains. These sensors will help us gain insight into the conditions experienced by products and unit loads. Having this capability will allow us to obtain the information necessary for better control of product distribution along the supply chain, and to design packaging that is more efficient and effective in protecting products during distribution. In this paper, we show how Model-Based Systems Engineering (MBSE) can be leveraged to create models that capture the required system behaviors, and we address the complexity of an IoT system within the domain of packaging and logistics applications.

The Impact of Perceived Interactivity and Intrinsic Value on Users’ Continuance Intention in Using Mobile Augmented Reality Virtual Shoe-Try-On Function

In response to the rapid growth of mobile Internet, online retailers have created better shopping experiences through new technologies. These shopping experiences are the product of the new interaction methods created by new technologies and the intrinsic value of these technologies. To achieve a better understanding of how new technologies improve consumers’ intention to use them continuously, this study established a theoretical model of how consumers’ perceived interactivity affects intrinsic value, which then affects attitudes, and ultimately contributes to the theoretical model. Within the perceived interactivity construct, there is perceived control, personalization and responsiveness, and as part of the intrinsic value construct there is playfulness and aesthetics. The results demonstrate that intrinsic value and perceived interactivity play important roles in predicting consumers’ attitudes and continuance intention to use new technologies applied to mobile e-commerce, but do not include perceived control in perceived interactivity. To highlight the results of this study, relevant enterprises or practitioners may use the findings to design or improve the features of existing mobile apps to provide better services and experiences to consumers based on their internal perceptions.

An Equifinality Energy Management Framework in Terms of Benchmarking Practices and Expectations: The EnerMan Project Outlook

Background: The Industry 4.0 wave is leading the changes in existing manufacturing and industrial processes across the world. This is especially important in the formulation of the smart-factory concept with an outlook to energy sustainable processes. In viewing and identifying the foundational elements of such a transformation, the initial conditions and current practices in a cross-sectoral manner is considered a first, yet crucial step in the EU-funded project EnerMan. Methods: In this paper, we identify and analyse the key common features and characteristics of industrial practices set in a perspective of similar and identical functions with a focus to three key energy areas: sustainability, management, and footprint. The examination of different industrial sector cases is performed via distributed questionnaires and then viewed under the prism of the equifinality state via a text-mining analysis approach. Results: identification of common themes and benchmarking of current practices in a cross-industry manner led to the creation of a common systemic framework within energy management related aspects, which is hereby presented. Conclusions: use of an equifinality approach in energy management practices should be further pursued to open up new methods of ideation and innovation and communicate systems’ design in tandem with each industrial set goals.

An Assessment Framework for the Transformation of Mobility 4.0 in Smart Cities

Investing in digital transformation turns out to be a strategic action to tackle contemporary issues and to improve competitiveness for enterprises. The high variability of options in the digital transformation process enforces a higher complexity level in configuring and setting up objectives and goals based on cities’ needs; hence, a systematic approach is required to assist decision makers for better and sustainable transformation. A reference model is described in this paper to support decision makers with comprehensive assessment data for digital transformation cities transport. The proposed reference model assesses the cities based on digital transformation of transport services to assist policy makers for better decisions in transforming the Mobility 4.0. The proposed model in this study functions as a knowledge-based systematic framework for assessing the capabilities of the cities, diagnosing their needs under given circumstances and identifying the best fitting workflow for digital transformation of urban transportation systems and related services. The reference model takes on board a group of smart city indices with respective assessment criteria in determining a smartness level of transportation components. A conceptual 4-tier smartness scale has been proposed to establish a consistent assessment subject to cities circumstances in many respects. The reference model has been formalised into a mathematical model to characterise the assessments. The mathematical model encompasses strategic assessments by experts to identify priorities of investments in the digitalization process, which are aligned with strategic goals and policies of cities’ management.

Contingencies of Violent Radicalization: The Terror Contagion Simulation

This paper builds confidence in the terror contagion hypothesis that violent radicalization leading to predatory mass violence operates as a system. Within this system, the contingent values of key root causes create channels within which violent ideologies and terrorism emerge. We built a system dynamics simulation model capable of replicating historical reference modes and sophisticated enough to test the contingent values of these propositions. Of 16 propositions, we identified six root-cause propositions that must simultaneously exist, act in concert and explain the dynamics of their interaction which generate a terror contagion. Other propositions can strengthen or weaken an existing contagion but not eliminate it. We use an experiment to demonstrate how changing the contingent values of these propositions creates downward channels. This experiment helps reconcile the swarm vs. fishermen debate over the true root causes of violent radicalization. Within these channels, the contingent values can favor swarm or fishermen manifestations. The simulation and experimentation results enable the future development of the terror contagion hypothesis, provide a testing environment for research on violent radicalization, and provide a pathway to policy development in the combating of terrorism that arises from violent radicalization.

Argumentation Schemes in Technology-Mediated Open Innovation Product-Service Models: An Activity Systems Perspective

The paper uses activity theory for understanding and managing the complexity involved in the transition of a product-service organization from closed to the technology-mediated open mode of innovation. In particular, activity theory is used to facilitate the alignment of the open innovation model adopted with the organization’s dominant argumentation scheme by developing nested representations of the innovation process in the traditional closed mode, as well as in the user-led innovation and user co-creation modes, associated with product- and service-provision operations, respectively. For all cases, we concentrate on the argumentation-in-innovation activity and its context. We arrive at insights about the process of Activity Based Analysis (ABA) in this endeavor and the issues raised through action research in a product-service firm in the food and beverages sector, aiming at adopting an open innovation strategy implemented in the innovation community mode.