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Trust is one of the main pillars of many communication and interaction domains. Computing is no exception. Fog computing (FC) has emerged as mitigation of several cloud computing limitations. However, selecting a trustworthy node from the fog network still presents serious challenges. This paper aims to propose an algorithm intended to mitigate the trust and the security issues related to selecting a node of a fog network.

The proposed model/algorithm is based on two main concepts, namely, machine learning using fuzzy neural networks (FNNs) and the weighted weakest link (WWL) algorithm. The crux of the proposed model is to be trained, validated and used to classify the fog nodes according to their trust scores. A total of 2,482 certified computing products, in addition to a set of nodes composed of multiple items, are used to train, validate and test the proposed model. A scenario including nodes composed of multiple computing items is designed for applying and evaluating the performance of the proposed model/algorithm.

The results show a well-performing trust model with an accuracy of 0.9996. Thus, the end-users of FC services adopting the proposed approach could be more confident when selecting elected fog nodes. The trained, validated and tested model was able to classify the nodes according to their trust level. The proposed model is a novel approach to fog nodes selection in a fog network.

Certainly, all data could be collected, however, some features are very difficult to have their scores. Available techniques such as regression analysis and the use of the experts have their own limitations. Experts might be subjective, even though the author used the fuzzy group decision-making model to mitigate the subjectivity effect. A methodical evaluation by specialized bodies such as the security certification process is paramount to mitigate these issues. The author recommends the repetition of the same study when data form such bodies is available.

The novel combination of FNN and WWL in a trust model mitigates uncertainty, subjectivity and enables the trust classification of complex FC nodes. Furthermore, the combination also allowed the classification of fog nodes composed of diverse computing items, which is not possible without the WWL. The proposed algorithm will provide the required intelligence for end-users (devices) to make sound decisions when requesting fog services.

Most studies on tie strength have focused on its definition, calculation and applications, but have not paid much attention to how tie strength can help analyse online social networks. Because ties play different roles in a network depending on their strength, the purpose of this paper is to explore the relationship between tie strength and network behaviours.

The authors propose a simple metric for tie strength measurement and then apply it to an online social network extracted from a blog network. These networks are massive in size and have technology for efficient data collection, thereby presenting the possibility of measuring tie strength objectively. From the results several key social network properties are studied to see how tie strength may be used as a metric to explain certain characteristics in social networks.

The online networks exhibit all the structural properties of an actual social network, not only in following the power law but also with regard to the distribution of tie strength. The authors noted a strong association between tie strength and reciprocity, and tie strength and transitivity in online social networks.

This paper highlights the importance of analysing online social networks from a tie strength perspective. The results have important implications for the development of efficient search mechanisms and appropriate group leaders in virtual communities.

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

The purpose of this paper, which is the first of a two-part series, is to build upon the established research on environmental economics and sustainability theory developed by Ramsey (1928), Weitzman (2007) and Gollier (2010). The Ramsey-Weitzman-Gollier model, with the contribution of Howarth (2009) and Nordhaus (2007a, b), focuses on discount rate development for environmental and long-term assets, linking discounted utility analysis embedded in the CCAPM model of Lucas (1978) to the policy concerns associated with the valuation of public and sustainable resources. This paper further investigates these issues to the rates structure appropriate for exhaustible resources with a particular emphasis on urban land, based upon the differentiation of strong and weak form sustainability concepts constrained by the objectives of the sustainable criterion of Daly and Cobb (1994).

The paper integrates the concepts of discount rate development for environmental and long-term assets and discounted utility analysis to the policy concerns associated with the valuation of public and sustainable resources. It develops new theoretical insight in order to allow the theoretical formulation of discount and capitalization rates that can be empirically applied and tested.

The paper provides theoretical support for a new approach concerned with the development of capitalization and discount rates in the valuation of non-renewable resources. A key concern of valuing non-renewable or limited resource endowments (in space or time) is the problem of irreversible investment or irrevocable decision implementation as suggested by Arrow-Fisher (1974), Krautkraemer (1985) and Daly and Cobb (1994). It investigates the challenge with developing capitalization rates and valuation of depleting resources temporally, within the constraints of sustainability. To achieve this, an optimal control discounting procedure subject to a sustainable objective statement is employed – in this context it suggests that sustainability should be treated as an alternative to traditional growth and the maximization of near-term returns.

This paper extends the construct of developing rates structures appropriate for the valuation of exhaustible resources. It places a conceptual emphasis on urban land development. The measures developed and the insights gained may serve as a basis for future research on the optimal levels of sustainable development appropriate for different nations.

In the present era, executives are shifting keenly toward industrial Internet of things (IIoTs) spheres. It is observed that IIoTs spheres become a key for each industry to grow up and bear the largest entrepreneurship opportunities globally and is linked to improve the shifting sphere of publics (SSPs). The core objective of research work is SSPs, which is nexus on secondary objectives. The authors proposed the two DSSs ( decision support systems) to full fill secondary objectives as discussing: In case of first objective, the authors proposed a fuzzy-DSS, which assists the executives to identify the weak and poor performing IIoTs spheres so that performance of IIoTs spheres can be accelerated. In case of second objective, grey-DSS aids the same executives to evaluate and benchmark alternative partner under considered IIoTs spheres so that the best partner can be chosen by company 4.0.

The authors conducted the significant systematic literature review and realistic empirical survey in the context of industry IIoTs spheres and extract the appropriate IIoTs spheres. Next, the authors built a framework by compiling the global standardized IIoTs spheres. The framework is utilized to build the two DSSs such as fuzzy- and grey-DSS (to full fill secondary objectives). The both DSSs are simulated by acting on a case study. The authors implemented the fuzzy set coupled with degree of similarity approach on proposing framework as a part of first case-objective and hybrid technique accompanied with grey set on same framework as a part of second case-objective, respectively.

A South African automobile parts manufacturing company is investigated as a case study company 4.0 for the prototype testing and simulation of DSSs. The performance gaps are computed and measured by subtracting each sphere's weight of functional units (FUs) from evaluated ideal weight. The weak performing spheres and FUs are suggested to be improved in future as a part of first objective. Next, A3 parts supplier/partner is advised as the best alternative by simulating the grey-DSS under IIoTs framework as a part of second case-objective. Both secondary objectives (two DSSs) are framed to attain the core objective (SSPs).

As discussed, the core objective of research work is to attain the SSPs, linked to secondary objectives. The research work integrates the knowledge and thinking of SSPs as well as IIoTs researchers to create the novel mathematical and statistical IIoTs in focusing on advance SSPs networks. The research work is momentous for entire Industry 4.0 companies, which troubles to bear more entrepreneurship opportunities (improving the SSPs) at global standard.

The symbol‐based epistemology used in artificial intelligence is contrasted with the constructivist, coherence epistemology promoted by cybernetics. The latter leads to bootstrapping knowledge representations, in which different parts of the system mutually support each other. Gordon Pask’s entailment meshes are reviewed as a basic application of this approach, and then extended to entailment nets: directed graphs governed by the “bootstrapping axiom”, determining which concepts are to be distinguished or merged. This allows a constant restructuring of the conceptual network. Semantic networks and frame‐like representations can be expressed in this scheme by introducing a basic ontology of node and link types. Entailment nets are then generalized to associative networks with weighted links. Learning algorithms are presented which can adapt the link strengths, based on the frequency with which links are selected by hypertext users. It is argued that such bootstrapping methods can be applied to make the World Wide Web more intelligent, allowing it to self‐organize and support inferences.

Quality management requires increasing employee involvement that could empower employees, leading to employee and customer satisfaction. Although the literature describes a picture of increasing job demands and work intensification, the evidence of an association between employee job satisfaction and quality management remains mixed and narrow. The purpose of this paper is to investigate this link in the wider economy, and address the roles of human resource management practices that target direct employee participation (job enrichment and high involvement management) in this relationship.

The Workplace Employment Relations Survey of 2004 (WERS2004) provides information on British workplaces including the use of specific quality and human resource management practices, employees' job satisfaction and other outcomes. Latent variable analysis identifies employers' approaches to quality management, job enrichment and high involvement management. Workplace‐level regression analyses illustrate the link between job satisfaction and various desired organizational outcomes. Hierarchical two‐level regression models are used to assess the link between quality management at workplaces and employee job satisfaction.

Although job satisfaction is positively associated with desired workplace outcomes (organizational commitment, productivity and quality), no significant link between quality management and employee job satisfaction is found. By contrast, a positive association between job enrichment and job satisfaction is confirmed, which may be weakened in the presence of quality management.

Given the potential impact of job satisfaction on organizational outcomes, job enrichment features should not be neglected when designing jobs so that an effective quality management strategy can be in place. Some weak positive association between high involvement and quality managements with perceived job demands is also observed, and this should be further investigated in more detailed studies of employee well‐being.

This is a large empirical study on an economy‐wide sample of workplaces and their employees.

This paper shows that uncertainty is a multidimensional theoretical concept, which has empirical implications for the relationship with vertical integration. In a survey of empirical work that tests the relation between uncertainty and vertical integration, this paper demonstrates that performance ambiguity and general measures of uncertainty are positively related with vertical integration, technological uncertainty is negatively related, while market uncertainty and complexity are not systematically related to vertical integration.

Governments increasingly promote employment through social networks (whether via formal job networks or informal personal networks). However, they rarely account for how weak-tie “bridging” networks and strong-tie “bonding” networks differentially affect employment outcomes. Given criticism that (usually weak-tie bridging-focussed) formal job networks are overly focussed on finding entry-level (i.e. any) jobs, it is imperative to understand the impact of strong and weak ties on securing work with good conditions, or of meaning to the worker. Such links are poorly understood in the present literature. The paper aims to discuss this issue.

This study uses national Australian survey data to assess whether support from close “friends” or distant “acquaintances” is associated with employment outcomes such as finding any work or “meaningful” work.

The results show that relatively distant ties (close acquaintances) and emotional support from friends are each associated with reduced chances of being an unemployed/discouraged worker. Stronger ties (close friends) are associated with better chances of a having a “meaningful” job.

More attention should be paid to tie strength dynamics and meaningful employment outcomes in the delivery of employment services. In particular, a role for active “close-tie brokers” in promoting networks should be investigated, instead of expecting/pushing the unemployed to rely on either extremely close or distant connections.

This is the first study to find a link between network type and meaningful work, which has important implications for the delivery of employment services.

We propose that off-the-job embeddedness (OTJE) be reconceptualized as a separate and distinct, albeit related, construct from job embeddedness. We conceptualize OTJE as the totality of outside-work forces which keep an individual bound to his/her current geographical area and argue that this construct includes important factors which do not fall under the umbrella of “community embeddedness.” Moreover, we propose that these outside-work forces may embed individuals in their jobs either directly or indirectly (through the perceived or expressed preferences of spouses, children, and extended family). This paper identifies the key components of OJTE, addresses the measurement of OTJE, explains the relationships between job embeddedness and OTJE (and their respective components), highlights how OTJE can either amplify or counteract the effects of job embeddedness, and illustrates the direct and indirect effects of OTJE on both work-related and personal outcomes.