Search results

The purpose of this paper is to present a business process measurement framework for the evaluation of a corpus of business processes modelled in different business process modelling approaches. The results of the application of the proposed measurement framework will serve as a basis for choosing business process modelling approaches.

The approach uses ideas of the goal question metric framework to define metrics for measuring a business process where the metrics answer the questions to achieve the goal. The weighted sum method (WSM) is used to aggregate the measure of attributes of a business process to derive an aggregate measure, and business process modelling approaches are compared based on the evaluation of business process models created in different business process modelling approaches using the aggregate measure.

The proposed measurement framework was applied to a corpus of business process models in different business process modelling approaches and is showed that insight is gained into the effect of business process modelling approach on the maintainability of a business process model. From the results, business process modelling approaches which imbibed the principle of separation of concerns of models, make use of reference or base model for a family of business process variants and promote the reuse of model elements performed highest when their models are evaluated with the proposed measurement framework. The results showed that the applications of the proposed framework proved to be useful for the selection of business process modelling approaches.

The novelty of this work is in the application of WSM to integrate metric of business process models and the evaluation of a corpus of business process models created in different business process modelling approaches using the aggregate measure.

The purpose of this paper is to present the case for an analysis of communication at the supra-individual level as a means of rendering the understanding of learning and acting tractable. The paper introduces a method of analysis of redundancy to achieve this.

The paper argues for a supra-individual approach to acting, learning, and understanding against focusing on an individual or quasi-transcendental “observer”. The argument is outlined in four steps: first, articulation of the dynamics of the communication system; second, consideration of the redundancies of expectations within communication; third, the computation of anticipation which enables the authors to model meaning processing; and fourth the feedback of meaning processing on information processing can be measured as redundancy. Anticipated future states can reflexively drive reconstructions in meaning-processing systems.

The social system can be considered as a symbolic order of coordination mechanisms. Reflexive agency can access this order and partake in it. However, expectations and their structures do not “exist”, but remain uncertain with the status of hypotheses. Historical embodiment in intentional action is structurally coupled to the order of expectations. The historical instantiations condition and enable the further development of the expectations as a retention mechanism.

The modelling and measurement of meaning processing in terms of inversion of the arrow of time and the generation of redundancy provide extensions to the mathematical theory of communication.

Knowledge redundancy is a powerful concept in understanding supply chain performance including supply chain value creation and competitive advantage. This paper argues that knowledge redundancy is not about “redundancy” that might suggest a waste or duplication of knowledge. In contrast, knowledge redundancy between adjacent members of the supply chain is critical to superior supply chain performance. The paper examines the tacit and explicit nature of knowledge and knowledge redundancy in supply chains. It develops a conceptual model and a series of propositions that argue that managing knowledge redundancy in the context of supplier‐related factors, firm‐related factors, and interface‐related factors can bring positive supply chain performance outcomes.

This paper aims to find the minimum possible number of phasor measurement units (PMUs) to achieve maximum and complete observability of the power system and improve the redundancy of measurements, in normal cases (with and without zero injection bus [ZIB]), and then in conditions of a single PMU failure and outage of a single line.

An efficient approach operates adequately and provides the optimal solutions for the PMUs placement problem. The finest function of optimal PMUs placement (OPP) should be mathematically devised as a problem, and via that, the aim of the OPP problem is to identify the buses of the power system to place the PMU devices to ensure full observability of the system. In this paper, the grey wolf optimizer (GWO) is used for training multi-layer perceptrons (MLPs), which is known as Grey Wolf Optimizer (GWO) based Neural Network (“GW-NN”) to place the PMUs in power grids optimally.

Following extensive simulation tests with MATLAB/Simulink, the results obtained for the placement of PMUs provide system measurements with less or at most the same number of PMUs, but with a greater degree of observability than other approaches.

The efficiency of the suggested method is tested on the IEEE 14-bus, 24-bus, New England 39-bus and Algerian 114-bus systems.

This paper proposes a new method for placing PMUs in the power grids as a multi-objective to reduce the cost and improve the observability of these grids in normal and faulty cases.

To operate with high efficiency and minimise the risks of power failures, power systems require careful monitoring. The availability of real-time data is crucial for assessing the performance of the grid and assisting operators in gauging the present security of the grid. Traditional supervisory control and data acquisition (SCADA)-based systems actually employed provides steady-state measurement values which are the calculation premise of State Estimation. More often, however, the power grid operates under dynamic state and SCADA measurements can lead to erroneous and inaccurate calculation results. The introduction of the phasor measurement unit (PMU) which provides real-time synchronised voltage and current phasors with very high accuracy is universally recognised as an important aspect of delivering a secure and sustainable power system. PMUs are a relatively new technology and because of their high procurement and installation costs, it is imperative to develop appropriate methodologies to determine the minimum number of PMUs as well as their strategic placements to guarantee full observability of a power system. Thus, the problem of the optimal PMU placement (OPP) is formulated as an optimisation problem subject to various constraints to minimise the number of PMUs while ensuring complete observability of the grid. In this chapter, integer linear programming (ILP), genetic algorithm (GA) and non-linear programming (NLP) constrained models of the OPP problem are presented. A new methodology is proposed to incorporate several constraints using the NLP. The optimisation methods have been written in Matlab software and verified on the standard Institute of Electrical and Electronics Engineers (IEEE) 14-bus test system to authenticate their effectiveness. This chapter targets United Nations Sustainable Development Goal 7.

This research examines the linkage between commitment (organizational and job), motivation (intrinsic and extrinsic), and work outcomes (effort and propensity to leave) using the Korean sample. With its focus on the relative impact of loyalty‐based commitment and incentive‐based motivation on work outcome behavior, this study highlights Confucian culture and expectancy theory. Using survey data, support was found for all the hypotheses except the paths from job involvement to effort. In particular, organizational commitment was found to have the highest influence on effort and propensity to leave, presenting empirical support for the eminence of loyalty as a motivational tool in a collectivistic work culture. Managerial implications and future research are discussed.

This paper aims to propose a new solution for real-time 3D perception with monocular camera. Most of the industrial robots’ solutions use active sensors to acquire 3D structure information, which limit their applications to indoor scenarios. By only using monocular camera, some state of art method provides up-to-scale 3D structure information, but scale information of corresponding objects is uncertain.

First, high-accuracy and scale-informed camera pose and sparse 3D map are provided by leveraging ORB-SLAM and marker. Second, for each frame captured by a camera, a specially designed depth estimation pipeline is used to compute corresponding 3D structure called depth map in real-time. Finally, depth map is integrated into volumetric scene model. A feedback module has been designed for users to visualize intermediate scene surface in real-time.

The system provides more robust tracking performance and compelling results. The implementation runs near 25 Hz on mainstream laptop based on parallel computation technique.

A new solution for 3D perception is using monocular camera by leveraging ORB-SLAM systems. Results in our system are visually comparable to active sensor systems such as elastic fusion in small scenes. The system is also both efficient and easy to implement, and algorithms and specific configurations involved are introduced in detail.

Many organizations currently transition towards digitalized process design, execution, control, assurance and improvement, and the purpose of this research is to empirically demonstrate how data-based operational excellence techniques are useful in digitalized environments by means of the optimization of a robotic process automation deployment.

An interpretive mixed-method case study approach comprising both secondary Lean Six Sigma (LSS) project data together with participant-as-observer archival observations is applied. A case report, comprising per DMAIC phase (1) the objectives, (2) the main deliverables, (3) the results and (4) the key actions leading to achieving the presented results is presented.

Key findings comprise (1) the importance of understanding how to acquire and prepare large system generated data and (2) the need for better large system-generated database validation mechanisms. Finally (3) the importance of process contextual understanding of the LSS project lead is emphasized, together with (4) the need for LSS foundational curriculum developments in order to be effective in digitalized environments.

This study provides a rich prescriptive demonstration of LSS methodology implementation for RPA deployment improvement, and is one of the few empirical demonstrations of LSS based problem solving methodology in industry 4.0 contexts.

Researchers often use partial least squares structural equation modeling (PLS-SEM) to estimate path models that include formatively specified constructs. Their validation requires running a redundancy analysis, which tests whether the formatively measured construct is highly correlated with an alternative measure of the same construct. Extending prior knowledge in the field, this paper aims to examine the conditions favoring the use of single vs multiple items to measure the criterion construct in redundancy analyses.

Merging the literatures from a variety of fields, such as management, marketing and psychometrics, we first provide a theoretical comparison of single-item and multi-item measurement and offer guidelines for designing and validating suitable single items. An empirical comparison in the context of hospitality management examines whether using a single item to measure the criterion variable yields sufficient degrees of convergent validity compared to using a multi-item measure.

The results of an empirical comparison in the context of hospitality management show that, when the sample size is small, a single item yields higher degrees of convergent validity than a reflective construct does. However, larger sample sizes favor the use of reflectively measured multi-item constructs, but the differences are marginal, thus supporting the use of a global single item in PLS-SEM-based redundancy analyses.

This study is the first to research the efficacy of single-item versus multi-item measures in PLS-SEM-based redundancy analyses. The results illustrate that a convergent validity assessment of formatively measured constructs can be implemented without triggering a pronounced increase in survey length.

In a recent paper, Hartley and Cooper reviewed the available studies of redundancy using a psychological framework and came to the conclusion that insufficient systematic work had so far been done ‘to assess the impact of the phenomenon on the psychological state of the redundant worker, his family and the wider community’. This lack of examination of redundancy from a psychological approach was a state which Hartley and Cooper felt should be remedied. And, in the title of their paper, they pose an implicit question by the inclusion of a question mark — ‘Redundancy: a psychological problem?’. Yet, as Wood notes, there is in fact little specification of either the potential or reported psychological effects of redundancy. Hartley and Cooper document the reported impact of redundancy in terms of the various stages of the process and note that most studies have tended to concentrate on the period of unemployment following the loss of the job rather than on the period previous to the redundancy. A number of these studies, they note, have been attitudinal, describing the feelings of the affected population, or a sub‐sample, towards a number of relevant issues, most notably the redundancy itself. While they consider that the issue of redundancy has been studied from the viewpoints of both labour economics and sociology, Hartley and Cooper are more concerned to highlight the lack of concern displayed so far by psychologists. They quote the study of the closure of a steel works by Warr and Lovatt, in which psychological wellbeing was singled out for examination and was found to be associated with length of time unemployed. This study is, however, exceptional in the emphasis placed on the psychological effects of redundancy. Hartley and Cooper go on to comment on the central place given in previous studies to the job search process, both in terms of attitudes and behavioural patterns. From job search, attention is directed to a review of the studies of the unemployed in general as opposed to the redundant in particular. Attention is drawn throughout the paper to the lack of concern shown to date with the examination of redundancy as a psychological problem.