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Bankruptcy is a financial failure of a business or an organization. Different kinds of bankruptcy prediction techniques are proposed to predict it. But, they are restricted as techniques in predicting the bankruptcy and not addressing the associated activities like acquiring the suitable data and delivering the results to the user after processing it. This situation demands to look for a comprehensive solution for predicting bankruptcy with intelligence. The paper aims to discuss these issues.

To model Business Intelligence (BI) solution for BP the concept of reference model is used. A Reference Model for Business Intelligence to Predict Bankruptcy (RMBIPB) is designed by applying unit operations as hierarchical structure with abstract components. The layers of RMBIPB are constructed from the hierarchical structure of the model and the components, which are part of the reference model. In this model, each layer is designed based on the functional requirements of the Business Intelligence System (BIS).

This reference model exhibits the non functional software qualities intended for the appropriate unit operations. It has flexible design in which techniques are selected with minimal effort to conduct the bankruptcy prediction. The same reference model for another domain can be implemented with different kinds of techniques for bankruptcy prediction.

This model is designed using unit operations and the software qualities exhibited by RMBIPB are limited by unit operations. The data set which is applied in RMBIPB is limited to Indian banks.

A comprehensive bankruptcy prediction model using BI with customized reporting.

Ant colony algorithm is widely used in recent years as a heuristic algorithm. It provides a new way to solve complicated combinatorial optimization problems. Having been enlightened by the behavior of ant colony's searching for food, positive feedback construction and distributed computing combined with certain heuristics are adopted in the algorithm, which makes it easier to find better solution. This paper introduces a series of ant colony algorithm and its improved algorithm of the basic principle, and discusses the ant colony algorithm application situation. Finally, several problems existing in the research and the development prospect of ACO are reviewed.

Intelligence level of a crowd network is defined as the expected reward of the network when completing the latest tasks (e.g. last N tasks). The purpose of this paper is to improve the intelligence level of a crowd network by optimizing the profession distribution of the crowd network.

Based on the concept of information entropy, this paper introduces the concept of business entropy and puts forward several factors affecting business entropy to analyze the relationship between the intelligence level and the profession distribution of the crowd network. This paper introduced Profession Distribution Deviation and Subject Interaction Pattern as the two factors which affect business entropy. By quantifying and combining the two factors, a Multi-Factor Business Entropy Quantitative (MFBEQ) model is proposed to calculate the business entropy of a crowd network. Finally, the differential evolution model and k-means clustering are applied to crowd intelligence network, and the species distribution of intelligent subjects is found, so as to achieve quantitative analysis of business entropy.

By establishing the MFBEQ model, this paper found that when the profession distribution of a crowd network is deviate less to the expected distribution, the intelligence level of a crowd network will be higher. Moreover, when subjects within the crowd network interact with each other more actively, the intelligence level of a crowd network becomes higher.

This paper aims to build the MFBEQ model according to factors that are related to business entropy and then uses the model to evaluate the intelligence level of a number of crowd networks.

This paper tracks the network of actors participating in the initial implementation of a “Lean management” system, in order to identify associations between human and non-human participants conducive to successful adoption of the system.

The perspective of actor–network theory (ANT) helps reveal the complex dynamics at play in a “Lean” intervention at a manufacturing firm. It allows to identify key actors (human and non-human), as well as the possible associations between them, and helps produce network diagrams to track the changes in actors' roles and in network coherence over time.

Through a network analysis, the study charts the complexity of the process of Lean intervention, by accounting for the distinct possibility that actors' roles may shift over time, as they engage and disengage with the proposed intervention, until they fully cohere into a new system. Based on this, it derives a conceptual model to describe relevant factors for successful implementation of Lean improvement projects.

The ANT perspective affords new insights into Lean Management systems implementation, by highlighting associations between human and non–human actors. This novel focus suggests corresponding management guidelines and reflective practices for successful intervention.

DESPITE all the gloom and doom preached by so many businessmen and politicians today, there are indeed signs that the recession is itself receding and that better times may be closer than we think.

In the last monograph an attempt was made at giving a short historical background of the trade union movement; at defining a trade union; at discussing the closed shop and at looking towards its future.

One of the common law duties owed by the employer is his duty to take reasonable care for the safety of his employee. This common law duty is an implied term in the contract of employment and is therefore contractual in nature. Because of the difficulties which may arise in bringing an action in contract for breach of the employer's duty of care, the employee who has sustained injuries during the course of his employment (although he may sue either in contract of tort will normally bring a tort action.

SO THE Nissan Company of Kyoto has laid the foundation stone of its factory in Sunderland. An era, perhaps a new era in the history of the British Motorcar Industry is really on the way.

The purpose of this paper is to explore issues relating to imposing a ban on the importation of asbestos-contaminated building materials (ACBMs) in the Australian context to better understand the multiple accountabilities and consequences.

This study undertakes a qualitative content analysis of the multiple accountabilities and stakeholder expectations using the lens of actor–network theory. This study further explores the weaknesses and complexities associated with implementing a complete ban on asbestos, ensuring that only asbestos-free building materials are imported to Australia. This study uses data collected from 15 semi-structured interviews with stakeholders, responses from the Australian Border Force to a questionnaire and 215 counter accounts from the media, the Australian Government, industry organizations, non-governmental organizations and social group websites during the period from 2003 to 2021.

This study reveals that stakeholders' expectations of zero tolerance for asbestos have not been met. This assertion has been backed by evidence of asbestos contamination in imported building materials throughout recent years. Stakeholders say that the complete prevention of the importation of ACBMs has been delayed because of issues in policy implementations, opaque supply chain activities, lack of transparency and non-adherence to mandatory and self-regulated guidelines.

Stakeholders expect public and private sector organizations to meet their accountabilities through mandatory adoption of the given policy framework.

This research provides a road map to identify the multiple accountabilities, their related weaknesses and the lack of implementation of the necessary protocol, which prevents a critical aspect of legislation from being effectively implemented.