Exploration of Human Resource Management in Enterprise Business Management

Human resource management is an integral part of enterprise operation and management,contributing to the avoidance of financial risks,alleviation of performance problems,promotion of organizational development,enhancement of operational efficiency,and fostering sustainable enterprise development.Enterprise management should prioritize attention to human resource management by establishing an independent human resource management department and strategically planning human resource management tasks.This involves building an information management platform,developing a professional human resource management model to mitigate market risks,actively recruiting human resource management talents to form a competent team,and enhancing the human resource management and supervision system.These measures are essential for comprehensively improving the level of enterprise operation and management.

Process Discovery and Refinement of an Enterprise Management System

The need for the analysis of modern businesses is rapidly increasing as the supporting enterprise systems generate more and more data.This data can be extremely valuable for executing organizations because the data allows constant monitoring,analyzing,and improving the underlying processes,which leads to the reduction of cost and the improvement of the quality.Process mining is a useful technique for analyzing enterprise systems by using an event log that contains behaviours.This research focuses on the process discovery and refinement using real-life event log data collected from a large multinational organization that deals with coatings and paints.By investigating and analyzing their order handling pro-cesses,this study aims at learning a model that gives insight inspection of the processes and performance analysis.Furthermore,the animation is also performed for the better inspection,diagnostics,and compliance-related questions to specify the system.The configuration of the system and the conformance checking for further enhancement is also addressed in this research.To achieve the objectives,this research uses process mining techniques,i.e.process discovery in the form of formal Petri nets models with the help of process maps,and process refinement through conformance checking and enhancement.Initially,the identified executed process is reconstructed by using the process discovery techniques.Following the reconstruction,we perform a deep analysis for the underlying process to ensure the process improvement and redesigning.Finally,some recommendations are made to improve the enterprise management system processes.

Analyzing and Designing Business Processes Management System Based on Transformation of Instantiated Ontology’s State

The paper discusses efforts of finding a simple and transparent method to analyze business processes and developing its management system architecture. By introducing ontology and its state, the approach tried to find a unified representation and a flexible choreography of business processes. The main idea of the paper is the transformation of ontology＇s states, which are the most important scenarios of enterprises. The business activity composition, that is, case composition based on an AI technique, Case Based Reason （CBR）, which is to solve new problems by retrieving solutions to previous problems, and then store the modified solution. The main interest in CBR relies on that it allows a system to avoid past failures and exploit past successes.

Artifact-centric workflow management system

Data-centric modeling approach for workflow specification and design has received considerable attention from research and development communities.An architecture for a workflow management system named EZFLOWS was outlined.Key components and research issues associated with the development of EZFLOWS were discussed.

PERFORMANCE-DRIVEN BUSINESS PROCESS MANAGEMENT METHODOLOGY FOR SMALL AND MEDIUM SIZED-ENTERPRISES

Based on the analysis of the common limitations of business processmanagement (BPM) methodologies and the requirements of small and medium sized-enterprises (SMEs),the importance of a 'performance construct' of BPM methodologies is identified, a six-phaseperformance-driven BPM methodology for the production and operation processes of Chinese SMEs isdeveloped. A case study on the process management of a medium-sized enterprise shows a successfulexample of running the methodology.

Regulations on the Management of the Qualification to Engage in the Business Operations concerning Shares Owned by Foreign Investors

With a view to standardizing the business operationsrelating to foreign investment of domestic and overseas secu-rities organizations and protecting the legitimate rights andinterests of investors,the China Security Regulatory Commis-sion has promulgated the Provisional Regulations on theManagement of the Qualification of Domestic and OverseasSecurities Organizations to Engage in the Business Opera-tions concerning Shares Owned by Foreign Investors.TheseRegulations enter into force on December 1.1996.The wholetext is as follows:Chapter 1 General PrinciplesArticle 1 With a view to standardizing the businessoperations of domestic and overseas securities organizationswhich relate to shares owned by foreign investors and pro-

Investigating the Evolution of Human Resource Management in Enterprises in the Era of Big Data

Human resource(HR)management plays a crucial role in the overall management of enterprises,exerting a significant influence on their growth and development.With China now firmly entrenched in the era of big data,the conventional HR management approach is no longer adequate to meet the evolving demands of enterprise progress.Therefore,there is a pressing need to actively revamp the management strategies to improve the quality.This article outlines the importance of reforming enterprise HR management in the context of big data,scrutinizes the prevailing challenges in this domain,explores strategies for transforming HR management within enterprises in the era of big data,and provides illustrative examples to summarize valuable managerial insights,thereby offer enterprise leaders a valuable source of reference information.

On Computing the Suitability of Non-Human Resources for Business Process Analysis

Business process improvement is a systematic approach used by several organizations to continuously improve their quality of service.Integral to that is analyzing the current performance of each task of the process and assigning the most appropriate resources to each task.In continuation of our previous work,we categorize resources into human and non-human resources.For instance,in the healthcare domain,human resources include doctors,nurses,and other associated staff responsible for the execution of healthcare activities;whereas the non-human resources include surgical and other equipment needed for execution.In this study,we contend that the two types of resources(human and non-human)have a different impact on the process performance,so their suitability should be measured differently.However,no work has been done to evaluate the suitability of non-human resources for the tasks of a process.Consequently,it becomes difficult to identify and subsequently overcome the inefficiencies caused by the non-human resources to the task.To address this problem,we present a three-step method to compute a suitability score of non-human resources for the task.As an evaluation of the proposed method,a healthcare case study is used to illustrate the applicability of the proposed method.Furthermore,we performed a controlled experiment to evaluate the usability of the proposed method.The encouraging response shows the usefulness of the proposed method.

Competency Driven Resource Evaluation Method for Business Process Intelligence

Enterprises are continuously aiming at improving the execution of processes to achieve a competitive edge.One of the established ways of improving process performance is to assign the most appropriate resources to each task of the process.However,evaluations of business process improvement approaches have established that a method that can guide decision-makers to identify the most appropriate resources for a task of process improvement in a structured way,is missing.It is because the relationship between resources and tasks is less understood and advancement in business process intelligence is also ignored.To address this problem an integrated resource classification framework is presenting that identifies competence,suitability,and preference as the relationship of task with resources.But,only the competence relationship of human resources with a task is presented in this research as a resource competence model.Furthermore,the competency calculation method is presented as a user guider layer for business process intelligencebased resource competence evaluation.The computed capabilities serve as a basic input for choosing the most appropriate resources for each task of the process.Applicability of method is illustrated through a heathcare case study.

Study of Customer Relationship Asset Management from the People-oriented Perspective

With the advent of the knowledge economy and information age in the 21st century,the relationship between managers,the managed personnel,and customers has undergone tremendous changes.In order to meet the needs of the development of the times,the business management has gradually turned to the study of people,and humanistic management has become one of the important factors influencing the sustainable development of enterprises.This paper came up with people-oriented management approaches and countermeasures for enterprises from corporate culture,customer satisfaction and loyalty,balance sheet management,customer database establishment,and improvement of the rate of return of customer relationship assets.

Influence of the Gender of Business Managers on Corporate Corruption in Emerging Countries

The influence of the gender of business managers in emerging countries on the corruption behaviors of a firm is studied on the basis of firm-level data from World Bank.It is discovered that women’s participation in management is directly proportional to the possibility of corporate corruption.In view of the Theoretical Analysis system,due to the poorly standardized market systems and policy environments in emerging countries,the corruption level of firms in emerging countries is higher.Meanwhile,due to the vulnerability of female-managed firms in emerging countries,female managers are more likely to make corrupt decisions and the corruption level of such firms is higher.

Corporate Risk Strategic Management and Probabilistic Analysis Related to Environmental Liabilities: A Case Study

Environmental stewardship is one of the main indicators of corporate performance and reputation among investors today. However, historical operational practices and accidents have created significant environmental liabilities in the industrial sector, and now require significant investments for appropriate management and resolution. A strategic approach is imperative to assure that company’s financial resources are effectively allocated, and shareholders’ interests are protected. In addition, these liabilities must be appropriately and continuously reported, which require the use of robust forecasting techniques such as Monte Carlo Simulation. The present study results demonstrate that under an optimized strategic approach, liability management costs may be reduced in approximately 50%. In addition, the financial forecast under the selected approach may support appropriate reporting of company’s liabilities.

The Optimized Way of Commercial Bank Management under the Background of Big Data

With the advent of the era of big data,the commercial management activities of commercial banks are facing both new challenges and new development opportunities.In the increasingly fierce market competition,commercial banks must pay attention to enhance their core competitiveness,only in this way can they occupy a certain advantage in the fierce market environment.Therefore,commercial banks must accurately grasp the development opportunities brought by big data,and further strengthen the optimization of business management.The author explores and analyzes the impact of big data on commercial banks,and puts forward an effective way for commercial banks to optimize business management in the context of big data,hoping to contribute to the long-term development of commercial banks.

Discussion on the Problems and Countermeasures of Leadership Effectiveness in Enterprise Management

The development of an enterprise is inseparable from enterprise management,which can set a clear direction for the enterprise,stimulate the potential of the enterprise,improve the competitiveness of products,and increase the performance of the enterprise,and finally achieve the goal of the enterprise.Leaders play a decisive role in corporate management.Leaders play an important role in unified command and decision-making in corporate management,guiding the direction of corporate development and advancement,and escorting companies in the fierce market competition.This article explores and studies the effectiveness of leaders in business management.The purpose is to enable modern business leaders to have good political,knowledge,ability,and psychological qualities,and to continuously improve the effectiveness of leadership through the joint efforts of society and themselves.To make a greater contribution to the development of the enterprise.

Business Continuity Management,Operational Resilience,and Organizational Resilience:Commonalities,Distinctions,and Synthesis

The concepts of business continuity management,operational resilience,and organizational resilience each refer to actions that businesses and organizations can take in anticipating and responding to disruptions.However,the existing definitions and usages are difficult to differentiate due to overlapping objectives,implementation processes,and outcomes.This article examines definitions and approaches for these three concepts and suggest a framework to operationalize methods and tools relevant to each.These definitions emphasize three dyads:risk versus resilience;organizational processes versus assets;and normal operating conditions versus crisis conditions.Using these dyads to differentiate the concepts of business continuity management,operational resilience,and organizational resilience can support planners in clarifying objectives and identifying which approach will be most beneficial as businesses or organizations plan for and encounter disruptions.This article evaluates these concepts by examining illustrative examples of disruptions and responses.

Former Harvard Business School Senior Associate Dean F.Warren McFarlan Appointed Co-Director of Tsinghua School of Economics and Management China Business Case Center

Tsinghua University＇s School of Economics and Management （SEM） announced the appointment on August 18, 2009 of former Senior Associate Dean of the Harvard Business School Professor F. Warren McFarlan as Co-Director of SEM＇s China Business Case Center for the next three years.

Former Harvard Business School Senior Associate Dean F.Warren McFarlan Appointed Co-Director of Tsinghua School of Economics and Management China Business Case Center

Tsinghua University＇s School of Economics and Management （SEM） announced the appointment on August 18, 2009, of former Senior Associate Dean of the Harvard Business School Professor F. Warren McFarlan as Co-Director of SEM＇s China Business Case Center for the next three years. During his tenure, Professor McFarlan will design a Harvard Business School case study based teaching platform for SEM adapted to the current business environment in China. Professor McFarlan will also select a company as the basis for case study and research on the problems the company encounters in its growth process. He may also open further case development and teaching seminars in the future.

The Diversification Strategy of Securities Firms in China from the Perspective of Enterprise Operational Sustainability

With the intensified competition in the capital market,the continuous development of internet finance,and the gradual loosening of market regulation,the profit pressure on securities firms relying on traditional business is increasing.In order to seek new profit growth points,many securities firms have ventured into business diversification,but with varying results.From the perspective of enterprise operational sustainability,econometric methods are used to explore the relationship between the diversification and business performance of securities firms in China,putting forward diversification strategies suitable for these firms.

Unraveling Iterative Control Structures from Business Processes

Iterative control structures allow the repeated execution of tasks,activities or sub-processes according to the given conditions in a process model.Iterative control structures can significantly increase the risk of triggering temporal exceptions since activities within the scope of these control structures could be repeatedly executed until a predefined condition is met.In this paper,we propose two approaches to unravel iterative control structures from process models.The first approach unravels loops based on zero-one principle.The second approach unravels loops based on branching probabilities assigned at split gateways.The proposed methods can be used to unfold structured loops,nested loops and crossing loops.Since the unfolded model does not contain any iterative control structures,it can be used for further analysis by process designers during the modeling phase.The proposed methods are implemented based on workflow graphs,and therefore they are compatible with modeling languages such as Business Process Modelling Notation(BPMN).In the experiments,the execution behavior of unfolded process models is compared against the original models based on the concept of runs.Experimental results reveal that runs generated from the original models can be correctly executed in the unfolded BPMN models that do not contain any loops.

An Efficient Algorithm for Obtaining the Optimum Solution of a Generalized Assignment Problem

This paper considers a generalized assignment problem. After intensively analyzing and researching, the generalizsed assignment problem is ingeniously reduced to a traditional assignment problem of which the optimum solution can be easily obtained by a famous method:Hungary algorithm. Finally, an illustrating example is given.