Designing and Implementing an Information System for the Dental Office of Branckowitz & Young

This case provides students with the opportunity to create a functional information system (IS) for a service company. The case facilitates a guided hands‐on experience where students learn to analyze a business entity in the context of its environment; recognize what business processes comprise an entity's value chain; and develop, document, and implement a tailor‐made IS to support the entity's operation. In order to keep the amount of development realistic and the system transparent for students, the case focuses on a small service company: a dental office. The case uses a resource—events—agents (REA) analytical framework for modeling and Microsoft Access for IS implementation. The case is structured modularly, enabling instructors to either explain material or demonstrate analysis/development of a segment of an IS in class and then challenge the students to complete the module's development following the instructor's example. Instructors have the flexibility to give students fewer (or additional) directions in developing the information system, depending on the students' backgrounds and abilities. Instructors also have a choice to limit the scope of the development and implementation to any number of four business processes.     

Diversification,Refocusing and Firm Value

At any point in time a firm faces three restructuring choices: diversify, refocus, or do nothing. This study analyses the causes and the consequences of these actions in a unified framework using the appropriate methodologies. Various factors, such as firm's characteristics and multinational nature, its industry's characteristics, its exchange and index inclusion, and divested (or acquired) segment(s)' industry conditions, are considered as the determinants of the diversifying and the refocusing decisions. The estimation results from the corresponding multinomial logit model suggest that refocusing occurs generally due to firm‐specific reasons, and diversification due to outside factors, such as industry and economic conditions. Added or dropped segment's industry profitability, its relationship to the core business of the firm, and its relatedness to the businesses of the conglomerate's other segments have a nontrivial effect on either decision. In a related analysis, the paper explicitly models and estimates the valuation consequences that are sustained by the firm after it undertakes a refocusing or a diversification action. To isolate the changes in firm's value that are due to these decisions only, a 2SLS estimation is used to control for endogeneity that arises because the factors that affect a firm's value are likely to have also induced the firm to make the corresponding decision. The novelty of my approach is in its inclusion of variables measuring the consequences due to both actions, the diversification and the refocusing, in the same valuation equation. Contrary to some earlier findings, I find no evidence of ‘diversification discount’ or ‘refocusing premium.’ The choice of this paper to analyse all corporate restructuring decisions in a unified framework yields valuable business insights into the reasons for undertaking such corporate events.     

Using Goals,Rules and Methods to Support Reasoning in Business Process Reengineering

One step towards a more systematic approach to the design of business processes is to develop models that provide appropriate representations of the knowledge that is needed for understanding and for reasoning about business processes. We present a modelling framework which uses goals, rules and methods to support the systematic analysis and design of business processes. The frame-work consists of two main components—a Strategic Dependency model that describes a process organization in terms of intentional dependencies among actors, and a Strategic Rationale model that supports reasoning during process redesign. Formal representation of these models allows computer-based tools to be developed as extensions to, and eventually integrated with, other tools for supporting information systems development.     

Quality evaluation framework (QEF): Modeling and evaluating quality of business processes

Business process modeling is an important part of information systems design as well as of any business engineering or reengineering activity. Business process modeling languages provide standard ways of presentation and communication between different stakeholders. A business process model is the externalization of the conceptualization of some parts of the object world that deal with those aspects that pertain to the way business transactions are carried out and supported by an information system. This paper deals with an essential issue in this context, namely the assessment of the quality of business processes through their models. This objective raises two major issues, (a) the identification of the quality factors relevant to business processes, and (b) the definition of the metrics that provide a means for objectively measuring quality of business processes. These two issues are addressed in this paper through a quality evaluation framework, known as QEF that enables business process modelers to explicitly incorporate a wide variety of requirements corresponding to quality factors. Quality factors of business processes are defined in this paper and categorized into different quality dimensions. Application of the quality framework as well as proposed quality dimensions, factors and metrics are discussed through an illustrative example.     

Enterprise Risk Management Through Strategic Allocation of Capital

This article presents a conceptual framework for operationalizing strategic enterprise risk management (ERM) in a general firm. We employ a risk‐constrained optimization approach to study the capital allocation decisions under ERM. Given the decision maker's risk appetite, the problem of holistically managing enterprise‐wide hazard, financial, operational, and real project risks is treated by maximizing the expected total return on capital, while trading off risks simultaneously in Value‐at‐Risk type of constraints. This approach explicitly quantifies the concepts of risk appetite and risk prioritization in light of the firm's default and financial distress avoidance reflected in its target credit rating. Our framework also allows the firm to consider a multiperiod planning horizon so that changing business environments can be accounted for. We illustrate the implementation of the framework through a numerical example. As an initial conceptual advancement, our formulation is capable of facilitating more general ERM modeling within a consistent strategic framework, where idiosyncratic variations of firms and different modeling assumptions can be accommodated. Managerial implications are also discussed.     

Development of a case‐based decision support system for process modeling in BPR

This paper presents a knowledge‐based methodology for business process reengineering that uses a case‐based reasoning paradigm to provide decision support to its users in the modeling of a current problem and a redesign of critical business processes. As a process modeling tool for representing the business process, the event process chain (EPC) modeling method is used in this paper. We developed a CAPMOSS (CAse‐based Process MOdeling Supporting System) to support our proposed methodology. To reengineer a new business process problem, CAPMOSS retrieves from its case base the case that is most similar to the current problem. CAPMOSS uses a retrieved case to guide the structuring of AS‐IS models and TO‐BE models of a target business process. Using the transformational knowledge of a retrieved case, CAPMOSS helps the user to transform an AS‐IS model into a TO‐BE model for the target process with ease and the purchasing process in a government R&D institute is explained as an application of this approach. Copyright © 2000 John Wiley & Sons, Ltd.     

Modeling Drivers and Barriers of Artificial Intelligence Adoption: Insights from a Strategic Management Perspective

Artificial intelligence (AI) in business processes and academic research in AI has significantly increased. However, the adoption of AI in organizational strategy is yet to be explored in extant literature. This study proposes two conceptual frameworks showing hierarchical relationships among the various drivers and barriers to AI adoption in organizational strategy. In a two-step approach, the literature study is first done to identify eight drivers of and nine barriers to AI adoption and validated by academic and industry experts. In the second step, MICMAC (matrice d'impacts croises-multiplication appliqúe a un classment or cross-impact matrix multiplication applied to classification) analysis categorizes the drivers and barriers to AI adoption in organizational strategy. Total interpretive structural modeling (TISM) is developed to understand the complex and hierarchical associations among the drivers and barriers. This is the first attempt to model the drivers and barriers using a methodology like TISM, which provides a comprehensive conceptual framework with hierarchical relationships and relative importance of the drivers and barriers to AI adoption. AI solutions' decision-making ability and accuracy are the most influential drivers that influence other driving factors. Lack of an AI adoption strategy, lack of AI talent, and lack of leadership commitment are the most significant barriers that affect other barriers. Recommendations for senior leadership are discussed to focus on the leading drivers and barriers. Also, the limitations and future research scope are addressed.     

Using Reference Models within the Enterprise Resource Planning Lifecycle

ERP-specific reference models describe on a conceptual level the structure and functionality of enterprise resource planning solutions. However, these models focus on depicting executable processes and do not take into account tasks related to business engineering, system selection, implementation or change. This paper discusses how reference process models can be used within the entire ERP lifecycle. All phases of the ERP lifecycle have individual requirements for the management of the relevant knowledge. It will be shown how extended reference models can serve as a knowledge repository for enterprise resource planning. This paper includes several pragmatic recommendations for managers involved in ERP projects.     

The Nature and Rationale of a Conceptual Framework for Financial Reporting by Islamic Banks

Islamic banks have to abide by the revealed doctrines in Islam in conducting their business and financial transactions. They employ in-house religious advisers—often referred to as Shari'a Supervisory Board (SSB)—who issue a special report to inform users of financial statements whether or not the bank has adhered to the Islamic principles. Recently, a private standard-setting body—the Financial Accounting Organization for Islamic Banks and Financial Institutions (FAOIBFI)—has been set up to externally regulate the financial reporting by Islamic banks. The FAOIBFI has published two statements on the objectives and concepts of financial reporting to act as a framework in setting accounting standards for Islamic banks. This paper examines the FAOIBFI's approach for developing objectives and concepts of financial accounting and investigates its need for such a theoretical framework. It is argued that the FAOIBFI's objectives and concepts would not be useful in mandating accounting standards on issues that are affected by religious ruling. This does not necessarily mean that such a framework may not be useful in legitimating the FAOIBFI's role and in setting accounting standards for issues that are not governed by revealed moral doctrines although it will be subject to similar limitations to those found by other standard-setting bodies in utilising and applying their framework. However, it implies that the more the FAOIBFI sets accounting standards that incorporate religious ruling, the less it would tend to find its own objectives and concepts useful. The ambiguities that may arise from different interpretations of the religious rules will require resolutions primarily by reference to religious rather than accounting authority.     

需求分析阶段业务流程可视化建模研究

购物网站以其独特的优势进入了飞速发展时期。本文首先简单介绍了购物网站的发展情况,然后重点介绍如何有效运用可视化建模工具对购物网站业务进行可视化建模,并通过对一个购物网站业务流程的实际建模,简要说明了对此类应用进行建模的过程。     

企业家商业模式创新行为分析

基于经济租金理论和商业模式创新特点,考量企业家商业模式创新的动因、企业家商业模式创新中的能力构成以及创新绩效。运用结构方程模型对相关假设进行实证检验,结果表明,企业家发现机会的能力、承担风险和不确定性的能力对商业模式创新行为具有显著正向影响,且企业家商业模式创新行为对创新绩效的正向影响显著,商业模式创新行为实现了经济租金的获取。     

Characterizing international competitiveness in international business research: A MASI approach to national competitiveness

As one of two main players in international business, countries have a great influence on competitiveness of multinational corporations (MNCs). This article introduces a MASI methodology to systematically incorporate location-specific factors as sources of competitive advantage into the realm of international business research. The MASI approach provides (1) the dual double diamond (DDD) model for measuring national competitiveness (measure); (2) the 3 × 3 framework for classifying country groups (analyze); (3) an application of business strategy models (cost versus differentiation) to the analysis of national competitiveness (simulate); (4) a series of viable strategies to enhance national competitiveness (implement). Empirical analyses with the MASI methodology of 66 countries demonstrate the validity of the DDD model, features of national competitiveness, and implications for MNCs to enhance competitive advantages.     

MODELLING THE ADAPTATION OF BUSINESS CONTINUITY PLANNING BY BUSINESSES USING NEURAL NETWORKS

Business continuity planning is an important element of business continuity management and is regarded as a fundamental step towards reducing the negative impacts of business disruptions caused by internal and external hazardous events. Many businesses are not prepared for such events, and very few studies have tried to examine and model the factors that contribute to business continuity management planning by various companies. In this paper we propose and develop a feed‐forward neural network for modelling businesses continuity planning by businesses based on a dataset of 283 businesses operating in the Greater Toronto Area in Ontario, Canada. The fully connected neural network applied was trained on 65 % of the dataset records using different subsets of input variables. In order to preserve the generalization ability of the trained network, 15 % of the dataset records were used as a validation set for early stopping during the network's training process. Prediction capability of the trained networks was evaluated on 20 % and never‐seen records of the dataset. The classification ability of the networks was then analysed using receiver operating characteristic and detection error trade‐off curves, where the results obtained were promising. The equal error rate for the best models was 12 %, which reflects a very good accuracy of these models in predicting the existence of business continuity planning for a generic company. Copyright © 2011 John Wiley & Sons, Ltd.     

Measuring the effects of business intelligence systems: The relationship between business process and organizational performance

Business intelligence (BI) systems provide the ability to analyse business information in order to support and improve management decision making across a broad range of business activities. They leverage the large data infrastructure investments (e.g. ERP systems) made by firms, and have the potential to realise the substantial value locked up in a firm's data resources. While substantial business investment in BI systems is continuing to accelerate, there is a complete absence of a specific and rigorous method to measure the realised business value, if any. By exploiting the lessons learned from prior attempts to measure business value of IT-intensive systems, we develop a new measure that is based on an understanding of the characteristics of BI systems in a process-oriented framework. We then employ the measure in an examination of the relationship between the business process performance and organizational performance, finding significant differences in the strength of the relationship between industry sectors. This study reinforces the need to consider the specific context of use when designing performance measurement for IT-intensive systems, and highlights the need for further research examining contextual moderators to the realisation of such performance benefits.     

DEA as a business failure prediction tool Application to the case of galician SMEs

In the research group we are working to provide further empirical evidence on the business failure forecast. Complex fitting modelling; the study of variables such as the audit impact on business failure; the treatment of traditional variables and ratios have led us to determine a starting point based on a reference mathematical model. In this regard, we have restricted the field of study to non-financial galician SMEs in order to develop a model¹ to diagnose and forecast business failure. We have developed models based on relevant financial variables from the perspective of the financial logic, voltage and financial failure, applying three methods of analysis: discriminant, logit and multivariate linear. Finally, we have closed the first cycle using mathematical programming –DEA or Data Envelopment Analysis– to support the failure forecast. The simultaneous use of models was intended to compare their respective conclusions and to look for inter-relations. We can say that the resulting models are satisfactory on the basis of their capacity for prediction. Nevertheless, DEA contains significant points of criticism regarding its applicability to business failure.     

The Business Model in Integrated Reporting: Evaluating Concept and Application

A key feature of the International Integrated Reporting Council's (IIRC) agenda to improve corporate reporting is to encourage companies to use Integrated Reports to disclose their underlying business models. However, extant research suggests that the IIRC's distinctive business model concept is not well understood. This paper aims to unpack and critically evaluate the core features of the IIRC's business model concept. To unpack the IIRC's business model, the paper conducts a structured comparative analysis of the IIRC's model against eight influential alternatives in prior business model research. The paper then evaluates the extent to which Integrated Reporting's distinctive business model is: (1) internally coherent and consistent; and, (2) consistent with the IIRC's broader reporting objectives. The paper identifies tensions in both these areas. Since the IIRC's business model is central to its agenda to improve corporate reporting, these tensions are relevant to both Integrated Reporting research and broader discussions about whether, or how, disclosing business models advances mainstream reporting frameworks.     

Analysing Perceived Downside Risk: the Component Value‐at‐Risk Framework

Multinational companies face increasing risks arising from external risk factors, e.g. exchange rates, interest rates and commodity prices, which they have learned to hedge using derivatives. However, despite increasing disclosure requirements, a firm's net risk profile may not be transparent to shareholders. We develop the ‘Component Value‐at‐Risk (VaR)’ framework for companies to identify the multi‐dimensional downside risk profile as perceived by shareholders. This framework allows for decomposing downside risk into components that are attributable to each of the underlying risk factors. The firm can compare this perceived VaR, including its composition and dynamics, to an internal VaR based on net exposures as it is known to the company. Any differences may lead to surprises at times of earnings announcements and thus constitute a litigation threat to the firm. It may reduce this information asymmetry through targeted communication efforts.     

Sustainability as Adaptability

Most corporations now view sustainability as a key requirement for competitive advantage, but few claim to have achieved it. One of the key obstacles separating intention from execution is that the sustainability frameworks employed by companies tend to be insufficiently clear, precise, or comprehensive to guide decision making. One of the most pressing challenges for corporate leaders today is, of course, to sustain the economic viability of the core businesses. But given the implicit “beyond business” focus of most sustainability efforts, corporate executives would be better served by a more integrated, holistic framework—one that enables them to make tradeoffs among the economic, social, and ecological aspects of business. This article introduces such a framework—one that redefines sustainability as the ability of companies to adapt to change in three different spheres of operation—ecological, social, and economic—with a near‐term as well as a longer‐term planning horizon. Without such adaptation, business models become obsolete for reasons that can range from economic failure, to competitive inferiority, to social or ecological limits. This ability to adapt can be measured and valued by using the BCG Adaptive Advantage Index, a composite measure of corporate performance during market downturns. The BCG analysis also shows that although the most adaptive companies tend to report lower profits and have lower values during periods of relative stability, such companies perform consistently better over full cycles. Creating social and ecological value alone doesn't automatically confer economic rewards, but—with the right business model and capabilities—it can. The authors explore some of the business model archetypes that successfully achieve this “co‐optimization.”     

Business Process Modeling from the Control Perspective: The AI Planning Approach

This paper proposes a new approach for modeling business processes using the AI-Planning paradigm. Based on the concepts of agents, actions, constraints and goals, the AI-Planning approach allows explicit representation of various types of internal controls. Different threats to business processes, such as fraud, can be modeled as planning tasks—that is, finding a sequence of actions that intend to achieve a defined set of goals. Applying modeled threats to models of business processes, a planning reasoner can generate hypothetical scenarios of exposures. Because of its ability to explicitly represent threats, controls and exposures, we argue that the AI-Planning approach is useful for business process modeling from the control perspective.© 1997 John Wiley & Sons, Ltd.     

Irish credit unions: Differential regulation based on business model complexity

This study examines the business model complexity of Irish credit unions using a latent class approach to measure structural performance over the period 2002 to 2013. The latent class approach allows the endogenous identification of a multi-class framework for business models based on credit union specific characteristics. The analysis finds a three class system to be appropriate with the multi-class model dependent on three financial viability characteristics. This finding is consistent with the deliberations of the Irish Commission on Credit Unions (2012) which identified complexity and diversity in the business models of Irish credit unions and recommended that such complexity and diversity could not be accommodated within a one size fits all regulatory framework. The analysis also highlights that two of the classes are subject to diseconomies of scale. This may suggest credit unions would benefit from a reduction in scale or perhaps that there is an imbalance in the present change process. Finally, relative performance differences are identified for each class in terms of technical efficiency. This suggests that there is an opportunity for credit unions to improve their performance by using within-class best practice or alternatively by switching to another class.