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Expert database system (EDS), which is still in its infancy, is developed and demonstrated for a business function by coupling expert systems (ES) and database systems.

An EDS for inventory management (EDSIM) using the fifth generation artificial intelligence (AI) language, Prolog, is developed. The convergence of logic programming and database techniques is focused in achieving the objective. EDSIM development is based on modular design and integration of several intelligent modules, with own knowledge base and shared dynamic database.

EDSIM developed demonstrates the peculiarities of such an EDS over a system developed using conventional procedural language. It shows that development of such systems has great deployment potential in the next generation enterprise systems where embedded intelligence is inevitable.

Though no attempt is made to demonstrate distributed processing and interaction among various intelligent autonomous modules, an initiative in that direction definitely can kindle reengineering of today's enterprise system.

The language chosen for the development of EDSIM is Turbo Prolog™ and can be easily converted to a program in Visual Prolog™ which is the newer version of Turbo Prolog™. The advantage of such a conversion is that it will enable web readiness of the EDS there by facilitating e‐business in the web environment.

The benefits of the application of EDS, by the integration of ES and database systems in a fifth generation AI language, Prolog, paves way for capturing developments in AI and databases, simultaneously. This technology demonstrator has the potential to bring in an optimal mix of the above technologies in achieving major milestones while reengineering enterprise systems.

The expert system for the selection of strategic planning technique was developed with a view of assisting an executive in selecting a strategic planning tool based on constraints such as: time, skill, finance, computer, expert advice, form and content of input, and form and content of output required to be generated. The expert system runs on IBM PC/AT or compatible, which is the minimum system requirement, and contains approximately 115 rules in the rule base. The expert system was developed in Turbo Prolog^TM. The premises which help in concluding a particular strategic planning tool are stored in separate file called ‘STRATEGY.DAT’ and can be consulted at the end of the session by the user. This file saves current session's premises which concluded the particular strategic planning tool. The system, after recommending a tool, outputs a list of planning phases where the implementation of such a strategic planning tool will succeed. It runs on a backward chaining inference mechanism which is a feature of Turbo Prolog^TM.

The role of business process re‐engineering (BPR) in implementing enterprise resource planning (ERP) systems is of paramount importance. A variety of approaches are used for such re‐engineering as the best‐fitting ERP solution can only give a maximum of 80 percent fit with the existing workflow of the organization in which ERP is being implemented. The aim of this paper is to focus on the issues involved.

The paper presents some sample ERP installations to come out with various types of business BPR, ranging from small‐r to big‐R, practised while implementing ERP.

Based on the literature review, it could be found that all organizations implementing ERP have chosen their own approach based on organizational constraints and the needs. The importance of BPR in ERP implementation is highlighted in earlier studies.

The recursive relationship between BPR and information technology has only resulted in the rapid evolution of ERP systems. ERP integration with supply chain management and its web readiness are major agenda for ERP developers. Many re‐engineering possibilities are yet to evolve based on research in knowledge, artificial intelligence and expert database systems. A suitable approach to implement the same in an organization can only be done using the most suitable approach and hence the importance of the BPR approaches presented here along with their advantages and disadvantages.

As the various BPR approaches are categorized based on implementation followed by major corporations, it is definitely a forerunner for any ERP‐implementing organization under study. Also the common problems encountered during re‐engineering for ERP implementation and the suggested remedial measures are presented based on earlier work.

An attempt has been made to identify BPR problems, causes and approaches used in implementing ERP solutions. It is only aimed at synthesis of technical and general issues using the literature.

Improving business processes provides companies with advantages in terms of efficiency and profitability, as well as competitiveness against other companies in the market. Companies that integrate business processes with enterprise resource planning (ERP) systems into digital platforms also have the opportunity to strengthen their weaknesses by recognizing disruptions and bottlenecks in inefficient business processes thanks to this digital transformation. Descriptive and bibliometric analyses were performed in this study for a systematic evaluation of studies on artificial intelligence (AI) in the ERP literature. The studies in which the keywords determined from the AI literature were firstly used together with ERP were investigated from the Scopus database. 837 publications meeting the search criteria were reached and a descriptive analysis of these publications was presented. Then, bibliometric analysis was performed using common author, common citation, and common keyword analysis methods for 296 publications in the article type. Tsinghua University and Obuda University have the most publications according to the results. The most commonly used AI keywords in the ERP studies were “genetic algorithm”, “fuzzy logic”, and “machine learning”. This study aims to guide future studies by providing a systematic and new perspective to researchers and experts working on ERP-AI.

The purpose of this paper is to visualize the prioritization among essential factors of cellular manufacturing system (CMS) implementation using the analytic hierarchy process (AHP) and analytic network process (ANP) methods.

Based on literature review, 4 enabler dimensions and 17 CM factors were identified which were validated by experts from academia and industry. Then, AHP and ANP models are proposed in evaluating CMS implementation dimensions and factors. The results are validated using sensitivity analysis.

These models give firms a straightforward and simple to utilize way to deal with CMS efficiently. The two strategies were appeared to be powerful in choosing a strategy for CMS implementation. The two strategies brought about nearly similar outcomes. Both methods consider the particular necessities of the organization through its own accessible ability.

The techniques exhibited in this paper can be utilized by a wide range of organizations for adopting CMS that have a higher impact on performance and thus overall productivity. The two techniques are explained in a step-by-step approach for easier adoption by practitioners.

The strength of the present study is that it is one of the first few to be conducted in perspective for CM implementation factors analysis.

Research in business processes has been developed around a disciplinary approach toward the production of traditional knowledge, known as Mode 1. The problems studied with this approach are solved in a context in which academic knowledge prevails, with no major concerns regarding its practical applicability. Thus, the purpose of this paper is to propose a structure for knowledge production based on Mode 2 for business process researches.

A bibliometric research was conducted to define and conceptualize the classes of disciplinary problems, by assessing the years 2007-2012 of the Business Process Management Journal publications.

A framework for the Mode 2 knowledge production was proposed in the development of research in business process and conceptualized classes of problems related to this issue.

This work was carried out with specific focus on research in business process, so the defined classes of problems cannot be generalized.

The studies identified by this research are in the form of a disciplinary approach toward the production of traditional knowledge, known as Mode 1. This paper aims to fill the gap of a transdisciplinary production of knowledge and practical application, known as Mode 2 in the context of business process.

Despite more than two decades of experience regarding the adoption and implementation of enterprise resource planning (ERP) systems in organizations, ERPs success is questionable. Though ERPs success stories are published in past research studies, the failure rate of ERP systems is relatively high. The purpose of this study was to find issues and challenges and assess the degree of criticality of these issues/challenges faced by organizations during ERP implementation.

For doing systematic review/research synthesis systematic literature review (SLR) was carried out considering research studies published within the time period, i.e. 1999-2018. Three major steps such as planning, conducting and reporting were followed to proceed further in this study. This study attempted to accomplish a critical review of 53 studies out of 103 studies identified, which were published in reputable journals to synthesize the existing literature in the ERP domain. The studies selected have almost addressed different challenges/issues faced by small and large organizations during ERP implementation.

Research synthesis/SLR led to the identification of 31 issues/challenges, which may be termed as most critical based on their occurrence/frequency in past studies included. The topmost ten issues/challenges amongst 31 identified include top management approach, change management, training and development, effective communication, system integration, business process reengineering, consultants/vendors selection, project management, project team formation, team empowerment/skilled people and data conversing/migration. However, other issues/challenges identified such as security risks/data security, cloud awareness, functionality limitations, service level agreements and subscription expenses are more related to cloud ERPs.

The current study is unique in its kind, focusing on the issues and challenges faced by organization during implementing ERP projects. Moreover, this study contributes to understanding and further analyzing management capabilities for developing remedial measures while planning the implementation of an enterprise system in their organizations prior to the occurrence of different issues and challenges ahead. The study also led to understanding and explaining socio-technical issues and their severity.

The purpose of this paper is to describe and analyze the benefits of the application of a requirements engineering framework to assist Enterprise Resource Planning (ERP) development. This framework combines the technology-driven and the process-driven approaches for requirements analysis and implementation. Specific business process modeling methods enhance the framework and assist the formulation of the functional specifications of the ERP system and the management of requirements.

A case study strategy was chosen as the most appropriate method to answer the research question and test the theoretical propositions. The case study’s unit of analysis is a Greek manufacturing company and its ERP implementation project. A requirements engineering framework enhanced with business process modeling methods was applied and the results were evaluated using metrics for ERP implementation success. Data were collected using multiple sources of evidences, including interviews with various stakeholders, structured questionnaires, direct observations, vendors’ functionality papers and company’s documentation.

This study proves that the configuration of ERP’s reference models together with the adjustments of organization’s processes, provided through a structured requirements engineering framework can lead to reliable functional specifications, a smooth transition to an ERP system and, eventually, to successful ERP implementation, concerning its alignment with requirements.

A single case study is conducted in a typical manufacturing company, providing opportunities for further research in other industries, testing in parallel well-defined requirements and other success factors for ERP implementation.

The paper fulfils the identified needs for applied methodologies and frameworks for requirements engineering which can assist successful ERP implementations.

The purpose of this paper is to identify the existence of studies, by exploring the current literatures, on interaction among actors in Enterprise Resource Planning (ERP) implementation.

A new classification framework is offered, along with the two dimensions of ERP implementation: determinants and outcomes, to provide four types of research classes. Hundreds of articles were searched by using keywords from journal data bases. The selected articles were grouped based on the new classification of ERP implementation, followed by an in-depth analysis by using the Context, Intervention, Mechanism, Outcomes logic and the system of systems methodologies (SOSM) framework.

The interactions among actors in ERP implementation have been overlooked, although there is almost always disagreements, misperceptions, and conflicts. Managing the interactions among actors is considered important because common failures in ERP implementation are often caused by mismanaged interactions among the key actors. Unfortunately, the existing research has so far shown a small effort to study how the actors’ interactions are managed.

One key limitation of this research is that the number of actor-related articles is lesser than the factor-related articles. Further research should be conducted to explain how to manage the interactions among the actors in each stage of ERP implementation.

A guidance to prepare the entire organization prior to the ERP implementation to seriously consider the typical conflict among actors on each stage of ERP implementation and its causal factors and how to resolve them.

The importance of understanding typical conflict among actors, its causal factors, and how to resolve them can be extended to other projects or social phenomenon.

This proposed framework is new to the ERP literature and serves to identify and expand further research on actors’ interactions to improve the success of ERP implementation. This is the first research to identify the interactions among actors in ERP implementation by using a clearly structured methodological approach, which is conducted by critically reviewing the ERP implementation literature.

The purpose of this paper is first, to develop a methodological framework for conducting a comprehensive literature review on an empirical phenomenon based on a vast amount of papers published. Second, to use this framework to gain an understanding of the current state of the enterprise resource planning (ERP) research field, and third, based on the literature review, to develop a conceptual framework identifying areas of concern with regard to ERP systems.

Abstracts from 885 peer‐reviewed journal publications from 2000 to 2009 have been analysed according to journal, authors and year of publication, and further categorised into research discipline, research topic and methods used, using the structured methodological framework.

The body of academic knowledge about ERP systems has reached a certain maturity and several different research disciplines have contributed to the field from different points of view using different methods, showing that the ERP research field is very much an interdisciplinary field. It demonstrates that the number of ERP publications has decreased, and it indicates that the academic interest in ERP is driven by an interest in an empirical phenomenon rather than that ERP is a new research discipline. Different research topics of interest are identified and used in developing a conceptual framework for “areas of concern” regarding ERP systems. Finally the usefulness of the framework is confirmed by analysing one specific aspect of ERP research; business process reengineering (BPR) to establish which theories different authors and journals have used in their efforts to explore BPR and ERP.

The findings of the literature study, the structured methodological framework for comprehensive literature review and the conceptual framework identifying different areas of concern are believed to be useful for other researchers in their effort to obtain an overview of the evolution of the ERP research field and in positioning their own ERP research.

The paper provides guidance for researchers with insight into what has been published, where to publish ERP‐related research and how to study it, and in positioning their own interest in ERP systems in the interdisciplinary research field. Access to the EndNote database containing bibliographical data of more than 880 papers can be used in future research and literature analysis. For managers, the conceptual framework can be useful in increasing their understanding of the complexity and areas of concern with regard to the ERP system.

The paper presents a structured methodological framework for analysing a vast amount of academic publications with an interest in an empirical phenomenon, demonstration of how academic interdisciplinary interest in ERP has evolved over time and reached a certain amount of maturity and a conceptual framework of areas of concern with regard to ERP systems.