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PurposeThe purpose of this paper is to demonstrate object‐oriented (OO) features in a language, suitable for artificial intelligence (AI), which will execute in a web environment. Earlier researchers have claimed that such a possibility will pave the way for better enterprise systems of tomorrow.Design/methodology/approachIn this paper, the key OO features, inheritance and polymorphism, are presented using suitable examples. Visual Prolog™ is the language used to demonstrate the examples and the same executes in web environment.FindingsThis premise definitely matches the fundamental rethinking and radical redesign of existing systems which can aptly be called business process reengineering (BPR) in this field of study. A monolithic/homogeneous expert database design based system supporting AI and OO capabilities which executes in web environment is the result of this study.Research limitations/implicationsThere is no argument about the optimality of the search which is carried out while using this environment, which is purely based on the computer language used.Practical implicationsThe power of similar environment has enormous potential in developing better enterprise systems of tomorrow. This declarative environment helps enterprise resource planning (ERP) evolve faster towards strategic decision making rather than remaining as transaction processing systems.Originality/valueIt is hoped that this paper will inspire other researchers in the field of BPR of existing ERP systems.

PurposeThe 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.Design/methodology/approachThe 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.FindingsBased 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.Research limitations/implicationsThe 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.Practical implicationsAs 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.Originality/valueAn 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.

Purpose
Social enterprises are organizations striving to address social issues. These enterprises sell products to be self-sustainable. Social entrepreneurial success depends on the intention of consumers to purchase social enterprise products. This study aims to assess and understand the consumer intention to buy social enterprise products.


Design/methodology/approach
This descriptive study integrates consumers' emotional values with the theory of planned behaviour as a framework. The intention is to investigate the role of customer emotion in mediating the relationship between predictor and predicted variables. A mixed sampling technique is adopted to select sample units from the consumers with a consideration for regional balance. Data from 336 respondents were collected using a survey instrument administered online.


Findings
Structural equation modelling shows that among the three predictor variables, only attitude has a direct impact on consumer's purchase intention, while subjective norms have an indirect impact through the mediating variable (emotional value). Behavioural control showed no effect on consumer's purchase intention of products sold by social enterprises.


Originality/value
The results of this study have theoretical as well as practical implications. The success of social enterprises depends on the acceptance of their products by consumers. The social enterprise can strategize its marketing communications to strengthen the emotional values, attitudes and subjective norms of the consumers so that the market acceptance for these products can be increased.