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A key benefit of advances in information technology has been the increased ability to make decisions that integrate different perspectives. Enterprise resource planning software integrates information from traditionally disparate parts of the same organization. Search engines and Internet services allow a user to integrate information from sources all over the world. So what kind of integrated decisions can the e‐commerce supplier or customer make? From a technological perspective, the answer to this question depends on the following: how a given organization presents its information to others, and how it finds the right information from others. A useful tool for e‐commerce suppliers and customers to make integrated decisions is an enterprise model, a computational model of the knowledge about an enterprise – its products, processes, organizational structures, resources, goals, and constraints. Sharable knowledge, once organized and represented in an enterprise model, can then be integrated by the modelled enterprise’s e‐commerce partners. Presents background on enterprise modelling followed by the key managerial and technological challenges in extending traditional models of the enterprise for e‐commerce. Finally, discusses research to address some of these challenges.

Enterprise architecture (EA) is usually adopted as an approach for managing enterprise complexities and aligning business and information technology (IT) capabilities. Although IT practitioners and researchers agree about the potential applicability and benefits of EA in smart cities, little is known about the factors that influence the acceptance and usefulness of EA in smart cities. Thus, EA acceptance and usage remains a central concern of urban research and practice. Similarly, there are fewer studies that explored EA adoption from the context of enterprises that provide digital services in cities grounded on empirical evidence. Therefore, this study assesses the acceptance and usefulness of EA in smart cities context by developing an EA adoption model drawing on the DeLone and McLean Information System (IS) success model.

Based on the identified factors survey questionnaire was designed and sent out to participants which includes IT professionals, senior managers and consultants from 18 organizations in Norway and Ireland involved in a smart city project (+CityxChange) (https://cityxchange.eu/). Statistical Package for Social Science (SPSS) and structural equation modelling using partial least square was applied for data analysis.

The results suggest that service quality and system quality positively impact user satisfaction of EA and user's intention to use EA. More importantly, information quality does not influence user satisfaction of EA, and the user satisfaction of EA and user's intention to use EA significantly influences the net benefit of EA.

This study provides a complete understanding for academicians and IT practitioners regarding the factors and impacts on EA acceptance and use in smart cities. Finally, this study discusses the implications of this research and provides recommendations for future research.

Enterprise activities are intricate, as companies often produce multiple product families which require a complex mixture of production modes. Modelling techniques are commonly applied to expose the behaviour of an enterprise and to investigate the feasibility of achieving business objectives. However, enterprise modelling can be a slow process and models become invalid if business objectives are changed, because their information content may be overtaken by fast changing market conditions. The modelling process is accelerated if new models can use part or all of the information from previous models. This paper addresses these issues by introducing a reusable enterprise model, called a factory data model (FDM). It has been implemented using an object‐oriented approach, and contains five key class hierarchies. The model can be specialised to meet the requirements of individual enterprises; hence, less time and effort are involved in creating new models to satisfy changes in enterprise requirements.

The purpose of this paper is to provide scientific guidance for the integration of industrialization and information (TIOII). In recent years, TIOII has promoted the development of intelligent manufacturing in China. However, many enterprises blindly invest in TIOII, which affects their normal production and operation.

This study establishes an efficiency evaluation model for TIOII. In this paper, entropy analytic hierarchy process (AHP) constraint cone and cross-efficiency are added based on traditional data envelopment analysis (DEA) model, and entropy AHP–cross-efficiency DEA model is proposed. Then, statistical analysis is carried out on the integration efficiency of enterprises in Guangzhou using cross-sectional data, and the traditional DEA model and entropy AHP–cross-efficiency DEA model are used to analyze the integration efficiency of enterprises.

The data show that the efficiency of enterprise integration is at a medium level in Guangzhou. The efficiency of enterprise integration has no significant relationship with enterprise size and production type but has a low negative correlation with the development level of enterprise integration. In addition, the improved DEA model can better reflect the real integration efficiency of enterprises and obtain complete ranking results.

By adding the entropy AHP constraint cone and cross-efficiency, the traditional DEA model is improved. The improved DEA model can better reflect the real efficiency of TIOII and obtain complete ranking results.

Process models are a valuable tool in the design and configuration of enterprises. However, current modeling techniques have shortcomings that prevent them from fully supporting the analysis required to design an enterprise. This is especially true when considering the needs of modeling highly distributed and temporary multi‐company enterprises such as fractal or virtual enterprises. This paper presents a modeling scheme that supports a process‐centered approach to the analysis and design of both conventional and extended enterprises. Using a holon‐based approach to model the components of an enterprise, it allows for the development of integrated business rule, activity, resource, business process, and organizational views of the enterprise using the IDEF suite of modeling methods. The scheme is built around a central IDEF5 model of the enterprise from which the other views are extracted. The paper also describes the technique for developing an enterprise model using the scheme.

The purpose of this paper is to provide the first large data-set regression analysis to test Kerlin’s (2013) macro-institutional social enterprise framework in relation to the country social enterprise models that flow from it. Kerlin (2013) offers a conceptual framework for country social enterprise models that allows countries to retain their unique understanding of social enterprise and better understand the factors influencing its development.

This paper draws on the theory of historical institutionalism and multiple global datasets to test formal hypotheses on the relationship between macro-institutional factors and the size of the social enterprise sector across countries. Social enterprise data were obtained from the 2009 Global Entrepreneurship Monitor dataset. Hypotheses were tested using logistic hierarchical linear modeling.

Results provide support for the framework at a significant level. Nearly half of the variance in the size of the social enterprise sector can be attributed to countries-level factors. We also find that the size of the social enterprise sector varies by economic competitiveness rank, size of the welfare state and collectivist cultural orientation.

The countries included in this study are not representative of the global landscape. Researchers are encouraged to test the framework with a more representative sample of countries, including those in the Global South.

The paper includes implications for policy makers and researchers seeking to facilitate cross-regional dialogue, the transfer and support of social enterprises and research.

This paper fulfills an identified need to advance the field of social enterprise by quantitatively testing established frameworks.

This paper aims to explore the opinions and recommendations of various experts on the integrated cash waqf micro enterprise investment (ICWME-I) model, particularly in terms of its suitability, applicability and prospects in the market.

The research involves primary data which are collected from semi-structured interviews conducted with experts from various backgrounds. Thematic analysis was used to examine the data.

The experts support the suitability of the ICWME-I model in providing financial services to micro enterprises. They highlight the importance of establishing, managing and operating ICWME-I model under the aegis of the State Islamic Religious Council in Malaysia or the corporate sector. They further emphasize that the characteristics of micro enterprises, the element of sustainable funding, the importance of proper management and administration, legal matters and public awareness are key factors that influence the sustainability of the ICWME-I model.

This paper adds to the literature on waqf and micro enterprises especially from the Malaysian context. The paper validates the ICWME-I model in terms of its suitability, applicability and prospects in the market by interviewing experts from various backgrounds.