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Information science, or informatics, has almost from its beginnings been characterized by a seemingly inordinate self‐consciousness, exemplified by concern with its status vis‐à‐vis other disciplines, with its status as a science, and with the significance of its objects of investigation and the goals of that investigation. The bibliography by Port, and the survey by Wellisch, of definitions of information science, and the historical survey by Harmon, all give substantial evidence of this self‐consciousness. Some aspects of this attitude are of course due to the social and political problems facing any new discipline (or field of investigation aspiring to such status), such as indifference or hostility from the established academic community, the fight for a share of limited research and development funds, the inferiority complex associated with having no well‐defined methods of investigation in a social situation which requires them for acceptance, and so on. Other aspects of this self‐consciousness may, however, be more related to strictly internal, ‘scientific’ concerns; that is, to problems within the theoretical structure of information science which must be solved in order for substantial progress in solving its practical problems to be made. This review surveys contributions to one such problem: the question of a suitable concept of information for information science.

The purpose of this paper is to provide a good insight into the use of fuzzy Analytical Hierarchy Process (fuzzy AHP) approach that is a multi‐criteria decision‐making methodology in evaluating the benefits of information‐sharing decision problems.

In this study, the integration of AHP with the fuzzy synthetic extent analysis method (fuzzy AHP) is proposed in evaluating the benefits of information‐sharing decision problems as a framework to guide managers.

Findings demonstrate that the customer requirement and operational information alternatives are the preferred key decisions, which all supply chain partners might agree to share with one another. Further, it can also be concluded that the planning and financial information alternatives have almost the same importance.

Fuzzy AHP is a highly complex methodology and requires more numerical calculations in assessing composite priorities than the traditional AHP and hence it increases the effort. In addition, fuzzy methodology could be extended with the other multi‐criteria decision‐making (MCDM) methods such as Analytical Network Process (ANP), TOPSIS, ELECTRE and DEA techniques in solving such a problem.

There is a lack of research in the literature to deal directly with the uncertainty of human judgements in evaluating the benefits of various information‐sharing decisions in a supply chain. Therefore, fuzzy AHP is an appropriate methodology to select the various types of information and has the ability to be used as a decision‐making analysis tool since it handles uncertain and imprecise data. In addition, the paper is especially of interest to managers as they make decisions on which types of information they should share with their supply chain partners.

Each building project demands an integrated method for information and requirement management in its life cycle. The main purpose of this paper is to explore the major obstacles in integrated life cycle information management and recognize the potentials of CoClass as the new Swedish digital classification system to tackle them throughout asset life cycle.

The industry viewpoint toward the current status of asset information management considering ISO 19650-1 principles and the existing obstacles and the industry practitioners' ideas regarding CoClass capabilities and applicability were captured and analyzed. A total of 13 semistructured interviews were conducted with the AECO industry professionals to have an understanding of information requirement management. Then the results were analyzed qualitatively, using the NVivo 12 software. Different attributes of a component (heating panel) in a meeting room according to CoClass and data deviations throughout the asset life cycle were elaborated.

This study reveals some obstacles in information management process in seven categories in relation to: (1) the need to employ information exchange platforms as common data environments (CDEs) by all actors from early stages; (2) the communication issues caused by lack of utilizing common languages; (3) the costly and time-consuming implementation process; (4) the misunderstandings in terms of data communication between service providers and owners; (5) the definition and fulfillment of information requirements as well as keeping track of data deviations throughout asset life cycle; (6) the information update difficulty; and (7) the need for training practitioners dealing with new systems such as CoClass.

The research explores the major obstacles in information requirement management concerning the practical implementation of the new Swedish classification system, CoClass, supporting the asset life cycle.

An e‐fulfillment system is designed to meet the high order volume and stringent customer service requirements of global business‐to‐consumer e‐commerce. The system converts the traditional warehouse into a multi‐channel e‐fulfillment center. In the e‐commerce environment, some of the toughest decisions must be made on little or no hard information. In this study, the nature of e‐business and the typical fulfillment process are discussed. The authors further examine the strategy and operational requirements for e‐fulfillment. This article is concluded with the implication of a successful e‐fulfillment system, a suggested design of an e‐fulfillment center, and the future research focuses.

This paper aims to describe the development and testing of an employer’s information requirements (EIR) template and guidance document designed to meet client and facility management (FM) needs in the building information modelling (BIM) process.

A qualitative design approach was used and triangulation of methods which included a focus group with the British Institute of Facilities Management (BIFM), semi-structured interviews with the case study Glasgow Life Burrell Renaissance Project who trialled the EIR and peer-reviews and interviews with BIM/CAFM experts from the BIM Academy and FM180.

Specific guidance to help clients and facility managers prepare key BIM documents like the EIR are needed. They are aware of industry BIM standards and guidance but often not in detail. The Glasgow Life case study illustrated the EIR as a useful collaboration-tool to bring together stakeholders in early planning stages to understand client information needs.

Assets and buildings account for most of the energy and material use in society. A well-structured EIR will help ensure the right information is available to enable optimisation of running costs and utility-use over their whole life, thus contributing to long-term sustainability.

This paper provides a new EIR template and guidance document ideal for practitioners in industry as a practical starting point to plan the client information requirements for BIM projects. It can be downloaded at www.bifm.org.uk/bifm/knowledge.

How organisations interact with and respond to environmental pressures has been a long-term interest of organisational scholars. Still, it remains an under-theorised phenomenon from a project perspective. So far, there is limited understanding of how projects, which are composed by a constellation of organisations, “respond” to institutional pressures that are exerted on them. This research takes the perspective of projects as adopters/implementers of institutional pressures and analyses how they interact with, and respond to, such pressures. More specifically, this research explores how construction projects respond to the pressure of a Building Information Modelling (BIM) mandate.

Multiple in-depth case studies were conducted to explore the practical implementation of a BIM mandate in the UK and understand how the construction projects responded to the coercive pressures to implement a new policy mandate for process digitalisation. Multiple sources were employed for data collection and the data were analysed inductively. The findings identify a hybrid response comprising four distinct ways that projects might respond to an institutional pressure.

We find that projects decouple both from the content and from the intended purpose of a policy, i.e. there are two variance of a policy-practice decoupling phenomenon in projects. The findings also reveal the underlying conditions leading to decoupling.

We advance decoupling literature so that it better applies to the temporary, distributed and interdependent work conducted via projects. Second, we define decoupling in projects as a provisional and fragmented process of wayfinding through heterogeneous institutional spaces, and discuss the potential policy-practice assemblages in projects, influenced by how, if and when project members' activities decouple from the many and often contradicting institutional pressures they face. Third, we discuss how the qualitatively different forms of decoupling that we identified in our work may act as part of a legitimation process in ambiguous situations whereby projects might share a resemblance of conformity with institutional pressures when they are de facto only partially conforming to them.

The purpose of this study is to verify that if applications categories are segmented and resources are allocated based on their specific category, how effective scheduling can be done?.

This paper proposes a scheduling framework for IoT application jobs, based upon the Quality of Service (QoS) parameters, which works at coarse grained level to select a fog environment and at fine grained level to select a fog node. Fog environment is chosen considering availability, physical distance, latency and throughput. At fine grained (node selection) level, a probability triad (C, M, G) is anticipated using Naïve Bayes algorithm which provides probability of newly submitted application job to fall in either of the categories Compute (C) intensive, Memory (M) intensive and GPU (G) intensive.

Experiment results showed that the proposed framework performed better than traditional cloud and fog computing paradigms.

The proposed framework combines types of applications and computation capabilities of Fog computing environment, which is not carried out to the best of knowledge of authors.

An enterprise exists as a congress of information and knowledge: it is the knowledge embedded in it, and the processing of information throughout it, that lead to the strategy, change and action that convert the enterprise into a dynamic reality. Management, however else it may be defined, is also the process that ensures that information and knowledge are effectively deployed in an enterprise's interests. In this the manager is joined by all the knowledge workers in the organization—the designers, researchers, engineers, trainers, administrators, accountants — who provide the enterprise with its collective brainpower. That brainpower, focused on the wellbeing and success of the enterprise, is the true generator of value added and must therefore be the chief asset of any business or institution.

Currently the healthcare industry in the US is not only contending with relentless pressures to lower costs while maintaining and increasing the quality of service but is also under a stringent timeline to become compliant with the health insurance, portability and accountability act (HIPAA) regulatory requirements. Robust healthcare information systems (HCIS) become critical to enabling healthcare organizations address these challenges. Hence, it becomes an imperative need that the information that is captured, generated and disseminated by these HCIS be of the highest possible integrity and quality as well as compliant with regulatory requirements. This paper addresses this need by proposing an integrative framework for HIPAA compliant, I*IQ HCIS. It bases this framework on an integration of the requirements for HIPAA compliance, the principles of information integrity, as well as the healthcare quality aims set forth by the Committee on the Quality of Healthcare in America.

This paper describes a framework in developing MIS‐user interfaces to highlight how generic management information systems can be made more useful to managerial decision making. The suggested framework has been implemented in a medium‐sized job shop manufacturing company. Object‐oriented programming technology is used to provide flexible access to information stored by a generic MIS, namely ManuSoft. To improve the usefulness of the MIS, 20 interfacing programs relating to the information requirements at operational, planning and strategic levels have been developed and implemented. For purposes of illustration, three such programs have been described in this paper.