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Evaluation is the judgement or determination of value. As value is, by definition, an emotive word it seems appropriate to begin by quoting the definitions of value that are used within the context of this paper.

This paper presents the major findings of recently completed research in the UK concerning the attributes of information as an asset and its impact on organisational performance. The research study employed an automated information asset- and attribute-scoring grid exercise and semi-structured open-ended interviews with 45 senior UK managers in four case study organisations. The information asset-scoring grid was developed to provide a simple visual representation of information assets and attributes using Excel charts. The semi-structured open-ended interviews aimed to identify the attributes of information assets considered significant by 45 senior UK managers and to explore relevant issues such as the value of information and organisational effectiveness.

The purpose of this paper is to fill a gap in the literature, by investigating the relationship between users’ perceptions of the value of the information that they are handling, and their resultant level of compliance with their organisation’s information security policies. In so doing, the authors seek to develop a theory of value-driven information security compliance.

An interpretive, grounded theory research approach has been adopted to generate a qualitative data set, based upon the results of 55 interviews with key informants from governmental agencies based within Brunei Darussalam, complemented by the results of seven focus groups. The interviews and focus groups were conducted in two phases, so that the results of the first phase could be used to inform the second phase data collection exercise, and the thematic analysis of the research data was conducted using the NVivo 11-Plus software.

The findings suggest that, when assigning value to their information, users take into account the views of members of their immediate work-group and the espoused views of their organisation, as well as a variety of contextual factors, relating to culture, ethics and education. Perhaps more importantly, it has been demonstrated that the users’ perception of information value has a marked impact upon their willingness to comply with security policies and protocols.

Although the authors have been able to develop a rich model of information value and security compliance, the qualitative nature of this research means that it has not been tested, in the numerical sense. However, this study still has important implications for both research and practice. Specifically, researchers should consider users’ perceptions of information value, when conducting future studies of information security compliance.

Managers and practitioners will be better able to get their colleagues to comply with information security protocols, if they can take active steps to convince them that the information that they are handling is a valuable organisational resource, which needs to be protected.

The central contribution is a novel model of information security compliance that centre stages the role of the users’ perceptions of information value, as this is a factor which has been largely ignored in contemporary accounts of compliance behaviour. This study is also original, in that it fills a methodological gap, by balancing the voices of both user representatives and senior organisational stakeholders, in a single study.

An approach to providing an inclusive model for business value analysis is presented, where “inclusive” means that broadly defined stakeholder values are added to conventional financial criteria. A value oriented model is an interesting extension of accounting and information provision, with information seen as the carrier of value. Modelling and evaluation can be thought of as an information process that is central to steering a business towards its goals and maximising its value. The analytical expression of the model deals rigorously with both financial and intangible values, serves as a test‐bed for strategic explorations, can cover environmental and ethical risk, and can optimise a business with respect to both financial and inclusive criteria. Gathering the information and operating a model of this kind is akin to providing a strategic information service that integrates all the information into a single strategic picture. The model is a valuable information resource.

The purpose of this paper is to examine the possible implications of applying the infonomics methodology and measurement model within records and information management (RIM) to reduce organizations’ electronic footprint. By analyzing content using infonomics, it is possible for RIM managers in the private sector to keep only information with the highest value and change their behavior around keeping content beyond its infonomic value. This, in turn, may reduce the stress upon natural resources that are used in maintaining information data centers.

This paper examines different theories of evaluating information value and describes the role of infonomics in analyzing information as an asset to minimize its electronic footprint. Its focus is on the implications of applying a set of measurements that go beyond the information valuing models currently used in RIM; thereby, this study addresses how information that has superseded its business value may be eliminated.

This paper concludes that infonomics could elevate RIM function and alter how RIM managers within the private sector value information. Further, the inclusion of infonomics into RIM models may create new roles for RIM managers and extend the influence and reach of RIM. This may also lead to valuing all content and eliminating content that no longer has any business value. This may also eliminate the need for large data storage centers that harness and exhaust nonrenewable resources. Future developments must be watched and analyzed to see if this becomes a norm.

This paper will be of interest to stakeholders responsible for valuing information, appraisal of information, life-cycle management, records management, InfoSec and big data analytics.

The work is original but parts of this subject have been previously addressed in another study.

The Internet is a multi‐channel distributor of data, information and knowledge. Information has value. It is becoming a separate entity to people and artefacts and is taking on the mantle of a commodity. Information affects the value chain and, in the network of networks known as the Internet, information management is an important corporate function. The value of information will decline as the volume of it increases, and it will gain added advantage when endorsed by trusted channels. Without valued information, the value of products is low to non‐existent. Ethics in the provision, management and protection of information is now an important, if not pivotal, management function.

The purpose of this paper is to investigate the processes, tools and techniques of strategic asset information management (AIM) for built assets, and how the asset information content enhances the proficiency of asset managers to effectively manage their assets throughout their life cycle by utilising building information modelling (BIM) and asset management (AM) systems. For most asset managers, the problem is not the lack of information about their assets, but the abundance of it, and most especially the absence of established processes and protocols to effectively manage large sets of asset data. Therefore, it is crucial to develop a strategy to control and manage this information in order for asset managers to harness its potential and realise value from their organisation’s information assets..

A qualitative case study strategy was used to investigate the effective management of asset data in an AIM system. Seven sets of interviews were conducted and nine respondents were interviewed. These were analysed through qualitative thematic analysis using the NVivo software.

The paper identifies six dimensions of value that BIM contributes to AM, which are: management, commerce, efficiency, industry, user and technology value. Also, the paper demonstrates that there is real value to be derived by the asset owner from the effective management of asset information. The study highlights that the value of BIM is not inherent but would require many other processes to deliver value to the organisation.

The key value of the paper is that it identifies important techniques for managing asset data and how asset information is collected, organised, stored, controlled, analysed, secured, shared and reported within a virtual AIM system for strategic management-based decisions.

This paper sets out to present the concept of the value of information, review the descriptive, rational, social and behavioral approaches for assessing the value of information, and explain why user‐centered rather than information‐centered evaluations are the most relevant.

The paper starts by highlighting the main facets and market characteristics which influence the value of information. Next, four approaches to assessing the value of information are explained, including a discussion of advantages and limitations of each approach. The approaches reviewed include descriptive, rational, social and behavioral research. Finally, an information value assessment recommendation is given and a theoretical framework is offered.

The descriptive approach is useful in raising new angles for theory development. The rational approach assumes that the value is inherent in information and offers models that describe how information should be valued. The social perspective suggests that markets are enhanced by social activity. The behavioral aspect teaches that value perception changes by person and circumstance and is a key influence on information markets.

This paper offers a concentrated multi‐dimensional theoretical basis on a topic of central importance to anyone interested in Internet research, information consumption and production. Theory offered here constitutes a basis for a large number of potential empirical research endeavors.

The aim of this research is to demonstrate the importance of placing a valuation on information assets and to propose a new valuation technique that complements existing valuation methods and provides improved results. It seeks to answer the following research question: what are the attributes of information relevant to value and how can they be used to produce a valuation of the information?

Using a test bed, hosted on the college's intranet for 12 days, three important variables were calculated: accessibility, lifespan and outcome across five files. Calculating these three variables is essential to conducting an accurate valuation of the information asset.

The research demonstrates the relationships between these variable (accessibility, lifespan and outcome) as well as showing that they have a critical impact on the value of the information asset. The findings provide a strong rationale for the practitioner or researcher to adopt the model in real time situations. The correlation coefficients of our attributes are: 0.9996 for accessibility and lifespan; 0.9755 for accessibility and outcome and 0.9754 for lifespan and outcome.

Due to the sensitive nature of some of the information held by the organization, the observations were somewhat limited. However, the model could be replicated with a collaborative arrangement between the organization and academia.

This paper aims to provide a new model for risk management that can be used effectively to conduct a valuation of information assets. The approach will help the organization to better quantify their information assets and will prove to be a useful tool for the next generation of Information security managers.

This paper determines the valuation of information assets based on three variables; accessibility, lifespan and outcome. These variables have been identified from the extensive literature review in the area of intangible assets.

Drawing upon agency theory, this study aims to assess the value relevance (VR) of accounting information released by non-financial firms listed on the Kuwait stock exchange for the period of 2015-2018. Also, the influence of institutional ownership level and other explanatory variables, namely, book value per share, earnings per share, growth in assets and changes in financial leverage on share prices is examined.

To test the hypotheses, the Ohlson (1995) model is extended. This study uses panel data analysis and applies appropriate statistical techniques to measure empirical relationships.

The results show that the VR of accounting information released by the Kuwaiti non-financial listed firms varies over the period of 2015-2018. Book value and earnings have significant and positive effects on share prices. In recent years, the VR of book value information has been growing, while that of earnings information has been declining. Institutional ownership level has a significant and positive influence on the VR of accounting information released by the Kuwaiti non-financial listed firms. The findings confirm a positive power, signalling growth in assets regarding the share prices. However, no significant relationship between changes in financial leverage and share prices is found.

The findings of the study provide evidence of the linkage between VR and institutional ownership level, which promotes the understanding of the influence of institutional investors on a firm’s market value. Empirical evidence from Kuwait will have international implications and can serve as a guide for accounting researchers studying other emerging markets. Capital market regulators can provide guidelines in the form of information characteristics and elements of financial statements that need improvement. Finally, the findings assist non-financial listed firms to enhance the quality of accounting information by identifying the strengths and weaknesses in their financial reports.

This study extends the previous literature by investigating a relatively new set of data in more depth than that has been examined by prior research, which focusses on the relationship between accounting information and the firm’s market value.