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Obsolescence is a decline or loss of utility of an object, building or product. Different types of building obsolescence decrease buildings’ utility and shorten their service life. The purpose of this paper is identification of building obsolescence types and the relevant factors that affect buildings to become obsolete. It is also intended to categorise building obsolescence types to provide a contribution towards increasing building service life and delivering sustainability.

A systematic literature review is applied to conduct this research. It follows five steps: (1) formulating the research question; (2) locating studies; (3) selecting and evaluating relevant studies; (4) analysing the findings; (5) reporting and making use of the results.

Via this study, it is revealed that there are 33 types of building obsolescence. They are clustered in 10 categories regarding their conceptual and causing aspects and are presented based on their recurrence in the literature. According to the findings, economic obsolescence (including economic, financial and market obsolescence types) and functional obsolescence (including functional, use and utility obsolescence types) are the most remarkable categories.

Investigating the literature makes it clear that building obsolescence types have been studied intermittently with infrequent profound exploration of the relationship between them. This paper presents a comprehensive identification of building obsolescence types and introduces obsolescence categories that classify connected obsolescence types. It is a new framework for further studies on building obsolescence to find more effective prevention strategies to mitigate social, economic and environmental consequences of building obsolescence.

This study aims to identify an empirical process model and to delineate success factors (both success-enabling factors and success-inhibiting factors) and special insights useful for managerial interventions for the transfer of spin-off technologies from a public-funded mission-oriented research organization (PMRO) dealing with nuclear technologies in India.

Empirical qualitative case study research was conducted on purposively selected five real-life cases by semistructured interviews with the actors involved in tech-transfers from the PMRO. Within-case content analyses were carried out as per grounded theory. The emerging subprocesses were mapped into a conceptual theoretical model preconstructed based on a literature review. Success factors and special insights were identified by reflecting upon the results of analyses. Cross-case analysis was carried out to yield organization-wide findings.

Organization-wide process model of tech-transfers, success factors and special insights emerged from five cases of technology transfer cases from a PMRO of India.

A limitation stems from the inevitable subjectivity due to considerable presence of human element, and qualitative methods used to study a limited number of cases. However, purposive sampling of cases and traceability of evidence built into the procedure of content analysis largely allay this limitation.

The findings of this research would be useful to practitioners such as scientists, tech-transfer officers, executives of transferee firms and the policymakers of the PMROs for taking well-informed decisions.

Original research was carried out by eliciting field information from the actors of real-life cases. Two of the authors being affiliated with the PMRO makes the research realistic.

Since the emergence of the Internet in the twentieth century and the rapid growth of different types of information technologies (IT), our lives, either personal or professional, have become digitised. Adoption and diffusion of IT enhance individuals and organisational performance, yet scholars discovered a dual nature of IT in which IT usage may have negative aspects too. First, the inability to cope with IT in a healthy manner creates stress in users, termed technostress. Second, digitisation and adoption of new technologies (e.g. IoT and multi-cloud environments) have increased vulnerabilities to information security (InfoSec) threats. Although organisations utilise counteraction strategies (e.g., security systems, security policies), end-users remain the top source of security incidents. Existing behavioural research has approached technostress and InfoSec independently. However, it is not clear how technology-stressors influence employees’ security-related behaviours. This chapter reviews the interaction effect of these concepts in detail by proposing a conceptual model that explains that technostress is the main reason for employees’ non-compliance with security policies in which users with high-level perceptions of technostress are more likely to violate InfoSec policies. Counteraction strategies to mitigate technostress and security threats are also discussed.

In highly digitalised countries such as Denmark, statistics show that one out of four employees has experienced high levels of stress. However, despite ample research evidence on the presence of technostress, the knowledge on this phenomenon is not yet part of the material and guidelines from official authorities. Previous research on technostress provides quantitative psychological and neurophysiological perspectives on technostress, focussing on the individual, the technology or the technological environment. The authors see this as a limited approach, as it leaves out the social environment in which technostress arises. The authors aim to expose the sociological mechanisms that contribute to technostress by using the sociological lens of obligation. The authors ask: ‘What is the knowledge that the sociological lens of obligation can bring to the theoretical understanding of technostress?’ To answer our research question, the authors employ an embedded case study in Denmark by looking into the existing political material and interviews with 14 employees across 6 organisations. The authors find that stress in practice is mostly addressed from a response perspective, which points to the individual. This view is inherent in how the individuals take responsibility for the technostress they experience. Another critical finding from our data is that technostress is socially constructed. The authors contribute to theory by using a new-to-IS theory and a qualitative approach to technostress research, which allows us to uncover how the social construction of obligation impacts the individual employee. Our theoretical contributions point to a need for practice to move in the direction of seeing technostress as a societal, rather than solely individual, responsibility.

Despite the fundamental role that digital social media could play in the process of consumer co-creation, academic research on this topic is still in its infancy. The overall aim of the chapter is to consider how digital social media can be used by firms to encourage and sustain co-creation behavior.

We draw a multiple case analyses, focusing on the insurance industry, particularly on the Italian insurance market.

We particularly extend the literature on value co-creation by proposing a composite framework that enables us to grasp the different strategies that firms implement in their different manners of employing digital social media.

We set forth a research agenda for managerial scholars that can help understand how social media should be incorporated in the day-to-day operations of insurance companies.

This study explored the relationship between employees' cognitive capabilities and firm performance by exploring the moderating role of decision-making style and the mediating effect of knowledge creation. Understanding the role of cognitive capabilities in value creation is crucial for human resource management to achieve the anticipated organizational performance.

Structural equation modeling, cognitive skills theory, cognitive skills acquisition theory and a knowledge creation framework were applied.

The first finding suggests that only A-shaped skills predict higher knowledge creation, while T-shaped skills do not. Second, knowledge creation predicts higher financial performance and a lower level of financial uncertainty. Third, T-shaped skills have no indirect effect on financial performance or financial uncertainty. Fourth, A-shaped skills exerted significant indirect effects on financial performance and uncertainty. Fifth, the rational decision-making style did not moderate the link between knowledge creation and financial performance, as opposed to the intuitive decision-making style.

A review of existing research indicates a lack of studies examining the effect of cognitive skills on organizational outcomes and contingencies under which cognitive skills lead to superior outcomes. This study advances research on T-shaped and A-shaped skills and knowledge creation by empirically exploring their interrelationships with financial performance. Managerial implications and suggestions for future research are also highlighted.

This study aims to present the findings from a series of case studies that examine the problems faced by countries seeking to introduce value-based recurrent property taxes to replace the ones levied on the basis of area or inventory value. It identifies that two of the most significant barriers are the absence of comprehensive list of taxable properties and inadequate data on transaction prices. Both of these can be overcome with sufficient resources, but this raises the question as to why governments are reluctant to do so, in spite of the advantages of such a change.

The paper makes particular use of case studies of Moldova, Poland, Serbia and Turkey, which have explored the potential of introducing value-based recurrent property taxes and the issues they have faced. The case studies have been produced by participant observers who have had the opportunity to examine developments over long periods of time. The case studies are set against a wider statistical analysis of the role of recurrent property taxes in tax systems.

Putting in place comprehensive systems for registering properties and recording their characteristics and systematically collecting data on transaction prices require significant investment over a long period of time. This requires commitment on behalf of governments. Governments may be reluctant to support this because of the opposition such reforms can face unless confronted with compelling fiscal or external pressures to act.

The issues identified are the ones that many countries seeking to introduce value-based recurrent property taxes will face and puts forward how they can be tackled. The case study countries are middle-income ones with relatively well-developed infrastructure, which low-income countries may lack.

The solutions to overcoming the barriers to value-based recurrent property taxes encountered in the case study countries are the ones that are applicable to many other countries, who can learn from their experience.

The paper provides a perspective on overcoming the issues encountered in introducing value-based property taxes from the viewpoint of those who have been involved in working out ways of overcoming them and so provides insight that is a useful addition to the literature.

The article aims to examine why residential property price indices (RPPI) are important, particularly in the European Union (EU) with its highly integrated financial system and examines the problems in developing a pan-European price index that aggregates the indices of different countries.

The reasons why RPPI are important is explored through a review of the literature on residential price bubbles and the issues with the indices through studies of individual examples.

Financial integration in the EU has taken place without adequate consideration having been given to diversity in residential property markets. The development of means of monitoring them has lagged behind integration with the national price indices using a variety of methods and approaches to data that limit the extent to which they can be aggregated.

The article shows the need for better quality data about house price trends in Europe if the consequences of future bubbles are to be avoided. Current initiatives are unlikely to satisfy this, as they leave too many choices about methodology and data in the hands of individual countries.

Ordinary direct capitalization is normally considered procyclical in its present form (De Lisle Grissom, 2011); for this reason, an alternative approach to direct capitalization may be useful in the determination of a robust opinion of value. The valuation standards propose an alternative determination of terminal value in the discounted cash flow analysis, recommending that for cyclical assets, the terminal value should consider … “the cyclical nature of the asset and should not be performed in a way that assumes “peak” or “trough” levels of cash flows in perpetuity” (IVS 105 Valuation Approaches and Methods para 50.21 lett e).

The introduction in International Valuation Standards (IVS) of Cyclical Assets raises several questions for the community of real estate professionals and academicians (IVS, 2022, 105 Valuation Approaches and Methods para 50.09 lett d). Cyclical assets can be defined as property whose value is “influenced by upturn and downturn of the market in a significant way” (d’Amato et al., 2019).

The paper proposes different solutions to the problem. The determination of the exit value using cyclical capitalization allows for a prudent assessment of the value and may be used either as a valuation procedure or a risk analysis method.

The valuation comparison with the traditional valuation techniques will be based on an iteration of exit value in order to determine the effects of the valuation procedure on the opinion of value.

The implication of the valuation procedure is the introduction of a countercyclical valuation method to determine the exit value in order to reach stable and reliable valuations for income-producing properties.

These models may have a social implication, providing valuation for income-producing properties that may deal with the property market cycle in a more efficient way, providing efficient valuation for banks and institutions.

The paper is the first application of such a valuation procedure to the determination of exit value.