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This study aims to report the descriptive statistics of cost-system obsolescence (CSO) in the Turkish hotel industry and contingent factors that affect the CSO.

To validate the reflective measurement model, first, an exploratory factor analysis in statistical package for social sciences was conducted. Then, a confirmatory factor analysis using maximum likelihood in analysis of moment structures was performed to establish the reliability and validity of the construct measurements.

The results demonstrate that CSO symptoms did not occur frequently in sample Turkish hotels. Turkish hotels were found to operate in intense competition and a significant relationship between competition intensity (CI) and CSO takes place. The hospitability industry has been perceived as rather uncertain. However, perceived environmental uncertainty (PEU) had no significant effect on CSO, and there was no mediation effect on the relationship between CI and CSO. Turkish hotels were found to perform market-orientated activities at a mediocre level. However, no significant relationship was found between market orientation (MO) and CSO. Additionally, Turkish hotels with decentralized decision-making structures and “prospector-type” strategies were found to have less CSO. On average, Turkish hotels have centralized decision-making structures and pursue “analyzer-type” strategies.

This study contributes to previous literature related to accounting information in the hotel industry. It also aims to give additional insight into Turkish hotels’ competitive environment, MO activities, decision-making structures and strategies and their association with CSO.

The study examined CSO in the Turkish hotel industry and factors that affect CSO. The study results provide additional insight into Turkish hotels’ competitive environment, MO activities, hotel structure and strategy. A new model to test CSO was created and validated using structural equation modeling (SEM).

The paper aims to discuss the likely growth in bank charge reclaim volumes and the readiness of document systems to cope with statement requests within regulatory deadlines.

The fieldwork for this paper examined the state of document management systems at over 30 of the country's institutions that offer current account facilities. The research was conducted through telephone interviews and took place during February and March 2007.

One in every 14 requests for copy statements in pursuit of claims for a refund of bank charges is not being met within the regulatory 40‐days period. If just half of the people who are potential claimants, but who have not yet processed a claim, do so, then this figure will rise to one in every nine requests not being answered within the designated timeline.

Banks are having to invest to meet the peak in claims‐based requests by either duplicating their microfilm archive and employing more people to handle claims, or digitising up to six years, worth of statements for ultra‐rapid retrieval. More strategically‐minded banks, however, are not seeing the current reclaim peak as an isolated incident, and are investing in systems which allow a free‐flow between microfilm archive and short‐term digital systems, so that spikes in enquiry demand can be rapidly accommodated without massive tactical cost in the future.

The paper illustrates how UK banks are coping with growing reclaim volumes.

Since technological lifecycles do not always match hardware/software (HW/SW) lifecycles, obsolescence becomes a major issue in system lifecycle management as it can cause premature and unscheduled replacement of HW/SW subsystems. The purpose of this paper is to report a dynamic model to predict the obsolescence dates for HW/SW subsystems.

The dynamic model estimates obsolescence dates for HW/SW subsystems based on graph theory concept. The model depicts the stages of subsystem obsolescence through transmittances composed of probability and time-distribution elements. The model predicts probability and mean time to obsolescence for line replaceable units (LRUs) over the lifetime of the system. An illustrative example in signaling systems used in a train control system was used to demonstrate the application of this model.

Generally, the short timespan for HW/SW subsystems, which are periodically replaced with newer technologies, results in the development of new product lines by suppliers while they try to support legacy systems for a reasonable period of time. Obsolescence of HW/SW subsystems increases operation and maintenance costs as legacy systems are typically more expensive to maintain. The costs can be reduced by an optimum time to obsolescence derived from the model.

This research adds to the body of knowledge on asset management and maintenance strategy. This paper may be of particular interest to reliability, maintainability and availability practitioners and project managers.

The originality of this paper lies in developing a graph-based model that predicts probability and mean time to obsolescence for LRUs over the lifetime of the system.

The purpose of this paper is to present the model-driven decision support system (DSS) for small and medium manufacturing enterprises (SMMEs) that actively participates in collaborative activities and manages the planned obsolescence in production. In dealing with the complexity of such demand and supply scenario, the optimisation models are also developed to evaluate the performance of operations practices.

The model-driven DSS for SMMEs, which uses the optimisation models for managing and coordinating planned obsolescence, is developed to determine the optimal manufacturing plan and minimise operating costs. A case application with the planned obsolescence and production scenario is also provided to demonstrate the approach and practical insights of DSS.

Assessing planned obsolescence in production is a challenge for manufacturing managers. A DSS for SMMEs can enable the computerised support in decision making and understand the planned obsolescence scenarios. The causal relationship of different time-varying component obsolescence and availability in production are also examined, which may have an impact on the overall operating costs for producing manufactured products.

DSS can resolve and handle the complexity of production and planned obsolescence scenarios in manufacturing industry. The optimisation models used in the DSS excludes the variability in component wear-out life and technology cycle. In the future study, the optimisation models in DSS will be extended by taking into the uncertainty of different component wear-out life and technology cycle considerations.

This paper demonstrates the flexibility of DSS that facilitates the optimisation models for collaborative manufacturing in planned obsolescence and achieves cost effectiveness.

Energy consumption has increased significantly since the 1970s, which has increased demand for sufficient infrastructure in the oil and gas industry. Many top-notch oil and gas companies invested in and equipped their facilities with high-capacity electrical equipment to meet high demand and benefit from high revenues. This is becoming a challenge nowadays for old facilities in the oil and gas industry, as most of the electrical equipment installed has reached or even exceeded its lifetime. Moreover, many of the original equipment manufacturers (OEMs) for electrical equipment from the 1980s are no longer in market today. Therefore, the aim of this study is to develop a proactive, cost-effective obsolescence management framework for electrical equipment in the oil and gas industry, considering the aging factor of the equipment.

Firstly, the study begins with gathering available information and identifying criteria. Secondly, the data collection is evaluated by subject-matter-experts (SMEs) in asset management field to ensure compliance with updated international standards and relevant regulatory requirements. Thirdly, a multi-criteria decision-making process is used to rank criteria. Finally, a scoring system is developed to measure the electrical equipment obsoleteness.

The developed framework will assist decision-makers in making informed decisions about maintenance, replacement or upgrades, using knowledge from previous studies and experts’ input. The result finding indicates that considering aging correction factors when measuring equipment obsoleteness leads to accurately and correctly predicting the electrical equipment obsoleteness score.

Previous studies have addressed obsolescence management without taking equipment age into account, regardless of how the equipment is performing. Thus, the lack of a comprehensive obsolescence management framework that accounts for both cost-effectiveness and the aging factor in the oil and gas industry poses a critical challenge.

The purpose of this paper is to address the need for further development of tools that could be used to mitigate obsolescence within the built environment. Literature reviewed within this paper indicates a distinct gap in research, allowing for rising obsolescence-driven investments within asset systems. In addition to further conceptual development, case study testing is required to validate the use of certain existing methods.

This paper has developed a Boolean obsolescence assessment tool, which was then tested within a case study environment. This year-long case study provided real world data across three asset systems within an operational building.

The findings from this preliminary case study indicate that a Boolean tool of this type has the potential to provide significant insight into obsolescence mitigation. Such a tool, implemented in accordance with onsite asset management processes, has the ability to mitigate and avoid obsolescence-driven investments.

This case study is limited because of its length and size. To mitigate the effects that may have been captured, this research project has been developed and continued.

The model featured within this paper originated from an untested obsolescence indexing technique. This model was adapted and extended to improve its accuracy and functionality, which also involved adding weighting mechanisms, resulting in not only an original model but a novel set of results because of the current lack of explicit testing of similar models.

This paper aims to examine the approach to format obsolescence, preparing for format migration, that has guided most digital preservation work for the last 15 years. It asks why this approach has not rescued significant content in that time, and whether it would succeed in rescuing future content at risk of format obsolescence.

The paper examines the mechanisms of format obsolescence, its historical and current incidence, and identifies attributes of at‐risk formats. It examines each step of the current approach asking how effective it would be for these formats.

The current approach assumes format obsolescence is common, happening frequently to most formats. In fact it is rare, happening infrequently to rare formats. The current approach, based on this mis‐diagnosis, is ineffective. An alternate approach, based on open source and virtualization, is cheaper and more effective.

The paper makes the case that the commonly accepted approach to digital preservation devotes resources to activities that are unlikely to be effective.

To find out the behaviour of firms with objectives of Islamic Shariah when a number of techniques are working simultaneously with the different productive efficiencies.

This is a theoretical paper based on the modified model of layers of techniques which was initially developed by Professors W. Leontief and P. N. Mathur and tries to evaluate the impact of entrance of new techniques on obsolescence in the ethical‐moral cum economic framework of Islamic political economy system.

This study suggests wastage of the resources because of their economic obsolescence and on the cost of future generation is not allowed in the system of Islam and ultimately decrease the social welfare level.

A dynamic cum marginal input‐output table can be constructed on the basis of this framework and formulate the socio‐economic policy.

This research is beneficial to the researchers, policy makers and social scientists for the enhancement of the level of social welfare through this model.

This paper aims to highlight the expanding link between facility management (FM) and building automation and control systems (BACS) through a review of literature. It examines the opportunities and challenges of BACS for facility managers and proposes solutions for mitigating the risks associated with BACS implementation.

This paper reviews various research papers to explore the positive influences of BACS on FM, such as support with strategic decision-making, predictive maintenance, energy efficiency and comfort improvement. It also discusses the challenges of BACS, including obsolescence, interoperability, vendor lock-in, reliability and security risks and suggests potential solutions based on existing literature.

BACS offers numerous opportunities for facility managers, such as improved decision-making, energy efficiency and comfort levels in office buildings. However, there are also risks associated with BACS implementation, including obsolescence, interoperability, vendor lock-in, reliability and security risks. These risks can be mitigated through measures such as hardware and software obsolescence management plans, functional requirement lists, wireless communication protocols, advanced feedback systems and increased awareness about BACS security.

To the best of the authors’ knowledge, no prior academic research has been conducted on the expanding link between FM and BACS. Although some papers have touched upon the opportunities and challenges of BACS for FM, this paper aims to provide a comprehensive overview of these findings by consolidating existing literature.