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The purpose of this paper is to investigate the current capital budgeting practices in Bangladeshi listed companies and provide a normative framework (guidelines) for practitioners.

Data were collected with a structured questionnaire survey taking from the chief financial officers (CFOs) of companies listed in the Dhaka Stock Exchange in Bangladesh. Garnered data were then analyzed using descriptive and inferential statistical techniques.

The results found that net present value was the most prevalent capital budgeting method, followed closely by internal rate of return and payback period. Similarly, the weighted average cost of capital was found to be the widely used method for calculating cost of capital. Further, results also revealed that CFOs adjust their risk factor using discount rate.

The findings of this study might help the firms, policymakers and practitioners to take a wise decision while evaluating investment projects. Additionally, this study’s findings enrich the existing body of knowledge in the field of capital budgeting practices by providing more reliable and comprehensive analysis taking samples from a developing economy.

There has been an increase in research examining whether and how companies disclose climate change impacts and how these disclosures influence capital structure strategies in recent years. However, prior literature has generally focused on developed countries. This paper proposes to examine the impact of voluntary climate change disclosures on corporate financing decisions in an emerging economy.

The dataset includes 335 firm-year observations listed in the Borsa Istanbul (BIST) 100 manufacturing industry firms that participated in the Carbon Disclosure Project (CDP) questionnaire from 2016 to 2020, characterized by high public awareness of greenhouse gas emissions in Turkey. To accomplish this aim, two models have been constructed that link capital structure strategies with voluntary corporate climate change disclosures while controlling for firm-level attributes in terms of size, profitability, market value and free float ratio (FFR).

The significant and negative relationship between the voluntary disclosure of climate-related activities and long-term borrowing is consistent with the arguments that companies with high commitments are unlikely to reduce default risk in emerging markets. This paper also provides empirical evidence that the high size and the level of low profitability magnify this relationship between CDP and financial leverage.

The Paris Agreement seems to be a significant point where corporate lenders have become aware of the commitment of policymakers to fight climate change. The results have significant implications for both managerial strategies and environmental regulatory policy-making issues. In addition, the findings shed light on the strategic behavior of managers in the consideration of climate change risks and related transparency.

This study focuses to develop a common humanitarian supply chain process model (HSCPM) that enables effective enterprise resource planning (ERP) systems for NGOs, and the study also investigates the role of modularity as a dynamic capability that supports creating such model.

A multifocus group study was performed as part of a larger project, the Frontline Humanitarian Logistics Initiative, aiming to establish a common data model that would serve as the backbone of humanitarian ERP systems. Fourteen international humanitarian organizations (IHOs) participated in the process, reaching a consensus on the structure of the process model.

An HSCPM was proposed based on the consensus reached across IHOs. Four degrees of customization differentiating between “generic,” “tailored,” “specific,” and “unique” processes are presented and discussed.

The findings show modularity applied to process as a mean to create dynamic efficiencies and position the modular process model within the dynamic capabilities framework, supporting supply chain responsiveness and expanding the literature on supply chain management (SCM), dynamic capabilities, and humanitarian logistics.

This research proposes a consensus-based data model, facilitating the advancement of ERP systems in the humanitarian context and lays a foundation for interoperability among ERP systems across diverse IHOs.

First attempt to elucidate the specific characteristics and unique processes defining an HSCPM, this study reached an unprecedented consensus for the humanitarian sector, setting the base toward an industry standard.

A maintenance budget is an element of maintenance management (MM) that deals with financial planning for maintenance operations and execution within a maintenance organisation. Developed countries have standardised MM structures which guides maintenance activities. This, however, cannot be said of developing countries, as there are few or no MM standards adopted. Given this contextual setting, the study aims to validate the relevance of maintenance budget (MB) elements utilised in developed countries for developing countries – using Nigeria as a case study exemplar. Also, the study further examines the effectiveness of the validated maintenance budget elements.

The research adopts qualitative techniques and employs the Delphi survey to collect and analyse primary data from an operational perception through structured questionnaires to solicit views from panellists on the subject being assessed. A relative importance index (RII) was used in measuring consensus for the Delphi study outcomes, while a Cronbach Alpha test was carried out on all the MB elements to determine their level of reliability.

The key finding from the study reveals that of the 21 elements that influence the implementation of MB, 10 elements have a very high influence on the MM of buildings (VHI: 9.00–10.00), 5 elements had a high influence (HI: 7.00–8.99) and 6 other elements scored medium impact (MI: 5.00–6.99). The elements of MB that recorded very high influence on prompt MM effectiveness include MB implementation, corruption-free maintenance process, reduction in maintenance expenditure, maintenance financial plan, cost implication of maintained asset, cash flow indexing, prioritisation of maintenance financing, maintenance funding, incorporation of financial indicators and audit of operational maintenance cost.

On a practical note, these elements will guide the built environment professionals in organising maintenance activities to best use limited resources.

Cumulatively, the research presented shows that these elements are similar to those of other countries. Effective MM of buildings is assured when these elements are integral to developing a MB.

The purpose of this paper is to develop an original model and a solution procedure for solving jointly three main strategic fleet management problems (fleet composition, replacement and make-or-buy), taking into account interdependencies between them.

The three main strategic fleet management problems were analyzed in detail to identify interdependencies between them, mathematically modeled in terms of integer nonlinear programing (INLP) and solved using evolutionary based method of a solver compatible with a spreadsheet.

There are no optimization methods combining the analyzed problems, but it is possible to mathematically model them jointly and solve together using a solver compatible with a spreadsheet obtaining a solution/fleet management strategy answering the questions: Keep currently exploited vehicles in a fleet or remove them? If keep, how often to replace them? If remove then when? How many perspective/new vehicles, of what types, brand new or used ones and when should be put into a fleet? The relatively large scale instance of problem (50 vehicles) was solved based on a real-life data. The obtained results occurred to be better/cheaper by 10% than the two reference solutions – random and do-nothing ones.

The methodology of developing optimal fleet management strategy by solving jointly three main strategic fleet management problems is proposed allowing for the reduction of the fleet exploitation costs by adjusting fleet size, types of exploited vehicles and their exploitation periods.

Managers are increasingly looking to adopt the Internet of Things (IoT) to include the vast amount of big data generated in their decision-making processes. The use of IoT might yield many benefits for organizations engaged in civil infrastructure management, but these benefits might be difficult to realize as organizations are not equipped to handle and interpret this data. The purpose of this paper is to understand how IoT adoption affects decision-making processes.

In this paper the changes in the business processes for managing civil infrastructure assets brought about by IoT adoption are analyzed by investigating two case studies within the water management domain. Propositions for effective IoT adoption in decision-making processes are derived.

The results show that decision processes in civil infrastructure asset management have been transformed to deal with the real-time nature of the data. The authors found the need to make organizational and business process changes, development of new capabilities, data provenance and governance and the need for standardization. IoT can have a transformative effect on business processes.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the propositions further.

The paper shows that data provenance is necessary to be able to understand the value and the quality of the data often generated by various organizations. Managers need to adapt new capabilities to be able to interpret the data.

This paper fulfills an identified need to understand how IoT adoption affects decision-making processes in asset management in order to be able to achieve expected benefits and mitigate risk.

This paper aims to analyze the underlying factors of contract renewals in business-to-business (B2B) contracts.

The authors build a unique data set with 296 contracts signed between a major firm supplying petrochemical goods and its 128 customers between 2013 and 2016. They use Insider Econometrics as their methodological approach.

The econometric results suggest that contracts involving higher volume of trade, higher levels of dedicated assets representing seller’s specific investments in each transaction, and contracts comprising more than one product present an increased likelihood of being renewed.

Although limited to a single organization, this paper contributes to management theories focused on buyer–supplier relationships in which coordination between interdependent parties is required.

Practitioners engaged in B2B relationships may benefit from the findings to shape their bargaining strategies in contexts of high levels of asset specificity and bilateral dependence.

This paper contribute to theories related to the strategic negotiation between buyers and suppliers by emphasizing the importance of asset specificity in a nuanced and multifaceted fashion, by highlighting aspects related to resource dependency, and idiosyncratic characteristics on contract renewal.

Adaptability is an inherent quality in building circularity, as adaptability can physically facilitate the reversibility of materials in a closed-reversible chain, also called “loops”. Nevertheless, positioning adaptability in circularity-oriented models could overlook some of the contextual considerations that contribute to the utility for the built environment. This paper reconceptualises building adaptability to incorporate circularity, in order to facilitate for the resource loops whilst preserving the long-lasting functionality in buildings.

An integrative literature review on adaptability and circularity of buildings was conducted using systematic search approach. From the initial database of 4631 publications, 104 publications were included for the final analysis. A comparative analysis of definitions and determinants of both concepts was conducted to reconceptualise circular building adaptability.

The findings of the literature study show that incorporating circularity and adaptability is possible through 10 design and operation determinants, namely configuration flexibility, product dismantlability, asset multi-usability, design regularity, functional convertibility, material reversibility, building maintainability, resource recovery, volume scalability, and asset refit-ability. The study concludes that considering the defined determinants in a holistic manner could simultaneously facilitate: building resilience to contextual changes, creation of asset value, and elimination of waste generation.

This paper expands the relevant bodies of literature by providing a novel way of perceiving building adaptability, incorporating circularity. The practical value of this paper lies in the discussion of potential strategies that can be proactively or reactively employed to operationalise circular building adaptability.