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This study aims to determine and investigate the main causes of construction project delays. Construction projects are more intricate and associated with significant levels of risk owing to cost overruns. These overruns frequently lead to delays, incomplete work or other related challenges. Building delays are a prevalent problem in the building sector of developing nations. These delays prolong the duration of projects and result in increased costs and conflicts among stakeholders. A conceptual model consisting of the factors causing the delays in heating, ventilation and air conditioning (HVAC) projects was developed and tested in this study.

A comprehensive data collection process was undertaken. A meticulously designed survey was distributed to a diverse cohort of 294 participants, including contractors and sub-contractors from Chennai, Tamil Nadu. The data was collected using stratified sampling, ensuring a representative sample. The data was then analysed using ordinary least squares multiple regression.

The findings of this study have significant implications for the construction industry. They indicate that factors related to sales, clients, design, procurement, finance and labour all contribute to delays in HVAC projects. Understanding these factors can help stakeholders in the industry to better manage and mitigate project delays.

This study is unique because it is a perceptual study of stakeholders. It provides valuable information for analysing and assessing project performance by identifying the primary causes of HVAC project delays. To the best of the authors’ knowledge, the study conducted on HVAC projects is the first of its kind and hence makes a pivotal contribution to the literature on construction projects. Additionally, the study will assist policymakers and consultants in taking necessary steps to minimize delays.

The current business environment is characterized by high levels of uncertainty that affect the global economic system and have the greatest impact on small and medium-sized enterprises (SMEs). With an elevated degree of perceived uncertainty, Chief executive officers' (CEOs) of SMEs find themselves in a situation where the old approaches to decision-making are irrelevant and the time to create new ones is limited. The purpose of this study is to examine whether appealing to personal values helps CEOs cope with a high level of perceived uncertainty and make decisions about the further development of the firm by undertaking business model innovations (BMI).

This study follows a multiple case study research design drawing on data collected from 10 Russian SMEs.

The authors show that CEOs’ communion values lead to innovations in the revenue model and value architecture dimensions of the business model. CEOs who are inclined to agentic values introduce innovations in the revenue model and value offering dimensions. Those executives who balance between the two types of values tend to also balance between different types of innovations in the elements of the business model.

The results indicate that personal values of CEOs play an important role in managerial processes and the strategic choice of a BMI type. Moreover, personal temporal focus orientation serves as a translation mechanism in the relationship between CEO values and BMI in SME settings.

This paper examines the relationship between a prime contractor's financial health and its mergers and acquisitions (M&A) spending in the defense industry. It aims to provide models that give the United States Department of Defense (DoD) indications of future M&A activity, informing decision-makers and contributing to ensuring competitive markets that benefit the consumer.

The study uses panel data regression models on 40 companies between 1985 and 2021. The company's financial health is assessed using industry-standard financial ratios (i.e. measures of profitability, efficiency, solvency and liquidity) while controlling for economic factors such as national productivity, defense budgets and firm size.

The results show a significant relationship between efficiency and M&A spending, indicating that companies with lower efficiency tend to spend more on M&As. However, there was no significant relationship between M&A spending and a company's profitability or solvency. These results were consistent with previous research and the study's hypotheses for profitability and solvency. However, the effect of liquidity was the opposite of the expected result, possibly due to the defense industry's different view on liquidity compared to previous research.

The paper provides insights into the relationship between a prime contractor's financial health and its M&A spending, a topic with limited research. The findings can inform policymakers and regulators on the industrial base's future M&A activity, ensuring competitive markets that benefit the consumer.

This study aims to develop a modelling framework of housing supply dynamics within the context of urban microsimulation systems. Housing markets have witnessed substantial investigation over recent decades, predominantly concerning residential demand. However, comparatively limited attention has been directed towards comprehending the housing supply dynamics. Housing policy disconnects with the developers’ market behaviours, which leads to significant mismatch between the housing construction and affordable housing needs of the population. Research attention should be made in comprehending the residential construction market activities. To address this gap, this study developed an autoregressive distributed lag (ARDL) model and analyzed the temporal evolution of housing construction.

An ARDL model was developed to address the issue of temporal modelling of the housing supply. An empirical study was conducted in the Greater Toronto and Hamilton Area (GTHA) based on a longitudinal housing starts data set from 1998 to 2020. The model integrates diverse variables, including macroeconomic conditions, property development costs, dwelling prices and opportunity costs. Notably, the model captures both the path-dependent effects stemming from supply market fluctuations and the temporal lag effect of influential factors.

The findings reveal that the supply-side’s responsiveness to market condition alterations may span up to 18 months. The model has reasonable and satisfying performance in fitting the observed starts. The methodological foundations laid will facilitate future modelling of housing supply dynamics.

This study innovatively separated the modelling of housing supply within the context of urban microsimulation, into two parts, the modelling of housing starts and completion. The housing starts are determined in a complex and regressive process influenced by both the micro-economic environment and the construction cost and housing market trends. Through the temporal modelling method, this study captures how long it would take for the housing supply to respond to multiple factors and provides insight for urban planners in regulating the housing market and leveraging various policies to influence the housing supply.

How to embed artificial intelligence (AI) in human resource management (HRM) is one of the core challenges of digital HRM. Despite regulations demanding humans in the loop to ensure human oversight of AI-based decisions, it is still unknown how much decision-makers rely on information provided by AI and how this affects (personnel) selection quality.

This paper presents an experimental study using vignettes of dashboard prototypes to investigate the effect of AI on decision-makers’ overreliance in personnel selection, particularly the impact of decision-makers’ information search behavior on selection quality.

Our study revealed decision-makers’ tendency towards status quo bias when using an AI-based ranking system, meaning that they paid more attention to applicants that were ranked higher than those ranked lower. We identified three information search strategies that have different effects on selection quality: (1) homogeneous search coverage, (2) heterogeneous search coverage, and (3) no information search. The more applicants were searched equally often (i.e. homogeneous) as when certain applicants received more search views than others (i.e. heterogeneous) the higher the search intensity was, resulting in higher selection quality. No information search is characterized by low search intensity and low selection quality. Priming decision-makers towards carrying responsibility for their decisions or explaining potential AI shortcomings had no moderating effect on the relationship between search coverage and selection quality.

Our study highlights the presence of status quo bias in personnel selection given AI-based applicant rankings, emphasizing the danger that decision-makers over-rely on AI-based recommendations.

The purpose of this paper is to study the influence of inflated energy prices on the capital structure of Indian manufacturing corporations and to investigate whether the capital structure of Indian firms is driven by demand shocks or supply shocks during the study period.

After conducting a thorough review of the capital structure and inflation-based research studies, panel data-based regression model and correlation matrix have been used as statistical tools for Indian manufacturing sector available with the Centre for Monitoring Indian Economy Prowess database.

The results suggest that variables like the presence of inflated energy prices had adversely influenced the capital structure of Indian corporations. Not only this, the study also highlights that factors pertaining to the demand shock had induced Indian corporations to have higher debt levels in the capital structure.

This study has laid some ground work to explore the influence of inflation on capital structure of Indian firms upon which a more detailed evaluation could be based.

To the best of the authors’ knowledge, this study is the first that explores the influence of inflated energy prices on the capital structure of manufacturing firms in India by using the most recent data.

This research considers new and unexplored explanations of why consumers continue to engage in environmentally damaging, fast fashion consumption. It explains why rational arguments alone do not prevent fast fashion consumption or encourage consumers to move toward greater adoption of sustainable fashion consumption behaviours.

This research compared the effects of a “neutral” control and an “intrasexual rivalry” experimental condition on: (1) likelihood to buy, and (2) willingness to pay, of frequent female fast fashion shoppers (N = 184).

Women use fast fashion as a conspicuous signal to other women, although this is not necessarily why they waste fast fashion purchases. Mating motives appear to produce a significant increase in fast fashion buying behaviour with women feeling intrasexual pressure to engage in consumption, and utilising consumption themselves as a self-promotion strategy.

Retailers tackling wasteful fast fashion consumption can demonstrate that sustainable consumption provides a superior conspicuous signal to fast fashion consumption, instead of solely using rational messaging.

Grounded in evolutionary psychology, this study uses three theories of intrasexual rivalry, conspicuous consumption and conspicuous waste to understand how both the volume and variety of fast fashion consumed are used as conspicuous signals in a mate attraction context.

The purpose of this study is to outline the process, procedures and techniques used for digitization and digital preservation of theses and dissertations (TDs) collection at the Central Library of Quaid-I-Azam University, Pakistan.

Since the phenomenon under investigation is exploratory in nature, a case study qualitative paradigm was used to conduct this study.

The findings of the study offer a brief overview of the cost-effective solution that leveraged in-house expertise for the digital preservation of TDs. This led to the establishment of a knowledge repository hosting a substantial collection of approximately 25,857 electronic theses and dissertations, accessible online since August 2023. This project digitally preserved approximately 9,387 TDs on CDs/DVDs, and scanned about 15,000 print TDs, comprising around 1,399,244 pages. The cost incurred per page, including labor and rent of a photocopy machine, was just Rs 0.548 making it a cost-effective technique. The total cost incurred for this process was just 0.768m Pakistani rupees (equivalent to $2,509.55). The findings revealed key challenges, including administrative, financial, technical and copyright issues, that impede the effective execution of the project.

This case study is limited to one Pakistani public sector university library. This case study holds significance in terms of practical insights and implications for academic institutions and library administrators in other developing countries like Pakistan, which have similar economic, social and technical circumstances.

To the best of the authors’ knowledge, this is the first-ever study conducted to elucidate the cost-effective strategy adopted for digitally preserved TDs without additional financial and human resources while creating a knowledge repository.

Bank–fintech associations are significant globally, establishing purposeful eco-systems towards extending and complementing capabilities, reach and customer experiences. This paper aims to explore 39 leading fintechs in India catering across payments, lending, wealth management, regulation, neo-banks and other banking functions. Alongside fintechs, the research studies 19 leading banks (public and private) to understand the nature of bank–fintech associations in the Indian context.

The research focuses on narratives from leading banks and top fintechs in India, captured from public disclosures and leadership interviews. The study leverages qualitative research techniques, including grounded theory approaches of inductive analysis, to codify interview and narrative observations to discover relevant objectives, scenarios, challenges and outcomes in India-centric bank–fintech associations.

Bank–fintech associations in India are increasingly focusing on financial services portfolio diversification and improvement in customer experience. Simultaneously, both banks and fintechs, differentiate with innovations and extend offerings to target underserved customer segments. The associations are beneficial for both banks and fintechs in transforming offerings and improving efficiency, scale across channels. Through codification of observations, review of existing literature and evaluation of best practices, alongside subject matter expertise, the study evolves a generalized “Association Model”. The model can steer meaningful bank–fintech associations in India and globally. The association model relates to observables like objectives, enablers of bank–fintech associations, challenges and association-driven value outcomes. Built from study of practices, the proposed model is relevant for strategic orientation in bank–fintech associations.

The findings reveal practices in bank–fintech associations in India with significant learning opportunity for organizational leaders globally. Understanding the nature of association is relevant for strategic interventions, particularly in scenarios of inter-organization collaborations. Central banks, policymakers, governments, investors, banks and fintechs can use the derived association model to establish, govern and steer purposeful value-driven associations.

The study examined the influence of humanitarian organizations’ culture and financial service providers’ technology readiness on the usage of digital cash-based assistance by humanitarian organizations, the influence of Humanitarian Organization Culture on Financial providers’ technology readiness and the mediating role of financial service providers’ technology readiness on the relationship between the culture in humanitarian organizations and their usage of digital cash-based assistance.

A quantitative cross-sectional survey design was used. The target population consisted of humanitarian organizations that were members of the Uganda Cash Consortium (UCC). The research hypotheses were tested using SMART PLS version 4.

The culture in humanitarian organizations and financial service providers’ technology readiness positively influences the usage of digital cash-based assistance by humanitarian organizations during humanitarian crises, and humanitarian organizations’ culture positively influences financial service providers’ technology readiness. Financial service providers’ technology readiness fully mediates the relationship between the culture of humanitarian organizations and the usage of digital cash-based assistance by humanitarian organizations during humanitarian crises.

The study mainly focuses on culture in humanitarian organizations and financial service providers’ technology readiness when examining the usage of digital cash-based assistance during humanitarian crises. Further, financial service providers’ technology readiness is examined using a humanitarian organization, financial service provider and beneficiary/persons of concern’s point of view rather than the government’s point of view.

Research examining determinants for digital cash-based assistance usage in humanitarian crises is scarce. Further, empirical research examining the influence of the humanitarian organizations’ culture and financial service providers’ technology readiness in promoting the usage of digital cash-based assistance in humanitarian crises, the impact of humanitarian organizations’ culture on financial service providers’ technology readiness and the mediating role of financial service providers’ technology readiness on the relationship between the culture of humanitarian organizations and usage of digital cash-based assistance in humanitarian crises are non-existent. The majority of research and grey literature focuses on how digital cash-based transfers can be used to enhance financial inclusion in refugee contexts.