Search results

The paper aims to develop a strategic conceptualization and measurement scale of organizational resilience to support researchers examining how small firms prepare and respond deliberately to general disruptions in the operating environment over more extended time frames.

The paper uses a four-step process to develop, present and test (for predictive validity) a scale of strategic organizational resilience for frequent events or those needing long-term responses.

The resulting seven-factor measurement scale of organizational resilience consists of readiness, slack, problem-solving, flexibility, connectedness, adaptiveness and proactiveness.

The literature on organizational resilience explains how organizations recover from rare but catastrophic events by focusing on adaptation principles and short-term survival. The broader conceptualization presented here enables the study of organizational resilience in small-medium size enterprises (SMEs) across more frequent and pervasive events, such as financial crises, industry downturns and other forms of structural change and technological disruption. This is operationalized in a measure that includes new strategic factors associated with forward-planning and more traditional operationally focused elements.

This research's main objective is to investigate the relationship between consumption expenditure and consumer confidence in the USA and to study their effects on US economic revivalism during and after the coronavirus disease 2019 (COVID-19) shock.

The authors use Michigan's monthly Consumer Sentiment Index and its five components from January 1978 to April 2020. The study is unique in quantifying the potential variations in US consumer confidence due to COVID-19 under different scenarios, by providing a projection until December 2021. It also estimates the time needed for recovery and offers guidance to policymakers on ways to contain the negative impacts of COVID-19 on the economy by restoring consumer confidence.

All scenarios show a gradual recovery of consumer confidence and consumption expenditure. This study recommends expansionary policies to encourage consumption expenditure to generate additional demand and boost economic growth and job creation.

Though this study is limited to the US consumer confidence index, it offers significant implications for marketers, customers and policymakers of other developed economies. The authors recommend expansionary economic policies to boost consumer confidence, raise economic growth and result in job creation.

The study is unique in quantifying the potential variations in US consumer confidence due to COVID-19 under different scenarios; by providing a projection until December 2021. It also estimates the time needed for recovery and guidance for policymakers on ways to contain the COVID-19 shock negative impacts on the economy by restoring consumer confidence.

This study reviews existing cryptocurrency research to provide answers to three puzzles in the literature. First, is cryptocurrency more like gold (i.e., a commodity) or should it be classified as a new financial asset? Second, can we apply our knowledge of the traditional capital market to the emerging cryptocurrency market? Third, what might be the future of cryptocurrency?

Bibliometric analysis is used to assess 2,098 finance-related cryptocurrency publications from the Web of Science (WoS) Core Collection database from January 2009 to April 2022. Three key research streams are identified, namely, (1) cryptocurrency features, (2) behaviour of the cryptocurrency market and (3) blockchain implications.

First, cryptocurrency should be viewed and regulated as a new asset class rather than a currency or a new commodity. While it can provide diversification benefits to the portfolio, cryptocurrency cannot work as a safe haven asset. Second, crypto markets are typically inefficient. Asset bubbles exist and are exacerbated by behavioural finance factors. Third, cryptocurrency demonstrates increasing potential as a medium of exchange and store of value.

Extant review papers primarily study one or two particular research topics, overlooking the interaction between topics. The few existing systematic literature reviews in this area typically have a narrow focus on trend identification. This study is the first study to provide a comprehensive review of all financial-related studies on cryptocurrency, synthesising the research findings from 2,098 publications to answer three cryptocurrency puzzles.

Increasing industrial agriculture and economic crisis has generated creative responses in pursuit of responsible solutions to the human and environmental cost of globalization by applying these models to promote social responsibility, help sustain livelihoods and foster biodiversity. A key issue concerns how responsible and circular businesses might provide appropriate responses to large-scale “wicked” problems. This paper aims to ask what such creativity looks like in the context of a circular economy that attempts to build closed value loops, by examining a case from the organic cotton textile industry: Appachi Eco-Logic.

This study uses an ethnographic extended-case approach to identify two phases of creative growth at Appachi Eco-Logic, examining how closing the value loop and creating circularity involved broadening the circle to include more and more actors.

This study identifies two major challenges to achieving and maintaining full circularity before concluding with a broad provocation for the study of circular economies.

The case offers insight into fundamental features of circularity, regeneration and redistribution, which can be used by managers to build responsible and sustainable closed value loops.

In this chapter, the relationship between Taoist principles and the United Nations' initiative on harmony with nature is explored. This chapter discusses Taoism's teachings on the unity of man and nature, and how they have influenced the United Nations' programmes. Additionally, this chapter examines the Sustainable Development Goals's (SDG's) Pyramid, which draws connections between harmony and happiness, and how they align with Taoist ideals. The author emphasizes that Taoism and the SDGs share a common goal of promoting harmony and happiness. Taoism teaches that the natural world is a harmonious system that humans should strive to understand and respect. The United Nations' initiative on harmony with nature similarly emphasizes the importance of respecting the natural world and promoting sustainable practices. This chapter sheds light on the significant connections between Taoist principles and the United Nations' initiatives. It encourages readers to adopt a more holistic perspective on the relationship between humans and the natural world and to apply these principles in their daily lives.

The purpose of this study is to get a clearer knowledge of the reasons for, approaches to and challenges associated with integrating sustainable development concerns into pipeline construction projects in New Zealand. To achieve this, this study delves deeply into sustainable construction to understand the reasons behind and incorporate sustainable development trials into their newly established product management and development procedure. As a result, this study looks at identifying key elements of sustainable construction practices and various interpretations of sustainability in the construction industry; offering a strategy for incorporating sustainable construction practices into the pipeline construction project in New Zealand; and benefits and difficulties that the construction industry encounters when implementing sustainable construction. Finally, a framework is developed to help in understanding the issues and potential solutions for integrating sustainable building methods into the pipeline construction project in New Zealand.

This study followed a four-step method (Figure 1), beginning with the identification of the data, continuing with the first screening of the data, determining eligibility and, finally, including the data. This data collection is being done to provide knowledge and direction for further research. Data were collected from various websites on the Web of Science and from Scopus databases. Additionally, data were gathered with the assistance of aggregator databases such as Scopus (scopus.com) and publishing databases such as Elsevier (sciencedirect.com), Inderscience, Taylor and Francis (tandfonline.com), Emerald Insight (emeraldinsight.com) and Google Scholar. These databases have been considered by a number of scholars to be reputable databases.

This research provided a thorough description of the key justifications for sustainable construction. This study demonstrated how the idea worked in practice by reviewing the literature on the relevance and analysis of sustainability in construction. This body of research identified crucial components of sustainable construction techniques and varied interpretations of sustainability in the construction industry. To better grasp the current application considerations in the construction sector, it also offered literature on sustainable construction methods. To determine the most effective strategy to make certain adjustments to the current construction processes, the literature also includes a wide range of sustainability-related topics in both developed and developing country contexts. This study also demonstrated the many perspectives and strategies for sustainable behaviors. Because the purpose of this study was to develop a strategy for implementing sustainable construction in New Zealand, it was of the utmost importance to shed light on the most well-known and prominent sustainable construction applications from across the world. The output of this aim provided the literature on construction practices to acquire insight into the ongoing conversations on sustainable practices and systems in the construction industry. This was done to obtain insight into the existing talks.

This research's contribution to the body of knowledge is demonstrated by the fact that this study has led to a better understanding of sustainable construction practices in the construction industry as well as the identification of the most significant challenges that businesses, organizations, educators and policymakers must face to improve their ability to put these strategies into practice. This research has provided a solid foundation for future research that aims to advance knowledge in this field by providing options for future research to evaluate the influence that the approach has had on enhancing the implementation of sustainable construction. Additionally, this study presents options for future research to evaluate the influence the approach has had on improving the implementation of sustainable construction. The successful completion of the research aim in the more traditional forms of higher education in the built environment can contribute to a better representation of new trends in the practice area associated with expanding and improving the construction industry sustainably.

Companies are turning to big data (BD) programs to help mitigate supply chain (SC) disruptions and risks that are increasing in frequency and severity. The purpose of this paper is to explore exactly how companies translate data into meaningful information used to manage SC risk and create economic value; an area not well researched. As companies are turning to big-data programs to help mitigate supply chain (SC) disruptions and risks that are increasing in frequency and severity, having the capability to internally integrate SC information is cited as the most critical risk to manage.

Information processing theory and resource-based view are applied to support capability development used to make value-based BD decisions. Semi-structured interviews were conducted with leaders in both the oil and gas industry and logistics SC partners to explore each companies’ BD transformation.

Findings illuminate how companies can build internal capability to more effectively manage SC risk, optimize operating assets and drive employee engagement.

The oil and gas industry were early adopters of gathering BD; more studies addressing how companies translate data to create value and manage SC risk would be beneficial.

Guidance for senior leaders to proactively introduce BD to their company through a practical framework. Further, this study provides insight into where the maximum benefit may reside, as data intersects with other company resources to build an internal capability.

This study presents a framework highlighting best practices for introducing BD plus creating a culture capable of using that data to reduce risk during design, implementation and ongoing operations. The steps for producing the maximum benefit are laid out in this study.

This research developed a model to understand and predict housing market dynamics and evaluate the significance of house permits data in the model’s forecasting capability.

The research uses a multilevel algorithm consisting of a machine-learning regression model to predict the independent variables and another regressor to predict the dependent variable using the forecasted independent variables.

The research establishes a statistically significant relationship between housing permits and house prices. The novel approach discussed in this paper has significantly higher prediction capabilities than a traditional regression model in forecasting monthly average prices (R-squared value: 0.5993), house price index prices (R-squared value: 0.99) and house sales prices (R-squared value: 0.7839).

The impact of supply, demand and socioeconomic factors will differ in various regions. The forecasting capability and significance of the independent variables can vary, but the methodology can still be applicable when provided with the considered variables in the model.

The resulting model is helpful in the decision-making process for investments, house purchases and construction as the housing demand increases across various cities. The methodology can benefit multiple players, including the government, real estate investors, homebuyers and construction companies.

Existing algorithms and models do not consider the number of new house constructions, monthly sales and inventory in the real estate market, especially in the United States. This research aims to address these shortcomings using current socioeconomic indicators, permits, monthly real estate data and population information to predict house prices and inventory.

This study explores the interconnectedness and complexity of risk-varied climate initiatives such as green bonds (GBs), emissions trading systems (ETS) and socially responsible investments (SRI). The analysis covers the period from September 2011 to August 2022, using six indices: three representing climate initiatives and three indicating uncertainty.

To achieve this, the study first examines dynamic lead-lag relations and correlation patterns in the time-frequency domain to analyse the returns of the series. Additionally, it applies an innovative approach to investigate the predictability of uncertainty measurements of climate initiatives across various market conditions and frequency spillovers in the short, medium and long run.

The findings indicate changing relationships between the series, increased linkages during turbulent market periods and strong co-movements within the network. The ETS is recommended for diversification and hedging against uncertainty indices, whereas the GB may be suitable for long-term diversification.

This study highlights the role of climate initiatives as potential hedges and contagion amplifiers during crises, with implications for policy recommendations and the asymmetric effects on market connectedness.

The paper answers questions that previous studies have not and contributes to the literature regarding financial risk management and social responsibility.

Today, many countries strive to develop their small and medium scale enterprises (SMEs) sectors because of their acknowledged capacity to facilitate the optimal utilization of locally available resources while engaging local technology for the production of goods and services for local consumption as well as export trade. Also in area of agriculture, these enterprises serve as means of sustainable food production, improve employment generation, combat food shortage, and enhance economic growth and development. However, the growth performance of this sector in Nigeria has been dwindling over time, which requires government expenditure (GE) policy intervention. Therefore, this study examines the influence of public expenditure on the growth of SMEs in Nigeria employing unit root and co-integration tests for the period 1981–2019. The results reveal that SMEs and selected macroeconomic variables have a long-run relationship with SMEs output performance. It also shows that GE has direct and significant impact on the growth of SMEs in Nigeria, while government deficit financing (GDF) has adverse and insignificant effects on the Nigeria SMEs both in the short- and long-run period. Inflation rate (INF) has an inverse but significant effect on the growth of SMEs in Nigeria both in the short- and long-run periods. This study thus recommends, among others, that government should ensure the proper management of capital expenditure and recurrent expenditure in raising the growth of SMEs in Nigeria to achieve inclusive growth.