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Due to the critical importance of digital transformation in enhancing industrial growth and competitiveness, especially in heavy construction, this study introduces a tailored capability assessment model and self-appraisal tool for firms in this sector. These resources enable them to gauge their readiness for adopting digital technology effectively.

Utilizing the Technology—Organization—Environment (TOE) and Natural Resource Dependence Theory (NRDT) frameworks, 22 markers were identified to structure a questionnaire distributed to construction professionals. Descriptive analysis and fuzzy synthetic evaluation (FSE) were used to develop the capability assessment model. A validation survey assessed the validity of both the model and the self-appraisal instrument.

The study identified the top five significant markers: (1) leadership commitment to digital transformation, (2) workforce readiness for technology integration, (3) potential ROI through efficiency gains, (4) technology maturity for construction applications and (5) complexity of integrating new technologies with existing workflows. Through FSE, the most critical factors were technology-related, organizational and resource optimization markers.

By employing the TOE and NRDT frameworks, the study identifies the most critical factors influencing digital adoption in heavy construction. Also, the user-friendly self-appraisal instrument developed in this study can be considered a valuable contribution, as it provides heavy construction firms with a practical tool for ongoing monitoring and improvement of their digital transformation efforts.

The paper employs ethnographic interviews, a quantitative and qualitative data analysis of publicly accessible data and literature review.

With drought conditions expected to worsen in at-risk areas thus amplifying wildfire likelihood, this case explores the organizational and natural dynamics involved with wildfire management. The case engages students to explore the interactions between wildfire, wildland firefighters and agency organizations drawing from the natural resource dependence theory within a sustainability context. When completing the discussion questions, students are challenged to explore how organizations can use discursive closures to eliminate conflict and control meaning surrounding potentially controversial and politicized topics such as wildfire management.

This interdisciplinary case would be appropriate for undergraduate and graduate students in business and STEM classes. Optimal classes include organizational behavior, organizational communication and sustainability. Other appropriate classes include strategic management, applied business decisions, public relations, public policy, crisis management and for corporate training purposes.

The purpose of this study is to investigate the influence of climate on marine and urban tourism using climate indices in four of Australia’s busiest cities: Sydney, Melbourne, Brisbane and Perth. Climate is operationalized using the previously validated Holiday Climate Index (HCI)-beach for marine tourism HCI-urban for city tourism; international airport arrivals are the tourism behavior of interest.

HCI-beach and-urban indices were calculated using climate data: thermal comfort, cloud cover, windspeed and precipitation. Autoregressive integrated moving average (ARIMA) models were calculated for airport arrivals only and airport arrivals with exogenous factors (i.e. HCI-beach and-urban).

Indices proved significant for each city where HCI-urban scores were more favorable on the aggregate than HCI-beach scores. HCI-beach improved model accuracy in Melbourne (3.11%), Sydney (15.77%) and Perth (37.38%); HCI-urban improved accuracy at Brisbane by 37.73%.

The primary limitation is that airport arrival data was only available monthly. Using aggregated arrivals also precludes explicitly determining recreational intentions among travelers.

Results demonstrate climate indices can improve forecast accuracy for actual tourism behaviors, including destination arrivals.

For tourists, results demonstrate the meteorological season and city where climate conditions are more or less favorable.

To the best of the author’s knowledge, this is the first known study to investigate the influence of climate indices on improving predictability of international arrival forecasts.

The purpose of this paper is to explore the implications of natural resource scarcity (NRS) for companies’ supply chain strategies.

Drawing on the resource dependence theory (RDT), a conceptual model is developed and validated through the means of exploratory research. The empirical work includes the assessment of qualitative data collected via 22 interviews representing six large multinational companies from the manufacturing sector.

When the resources are scarce and vitally important, companies use buffering strategies. Buffering and bridging strategies are preferred when there are a few alternative suppliers for the specific resource and when there is limited access to scarce natural resources.

The research focuses on large multinational manufacturing companies so results may not be generalised to other sectors and to small- and medium-sized firms. Future research needs to examine the implications of NRS for organisational performance.

This research provides direction to manufacturing companies for adopting the best supply chain strategy to cope with NRS.

This paper adds to the body of knowledge by providing new data and empirical insights into the issue of NRS in supply chains. The RDT has not been previously employed in this context. Past studies are mainly conceptual and, thus, the value of this paper comes from using a qualitative approach on gaining in-depth insights into supply chain-related NRS strategies and its antecedents.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

Managing the risks associated to world food production is an important challenge for governments. A range of factors, among them extreme weather events, has threatened food production in recent years. The purpose of this paper is to analyse the impact of extreme rainfall events on the food industry in Brazil, a prominent player in this industry.

The authors use the AR-GARCH-GPD hybrid methodology to identify whether extreme rainfall affects the stock price of food companies. To do so, the authors collected the daily closing price of the 16 food industry companies listed on the Brazilian stock exchange (B3), in January 2015.

The results indicate that these events have a significant impact on stock returns: on more than half of the days immediately following the heavy rain that fell between 28 February 2005 and 30 December 2014, returns were significantly low, leading to average daily losses of 1.97 per cent. These results point to the relevance of the need for instruments to hedge against weather risk, particularly in the food industry.

Given that extreme weather events have been occurring more and more frequently, financial literature has documented attempts at assessing the economic impacts of weather changes. There is little research, however, into assessing the impacts of these events at corporate level.

O gerenciamento de riscos associados à produção mundial de alimentos é um desafio importante para governantes. Diversos fatores, entre eles os eventos climáticos extremos, têm ameaçado a produção de alimentos nos últimos anos. Neste artigo nós analisamos o impacto de eventos de chuvas extremas na indústria de alimentos no Brasil, um dos maiores produtores mundiais.

Empregamos a metodologia híbrida AR-GARCH-GPD para verificar se chuvas extremas afetam o preço das ações das empresas de alimentos. Para isso, coletamos os preços de fechamento diário de 16 empresas do setor de alimentos listadas na Bolsa de Valores do Brasil [B]³, em janeiro de 2015.

Os resultados sugerem que esses eventos exercem impacto significante sobre o retorno das ações: em mais da metade dos dias imediatamente posteriores à chuva extrema ocorrida entre 28/02/2005 e 30/12/2014, os retornos foram significantemente baixos, levando a perdas médias diárias próximas de 1,97%. Esses resultados apontam para a relevância da necessidade de instrumentos para proteção contra riscos climáticos, particularmente na indústria de alimentos.

Tendo em vista que eventos climáticos extremos têm ocorrido com uma frequência cada vez maior, a literatura de finanças tem documentado tentativas de avaliar os impactos econômicos das mudanças climáticas. No entanto, nota-se a carência de pesquisas para avaliar os impactos desses eventos no nível das empresas.

Extreme weather events are on the rise around the globe. Nevertheless, it is unclear how these extreme weather events have impacted the supply chain sustainability (SCS) framework. To this end, this paper aims to identify and analyze the aspects and criteria to enable manufacturing firms to navigate shifts toward SCS under extreme weather events.

The Best-Worst Method is deployed and extended with the entropy concept to obtain the degree of significance of the identified framework of aspects and criteria for SCS in the context of extreme weather events through the lens of managers in the manufacturing firms of a developing country-Nigeria.

The results show that extreme weather preparedness and economic aspects take center stage and are most critical for overcoming the risk of unsustainable patterns within manufacturing supply chains under extreme weather events in developing country.

This study advances the body of knowledge by identifying how extreme weather events have become a significant moderator of the SCS framework in manufacturing firms. This research will assist decision-makers in the manufacturing sector to position viable niche regimes to achieve SCS in the context of extreme weather events for expected performance gains.

This paper illuminates the distinction between individual and organizational actors in business-to-business markets as well as the coexistence of formal and informal mechanisms of coordination in multinational corporations. The main questions addressed include the following. (1) What factors influence the occurrence of personal contacts of foreign subsidiary managers in industrial multinational corporations? (2) How such personal contacts enable coordination in industrial markets and within multinational firms? The theoretical context of the paper is based on: (1) the interaction approach to industrial markets, (2) the network approach to industrial markets, and (3) the process approach to multinational management. The unit of analysis is the foreign subsidiary manager as the focal actor of a contact network. The paper is empirically focused on Portuguese sales subsidiaries of Finnish multinational corporations, which are managed by either a parent country national (Finnish), a host country national (Portuguese) or a third country national. The paper suggests eight scenarios of individual dependence and uncertainty, which are determined by individual, organizational, and/or market factors. Such scenarios are, in turn, thought to require personal contacts with specific functions. The paper suggests eight interpersonal roles of foreign subsidiary managers, by which the functions of their personal contacts enable inter-firm coordination in industrial markets. In addition, the paper suggests eight propositions on how the functions of their personal contacts enable centralization, formalization, socialization and horizontal communication in multinational corporations.

The purpose of this study is to empirically examine the impact of natural resource rents on income inequality in Ethiopia from 1981 to 2022 and investigate whether investments in manufacturing moderate this relationship.

Dynamic autoregressive distributed lag simulation and Kernel-based regularized least squares (KRLS) models are used to analyses short- and long-run relationships, as well as the potential moderating role of manufacturing.

The bounds test indicates natural resource rents have a long-run positive effect on inequality but a short-run negative impact. The KRLS model finds manufacturing conditions for this linkage in the short run. In the long run, economic growth decreases inequality following an inverted Kuznets pattern, while government expenditures reduce disparities when directed at priority social services.

The findings provide mixed support for theories while highlighting nuances not fully captured without local analyses. Strategic sectoral investments may help optimize outcomes from resource dependence.

The results imply Ethiopia should prudently govern resources, productively invest revenues and prioritize social spending to equitably manage industrialization and uphold stability.

Reducing disparities through inclusive development aligned with empirical evidence could help Ethiopia sustain peace amid transformation and realize its goals of shared prosperity.

This study applies innovative econometrics to provide novel insights into Ethiopia's experience, resolving inconsistencies in the literature on relationships between key determinants and inequality.

Nobody concerned with political economy can neglect the history of economic doctrines. Structural changes in the economy and society influence economic thinking and, conversely, innovative thought structures and attitudes have almost always forced economic institutions and modes of behaviour to adjust. We learn from the history of economic doctrines how a particular theory emerged and whether, and in which environment, it could take root. We can see how a school evolves out of a common methodological perception and similar techniques of analysis, and how it has to establish itself. The interaction between unresolved problems on the one hand, and the search for better solutions or explanations on the other, leads to a change in paradigma and to the formation of new lines of reasoning. As long as the real world is subject to progress and change scientific search for explanation must out of necessity continue.