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The objective of this research is to investigate the capabilities of the ChatGPT GPT-4 model, a form of artificial intelligence (AI), in comparison to human experts in the context of construction project risk management.

Employing a mixed-methods approach, the study draws a qualitative and quantitative comparison between 16 human risk management experts from Finnish construction companies and the ChatGPT AI model utilizing anonymous peer reviews. It focuses primarily on the areas of risk identification, analysis, and control.

ChatGPT has demonstrated a superior ability to generate comprehensive risk management plans, with its quantitative scores significantly surpassing the human average. Nonetheless, the AI model's strategies are found to lack practicality and specificity, areas where human expertise excels.

This study marks a significant advancement in construction project risk management research by conducting a pioneering blind-review study that assesses the capabilities of the advanced AI model, GPT-4, against those of human experts. Emphasizing the evolution from earlier GPT models, this research not only underscores the innovative application of ChatGPT-4 but also the critical role of anonymized peer evaluations in enhancing the objectivity of findings. It illuminates the synergistic potential of AI and human expertise, advocating for a collaborative model where AI serves as an augmentative tool, thereby optimizing human performance in identifying and managing risks.

Disruptive events caused by cyber incidents, such as supply chain (SC) cyber incidents, can affect firms’ SC operations on a large scale, causing disruptions in material, information and financial flows and impacting the availability, integrity and confidentiality of SC assets. While SC resilience (SCRES) research has received much attention in recent years, the purpose of this study is to investigate specific capabilities for building SCRES to cyber risks. Based on a nuanced understanding of SC cyber risk characteristics, this study explores how to build SC cyber resilience (SCCR) using the perspective of dynamic capability (DC) theory.

Based on 79 in-depth interviews, this qualitative study examines 28 firms representing 4 SCs in Central Europe. The researchers interpret data from semistructured interviews and secondary data using the DC perspective, which covers sensing, seizing and transforming.

The authors identify SCRES capabilities, in general, and SCCR-specific capabilities that form the basis for the realignment of DCs for addressing cyber risks in SCs. The authors argue that SCRES capabilities should, in general, be combined with specific capabilities for SCCR to deal with SC cyber risks. Based on these findings, 10 propositions for future research are provided.

Practitioners should collaborate specifically to address cyber threats and risks in SCs, integrate new SC partners and use new approaches. Furthermore, this study shows that cyber risks need to be treated differently from traditional SC risks.

This empirical study enriches the SC management literature by examining SCRES to cyber risks through the insightful lens of DCs. It identifies DCs for building SCCR, makes several managerial contributions and is among the few that apply the DC approach to address specific SC risks.

This study aims to investigate the interplay between a proactive attitude towards disruptions – supply chain disruption orientation – and supply chain resilience, increasing our understanding of their influence on reducing the impact of supply chain disruptions within the B2B context.

As unexpected disruptions are closely related to a dynamic and changing perception of the environment, this research is framed under the dynamic capabilities lens, consistent with existing resilience literature. The authors used partial least squares-path modeling (PLS-PM) to empirically test the proposed research model using survey data from 216 firms.

Results show that a proactive approach to disruptions alone is insufficient in mitigating their negative impact. Instead, a firm’s disruption orientation plays a crucial role in boosting its resilience, which acts as a mediator, reducing the impact of disruptions.

This paper sheds light on the mechanisms by which firms can mitigate the effects of supply chain disruptions and offers insights into how certain capabilities are needed so that firms’ attitudes can effectively impact firm performance. This research thus suggests that dynamic capabilities, traditionally perceived as being enabled by other elements, act themselves as enablers. Consequently, they have the potential to translate strategic orientation or attitudes into tangible effects on performance, enriching our understanding of how firms combine their internal attitudes and capabilities to achieve sustained competitive advantage.

Critical infrastructure (CI) sectors and their resilience are vital for societies to function. In many countries, vital societal functions (VSFs) and CIs depend on inter-organizational and international supply chains (SCs) which combine public and private actors with often competing interests and unclear responsibilities that create discontents. While collaborative supply chain risk management (SCRM) can increase the robustness and resilience of VSF&CIs, their inherent characteristics complicate SCRM. To understand this, supply chain risk governance (SCRG) has conceptually been introduced, suggesting collaborative mechanisms that facilitate inter-organizational SCRM. The purpose of this study is to elaborate on and substantiate the theoretical and practical relevance of an existing SCRG framework, by empirically exploring governance of collaborative SCRM and suggesting future research.

An abductive case study was performed in a VSF&CI, the Swedish food system, to contextualize top-level governance of collaborative SCRM and elaborate on the conceptual SCRG framework. Archival data supplemented expert interviews with public and private actors representing direct and indirect SC actors.

Current discourse and interventions in the Swedish food system’s SCRM confirmed discontent in governance and the importance of SCRG mechanisms and supported further conceptualization, e.g. of legal mechanisms vs economic incentives, the importance of government inquiries and the understanding of the influence of indirect public SC actors.

Considering the geographical scope of the study, transferability is limited but invites comparisons with both other countries and the SCRG of other VSF&CIs. Proposed research avenues guide future conceptualization and contextualization of SCRG.

The framework can support CI actors to jointly find and reduce discontents related to inter-organizational SCRM and support policymakers to increase public–private collaboration.

The novelty lies in empirically studying SCRG in critical infrastructures by combining SCRM and risk governance lenses.

The purpose of this paper is to assess the adoption of climate-smart agriculture (CSA) and its implication on improving the farming household food security status, their resilience and livelihood risk management of farmers.

This systematic review has followed procedures to accomplish the review, including literature searches, screening studies, data extraction, synthesis and presentation of the data.

Based on the result of the review, the determinants of CSA adoption can be categorized into five categories, including demographic factors (age, sex, family size, dependency ratio, education), economic factors (land size, household income, livestock ownership), institutional factors (extension services, training access, credit services, farm input, market distance), environmental factors (agroecology, change in precipitation, slope of land) and social factors (cooperatives membership, farmers perception). The result also shows that applying CSA practices has an indispensable role on increasing productivity, food security, income, building resilient livelihoods, minimizing production risk and alleviating poverty. This concluded CSA practice has a multidimensional role in the livelihood of agrarian population like Ethiopia, yet its adoption was constrained by several factors.

This review mainly emphasizes on the most commonly practiced CSA strategies that are examined by different scholars.

This article aims to understand where industry is in terms of digitalizing their operations, what features of this transformation are essential for practitioners, and what barriers they are facing during their journey. In addition, the authors aim to provide recommendations for organization to start their digital transformation.

Through literature review, the authors summarize the emerging tools and technologies in operations and supply chains to inform the practitioners. Then, the authors use surveys conducted on 183 operations and supply chain professionals, and use statistical tools to examine the association between variables of the data set. The authors present real-life case studies to explain important steps of a digital transformation project.

The survey results indicate that real-time monitoring and data analytics are viewed as the most important and needed tools for organizations. High cost, lack of stakeholder buy-in and lack of successful business use cases are major barriers for companies when starting a digital transformation.

The authors provide recommendations for practitioners based on the survey responses, and outline that starting small, focusing on stakeholder buy-in and implementation of software are the three key steps for a successful transformation journey.

Main contributions of this article are to understand practitioner perspectives in digitalization and provide guidelines for organizations to follow when transforming their operations. This research closes the gap between academic research and practice by collaborating with operations and supply chain professionals.

The study examines the role of regulation in the fintech-based financial inclusion (FBFI)–risk-taking nexus in the Sub-Saharan African (SSA) region.

Using a sample of 10 countries in SSA over the period 2014 to 2021, the study employed the fixed-effect regression model and the two-step generalized method of moments (GMM) estimator.

The results show that FBFI mitigates commercial banks risk-taking in SSA. But as FBFI progresses, the association takes the shape of an inverted U, increasing risks initially and decreasing them later on. Effective supervision and regulatory quality, in particular, are essential in moderating this relationship by offsetting the adverse consequences of FBFI in its early stages.

First, while our sample is limited to banks in ten SSA countries, future studies could extend the sample size, enabling more explicit generalization of the results. Second, the FBFI–bank risk nexus can be explored further by comparing diverse forms of fintech participation, such as fintech company investment, fintech technology investment, cooperation with specific fintech service providers and cooperation with Internet giants.

Policymakers, banks and fintech companies should collaborate to certify the sustainable utilization of fintech tools to ensure financial inclusion. Policymakers should craft policies that encourage effective supervision and regulatory quality of fintechs since they reduce banks' risk-taking practices, which usually have positive effect on the economy.

The study adds value to the debate on the role of regulation on the FBFI–risk-taking nexus, taking into account countries that are at different levels of development.

Extant research supports the importance of dynamic managerial capabilities in capturing managers’ individual roles in organisations’ adjustments to change. This paper develops a multidimensional scale for measuring dynamic managerial capabilities consisting of sensing, seizing and reconfiguration capacities that mediate between managers’ affective states and their firms’ performance.

The scale is validated in a survey-based study among 204 managers in companies in the United States of America (USA). We applied a multiple regression model (a triple mediation) using each of DMCs’ three dimensions to test the effects of managers’ affective states on their firms’ performance.

The multidimensional construct of DMCs adds about 15 % of variance explained to a firm’s performance, as perceived by its managers. So managers’ affective states do have an impact on DMCs and, later, on their firms’ performance.

We show the impact of negative and positive affect on DMCs. We also show that DMCs’ three dimensions should be treated in a formative manner that advances discussion on DMCs and their role in a firm’s performance.

Understanding managers’ affective states helps incorporate “hot cognition” into firms’ strategising processes. Although both positive and negative emotions can be helpful, depending on the situation, positive affect is generally more valuable than negative affect as it relates to a firm’s performance.

Our work proposes measuring DMCs based on Teece’s (2007) disaggregation of DMCs into sensing, seizing and reconfiguration capacities. We approach each of these dimensions separately and show that managers’ affective states influence each dimension differently.

This study aims to examine decision factors for global sourcing, differentiated into transcontinental and continental sourcing to obtain insight into locational aspects of sourcing decisions and global trends. This study analyzed various country perceptions to reveal their influence on sourcing decisions. The country of origin (COO) theory explains why certain country perceptions and images influence purchasing experts in their selection of suppliers.

This study used a two-study approach. In Study 1, the authors conducted discrete choice card experiments with 71 purchasing experts located in Europe and the USA to examine the importance of essential decision factors for global sourcing. Given the clear evidence that location is a factor in sourcing decisions, in Study 2 the authors investigated purchasers’ perceptions and images of countries, adding country ranking experiments on various perceived characteristics such as quality, price and technology.

Study 1 provides evidence that the purchasers’ personal relationship with the supplier plays a decisive role in the supplier selection process. While product quality and location impact sourcing decisions, the attraction of the buying company and cultural barriers are less significant. Interestingly, however, these factors seem as important as price to respondents. This implies that a strong relationship with suppliers and good quality products are essential aspects of a reliable and robust supply chain in the post-COVID-19 era. Examining the locational aspect in detail, Study 2 linked the choice card experiments with country ranking experiments. In this study, the authors found that purchasing experts consider that transcontinental countries such as Japan and China offer significant advantages in terms of price and technology. China has enhanced its quality, which is recognizable in the country ranking experiments. Therefore, decisions on global sourcing are not just based on such high-impact factors as price and availability; country perceptions are also influential. Additionally, the significance of the locational aspect could be linked to certain country images of transcontinental suppliers, as the COO theory describes.

The new approach divides global sourcing into transcontinental and European sourcing to evaluate special decision factors and link these factors to the locational aspect of sourcing decisions. To deepen the clear evidence for the locational aspect and investigate the possible influence of country perceptions, the authors applied the COO theory. This approach enabled authors to show the strong influence of country perception on purchasing departments, which is represented by the locational effect. Hence, the success of transcontinental countries relies not only on factors such as their availability but also on the purchasers’ positive perceptions of these countries in terms of technology and price.

Past research has advanced a plethora of theoretical arguments on the effect of family ownership on firms’ international expansion and produced mixed empirical results. It is argued that the oversimplified way in which researchers have examined theoretically and tested empirically business families’ socioemotional priorities may explain the state of fragmentation in the literature. This study aims to investigate the differential effects of restricted (short-term and family-centric) versus extended (long-term and business-centric) socioemotional priorities on the extent of family firms’ internationalization to capture more nuanced aspects of the socioemotional wealth concept.

The authors test the hypotheses through OLS regressions on a sample of 287 family firms.

The authors find that restricted family-centric socioemotional priorities and extended socioemotional priorities related to the establishment of long-term relationships with business partners are negatively associated with the extent of family firms’ internalization. They also find that extended socioemotional priorities related to long-term orientation and transgenerational control intentions are positively associated with international expansion and that this effect is stronger for younger family firms.

This study disentangles the differential effects of two kinds of socioemotional priorities on family firms’ internationalization, thus developing more fine-grained theoretical arguments about the socioemotional drivers of family firms’ behavior. In addition, the authors directly measure socioemotional priorities instead of relying on indirect governance measures.