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The purpose of the study is to examine how risk factors contribute to the occurrence of defects in a process. By analyzing these risk factors in relation to process quality, the study aims to help organizations prioritize their resources and efforts toward addressing the most significant risks. These challenges, integrated with the emerging concept of Quality 4.0, necessitate a comprehensive risk assessment technique.

Fuzzy logic integrated with an analytic network process is used in the process failure mode and effects analysis for conducting risk identification and assessment under uncertainty. Through a mathematical model, the linkage of risk with Six Sigma is established and, finally, a value–risk matrix is developed for illustrating and analysing risk impact on process quality.

A case study on fused filament fabrication demonstrates the proposed methodology’s applicability. The results show its effectiveness in assessing risk factors’ impact on Six Sigma metrics: defects per million opportunities/sigma level.

By integrating qualitative assessments and leveraging available data, this approach enables a more comprehensive understanding of risks and their utilization for an organization’s quality improvement initiatives.

This approach establishes a risk-centric Six Sigma assessment method in accordance with the requirement of ISO 9001:2015 and in the context of Quality 4.0.

Digital technologies promise efficiency gains and untapped opportunity. Adoptions of digital technology lead firms to rethink their organizational setup and existing practices. This paper aims to present a management innovation-based framework that describes new processes and practices for digital transformation.

This study uses a structural equation modeling approach to test the framework with survey responses from a sample of 901 Taiwanese organizations – both local firms and multinational subsidiaries – to explore the linkages between adoption of digital technologies and digital maturity.

The results reveal that management innovation mediates the relationship between digital technology adoption and digital maturity. Moreover, fast-paced environments have a greater impact of management innovation toward digital maturity than slow-paced environments.

This study adds to emerging research that considers the role of organizational learning in digital transformation efforts. The extent to which organizations link the lessons from direct experience to digital routines through which management innovation is implemented determines to a large extent whether this strategic initiative is optimized by the firm. More generally, the findings point to the mutual importance of digital maturity and experiential learning efforts, and suggest a specific means by which learning processes are mobilized by innovating organizations. This study contributes to digital transformation research by providing insight into how a firm can restart failed transformation initiatives of this kind.

This paper aims to deepen the understanding of robust food supply chains (FSC) in SMEs by exploring and analyzing the literature through the lenses of digital technologies.

The study collected data from Scopus spanning from 2010 to 2024, employing selected keywords, and processed it using VOS-viewer and Biblioshiny to derive valid inferences and theoretical arguments.

The review paper identified several key themes shaping the future of supply chain management – Sustainability in SCM, Industry 4.0, Digitalization with FSCM, Circular Economy, Food Waste with Supply Chain, Food Security and Climate Change. These themes collectively bring transformative opportunities for both the adoption of digital technologies and sustainable practices in food supply chains.

The review found limitations are rooted in financial constraints, institutional barriers and expertise-related challenges encountered within the realm of Digitalization and FSC. Government and corporate houses should focus on these limitations as well as convert them to strengthen the SMEs of FSC.

The study stands out as a pioneering review that not only explores Digitalization in FSC but also explores the link and evidence of SMEs in the unorganized sector, providing unique insights into a previously underexplored area.

The paper investigates the relationship between accounting and promises in the context of digital change.

Relying on emergent literature on accounting and promises, a qualitative field study has been conducted covering 57 interviews with municipal directors, digitalization strategists, administration managers and CFOs in a Swedish region consisting of 13 municipalities.

The paper provides insights into how municipalities draw on accounting in attempts to reconstruct promissory narratives of the digital. By highlighting two contrasting cases, we show how this can involve practices of either restoration or transformation. Likewise, we find that attempts to restore promises can sometimes have unanticipated effects, in our case a transformation of the promise instead.

We introduce a “promise” lens to the literature on accounting and digital change and empirically describe how accounting is implicated in shaping promises in the context of public sector digital change.

This research examines the long-held belief in the adaption-related literature that a firm’s ability to adapt organizational structure to changing environments is related to superior performance. We create and test a construct that reflects an organization’s ability to change structure, which we call Supply Chain Structural Adaptability (SCSA), rather than relying on proxies (e.g. structural form or organizational modularity) used in prior studies.

Quantitative data was collected from 218 firms to test our conceptual model.

We find that SCSA has a mixed effect on profitable growth under various environmental conditions.

We find evidence that refutes two widely held assumptions in organization research, namely, that structural form serves as a reasonable proxy for structural adaptability and that the benefits of adaptive capabilities always increase as environmental dynamism increases.

This study aims to provide insights into human–algorithm interaction in revenue management (RM) decision-making and to uncover the underlying heuristics and biases of overriding systems’ recommendations.

Following constructivist traditions, 20 in-depth interviews were conducted with revenue optimisers, analysts, managers and directors with vast experience in over 25 markets and working with different RM systems (RMSs) at the property and corporate levels. The hermeneutics approach was used to interpret and make meaning of the participants’ lived experiences and interactions with RMSs.

The findings explain the nature of the interaction between RM professionals and RMSs, the cognitive mechanism by which the system users judgementally adjust or override its recommendations and the heuristics and biases behind override decisions. Additionally, the findings reveal the individual decision-maker characteristics and organisational factors influencing human–algorithm interactions.

Although the study focused on human–system interaction in hotel RM, it has larger implications for integrating human judgement into computerised systems for optimal decision-making.

The study findings expose human biases in working with RMSs and highlight the influencing factors that can be addressed to achieve effective human–algorithm interactions.

The study offers a holistic framework underpinned by the organisational role and expectation confirmation theories to explain the cognitive mechanisms of human–system interaction in managerial decision-making.

This study examines the impact of outcome uncertainty on the National Football League (NFL) secondary ticket market prices. As a demand-driven market, it is essential to comprehend how resellers respond to outcome uncertainty, one of the consumer demand factors in sports.

Using real-time ticket prices and money lines as a proxy of the probabilities of winning, this study employs a regression analysis and examines 33,554 price observations from the NFL’s secondary ticket market partner, StubHub.

The result shows a positive relationship between outcome uncertainty and secondary market ticket prices, indicating that resellers adjust the prices in response to the level of outcome uncertainty and put more value on games with greater uncertainty. This finding confirms the demand-driven nature of the secondary ticket market, as outcome uncertainty is one of the demand factors in sports.

This study links the uncertainty of outcome hypothesis with secondary ticket market pricing and fills a gap in the literature by providing an important perspective on games with uncertainty in the secondary ticket market. Outcome uncertainty has limited understanding in relation to secondary ticket market pricing despite its relationship with consumer demand. The positive relationship between outcome uncertainty and the ticket prices, grounded in real-time price data and win probability from sport betting markets, enhances our understanding of price determinations in the secondary ticket market.

This study investigates the effect of education on crop insurance knowledge within the context of noncompliance experiences. In addition, the study delves into the role of government endorsement in education, which is instructive for the implementation of future insurance promotions.

The study designs a randomized controlled trial (RCT) conducted in Jiangsu Province, China. A total of 518 sample farmers were randomly assigned to two experiments: The Education Experiment and the government’s Endorsement Experiment, respectively. After conducting a set of rigorous exogeneity tests, econometric analysis was conducted using baseline survey data and post experiment data.

Our results revealed that insurance education served as an effective tool in improving farmers’ insurance knowledge, especially their understanding of insurance mechanisms. However, this effect can be mitigated by the noncompliant insurance experience of farmers. Moreover, government-endorsed education proved to be more efficient in improving farmers’ insurance knowledge, thus highlighting the significance of building trust between insureds and insurers.

This study contributes to the literature by demonstrating that using a simple education tool, such as, brochures, can effectively improve farmers insurance knowledge. In addition, insurance mechanisms are now more urgently in need of universalization than policy information. Furthermore, by conducting the RCT, this study obtains unbiased causal inference on the effect of education on insurance knowledge and underscores the role of government endorsement in this process. In addition, the study illustrates the tradeoff between insurers’ efforts in enhancing education and regulating noncompliant insurance misconducts, which compromises education efforts. Overall, this study provides insights into the marketing strategies of insurers and government propaganda aimed at stimulating farmers’ incentives to purchase insurance.

This study primarily examines the link between carbon and financial performance in the Asia-Pacific region. In addition, the study also explores how the economic impact of carbon performance varies in carbon-intensive and non-carbon-intensive industries.

This study takes a sample of 1,539 non-financial firms from 13 Asia-Pacific countries from 2014 to 2021. It employs a firm-fixed effect panel regression model to examine the objective.

The findings indicate that carbon performance improvement enhances accounting-based and market-based financial performance. The positive impact of carbon abatement stems from increased operational efficiency, energy efficiency and lower production costs. Further, the stock market participants also reward the firm for carbon efficiency. However, the carbon intensity of industrial sectors presents a conflicting picture for this association.

This study adds insights to the literature by providing a contemporary reflection on the nexus between carbon emissions and economic outcomes in the understudied Asia-Pacific region. It also unveils the nuanced difference in the carbon-financial performance relationship attributed to industries' carbon sensitivity.

The objective of this paper is to examine crop yield predictions and their implications on MPCI in Ghana. Farmers in developing countries struggle with their ability to deal with agricultural risks. Providing aid for farmers and their households remains instrumental in combatting poverty in Africa. Several studies have shown that correctly understanding and implementing risk management strategies will help in the poverty alleviation agenda.

This study examines the importance of crop yield distributions in Ghana and its implication on multiperil crop insurance (MPCI) rating using the Lasso regression model. A Bonferroni test was employed to test the independence of crop yields across the regions while the Kruskal-Wallis H test was conducted to examine statistical differences in mean yields of crops across the ten regions. The Bayesian information criteria and k-fold cross-validation methods are used to select an appropriate Lasso regression model for the prediction of crop yields. The study focuses on the variability of the threshold yields across regions based on the chosen model.

It is revealed that threshold yields differ significantly across the regions in the country. This implies that the payment of claims will not be evenly distributed across the regions, and hence regional disparities need to be considered when pricing MPCI products. In other words, policymakers may choose to assign respective weights across regions based on their threshold yields.

The primary limitation is the unavailability of regional climate data which could have helped in a better explanation of the variation across the regions.

This is the first study to examine the implications of regional crop yield variations on multiperil crop insurance rating in Ghana.