Humans vs. large language models: Judgmental forecasting in an era of advanced AI
In: International journal of forecasting
ISSN: 0169-2070
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In: International journal of forecasting
ISSN: 0169-2070
In: Journal of enterprise information management: an international journal, Band 34, Heft 3, S. 948-989
ISSN: 1758-7409
PurposeUsing the assumptions of the resource-based view, relational view and swift, even flow theories and the overarching principles of supply chain management, the study aims to test the role of information technology (IT) capability (cross-functional application, supply chain application and data consistency) in enabling supply chain integration (SCI; internal, customer and supplier integration) and the impact of SCI on firm's operational performance in terms of quality, delivery, production cost, inventory level, customer service and product-mix flexibility.Design/methodology/approachThe structural equation modeling approach is used to test theoretical predictions underlying the relationship among dimensions of IT capability, SCI and operational performance based on data obtained from senior executives of 108 large manufacturing firms listed in the Tokyo Stock Exchange.FindingsThe results suggest that IT capability has positive impact on SCI, except for data consistency, which is found to have negative impact on internal integration. The results further indicate that SCI, especially customer integration, has positive and significant impact on all operational performance indicators.Practical implicationsThe findings inform future initiatives associated with the SCI improvement via specific IT capabilities. When undertaking such initiatives, managers are advised to consider the differential impact of the following IT capabilities on SCI: cross-functional applications, supply chain applications, and data consistency capability.Originality/valueThe study makes an empirical contribution to the body of knowledge by demonstrating the value of the multidimensional representation and analysis of IT capability, SCI, and operational performance given a differential and even opposed influence by some of the dimensions in specific business contexts.
In: International journal of operations & production management, Band 34, Heft 10, S. 1246-1268
ISSN: 1758-6593
Purpose
– SCOR 10.0, released in late 2010, is the second version of the supply chain operations reference model (SCOR) to incorporate risk management processes, metrics and best practices. Given the paucity of studies that have explored the coverage and integration of supply chain risk management (SCRM) within SCOR, the analysis and suggested improvements for SCRM are designed to enhance SCOR's collaborative and coordinated management of supply chain (SC) risks. The paper aims to dicsuss these issues.
Design/methodology/approach
– Critical analysis was used to analyse the coverage and integration of SCRM within SCOR 10.0.
Findings
– Discrepancies were identified in how SCRM has been incorporated into SCOR, including issues with the hierarchical representation of SCRM processes, metrics, best practices and skills. These may potentially propagate into difficulties in embedding risk management processes within other SC processes, visualizing risk metrics in a SC's value hierarchy and reconciling SCOR's SCRM with organizational enterprise risk management.
Research limitations/implications
– This paper is limited to theoretical analysis of the coverage and integration of risk in SCOR 10.0. Once the issues identified are remedied, the subsequent suggested improvements require validation through empirical testing.
Originality/value
– Despite SCOR's wide acceptance as a reference model in managing SC operations, there has been no investigation of its approach to SCRM. The analysis addresses this lack of prior investigation by analysing SCRM in the latest version, SCOR 10.0. The paper identifies deficiencies and suggests amendments regarding SCRM's coverage and integration of SCRM.
In: Management Science, in press.
SSRN
Working paper
SSRN
Working paper
SSRN
In: European addiction research, Band 27, Heft 5, S. 351-361
ISSN: 1421-9891
<b><i>Background:</i></b> To date, there has been little investigation on how motivational and cognitive mechanisms interact to influence problematic drinking behaviours. Towards this aim, the current study examined whether reward-related attentional capture is associated with reward, fear (relief), and habit drinking motives, and further, whether it interacts with these motives in relation to problematic drinking patterns. <b><i>Methods:</i></b> Ninety participants (mean age = 34.8 years, SD = 9.1, 54% male) who reported having consumed alcohol in the past month completed an online visual search task that measured reward-related attentional capture as well as the Habit Reward Fear Scale, a measure of drinking motives. Participants also completed measures of psychological distress, impulsivity, compulsive drinking, and consumption items of Alcohol Use Disorders Identification Test. Regression analyses examined the associations between motives for alcohol consumption and reward-related attentional capture, as well as the associations between reward-related attentional capture, motives, and their interaction, with alcohol consumption and problems. <b><i>Results:</i></b> Greater reward-related attentional capture was associated with greater reward motives. Further, reward-related attentional capture also interacted with fear motives in relation to alcohol consumption. Follow-up analyses showed that this interaction was driven by greater fear motives being associated with heavier drinking among those with lower reward-related attentional capture (i.e., "goal-trackers"). <b><i>Conclusion:</i></b> These findings have implications for understanding how cognition may interact with motives in association with problematic drinking. Specifically, the findings highlight different potential pathways to problematic drinking according to an individual's cognitive-motivational profile and may inform tailored interventions to target profile-specific mechanisms. Finally, these findings offer support for contemporary models of addiction that view excessive goal-directed behaviour under negative affect as a critical contributor to addictive behaviours.