Do personal traits influence inventory management performance?—The case of intelligence, personality, interest and knowledge

Strohhecker, Jürgen; Größler, Andreas

doi:10.1016/j.ijpe.2012.08.005

Cited by 39 publications

(34 citation statements)

References 79 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such conditions included the educational and knowledge level, management commitment and the organisational design and function of planning and control (Jonsson and Mattsson, 2008). Strohhecker and Grobler (2013) suggested that appropriate knowledge was critical in implementing systematic IMPs. Thus, we suggest that the presence of knowledgeable staff or owners/managers is associated with a better adoption of IMPs.…”

Section: Knowledge Of Imps and Performancementioning

confidence: 99%

The mediating effect of knowledge of inventory management in the relationship between inventory management practices and performance: The case of micro retailing enterprises

Ahmad¹,

Zabri²

2018

JBRMR

View full text Add to dashboard Cite

show abstract

Section: Knowledge Of Imps and Performancementioning

confidence: 99%

The mediating effect of knowledge of inventory management in the relationship between inventory management practices and performance: The case of micro retailing enterprises

Ahmad¹,

Zabri²

2018

JBRMR

View full text Add to dashboard Cite

show abstract

“…First, some differences we found in our analyses need more support, especially with respect to a more refined research on the degree of expertise in the context of operations management tasks. Second, as literature has provided mixed results with regard to the influence of social background and personality on the effectiveness of feedback systems in decision making (Bonner, 2008;Strohhecker and Größler, 2013), such topics need further consideration in future studies. 2.…”

Section: Discussionmentioning

confidence: 99%

Determinants of feedback effectiveness in production planning

Letmathe

Zielinski

2016

International Journal of Operations &Amp; Production Management

View full text Add to dashboard Cite

Purpose -The focus is the interplay of cognitive capabilities (mathematical understanding and heuristic problem solving) and learning from feedback. Furthermore, the authors analyze the role of individual factors in designing appropriate feedback systems for complex decision-making situations. Based on a learning model the purpose of this paper is to present an experimental study analyzing the feedback effectiveness in a repeated complex production planning task. Referring to individual characteristics in terms of educational background and problem solving capabilities of the decision maker the authors compare different forms of feedback systems. Design/methodology/approach -The authors performed four experiments bi-weekly based on a realistic production planning situation. Participants receiveddepending on the treatmentdifferent types of feedback concerning the final outcomes of the production plans. For testing the hypotheses, the authors conducted ANCOVAs and additional post hoc tests for each subgroup to explore the effects of different types of feedback on the subgroups' decision-making performance. Findings -The authors show that feedback information is not always helpful, but due to acquired knowledge and problem solving capabilities can even be harmful. The authors also show that, depending on the decision maker's individual characteristics and her past performance, the type of feedback is crucial for the learning process. Practical implications -The study provides important information about feedback design taking individual characteristics of decision makers (educational background, work experience) into account. Applying the results of the study can increase decision-making performance and enhance learning of production planning tasks. Originality/value -The findings extend previous literature reporting that the performance in complex decision-making tasks depends on educational background and on the ability to cope with the phenomena of cognitive load, working memory limitations and the capability to utilize relevant heuristics to prevent information overload. Some of our results, e.g., the negative impact of non-financial feedback of high-performing economists, contradict the general findings in the literature.

show abstract

“…Using historical firm‐level data, Bray and Mendelson (2012) demonstrated that demand signals, observed by firms, had an influence on the magnitude of bullwhip effect whereby the shorter notice of the demand signals, the higher magnitude of bullwhip effect. In addition, Strohhecker and Größler (2012) found that in a dynamic environment with complex inventory management task, decision makers’ personality traits were significantly related to inventory management performance (i.e., their intelligence had a positive effect on inventory management performance whereas their interest for social issues and openness to new experience had the opposite effects).…”

Section: Literature Backgroundmentioning

confidence: 99%

Agent‐system co‐development in supply chain research: Propositions and demonstrative findings

Tangpong

Hung

2014

J of Ops Management

View full text Add to dashboard Cite

a b s t r a c tIn this study, we develop an agent-system co-development (ASC) theoretical framework for behavioral research in supply chains. The ASC framework aims at explaining the dynamic agent-system relationships in supply chains whereby both action-influencing properties of human agents (e.g., beliefs, personalities, attitudes) and governance-influencing properties of supply chain systems (e.g., social norms, powerdependence, partnerial/adversarial relationship forms) mutually influence each other over time. Two empirical studies are conducted to illustrate how ASC can be a useful theoretical framework in supply chain research and to partially validate the central thesis of ASC in the contexts of partnerial/adversarial supply chain relationships and cooperative/competitive attitudes of human agents in supply chains. The results of both studies support the central thesis of ASC regarding the dynamic agent-system relationships. From two replicated experiments in Study 1, the results suggest that agents' cooperative and competitive attitudes in business relationships are altered as they are exposed to different supply chain conditions of partnerial and adversarial relationships. In addition, from the multi-method research efforts in Study 2, the results from two survey studies and an experiment are largely consistent with one another, suggesting that personnel turnovers in existing supply chain systems can eventually lead to changes in supply-chain-system properties including the degrees of long-term commitment, information sharing, and joint problem-solving between supply chain partners, as well as the frequency of opportunism occurrences in the supply chains. Finally, we propound that the dynamic agent-system relationships proposed in the ASC framework can be a useful analytical lens in viewing various supply chain issues, such as supply chain evolutions and changes, supply chain designs and personnel decisions, and self-reinforcing feedback loops and decision tendencies in supply chains.

show abstract

Do personal traits influence inventory management performance?—The case of intelligence, personality, interest and knowledge

Cited by 39 publications

References 79 publications

The mediating effect of knowledge of inventory management in the relationship between inventory management practices and performance: The case of micro retailing enterprises

The mediating effect of knowledge of inventory management in the relationship between inventory management practices and performance: The case of micro retailing enterprises

Determinants of feedback effectiveness in production planning

Agent‐system co‐development in supply chain research: Propositions and demonstrative findings

Contact Info

Product

Resources

About