behavioral operations management
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2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fatemeh Sahar Goudarzi ◽  
Paul Bergey ◽  
Doina Olaru

Purpose The recent surge in behavioral studies on the coordination mechanisms in supply chains (SCs) and advanced methods highlights the role of SC coordination (SCC) and behavioral issues associated with improving the performance of the operations. This study aims to critically review the behavioral aspect of channel coordination mechanisms. Design/methodology/approach Following a systematic literature review methodology, the authors adopt a combination of bibliometric (to reflect the current state of the field), content (using Leximancer data mining software to develop thematic maps) and theory-oriented qualitative analyzes that provide a holistic conceptual framework to unify the literature’s critical concepts. Findings The analysis confirms the plethora of risk-oriented publications, demonstrating that the second largest category of studies is concerned with social preferences theory. Most studies were based on experiments, followed by analytical modeling, revealing the impact of heuristics and individual preferences in SC decisions and suggesting promising managerial and theoretical avenues for future research. Originality/value The study sheds light on behavioral decision theories applied to SC coordination by categorizing the literature based on the adopted theories. The methodological contributions include using automated content analysis and validating the outcome by interviewing leading scholars conducting active research on “behavioral operations management and SC contracts.” The authors also propose several directions for future research based on the research gaps.


2021 ◽  
Vol 61 (6) ◽  
Author(s):  
Roberta de Cássia Macedo ◽  
Ricardo Silveira Martins ◽  
Jonathan Simões Freitas

RESUMO O objetivo deste estudo foi investigar se combinações de fatores da Cultura Organizacional (CO) e dos Traços da Personalidade de gestores de compras e vendas são relevantes para explicar a colaboração na rede de suprimentos (CRS). Utilizaram-se como referenciais teóricos: Behavioral Operations Management (BOM), Comportamento Organizacional e Rede de Suprimentos (RS). Aplicou-se questionário eletrônico, autoadministrado e baseado em instrumentos difundidos na literatura. A análise foi feita pela Qualitative Comparative Analysis com condições dicotomizadas. A CRS com fornecedores apresentou diferentes associações com os construtos comportamentais quando comparados com a CRS com clientes, evidenciando que há diferenças comportamentais entre gestores de compras e de vendas. A qualificação da CRS sugere que as exigências comportamentais para a contratação de gestores de compras e de vendas são diferentes, assim como as relações com os clientes são prioritárias dentro da organização.


2020 ◽  
Vol 4 (2) ◽  
pp. 91-105
Author(s):  
Bulent Cekic

Abstract: Aim: This paper is going to investigate how Industry 4.0 concept especially the components of it, behaves in social networks and the context of this innovative approach find a place in time in means of content and sentiment comprising. Design / Research methods: Expeditious progress in industrialization and information techniques has made great advancement in developing the next span of production technology. Industry 4.0 is an imperative action where the intention is the alteration of modern production through digitalization and profiteering of the capabilities of new advancements. Today, the absence of powerful appliances still feigns a significant impediment for utilizing the ample potential of Industry 4.0. Notably, behavioral approaches are essential for understanding Industry 4.0, which professes novel trials. This paper briefly surveys the area of Industry 4.0 as it relates to behavioral operations by using sentiment analysis and social network analysis methods and tools by describing features of the relationship network either through numerical and visual representation Conclusions / findings: First of all, it should be presumed that the name Industry 4.0 describes various, fundamentally internet-based developments in manufacturing operations. These advancements do not only have technological but moreover accomplished organizational engagements. Appropriately, a shift from product to service orientation is assumed. Following, the introduction of novel varieties of businesses can be envisioned which embraces new particular functions within the production process sequentially the value-creation networks. Originality / value of the article: Within the context of the current state of the art in operations management literature, this paper fulfills the gap between behavioral operations and industry 4.0 context for the researchers both in operations management and behavioral sciences will benefit from this analysis. Keywords: Behavioral Operations Management, Sentiment Analysis, Industry 4.0, Social Network Analysis. JEL: C88, D23, D24, E71, M11, O14, O33


2020 ◽  
Vol 40 (7/8) ◽  
pp. 997-1039 ◽  
Author(s):  
H. Niles Perera ◽  
Behnam Fahimnia ◽  
Travis Tokar

PurposeThe success of a supply chain is highly reliant on effective inventory and ordering decisions. This paper systematically reviews and analyzes the literature on inventory ordering decisions conducted using behavioral experiments to inform the state-of-the-art.Design/methodology/approachThis paper presents the first systematic review of this literature. We systematically identify a body of 101 papers from an initial pool of over 12,000.FindingsExtant literature and industry observations posit that decision makers often deviate from optimal ordering behavior prescribed by the quantitative models. Such deviations are often accompanied by excessive inventory costs and/or lost sales. Understanding how humans make inventory decisions is paramount to minimize the associated consequences. To address this, the field of behavioral operations management has produced a rich body of research on inventory decision-making using behavioral experiments. Our analysis identifies primary research clusters, summarizes key learnings and highlights opportunities for future research in this critical decision-making area.Practical implicationsThe findings will have a significant impact on future research on behavioral inventory ordering decisions while informing practitioners to reach better ordering decisions.Originality/valuePrevious systematic reviews have explored behavioral operations broadly or its subdisciplines such as judgmental forecasting. This paper presents a systematic review that specifically investigates the state-of-the-art of inventory ordering decisions using behavioral experiments.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
S. Yamini

PurposeThe traditional newsvendor model has focused on deriving the optimal order quantity that minimises the balance between stocking too much or too less number of products. However, the managers make inventory decisions based on intuitions and shortcuts, which may involve human errors and biases. The effect of cognitive biases and heuristics influencing the inventory ordering decisions in newsvendor settings is highlighted. The advancement of research associated to the newsvendor biases is reviewed to appreciate the behavioral aspects of the minds underlying this process.Design/methodology/approachThe use of experimental and non-experimental methods to investigate the ordering behaviour of newsvendors is described and we present a framework of the existing literature and highlight the research gaps to point to future research possibilities and priorities.FindingsThe proposed framework gives a systematic approach to confirm the existence of a substantial scope of research opportunities and points to specific areas for further research. It synthesizes the existing results of behavioral newsvendor research and will act as a key reference paper. In addition, it will help the practitioners and software tool vendors to comprehend the behavioral perspective of newsvendor preferences and design strategies to mitigate this effect. The insights will be helpful for academicians, researchers and practitioners working in the areas of experimental economics, behavioral economics, behavioral operations, bounded rationality theory, newsvendor modelling and supply chain contracts.Originality/valueA summary of literature in this evolving area of research is very scarce. Considering the impact of behavioral economics on managerial decisions in the contemporary world, it is highly important to have an educational summary which can act as a tool for the practitioners and researchers in the area of behavioral operations management.


2019 ◽  
Vol 1 (3) ◽  
Author(s):  
Rosa Hendijani

Behavioral operations management (BOM) is one of the new areas in operations management. In the past 12 years, the field has made huge progress and researchers have become interested in this new perspective to solving operational problems. BOM is now one of the major subfields of operations management. In this paper, we examine and categorize areas of BOM based on the mainstream literature. Key areas include behavioral issues in new product development and project management, quality management, production management, inventory management, service operations, and forecasting. Studies in each area are divided into three subcategories, including OM context, individual attributes, heuristics, and biases, and individual differences. In OM context category, feedback and reward, training, work monitoring, teamwork and group decision making, goal setting, task assignment, and flexibility are among the main topics. In individual attributes, heuristics, and biases category, sunk cost effect and escalation of commitment, endowment effect, overprecision bias, planning fallacy, pull-to-center effect, anchoring and insufficient adjustment, and misperceptions of feedback are mainly discussed. In individual differences, analytic thinking and system thinking are mainly studied. New areas for research are suggested in each related section and are summarized in future directions and conclusion sections. In contexts such as new product development, project management, and inventory management, a shift to finding solution to performance improvement is beneficial instead of focusing on heuristics and biases and considering them as a deficiency in human decision making. Regarding individual differences category, a shift toward attributes other than cognitive abilities, such as global processing, creative thinking, and design thinking are recommended.


2019 ◽  
Vol 19 (1) ◽  
pp. 1
Author(s):  
Soma Lilhare ◽  
Sudhir Ambekar ◽  
Debmallya Chatterjee ◽  
Amol Dhaigude

2018 ◽  
Vol 268 (1-2) ◽  
pp. 1-4 ◽  
Author(s):  
Zhimin Huang ◽  
Shaofu Du ◽  
Yugang Yu ◽  
Liang Liang

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