Investigating the impact of behavioral factors on supply network efficiency:insights from banking’s corporate bond networks

This paper highlights the role of behavioral factors for efficiency measurement in supply networks. To this aim, behavioral issues are investigated among interrelations between decision makers involved in corporate bond service networks. The corporate bond network was considered in three consecutive stages, where each stage represents the relations between two members of the network: issuer-underwriter, underwriter-bank, and bank-investor. Adopting a multi-method approach, we collected behavioral data by conducting semi-structured interviews and applying the critical incident technique. Financial and behavioral data, collected from each stage in 20 corporate bond networks, were analyzed using fuzzy network data envelopment analysis to obtain overall and stage-wise efficiency scores for each network. Sensitivity analyzes of the findings revealed inefficiencies in the relations between underwriters-issuers, banks-underwriters, and banks-investors stemming from certain behavioral factors. The results show that incorporating behavioral factors provides a better means of efficiency measurement in supply networks

A Review of the Existing and Emerging Topics in the Supply Chain Risk Management Literature

This review examines supply chain risk publications across nine prestigious management, operations, and supply chain journals with respect to exploring trends and emerging topics. Using a refined set of keywords, we extract and filter the most relevant supply chain risk management (SCRM) articles from Scopus between 2001 and 2019. Unlike previous reviews of the SCRM literature, our methodology utilizes both bibliometric and cocitation analyses of publications in selective management and operations and supply chain management journals. In addition to analyzing the current state of the SCRM literature via bibliometric analysis, we delve deeply into the clusters of literature informing SCRM studies through a cocitation analysis. By conducting a text analysis on these clusters, we identify the main themes and provide insights regarding article relevance, theoretical frameworks, and methodologies for each cluster. In addition, we categorize the themes within each cluster into three main groups of matured, developing, and emerging. Based on the identified categories, we provide detailed discussions on the promising avenues for research and practice in three main areas of sustainable SCRM, behavioral SCRM, and nascent methodologies and theories in SCRM studies. Finally, we dedicate a section in our review to discussing the direction of SCRM research during and after the coronavirus disease 2019 era

Identification and analysis of operational and behavioural risks emerging and propagating in supply chains: a multi-method approach

Thesis by publication.Bibliography: pages 221-271.Chapter One. Introduction -- Chapter Two. Operational risks and resilience in supply chains -- Chapter Three. Behavioural risks in supply chains -- Chapter Four. Risk and vulnerability in service triads -- Chapter Five. Conclusion and discussions -- References -- Appendices.The study of supply chain risks can be conducted from various perspectives, including types of risks and supply chain structure. First, from the aspect of the types of supply chain risks, the thesis investigates operational and behavioural risks both separately and in tandem. For operational risks, the proposed research model tackles a critical research problem in supply chain risk literature, which revolves around making a link between supply chain resilience and risk assessment. Outsourcing malfunctions and risks associated with them are analysed as a specific type of operational risk that is prevalent in modern supply chains. For behavioural risks, the risk attitudes of decision makers and their impact on inventory decisions are investigated. Another study, conducted at the intersection of behavioural and operational risks, shows the importance of considering both types of the aforementioned risks while assessing vulnerabilities in supply chains. Second, the research adopts the viewpoint of supply chain structure, investigating supply chains and their vulnerability to risks in forms of service supply networks, in particular in service triads.Most of the studies adopt a multi-method approach, proposing analytical models to assess supply chain vulnerability to risks and testing these models using surveys, interviews, archival data or behavioural experiments.Mode of access: World wide web1 online resource (xv, 288 pages) diagrams, graphs, table

A Three-step design science approach to develop a novel human resource-planning framework in projects : the cases of construction projects in USA, Europe, and Iran

Developing a comprehensive human resource (HR)-planning framework that corresponds to the variety of HR-related issues has seldom been observed in existing project management literature. The present study applies a three-step design science approach to introduce a holistic HR-planning framework. The rigor and relevance cycles in this approach address the HR-related issues in projects and the shortcomings of the literature associated with developing a thorough HR-planning framework. Subsequently, the proposed framework is being validated by an exploratory study undertaken at Parsons Brinckerhoff (USA) and BISOL Group (EU). Next, in line with the guidelines of the design cycle for justifying the use of the framework, a survey is conducted on the collected data from 110 Iranian experts in the construction industry. Using Partial Least Squares for analyzing the data, the outcomes indicate that 'Empowerment/Training' could significantly improve the performance of HRs in projects. The results also confirm the substantial impact of 'Quality Assessment' on the constructs included the HR-planning framework. Furthermore, 'Networking Management', 'Delegating', and 'Reward/Compensation' are prioritized as the subsequent influential constructs for effective HR management practices.16 page(s

The effect of employee CSR attitudes on job satisfaction and organizational commitment : evidence from the Bangladeshi banking industry

Purpose: This paper aims to investigate the relations between employee corporate social responsibility (CSR) attitudes on job satisfaction (JS) and organizational commitment (OC) in the context of Bangladeshi banks in the developing world. Specifically, it examines the relationship of CSR attitudes with the three diverse aspects of OC: affective OC, normative OC and continuance OC. Design/methodology/approach: Comparisons are made via survey data obtained from 502 employees of two banks in Bangladesh using structural equation modeling analysis. The research instrument in four sections illustrates the most common measures in the literature used to evaluate the constructs and their interrelations according to the proposed conceptual model of the study. Findings: The outcomes of the study reveal that there is a positive relationship between employee CSR attitudes, and both JS and OC. In addition to establishing a relationship between CSR attitudes and "Affective OC", this study also found a relationship with "Normative OC", which is less common in the existing literature. Research limitations/implications: The limitations of the study mostly revolve around sample and social desirability. To further test the generalizability and cross-sectional validity of the outcomes, it is suggested that the proposed framework be tested in several other industrial/service sectors of developing countries. Practical implications: The findings of the present research encourage companies in the developing world to adopt CSR practices to increase rates of JS and OC. Originality/value: The study contributes to the literature on CSR and positive workplace outcomes, specifically in the developing world context. Additionally, and unlike past research, the results show the significant effect of employee CSR attitudes on both affective OC and normative OC.19 page(s

A robust approach to design a single facility layout plan in dynamic manufacturing environments using a permutation-based genetic algorithm

During the past few decades, developing efficient methods to solve dynamic facility layout problems has been focused on significantly by practitioners and researchers. More specifically meta-heuristic algorithms, especially genetic algorithm, have been proven to be increasingly helpful to generate sub-optimal solutions for large-scale dynamic facility layout problems. Nevertheless, the uncertainty of the manufacturing factors in addition to the scale of the layout problem calls for a mixed genetic algorithm–robust approach that could provide a single unlimited layout design. The present research aims to devise a customized permutation-based robust genetic algorithm in dynamic manufacturing environments that is expected to be generating a unique robust layout for all the manufacturing periods. The numerical outcomes of the proposed robust genetic algorithm indicate significant cost improvements compared to the conventional genetic algorithm methods and a selective number of other heuristic and meta-heuristic techniques

An analytical model for system-wide and tier-specific assessment of resilience to supply chain risks

Purpose - Based on the emerging view of supply chains as complex adaptive systems, this paper aims to build and test an analytical model for resilience assessment surrounding supply chain risks at the level of the supply chain system and its individual tiers. Design/methodology/approach - To address the purpose of this study, a multimethod research approach is adopted as follows: first, data envelopment analysis (DEA) modelling and fuzzy set theory are used to build a fuzzy network DEA model to assess risk resilience of the overall supply chains and their individual tiers; next, the proposed model is tested using a survey of 150 middle- and top-level managers representing nine industry sectors in Iran. Findings - The survey results show a substantial variation in resilience ratings between the overall supply chains characterizing nine industry sectors in Iran and their individual tiers (upstream, downstream and organizational processes). The findings indicate that the system-wide characteristic of resilience of the overall supply chain is not necessarily indicative of the resilience of its individual tiers. Practical implications - High efficiency scores of a number of tiers forming a supply chain are shown to have only a limited effect on the overall efficiency score of the resulting supply chain. Overall, our research findings confirm the necessity of adopting both the system-wide and tier-specific approach by analysts and decision makers when assessing supply chain resilience. Integrated as part of risk response and mitigation process, the information obtained through such analytical approach ensures timely identification and mitigation of major sources of risk in the supply chains. Originality/value - Supply chain resilience assessment models rarely consider resilience to risks at the level of individual supply chain tiers, focusing instead on the system-wide characteristics of supply chain resilience. The proposed analytical model allows for the assessment of supply chain resilience among individual tiers for a wide range of supply chain risks categorized as upstream, downstream, organizational, network and external.21 page(s