1,720,967 research outputs found
HOW MANAGERS PERCEIVE AND ASSESS SUPPLY CHAIN RISKS? EMPIRICAL RESULTS FROM A SAMPLE OF EUROPEAN ORGANIZATIONS
The purpose of this article is to investigate the process of supply chain risk assessment as practiced by managers. The study proposes a model of supply chain risk assessment, based on the investigation of how risk owners perceive risk and assessment different risk categories and risk drivers. Finally, the paper explores what risk assessment techniques are used. This research is followed by a preliminary and exploratory empirical investigation. The research shows that supply chain managers generally view risks as under-performance, investigating the relationship between supply chain risks, other risks categories, and the (limited) use of risk drivers in assessing supply chain risks. Finally, we found that qualitative risk assessment methods are more used than quantitative methods. This research contributes the limited literature on empirical testing of supply chain risk management practices. However, this research is exploratory in nature and is based on limited (though diverse) sample from Europe. There is an opportunity to test the model in different countries and with larger sample sizes. There is an opportunity for managers to understand how risk could be leveraged for long term gains in a supply chain context, how to rely on a mix of qualitative and quantitative tools, and understand how different managers assign importance to different types of risk. This is one of the few empirically - driven studies on risk management, specifically on supply chain risks and related risk drivers
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Exploring the Impact of Decentralization of Decision Making and Complexity on Supply Chain Resilience
The purpose of this three-essay dissertation is to synthesize and extend the effects of decentralization in decision-making and supply chain complexity in the context of supply chain resilience (SCRES).First essay contributes to theory and practice by expanding resilience thinking into including supply chain orientation and organizational structure and their implications and also responds to prior research arguing for the importance of identifying organizational factors that improve supply chain resilience. Second essay contributes to the supply chain organizational structure and SCRES literature by not just providing empirical support for decentralization of decision making in times of disruptions but more precisely by showing the factors that either impede or facilitate decentralization at the organizational level. Understanding the interplay among these factors is critical to explaining the lack of success for decentralization in the context of SCRES. Third essay contributes to practice by reviewing some of the major complexity drivers present in the supply chains and providing strategies along with a four-step process that practitioners can use to manage complexity
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Exploring Adoption, Implementation, and Use of Autonomous Mobile Robots in Intralogistics Applications
Autonomous mobile robots (AMRs) use decentralized, AI-driven decision-making processes to providing material handling capabilities in industrial settings. Essay 1 examines how firms organize and engage to mitigate uncertainty during external technology integration (ETI), using an abductive approach with dyadic customer-supplier data to extend prior ETI models by exploring firm engagement, organizational adaptation, and distinct uncertainty types in AMR ETI projects. Essay 2 applies a grounded theory approach to examine AMR integration, using constant comparison and theoretical sampling to develop core categories explaining how suppliers, customers, and users exchange knowledge impacting AMR integration and project performance. Finally, Essay 3 is a conceptual paper examining the importance of end-user adoption by integrating ETI and technology acceptance model (TAM) frameworks, exploring important relationships between managerial interventions, cognitive constructs, user acceptance, and project success in AMR ETIs. As a whole, these essays contribute to the body of knowledge by extending the breadth and depth of current ETI models, emerging a substantive theory of AMR AIU, and extending TAM by grounding managerial interventions and individual cognitive constructs in an AMR context. Managers can use these frameworks to differentiate AMRs and other autonomous collaborative technology from traditional automation, and develop strategies enabling timely and effective AMR implementation
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Supply Chain Learning: A Grounded Theory Analysis
Under the unifying theme of supply chain learning, this three essay dissertation extends scholarship by investigating these multi-tier relationships. Theory is emerged, grounded in data, gathered from functioning supply chains in an effort to provide scholars and practitioners with an increased understanding of the SCL phenomena. Essay 1, entitled "Supply Chain Learning: An Exploratory Literature Review" examines the current literature in an attempt to address the shortcomings and emerge areas that have been less explored and less understood. By exposing these areas of research opportunities using a grounded theory methodology, a framework was emerged allowing identification of the limitations of extant literature and providing a springboard for future research. This framework also allowed further investigation into the SCL processes and expansion of the current understanding by providing academia with a comprehensive review of the literature and revealing the shortcomings that exist related to SCL.
Using the framework emerged in Essay 1, Essay 2 entitled "Toward Supply Chain Learning: A Focus on the Customers of Logistics Service Providers" explores the rationalization and cognitive processes of senior level executives of firms utilizing national or global supply chains. These respondents are directly engaged in creating, establishing and operating relationships with third party logistics (3PL) providers within a functioning supply chain. By examining the relationships and processes from the point of view of customers of third party logistics providers, a unique perspective provides insight into these relationships. Using semi-structured interviews with these executives, grounded theory was once again used to emerge theory explaining the phenomena of SCL. In particular, this research examines the elements studied from the perspective of customers of third party logistics providers as they seek to develop new processes and solutions in hopes of obtaining a competitive advantage by adaptive learning with the help of their providers and trading partners. In addition, this research increases our understanding of SCL by examining a relationship between customers and 3PL providers, their experiences and outcomes.
Essay 3, entitled "Practical Application of Supply Chain Learning" focuses on the implications of the learning relationship and its impact on the practitioner. By providing the findings of the research in a context relatable to practitioners, this culmination of findings allows practitioners to relate the findings directly to their existing supply chains. Realizing that many supply chains are relationship driven, this research focuses on the findings of previous research to provide a more holistic view of the learning relationship process as it exists in multiple tiers of their existing supply chain. Providing a step-by-step explanation of the SCL process as emerged from previous research, executives are provided a tool to better identify, analyze and understand these processes as relatable in their existing environment.
As a methodical analysis of the IOL process, these essays provide the foundation for understanding the relationship process that exists between learning partners in a supply chain. Essay 1 provides basis for theory development by examining current literature and exposing the shortcomings while also emerging a preliminary framework on which to build future research. Essay 2 follows up on these deficiencies and attempts to saturate understanding of the IOL process, particularly from the point of view of 3PL customers in an existing supply chain. Essay 3 delivers these findings to executives in a relatable format, providing a holistic understanding of the phenomena. In summation, this dissertation provides theory emerged from data, explaining the learning relationship from the point of view of the customers of 3PL services, the cognitive dimensions and outcomes of these decisions as they relate to learning in the supply chain
A Computer-Based Simulation Investigation of Environment-Strategy Fit for Risk Management in Global Supply Chains
The purpose of this dissertation is to examine the phenomenon of risk management in global supply chains. Drawing from logistics, supply chain management, operations management, economics, international business, and strategy literatures and a qualitative study, a comprehensive conceptual model of environment-strategy fit for risk management in global supply chains was developed. External environmental conditions comprising of supply and demand risks, four risk management strategies, namely hedging, assuming, postponement, and speculation, and a moderator in the form of a port disruption were chosen for further investigation. The model was quantitatively tested using a simulation.
The findings from this dissertation study reflect mixed results. Findings that conform to existing research, primarily related to hedging and speculation strategies, provide empirical support for extant knowledge that is primarily conceptual or experience-based. On the other hand, findings that are contrary to existing knowledge or are supported under very select conditions, primarily related to assuming and postponement strategies, provide interesting new insights into the phenomenon. The findings add to both theoretical and practical understanding of the phenomenon. This research opens up several new research directions that indicate that continued research is needed to facilitate both theoretical and empirical progress in better understanding of risk management in global supply chains
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Exploring EHR Adoption and Implementation: The Impact of Resource Advantage Theory on Healthcare Organization's Competitive Position
The hospitals and their healthcare providers need to optimize simultaneously three outcomes: healthcare costs, healthcare options offered to customers, and information utilization efficiency. The adoption of electronic healthcare record (EHR) technologies is a potential managerial mechanism for balancing these outcomes. EHR offers patient management and decision support capabilities that can ameliorate health delivery outcomes for patients, doctors, and hospitals through better-informed business and care decisions. The analysis of data collected in an EHR system may lower costs and improve health care delivery (or both). In sum, it could be argued that EHR is a source of competitive advantage. Despite this prima facie appeal, many hospitals remain reluctant to adopt and implement EHR due to lack of insights into return on investment, unavailability of tested systems and data entry obstacles. To address this gap between the potential of EHR system and lack of its adoption, the purpose of this research is to investigate the role of EHR as a resource of competitive advantage for hospital. Essay 1, titled "Implementation and Adoption of EHR: A Conceptual Model based on Resource Advantage Theory", describes the antecedents and consequences of EHR adoption and implementation. Essay 2, titled "Exploring the Relationship Between Electronic Healthcare Record Adoption and Quality of Care", delves deeper into the operational performance of a hospital. This essay focuses on the impact of EHR on different aspects of patient care and thereby on the financial performance of the hospital. Essay 3, titled "The Effect of Resources on a Hospital's Financial Performance: The Moderating Role of Electronic Health Records Implementation and Adoption", is an empirical inquiry into the key factors that may influence hospitals' financial performance. These include organizational factors (such as, number of nurses and beds) and environmental factors (such as, location and received donations). Further, this essay explores the interaction effects between EHR and these factors. In summary, this research provides a conceptualization and an empirical investigation of EHR adoption and implementation and its impact on hospitals' operational and financial performance, an area receiving widespread attention from health care organizations, patient rights activists, public policy makers and the media. Future research can take two paths. First, further research should address questions related to the integration of EHR with other production and inventory management systems, and the prospective benefits attained from system integration. Second research is needed to investigate how parallel information transfer across multiple stakeholders may concurrently preserve Health Insurance Portability and Accountability Act, reduce health care delivery costs and optimize service quality
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A Foot in Two Worlds: Exploring Organizational and Professional Dual Identification
Who am I? Who are you? Who are we? These are some of the fundamental questions that identity scholars have grappled with since the 1900s when researchers across multiple disciplines first began to theorize about the self, identity, and identification. While the benefits and consequences of singular identities has been largely studied, recent scholars have argued for the importance of multiple identity research, as multiple identities have become increasingly salient to individuals due to societal and organizational changes including globalization and technological advancements. An important phenomenon within multiple identity research is dual identification, of which I explore a specific type– identification with both one's organization and one's profession. Using a three-study, quantitative design spanning two industries, I studied the effects of dual identification and identity conflict on individual psychological outcomes, turnover intentions, and OCB engagement. Findings from these three studies, holistically, indicate that when individuals experience identity conflict between their organizational and professional identities, they experience negative outcomes. These negative outcomes – increased emotional exhaustion, psychological distress, and turnover intentions, in addition to reduced OCB engagement – have important ramifications for the individuals themselves and their organization. However, post-hoc results indicate that dual identification – through the main effects of organizational and professional identification – itself leads to positive outcomes. Thus, whether multiple identities are a boon or burden might be a result of whether an individual has reconciled these identities. Ultimately, this research adds to the identity literature by providing a more nuanced view of multiple identities and their outcomes
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Navigating the Complexities of Supply Chain Management with Systems Thinking: A Comprehensive Review, Comparative Analysis, and Holistic Approach
This dissertation focuses on understanding the impact of systems thinking on supply chain management. The first essay presents a systematic literature review, examining the current state of systems thinking research within the context of supply chain management. It explores the similarities and differences in various studies, identifies research gaps, and outlines future opportunities in the field. The second essay investigates the current state of systems thinking in individuals working in supply chains at different stages of their careers. This is achieved through the use of a specially created game called the systems thinking game. The game is designed to assess and enhance systems thinking skills among supply chain professionals. The findings from this study provide valuable insights into the effectiveness of interactive learning tools in developing systems thinking abilities and suggest ways to incorporate these tools into professional development programs. The third essay explores the holistic manageme
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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