1,721,091 research outputs found
Revisiting the patient–physician relationship under the lens of value co-creation and defensive medicine
Full text linkPurpose: This study formulates a new archetypical model that describes and re-interprets the patient–physician relationship from the perspective of two widespread phenomena in the healthcare delivery process: value co-creation (VCC) and defensive medicine (DM). Design/methodology/approach: Grounded in the existing literature on VCC and DM, the authors designed and conducted 20 in-depth interviews with doctors (and patients) about their past relationships with patients (and doctors). After putting the recorded interviews through qualitative analysis with a three-level coding activity, the authors built an empirically informed model to classify patient–physician relationships. Findings: The authors identified four archetypes of patient–physician relationships. Each archetype is described along with its representing characteristics and explained in terms of its consequences as they relate to VCC and DM. Research limitations/implications: This research contributes to the literature on both VCC in healthcare and DM, in addition to the patient–physician's relationship literature. Practical implications: Being aware of patient–physician relationship mechanics, building long-term relations with patients and investing in service personalization and patient-centred care can effectively mitigate the risks of DM behaviours on one side while increasing the likelihood of VCC actualization on the other. Originality/value: Although strictly linked to the interactions between patients and doctors, VCC and DM are typically considered disentangled. In this research paper, the authors identified four archetypes of patient–physician relationships in relation to these two phenomena
Unfolding the relationship between digital health and patient safety: The roles of absorptive capacity and healthcare resilience
No full textDigital health (DH) in healthcare is more frequently used by line professionals, such nurses and physicians, while executing care processes. However, nowadays research is not able to state if outcomes related to its implementation are unequivocally positive or negative in terms of healthcare performance. In this paper we aim at contributing to this relevant debate by introducing the concept of healthcare resilience in the discourse. Being resilient, namely having the capability to absorb strain and keep working even when things are difficult is crucial to allow healthcare organizations taking negative events on when they, unavoidably, occur. Negative events, such as errors or operational features, threat healthcare performance and patient safety in everyday healthcare practice. We developed a hybrid literature- and empirical-informed conceptual model and tested it by using data collected through a multi-respondent survey. This paper: 1) elaborates on the theory of absorptive capacity (ACAP) and introduces the new concept of patient-specific knowledge ACAP; 2) offers insights about the relationship between DH and ACAP, a relationship not enough analysed; 3) proposes a new way to measure resilience in healthcare
The four spheres of value co-creation in humanitarian professional services
No full textPurpose: The study focuses on the value co-creation processes in humanitarian professional services provision, analysing the key enabling factors of beneficiaries' participation, involved in long-term integration programmes (L-TIPs). Design/methodology/approach: Through an in-depth case study, the research looks at the practices of value co-creation in humanitarian professional services, considering both the perspectives of the professional service provider and beneficiary. Findings: In professional services beneficiary's participation affects the success of the L-TIPs outcomes. Participation's enablers can be classified into four different spheres, each belonging to different elements of professional service: the beneficiary, the professionals, the service design and the external environment. Research limitations/implications: This paper contributes to the literature on humanitarian operations & supply chain management. By focussing on an understudied phase of the disaster life-cycle management, it contributes to the theory of value co-creation by exploring new issues and drivers of beneficiary's participation. Practical implications: This research has interesting implications for policymakers and humanitarian practitioners. First, guidelines for professionals' behaviours and interventions should be designed as well as new practices and strategies should be adopted. Second, governments should avoid concentrating L-TIPs in few big humanitarian centres. Originality/value: The study focuses on an understudied stage of humanitarian operations, namely the L-TIPs, and uses this setting to build on the theory of value co-creation in professional services by identifying its enabling factors, clustered into four spheres, namely beneficiary, professional, service design and environmental
Resilience practices and patient safety: a multiple case study
No full textResilience capacity/behaviour is receiving more and more attention within the
Operations Management academic and practitioner community because of the general
awareness regarding the impossibility to prevent any kind of failure/disaster that may
occur in whatever work system. However, in healthcare operations management domain
there is a deep “lack of knowledge” about resilience practices, even if few studies on
similar concepts, such as the work-around practices, have already been conducted. In
this paper we describe 13 cases of resilience practices that we found to be implemented
within an Italian hospital and we analyse them through the lens of operational failure
literature and supply chain resilience literature. This multiple case study allow us to
identify, define and categorize the resilient practices adopted within healthcare work
systems, and to check their efficacy, policy compliancy and enforceability
The influence of NGO-corporate relationship on environmental disclosure: Evidence from the fashion industry
Full text linkMost NGO-corporate relationships have been founded on conflict. However, this pattern has started to change with the emergence of more collaborative (dialog-based) approaches. Academic inquiry into how NGOs influence corporate policies related to sustainable development is a novel field of investigation. This article aims to identify the potential role of conflictual versus collaborative relationships between NGOs and companies in influencing the quality of the environmental disclosure (ED). We also investigate how NGOs may unintentionally lead companies to adopt greenwashing practices. In this article, we derive five propositions by studying the relationships between Greenpeace and 24 firms operating in the fashion industry through a qualitative longitudinal analysis. We gathered data through three semi-structured interviews with the Greenpeace Global Corporate Leader of the Detox Campaign and content analysis of corporate communication documents. Our findings suggest that company behavior toward ED and the odds of greenwashing practices are affected by type of relationship established with NGOs. Specifically, if the NGO-corporate relationship is conflictual, companies tend to achieve higher ED quality in the short and intermediate terms. Vice versa, more collaborative (dialog-based) relationships result in initially low ED quality. However, in the long run, under both types of relationship the quality of ED settles at a medium level. Moreover, NGOs' communication, activism intensity, and pressure constitute powerful means of persuasion and contribute to increasing a campaign engagement rate. However, too much pressure may create a fertile ground for greenwashing, and so may an everlasting conflictual relationship between NGO and companies
Reconfiguration: a key to handle exceptions and performance deteriorations in manufacturing operations
No full textDuring a manufacturing operation, exceptions may occur dynamically and unpredictably. Their occurrence may lead to the degradation of system performance or, in the worst case scenario may interrupt the production process by causing errors in the schedule plan. This paper classifies three families of exceptions: (1) out-of-order events such as machine breakdowns, (2) operational out-of-ordinary events such as rush orders and (3) deteriorations of manufacturing resource performance such as reductions of machines’ utilization. In all cases, in order to maintain an adequate level of system performance, it is necessary to detect exceptions, to diagnose them quickly and to recover them by taking corrective actions to avoid fault propagations. Decisions concerning how to deal with exceptions, i.e. which strategy to implement, depend on the manufacturing environment (dedicated line, flexible system, reconfigurable system or a mix of them) and the advantages arising from using a certain exception handling policy vary from one production system to another. The activity of reconfiguring manufacturing resources has been demonstrated to be a powerful operation strategy to handle machine breakdowns. This paper extends the concept of ‘reconfiguration for exception handling’ to other families of exceptions and proposes reconfiguration for their recovery. The reconfiguration process is handled by an agent-based control system that implements four negotiation processes among manufacturing resource agents
Groupthink and Project Performance: The Influence of Personal Traits and Interpersonal Ties
Full text linkThis study explores whether the negative impact of "groupthink concurrence-seeking behavior" (GTB) on business process reengineering (BPR) projects is affected by group members personal traits and interpersonal ties within the group. To this purpose we conduct and present the results of a longitudinal controlled field experiment over 18 BPR projects lasting 3 months and involving 18 teams comprising 71 first-year MBA students. The main contribution of this study is twofold. First, we explicitly consider and measure the core construct of groupthink phenomenon: that is, GTB. Existing organizational behavior literature has, contrarily, considered only its causes, symptoms, and outcomes. Second, we show evidence that GTB does have a negative impact on group performance in BPR project settings. In this regards, results also indicate that while perceived control, conscientiousness and interpersonal evaluation mitigate the negative impact of GTB on group project performance, confidence, and previous relationships amplify this negative impact, even if they have a direct positive effect on performance. Thanks to the findings of this study, we are able to provide valuable suggestions to managers in charge of BPR projects for ensuring effective performance of project teams and controlling for potential obstacles due to GTB
Global sourcing literature: A citation and co-citation analysis
No full textGlobal sourcing has been one of major trends of last decades and has gained considerable momentum in the academic debate. After more than thirty years of research on this topic, the aim of this paper is to evaluate the evolution of the field and understand its intellectual structure. Rather than conducting a traditional systematic literature review, we employed the bibliometric citation and co-citation techniques to achieve the aforementioned aim. This allowed us to identify the major publications in the field and map the main topics/methods/theories and the underlying general relationships between them
Artificial intelligence to counteract “KPI overload” in business process monitoring: the case of anti-corruption in public organizations
No full textPurpose: The nature and amount of data that public organizations have to monitor to counteract corruption lead to a phenomenon called “KPI overload”, consisting of the business analyst feeling overwhelmed by the amount of information and resulting in the absence of appropriate control. The purpose of this study is to develop a solution based on Artificial Intelligence technology to avoid data overloading and, at the same time, under-controlling in business process monitoring. Design/methodology/approach: The authors adopted a design science research approach. The authors started by observing a specific problem in a real context (a healthcare organization); then conceptualized, designed and implemented a solution to the problem with the goal to develop knowledge that can be used to design solutions for similar problems. The proposed solution for business process monitoring integrates databases and self-service business intelligence for outlier detection and artificial intelligence for classification analysis. Findings: The authors found the solution powerful to solve problems related to KPI overload in process monitoring. In the specific case study, the authors found that the combination of Business Intelligence and Artificial Intelligence can provide a significant contribution to the detection of fraud, corruption and/or policy misalignment in public organizations. Originality/value: The authors provide a big-data-based solution to the problem of data overload in business process monitoring that does not sacrifice any monitored Key Performance Indicators and that also reduces the workload of the business analyst. The authors also developed and implemented this automated solution in a context where data sensitivity and privacy are critical issues. © 2023, Emerald Publishing Limited
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