Search results

This study develops and tests a model exploring the relationship between supply chain (SC) counterfeit risk management and performance in the healthcare supply chain (HCSC).

In the proposed theoretical model, HCSC counterfeit risk management is characterized by HCSC counterfeit risk orientation (HCRO), HCSC counterfeit risk mitigation (HCRM) and HCSC risk management integration (HRMI), while performance is represented by healthcare logistics performance (HLP) and healthcare organization overall performance (HOP). Partial least squares structural equation modeling (PLS-SEM) and survey data from 55 HCSC managers are used to test the research hypotheses.

HCRO has a significant positive effect on HCRM, while HCRM has a positive impact on HRMI. With respect to HLP, HCRM has a nonsignificant effect, while HRMI has a significant impact, thus confirming the important mediating role of HRMI. Finally, HLP has a significant positive effect on the overall performance of healthcare organizations.

All study participants were from the United States, limiting the generalizability of the study findings to different countries or regions. The sample size employed in the study did not allow the authors to distinguish among the different types of healthcare organizations.

This study delineates between a healthcare organization's philosophy toward counterfeiting risks vs actions taken to eliminate or reduce the impact of counterfeiting on the HCSC. By offering firm-level guidance for managers, this study informs healthcare organizations about addressing the challenge of counterfeiting in the HCSC.

The purpose of this paper is to explore the mediating effect of supply chain risk management integration (RMI) on the relationship between supply chain logistics performance (LP) and supply chain cost performance (CP), as well as on the relationship between LP and supply chain service performance (SP). The impact of CP and SP on overall firm performance (FP) is also explored. ISO 9001-certified firms and non-certified firms are assessed to determine whether superior risk-based thinking, as required in the latest ISO 9001 standard, has a positive impact on the different relationships.

A theoretical model is developed and tested based on the participation of 140 supply chain managers. The proposed structural equation model positively relates LP, RMI, CP and SP. RMI is positively linked to CP and SP, while CP and SP are positively related to overall FP. Two subsamples (a group of 63 ISO 9001-certified firms and a group of 77 non-certified firms) are used to evaluate the model.

For certified and non-certified firms, LP is positively related to RMI, CP and SP, and SP and CP are positively related to FP. However, for certified firms, RMI partially mediates the relationship of LP with both CP and SP, while for non-certified firms, RMI does not mediate these relationships. The findings suggest that ISO 9001-certified firms are able to leverage RMI efforts to impact positively on supply chain performance, whereas non-certified firms are not.

The study findings are based on the perceptions of managers. Even though the majority of the 63 certified firms included in this study were ISO 9001:2015 certified, the model results do not differentiate between companies certified to the 2008 version of the standard and the 2015 version (which specifically requires demonstration of risk-based thinking).

This study suggests that ISO 9001 provides a framework for risk management processes and collaboration with supply chain partners to positively impact the relationship of LP with cost and SP.

This is one of the first studies to characterize the benefits of using a structured approach for risk-based thinking that is associated with ISO 9001.

Managing farm waste is a fundamental problem for farmers with economic, environmental and social impacts throughout the supply chain. Little research has explored innovative product solutions. This paper examines gleaning to reduce farm waste and proposes a resource-based Gleaning Innovation Framework which can lead to differentiated consumer products.

A multi-method approach, including descriptive company reviews, practitioner interviews and consumer surveys, evaluated how different participants in the food supply chain view the farm waste problem and the innovation of products through gleaning.

This research found that practitioners and consumers are cognizant and invested in reducing farm waste, with gleaning as a plausible solution. Future research includes gathering perspectives from retailers and other supply chain members, which may further develop the conceptualization of the gleaning innovation process.

Uniquely, the authors propose the Gleaning Innovation Framework that provides a platform for innovation across the supply chain to reduce farm waste. The research contributes to the farm waste debate with evidence that gleaning can assist the reduction of farm waste through product innovation. Developing innovations to reduce farm waste in sustainable and environmentally friendly ways would not only benefit the supply chain platform but also society.

The purpose of this paper is to adopt a contingency theory from a quality perspective to develop a model for assessing the impact of counterfeit prevention efforts on supply chain (SC) performance.

Based on the participation of 140 managers across ten industry sectors, a theoretical model is proposed and structural equation modeling is used to examine the relationships among SC risk management integration, SC counterfeit risk orientation (CRO), SC counterfeit risk mitigation (CRM), SC metric consistency (MC) and SC performance (service and cost benefits).

Findings suggest that firms with greater SC risk management integration have a stronger orientation toward counterfeit risk, greater maturity in CRM, more consistent SC metrics and better SC performance outcomes. CRO alone was not found to significantly improve SC MC.

Results are based on managerial perceptions of SC counterfeit risk and performance metrics. Survey respondents were predominantly from the same country (the USA).

The paper represents a potential quality management framework for SC risk management, in the context of counterfeiting that includes a contingency perspective.

The study advances knowledge of how firms may address the challenging issue of counterfeiting in the SC. Empirical findings offer a firm-level quality management framework for managerial decision making in the context of counterfeiting.

This paper aims to examine how the efficacy of organizational routines varies and the mechanism through which organizational routines improve firm performance.

A theoretical model is proposed and tested using data from 53 interviews with financial services experts and 291 survey responses from financial advisors.

Operational and adaptive routines work through absorptive capacity to positively contribute to firm performance. The positive effects of adaptive routines are magnified under market governance.

The examination of organizational routines is focused on routines at the firm level. Therefore, higher corporate-level routines were not measured. Response rate for the survey is a possible concern, so future research will benefit from increasing the response rate from the focal population.

This study benefits firms facing the dual role of customization and discipline in working with clients toward service delivery. The findings suggest that firms should develop both operational and adaptive routines, particularly when operating under market governance.

This study identified two categories of routines (operational and adaptive) and the circumstances in which the causal link between routines and performance varies. This study examined the potential moderating influence of a governance mode (market vs hierarchy). Absorptive capacity was identified as a mediator between the use of routines and firm performance.

The purpose of this research is to develop a validated general measure of supply chain risk management maturity (SCRMM) to assess organizational risk management maturity in the context of the supply chain (SC).

Dimensions and statements measuring SCRMM were developed through a literature review and consultation with experts. The instrument was refined through a pilot study and a full-scale study of 140 SC managers in the USA. A final SCRMM instrument, consisting of 25 statements, was obtained through scale purification, exploratory factor analysis, reliability analysis, and confirmatory factor analysis of construct validity. Cluster analysis was conducted to characterize the organizational groupings with respect to the instrument dimensions.

SCRMM was found to be comprised of the three main dimensions of SC Risk Management Orientation, Enterprise Risk Management Integration (ERMI), and SC Risk Collaboration. ERMI was found to be comprised of the three sub-dimensions of SC Risk Mitigation, Improvement of Risk Management Processes, and Organization Internal Risk Management. Cluster analysis revealed three groups characterized according to SCRMM as leaders, followers, and laggards.

The findings are based on a sample in the USA, so the SCRMM scale may not generalize to supply chains in other countries or geographic regions.

The instrument provides a self-assessment and benchmark tool for businesses to advance their SC risk management through different stages of maturity.

This is a pioneering general instrument that treats risk management maturity of the organization in the context of the SC. Participants span many industries and SC positions.

Business schools are tasked with matching curriculum to techniques that industry practitioners rely on for profitability. Forecasting is a significant part of what many firms use to try to predict budgets and to provide guidance as to the direction the business is headed. This chapter focuses on forecasting and how well business schools match the requirements of industry professionals. Considering its importance to achieving successful business outcomes, forecasting is increasingly becoming a more complex endeavor. Firms must be able to forecast accurately to gain an understanding of the direction the business is taking and to prevent potential setbacks before they occur. Our results suggest that, although techniques vary, in large part business schools are introducing students to the forecasting tools that graduates will need to be successful in an industry setting. The balance of our chapter explores the forecasting tools used by business schools and firms, and the challenge of aligning the software learning curve between business school curriculum and industry expectations.

This study aims to propose a framework for identifying and measuring the gaps between evaluation and goal setting in service supply chain (SSC) processes towards planning and development of sustainable tourism aligned with the firm's real conditions and capabilities.

By the concept of the service quality gap model, the existing gaps between auditors' evaluation and the managers' goals in SSC processes maturity were examined. Then, each of the designed gaps was measured considering the goals addressed by managers’ and auditors' evaluation. Finally, the strategy and priority of sustainable tourism planning and development were determined based on importance–performance analysis (IPA).

The gaps caused by the expectations and perceptions of the firm about the dissatisfaction of managers regarding their addressed goals and the evaluation of auditors in the planning and development of sustainable tourism can be classified into three categories of goals gap, assessment gap and main gap. To improve the performance of the firm in each of the evaluation criteria under the results of IPA analysis, solutions were provided.

Realistic evaluation and recognition of the capabilities of the organization's processes through the proposed framework can be effective in goal setting and sustainable tourism development policies.

The framework proposed in this study can be a suitable approach for the balanced growth of all aspects of the firm in planning and developing sustainable tourism and helps firms in setting the right and logical goals.