Measuring retail supply chain performance: Theoretical model using key performance indicators (KPIs)

Developing customer convenience and experience through increased competency and efficiency: A strategic approach to retail operations mastery

Retailers who are part of supply chains are crucial in attracting customers to physically visit their stores and thereby increase supply chain revenue. Retailers in supply chains are responsible for handling a high volume of transactions and high customer contact, thus better management of retail operations is necessary to provide greater convenience and experience for customers. In this regard, retail operations must be properly managed, particularly during times of crisis like COVID-19, to ensure that customers purchase their basic needs promptly and safely. Since customer contact is high, the retail operations can have a greater say in improving the customer convenience and experience but this perspective has not been specifically emphasized both in research and practice. Thus, the current study attempted to evaluate how well retail operations can improve customer convenience and experience so that retailers can do well even during times of uncertainty. The study, which is grounded in the resource-based view theory, thus looks at how well retailers' competency and efficiency in running the operations help in achieving better customer convenience and experience. In this regard, sample data from 416 practitioners belonging to the Indian retail industry has been selected to examine the mediating role of retailers' efficiency to retailers' competence in achieving better customer convenience and experience. This study importantly confirms that while more competence can help retailers operate more efficiently, it cannot, by itself, provide customers with greater convenience or a better shopping experience. This study found that retailers concentrate on streamlining their operations in order to overcome capacity limits because it is expensive and limited. The empirical evidence shows that retail operations have significance say in offering better convenience and experience customers.

Assessing the Disruption Impact on Healthcare Delivery

Health emergency outbreaks such as the COVID-19 pandemic make it challenging for healthcare systems to ration medical resources and patient care. Such disastrous events have been increasing over the past years and are becoming inevitable, necessitating the need for healthcare to be well-prepared and resilient to unpredictable rises in demand. Quantitative and qualitative based decision support systems increase the effectiveness of planning, alleviating uncertainties associated with the crisis. This study aims to understand how the COVID-19 pandemic has affected the performance of healthcare systems in different areas and to address the associated disruption. A cross-sectional online survey was conducted in the Kingdom of Saudi Arabia and the United Arab Emirates among healthcare workers who worked during the pandemic. The pandemic-related disruption and its psychometric properties were assessed using Structural Equations Modeling (SEM) with 5 latent factors: Staff Mental Health, Communication Level, Planning and Readiness, Healthcare Supply Chain, and Telehealth. Responses from highly qualified participants with many years of experience in hospital settings were collected and analyzed. Results show that the model satisfactorily fits the data with a CLI of 0.91 and TLI of 0.88. The model indicates that enhancing supply chain management, planning, telehealth usage, and communication level across the healthcare system can mitigate the disruption. However, the lack of mental health management for healthcare workers can significantly disrupt the quality of delivered care. Staff mental health and healthcare supply chain, respectively, are the highest contributors to varying degrees of disruption in healthcare delivery. This study provides a direction for more research focusing on determinants of healthcare efficiency. It also provides decision-makers insights into the main factors leading to disruptions in healthcare systems, allowing them to shape their outbreak response and better prepare for future health emergencies.

Industry 4.0 impacts on operational and green innovation performances with the mediation of green practices

Purpose

The aim of this study is to investigate how green supply chain management (GSCM) practices mediate the effect of Industry 4.0 technologies on operational and green innovation performances.

Design/methodology/approach

To explore the study, data were collected from 225 different manufacturing industries in Pakistan. Gathered data were used to test the hypotheses using SmartPLS 3 software by using structural equation modeling.

Findings

The findings reveal that operational and green innovation performances are directly affected by the adoption of Industry 4.0 technologies and GSCM practices. Furthermore, the GSCM practices positively affect operational and green innovation performances. The study also investigated that the GSCM practices partially mediate the effect of Industry 4.0 on operational and green innovation performances.

Research limitations/implications

This study has some limitations, the data of this study were majorly collected from large enterprises of Pakistani firms and related to the manufacturing sector only. So, there is a huge need for attention toward small and medium-sized enterprises (SMEs). Very few researchers are focusing on SMEs, so future research can be on SMEs. It can be suggested that the relationship between digital technologies and green innovation performance can be tested through a quantitative procedure. Moreover, the effect of GSCM's aspects can be estimated on manageable execution.

Originality/value

Through the mediating relationship of GSCM practices, this research has made a unique contribution by investigating the influence of Industry 4.0 on operational and green innovation performances. To the author's knowledge, no research has been undertaken in this area.

Towards measuring SMEs performance amid the COVID-19 outbreak: exploring the impact of integrated supply chain drivers

Purpose

This study aims to explore supply chain disruptions during the COVID-19 pandemic in the small and medium enterprise (SME) sector in Oman. This study analyzes the impact on selected supply chain drivers – facilities, inventory, transportation and sourcing. It further intends to explore whether the supply chain challenges faced by the SME sector in Oman impact their overall performance.

Design/methodology/approach

This study follows the quantitative technique of structural equation modeling to examine the proposed hypotheses. Data were collected electronically from SME managers/owners/entrepreneurs. All items were adopted and measured using a five-point Likert scale. One hundred and four complete and usable responses were received and considered.

Findings

The data was analyzed using SPSS and PLS statistical software. The model has been supported empirically, and the results showed a significant relationship between supply chain drivers and SMEs’ overall performance in Oman, except for supply chain inventory. The results have demonstrated that the COVID-19 pandemic has affected the SMEs’ supply chain drivers in Oman and, consequently, their overall performance.

Practical implications

The results of this research can drive the development and implementation of a supply chain management strategy. This research will help policymakers induce the performance of SMEs affected by the COVID-19 pandemic. It would further enhance strategic sourcing and supplier performance considering the developed practices associated with the resource-based view.

Originality/value

The originality of the current study lies in its ability to empirically test two models within the Omani SMEs context while considering the supply chain drivers as a single variable or dividing it into four separate independent variables. This study would provide a preview for scholars for such empirical investigation and serve as a reference for policymakers and practitioners to maintain a management system of crises that may protect the SME supply chain drivers.

Direct and mediation effect of supply chain complexity drivers on supply chain performance: an empirical evidence of organizational complexity theory

Purpose

In today's globalized business environment, growing supply chain complexity (SCC) is arguably a major threat to the firm's business continuity with an adverse impact on the firm's competitive advantage and business performance. Researchers, though, investigated the impact of SCC drivers on a firm's operational performance, but the key question “Which supply chain complexity drivers severely impact the supply chain performance (SCP)?” remains largely unanswered from empirical research. The present study aims to decompose the SCC into four major constituting sub-categories (upstream, operational, downstream and external) to explore the causal impact of SCC drivers on SCP in direct and mediated manner.

Design/methodology/approach

The indicators applied for measuring constructs in the “Measurement model” are obtained from existing literature to increase the validity and reliability of the model. First, a pilot survey involving 25 SC managers from various manufacturing firms was conducted for indicator refinement and content validation. Second, the large-scale response data were collected through extensive surveys. This research explores the causality by testing the hypothesis applying Structural Equation Modeling (SEM) based on the responses received from 246 firms.

Findings

The study investigates the impact of SCC drivers on SCP through direct and mediation effect. The results indicate that upstream and operational SCC drivers play a mediating role in managing SCP. The findings reveal that upstream and operational SCC drivers adversely impact the SCP. Furthermore, the impact of downstream complexity on SCP is moderated through operational complexity drivers. The result explains the theoretical relation among SCC drivers supported by empirical validity.

Practical implications

The outcome offers practical relevance to supply chain (SC) managers in SCC and SCP management. Knowing the effect of SCC drivers among themselves and on SCP will facilitate the SC managers in devising the right strategies. The study provides a framework for prioritizing the resource in addressing the SCC issues among many.

Originality/value

The study addresses the apparent gap in the literature by modeling the impact of SCC drivers on SCP, which remained largely unexplored. First, it contributes to developing complex relationships among SCC drivers. Second, the direct and mediated causal effect of the SCC drivers individually and combinedly on SCP are explicated.

A framework for facilities management supply chain performance evaluation: case study of hotel buildings

Purpose

The performance of the facilities management supply chain (FMSC) in the hotel sector is challenged by the diverse nature of parties involved, their relationships and the flows of services and products. Although performance measurement systems have been endorsed by researchers worldwide as a mechanism to evaluate and improve performance, there seems lack of mechanisms to evaluate the FMSC performance in hotels. Hence, this paper aims to develop a framework that would enable to evaluate FMSC performance in hotels.

Design/methodology/approach

A case study strategy was used, where 3 five-star hotels in Sri Lanka were studied for the purpose. The data was collected through semi-structured interviews conducted with 21 professionals involved in FMSC and through document reviews. A content analysis was performed and the framework was developed. This was validated with 3 subject matter experts in the field.

Findings

The study findings revealed that the FMSC process is different from manufacturing and service supply chain (SC) processes as it comprises both product and service elements and incorporates internal, as well as external customers. The developed FMSC process comprises seven sub-processes as follows: delivery of products, delivery of services, sourcing, make/fulfil, delivery of FM services and products, receipt of FM services and receipt of products by customers. Based on the derived FMSC process and the key activities, 38 key performance indicators were developed and used in the framework to evaluate the performance of FMSC.

Originality/value

The developed performance evaluation framework is expected to facilitate performance measurement of the SC and enhance its performance. Further, it would enhance cooperation among FMSC partners and assist in achieving FMSC excellence.

Competitive strategy selection in retail E-Commerce using IF AHP & TOPSIS methodology

Retail e-commerce has been growing over the years by attracting entrepreneurs’ attention. Increasing interest in retail e-commerce has affected competition and made it necessary to choose the right competition strategy. This study aims at selecting the right competition strategy to be successful in retail e-commerce under vague and imprecise conditions. AHP and TOPSIS methods are used under intuitionistic fuzzy environment, which allows decision-makers to reflect their hesitation in their judgements. After a literature review on retail, e-commerce, and competition strategy, the main criteria and sub-criteria of multicriteria retail e-commerce alternative selection are presented. Cost leadership, differentiation, and focusing strategies are evaluated as competitive strategies, based on the opinions of experts collected through a questionnaire. The results of the study show that the strategies are ranked as differentiation, focus, and cost leadership strategies, respectively.

Sustainability assessment with structural equation modeling in fresh food supply chain management

The aim of this study is to determine the dimensions that affect the sustainability performance of the fresh vegetable and fruit supply chain and to determine the performance that occurs along the chain line. In this study conducted for the fresh fruit and vegetable sector, it is desirable to measure each dimension by finding the performance indices of sustainable supply chain management. Dimensions of this study include supply chain management, resource management, food safety, packaging, and waste management. For these five dimensions gathered from the literature and expert opinions, 26 sub-criteria are determined for use in performance evaluation. Structural equation modeling (SEM) and analytical hierarchy process (AHP) methods are used together to calculate the performance index of each dimension and then to obtain a final fresh vegetable and fruit supply chain performance score. This study has been performed in Turkey. Turkey, between the countries of the world, is located in the top 5 in the fruit and vegetable production. The performance of the five different dimensions is calculated. In this performance assessment, supply chain management dimension is calculated as the highest performance with a score of 91.22%. The lowest performance index score as 66.77% is the waste management dimension. The final sustainable fresh fruit and vegetable supply chain performance score is calculated as 79.96%. In addition to the limited performance evaluation studies in the sustainable supply chain, the fact that this study deals with the food chain, modeling and creating a final performance demonstrates the innovative aspect of the study. Attention is also drawn to the parameters that need to be addressed for more sustainable food.

Towards a strategic innovation framework to support supply chain performance

Purpose

This paper aims to determine how a strategic innovation framework that integrates the concepts of innovation function, dynamic performance management (DPM) and system-dynamics (SD) modelling can measure performance in a supply chain (SC).

Design/methodology/approach

The paper provides a strategic innovation framework for an SC by considering three steps. First, a systemic intervention is presented based on the innovation functions that influence SC performance. Second, an analysis of the system's performance is proposed. Third, a model SD-based simulation is designed. The developed framework is explained by employing a case study of the Colombian pig sector SC.

Findings

The results reveal that identifying and synchronising the system's performance drivers associated with the innovation functions could improve the inventory in the SC.

Practical implications

On the one hand, managers can use the proposed framework to evaluate the innovation investments and understand their impact on operation performance (e.g. on inventories). On the other hand, policymakers may support decision-making to improve policy design (e.g. through investment in R&D).

Originality/value

Few studies discuss the impacts of innovation functions on SC performance. This paper aims to fill this theoretical gap and to contribute to the literature by suggesting a novel framework which includes innovation functions.

Supply chain efficiency framework to improve business performance in a competitive era

Purpose

The main aim of this paper is to develop a supply chain efficiency framework to improve overall business performance in the competitive era. This paper offers a critical literature review on supply chain efficiency that aims to reveal the basic research that has been carried out, the problem areas and requirements for the efficiency in the new era of the supply chain.

Design/methodology/approach

The methodology followed during this research involves beginning with a wide base of articles lying at the supply chain intersection, performance measurement topics, and then screening the list to concentrate on supply chain efficiency.

Findings

Findings show that supply chain efficiency in the modern era remains an open research field. This research contributes to the supply chain literature by clarifying the supply chain efficiency definition, defining key measurements and variables for supply chain efficiency and developing a supply chain efficiency framework to improve overall performance.

Practical implications

This study will be very useful to the scholars working in this field. The proposed framework would help researchers and academicians to understand every dimension and variable of supply chain efficiency, allowing practitioners to measure efficiency levels and identify improvement measures. This framework would also act as a comprehensive guide for future studies and business practices.

Originality/value

As there are several state-of-the-art review papers on various supply chain areas, there is a lack of literature available on supply chain efficiency studies that can provide a comprehensive framework for researchers on related literature. Thus, the present study seeks to bridge this gap in the supply chain literature. Also, this study will provide a strong basis for researchers and academicians to apply the supply chain efficiency measurement system to the dynamic supply chain.

Exploring the consequences of judgmental and quantitative forecasting on firms' competitive performance in supply chains

Purpose

The purpose of this study is to examine the impacts of different forecasting methods (judgmental, quantitative and mixed forecasting) on firms' supply chains and competitive performance.

Design/methodology/approach

Working with three groups of manufacturing companies, we explore the consequences of judgmental, quantitative and mixed forecasting methods on firms' competitive performance in supply chains. The validity of constructs and path relationships was examined using structural equation modeling (SEM).

Findings

Our findings indicate that supply chain efficiency influences both cost reduction and customer satisfaction. In addition, the three dimensions of supply chain performance are shown to be direct antecedents of competitive performance. Our empirical results reveal that although all studied forecasting methods meaningfully influence supply chain performance, the mixed method, compared to the other two methods, has greater capabilities to enhance supply chain performance.

Originality/value

This research provides originality and insight into supply chain practices through forecasting methods to improve competitive performance.

Integrating KPIs for improving efficiency in road transport

Purpose

The purpose of this paper is to propose and validate a framework for improving efficiency in road transport based on key performance indicators (KPIs) and personnel participation. The use of the “Overall Equipment Effectiveness” (OEE) indicator is widespread in factories. The framework adapts OEE to transport management.

Design/methodology/approach

Research was divided into two phases. The first phase included development of a participative framework, which was based on the authors’ experience and a literature review related to transport KPIs. The second phase involved the validation of the framework, adopting an “Action Research” approach by leading its implementation in a Spanish retailer.

Findings

Implementation of the framework has promoted more efficient transport in the company. The framework could be extrapolated to other companies, particularly, transport and parcel companies. By applying the “Action Research” approach it has been shown that researchers and practitioners can create knowledge by resolving problems that are of interest to both parties.

Research limitations/implications

The framework has been applied in one company and could achieve broader validation. Additionally, integrating only indicators of transport efficiency into the OEE proposal has meant that other perspectives, such as costs or the environment, have not been dealt with directly.

Originality/value

The framework is a new line of research applied to transport management. The academic and business contributions fall into three areas: transport management, organizational change and the methodology. There are few examples that illustrate “Action Research” adoption within the scope of supply chain management.

Supply chain practices and performance: the indirect effects of supply chain integration

Purpose

– The purpose of this paper is to employ a newly developed framework to examine the complex relationship between different components of supply chain practices, supply chain integration (SCI) and supply chain performance (SCP) in the Malaysian electronics sector.

Design/methodology/approach

– This study utilizes survey data of 156 electronics firms in Malaysia and tested the research framework and hypotheses. In addition to the traditional approach of Barron and Kenny (1986), the Sobel test as well as a bootstrapping approach, which is deemed for small sample size, is used to formally test the indirect effects of SCI in the model.

Findings

– SCI has fully and partially mediated the relationship between supply chain management practices (SCMPs) and SCP. SCI fully mediates the relationship between SCP and three of the SCMPs, namely, information quality, agreed vision and goals and postponement strategies. The relationship of supply strategic partnership, customer relation management, information sharing with SCP were partially mediated by SCI. Risk and reward sharing is found to be non-significant. These insights allow managers to effectively utilize the different components of SCMPs for SCI and performance.

Practical implications

– For supply chain practitioners, the results of the study can be useful in integrating SCMPs and SCI on improving SCP. Practitioners should take into account the mediating effect of SCI in designing their supply chain management approach to production.

Originality/value

– To the authors’ best knowledge, this paper is one of the first to address the mediating effect of SCI between SCMPs and overall performance of the supply chain.