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The purpose of this paper is to explore the impact of eight dimensions of green supply chain management (GSCM) on economic, environmental and social performance, which are the three dimensions of corporate sustainability. The eight dimensions covered in this study are: green purchasing, green manufacturing, green distribution, green packaging, green marketing, environmental education, internal environmental management and investment recovery.

The relationships between dimensions of GSCM and sustainability performance are tested by using a plant-level survey. A proposed research model and hypotheses are tested by using cross-sectional face-to-face and e-mail survey data collected from manufacturing firms in Turkey. Structural equation modeling is used to test the proposed hypotheses.

Except for green purchasing, all GSCM dimensions are found to be related with at least one of the performance dimensions.

The results are important in highlighting the importance of GSCM in improving sustainability performance.

This paper enhances the understanding of the relationship between different dimensions of GSCM and the three sustainability performance factors. While there are very few studies examining the relationship between GSCM and corporate sustainability, this study is important in terms of exploring the effects of dimensions of GSCM applications on economic, environmental and social performance one by one, by examining these applications in the form of eight dimensions.

This paper aims to analyze value co-creation (VCC) in new product development from consumer’s perspective. It offers a holistic approach to consumers’ VCC behavior with its before (drivers) and after (consequences) stages.

Three consecutive studies are carried out to test the hypotheses examining the antecedents and results of co-creation behavior, as well as the behavior itself in a new headphones design context. The experimental data have been collected from 934 university students within a period of six months.

Findings suggest that extraversion and openness to experience increase consumers’ willingness to participate in VCC. Celebrity endorsers and product category involvement also affect this tendency. When consumers display co-creation behavior, they intend to purchase the product to be co-created. However, they are especially keen to buy this co-created product when their contributions are embodied in it.

Previous studies focus on intentions, lacking a detailed analysis of actual VCC behavior. By shedding light on co-creation behavior with its before and after stages, this paper contributes to co-creation literature with a field experiment. Consumers’ co-creation behavior has been observed in the context of new product development, which is mostly occupied by business to business research. Therefore, the results also add to research on new product development in business to consumer contexts.

In spite of its potential benefits in a wide range of situations, supply chain risk mitigation strategies have received scant attention on the subject of managing the supply chain risk in the business environment. Especially, there is still a limited understanding of the importance of firms’ supply chain flexibility, resilience and responsiveness in the supply chain risk management (SCRM) literature. This research focuses on exploring the relationship between significant proactive risk mitigation strategies, namely supply chain (SC) flexibility, resilience and responsiveness, as well as SCRM performance to facilitate bridging the gap between mitigation strategies and SCRM performance. The moderating role of risk management (RM) culture was also hypothesized and tested.

A survey-based methodology is adopted. The data are analyzed using the technique of partial least squares.

The results indicate that SC resilience and responsiveness are positively associated with SCRM performance; however, SC flexibility does not. In addition, interestingly, RM culture does not moderate these relationships in spite of the extant literature. We argue that this could be due to the fact that risk management culture is at the beginning stage for an enterprise in Turkey.

This study extends the existing literature by advancing the knowledge on the relationship between proactive risk management strategies, which applied to overcome uncertainties and SCRM performance.

This study aims to explore and segment consumer preferences for electric and hybrid vehicles in Germany, Sweden, the Netherlands and Turkey, focusing on understanding the various factors that influence consumer decisions in these markets.

Using latent class analysis (LCA) on data collected through online surveys and discrete choice experiments, this research categorizes consumers into distinct segments. The approach allows for a nuanced understanding of how various factors such as income level, fuel cost, age, CO₂ emissions, purchase price, vehicle range, policy policies and environmental concerns interact with shape consumer preferences.

The analysis uncovers significant heterogeneity in consumer preferences for electric and hybrid vehicles across Germany, Sweden, the Netherlands and Turkey, revealing four key segments: “Eco-Driven Innovators,” “Value-Focused Pragmatists,” “Tech-Savvy Early Adopters” and “Reluctant Traditionalists.” “Eco-Driven Innovators” prioritize environmental benefits and are less sensitive to price, demonstrating a strong inclination toward vehicle CO₂ emissions and policy policies. “Value-Focused Pragmatists” weigh economic factors heavily, showing a sharp interest in fuel costs and purchase prices but are open to considering electric and hybrid vehicles if they present clear long-term savings. Technology-savvy early adopters are attracted by the latest technological advancements in vehicles, regardless of the type, and are motivated by factors beyond just environmental concerns or cost savings. Lastly, “Reluctant Traditionalists” exhibit minimal interest in electric and hybrid vehicles due to concerns over charging infrastructure and upfront costs. This detailed segmentation illustrates the diverse motivations and barriers influencing consumer choices, from governmental policies and environmental concerns to individual financial considerations and technological appeal.

This study stands out for its pioneering application of LCA to dissect the complexity of consumer preferences for electric and hybrid vehicles, a methodological approach not widely used in this research domain. Using LCA, the authors are able to uncover nuanced consumer segments, each with distinct preferences and motivations, providing a depth of insight into market dynamics that traditional analysis methods may overlook. This approach enables a more granular understanding of how diverse factors – ranging from environmental concerns to economic considerations and technological attributes – interact to shape consumer choices in different countries. The findings not only fill a critical gap in the existing literature by mapping the intricate landscape of consumer preferences, but also offer a novel perspective on strategizing market interventions. Therefore, the application of LCA enriches the discourse on sustainable transportation, offering stakeholders, manufacturers, policymakers and researchers – a refined toolkit for navigating the evolving market dynamics and fostering the adoption of electric and hybrid vehicles.

With the increasing use of social media in operation and supply chain management (OSCM), it is of great importance for managers to consider risks in advance and take precautions against the risks that might arise from social media usage among supply chain members. The aim of this research is to identify and evaluate the risks related to the use of social media in OSCM.

An initial research of the literature revealed that there is no detailed risk categorization in this area. Current taxonomies on the business risks of social media usage were examined and integrated with classifications identified in a Delphi study. The authors empirically demonstrate how the determined risks are prioritized and how decision-makers may decide to manage risks effectively based on the analytical hierarchy process (AHP) method.

The findings of the research showed that reputation-associated risks such as criticism, language and loss of confidence should be prioritized over human, content and technical-associated risks.

To date, a comprehensive approach to determine risks arising from using social media in OSCM is missing. With the Delphi and AHP techniques, the authors provide a novel insight for managers to mitigate risks. The outcomes of this study may assist executives in achieving successful management of social media usage in OSCM. Besides, the proposed AHP model may provide guidelines and direction in this regard.

The aim of this conceptual study is to analyze the effects of state-of-the-art research streams on supply chain risk management (SCRM) based on organizational theoretical background and direct future research toward the use of other related organizational theories. This paper seeks to provide a framework for understanding various organizational theories that can impact the understanding of SCRM.

A systematic literature review on articles published from 1998 to 2020 was conducted manually in the following databases: Emerald, Science Direct, Taylor & Francis Online, and Wiley online library. Among these articles, the paper by Smeltzer and Siferd (1998) is the first article published on the topic. Therefore, that serves as a starting point for the papers' analysis. A total of 109 articles have been selected and reviewed in detail.

The results of the study indicate that the articles which utilize theories in SCRM research have been mostly published in the last three years. The quantitative and case studies have been prevalently applied methods in the articles. In total, 34 theories are listed from the investigated articles. The four commonly studied theories among these are the information processing theory, transaction cost theory, contingency theory, and resource-based view.

This paper is the pioneer in the sense that the paper specifically and directly reviews the SCRM literature in terms of organizational theory usage. For future research, this study offers a diffusion of innovation (DOI) theory that explains the factors which can affect the adoption or diffusion of SCRM practices.

The purpose of this paper is to examine the effect of triple-A supply chain and marketing strategy alignment on the performance by collecting and analyzing data from the textile industry in Egypt.

A research model is proposed which describes the impact marketing strategy alignment, triple-A supply chain on supply chain performance and organizational performance. The proposed research model and hypotheses were tested using correlation analysis and structural equation modeling based on data collected from 153 companies working in the Egyptian textile industry.

The results of the study support that organizational performance is positively associated supply chain performance. Also supply chain performance is directly affected by triple-A supply chain and marketing strategy alignment.

The data used in this study were collected from 153 companies working in the Egyptian textile industry. The generalization of the study results may be limited by the size of the sample.

This study provides a useful working model in the textile industry. The results suggest successful implementation of triple-A supply chain and marketing strategy alignment will help in improving the supply chain performance, which in turn improves organizational performance.

This paper aims to compare two diagnostic performance measures, i.e. signal‐to‐noise ratio (S/N ratio) and partial area under receiver operating characteristic curves (pAUC). It proposes the use of S/N ratio rather than pAUC for establishing optimal cut‐off point for diagnostic biomarkers.

This paper discusses the properties, uses, advantages and shortcomings of the two performance measures, namely the partial area under receiver operating characteristic curve (pAUC) and Taguchi's signal‐to‐noise (S/N) ratio. The benefits of S/N ratio have been illustrated in a sample of four biomarkers, each having five cut‐off points. The S/N ratio is compared to the pAUC index. The SAS software is employed to calculate pAUC and AUC.

This paper shows that S/N ratio can be used as a measure of diagnostic accuracy. The cut‐off point with the highest S/N ratio is the optimal cut‐off point for the biomarker. The proposed method has the advantages of being easier, more practical and less costly than that of pAUC.

This paper includes implications for the development of a more practical, equally powerful and less costly means of measuring clinical accuracy thereby reducing the costs and risks resulting from wrong selection of cut‐off point can be decreased.

This paper supports suggestions in the recent literature to replace pAUC with a new, more meaningful index.

The aim of this paper is to propose a new, objective and consistent method for the calculation of the diagnostic efficiency in medical applications.

In this study, a hybrid method of Taguchi and DEA is proposed. This method reflects the diversity of inputs and outputs by incorporating the stepwise application of sensitivity, specificity, leveling threshold, and efficiency score. A hypothetical case study is given which involves eight readers of X‐ray films in clinical radiology.

The selected pairs of sensitivity and specificity yielded two efficient readers. After super efficiency analysis, Reader 6 is found to be the most efficient reader.

The paper presents a new, objective and consistent method for the calculation of the diagnostic efficiency in medical applications.

This study explores the individual and joint effects of operations, marketing, and logistics functions on the level of business performance. The main purpose is to test whether the business performance achieved when logistics function is in complete coordination with operations and marketing functions is superior to the performance when the functions operate in a less coordinated manner.

Study hypotheses regarding the links between coordinated and non‐coordinated performances and overall business performance are evaluated through a survey of automobile manufacturers in northwest Turkey. Separate regression analyses are conducted to test the hypotheses.

It is shown that overall business performance achieved when there exists an effective coordination between the functions can be well above the performance achieved when the tasks are performed individually. Specifically, results from regression analyses performed to test the validations of study hypotheses indicate two important implications: coordination between operations and logistics functions in the specific sample is the most prominent issue for achievement of high performance; and logistics function carries an important role in linking the two most important functions of a company namely, operations and marketing.

This study adds some value to the current literature such that it empirically shows the links between coordinated and non‐coordinated functional performances and overall business performance, and eventually raises the importance of logistics function in a manufacturing‐oriented business environment.