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The purpose of this paper is to investigate the relationship between green initiatives, green performance, and a firm’s financial performance in the world. The existing literature on environmental initiatives and their impacts is limited to the context of a particular country. This gap points to a lack of clarification of variations in environmental regulation and in economic disparity which may affect the impact of green initiatives on green performance and on financial performance.

Data on the world top 500 publicly traded companies are collected from Compustat, a database of financial, statistical and market information on global companies, and from Newsweek, an information gatekeeper that enables consumers to access a list of environmentally friendly companies. The paper adopts linear regression to test the relationships between variables.

The results show that green initiatives have a positive impact on green performance, which in turn has a positive impact on financial performance. However, the impact of green initiatives varies by country. The study revealed that companies in European countries and Canada lead in the green initiatives and green performance, followed by the USA and Japan. China and Hong Kong lag behind compared to other countries.

The small sample size in some of the countries used in this study may impact the validity of the results.

This study suggests that companies that seek financial benefits of pursuing green initiatives should have a long-term orientation when implementing these initiatives and should consider the country where they operate.

The current study provides a global understanding of the relationship between green initiatives, green performance, and financial performance, and contributes to the literature by highlighting variation among countries and by year.

The purpose of this paper is to investigate the barriers and motivations for adopting radio frequency identification (RFID), the level of RFID implementation, the processes RFID is utilized in, and issues in the deployment of RFID.

A survey instrument was developed based on a literature review. The survey was then distributed to the members of the Association for Operations Management Rhode Island and Boston chapters. The results were then analyzed.

It was found that the majority of the surveyed firms are not considering RFID implementation. Lack of a business case and lack of understanding were cited as their main concerns. For firms considering RFID implementation and firms that had implemented RFID, better inventory management, obtaining competitive advantage, and cost reduction were the three most important motivations for adopting RFID. Financial concerns and the lack of a business case were the most prevalent issues. In addition, product tracking (pallets, cases, and items) in shipping was the most cited RFID application. It was also found that considering firms are facing less pressure from customers to adopt RFID and reported a much higher degree of apprehension regarding potential issues than implementing firms reported for actual difficulties faced.

One of the limitations is the small sample size (n = 49) which may limit the generalizability of the results.

By identifying barriers, motivations, and issues in the implementation of RFID, this study further educates practitioners on the challenges and opportunities of RFID, as well as providing direction to academicians for further research on this area.

The purpose of this paper is to investigate the actual benefits of radio frequency identification (RFID) on supply chain performance through the empirical evidence.

The research reviews and classifies the existing quantitative empirical evidence of RFID on supply chain performance. The evidence is classified by process (operational or managerial) and for each process by effect (automational, informational, and transformational).

The empirical evidence shows that the major effects from the implementation of RFID are automational effects on operational processes followed by informational effects on managerial processes. The RFID implementation has not reached transformational level on either operational or managerial processes. RFID has an automational effect on operational processes through inventory control and efficiency improvements. An informational effect for managerial processes is observed for improved decision quality, production control and the effectiveness of retail sales and promotions coordination. In addition, a three‐stage model is proposed to explain the effects of RFID on the supply chain.

Limitations of this research include the use of secondary sources and the lack of consistency in performance measure definitions. Future research could focus on detailed case studies that investigate cross‐functional applications across the organization and the supply chain.

For managers, the empirical evidence presented can help them identify implementation areas where RFID can have the greatest impact. The data can be used to build the business case for RFID and therefore better estimate ROI and the payback period.

This research fills a void in the literature by providing practitioners and researchers with a better understanding of the quantitative benefits of RFID in the supply chain.

The purpose of this paper is to discuss the technology behind RFID systems, identify the applications of RFID in various industries, and discuss the technical challenges of RFID implementation and the corresponding strategies to overcome those challenges.

Comprehensive literature review and integration of the findings from literature.

Technical challenges of RFID implementation include tag cost, standards, tag and reader selection, data management, systems integration and security. The corresponding solution is suggested for each challenge.

A survey type research is needed to validate the results.

This research offers useful technical guidance for companies which plan to implement RFID and we expect it to provide the motivation for much future research in this area.

As the infancy of RFID applications, few researches have existed to address the technical issues of RFID implementation. Our research filled this gap.

The purpose of this paper is to contribute to the existing knowledge system of lean supply chain management (LSCM), i.e. by using main path analysis, and the authors extract the main development track of LSCM. It is advantageous for relevant scholars to deepen their understanding of this academic field from a bibliometrics view to grasp the future directions better.

Structuring a citation network with the processed data set containing 866 papers and relevant information collected from Web of Science (WoS). Conducting review analyses aiming at the main paths that are extracted from the above citation network.

There are two different evolution paths in LSCM field, i.e. improving corporate sustainability performance through combining lean and green practices, and seeking the balance between lean and agility to structure leagile supply chain for specific industries. LSCM research studies mainly focus on five aspects: (1) establishment and development of LSCM theory; (2) structuration of lean supply chain; (3) research studies of the relationship between LSCM and corporate performance; (4) supply chain evaluation system; and (5) review and vista of LSCM field. The intersection of two knowledge evolute routes would be Industry 4.0, which is an integrated theory system combining lean, agility, green and other supply chain thinking.

The data set collected from WoS cannot contain all the research studies about LSCM is the main research limitation. Sustainability, as represented by environmental performance, will continue to be a major pursuit of this field. Integrating LSCM in Industry 4.0 will be the next hotspot in LSCM field.

Providing the main research contents and common methods of LSCM field. It is conducive to deepening the understanding of relevant practitioners and scholars to LSCM field from a dynamic perspective.

To the best of the authors’ knowledge, it is the first time to reveal the knowledge diffuse trajectories of LSCM under different view with main path analysis. This study is unique that it provides a new view to understand the field of LSCM.

Reverse supply chain (RSC) is an extension of the traditional supply chain (TSC) motivated by environmental requirements and economic incentives. TSC management deals with planning, executing, monitoring, and controlling a collection of organizations, activities, resources, people, technology, and information as the materials and products move from manufacturers to the consumers. Except for a short warranty period, TSC excludes most of the responsibilities toward the product beyond the point of sale. However, because of growing environmental awareness and regulations (e.g. product stewardship statute), TSC alone is no longer an adequate industrial practice. New regulations and public awareness have forced manufacturers to take responsibilities of products when they reach their end of lives. This has necessitated the creation of an infrastructure, known as RSC, which includes collection, transportation, and management of end-of-life products (EOLPs). The advantages of implementing RSC include the reduction in the use of virgin resources, the decrease in the materials sent to landfills and the cost savings stemming from the reuse of EOLPs, disassembled components, and recycled materials. TSC and RSC together represent a closed loop of materials flow. The whole system of organizations, activities, resources, people, technology, and information flowing in this closed loop is known as the closed-loop supply chain (CLSC).

In RSC, the management of EOLPs includes cleaning, disassembly, sorting, inspecting, and recovery or disposal. The recovery could take several forms depending on the condition of EOLPs, namely, product recovery (refurbishing, remanufacturing, repairing), component recovery (cannibalization), and material recovery (recycling). However, neither the quality nor the quantity of returning EOLPs is predictable. This unpredictable nature of RSC is what makes its management challenging and necessitates innovative management science solutions to control it.

In this chapter, we address the order-driven component and product recovery (ODCPR) problem for sensor-embedded products (SEPs) in an RSC. SEPs contain sensors and radio-frequency identification tags implanted in them at the time of their production to monitor their critical components throughout their lives. By facilitating data collection during product usage, these embedded sensors enable one to predict product/component failures and estimate the remaining life of components as the products reach their end of lives. In an ODCPR system, EOLPs are either cannibalized or refurbished. Refurbishment activities are carried out to meet the demand for products and may require reusable components. The purpose of cannibalization is to recover a limited number of reusable components for customers and internal use. Internal component demand stems from the component requirements in the refurbishment operation. It is assumed that the customers have specific remaining-life requirements on components and products. Therefore, the problem is to find the optimal subset and sequence of the EOLPs to cannibalize and refurbish so that (1) the remaining-life-based demands are satisfied while making sure that the necessary reusable components are extracted before attempting to refurbish an EOLP and (2) the total system cost is minimized. We show that the problem could be formulated as an integer nonlinear program. We then develop a hybrid genetic algorithm to solve the problem that is shown to provide excellent results. A numerical example is presented to illustrate the methodology.

Successfully implementing and exploiting the right information technologies is critical to maintaining competitiveness in today's supply chain. However, simply adopting off‐the‐shelf technologies may not necessarily induce this competitiveness unless the organization combines these technologies with additional complimentary resources. This study draws on the logistics innovation literature, resource‐advantage theory, and the resource‐based view of the firm with the purpose of investigating performance outcomes of logistics information technology (LIT) adoption and the proposed moderating effect of a complimentary resource. The paper posits that combining LIT with positive buyer‐supplier relationships may set the stage for organizations to achieve competitive advantage.

A meta‐analysis of 48 studies that report outcomes of EDI or RFID adoption was performed. Regression was used to investigate the moderating effect of the buyer‐supplier relationship on the relationship between LIT adoption and performance outcomes.

The findings suggest that adoption of LIT promotes enhanced levels of effectiveness, efficiency, and resiliency for the adopting firm and that the quality of the buyer‐supplier relationship moderates the degree of efficiency and resiliency realized via adoption.

The results of this study suggest that adoption of a logistics innovation by itself may not necessarily produce a sustained competitive advantage. Instead, when combined with complimentary firm resources, the innovation may yield a sustained competitive advantage for the adopting firm.

Logistics innovation needs greater theoretical development in the literature. This research extends a foundational logistics innovation model by incorporating relevant theory to propose and test an additional dimension of the model.

The purpose of this paper is to develop a comprehensive eating screening inventory named the Sensory Processing, Aberrant Mealtime Behaviors, Motor, Inventory for Eating (SAMIE). The SAMIE will accurately screen nutritional risk by identifying the four primary domains that affect eating in children with autism spectrum disorder (ASD).

The development of the questions was executed in three steps. First, a review of the literature was conducted. Second, expert opinion was acquired which was critical in developing the questions. Third, ten think-aloud protocols were set up to simplify the first draft. Prior to the pilot study, four participants were recruited to complete the SAMIE online.

A total of 162 participants completed the online demographic questionnaire and the SAMIE. Overall, participants did not differ between groups for demographic characteristics, BMI status and dietary intake. After conducting a series of statistical tests, results illustrated that the SAMIE is a valid measure to screen nutritional risk in children with ASD.

Due to the complexities of problematic eating behaviors in ASD, there is a need for a comprehensive screening inventory that encompasses the four domains that impact eating in an ASD. These domains have been identified as, namely, aberrant mealtime behavior, eating skills, dietary intake, and sensory processing and have yet to be utilized collectively to screen for nutritional risk in children with ASD.

The SAMIE is a novel eating screening inventory that will standardize the methodology for screening nutritional risk that can be used in clinical, community and research settings.