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The study aims to develop and test a supply chain wide green product development framework of focal firms and their major suppliers, in the context of the Chinese automotive industry.

An in-depth case studies approach is adopted for this study. Three automotive sector upstream supply chains involving 17 firms and 51 experts as respondents were interviewed on the importance and implementation effectiveness of 6Rs (reduce, redesign, recover, remanufacture, reuse and recycle) across the manufacturer and their respective tier 1 and tier 2 suppliers.

The results indicate that the Chinese automotive sector supply chains are mainly focused on “reduce” practices with immediate environmental and economic benefits. The investigated firms however had future implementation plans for “redesign” and “recovery” practices to become comprehensive in green product development (GPD).

The study facilitates automotive firms, industry policymakers and researchers the understanding of incorporating comprehensive GSCM practices across the upstream supply chain to achieve circularity. The study focused on upstream supply chain due to the concentration of major production practices in this section of the supply chain. However, the downstream supply chain equally deserve attention as well as the need to understand the mediating and moderating roles of the different Rs to tease out the pros and cons of achieving overall environmental sustainability.

There are very limited studies on comprehensive GPD for achieving optimal GSCM and sustainability. By simultaneous looking at a focal firm and its upstream supply chains GSCM practices, this study addresses a system-wide comprehensive GPD issues from implementation of 6Rs perspectives in the supply chain.

Briefly reviews previous literature by the author before presenting an original 12 step system integration protocol designed to ensure the success of companies or countries in their efforts to develop and market new products. Looks at the issues from different strategic levels such as corporate, international, military and economic. Presents 31 case studies, including the success of Japan in microchips to the failure of Xerox to sell its invention of the Alto personal computer 3 years before Apple: from the success in DNA and Superconductor research to the success of Sunbeam in inventing and marketing food processors: and from the daring invention and production of atomic energy for survival to the successes of sewing machine inventor Howe in co‐operating on patents to compete in markets. Includes 306 questions and answers in order to qualify concepts introduced.

Students with mathematics-related learning difficulties (MLD) experience difficulties in many areas of mathematics achievement; without intervention, these difficulties will persist. In this chapter, I first review research examined cognitive processes deficits of MLD. Because difficulties in learning mathematics are presumably due to these cognitive deficits, findings of these studies can shed light on developing effective intervention programs. Second, using Response to Intervention (RTI) as a framework to distinguish the intensity level of intervention, I review findings from existing Tier 2 and Tier 3 intervention studies and synthesize the instructional approaches used in these studies as well as the factors researchers used to intensify the intervention. Finally, Data-Based Individualization (DBI), a systematic approach to intensify intervention, commonly used at the Tier 3 level, is review. Suggestions for future research directions for intensive mathematics intervention are also provided.

Tier 2 intervention is defined by the application of brief, efficient, and accessible supports for students who are at risk for social-emotional and behavioral concerns. Historically, Tier 2 interventions have been delivered in accordance with a standard protocol, with each student receiving the same general strategy in an undifferentiated manner. Yet, research has suggested the potential value of an adaptive Tier 2 approach, wherein brief assessments are conducted to determine which intervention (or adapted version of one particular intervention) is best suited to a student's individual needs. Within this chapter, we provide an overview of procedures related to adaptive Tier 2 intervention and discuss different approaches one might take to this practice. We conclude with a discussion of directions for future research in this area if adaptive Tier 2 intervention is to be widely adopted, implemented, and sustained within schools.

To provide potential accounting doctoral students with relevant information on various doctoral program characteristics.

Current doctoral students in accounting, representing 60 different programs in the United States, completed a survey concerning various doctoral program characteristics at their respective doctoral institutions. We examine the survey responses along with program rankings and job placement data.

Doctoral programs in accounting differ on many dimensions such as the structure of the courses and deliverables required, the student cohort profile, student research support, and teaching expectations. In addition, top tier programs differ on a variety of these characteristics from lower tiered programs.

A single student at each doctoral program completed the survey. Doctoral students’ experiences may differ between each other and programs may change. However, we asked students to respond to the survey questions as a “typical student” and as a whole, doctoral programs appear to have remained similar over the past half of century.

The intended audience for this chapter is potential accounting doctoral students. Providing them with an awareness of the different program characteristics should prove to be useful in finding a program with the appropriate fit.

This study aims to explore the audit quality supplied by the Big 4, large indigenous Chinese (LIC) and five largest second-tier international network (Tier 2) audit firms in China during the second phase of their audit market development.

Ordinary least squares regression is used on an archival sample of firm-year observations. Endogeneity and self-selection bias are addressed by creating a propensity score matched sample and using two-stage regression with the inverse Mills’ ratio.

Strong evidence is found for higher levels of actual audit quality for the Big 4 relative to both LIC and Tier 2 audit firms. Weak evidence is found regarding the audit quality superiority of Tier 2 relative to LIC audit firms. Furthermore, the actual audit quality differential between the Big 4 relative to the LIC and Tier 2 firms widens after adopting International Financial Reporting Standards, which is contrary to the intention of Chinese regulators.

To the best of the authors’ knowledge, this is the first known empirical study to trisect Big N and non-Big N audit firm proxies into the Big 4, LIC and Tier 2. Currently, only qualitative studies have fully appreciated the unique regulatory roles of these three firm structures in developing China’s audit market, which reflect tensions between reliance on foreign expertise and self-determination. In addition, this study adds to the ongoing global dialogue on Tier 2 as an alternative to the Big 4 and the benefits of international accounting network membership.

Based on the emerging view of supply chains as complex adaptive systems, this paper aims to build and test an analytical model for resilience assessment surrounding supply chain risks at the level of the supply chain system and its individual tiers.

To address the purpose of this study, a multimethod research approach is adopted as follows: first, data envelopment analysis (DEA) modelling and fuzzy set theory are used to build a fuzzy network DEA model to assess risk resilience of the overall supply chains and their individual tiers; next, the proposed model is tested using a survey of 150 middle- and top-level managers representing nine industry sectors in Iran.

The survey results show a substantial variation in resilience ratings between the overall supply chains characterizing nine industry sectors in Iran and their individual tiers (upstream, downstream and organizational processes). The findings indicate that the system-wide characteristic of resilience of the overall supply chain is not necessarily indicative of the resilience of its individual tiers.

High efficiency scores of a number of tiers forming a supply chain are shown to have only a limited effect on the overall efficiency score of the resulting supply chain. Overall, our research findings confirm the necessity of adopting both the system-wide and tier-specific approach by analysts and decision makers when assessing supply chain resilience. Integrated as part of risk response and mitigation process, the information obtained through such analytical approach ensures timely identification and mitigation of major sources of risk in the supply chains.

Supply chain resilience assessment models rarely consider resilience to risks at the level of individual supply chain tiers, focusing instead on the system-wide characteristics of supply chain resilience. The proposed analytical model allows for the assessment of supply chain resilience among individual tiers for a wide range of supply chain risks categorized as upstream, downstream, organizational, network and external.

Multitiered systems of support (MTSS) is widely advocated as an approach to improving education for all students, including students with disabilities. A hope for MTSS is that it can solve or mitigate many problems associated with providing special education to students with disabilities. While MTSS shows some promise for better addressing these problems, enthusiasm for MTSS and unsound thinking about what MTSS can do, cannot do, and has not done can veil lack of progress toward improving special education, as well as obscure what improving special education requires. We suggest that for both MTSS and special education to make more progress toward achieving their promises, several reality checks are urgently needed.

The paper aims to study the challenges and solutions of city logistics in the new retail era. The new retail, which is characterized by omni-channel, fragmented orders and decentralized 2C distribution, is becoming the mainstream of the retail industry worldwide. In order to achieve a comprehensive breakthrough in new retail, the change of order fulfillment mode is the most noteworthy issue. The aim of this paper is to design a city logistics operation model for new retail and verify its feasibility and efficiency.

A physical internet (PI) enabled two-tier city logistics solution is proposed by redefining the key facilities in city logistics with the PI concept. A “Container-as-a-Warehouse” operation mode is designed to provide a more flexible store and transfer solution. A mathematical model of the proposed solution is established. An adaptive large neighborhood search (ALNS) is designed based upon an iterative procedure, which ensures consistent and optimal results.

To quantitatively assess the feasibility of the proposed solution, a computational experiment is designed to compare the performance of the proposed model against the conventional two-tier city logistics operation. The effects of geographical location pattern, utilization of PI-hub as well as the fluctuation of customer orders are analyzed. The results show that the PI-enabled city logistics is more advantageous than the conventional solution.

This study does not consider the impact of new technologies in city logistics; for example, the replenishment problem of unmanned vending machines and the charging problem of electric vehicles.

The proposed PI-enabled solution and analysis results in this paper have positive guiding significance for future practical application.

Based on the concept of PI, this paper proposes an innovative and practical operation model to solve the city logistics challenges.

The authors observe the impact of certain aspects of globalization on the work-family interface in India. Specifically, the purpose of this paper is to investigate the impact of life in Tier 1 (more globalized) vs Tier 2 (less globalized) cities, family/work collectivism and gender on work-family conflict (WFC) – both work interfering with family (WIF) conflict as well as family interfering with work (FIW) conflict.

The study surveyed 628 young employees on cultural values of collectivism and WFC.

Results suggest a main effect of tier in which Tier 1 city individuals experience more of both forms of WFC than Tier 2 city individuals. However, two- and three-way interactions between family/work collectivism and tier greatly moderate the main effect. Interactions indicate that family collectivism decreased WIF more for Tier 1 as compared to Tier 2 cities and work collectivism decreased FIW more for Tier 2 as compared to Tier 1 cities. The results suggest that high family collectivism creates high conflict for those who are low on work collectivism and high family collectivism creates low conflict for those who are high on work collectivism.

The paper provides great insight into globalization and WFC within the context of cultural values. The paper calls for further studies on globalization, work life enrichment and cultural values.

The results build a case for more paid and organizationally supported interventions for work-life balance in India.

Large scale institutional changes, such as globalization, call for a reexamination of cultural dynamics. This study heeds the call and examines WFC in the context of rapid economic and social transformation occurring in India by bridging globalization, cultural change and WIF/FIW.