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This study aims to explore the importance and impact of supply and manufacturing risk management upon business performance within the context of Chinese manufacturing supply chains.

A two-phased multi-method approach was adopted, which included a survey questionnaire to practitioners in Chinese manufacturing supply chains followed by semi-structured interviews. The findings included 103 valid survey responses complemented by six semi-structured interviews.

The results indicate that in Chinese manufacturing context supply risk and manufacturing risk management are both vital for business performance. A high correlation between business and manufacturing risk management performance exists; however, no significant impact of supplier dependency, systematic purchasing, maturity of production and supply chain and human resources was found despite previously these elements being regarded as key influencers for supply and manufacturing risk management performance. The Chinese manufacturing supply chain indicated that elements such as the supplier and customer orientation, flexibility, manufacturing and supply risk highly connotes with business performance.

In the current unpredictable and volatile business environment, the competitiveness of manufacturing supply chains to a large extent depend on their ability to identify, assess and manage the manufacturing and supply risks. The findings of this study will assist supply chain managers in taking decision on manufacturing and supply risk management and reducing the uncertainty upon their business performance.

The supply chain risk has been widely explored within the context of individual case studies, or standalone models focusing on either supply or manufacturing risk in supply chains; however, to what extent this has been applicable to a wider context and its impact upon business process has not been explored. Hence, this study simultaneously has analysed manufacturing risk and supply risk and its impact upon Chinese manufacturing supply chains business performance. Moreover, this study uses a combination of quantitative and qualitative methods, which is often limited in this area. Finally, the institutional theory lens offers novel insights in better understanding the factors that can affect the impact of supply and manufacturing risk management upon business performance in those contexts, such as China, where the institutional aspect presents specific features.

The discussion of supplier performance assessment and implementation challenges has been evidenced well in the academic literature. However, the analysis of supplier performance assessment has been limited in terms of inclusion of suppliers’ perspective, especially in terms of what key performance indicators they deem to be relevant and aligned with their goals. Therefore, the purpose of this paper is to shed light on supplier performance assessment, taking into account both manufacturing company’s and suppliers’ perspective, to evaluate to what extent the utilised performance measures are beneficial to all parties.

Based on literature review on supplier performance assessment, ten categories of performance measures were established and explored in a case study involving a UK manufacturing company and its suppliers. A questionnaire was distributed to the manufacturing company and their 30 suppliers, resulting with a total of 41 responses.

From the established ten categories only five categories were highly rated which were: net profits, flexibility and responsiveness, delivery performance and time and cycle time, product quality and availability, which were aligned to financial and internal business process categories.

This study focused on a UK-based company and its relationship with its suppliers and how performance measures were assessed within this context. A further study needs to be conducted in terms of comparing the results of the study to other companies’ supplier performance assessment.

The research on the topic of supplier performance assessment often relates to measurement and highlights measures for assessing suppliers’ performance to a particular industry or area of performance measurement. Hence, this study embeds three distinctive angles including the academic literature on supplier performance assessment, suppliers’ and the manufacturing company’s perspectives.

Mixed methods research is useful to enhance theoretical and practical research contributions. However, single methods have predominated much logistics and supply chain management (LSCM) research. This paper presents a review of mixed methods research across ten years in LSCM to determine their usage, identify benefits and inhibitors, and provide suggestions for LSCM researchers to realise the benefits from using mixed methods.

This paper adopts a mixed methods approach through a quantitative analysis of methods used in six leading LSCM journals, an e-mail survey of mixed methods article authors during the review period, and four published case studies that used mixed methods.

Only 144 (ten percent) of all empirical articles were published using mixed methods during the review period. A range of benefits and inhibitors regarding mixed methods adoption were found. Suggestions for LSCM authors include research training in mixed methods use and developing a project-specific research design due to the specificity and complexity associated with mixed methods research.

LSCM is at a critical juncture, shaped by new contexts, themes and challenges, and would benefit from different research approaches and methods. This paper contributes to the LSCM domain through analysing the current state, benefits and inhibitors of mixed methods research in LSCM journals to provide a renewed call to action and guidelines for mixed methods LSCM research, and suggesting research design adaptation to enable agile and resilient research when investigating rapidly changing and complex phenomena.

The purpose of this paper is to review extant literature and present a proposed research agenda to examine whether environmental, i.e. green performance measures, can be integrated within an existing supply chain performance framework, explore what a meaningful industry‐recognised environmental measure should look like, and understand the direct benefits of incorporating environmental measures within a supply chain performance framework.

The paper is based on an extensive literature review in four key areas: performance management, supply chain performance management, environmental management and benchmarking.

The literature suggests there is an opportunity to explore the relationship between the environment and logistics and that environmental supply chain performance measurement (SCPM) should enable organisations to more effectively benchmark their supply chain environmental performance. A framework incorporating these notions and a research agenda for empirical study are also presented.

The paper provides direction for practitioners on measuring the environmental impact of their supply chains in the context of their overall business performance. The proposed research agenda integrates an environmental measure into an extant supply chain performance framework to provide practitioners with a more holistic view of their supply chain performance in relation to competitors.

There has been limited research conducted in this area. This paper provides insights into developing a green SCPM framework.

Purpose – The purpose of this research is to compare trends, drivers, and best sustainable development (SD) practices in the Nordic region and California, USA.Design/methodology/approach – Four research propositions are explored: (1) SD is driven by governmental, economic, and social/cultural influences. (2) Social democracy and mixed economies in the Nordic region influence SD differently than the free market system of the United States. (3) The profit-centered, short-term view in the United States impacts SD differently than the longer-term approach in the Nordic region. (4) The egalitarian culture in the Nordic region influences SD differently than the entrepreneurial culture in the United States. The study incorporates a comprehensive literature review, 34 field interviews and research observations in the United States and the Nordic region.Findings – California and the Nordics have similar market economies where SD is largely driven by private sector; however, the role of government more directly influences SD in the Nordic region. Also, the profit-centered, entrepreneurial view of the United States drives innovation in SD based on short-term profitability gains, which ultimately hinders long-term solutions. Alternatively, the egalitarian culture in the Nordic region manifests in more focused and quicker adoption of SD policies. Lastly, the Nordics have a broad range of SD goals and a competitive advantage in key SD technologies. Conversely, California pursues a large variety of technologies without clearly defined goals that tend to be less effective than the Nordic countries.Originality/value of chapter – The chapter identified similarities and differences in SD trends, best practices, policies, and attitudes: California compared to Nordic countries.

This study investigated how college students’ pace of life and perceptions of communication technologies shape the choices they make when engaging in mediated communication with their parents.

We conducted 21 interviews to explore how students’ understandings of various communication technologies, the rules and patterns of technology use in their families, and the circumstances surrounding their use of technologies while at college influence the number and type of media they use to communicate with their parents.

We found that perceived busyness and generational differences played a large role in limiting technologies used, with environmental factors, the purpose of communication, and complexity of message also contributing to technology choices.

This study extends media multiplexity theory by investigating media choice and relational tie strength in an intergenerational context.

The purpose of this study is to analyze magnetohydrodynamic three-dimensional flow of Casson nanofluid over a stretching sheet in presence of thermophoresis and Brownian motion effects. In contrast, the convective surface boundary conditions with the effects of radiation are applied.

The governing partial differential equations are transformed into highly nonlinear coupled ordinary differential equations consisting of the momentum, energy and nanoparticle concentration via suitable similarity transformations, which are then solved the using optimal homotopy analysis method (OHAM) a Mathematica Package BVPh2.0.

The influence of emerging physical flow parameters on fluid velocity component, temperature distribution and nanoparticle concentration are discussed in detail. Also, an OHAM solution demonstrates very good correlation with those obtained in the previously published results. It is noticed that OHAM can overcome the earlier restriction, assumptions and limitation of traditional perturbation method. The main advantage of this method is that OHAM can be applied directly to nonlinear differential equations without using linearization and round-off errors, and therefore, it cannot be affected by error associated to discretization.

Here the approximate solutions are compared with the numerical results published in earlier work.