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Recent rapid pace in the introduction of innovations has made adopting new technologies, such as those used for electronic procurement, a routine practice. But successful technology adoption depends on a multitude of factors, including those related to the adopter, to the technology, to the provider and the network within which they operate. Without careful consideration of these factors, effectiveness of benchmarking of technology adoptions may be remiss of predictable outcomes. The paper aims to aid in understanding when and how benchmarking applies to technology adoptions by introducing a new conceptual framework.

The paper combines facets of established theories of innovation adoption to develop a new broad‐based framework. It then applies the framework to develop propositions on the adoption of two distinct types of e‐procurement technologies (EPT), namely electronic data interchange and online auctions.

Three prominent adoption theories that explain innovation adoption are highlighted and it is noted that while useful, on their own, these theories may have limited explanatory power. These paradigms are leveraged to develop an interlocked framework that helps better explain the factors that influence innovation adoption. The factors are categorized into four groups, namely that of the technology, the adopting firm, its trading partners and the network within which it operates.

The paper's conceptual hypotheses need to be empirically validated in a later study.

The paper suggests that application of proper benchmarking practices that are reflective of the technology, the adopter, the provider, and network factors.

This paper fulfils a need to study how benchmarking of innovation adoptions in general, and for EPT in particular, can be made more effective by applying a multi‐dimensional perspective on their adoption.

Students with emotional and behavioral challenges are significantly impacted by mental health issues. Teachers and other school staff need mental health knowledge to work more effectively with these students. Collaboration with mental health professionals and sharing of information is essential.

A system of care is a function-specific, rather than agency-specific approach defined as a “comprehensive spectrum of mental health and other necessary services which are organized into a coordinated network to meet the multiple and changing needs of children and adolescents with severe emotional disturbances and their families” (Stroul & Friedman, 1986). A system of care provides a mental health delivery system for children with SED with a wide array of accessible, community-based services that focus on children's individual needs, include the family in treatment planning, and provide culturally competent services. System of care services are provided by multiple child serving agencies and are collaborative and coordinated (Stroul & Friedman, 1986).

The purpose of this paper is to understand the moderating role of organizational culture in the relationship between service quality, customer satisfaction and loyalty in the banking sector using data from the Ghanaian banking sector. The idea is to understand the relative importance of the various service dimensions to customers patronizing banking services in Ghana and to ascertain what drives customer satisfaction and whether this satisfaction has implication on their loyalty.

The study used a survey and relied on partial least squares structural equation modeling to study the relationship between service quality and its impact on customer satisfaction and customer loyalty.

The result indicates that the reliability, ambiance and social factors all have a significant positive relationship with the satisfaction of customers doing business with these banks. However, assurance and responsiveness of the employees seem to have no significant relationship with the satisfaction of customers. It is also important to indicate that organizational culture seems to strengthen the positive relationship between the service quality dimensions and customer satisfaction. The results further indicate that customer satisfaction has a direct positive relationship with customer loyalty.

Reliability, ambiance and social factors remain the three most important drivers of customer satisfaction in the banking sector in Ghana. It is, therefore, important for bankers to consistently undergo training and education in order to deliver more reliable services to customers. Managers should also make efforts to groom employees, provide attractive promotion materials, provide directions to the banks, make sure the banking halls are neat for customers while waiting and the provision of enough parking spaces for customers. One limitation of this work is that the data focused on only the Ghanaian banking environment.

The research shows the importance of the service quality constructs such as reliability, ambiance and the social factors on customer satisfaction and loyalty in the banking sector. The organizational culture seems to strengthen the positive relationship between empathy, reliability, tangibles and customer satisfaction. It is therefore important for banks to continue to build cultures that will commit employees to their work, so that they feel the sense of ownership of quality in order to contribute meaningfully.

The work illustrates and provides some insights and builds on the literature in the area of service quality, customer satisfaction and loyalty from a developing country’s environment using the stimulus-organism-response model. In addition, this work further highlights the importance of the moderating role of organizational culture in the relationship between the service quality dimensions and customer satisfaction.

As the demand for efficiency and quality in the health-care industry has increased over the past few years, adoption of Lean principles and tools in the medical laboratory industry has become increasingly crucial. The purpose of this study is to explore the level of adoption, barriers and enablers of Lean principles and tools in the Namibian medical laboratory industry.

A descriptive cross-sectional study was carried out to examine the level of usage, barriers and enablers, impact of Lean tools and to suggest appropriate strategies for adopting Lean in the Namibian medical laboratory services.

Research findings reveal that Lean tools are moderately implemented in most laboratories. Standard operating procedures, root cause analysis, overall equipment effectiveness and visual management are the important Lean tools used in the industry. Results of the survey also show that Lean tools had a positive impact on operational performance, employee motivation, turnaround time and cost reduction. Furthermore, top management involvement, adequate training and proper planning emerged as important enablers, while lack of support from the management, financial constraint and staff resistant to change are major barriers to the adoption of Lean principles in the Namibian medical laboratory industry.

The paper has inherent limitations of survey research, which the authors will overcome by using case studies with medical laboratories.

The findings of the authors’ work will help in widening the application of Lean principles in more medical laboratories in Namibia and in other parts of the world.

The paper is based on numerous health-care studies on Lean. This is one of the few papers investigating the adoption of Lean principles, specifically in medical laboratories, from an emerging economy such as Namibia.

The crowdfunding market has experienced rapid growth in recent years. However, not all projects are successfully financed because of information asymmetries between the founder and the providers of external finance. This shortfall in funding has made factors that lead to successful fundraising, a great interest to researchers. This study draws on the social capital theory, human capital theory and level of processing (LOP) theory to predict the success of crowdfunding projects.

A feature set is extracted and correlations between project success and features are utilized to order the features. The artificial neural network (ANN) is popularly applied to analyze the dependencies of the input variables to improve the accuracy of prediction. However, the problem of overfitting may exist in such neural networks. This study proposes a neural network method based on ensemble machine learning and dropout methods to generate several neural networks for preventing the problem of overfitting. Four machine learning techniques are applied and compared for prediction performance.

This study shows that the success of crowdfunding projects can be predicted by measuring and analyzing big data of social media activity, human capital of funders and online project presentation. The ensemble neural network method achieves highest accuracy. The investments rose from early projects and another platform by the funder serve as credible indicators for later investors.

The managerial implication of this study is that the project founders and investors can apply the proposed model to predict the success of crowdfunding projects. This study also identifies the most influential features that affect fundraising outcomes. The project funders can use these features to increase the successful opportunities of crowdfunding project.

This study contributes to apply a new machine learning modeling method to extract features from activity data of crowdfunding platforms and predict crowdfunding project success. In addition, it contributes to the research on the deployment of social capital, human capital and online presentation strategies in a crowdfunding context as well as offers practical implications for project funders and investors.