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The purpose of this study is to examine the reform initiatives that began with a focus towards change in the teaching and learning in Singapore classrooms with technology integration.

The methodology used in this study is review and descriptive narrative of educational technology polices, initiatives and projects.

The Ministry of Education, Singapore, has ensured that schools had infrastructure, leadership and necessary teacher training to successfully implement the initiatives.

The descriptions of the implementations are valuable lessons for other national systems in the region and beyond, seeking to integrate information and communications technology (ICT) in their education systems.

The purpose of this paper is to investigate the issue of efficiency in the Brazilian motor carrier industry, which has undergone significant transformations since the economy deregulation in the mid-1990s. The main research objective is to determine whether or not different types of cargoes and geographic regions serviced significantly impact trucking managerial efficiency levels.

Research objectives are accomplished by applying a two-stage data envelopment analysis model with bootstrapped estimates. Based on an unbalanced panel model, secondary data from the annual study published by Transporte Moderno (years 2002-2010) were collected and analyzed.

Results support anecdotal evidence regarding a heterogeneous impact of cargo mix and route mix on efficiency levels.

A major limitation of this work concerns the fact of working with secondary data instead of primary data, especially with respect to the set of inputs and outputs used in the analysis, which may not cover all aspects relevant to building an efficiency frontier. Despite this limitation, the study has made an important contribution in its use of panel data to demonstrate the impacts of different types of cargoes and geographic regions serviced on managerial efficiency levels in the trucking industry.

Managerial impacts in terms of mergers and acquisitions are addressed.

The contribution of this study is twofold. On the theoretical side, a valuable scale for the measurement of managerial efficiency was built and validated, representing an index toward the most productive cargo/route mix. On the other hand, the managerial implication of this possibility of measuring the efficiency levels is that motor carriers can use it as a basis for establishing future action plans.

Brazil, DEA, Longitudinal study, Efficiency drivers, Trucking industry, Unbalanced panel

 Research paper

El estudio investiga el tema de la eficiencia en la industria del transporte Brasileña, la cual ha experimentado cambios significativos desde la desregulación de la economía a mediados de los años noventa. El objetivo principal de la investigación es determinar si los diferentes tipos de cargas y regiones geográficas que han recibido los servicios impactan significativamente o no los niveles de eficiencia administrativa de las empresas de camiones.

Los objetivos de la investigación se lograron usando un modelo DEA de dos etapas con estimaciones bootstrap. Basado en un modelo de panel no balanceado, se obtuvieron y analizaron datos secundarios del estudio anual publicados por Transporte Moderno (años 2002-2010).

Los resultados apoyan la evidencia anécdota en lo relacionado con el impacto heterogéneo de mezcla de cargas y una combinación de rutas en los niveles de eficiencia.

La limitación más grande de este trabajo es el hecho de trabajar con datos secundarios en vez de usar datos primarios, especialmente en relación con el set de inputs y outputs usados en este análisis, que podrían no cubrir todos los aspectos relevantes en la construcción de una frontera eficiente. A pesar de esta limitación, este estudio hace una importante contribución al usar datos de panel para demostrar los impactos de los diferentes tipos de cargas y regiones geográficas atendidas, en los niveles de eficiencia de la administración de la industria de transporte de camiones.

Se discuten los impactos de administración en términos fusiones y adquisiciones.

La contribución de este estudio es doble. Por el lado teórico, una escala relevante para medir la eficiencia de la administración fue construida y validada, que representa un índice hacia la combinación carga/ruta más efectiva. Por otro lado, las implicaciones administrativas de la posibilidad de medir niveles de eficiencia es que las empresas de transportes pueden usarloa como base para establecer planes futuros de acción.

Estudio longitudinal, Industria camionera, Brasil, DEA, Promotores de eficiencia, Panel no balanceado

 Trabajo de investigación

A pesquisa investiga o tema da eficiência na indústria brasileira de transporte rodoviário, a qual tem experimentado mudanças significativas desde a desregulamentação da economia em meados dos anos noventa. O objetivo principal da pesquisa é determinar se os diferentes tipos de cargas e de regiões geográficas atendidas impactam significativamente ou não nos níveis de eficiência na gestão de cargas rodoviárias.

Os objetivos da pesquisa foram atingidos usando um modelo DEA de dois estágios com estimativas bootstrap. Baseados em um modelo de painel, foram recolhidos e analisados dados secundários publicados no estudo anual da publicação Transporte Moderno (anos 2002-2010).

Os resultados apoiam a evidência baseada no senso comum relacionada ao impacto heterogêneo do mix de cargas e do mix de rotas nos níveis de eficiência.

A maior limitação de esta pesquisa concerne ao fato de trabalhar com dados secundários em vez de dados primários, especialmente em relação com a série de inputs e outputs utilizados na análise, que não puderam cobrir todos os aspectos relevantes para definição da fronteira de eficiência. Apesar dessa limitação, esta pesquisa traz uma importante contribuição ao utilizar dados de painel para demonstrar os impactos dos diferentes tipos de cargas e de regiões geográficas atendidas sobre os níveis de eficiência na gestão do transporte de cargas rodoviárias.

Os impactos da gestão em termos de fusão e aquisição são abordados.

A contribuição deste estudo é dupla. Pelo lado teórico, foi construída e validada uma escala relevante para medir a eficiência de gestão de cargas rodoviárias, que indica um índice para a combinação mais efetiva da combinação entre cargas e rotas. Por outro lado, quanto às implicações gerenciais, a possibilidade de medir os níveis de eficiência criam a possibilidade das empresas de transportes utilizá-los como base para futuros planos de ação.

Estudo longitudinal, Setor de transporte rodoviário, Brasil, DEA, Condutores de eficiência, Dados em painel

 Trabalhos de pesquisa

Purpose: FinTech is exploding all over the world. FinTech companies play a critical role in growing the banking industry. This chapter reviews existing literature on FinTech in banking, particularly its publication trend, journal productivity and impact, affiliated organisations and related themes.

Need for the Study: FinTech is reshaping the banking sector as banks move towards digitisation. FinTech has eliminated the need for paper, reduced the requirement for physical presence, and destroyed the necessity for cash. Several researchers have studied the features and benefits of FinTech technologies in the banking field. So, there is a need to analyse the available literature to identify the scope of further research in this field.

Methodology: For a comprehensive review, Bibliometric and content analysis of 77 open access green articles collected through the structured database of ‘Dimensions’ is done. These articles are published in the UGC Journal List Group II.

Findings: It is revealed that the execution of FinTech is continuously increasing in the banking sector, which has resulted in automation in various banking activities. The study revolves around technology and Banking, Financial Inclusion and Growth, and the Impact of the Financial Crisis on Banking and Peer-to-Peer (P2P) lending.

Practical Implications: The conclusions of this study can help academia and industry improve their understanding of FinTech in Banking, specifically its publication trend, geographical distribution, and creation of coherent themes. Careful analysis of collected articles will help to explore the scope of further research.

The purpose of this paper is to explore the nature of research topics and methodologies employed in existing studies of quality management (QM) in research and development (R&D).

Using a systematic review methodology (SRM), this paper analyzes the literature to identify major themes, shortcomings, and key management practices.

The literature review reveals that researchers have mainly explored only how to implement quality principles and practices in the R&D environment and made little effort to explore other aspects of QM. QM practices discussed in the literature consist of top management commitment, R&D workforce involvement, training, a process‐based approach, teamwork and cross‐functional teams, fact‐based measurement and feedback mechanisms, R&D client focus, and good communication with suppliers. The dominant methodology employed in existing studies is either a case study or conceptual approach.

The paper provides researchers with valuable information about how this research area has evolved, what main themes have been discussed in the literature, and what management practices are effective in pursuing quality efforts in R&D. This study also makes a contribution to the development of quality theory in R&D by pointing out significant gaps in the current literature and suggesting important areas for future study.

Cloud computing (CC) refers to the usage of virtualization technology to share computing resources through the internet. Task scheduling (TS) is used to assign computational resources to requests that have a high volume of pending processing. CC relies on load balancing to ensure that resources like servers and virtual machines (VMs) running on real servers share the same amount of load. VMs are an important part of virtualization, where physical servers are transformed into VM and act as physical servers during the process. It is possible that a user’s request or data transmission in a cloud data centre may be the reason for the VM to be under or overloaded with data.

VMs are an important part of virtualization, where physical servers are transformed into VM and act as physical servers during the process. It is possible that a user’s request or data transmission in a cloud data centre may be the reason for the VM to be under or overloaded with data. With a large number of VM or jobs, this method has a long makespan and is very difficult. A new idea to cloud loads without decreasing implementation time or resource consumption is therefore encouraged. Equilibrium optimization is used to cluster the VM into underloaded and overloaded VMs initially in this research. Underloading VMs is used to improve load balance and resource utilization in the second stage. The hybrid algorithm of BAT and the artificial bee colony (ABC) helps with TS using a multi-objective-based system. The VM manager performs VM migration decisions to provide load balance among physical machines (PMs). When a PM is overburdened and another PM is underburdened, the decision to migrate VMs is made based on the appropriate conditions. Balanced load and reduced energy usage in PMs are achieved in the former case. Manta ray foraging (MRF) is used to migrate VMs, and its decisions are based on a variety of factors.

The proposed approach provides the best possible scheduling for both VMs and PMs. To complete the task, improved whale optimization algorithm for Cloud TS has 42 s of completion time, enhanced multi-verse optimizer has 48 s, hybrid electro search with a genetic algorithm has 50 s, adaptive benefit factor-based symbiotic organisms search has 38 s and, finally, the proposed model has 30 s, which shows better performance of the proposed model.

User’s request or data transmission in a cloud data centre may cause the VMs to be under or overloaded with data. To identify the load on VM, initially EQ algorithm is used for clustering process. To figure out how well the proposed method works when the system is very busy by implementing hybrid algorithm called BAT–ABC. After the TS process, VM migration is occurred at the final stage, where optimal VM is identified by using MRF algorithm. The experimental analysis is carried out by using various metrics such as execution time, transmission time, makespan for various iterations, resource utilization and load fairness. With its system load, the metric gives load fairness. How load fairness is worked out depends on how long each task takes to do. It has been added that a cloud system may be able to achieve more load fairness if tasks take less time to finish.

The aim of this paper is to understand how, in tough economic times, British‐owned, English language newspapers such as The Pioneer received and filtered news, especially gender‐related and nationalist‐related events and thinking.

Using qualitative and quantitative methods to assess communications by and about pro‐nationalist women, coverage of female activities was categorised into two groups: first, educational, social and peaceful campaigns and second, direct action such as strikes, burning of British cloth and business/land rent boycotts.

Direct action provided “bad news” coverage, but it simultaneously gave a small window for publicity. Less threatening peaceful campaigns provided a bigger window – enhanced by the novelty value of female activism.

Historians need to look specifically at Indian newspapers during the struggle for independence for a counter‐hegemonic discourse that reached a wide public. When evidence of women's activism is paired with financial news, it becomes clear that women had a negative impact on British business. Furthermore, The Pioneer's own business dilemmas made the paper part of the economic and ideological maelstrom that it reported on.

This is the first time that the colonial press in India itself has been scrutinised in detail on the subject of the rising nationalist movement and women. Findings underline female influence on both economics and ideology – a neglected aspect of Indian gender scholarship and economic history.

This paper investigates why bancassurance coexists with alternative insurance distribution channels in the long run, considering the bank channel is known to involve lower costs than traditional distribution systems. It tests the product-quality hypothesis that maintains that the higher costs of some distribution systems represent expenses associated with producing higher product quality, greater service intensity and/or skills to solve principal-agent conflicts.

An analysis is conducted on firms operating in the life segment of the Spanish insurance industry over an eight-year sample period. First, the author estimates cost efficiency and profit inefficiency using data envelopment analysis. Cost efficiency enables one to evaluate if the use of the banking channel increases cost efficiency. Profit inefficiency is addressed to identify the existence/absence of product-quality differences. The performance implications of using bancassurance are analyzed by applying Heckman's two-stage random-effects regression model.

The results support the product-quality arguments. The use of banking channel was found to increase cost efficiency. However, the distribution channel/s utilized did not affect profit inefficiency.

A regulatory environment that supports the development of bancassurance enables this and alternative distribution channels to be sorted into market niches, where each system enjoys comparative advantages in order to minimize insurer costs and maximize insurer revenues. There is no single optimal insurance distribution system.

This is the first study to investigate why bancassurance coexists with alternative insurance distribution channels.

Coffee in capsules consumers’ behaviour depends not only on the products’ attributes, but also the consequences perceived by them and the alignment with their values. This paper aims to investigate the impacts of the Attributes of coffees in capsules on the consequences perceived by consumers concerning their consumption and the effects of these Consequences on consumers’ Values.

This study developed a scale for assessing the perception of consumers of coffee in capsules about Attributes, Consequences and Values (A-C-V) regarding its consumption. A link to this survey’s electronic questionnaire was posted on the social networks Facebook and Peabirus. This research sample is for convenience and accessibility and has 213 consumers of coffee in capsules. Structural Equation Modelling (SEM) was the statistical method used for data analysis.

Attributes have two sub-dimensions (Own attributes and Functional attributes), while Consequences have three sub-dimensions (Handling Benefits, Rational Benefits, Convenience Benefits) and Values have just one dimension. Also, SEM has shown a statistically significant positive relationship between A-C-V perceived by consumers of coffee in capsules. These results confirm the hypotheses developed based on the Means-End Chain Theory (MEC).

As academic contributions, this paper develops a structural model that quantitatively demonstrates the impacts of Attributes perceived by consumers of coffee in capsules on the Consequences of consumption and its effects on their Values. The present survey is the first in the literature that uses structural models contemplating A-C-V. As managerial contributions, this survey provides relevant information to the decision-making of several stakeholders of the chain of coffee in capsules.

This paper aims to present a systematic review of design for six sigma (DFSS) methods applicable to the product development process (PDP) of durables goods and identify a research opportunity on the subject proposing integration of DFSS and a reference model for the PDP. In this way, through the analysis of the theoretical references identified in the scientific databases, it was possible to propose a conceptual model for the PDP oriented to the DFSS.

This paper is based on the theoretical framework presented in peer-reviewed scientific research papers during the period 2000 to 2018 on the theme DFSS applied in the PDP, as well as such as the product development tools/techniques and statistics addressed. By means of key words defined by the acronyms of DFSS methods (DMADOV, ICOV, DMEDI, IDOV, DDOV, PIDOV, DMADIC, DCCDI, DMADV, IDDOV, CDOV and DCOV), DFSS and the acronym DFSS. Applying Boolean expression during the conduction of the searches through the scientific evidence at the Brazilian scientific database platform (Capes database). This database platform is maintained by coordination for the improvement of higher education personnel, which including Emerald Insight (Emerald), Scopus (Elsevier), Science Direct, SpringerLink, Taylor Francis, Scielo (Web of Science), Wiley Online Library, Web of Science (Clarivate Analytics), etc. It was obtained, by means of the searches, 269 papers related to subject DFSS, of which 18 papers had been critically selected for the composition of a conceptual model for the process of development of product guided to the DFSS.

This study presents a review of the literature (systematic review and content analysis) on DFSS and its effectiveness for the PDP. The DFSS methodology is disseminated in the scientific literature through a variety of methods that are often mistaken for the six sigma methodology – DMAIC, which is directed toward process improvement. The PDP integrated with the DFSS concepts contributes to eliminating possible failures during the design of a new product, directing to reduce costs and improve the quality of the product and process.

This paper presents a literature review that guided to a proposal of a preliminary conceptual model DFSS focused on the process of product development with the purpose of being a friendly model that meets the dynamics of the organizations and the expectations of the consumers.

Through the systematic review and content analysis, it was possible to observe that the DFSS methods applied to product development are not related to the PDP reference models available in the literature. In this way, the fusion of the concepts of the DFSS methods and PDP reference models for the construction and proposition of a preliminary conceptual model DFSS oriented to the process of product development intends to contribute in the development of new products with the reduction of time, reduction of the cost, competitive price and consumer satisfaction.

The purpose of this paper is to estimate and analyse the technical efficiency (TE) component of productivity for a sample of winegrowers from the Douro Demarcated Region in Portugal.

The data were collected through face-to-face surveys and includes a sample of 110 farmers’ vineyards with specific input-output information and other data about production systems during the year of 2017. The authors use a two-stage data envelopment analysis using bootstrap techniques to obtain TE scores in the farmers’ vineyards and to examine the determinants of its efficiency.

The results show that some farmers’ vineyards have a low efficiency level and that there are essential determinants of the production system, which can influence its efficiency. This suggests considerable opportunities for improvement of wine grape productivity through better use of available resources considering the state of technology.

This work has overcome the lack of data in the farmers’ vineyards, the lack of efficiency studies in the region and also allowed to evaluate the production systems and to assess their impact on efficiency.