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The purpose of this paper is to derive crucial insights from multi-scale analysis to detect equity return co-movements between Korean and emerging Asian markets.

Wavelet correlation, wavelet coherence and wavelet clustering measures are used to uncover Korean equity market interactions which are hard to see using any other modern econometric method and which would otherwise had remained hidden.

The authors observed that Korean equity market is strongly integrated with Asian equity markets at lower frequency scales and has a relatively weak correlation at higher frequencies. Further this correlation eventually grows strong in the interim of crises period at lower frequency scales. The authors, however, do not found any significant deviation in dendrograms generated in data clustering process from wavelet scale 2 to 6 which are associated with four and 64 weeks period, respectively. Overall the findings are relevant and have strong policy and practical implications.

The unique contribution of this paper is that it introduces wavelet clustering analysis to produce a nested hierarchy of similar markets at each frequency level for the first time in finance literature

The purpose of this paper is to develop information behaviour profiles for nursing students, to help inform information literacy programmes.

The methods include further analysis of quantitative findings (previously reported in part 1), together with qualitative research data collection and analysis. Critical incident type interviews with 11 students were transcribed and analysed using an interpretative categorisation method that used dendrograms for data display and analysis. From the regression analysis of the quantitative data, the micro-processes for information seeking were linked to learning styles, and then to personality traits to generate information seeking profiles. Integration of the qualitative findings led to development of a task-based information search model.

The start list of seven categories for qualitative analysis (derived from a literature review) was refined (one category added, one removed, with some relabelling). The quantitative data analysis revealed seven profiles (deep adventurer, deep identifier, deep investigator, strategic all-rounder, strategic collector, surface co-ordinator, surface skimmer, each linked to a particular learning style, personality trait, and preferred information seeking micro-processes).

The data were collected at only one university and the profiles and the model need to be validated with data from other groups of nursing students. The findings on micro-processes consolidate and extend previous research.

The profiles should inform information literacy programmes as they show that information search profiles may be more varied than assumed. The information search model extends previous task-based information search models.

The information search profiles have not been identified previously.

The purpose of this paper is to determine compatibility groups of different fruits and vegetables that can be stored and transported together based upon their requirements for temperature, relative humidity, odour and ethylene production. Pre-cooling which is necessary to prepare the commodity for subsequent shipping and safe storage is also discussed.

The methodology used in this journal is an attempt to form clusters/groups of storing together 43 identified fruits and vegetables based on four important parameters, namely, temperature, relative humidity, odour and ethylene production. An agglomerative hierarchical clustering algorithm is used to build a cluster hierarchy that is commonly displayed as a tree diagram called dendrogram. The same is further analyzed using K-means clustering to find clusters of comparable spatial extent. The results obtained from the analytics are compared with the available data of grouping fruits and vegetables.

This study investigates the usefulness and efficacy of the proposed clustering approach for storage and transportation of different fruits and vegetables that will eventually save huge investment made in terms of developing infrastructure components and energy consumption. This will enable the investors to adopt it for using the space more effectively and also reducing food wastage.

Due to limited research and development (R&D) data pertaining to storage parameters of different fruits and vegetables on the basis of temperature, relative humidity, ethylene production/sensitivity, odour and pre-cooling, information from different available sources have been utilized. India needs to develop its own crop specific R&D data, since the conditions for soil, water and environment vary when compared to other countries. Due to the limited availability of the research data, various multi-criteria approaches used in other areas have been applied to this paper. Future studies might be interested in considering other relevant variables depending upon R&D and data availability.

With the increase in population, the demand for food is also increasing. To meet such growing demand and provide quality and nutritional food, it is important to have a clear methodology in terms of compatibility grouping for utilizing the available storage space for multi-commodity produce and during transportation. The methodology used shall enable the practitioners to understand the importance of temperature, humidity, odour and ethylene sensitivity for storage and transportation of perishables.

This approach shall be useful for decision making by farmers, Farmer Producer Organization, cold-storage owners, practicing managers, policy makers and researchers in the areas of cold-chain management and will provide an opportunity to use the available space in the cold storage for storing different fruits and vegetables, thereby facilitating optimum use of infrastructure and resources. This will enable the investors to utilize the space more effectively and also reduce food wastage. It shall also facilitate organizations to manage their logistic activities to gain competitive advantage.

The proposed model would help decision makers to resolve the issues related to the selection of storing different perishable commodities together. From the secondary research, not much research papers have been found where such a multi-criteria clustering approach has been applied for the storage of fruits and vegetables incorporating four important parameters relevant for storage and transportation.

When large samples are used to estimate airport efficiency, clustering is a necessary step before carrying out any benchmarking analysis. However, the existing literature has paid little attention to developing a robust methodology for airport classification, instead relying on ad hoc techniques. In order to address this issue, this paper aims to develop a new airport clustering procedure.

A frontier-based hierarchical clustering procedure is developed. An application to cost-efficiency benchmarking is presented using the cost function parameters available in the literature. A cross-section of worldwide airports is clustered according to the relevant outputs and input prices, with cost elasticities and factor shares serving as optimal variable weights.

The authors found 17 distinct airport clusters without any ad hoc input. Factors like the use of larger aircraft or the dominance of low-cost carriers are shown to improve cost performance in the airport industry.

The proposed method allows for a more precise identification of the efficiency benchmarks, which are characterized by a set of cophenetic distances to their “peers”. Furthermore, the resulting classification can also be used to benchmark other indicators linked to airport costs, such as aeronautical charges or service quality.

This paper contributed to airport clustering by providing the first discussion and application of optimal variable weighting. In regard to efficiency benchmarking, the paper aims to overcome the limitations of previous papers by defining a method that is not dependent on performance, but on technology, and that can be easily adapted to large airport datasets.

Based on a lexical analysis of publications on 529 Facebook pages, published between 2013 and 2017, this research explores how Brazilian left-wing activist groups participate on Facebook to coordinate their opposition and engage in social struggles. This chapter shows how activist groups set up two main digital network repertoires of action when mobilizing on Facebook. First, in direct connection with major political events, the platform is used as a media arena to challenge governments’ political actions and second, it is employed as a tool to coordinate mobilization, whether these mobilizations are demonstrations on the street or at cultural events, such as at a music concert. These repertoires of action exemplify ways in which contemporary Brazilian activism is carried out at the intersection of online and offline engagements. While participants engage through these two repertoires, this network of activists is held together over time through a more mundane type of event, pertaining to the repertoire of action allowing the organization of mobilization. Stepping aside from opposition and struggles brought to the streets, the organization of cultural activities, such as concerts and exhibitions, punctuates the everyday exchanges in activists’ communications. Talk about cultural events and their related social agendas structures activist networks on a medium-term basis and creates the conditions for the coordination of (future) social movements, in that they offer the opportunities to stay in contact, in addition to taking part in occasional gatherings, between more highly visible social protests.

Life is changing very fast, and its impact is observed in food pattern, consumer behavior and its ultimate market. In these broad outlines, 300 customers were studied in Anand districts of Gujarat. The restaurants and parlors that were studied were franchise models of Gujarat state only. Here in this study, six franchise food retailers were purposively selected. Data were analyzed through cluster analysis techniques. At the end, it was found high quality, better service, convenient location, presentation of food in parlor and restaurants, and zero time delivery are playing key roles for getting customers for the food.

This research aims to conduct a literature review of Lean Six Sigma (LSS) in the Indian context and related research publications and apply bibliometric analysis and the author's visualization to map research trends in this area.

This article conducts a bibliometric analysis of LSS-related research in the Indian context using data gathered from Scopus and Web of Science databases from 2011 to 2022. The review provides information on LSS-related research in the Indian context and evaluates performance based on primary sources, authors, keywords, countries, affiliations, and documents. The analysis employs the Biblioshiny app and Bibliometrix R-tool for data analysis and scientific mapping.

The results of the bibliometric analysis indicate that the LSS culture has widely spread in India. The International Journal of Lean Six Sigma and Production Planning and Control were found to be the most productive sources for publishing LSS-related research articles. Antony J. was identified as the most active author in this field, contributing the most over the years. Among all organizations, NITs have conducted the most comprehensive research on LSS, indicating their significant investment of resources and efforts in studying this methodology and its applications in India. Additionally, the study examined the intellectual, social, and conceptual structures to identify implicit gaps and future research opportunities.

The findings of this study can inform academicians, researchers, practitioners, and policymakers about the state-of-the-art and the specifics of the most prolific studies. This study will facilitate their exploration of emerging research areas in LSS.

To the best of the authors knowledge, this is the first bibliometric analysis of LSS in the Indian context, providing an overview of relevant publications published between 2011 and 2022. This study analyzed 194 articles on LSS in India, which can help researchers and academics identify emerging research areas, suitable collaborators, and relevant journals for future publications.

The objective of this paper is to propose new management techniques applied to Colombian entrepreneurs in displacement situation (EDS) based on education, solidarity, financial aid and social inclusion programs.

The empirical study was conducted between March and September 2010 with a mixture of 92 direct interviews using Alfa Ti, and Delphi surveys to 92 entrepreneurs, of whom 46 were EDS. In order to distinguish between entrepreneurs and EDS, three methodologies were applied: classification into two phases; hierarchical classification (dendrograms); and K‐averages classification. Results were different for the three analyses, although they do have similarities (three clusters of outliers).

The main findings are: distinction among opportunity effect, need effect and survival effect; conceptualization, characterization and classification of EDS; distinction between entrepreneurs and EDS; design of the “five Cs” pentagon; elaboration of the pyramid of micro‐corporate success for EDS.

To date there is no theoretical model to develop administrative skills for EDS to carry out change management in third world countries with social conflicts.

The purpose of this study is to examine the diffusion pattern of new products in Latin America, and to compare the results of principal component analysis with other descriptive approaches.

The author studies the introduction of eight new products in nine Latin American countries, analysing their diffusion rate, market potential, adoption and take-off. He performs a principal component analysis and presents a biplot. The results obtained are compared using the Mantel test.

The results indicate that the approaches used are complementary. The biplot describes 92 per cent of the explained variance. Except for a few cases, in general, the diffusion pattern in Latin America is mainly determined by cross-country wealth differences.

This study only analyses durable goods, and does not include any Central American country.

This study helps companies to predict which will be the characteristics of the diffusion pattern of other new products and to forecast their future sales.

This study helps public actors to decide how to segment the Latin American market when implementing policies that encourage the diffusion of new products.

This research extends our current knowledge on the diffusion of innovations in emerging and less developed countries. This is the first study to compare the characteristics of innovation diffusion patterns in Latin America.

El propósito de este estudio es examinar el patrón de difusión de nuevos productos en Latinoamérica, y comparar los resultados obtenidos del análisis de componentes principales con otros métodos descriptivos.

Se analiza la introducción de ocho productos nuevos en nueve países latinoamericanos. Se analizan la tasa de difusión, mercado potencial, adopción y el tiempo de despegue. Se realiza un análisis de componentes principales y se presenta en un biplot. Los resultados obtenidos se comparan a través del test de Mantel.

Los resultados indican que los enfoques usados son complementarios. El biplot describe el 92% de la varianza explicada. El patrón de difusión en Latinoamérica está principalmente determinado por la diferencia entre la riqueza de los países. Sin embargo, en algunos casos el patrón de difusión no sigue esta tendencia.

Este estudio solo analiza productos duraderos y no incluye ningún país de Centro América.

Este estudio ayuda a las empresas a predecir cuáles serán las características del patrón de difusión de otros productos nuevos y pronosticar sus futuras ventas.

Este estudio ayuda a actores públicos a decidir sobre cómo segmentar el mercado Latinoamericano a la hora de aplicar políticas que incentiven la difusión de nuevos productos.

Esta investigación avanza en el conocimiento actual sobre la difusión de innovaciones en países emergentes y menos desarrollados. Es el primer estudio que compara las características del patrón de difusión de innovaciones en Latinoamérica.