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The purpose of this study is to propose an alternative efficient 3D emotion recognition model for variable-length electroencephalogram (EEG) data.

Classical AMIGOS data set which comprises of multimodal records of varying lengths on mood, personality and other physiological aspects on emotional response is used for empirical assessment of the proposed overlapping sliding window (OSW) modelling framework. Two features are extracted using Fourier and Wavelet transforms: normalised band power (NBP) and normalised wavelet energy (NWE), respectively. The arousal, valence and dominance (AVD) emotions are predicted using one-dimension (1D) and two-dimensional (2D) convolution neural network (CNN) for both single and combined features.

The two-dimensional convolution neural network (2D CNN) outcomes on EEG signals of AMIGOS data set are observed to yield the highest accuracy, that is 96.63%, 95.87% and 96.30% for AVD, respectively, which is evidenced to be at least 6% higher as compared to the other available competitive approaches.

The present work is focussed on the less explored, complex AMIGOS (2018) data set which is imbalanced and of variable length. EEG emotion recognition-based work is widely available on simpler data sets. The following are the challenges of the AMIGOS data set addressed in the present work: handling of tensor form data; proposing an efficient method for generating sufficient equal-length samples corresponding to imbalanced and variable-length data.; selecting a suitable machine learning/deep learning model; improving the accuracy of the applied model.

The purpose of this study is to investigate the impact of the gender of the firm owner on the export behaviour of firms in the Indian context.

The present study utilizes the data from World Bank’s Enterprise Survey. The survey provides information on 9,281 firms located in different regions in India. Binomial logistic regression is employed to examine if the owner’s gender matters for the firm’s export-related decisions (export propensity, export mode, export intensity and export market diversification) as a direct or moderating factor controlling for other possible determinants of export activity.

The findings of the study reveal that firms with a majority of female ownership are less likely to export. However, once the firms indulge in exports, their choice of export mode and export intensity is not affected by the owner’s gender. The gender of the firm owner plays an important role in export market diversification as it is observed that the firms owned by the majority of women have concentrated export markets.

The findings advocate the integration of gender perspective into export promotion policies in India. In light of the findings that the gender of the firm owner entails a heterogeneous impact on different dimensions of export, the key areas requiring policy interventions are female entrepreneur’s export participation and export market diversification.

This study augments the previous scholarship by focusing on the intersection of the gender of firm owner and export propensity along with other unexplored dimensions of export behaviour in female entrepreneurship literature viz. mode of export, export intensity and export market diversification.

Despite the recognized importance of transactive memory systems (TMS) for firm performance, this relationship remains misconstrued for entrepreneurial firms. Some researchers argue that entrepreneurial firms benefit from effective knowledge management systems, whereas others contend that such systems may prove expensive for resource-scarce entrepreneurial firms. Accordingly, the purpose of this paper is to explore this relationship in the context of Indian entrepreneurial firms. Furthermore, the authors argue that relationship conflict among organizational members impacts the TMS–performance link for entrepreneurial firms.

Data were collected from 127 entrepreneurial hotels in the Uttarakhand state of India and analyzed using multiple linear regression.

The findings of this study establish a positive relationship between TMS and firm performance for entrepreneurial firms. Also, it is found that TMS becomes more nuanced and beneficial in the presence of relationship conflict between organizational sub-units and is a unique finding that can be potentially helpful to entrepreneurs bestowed with the task of knowledge management in their organizations.

This study offers at least two insights to entrepreneurs. First, establishing TMS – i.e. managing knowledge in such a way that specialization units are created, credibility is established among the knowledge units, and there is scope for sufficient communication – leads to enhanced performance in entrepreneurial organizations. Second, as the level of relationship conflict within the entrepreneurial firm increases, it becomes all the more crucial to emphasize TMS.

Although researchers in the literature of knowledge management have emphasized a lot on its performance outcomes, relatively little research effort has been placed on understanding this link for entrepreneurial firms. The current study filled this void in the literature and offered crucial implications for entrepreneurial firms operating in dynamic environments such as hotels. Additionally, the data collected from a relatively unexplored context of Indian hospitality industry offer a valuable addition to the entrepreneurship literature.

The purpose of this paper is to present an attempt to develop an instrument containing operational measures of lean combined with safety and ergonomic conditions in a workstation or production line. This operational tool aims to help researchers and practitioners to prioritize and evaluate the lean implementations, as well as the ergonomic and safety conditions, in an integrated way.

Lean manufacturing methods and principles, as well as safety and ergonomics aspects, were exhaustively researched with the ultimate goal of finding a way to improve the workplace by taking into account the efficiency and well-being of workers. The instrument was validated in an interactive process between theory and practical insights. At the end, it was tested in several workstations/production areas.

The study reveals that high scores are derived from a good interaction between lean, ergonomics and safety.

It would be important to validate it in different companies and different types of industries because each one has its own characteristics.

This tool helps practitioners (technicians and ergonomic practitioners from manufacturing companies) assess the implementation of lean principles and the safety issues in their processes. It also allows managers to evaluate their business and identify the priority areas to improve according to the previously defined company’s aims.

As Peter Drucker said: “If you can’t measure it, you can’t improve it.” For a successful implementation, managers should start the lean journey with a lean assessment and make it in a regular basis. To the authors’ knowledge, there are various lean assessment tools, but this work is innovative because it provides an assessment instrument to evaluate organizations’ workstations/production areas simultaneously in three dimensions: lean, safety and ergonomic aspects.

The purpose of this paper is to examine and introduce comprehensive insights into the field of Lean Six Sigma (LSS) by reviewing the existing literature and identifying the research gap. The state of LSS research is assessed by critically examining the field, along with a number of dimensions, including time horizon, year, journal and publisher, university, country, author, geographic analysis, research design, research affairs, research methods, tools/techniques used, focus industries, major research area, benefits gained by LSS, critical success factors and barriers of LSS implementation.

This paper is based on a systematic literature review of 190 articles containing the word LSS in their title, which are published in a well-known database, such as Elsevier ScienceDirect, Taylor and Francis, Emerald Full Text, Springer Link, Wiley InterScience and Inderscience from January 2000 to September 2016.

This analysis reveals 15 significant dimensions to identify the state of LSS research. Authors find a noticeable rise in the attention of LSS research in the available literature. Major findings show that, the empirical research holds greater credibility. Statistics prove that the case study method scores the highest among all the research methods used in the discipline. The largest number of studies have investigated research issues related to implementation and process of LSS. The LSS uses a wide range of tools/techniques/methodologies: the choice of tools is situation-specific. Manufacturing and health-care sectors have been the focus of LSS research, but LSS has also been adopted by other types of industries. The organizations following LSS have improved bottom-line results, improved company profitability and growth and enhanced customer satisfaction. In general the research is more interpretive in nature; there is still a lack of standard in the LSS implementation framework.

This study is limited to reviewing those articles which contain the word LSS appeared in the title.

This study will help understand the current state of research on LSS, various trends in the field, its applicability and future prospects of investigation in the field.

The purpose of this paper is to examine industry herding among the institutional investors and to find whether their herding behaviour is intentional or unintentional.

The study uses Lakonishok et al. (1992) model to examine the presence of industry herding behaviour among institutional investors. To determine whether the herding observed is intentional or unintentional, herding measure is regressed with volatility, volume, beta and return. The period of the study is from 1 April 2005-31 March 2015.

The findings of the study showed that though institutional investors have herding tendency towards most of the industries, in the overall period industry herding was not significant. The herding found in some industrial sectors was linked to economic performance of those sectors in India during the period of study and hence the herding was unintentional in nature.

This is the first attempt to study industry herding among institutional investors and their intent in Indian market ever since the country opened its market to foreign investors in a big way. Present study is limited to the use of only bulk/block data instead of the entire trading data for the period.

This study is the first attempt to investigate industry herding behaviour of institutional investors in the market using their bulk and block trading data. The herding observed in well performing industries has been shown to be unintentional and hence rational. The results indicate that the entry of big institutional investors, including foreign institutions into the Indian market has not destabilised the market by irrational herding.