Impact of Emotional Labor on Organizational Role Stress – A Study in the Services Sector in India

AbstractThe present study examines the impact of emotional labour on role related outcomes viz., organizational role stress in the services sector in India. Review of literature reveals that emotional labour studies in India hardly have a presence and just about 1% of studies have been researched empirically. This study tries to corroborate the emotional labour and its consequential impact on employee related outcomes in the Indian context as confirmed by numerous studies in the western context. Study reveals that there is positive and moderate relationship between emotional labour and organizational role stress for the overall sample irrespective of the demographic influences. This relationship proved to be higher and positive for the female married segment thus creating latitude for policymakers to examine the nuances

Multi‐stage energy‐risk adjustments using practical byzantine fault tolerance consensus for blockchain‐powered peer‐to‐peer transactive markets

Abstract The energy risk associated with distributed energy resources (DERs) is inevitable in Peer‐to‐Peer (P2P) transactive energy markets owing to mismatches between energy commitments and metered measurements. However, adjusting these possible mismatches by progressive revision of the energy commitments in the rolling time horizon mitigates the energy risk, and thereby mitigates the financial risk for prosumers. In this study, the conditional value at risk (CVaR) is used to estimate the risk value for each prosumer. The energy offers that are riskier than CVaR‐based threshold values are reduced in an “adjustment bid”. A new pricing mechanism for these adjustment bids is introduced, which varies with historical deviations of a prosumer from energy commitments. This market framework and pricing mechanism are simulated through a blockchain network hosted on a Python Django server using the practical Byzantine fault tolerance consensus algorithm to guarantee network immutability and data privacy. Efforts to mitigate such mismatches between ex‐ante and ex‐post energy values incentivise risk‐aware participation in P2P markets. In addition, the welfare of both prosumers and consumers improves with their participation in the proposed market framework. Furthermore, implementing a network using blockchain technology guarantees the privacy of bidding data and provides a secure transaction platform

New moon day anomalies of Amavasya and Muhurat trading: Gestalting the role of culture and institutions

We study the socio-cultural ecosystems, along with cross-country investments and global flow of foreign capital in a local milieu, India, having multiple stock exchanges and listed firms. India's varied investor profiles exhibit a marked preference for certain “special” days given their religious beliefs. This study tests the abstinence hypothesis to examine the “new moon day” effect, considered inauspicious by the local dominant investing community, and the duality of minds, based on India's annual festival, Diwali, considered auspicious to make investments and commence any wealth-generating activity (Muhurat trading). We find that the Indian markets generate a significant negative return on a Friday new moon day and a significant positive return on the Muhurat trading day. We propose a profit-making trading strategy that exploits the impact of the new moon day

A parametric test evaluating smallholder farmers' training needs in Uganda : a case of dairy farmers in the Rwenzori region

Purpose: Effective rural agribusiness development requires dedicated training programmes therefore, this paper is an attempt to investigate smallholder farmers' TNs in the dairy agribusiness sector. The purpose of this paper is to study a bigger research project of the dairy value chain in agribusiness framework in the Rwenzori region. Design/methodology/approach: A sample size of 100 dairy farmers were randomly selected from two Districts in the Rwenzori region. The descriptive statistics (mean and standard deviation) provided a basis for discussion. Furthermore, parametric Pearson coefficient test was conducted to examine the smallholder farmers' TNs and assess its association with selected socio-demographic characteristics of the dairy farmers. Findings: The analysis indicated that dairy farmers expressed the need for a training program. Most frequently requested topics include: fodder cultivation, quality and safe milk handling, milk marketing, calf feeding and rearing, animal nutrition and financial literacy out of 12 topics. The least desired TNs was record keeping. Research limitations/implications: The findings contribute to the understanding of dairy farmers' TNs. Practical implications: The identified 12 key training intervention areas for the dairy farmers inform policymakers Dairy Development Authority and other development bodies in the Rwenzori region to address the challenges and improve smallholder dairy farming practices. Originality/value: The study applies a synthesis review to identify theoretically acceptable variables that measure smallholder farmers' TNs in the dairy agribusiness. The paper also shares the empirical evidence of a pioneering attempt to identify smallholder dairy farmers' TNs in Uganda