IoT‐enabled services in online food retailing

The present study aims at understanding the application of Internet of Things (IoT) in online food retailing, influencing purchase frequency of ready‐to‐eat food products. The research is empirical in nature in which an internet based consumer survey was conducted to collect 329 valid responses on PAN India basis. This research comprehensively investigated, shortlisted, and finally selected the factors of consumer involvement and decision making using IoT in online food retailing. The binary logistic regression model revealed that the factors relative advantage, best deals, availability and information, consumer satisfaction, and channel efficiency significantly influences the consumer purchase frequency for ready‐to‐eat food products at various stages in online food retailing. The understanding, extrapolation, and proper management of these factors will help online food retail players in implementing IoT enable services effectively in their retail formats to gain consumer confidence.     

UNPACKING THE BLASPHEMY LAWS OF PAKISTAN

Over the years, Pakistan's notorious blasphemy laws have been a central instrument for the persecution of religious minorities. While these laws are colonial in origin, they exist today within the context of a general Islamisation of laws, which combined with the state's inability to hold a monopoly over violence have contributed to growing anarchy in the country. This paper traces the evolution of Pakistan's religious nationalism, presents debates around the blasphemy laws and their implementation, and considers the possibilities for reform.     

Application of Raman spectroscopy in forensic investigation of questioned documents involving stamp inks

Stamp pad inks from different manufacturers across India have been analyzed to investigate the feasibility of Raman scattering as a tool for forensic analysis of questioned documents involving stamp inks. Nine different stamping inks were analyzed by both Raman spectroscopic and HPTLC methods. The results demonstrate the effectiveness of these methods in classifying the investigated stamping inks based on their spectral pattern and HPTLC chromatogram. Raman scattering tool was able to determine the sequence of heterogeneous intersection strokes involving a blue stamp pad ink and other writing instruments, such as ballpoint pen ink (red and black), pencil and laser printer toner. However, this method was unable to resolve the exact sequencing for the intersection strokes involving investigated stamp ink and blue ballpoint ink or gel pen ink (all colors).     

Identification of mongoose (Genus: Herpestes) species from hair through band pattern studies using discriminate functional analysis (DFA) and microscopic examination

India is home to seven species of mongoose (Herpestes sp). Mongooses are being poached primarily for their hair, which is used in the production of painting and shaving brushes. Prior to September 2002, mongooses were listed under Schedule-IV of the Wildlife (Protection) Act 1972 (India). Indiscriminate poaching of the mongoose created an immediate threat to their survival and hence mongooses have now been placed under Schedule-II of the Wildlife (Protection) Act-1972 (India). In order to convict a person under this legislation, species identification of case related samples is necessary. Four species of mongoose i.e. H. edwardsii, H. smithii, H. palustris and H. urva were characterised by performing discriminate functional analysis (DFA) on measurements of their dorsal guard hair banding pattern and by microscopic hair characteristics (Cuticular, medullar and cross section). It was possible to distinguish between the four species studied, based on both these methods.     

Contribution of agriculture in economic growth: A case study of West Bengal (India)

Economists have argued that role of agriculture is pivotal for economic development of the nation. Worldwide studies have shown that agriculture sector is more effective in reducing hunger and poverty than other sectors. This study is an attempt to ascertain the importance of agriculture in the economic growth of West Bengal. Agriculture, being the source of livelihood and supplier of raw material to various industries, triggers economic growth of the nation. This paper exhibits how agriculture has contributed to West Bengal's economic excellence using empirical data and a cointegration analysis. The role of agriculture is examined on four contributions: (a) product contribution (forward linkage), (b) market contribution (backward linkage), (c) factor contribution, and (d) foreign exchange contribution. The composition and growth of the sectors and its association with other sectors is analyzed using time series analysis. Findings of the study revealed that agriculture sector has appeared as an important contributor to drive West Bengal economic growth even after declining share in gross state domestic product over the years. Empirical analysis reveals that agriculture is having long run causal linkages with industry, services, and overall economic growth in West Bengal.     

The likelihood of social choice violations in rank sum scoring: algorithms and evidence from NCAA cross country running

Recent contributions have used combinatorial algorithms to determine the likelihood of particular social choice violations in rank sum scoring. Given the broad importance of rank sum scoring (e.g., in non-parametric statistical testing, sporting competition, and mathematical competition), it is important to establish the level of ambiguity generated by this aggregation rule. Combinatorial likelihoods are naïve, however, in that they assume each possible outcome sequence for an event to be equally likely. We develop a computational algorithm to extend upon previous combinatorial results as to the likelihood of a violation of transitivity or independence in rank sum scoring. We use a similar computational scoring approach to analyze the empirically-observed likelihood of each such violation across fourteen NCAA Cross Country Championships. Within the data, rank sum scoring fails to specify a robust winning team (i.e., one that also rank sum wins against each possible subset of opponents) in 4 of 14 cases. Overall, we find that empirical likelihoods of social choice violations are consistently (significantly) overestimated by combinatorial expectations. In the NCAA data, we find correlated ability (quality) levels within team (group) and discuss this as a cause of lower empirical likelihoods. Combinatorial analysis proves reliable in predicting the order of empirical likelihoods across violation type and event setting.     

Corporate social responsibility commitment of small‐to‐medium enterprises and organizational competitive differentiation: Stakeholder pressure,market orientation,and socioeconomic context effects

This paper aims to examine the role of stakeholder pressure and market orientation in explaining the corporate social responsibility (CSR) commitments and the organizational competitive differentiation of small and medium enterprises. The socioeconomic context, that is, favorable versus unfavorable, was used as a moderator in above links. The results verify the strong influence of stakeholder's pressure on CSR commitments and the influence of stakeholder pressure and market orientation on organizational competitive differentiation. The socioeconomic context confirms to have a significant moderating role in the hypothesized links. In a favorable context, stakeholder pressure turns out to be relevant in explaining CSR commitments and the organizational competitive differentiation, and CSR commitments itself also have a significantly positive effect on organizational competitive differentiation. In an unfavorable context, market orientation provides a significantly positive support to CSR commitments and organizational competitive differentiation.