IoT Value Creation Through Supply Chain Analytics Capability

Business Intelligence and Analytics (BI&A) systems form the key information processing artifact that enables firms to process, store, and use the data generated by the Internet of Things (IoT) in the supply chain context. We empirically investigate how firms create value from IoT through a ‘capability creation’ path model for Supply Chain Analytics Capability. Partial least square analysis of primary survey data collected from 127 firms in India provides two key findings: 1) a modular system architecture and decentralized governance across supply chain partners are important precursors to build a robust Supply Chain Analytics Capability which can utilize IoT based data 2) Supply Chain Analytics Capability influences Firm Performance in two ways - directly, through Supply Chain Integration, and interactively with Supply Chain Integration. Overall, this study establishes the antecedents and consequences of Supply Chain Analytics Capability, which is an important precursor to value creation through IoT

An Integrated Model of Business Intelligence & Analytics Capabilities and Organizational Performance

Organizations can leverage business intelligence and analytics (BI&A) to transform themselves through a holistic integration process. Contrary to this proposition, many organizations implement BI&A without aligning or integrating it with organizational strategies. Some implement BI&A in a very ad hoc manner without any plans to leverage it. From a research point of view, we lack an integrated framework that can inform both academics and practitioners about adroit applications with business intelligence and analytics capabilities in organizations. We examine what significant BI&A capabilities organizations need to create value from BI&A. We conceptualize second-order constructs that affect the BI&A value-creation process: innovation infrastructure capability, customer process capability, business-to-business (B2B) process capability, and integration capability. We propose that these higher-order BI&A capabilities influence organizational performance through BI&A effectiveness’s the mediation effect. We developed a questionnaire instrument and collected data from 154 firms in India. Partial least squares analysis provides broad support for our hypotheses. Our contributions include identifying and empirically assessing key BI&A capabilities that directly impact how effectively an organization implements BI&A

SPEAR : Semi-supervised Data Programming in Python

We present SPEAR, an open-source python library for data programming with semi supervision. The package implements several recent data programming approaches including facility to programmatically label and build training data. SPEAR facilitates weak supervision in the form of heuristics (or rules) and association of noisy labels to the training dataset. These noisy labels are aggregated to assign labels to the unlabeled data for downstream tasks. We have implemented several label aggregation approaches that aggregate the noisy labels and then train using the noisily labeled set in a cascaded manner. Our implementation also includes other approaches that jointly aggregate and train the model for text classification tasks. Thus, in our python package, we integrate several cascade and joint data-programming approaches while also providing the facility of data programming by letting the user define labeling functions or rules. The code and tutorial notebooks are available at https://github.com/decile-team/spear. Further, extensive documentation can be found at https://spear-decile.readthedocs.io/. Video tutorials demonstrating the usage of our package are available here. We also present some real-world use cases of SPEAR.Comment: EMNLP Demonstrations - 202

Interesting Case of Opalski Syndrome a Variant of Lateral Medullary Syndrome

ABSTRACT Lateral medullary (or Wallenberg's) syndrome is characterized by vertigo, diplopia, dysarthria, Horner`s syndrome, numbness (ipsilateral face and contralateral limb) and traditionally it is not associated with any limb weakness. Localization in this syndrome is easy because of characteristic presentation, exclusive blood supply and very small area of involvement. In our case patient had features of lateral medullary syndrome with ipsilateral hemiparesis .In Opalski syndrome hemiplegia is ipsilateral due to the extension of the infarct caudally to involve the corticospinal fibers after the pyramidal decussation. Opalski syndrome is a rare variant of Wallenberg's syndrome with ipsilateral hemiparesis. It should not be diagnosed in the absence of hyperreflexia or Babinski sign. Excessive alcohol intake may play a role in the etiopathogenesis of posterior circulation stroke

Diversifying vegetable production systems for improving the livelihood of resource poor farmers on the East Indian Plateau

Failure of the rice crop, or low rice yield has dire consequences for rice-dependent households, including food insecurity and malnutrition, for India’s poorest farmers in the East Indian Plateau region. Crop diversification could reduce the risks of rice production from the vagaries of rainfall and provide cash income which is not generated from subsistence rice. Being the primary household laborers women bear the brunt of these difficult conditions in patriarchal societies. For this reason we engaged with the women farmers in Bokaro and West Singhbhum in the State of Jharkhand, and Purulia in West Bengal who participated in experiments conducted with vegetable crops and legumes in the upland and medium uplands where the traditional crop is broadcasted paddy rice. We explored four different vegetable systems, (i) cucurbits (rainy/kharif) (season—June to September), (ii) growing tomatoes in the “off season” (rainy season—July to October), (iii) growing legume crops in rotation with direct sown rice (dry/rabi season—November to January), and (iv) intercropping beans with maize (rainy season—June to September). The results showed that all the above crops proved much better in terms of income to the farmers, return per person day, although the input cost varied it was higher with the new systems explored. The research with the small-holding women farmers enabled them to try new options and make informed decisions about these opportunities. This study showed that farmers can increase crop diversity and expand the area sown to non-paddy crops. The farmers are now looking for new crops where the demand exceeds the supply. Importantly this study has demonstrated that the direct involvement of communities’ in research enables the farmers to sustainability explore solutions to the future problems with limited support from the external agencies

Exploring the Darkverse:A Multi-Perspective Analysis of the Negative Societal Impacts of the Metaverse

The Metaverse has the potential to form the next pervasive computing archetype that can transform many aspects of work and life at a societal level. Despite the many forecasted benefits from the metaverse, its negative outcomes have remained relatively unexplored with the majority of views grounded on logical thoughts derived from prior data points linked with similar technologies, somewhat lacking academic and expert perspective. This study responds to the dark side perspectives through informed and multifaceted narratives provided by invited leading academics and experts from diverse disciplinary backgrounds. The metaverse dark side perspectives covered include: technological and consumer vulnerability, privacy, and diminished reality, human–computer interface, identity theft, invasive advertising, misinformation, propaganda, phishing, financial crimes, terrorist activities, abuse, pornography, social inclusion, mental health, sexual harassment and metaverse-triggered unintended consequences. The paper concludes with a synthesis of common themes, formulating propositions, and presenting implications for practice and policy.</p