So far, most ethical consumerism research has been contained within Western countries, thus limiting our understanding of the concept in emerging markets. Given the call for extending empirical-based knowledge for a better understanding of peculiarities, dynamics and country-level variations (i.e. social, cultural) in the context of ethical consumerism in emerging markets, this research cross-examines the interactive nature of individual- and country-level predictors of ethical consumerism in emerging and developed markets, employing a multilevel approach. At the individual level, we posit that (...) ethical consumerism is motivated by social and cultural capital. In contrast, at the contextual level, we choose country-level affluence as an influential factor that might impact the relationship between socio-cultural capital and ethical consumerism. The study uses the International Social Survey Programme’s (ISSP) 2014 citizenship module data set (including 34 countries) for investigating individual-level predictors (of social and cultural capital). The GDP per capita data from the International Monetary Fund’s (IMF) Economic Outlook database was used to examine the cross-level interactions between individual-level predictors and country-level affluence. The findings suggest that social and cultural capitals positively influence ethical consumerism in emerging and developed markets. Further, country-level affluence moderates the relationship between socio-cultural capital and ethical consumerism for both markets. However, cultural capital proved to be a stronger predictor of ethical consumerism as country-level affluence increases. The research findings highlight meaningful cross-country-level interactions that help further understand the basis of ethical consumerism from a global perspective. (shrink)

Networks pervade social and economic life, and they play a prominent role in explaining a huge variety of social and economic phenomena. Standard economic theory did not give much credit to the role of networks until the early 1990s, but since then the study of the theory of networks has blossomed. At the heart of this research is the idea that the pattern of connections between individual rational agents shapes their actions and determines their rewards. The importance of connections has (...) in turn motivated the study of the very processes by which networks are formed. In Connections, Sanjeev Goyal puts contemporary thinking about networks and economic activity into context. He develops a general framework within which this body of research can be located. In the first part of the book he demonstrates that location in a network has significant effects on individual rewards and that, given this, it is natural that individuals will seek to form connections to move the network in their favor. This idea motivates the second part of the book, which develops a general theory of network formation founded on individual incentives. Goyal assesses the robustness of current research findings and identifies the substantive open questions. Written in a style that combines simple examples with formal models and complete mathematical proofs, Connections is a concise and self-contained treatment of the economic theory of networks, one that should become the natural source of reference for graduate students in economics and related disciplines. (shrink)

The reluctant revolutionary -- The patent slave -- The golden Dane -- The quantum atom -- When Einstein met Bohr -- The prince of duality -- Spin doctors -- The quantum magician -- A late erotic outburst -- Uncertainty in Copenhagen -- Solvay 1927 -- Einstein forgets relativity -- Quantum reality -- For whom Bell's theorem tolls -- The quantum demon.

Humans are moral creatures. Among all life on Earth, we alone experience rich moral emotions, follow complex rules governing how we treat one another, and engage in moral dialogue. But how did human morality evolve? And can humans become morally evolved? -/- In A Better Ape, Victor Kumar and Richmond Campbell draw on the latest research in the biological and social sciences to explain the key role that morality has played in human evolution. They explore the moral traits that (...) humans share with chimpanzees; how a more complex moral mind enabled Homo sapiens to arise and out-compete other human species; and the place of morality alongside historic revolutions in technology and social organization. Throughout the book, Kumar and Campbell argue that morality co-evolved with intelligence and complex sociality. Morality prevents societal collapse and enables complex knowledge. -/- After unearthing the ancient origins of human morality, Kumar and Campbell use evolutionary theory to deliver profound insights about how to advance moral progress and resist moral regress, such as reducing animal suffering on industrial farms; capitalizing on the recent revolution in gay rights to foster a nascent revolution in transgender rights; opposing intersectional inequality that impacts women and people of color in lower socioeconomic classes; and addressing major problems of global inequality, especially impending crises of injustice caused by anthropogenic climate change. Understanding how we evolved--and how we continue to evolve--can help us become a better ape. (shrink)

In this article, we provide a tutorial overview of some aspects of statistical learning theory, which also goes by other names such as statistical pattern recognition, nonparametric classification and estimation, and supervised learning. We focus on the problem of two-class pattern classification for various reasons. This problem is rich enough to capture many of the interesting aspects that are present in the cases of more than two classes and in the problem of estimation, and many of the results can be (...) extended to these cases. Focusing on two-class pattern classification simplifies our discussion, and yet it is directly applicable to a wide range of practical settings. (shrink)

The Unified Medical Language System and the Gene Ontology are among the most widely used terminology resources in the biomedical domain. However, when we evaluate them in the light of simple principles for wellconstructed ontologies we find a number of characteristic inadequacies. Employing the theory of granular partitions, a new approach to the understanding of ontologies and of the relationships ontologies bear to instances in reality, we provide an application of this theory in relation to an example drawn from the (...) context of the pathophysiology of hypertension. This exercise is designed to demonstrate how, by taking ontological principles into account we can create more realistic biomedical ontologies which will also bring advantages in terms of efficiency and robustness of associated software applications. (shrink)

In _Reliable Reasoning_, Gilbert Harman and Sanjeev Kulkarni -- a philosopher and an engineer -- argue that philosophy and cognitive science can benefit from statistical learning theory, the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors -- a central topic in SLT. After discussing philosophical attempts to evade (...) the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT. (shrink)

What did science make possible for colonial rule? How was science in turn marked by the knowledge and practices of those under colonial rule? Here I approach these questions via the social history of Madras Observatory. Constructed in 1791 by the East India Company, the observatory was to provide local time to mariners and served as a clearinghouse for the company’s survey and revenue administration. The astronomical work of Madras’ Brahmin assistants relied upon their knowledge of jyotiśāstra [Sanskrit astronomy/astrology], and (...) can be seen as a specialized form of the kind of South Indian scribal labor and knowledge that also staffed the company’s tax offices. If at Greenwich the division of labor meant observatory work bore resemblances to the factory and the accounts office, in Madras, astronomy and accounting drew on similar labor forms because they were part of the same enterprise. But the company did not just adapt preexisting forms of labor, it also attempted to produce its own at a school built near the observatory to train “half-caste” orphans as apprentice surveyors and assistant computers. The school, staffed by the Brahmins, drew upon knowledge and pedagogical practice associated with the tinnai, the schools in which upper-caste children learned to read, write, and calculate. For a time, the observatory’s social order was literally “half-caste.” The paper also considers how the relationship between caste, status, and instrument was reflected in the visual and material culture of the observatory, such as in Indian-language inscriptions on its central pillar. For company astronomers, the measurement of time meant reworking the relationships among the Indian past, the colonial present, and an imperial posterity. Science under colonial rule spanned multiple temporal and social registers because it was the result of negotiations between the demands of political economy and the knowledge and practices of colonized others. (shrink)

Stochastic forecasts in complex environments can benefit from combining the estimates of large groups of forecasters (“judges”). But aggregating multiple opinions faces several challenges. First, human judges are notoriously incoherent when their forecasts involve logically complex events. Second, individual judges may have specialized knowledge, so different judges may produce forecasts for different events. Third, the credibility of individual judges might vary, and one would like to pay greater attention to more trustworthy forecasts. These considerations limit the value of simple aggregation (...) methods like linear averaging. In this paper, a new algorithm is proposed for combining probabilistic assessments from a large pool of judges. Two measures of a judge’s likely credibility are introduced and used in the algorithm to determine the judge’s weight in aggregation. The algorithm was tested on a data set of nearly half a million probability estimates of events related to the 2008 U.S. presidential election (∼ 16000 judges). (shrink)

In A. Kumar, & M. Banerjee [(2012). Definable and rough sets in covering-based approximation spaces. In T. Li. (eds.), Rough sets and knowledge technology (pp. 488–495). Springer-Verlag], A. Kumar, & M. Banerjee [(2015). Algebras of definable and rough sets in quasi order-based approximation spaces. Fundamenta Informaticae, 141(1), 37–55], authors proposed a pair of lower and upper approximation operators based on granules generated by quasiorders. This work is an extension of algebraic results presented therein. A characterisation has been presented (...) for those quasiorder-generated covering-based approximation spaces whose corresponding collections of definable and rough sets form Stone algebras. The notion of rough lattice was proposed in A. Kumar, & M. Banerjee [(2015). Algebras of definable and rough sets in quasi order-based approximation spaces. Fundamenta Informaticae, 141(1), 37–55], A. Kumar [(2020). A Study of Algebras and Logics of Rough Sets Based on Classical and Generalized Approximation Spaces. In Transactions on Rough Sets XXII, LNCS (Vol. 12485, pp. 123–251). Springer]. Some special rough lattices are introduced in this work, viz. rough Stone algebra, ∼1-complemented and ∼2-complemented rough lattices. Representations of these algebras in terms of rough sets are obtained. Moreover, logics for these algebras are shown to be sound and complete with respect to rough set semantics. (shrink)

As part of an article symposium on their “Narrow Identities”, Partha Dasgupta and Sanjeev Goyal respond to commentaries by Jean-Paul Carvalho, John B. Davis, Peter Finke, and Miriam Teschl.

It is widely understood that protein functions can be exhaustively described in terms of no single parameter, whether this be amino acid sequence or the three-dimensional structure of the underlying protein molecule. This means that a number of different attributes must be used to create an ontology of protein functions. Certainly much of the required information is already stored in databases such as Swiss-Prot, Protein Data Bank, SCOP and MIPS. But the latter have been developed for different purposes and the (...) separate data-structures which they employ are not conducive to the needed data integration. When we attempt to classify the entities in the domain of proteins, we find ourselves faced with a number of cross-cutting principles of classification. Our question here is: how can we bring together these separate taxonomies in order to describe protein functions? Our proposed answer is: via a careful top-level ontological analysis of the relevant principles of classification, combined with a new framework for the simultaneous manipulation of classifications constructed for different purposes. (shrink)

In order to consider how best to address relationship concerns with potential research participants arising in this study, we will first describe unique features...

Outcomes research in healthcare has been a topic much addressed in recent years. Efforts in this direction have been supplemented by work in the areas of guidelines for clinical practice and computer-interpretable workflow and careflow models.In what follows we present the outlines of a framework for understanding the relations between organizations, guidelines, individual patients and patient-related functions. The derived framework provides a means to extract the knowledge contained in the guideline text at different granularities, in ways that can help us (...) to assign tasks within the healthcare organization and to assess clinical performance in realizing the guideline. It does this in a way that preserves the flexibility of the organization in the adoption of the guidelines. (shrink)

Purpose Digital transformation leverages digital technologies to change current processes and introduce new processes in any organisation’s business model, customer/user experience and operational processes. Artificial intelligence plays a significant role in achieving DT. As DT is touching each sphere of humanity, AI led DT is raising many fundamental questions. These questions raise concerns for the systems deployed, how they should behave, what risks they carry, the monitoring and evaluation control we have in hand, etc. These issues call for the need (...) to integrate ethics in AI led DT. The purpose of this study is to develop an “AI led ethical digital transformation framework”. Design/methodology/approach Based on the literature survey, various existing business ethics decision-making models were synthesised. The authors mapped essential characteristics such as intensity and the individual, organisational and opportunity factors of ethics models with the proposed AI led ethical DT. The DT framework is evaluated using a thematic analysis of 23 expert interviews with relevant AI ethics personas from industry and society. The qualitative data of the interviews and opinion data has been analysed using MAXQDA software. Findings The authors have explored how AI can drive the ethical DT framework and have identified the core constituents of developing an AI led ethical DT framework. Backed by established ethical theories, the paper presents how DT pillars are related and sequenced to ethical factors. This research provides the potential to examine theoretically sequenced ethical factors with practical DT pillars. Originality/value The study establishes deduced and induced ethical value codes based on thematic analysis to develop guidelines for the pursuit of ethical DT. The authors identify four unique induced themes, namely, corporate social responsibility, perceived value, standard benchmarking and learning willingness. The comprehensive findings of this research, supported by a robust theoretical background, have substantial implications for academic research and corporate applicability. The proposed AI led ethical DT framework is unique and can be used for integrated social, technological and economic ethical research. (shrink)

Moral reasoning and arguments are truly a driving force for social change in politics. Without it, progress is impossible. The key is patience, persistence, and mutual respect. Under the right conditions, moral arguments can move mountains — slowly but surely.

The problem of induction is sometimes motivated via a comparison between rules of induction and rules of deduction. Valid deductive rules are necessarily truth preserving, while inductive rules are not.

ABSTRACT Tests which predict the sex of a fetus have led to female feticide in India, and hence to demands that such tests be banned. This paper examines the arguments for banning such tests. These will depend partly on one's views regarding the morality of feticide: different views are discussed. However the morality of feticide is not the only relevant consideration, especially since it may become possible to choose the sex of the child at conception. Whether or not parents have (...) the right to freedom of choice and information is analysed. Many non‐western societies have special problems since the strong preference for boys may lead to the neglect of female children and to female infanticide. In heavily populated countries like India and China the need to control population growth is an additional complication. The paper concludes that in these societies the case for banning tests is weak. (shrink)

This book presents and argues for a suitably articulated version of consensualism as a form of Kantian moral theory with an ability to powerfully illuminate the moral intuitions to which Kantian and utilitarian theories have traditionally appealed.

In this paper, we employ bibliometric analysis to empirically analyse the research on social entrepreneurship published between 1996 and 2017. By employing methods of citation analysis, document co-citation analysis, and social network analysis, we analyse 1296 papers containing 74,237 cited references and uncover the structure, or intellectual base, of research on social entrepreneurship. We identify nine distinct clusters of social entrepreneurship research that depict the intellectual structure of the field. The results provide an overall perspective of the social entrepreneurship field, (...) identifying its influential works and analysing scholarly communication between these works. The results further aid in clarifying the overall centrality features of the social entrepreneurship research network. We also examine the integration of ethics into social entrepreneurship literature. We conclude with a discussion on the structure and evolution of the social entrepreneurship field. (shrink)

(2014). The Rāga Bhāva in the Sāṁkhya Kārikā: Rectifying an Age-Old Mistake. Asian Philosophy: Vol. 24, No. 2, pp. 133-146. doi: 10.1080/09552367.2014.917831.

These essays, by widely respected scholars in fields ranging from social and political theory to historical sociology and cultural studies, illuminate the significance of the public/private distinction for an increasingly wide range of ...

I propose a leadership theory with moral concerns at its core. Sāttvika leadership is defined as a set of purposive leader actions comprising knowledge-driven cooperation that are initiated on the basis of positive and reasonably accurate assumptions and executed through morally responsible and sustainably fruitful means to secure the flourishing of followers and the collective. SL enhances psychological capital, psychological empowerment, and work engagement of followers while developing them into morally better persons. It enhances their trust on the leader and (...) fellow followers. Further, it develops ethical climate of the organization. (shrink)

Indian psychology scholars have primarily focused on developing triguṇa-based personality models. However, triguṇa-based personality models are not epistemologically consistent with Sāṁkhya. This article offers a bhāva-based conception of personality that is epistemologically consistent with Sāṁkhya. It proposes svabhāva as a personality-like construct that refers to individual-specific arrangements of prākṛtika and vaikṛtika bhava. This article contributes to both Indian psychology and Sāṁkhya scholarship.

��The Coherent Approximation Principle (CAP) is a method for aggregating forecasts of probability from a group of judges by enforcing coherence with minimal adjustment. This paper explores two methods to further improve the forecasting accuracy within the CAP framework and proposes practical algorithms that implement them. These methods allow flexibility to add fixed constraints to the coherentization process and compensate for the psychological bias present in probability estimates from human judges. The algorithms were tested on a data set of nearly (...) half a million probability estimates of events related to the 2008 U.S. presidential election (from about 16000 judges). The results show that both methods improve the stochastic accuracy of the aggregated forecasts compared to using simple CAP. (shrink)

The objective of the paper is to implement and validate diagnosis in the medical field via refined neutrosophic fuzzy logic (RNFL). As such, we have proposed a Max-Min composition (MMC) method in RNFL. This method deals with the diagnosis under certain constraints like uncertainty and indeterminacy. Further, we have considered the diagnosis problems to validate the sensitivity analysis of the novel multi attribute decision-making technique. Finally, we gave the graphical representations and compared the obtained results with other existing measures in (...) refined neutrosophic fuzzy sets. (shrink)

An important part of the Unified Medical Language System (UMLS) is its Semantic Network, consisting of 134 Semantic Types connected to each other by edges formed by one or more of 54 distinct Relation Types. This Network is however for many purposes overcomplex, and various groups have thus made attempts at simplification. Here we take this work further by simplifying the relations which involve the three Semantic Types – Diagnostic Procedure, Laboratory Procedure and Therapeutic or Preventive Procedure. We define operators (...) which can be used to generate terms instantiating types from this selected set when applied to terms designating certain other Semantic Types, including almost all the terms specifying clinical tasks. Usage of such operators thus provides a useful and economical way of specifying clinical tasks. The operators allow us to define a mapping between those types within the UMLS which do not represent clinical tasks and those which do. This mapping then provides a basis for an ontology of clinical tasks that can be used in the formulation of computer-interpretable clinical guideline models. (shrink)

Consumers are increasingly facing product evaluation and choice situations that include information about product sustainability, i.e., information about a product’s relative environmental and social impact. In many cases, consumers have to make decisions that involve a trade-off between product sustainability and other valued product attributes. Similarly, product and marketing managers need to make decisions that reflect how consumers will respond to different trade-off scenarios. In the current research, we study consumer responses across two different possible trade-off scenarios: one in which (...) consumers face a trade-off between product sustainability and hedonic value, and another in which they must trade-off between product sustainability and utilitarian value. Our results suggest that, overall, consumers are more likely to trade-off hedonic value for sustainability than to trade-off utilitarian value for sustainability. In Studies 1A and 1B, we presented participants with a product choice task and also measured their anticipatory emotions as they contemplated their options. The results suggest that given a trade-off, consumers are more likely to choose a sustainable product when they have to trade-off hedonic value than when they have to trade-off utilitarian value. Further, these studies provide some insight into the emotions underlying this effect. In Study 2, we use a different consumer response measure, relative purchase likelihood, and investigate the effect of trade-off type across categories that vary in the degree to which hedonic and utilitarian attributes are perceived to be important. Our results suggest that the effect of trade-off type still holds, yet is moderated by product type such that consumers’ greater willingness to trade-off hedonic value for sustainability is attenuated as the relative importance of hedonic attributes increases. In addition to building on our theoretical understanding of decision making given trade-offs with moral attributes, this research is also intended to support managers as they define and choose among various strategic, product development, and marketing promotion options. (shrink)

This paper provides a paradigm for evaluating the factors that affect the development of a global code of ethics in marketing. Based on a review of the literature pertaining to global codes of ethics, we examined the potential for the development and acceptance of a universal code of ethics in the international marketing arena. Towards that end, we suggest that any global code of ethics in marketing should consider two levels – normative guidelines and specific behaviors. A discussion detailing the (...) factors that can impede the development of such a two-tiered code is included as well. Those factors being moral reasoning, organizational ethical climate, level of economic development and cultural dimensions. Finally, the feasibility and the possible outcomes of a global code of ethics in marketing is examined. (shrink)

We provide a methodology for the creation of ontological partitions in biomedicine and we test the methodology via an application to the phenomenon of blood pressure. An ontology of blood pressure must do justice to the complex networks of intersecting pathways in the organism by which blood pressure is regulated. To this end it must deal not only with the anatomical structures and physiological processes involved in such regulation but also with the relations between these at different levels of granularity. (...) For this purpose our ontology offers a variety of distinct partitions � of substances, processes and functions � and integrates these together within a single framework via transitive networks of part-whole and dependence relations among the entities in each of these categories. The paper concludes with a comparison of this methodology with the approaches of GOTM, KEGG, DIP and BIND and provides an outline of how the methodology is currently being applied in the field of biomedical database integration. (shrink)

Philosophical Investigations, Volume 45, Issue 3, Page 297-319, July 2022.

The past 15 years occasioned an extraordinary blossoming of research into the cognitive and affective mechanisms that support moral judgment and behavior. This growth in our understanding of moral mechanisms overshadowed a crucial and complementary question, however: How are they learned? As this special issue of the journal Cognition attests, a new crop of research into moral learning has now firmly taken root. This new literature draws on recent advances in formal methods developed in other domains, such as Bayesian inference, (...) reinforcement learning and other machine learning techniques. Meanwhile, it also demonstrates how learning and deciding in a social domain—and especially in the moral domain—sometimes involves specialized cognitive systems. We review the contributions to this special issue and situate them within the broader contemporary literature. Our review focuses on how we learn moral values and moral rules, how we learn about personal moral character and relationships, and the philosophical implications of these emerging models. (shrink)

Felicitas Goodman (1990) observed that naive participants experienced unique trance states, characterized by specific visionary content, when they assumed particular postures and listened to monotonous rattling. Students (n = 284), enrolled in various sections of the course Introduction to Psychology, experienced one of four conditions with their eyes closed: Sitting Quietly with and without Drumming, Standing (Feather Serpent) Posture plus Drumming with and without Suggested Experiences. Participants completed the Phenomenology of Consciousness Inventory (Pekala 1982, 1991c) and wrote narratives following their (...) respective stimulus conditions. Participants reported less imagery, joy, and absorption, but more internal dialogue, self‐awareness, and muscular tension in the posture, compared to the sitting quietly, conditions. Goodman's results of specific posture (content‐related) effects with naive participants were not replicated. (shrink)

Formal principles governing best practices in classification and definition have for too long been neglected in the construction of biomedical ontologies, in ways which have important negative consequences for data integration and ontology alignment. We argue that the use of such principles in ontology construction can serve as a valuable tool in error-detection and also in supporting reliable manual curation. We argue also that such principles are a prerequisite for the successful application of advanced data integration techniques such as ontology-based (...) multi-database querying, automated ontology alignment and ontology-based text-mining. These theses are illustrated by means of a case study of the Gene Ontology, a project of increasing importance within the field of biomedical data integration. (shrink)