Mayukh Dass - Academia.edu (original) (raw)

Papers by Mayukh Dass

Lecture Notes in Computer Science, 2002

The following paper describes recent work on NED-2, an intelligent information system for ecosyst... more The following paper describes recent work on NED-2, an intelligent information system for ecosystem management currently in development by the USDA Forest Service. Using knowledge bases created by forestry experts and inference engines, NED-2 evaluates forest inventories according to a set of predefined goals. By integrating third-party simulation and visualization packages, NED-2 allows the user to plan, predict, and assess forest treatment scenarios. NED-2 is a blackboard system featuring agents implemented in PROLOG. Inventory, data calculation, and forest management plan creation modules are implemented in C++. The primary storage medium of NED-2 is a set of relational databases. The present paper focuses upon an issue of central importance to the project: the integration of PROLOG and relational databases to form the blackboard of NED-2.

Intelligent Information Processing, 2002

For many years we have held to the notion that an Intelligent Information System (IIS) is compose... more For many years we have held to the notion that an Intelligent Information System (IIS) is composed of a unified knowledge base, database, and model base. The main idea behind this notion is the transparent processing of user queries. The system is responsible for "deciding" which information sources to access in order to fulfil a query regardless of whether this involves a data retrieval, an inference, a computational method, a problem solving module, or some combination of these. The NED IIS project is an effort to develop a robust, intelligent, goal-driven forest ecosystem management system to help forest managers plan and achieve wildlife, ecological, water, landscape, and timber goals. NED, using a blackboard architecture dominated by semi autonomous intelligent agents, integrates a core database, domain knowledge, meta-knowledge, and a GUI with external (possibly distributed) legacy and special purpose (heterogeneous) information sources. The current version of NED is NED-2. NED-2 is still under construction, however a prototype incorporating the major components of the architecture has been completed and demonstrated.

Journal of Service Research, 2014

Journal of the Academy of Marketing Science, 2015

ABSTRACT In this digital era, marketing theory and practice are being transformed by increasing c... more ABSTRACT In this digital era, marketing theory and practice are being transformed by increasing complexity due to information availability, higher reach and interactions, and faster speeds of transactions. These have led to the adoption of intelligent agent technologies (IATs) by many companies. As IATs are relatively new and technologically complex, several definitions are evolving, and the theory in this area is not yet fully developed. There is a need to provide structure and guidance to marketers to further this emerging stream of research. As a first step, this paper proposes a marketing-centric definition and a systematic taxonomy and framework. The authors, using a grounded theory approach, conduct an extensive literature review and a qualitative study in which interviews with managers from 50 companies in 22 industries reveal the importance of understanding IAT applications and adopting them. Further, the authors propose an integrated conceptual framework with several propositions regarding IAT adoption. This research identifies the gaps in the literature and the need for adoption of IATs in the future of marketing given changing consumer behavior and product and industry characteristics.

The financial landscape has changed significantly in the past five decades. The explosion of the ... more The financial landscape has changed significantly in the past five decades. The explosion of the mutual fund industry and changes in pension plans toward self-directed 401(k) type retirement vehicles have placed the risk of investing on individuals. These changes have increased the need for financial planners to accurately assess their clients' financial risk tolerance. Previous studies have shown that women are less risk tolerant than men (Bajtelsmit The financial risk tolerance of married couples was examined in order to determine if assertiveness impacted their financial decisions. Education, gender, asset ownership, relative income, and the wife's cohort were considered to ascertain the possible influence of these factors on a couple's assertiveness. Data were obtained from 110 couples using the Path 6 Profile and the Couples' Risk Tolerance Questionnaire. Although asset ownership and the wife's cohort affected the couple's assertiveness, assertiveness itself did not notably impact their combined financial or portfolio risk tolerance. However, wife's assertiveness did show a positive correlation with couple's mean age and a negative correlation with husband's income. Implications include communication strategies for couples when the wife was born between 1946 -1967, has earned an advanced degree, and has had significant financial contribution to the family.

Journal of Consumer Marketing, 2015

ABSTRACT Purpose: The purpose of this study is to examine how product recalls affect brand commit... more ABSTRACT Purpose: The purpose of this study is to examine how product recalls affect brand commitment and post-recall purchase intention. Design/methodology/approach: The role of consumer and product recall characteristics based on attribution theory is tested using data collected through experiments and analyzed using a type of finite mixture model. Findings: Results indicate varying effects of product recalls on commitment across these four customer groups and a strong effect of affective commitment on post-recall purchase behavior. Originality/value: This paper proposes four types of consumers based on dichotomous levels of affective and calculative commitment, namely, Hard Cores, Don’t-Cares, Lovers, and Rationalists, and shows how product recalls affect these consumer groups differently, and how this information assists brand managers in developing post product recall consumer management strategies.

Journal of Retailing, 2014

The marketing literature provides a solid understanding of auctions regarding final sales prices ... more The marketing literature provides a solid understanding of auctions regarding final sales prices and many aspects of the processes that unfold to result in those outcomes. This research complements those perspectives by first presenting a new bidder behavior model that shows the role of emergent network ties among bidders on the auction outcome. Dyadic ties are identified as the bid and counter-bid patterns of interactions between bidders that unfold throughout the duration of an auction. These structures are modeled using network analyses, which enables: (1) a richer understanding of detailed auction processes, both within auctions and across auctions of multiple lots, (2) a mapping of the processes to the forecast of prices and the trajectory toward final sales prices, (3) the clear and early identification of key bidders who are influential to the bidding action and who impact final auction sales prices, and (4) the results clearly show that the network exchange patterns are significant and contribute to an understanding of auction processes and outcomes above and beyond simple economic predictors such as the number of bids or bidders or the bidders' economic status. We conclude by providing some managerial implications for online auction houses and bidders.

State-of-the-Art Decision-Making Tools in the Information-Intensive Age, 2008

Empirical research in the field of electronic commerce has been growing fast due to the availabil... more Empirical research in the field of electronic commerce has been growing fast due to the availability of rich, high-quality data. Ecommerce data originates from many different behavioral, social, or economic processes and interactions online which have not been observable and measurable in the offline world. This data-rich environment allows for the questioning of existing theories and the uncovering of new phenomena. However, eCommerce data, and the new research questions associated with this data, are often not supported by classic statistical machinery. New dependency structures arise due to factors such as online competition and user interaction. In this paper, we discuss three key aspects of eCommerce data: eCommerce process dynamics, competition between processes, and user networks. Each data-structure raises new challenges for data representation, visualization, and modeling, and we describe each of them in detail. We also present three case studies that showcase the various statistical challenges and present some solutions.

The global art market has undergone a huge transition in the last decade leading to the creation ... more The global art market has undergone a huge transition in the last decade leading to the creation of new art hedge funds, art mutual funds, and art online auction sites. The increasing interest in the overall art market has also helped popularize emerging art markets such as Indian contemporary art. In this paper we focus on simultaneous online auctions (SOA) for Indian contemporary art. SOAs sell high-value items in auctions that take place simultaneously and are different from popular individual auctions (e.g. eBay) in multiple ways and in particular in that they induce high levels of competition both within and between auctions. The SOA art marketplace has the promise of extremely high profits but also the risk of high losses if not monitored carefully. Forecasting price during an ongoing SOA is therefore important to auction house managers, who can make real-time decisions and intervene while an auction is in progress.

A slogan is an integral component of a brand's advertising platform that helps shape its identity... more A slogan is an integral component of a brand's advertising platform that helps shape its identity and define its positioning. While prior literature has focused on the recall of slogans, knowledge regarding why consumers like some slogans more than others is still limited. This paper uses data from a large field study to explore the key factors that determine the likeability of slogans. It uses a bilinear mixed model to assess the relative importance of slogan characteristics, media expenditure, and respondent characteristics as antecedents of slogan likeability. The findings suggest that the liking for a slogan may be unrelated to media expenditure, and driven largely by the clarity of the message, the exposition of the benefits, rhymes, and creativity. Further, in sharp contrast to industry practice and conventional belief, the study finds that jingles or brevity have no systematic effects on the likeability of slogans.

Journal of Probability and Statistics, 2010

Simultaneous online auctions, in which the auction of all items being sold starts at the same tim... more Simultaneous online auctions, in which the auction of all items being sold starts at the same time and ends at the same time, are becoming popular especially in selling items such as collectables and art pieces. In this paper, we analyze the characteristics of bidders Reactors in simultaneous auctions who update their preauction value of an item in the presence of influencing bidders Influencers . We represent an auction as a network of bidders where the nodes represent the bidders participating in the auction and the ties between them represent an Influencer-Reactor relationship. We further develop a random effects bilinear model that is capable of handling covariates of both bidder types at the same time and account for higher-order dependence among the bidders during the auction. Using the model and data from a Modern Indian Art auction, we find that Reactors tend to update their values on items that have high preauction estimates, bid on items created by high investment risk artists, bid selectively only on certain items, and are more active in the second half of the auction. Implications for the auction house managers are discussed.

Lecture Notes in Computer Science, 2003

Intrusion Detection is one of the crucial real-time problems in the field of computer networking.... more Intrusion Detection is one of the crucial real-time problems in the field of computer networking. With the changing technology and the exponential growth of Internet traffic, it is becoming difficult for any existing intrusion detection system to offer a reliable service. ...

Ideas in Marketing: Finding the New and Polishing the Old, 2014

Statistical Methods in e-Commerce Research, 2008

SSRN Electronic Journal, 2000

... A Bilinear Mixed Model Mayukh Dass∗ ... Mayukh Dass is a doctoral candidate at the Terry Coll... more ... A Bilinear Mixed Model Mayukh Dass∗ ... Mayukh Dass is a doctoral candidate at the Terry College of Business, University of Georgia (107 Brooks Hall, Terry College of Business, University of Georgia, Athens, GA 30602; Phone: 706 542 4531; email: dass@uga.edu). ...