Peter A. Dacin

Bio: Peter A. Dacin is an academic researcher from Queen's University. The author has contributed to research in topics: Social entrepreneurship & Corporate branding. The author has an hindex of 22, co-authored 36 publications receiving 6332 citations. Previous affiliations of Peter A. Dacin include College of Business Administration.

Social Entrepreneurship: Why We Don't Need a New Theory and How We Move Forward From Here

Abstract: Executive Overview We examine the current state of the social entrepreneurship literature, asking what is unique about social entrepreneurship and what avenues create opportunities for the future of the field. After an evaluation of social entrepreneurship definitions and comparison of social entrepreneurship to other forms, we conclude that while it is not a distinct type of entrepreneurship, researchers stand to benefit most from further research on social entrepreneurship as a context in which established types of entrepreneurs operate. We demonstrate these opportunities by describing avenues for further inquiry that emerge when examining valuable assumptions and insights from existing theories inherent in conventional, cultural, and institutional entrepreneurship frameworks and integrating these insights in ways that address the unique phenomena that exist in the context of social entrepreneurship.

Social Entrepreneurship: A Critique and Future Directions

Abstract: Work on social entrepreneurship constitutes a field of study that intersects a number of domains, including entrepreneurial studies, social innovation, and nonprofit management. Scholars are beginning to contribute to the development of this new discipline through efforts that attempt to trace the emergence of social entrepreneurship as well as by comparing it to other organizational activities such as conventional entrepreneurship. However, as a nascent field, social entrepreneurship scholars are in the midst of a number of debates involving definitional and conceptual clarity, boundaries of the field, and a struggle to arrive at a set of relevant and meaningful research questions. This paper examines the promise of social entrepreneurship as a domain of inquiry and suggests a number of research areas and research questions for future study.

Spreading the Word: Investigating Antecedents of Consumers’ Positive Word-of-Mouth Intentions and Behaviors in a Retailing Context

Abstract: Empirical studies investigating the antecedents of positive word of mouth (WOM) typically focus on the direct effects of consumers’ satisfaction and dissatisfaction with previous purchasing experiences. The authors develop and test a more comprehensive model of the antecedents of positive. WOM (both intentions and behaviors), including consumer identification and commitment. Specifically, they hypothesize and test commitment as a mediator and moderator of satisfaction on positive WOM and commitment as a mediator of identification on WOM. Using data obtained from customers of a retailer offering both products and services, they find support for all hypothesized relationships with WOM intentions and/or WOM behaviors as the dependent variable. The authors conclude with a discussion of their findings and implications for both marketing theory and practice.

Identity, Intended Image, Construed Image, and Reputation: An Interdisciplinary Framework and Suggested Terminology

Abstract: Many scholars across various academic disciplines are investigating the following questions: What do individuals know or believe about an organization? How does a focal organization (and/or other interested entity) develop, use, and/or change this information? and How do individuals respond to what they know or believe about an organization? Cross-disciplinary research that centers on these questions is desirable and could be enhanced if researchers identify and develop consistent terminology for framing these questions. The authors work toward that end by identifying four central ‘viewpoints’ of an organization and proposing labels to represent each of these viewpoints:identity, intended image, construed image, andreputation.

The Assessment of Alternative Measures of Consumer Expertise

Abstract: This study assesses a number of different measures of consumer expertise by examining their ability to predict correct choices in three stimulus-based choice tasks and to support a number of hypotheses derived from the cognitive psychology and consumer behavior literature. The hypotheses concern how consumer expertise should affect the content and organization of knowledge for a product class and reasons for choice across different usage contexts. After a factor analysis of the different measures of consumer expertise that yielded three orthogonal factors, we used regression and TOBIT analyses to examine the effect of each factor on the number of correct choices and the hypothesized differences in the content and organization of knowledge and reasons for choice in the choice tasks. Two of the factors, “subjective/objective knowledge” and “friends owning motorcycles,” predict the number of correct choices in the stimulus-based choice tasks, while the subjective/objective-knowledge factor supports almost all of the hypothesized relationships for the content and organization of knowledge and reasons for choice. The third factor, “magazines read/motorcycles owned,” also supports many of the relationships concerning general knowledge.

Out of the Crisis

Abstract: According to W. Edwards Deming, American companies require nothing less than a transformation of management style and of governmental relations with industry. In Out of the Crisis, originally published in 1982, Deming offers a theory of management based on his famous 14 Points for Management. Management's failure to plan for the future, he claims, brings about loss of market, which brings about loss of jobs. Management must be judged not only by the quarterly dividend, but by innovative plans to stay in business, protect investment, ensure future dividends, and provide more jobs through improved product and service. In simple, direct language, he explains the principles of management transformation and how to apply them.

Marketing for management.

Abstract: MKT 6009 Marketing Internship (0 semester credit hours) Student gains experience and improves skills through appropriate developmental work assignments in a real business environment. Student must identify and submit specific business learning objectives at the beginning of the semester. The student must demonstrate exposure to the managerial perspective via involvement or observation. At semester end, student prepares an oral or poster presentation, or a written paper reflecting on the work experience. Student performance is evaluated by the work supervisor. Pass/Fail only. Prerequisites: (MAS 6102 or MBA major) and department consent required. (0-0) S MKT 6244 Digital Marketing Strategy (2 semester credit hours) Executive Education Course. The course explores three distinct areas within marketing and sales namely, digital marketing, traditional sales prospecting, and executive sales organization and strategy. The continuing convergence of the digital marketing and sales funnels has created a strategic continuum from digital lead generation to digital sales. The course identifies the current composition of this digital continuum while providing opportunities to evaluate sales and marketing digital strategies. Prerequisites: MKT 6301 and instructor consent required. (2-0) Y MKT 6301 (SYSM 6318) Marketing Management (3 semester credit hours) Overview of marketing management methods, principles and concepts including product, pricing, promotion and distribution decisions as well as segmentation, targeting and positioning. (3-0) S MKT 6309 Marketing Data Analysis and Research (3 semester credit hours) Methods employed in market research and data analysis to understand consumer behavior, customer journeys, and markets so as to enable better decision-making. Topics include understanding different sources of data, survey design, experiments, and sampling plans. The course will cover the techniques used for market sizing estimation and forecasting. In addition, the course will cover the foundational concepts and techniques used in data visualization and \"story-telling\" for clients and management. Corequisites: MKT 6301 and OPRE 6301. (3-0) Y MKT 6310 Consumer Behavior (3 semester credit hours) An exposition of the theoretical perspectives of consumer behavior along with practical marketing implication. Study of psychological, sociological and behavioral findings and frameworks with reference to consumer decision-making. Topics will include the consumer decision-making model, individual determinants of consumer behavior and environmental influences on consumer behavior and their impact on marketing. Prerequisite: MKT 6301. (3-0) Y MKT 6321 Interactive and Digital Marketing (3 semester credit hours) Introduction to the theory and practice of interactive and digital marketing. Topics covered include: online-market research, consumer behavior, conversion metrics, and segmentation considerations; ecommerce, search and display advertising, audiences, search engine marketing, email, mobile, video, social networks, and the Internet of Things. (3-0) T MKT 6322 Internet Business Models (3 semester credit hours) Topics to be covered are: consumer behavior on the Internet, advertising on the Internet, competitive strategies, market research using the Internet, brand management, managing distribution and supply chains, pricing strategies, electronic payment systems, and developing virtual organizations. Further, students learn auction theory, web content design, and clickstream analysis. Prerequisite: MKT 6301. (3-0) Y MKT 6323 Database Marketing (3 semester credit hours) Techniques to analyze, interpret, and utilize marketing databases of customers to identify a firm's best customers, understanding their needs, and targeting communications and promotions to retain such customers. Topics

Bowling alone: The collapse and revival of American community

Abstract: The present historical moment may seem a particularly inopportune time to review Bowling Alone, Robert Putnam's latest exploration of civic decline in America. After all, the outpouring of volunteerism, solidarity, patriotism, and self-sacrifice displayed by Americans in the wake of the September 11 terrorist attacks appears to fly in the face of Putnam's central argument: that \"social capital\" -defined as \"social networks and the norms of reciprocity and trustworthiness that arise from them\" (p. 19)'has declined to dangerously low levels in America over the last three decades. However, Putnam is not fazed in the least by the recent effusion of solidarity. Quite the contrary, he sees in it the potential to \"reverse what has been a 30to 40-year steady decline in most measures of connectedness or community.\"' As an example of how the current \"war on terrorism\" could generate a durable civic renewal, Putnam points to the burst in civic practices that occurred during and after World War II, which he says \"permanently marked\" the generation that lived through it and had a \"terrific effect on American public life over the last half-century.\" 3 If Americans can follow this example and channel their current civic

A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research

Abstract: A review of the literature suggests that few studies use formative indicator measurement models, even though they should. Therefore, the purpose of this research is to (a) discuss the distinction between formative and reflective measurement models, (b) develop a set of conceptual criteria that can be used to determine whether a construct should be modeled as having formative or reflective indicators, (c) review the marketing literature to obtain an estimate of the extent of measurement model misspecification in the field, (d) estimate the extent to which measurement model misspecification biases estimates of the relationships between constructs using a Monte Carlo simulation, and (e) provide recommendations for modeling formative indicator constructs.

Structural Equation Modeling

Abstract: Structural equation modeling (SEM) is a multivariate statistical framework that is used to model complex relationships between directly observed and indirectly observed (latent) variables. SEM is a general framework that involves simultaneously solving systems of linear equations and encompasses other techniques such as regression, factor analysis, path analysis, and latent growth curve modeling. Recently, SEM has gained popularity in the analysis of complex genetic traits because it can be used to better analyze the relationships between correlated variables (traits), to model genes as latent variables as a function of multiple observed genetic variants, and to assess the association between multiple genetic variants and multiple correlated phenotypes of interest. Though the general SEM framework only allows for the analysis of independent observations, recent work has extended SEM for the analysis of data on general pedigrees. Here, we review the theory of SEM for both unrelated and family data, describe the available software for SEM, and provide examples of SEM analysis.