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The purpose of this paper is to demonstrate how a web‐based virtual ideation tool, dialogr.com, can be used to capture insights from consumers and to gain an understanding of consumer satisfaction with package design during and after product use. The authors also demonstrate how the resulting rich qualitative data can be combined with output from traditional survey research, to provide insight into the impact of satisfaction with package design on purchase intent.

A mixed‐methods approach was employed that captured qualitative insights from a large number of consumers regarding their experience using product packaging and combined the quantitative rigor of survey research to capture brand familiarity and perceptions, as well as brand preference and loyalty.

Results demonstrate that design is important to consumers and also that consumers are increasingly design literate. The perceived quality of the package design does impact brand evaluation. Negative reactions to product packaging adversely impacted intent to purchase and intent to recommend the product to others.

Results show that the mixed model is a promising method for gaining feedback on new package designs. Substantive implications include: design drives purchase, consumers want to be involved in design, and getting user input on design is important.

Consumer packaged goods companies often test packaging prototypes in a limited way – they either ignore qualitative measurement completely or use small sample focus groups. This quali‐quant method offers two advantages over the methodologies most commonly used to study package design; it has the capacity to engage large numbers of consumers and it can be set up to gather data from consumers during or immediately after product use.

As an aid to understanding brand image and brand attitude, this paper aims to present an innovative method of capturing qualitative brand associations from very large virtual groups.

From the target market, two familiar brands were selected: one more favored and one less favored by the market segment. Two samples of respondents engaged in a collaborative, virtual ideation session designed to elicit “top of mind” brand associations for two fast food brands, McDonald's and In‐N‐Out. Members of each group posted their brand associations and then rated each other's associations on the basis of agreement.

Analysis provided by dialogr.com showed sharp differences between the two brand images. To independently assess brand attitude, two judges evaluated favorability of the free associations as either “good,” “neutral,” or “bad.” The results confirmed initial expectations. The more favored brand received considerably more favorable free associations than did the less favored brand. The results are shown in qualitative word maps.

A potential limitation of this paper is that the proposed qualitative method is more applicable to well‐known, familiar brands; thus these techniques may not work as well with less familiar brands.

Virtual collaboration tools provide a proficient method of measuring brand image and brand attitudes, for very large groups. These tools are well suited for gaining greater understanding of the cognitive and affective dimensions of a realized brand position (image) as well as an aid to re‐positioning an errant brand image.

Most qualitative group interviews are limited to a small number of respondents, ranging from five to 12 people. Virtual ideation sessions, which are designed to elicit “top of mind” brand associations, enable collection of qualitative data from large groups quickly and efficiently; without the negative influences of face‐to‐face group interaction.

This paper aims to study how corporate social responsibility (CSR) behaviors can lead to corporate membership on Fortune Magazine’s Most Admired Companies list.

Regression analysis using environmental, social and governance (ESG) statistics published by MSCI-KLD as independent variables to predict the behaviors that lead to most admired status.

Not surprisingly, corporate financial performance (CFP) is the largest contributor to membership on the list. However, after controlling for CFP, the analysis finds that specific social responsibility behaviors contribute to membership on the Fortune list.

This paper finds that CSR behaviors are important to a firm’s reputation as measured by Fortune’s Most Admired Companies list. Therefore, companies should continue with social responsibility activities to improve their reputation with investors.

Many articles test the effect of ESG on financial performance and the role of financial performance on stock price. This paper is unique in that it measures the impact of CSR on corporate reputation using an important financial market benchmark – the Fortune Most Admired Companies list.

This paper aims to examine the sources of consumer‐brand relationship investment, specifically isolating the sources and outcomes of communality and exchange relationship characteristics.

The paper utilizes a survey‐based empirical study and subsequent structural modeling approach to test a series of hypotheses concerning how brand performance perceptions influence the development of consumer relationship connections.

The paper finds that perceptions of product performance and service quality influence the development of brand reliability and brand fidelity respectively. Similarly, brand reliability is the primary source of an exchange orientation, while brand fidelity leads to communal brand connections and, ultimately, consumer‐brand relationship investment.

This research is limited by the scope of the sample, fast food restaurants. Future research should explore consumer relationship investment in other product and service categories in order to determine the extent to which relationship development processes vary by product category.

Brands that wish to develop enduring relationships with their customers must understand the relative impact of both personal and functional (exchange) relationship characteristics on the development of relationship investment. Each has a specific role to play and the roles of each vary at different relationship stages.

This research offers at least three significant contributions to the marketing discipline and marketing practice. First, it introduces constructs and associated scales for brand fidelity, communality, exchange and relationship investment. Second, it demonstrates how brand service and product performance differentially contribute to two dimensions of consumer‐brand relationships. Finally, it describes three discrete relationship development stages that play specific roles in the evolution of consumer‐brand relationship investment.

Mixed logit models can represent heterogeneity across individuals, in both observed and unobserved preferences, but require computationally expensive calculations to compute probabilities. A few methods for including error covariance heterogeneity in a closed form models have been proposed, and this paper adds to that collection, introducing a new form of a Network GEV model that sub-parameterizes the allocation values for the assignment of alternatives (and sub-nests) to nests. This change allows the incorporation of systematic (nonrandom) error covariance heterogeneity across individuals, while maintaining a closed form for the calculation of choice probabilities. Also explored is a latent class model of nested models, which can similarly express heterogeneity. The heterogeneous models are compared to a similar model with homogeneous covariance in a realistic scenario, and are shown to significantly outperform the homogeneous model, and the level of improvement is especially large in certain market segments. The results also suggest that the two heterogeneous models introduced herein may be functionally equivalent.

The purpose of this paper is to longitudinally test the propositions of the Electronic Market Hypothesis (EMH) within the context of the US home mortgage industry.

The paper uses a deductive, positivist case study, through a systematic examination of “texts” in the trade press over three time periods: 1995‐1999, 2000‐2002, and 2003‐2007.

EMH propositions, while generally not found to be valid in the early years, were more consistent with evidence in the home mortgage industry in the later period.

Throws fresh light on the debate between the appropriateness and the inappropriateness of the EMH as a core theory explaining the influence of Information Technology on market and industry structures.

Designing of corporate strategies to foster efficient market mechanisms.

Using a relatively uncommon (analysis of primary data from trade press articles) qualitative research methodology which could serve as a guideline for future research. This approach offers opportunities to use various trade press sources to perform studies on the effects of IT on people, such as analyzing how IT departments are adapting their governance practices as workers increasingly use personal computing devices to access organizational assets (e.g., networks, applications, and data).

Terrorism has been practiced for centuries in different countries throughout the globe. The international struggle against terrorism started in the early part of the last century, and in 1937, the League of Nations concluded a Convention on the Prevention and Punishment of Terrorism. It is now well established in customary international law that since piracy, slavery, war crimes, and crimes against humanity are so terrible and affect the peace, tranquility, and security of all States, any State has the right to try persons for these crimes, irrespective of their nationality or where the crime was committed. This is known as universal jurisdiction. Terrorism is not quite in that category, one reason being the lack of international agreement on a comprehensive definition of terrorism. Instead, universal treaties adopted by the United Nations (UN) specializes agencies and, more recently Chapter VII measures of the UN Secretary Council, have been the means by which international law contributes to the struggle against terrorism. This aspect is discussed in a Section. Besides, today, the impact of terrorism in maintaining law and order, in assuring peace and tranquility to law-abiding citizenry and in harnessing growth and development, both at the national and international level, is quite grave, gloomy, and alarming. Global terrorism has, in fact, become an unprecedented challenge to the human civilization itself. The present chapter tries to examine the nature of terrorism at the global level with special reference to India and proposes for formation of international laws and co-ordinations to combat it.

This study examines the use of linear regressions that include interaction terms, finding frequent interpretation errors in published accounting research. We provide insights on how to estimate, interpret, and present interactive regression models, and explain seldom-used but easily-implemented methods to report conditional marginal effects. We also examine the use of interaction terms in tax and financial reporting trade-off studies, evaluating the conceptual fit between a regression model with interactions and alternative definitions of trade-off. Although we advocate the use of interactive models, noise levels common in accounting research greatly reduce the ability to detect interaction effects.