The Impact of Ethical Ideologies,Moral Intensity,and Social Context on Sales-Based Ethical Reasoning

Previous research indicates that ethical ideologies, issue-contingencies, and social context can impact ethical reasoning in different business situations. However, the manner in which these constructs work together to shape different steps of the ethical decision-making process is not always clear. The purpose of this study was to address these issues by exploring the influence of idealism and relativism, perceived moral intensity in a decision-making situation, and social context on the recognition of an ethical issue and ethical intention. Utilizing a sales-based scenario and multiple ethics measures included on a self-report questionnaire, data were collected from a regional sample of business students, most of whom had modest work experience. The results indicated that perceived moral intensity was associated with increased ethical issue recognition and ethical intention. Idealism was also associated with increased ethical issue recognition, and relativism was associated with decreased ethical intention. Social consensus was positively related to ethical issue recognition and intention, while competitive context was inversely related to ethical intention. Finally, ethical issue recognition was associated with increased ethical intention. Idealism, moral intensity, social consensus, and work experience worked together as predictors of ethical issue recognition, whereas recognition of an ethical issue, relativism, moral intensity, social consensus, and competitive context worked together to predict ethical intention.     

The impact of the introduction and use of an informational website on offline customer buying behavior

Do customers increase or decrease their spending in response to the introduction of an informational website? To answer this question, this study considers the effects of the introduction and use of an informational website by a large national retailer on offline customer buying behavior. More specifically, we study a website's effects on the number of shopping trips and the amount spent per category per shopping trip. The model is calibrated through the estimation of a Poisson model (shopping trips) and a type-II tobit model (the amount spent per category per shopping trip), with effect parameters that vary across customers. For the focal retailer, an informational website creates more bad than good news; most website visitors engage in fewer shopping trips and spend less in all product categories. The authors also compare the characteristics of shoppers who exhibit negative website effects with those few shoppers who show positive effects and thus derive key implications for research and practice.     

Value Congruence and Charismatic Leadership in CEO–Top Manager Relationships: An Empirical Investigation

Although charismatic leadership theorists have long argued that leader–follower value congruence plays a central role in the development of charismatic relationships, few studies have tested this proposition. Using data from two studies involving a total of 329 CEOs and 1807 members of their top management teams, we tested the hypothesis that value congruence between leaders and their followers is empirically linked to follower perceptions of the charisma of their leader. Consistent with a relational perspective on charismatic leadership, strong support was found for the hypothesis that perceived value congruence between leaders (CEOs) and their followers (members of their top management teams) is positively related to follower perceptions of the degree of charisma possessed by the leader. Conversely, only limited support was found for the hypothesis that actual value congruence is linked to perceptions of charismatic leadership. Implications of these findings for research and practice are discussed.     

Perceived Organizational Motives and Consumer Responses to Proactive and Reactive CSR

Corporate social responsibility (CSR) has emerged as an effective way for firms to create favorable attitudes among consumers. Although prior research has addressed the direct influence of proactive and reactive CSR on consumer responses, this research hypothesized that consumers’ perceived organizational motives (i.e., attributions) will mediate this relationship. It was also hypothesized that the source of information and location of CSR initiative will affect the motives consumers assign to a firms’ engagement in the initiative. Two experiments were conducted to test these hypotheses. The results of Study 1 indicate that the nature of a CSR initiative influences consumer attribution effects and that these attributions act as mediators in helping to explain consumers’ responses to CSR. Study 2 suggests that the source of the CSR message moderates the effect of CSR on consumer attributions. The mediating influence of the attributions as well as the importance of information source suggests that proper communication of CSR can be a viable way to inculcate positive corporate associations and purchase intentions.     

When do B2B brands influence the decision making of organizational buyers? An examination of the relationship between purchase risk and brand sensitivity

The dominant perspective on organizational buying behavior suggests that buyers tend to rely on objective criteria when making product choice decisions and that the potential influence of subjective cues, such as brands, on buyer decision making decreases with increasing risk. An alternative perspective, confirmed in this study by in-depth interviews with various managers, suggests that brands serve as a risk-reduction heuristic, whereby the influence of brands on decision making increases as a function of risk. Building on risk and information processing theories, this research builds on these complementary perspectives to propose that risk and brand sensitivity relate in a U-shaped manner, where brand sensitivity is highest in relatively low- or high-risk situations. The results of scenario- and survey-based field studies—involving 206 and 180 members of buying centers, respectively—suggest that both perspectives have merit and support the proposed nonlinear relationship. Moreover, the findings reveal that the risk-brand sensitivity relationship is moderated by competitive intensity, such that the linear (negative) and quadratic (positive) effects are stronger when competitive intensity is low.     

A review of the effect of cigarette advertising

Because of the inconsistency in the findings from past decades of research and the lack of consensus regarding the relationship between advertising exposure and cigarette consumption, the large body of extant research on the effectiveness of cigarette advertising has generated equivocal conclusions on this subject. Therefore, we conducted a comprehensive meta-analysis of cigarette advertising research to determine what impact, if any, cigarette advertising has on cigarette consumption. Unlike previous attempts to synthesize the cigarette advertising literature, this study examined three specific levels of the criterion (i.e., initiation, continuation, and brand behavior) rather than examining only aggregate consumption.     

Interaction between feasibility and desirability in the formation of entrepreneurial intentions

The literature argues that entrepreneurial intentions depend on perceptions of desirability and perceptions of feasibility. Research in other fields suggests that there will be an interaction effect between these two main antecedents of intentions, but such interaction has not been investigated in the context of entrepreneurial intentions. In this paper we explore this interaction effect in an expectancy framework, hypothesizing a negative interaction effect between perceived desirability and perceived feasibility based on regulatory focus theory. A large multi-country sample confirms this negative interaction, and suggests a novel typology of nascent entrepreneurs as natural entrepreneurs, accidental entrepreneurs, and inevitable entrepreneurs.     

Deriving joint space positioning maps from consumer preference ratings

Joint space multidimensional scaling maps are often utilized for positioning analyses and are estimated on survey samples of consumer preferences, choices, considerations, or intentions so as to provide a concise spatial depiction of the competitive landscape including relevant dimensions or attributes, competing brands, and consumers in the same joint space representation. Care has to be given concerning the underlying scale properties of such survey data so as not to distort the resulting joint space positioning map. We present a new joint space multidimensional scaling procedure for positioning analyses for displaying the structure in such survey data when such common ordered successive category measurement scales such as Likert, Edwards, semantic differential, etc., are employed. We present the technical details of this stochastic ordered preference multidimensional scaling vector model as well as the maximum likelihood estimation-based algorithm devised for parameter estimation. Favorable comparisons are made with several existent multidimensional scaling methods in representing the internal structure for such data in marketing positioning studies. An actual commercial positioning application concerning large sports utility vehicles consideration to buy judgments is presented with predictive validation comparisons with other multidimensional scaling joint space procedures.     

Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior

This paper presents a modeling methodology capable of accounting for spatial correlation across choice alternatives in discrete choice modeling applications. Many location choice (e.g., residential location, workplace location, destination location) modeling contexts involve choice sets where alternatives are spatially correlated with one another due to unobserved factors. In the presence of such spatial correlation, traditional discrete choice modeling methods that are often based on the assumption of independence among choice alternatives are not appropriate. In this paper, a Generalized Spatially Correlated Logit (GSCL) model that allows one to represent the degree of spatial correlation as a function of a multi-dimensional vector of attributes characterizing each pair of location choice alternatives is formulated and presented. The formulation of the GSCL model allows one to accommodate alternative correlation mechanisms rather than pre-imposing restrictive correlation assumptions on the location choice alternatives. The model is applied to the analysis of residential location choice behavior using a sample of households drawn from the 2000 San Francisco Bay Area Travel Survey (BATS) data set. Model estimation results obtained from the GSCL are compared against those obtained using the standard multinomial logit (MNL) model and the spatially correlated logit (SCL) model where only correlations across neighboring (or adjacent) alternatives are accommodated. Model findings suggest that there is significant spatial correlation across alternatives that do not share a common boundary, and that the GSCL offers the ability to more accurately capture spatial location choice behavior.