Expectation confirmation: An examination of three competing models

We discuss three theoretical models from met expectations research in the fields of organizational behavior and consumer psychology. Based on the fundamental arguments in the models, we term these models: disconfirmation, ideal point, and experiences only. We present three-dimensional graphical and analytical representations of the models, with satisfaction being a function of expectations and experiences. We tested the models in the context of a new information system implementation in an organization, with expectations, experiences, and system satisfaction measured for both ease of use and usefulness, the focal constructs of the Technology Acceptance Model (TAM). We found that an experiences only model in which expectations had no measurable effect best explained the data for ease of use. The results for usefulness indicated a modified version of the experiences only model in which the positive effect of experiences becomes slightly stronger—i.e., more positive—as expectations increase.     

Role of time in self-prediction of behavior

This paper examines three specific manifestations of time—anticipation (proximal vs. distal), prior experience with the behavior, and frequency (episodic vs. repeat)—as key contingencies affecting the predictive validity of behavioral intention, perceived behavioral control, and behavioral expectation in predicting behavior. These three temporal contingencies are examined in two longitudinal field studies: (1) study 1—a 6-month study of personal computer (PC) purchase behavior among 861 households and (2) study 2—a 12-month study among 321 employees in the context of a new technology implementation in an organization. In study 1, where the episodic behavior of PC purchase was examined, we found that increasing anticipation (i.e., more distal) weakened the relationship between behavioral intention and behavior and strengthened the relationship between behavioral expectation and behavior. In contrast, increasing experience strengthened the relationship between behavioral intention and behavior and weakened the relationship between behavioral expectation and behavior. In study 2, where the repeat behavior of technology use was examined, we found two significant 3-way interactions: (1) the relationship between behavioral intention and behavior was strongest when anticipation was low (i.e., proximal) and experience was high and (2) the relationship between behavioral expectation and behavior was strongest when anticipation was high (i.e., distal) and experience was low.     

Ethical Value Positioning of Management Students of India and Germany

This study attempts to compare ‘the ethical value positioning’ of students of Business and Management studies from India and Germany. A complete enumerative survey was conducted for management students using the Ethical Positioning Questionnaire (EPQ) of Forsyth (1980). There were 134 respondents from India and 57 from Germany. The objective was to confer the differences in ethical positioning of students of two economically and culturally diverse nations. By the end of the research, it was constituted that both German and Indian students demonstrate a high degree of Idealism and Relativism and can be qualified as situationists. Exploratory analysis of the responses resulted in extraction of four factors (values): Non-Violence, Individualism, Non-Consequential, and Situational value. Within the analysis, Indian students displayed a higher preference for Individualism compared to their German counterparts. This study contributes to the literature in cross-cultural ethical value positioning of young managers. This study also opens a window for future research in the factors such as educational qualification, closed social groupings, and background of the students.     

Integration of Analytic Hierarchy Process with Regression Analysis to Identify Attractive Locations for Market Expansion

Selection of new geographies in which to expand is a key decision for businesses aspiring to go beyond the opportunities in the existing markets. The conventional approaches of market selection can only provide a set of systematic steps for problem solving without considering the relationships between the decision factors. Decision models based on statistical techniques are able to examine the relationship between decision factors but are unable to effectively assist decision makers in identifying the most promising market, particularly in terms of prioritizing across decision factors. Analytic Hierarchy Process (AHP) is a commonly used approach for choosing alternatives by prioritizing across multiple decision factors. The typical AHP modelling requires knowledge of criteria and/or alternatives along with their relative weights, generally elicited from field experts. Quite often, firms encounter situations where decision makers are aware of only the overall objective and a set of earmarked geographies for setting up market locations while being relatively unaware of decision criteria and relative weights. This precludes using AHP to identify promising market locations. This paper conceptualizes a market selection decision model that integrates AHP with statistical modelling techniques to identify the attractive market locations for the purpose of expansion. The model first uses principal component analysis and multiple regression to determine significant decision criteria and their weights. Thereafter, it applies AHP to prioritize the market locations across the decision criteria. This integrative approach is illustrated for identifying the attractive locations in rural markets for a steel firm in India. The major advantage of this approach is that unlike the existing models, it works in situations when firms have not enough knowledge about factors for evaluating alternative market locations. Another key advantage of the proposed model is that of economizing resources for data collection on variables representing decision factors. Copyright © 2012 John Wiley & Sons, Ltd.     

Evaluation of some tasks used for specifying handedness and footedness

Healthy men (n = 42) and women (n = 45) who were right-handed and men (n = 21) and women (n = 20) who were left-handed were studied. Men's mean age was 21.1 +/- 3.5 yr. and women's 20.7 +/- 3.1 yr. These students in various faculties reported they were right- or left-handed. Then their hand and foot preferences (handedness and footedness) were ascertained by asking each of the subjects to perform 11 tasks for handedness and 9 tasks for footedness. A discriminate function analysis test showed that each of the 11 tasks used for assessing their self-reported handedness was significant, but, of the 9 tasks used for assessing self-reported footedness, only 7 were significant. Strength of the hand or foot played no role in reports of handedness or footedness. A combination of four tasks, such as pulling a door, pushing a door, holding an object, and hammering a nail, on which the maximum number of subjects performed with the right or left hand, depending upon their self-reported handedness, would be ideal for ascertaining handedness. A combination of three tasks, namely, kicking a football, pushing an object with the foot, and stamping on the ground, would be ideal for ascertaining footedness.     

A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes

This research investigated gender differences in the overlooked context of individual adoption and sustained usage of technology in the workplace using the theory of planned behavior (TPB). User reactions and technology usage behavior were studied over a 5-month period among 355 workers being introduced to a new software technology application. When compared to women's decisions, the decisions of men were more strongly influenced by their attitude toward using the new technology. In contrast, women were more strongly influenced by subjective norm and perceived behavioral control. Sustained technology usage behavior was driven by early usage behavior, thus fortifying the lasting influence of gender-based early evaluations of the new technology. These findings were robust across income, organization position, education, and computer self-efficacy levels. Copyright 2000 Academic Press.     

Eschewing Community: Black Metal

There is a great deal of literature that examines community orientations, in particular consumption‐based subcultures rooted in the appreciation of music scenes such as heavy metal and its subgenres. Much of this literature focuses on aspects of community maintenance, reaffirmation of shared identities and building of social bonds. In the present article, we report a study in which consumption of, and fandom in a specific scene in extreme metal, namely black metal, may lead to very unique consumer cultural orientations. Our analyses reveal that black metal fans' identities reside in a realm outside of a desired collective identification and tightly knit community, but rather one that uses signification, or representational means to convey meaning and belonging, as a way to signal repugnance with society and a reverence of individuality. The study engages a mixed qualitative approach utilizing interviews, observational research and content analysis to demonstrate how self‐identity related to the black metal music scene can thrive through an ideological and semiotic rejection of traditional community orientations seen in the majority of other extreme metal music scenes. This paper challenges traditional conceptualizations of group identity in music scenes by closely examining aspects of signification and fandom in black metal that represent a unique system of shared identities devoid of community building. Copyright © 2014 John Wiley & Sons, Ltd.     

Perceiving images and telling tales: A visual and verbal analysis of the meaning of the internet

This paper uses visual and verbal analysis to delve into the multi-faceted ways in which individuals construct their own meanings and shape their own experiences with the Internet. We build on the Zaltman Metaphor Elicitation Technique, and the principles of visual rhetoric to show how perceptual processes affect picture choices, and how these choices contribute to the narrative imagination. Numerous perceptual principles [abstraction, concept formation, perceptual problem solving, constancy, closure, symmetry and balance]are identified in the choice and organization of visual images. The argument we make is that images and words (visual and textual processes) provide deeper insights into our understanding of consumer online experiences.