Conceptualization, Measurement, and Nomological Validity of Visual Organization Grammar for Design: An Analysis of Website Design

The aim of this paper was to provide an operational definition, to develop and to validate a measurement tool for assessing visual aesthetics—specifically contrast, rhythm, balance, and proportion (CRBP)—proposed by Stebbing (2004). A 12-item scale was developed to measure CRBP. In a pilot study with over 300 responses, exploratory and confirmatory factor analyses were performed on the items. This research-in-progress paper showed that the final 12 items had adequate convergent and discriminant validity. Implications for practice and research derived from the paper are also discussed. Future study is proposed to look at the relationship between the CRBP and other related constructs

What Drive Innovative Work Behavior among Engineers? The Role of Transformational Leadership

This paper intends to examine the relationships between Transformational Leadership, and Innovative Work Behavior among telecommunication engineers in Jordan telecommunication Industry. Its purpose is to study the effect of Transformational Leadership on engineers Innovative Work Behavior. A total of 218 questionnaires were collected from telecommunication engineers working in telecommunications organizations in Jordan. The data were analyzed using Partial Least Squares (PLS). Findings of this study found that Transformational Leadership has a positive and significant relationship with Innovative Work Behavior. These findings provide a better understanding of the Transformational Leadership style in the attainment of telecommunication engineers’ Innovative Work Behavior. Keywords: Innovative Work Behavior, Transformational Leadership, Engineers, Jordan

Effects of Personality on Social Performance in Social Trading

On social trading platforms, the income of leader traders is largely dictated by the number of copy trades conducted by their followers. Consequently, it is imperative for leader traders to exhibit appealing personalities to entice their followers to conduct copy trades. Drawing on social capital theory, we endeavor to scrutinize the effects of traders’ personalities on the accumulation of social capital, which in turn bolsters social performance as measured by the number of copy trades. Data was extracted from a leading social trading platform. The Myers–Briggs Type Indicator personality classification system was then employed to depict leader traders’ personalities based on a novel text-based, machine learning approach. Preliminary analytical results reveal significant relationships among personality traits, social capital dimensions, and social performance. Findings from this study generate insights for social trading platforms and leader traders on exhibiting desirable personalities conducive for accumulating social capital that entice followers to conduct copy trades

Unfolding Dyadic Dependencies in IS Outsourcing Relationships – Development of Two Multidimensional Constructs

While dependence is seen as a major risk in IS outsourcing relationships, to date little attention has been paid to fully and unambiguously capturing the complex nature of this phenomenon and specifying how to measure it. Research in reference disciplines has shown that dependence is a dyadic concept, i.e., studies should assess both the client’s and the supplier’s dependence in order to draw adequate conclusions. Hence, to provide a thorough basis for future IS outsourcing studies, this research-in-progress paper follows a multi-method approach (extensive literature review, case study interviews, Q-sorting, questionnaire pretests, two-sided pre-study with 44 responses from 367 companies) to develop two multidimensional “dependence” constructs, reflecting both sides of an IS outsourcing dyad, i.e., client and supplier dependence. Our research efforts aim to contribute to and extend inter-organizational IS studies and to support client and supplier firms in monitoring and influencing dyadic dependence structures

Engineers Innovative Work Behavior: The Role of Emotional Intelligence

This paper intends to examine the relationship between Emotional Intelligence, and Innovative Work Behavior among telecommunication engineers in Jordan telecommunication Industry. Its purpose is to study the effect of Emotional Intelligence of the engineers on their Innovative Work Behavior. A total of 218 questionnaires were collected from telecommunication engineers working in telecommunication organizations in Jordan. The data were analyzed using Partial Least Squares (PLS). Findings of this study found that Emotional Intelligence has a positive and significant relationship with Innovative Work Behavior. These findings provide an understanding about the Emotional Intelligence of the engineers and its effect on Innovative Work Behavior. To improve the Innovative Work Behavior among engineers, telecommunication organizations should focus on the Emotional Intelligence of the engineers to promote their Innovative Work Behavior. Keywords: Innovative Work Behavior, Emotional Intelligence, Engineers, Telecommunications, Jordan.

The Critical Importance of Construct Measurement Specification: A Response to Aguirre-Urreta and Marakas

Aguirre-Urreta and Marakas (A&M) suggest in their simulation “Revisiting Bias Due to Construct Misspecification: Different Results from Considering Coefficients in Standardized Form,” that, like Jarvis et al. (2003), MacKenzie et al. (2005), and Petter et al. (2007) before them, bias does occur when formative constructs are misspecified as reflective. But A&M argue that the level of bias in prior simulation studies has been exaggerated. They parameterize their simulation models using standardized coefficients in contrast to Jarvis et al., MacKenzie et al., and Petter et al., who parameterize their simulation models using unstandardized coefficients. Thus, across these four simulation studies, biases in parameter estimates are likely to result in misspecified measurement models (i.e., using either unstandardized or standardized coefficients); yet, the biases are greater in magnitude when unstandardized coefficients are used to parameterize the misspecified model. We believe that regardless of the extent of the bias, it is critically important for researchers to achieve correspondence between the measurement specification and the conceptual meaning of the construct so as to not alter the theoretical meaning of the construct at the operational layer of the model. Such alignment between theory and measurement will safeguard against threats to construct and statistical conclusion validity. This article is a response to the article by Miguel Aguirre-Urreta and George Marakas, Revisiting Bias Due to Construct Misspecification: Different Results from Considering Coefficients in Standardized Form, and is included in the purchase of that article

Convergent and discriminant validity with formative measurement: A mediator perspective

The ability to validate formative measurement has increased in importance as it is used to develop and test theoretical models. A method is proposed to gather convergent and discriminant validity evidence of formative measurement. Survey data is used to test the proposed method

Comparing reflective and formative measures : new insights from relevant simulations

Previous simulations comparing formative and reflective models specify formative population models as the only correct model for a given construct, and compare them with various mis-specified reflective models. However, this approach does not generalize to situations where both reflective and formative specifications can work well to assess constructs. To address this limitation, this study presents simulations in which both formative and reflective specifications fit the underlying population data equally well. The results show that reflective specifications generate less biased and more powerful results than formative specifications, and make a strong case for considering standardized rather than unstandardized coefficients for both specifications. Therefore, conceptual and empirical consequences of using reflective models for constructs that could also be modeled as formative are less dire than past research has suggested

Material and efficient cause interpretations of the formative model: resolving misunderstandings and clarifying conceptual language

This paper presents a causal explanation of formative variables that unpacks and clarifies the generally accepted idea that formative indicators are ‘causes’ of the focal formative variable. In doing this, we explore the recent paper by Diamantopoulos and Temme (AMS Review, 3(3), 160-171, 2013) and show that the latter misunderstand the stance of Lee, Cadogan, and Chamberlain (AMS Review, 3(1), 3-17, 2013; see also Cadogan, Lee, and Chamberlain, AMS Review, 3(1), 38-49, 2013). By drawing on the multiple ways that one can interpret the idea of causality within the MIMIC model, we then demonstrate how the continued defense of the MIMIC model as a tool to validate formative indicators and to identify formative variables in structural models is misguided. We also present unambiguous recommendations on how formative variables can be modelled in lieu of the formative MIMIC model