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Jehn (1992, 1994) developed the Intragroup Conflict Scale (ICS) to measure two theoretically distinct dimensions of conflict: relationship and task conflict. In the years since, the ICS has been widely adopted by researchers as a measurement tool for group conflict. However, limited evidence of the scale's psychometric properties has been published. Following guidelines provided by Schwab (1980) and Hinkin (1995), we assess the construct validity of the scale, using both individual level and group level techniques, and test proposed nomological relationships, using six diverse samples. We conclude that a 6‐item version of the original 9‐item scale best captures relationship and task conflict.

While Web‐based consumer activity is poised on the brink of dramatic growth, concerns about security have the potential to limit this growth by arousing shopper’s concerns about the Web‐based channel. One key aspect to consumer participation in Web commerce may be the extent to which they perceive risk to their sensitive information. This study describes the creation of a scale to measure perceived Web security. We apply the scale in a causal model to investigate the relative impact of beliefs about Web shopping on intent to purchase products using the World Wide Web. Data from two samples is used to develop the scale and to perform the causal analysis. Our findings indicate the favorable psychometric properties of the scale, and the causal analysis from our sample indicates that security is a greater influence on intent to purchase using the Web than is the ease and utility of purchasing products.

The purpose of the current paper is to continue assessment of the construct and predictive validity of the Netemeyer et al. Work Family Conflict (WFC) and Family Work Conflict (FWC) scales while reassessing the scales for possible improvements.

Data were collected from workers in a poultry processing plant to reassess Netemeyer et al.'s WFC and FWC scales. Carlson et al. were unable to include Netemeyer et al.'s items in constructing and validating their new measures of WFC and FWC. This paper assesses and extends the validation of the Netemeyer et al. scales.

This study supports the notion that a reduced model of both scales (four items for WFC and three items for FWC) fit the data in the sample better than the original five‐item measures presented by Netemeyer et al. By deleting items from each scale more variation in the constructs was accounted for and reduced unexplained error. By clarifying the measurement of WFC and FWC, the substantive predictive model in the paper was supported. In addition, both WFC and FWC predicted individuals' intention to quit, indicating potential predictive validity for these modified scales.

While this is a reassessment of a previously used scale, the improvements in functionality (decreased items needed for assessment) and potential for predictive validity of the modified scales result in an exciting new avenue for WFC and FWC research.

It is widely accepted that coauthorship and collaboration promotes intellectual partnerships and improves the quality of publications. This paper examines the relationship between collaboration, productivity and publications in the field of family business.

The authors identify the most prolific authors, affiliations and countries and focus on the evolution of research in the field of family business. In doing so, the authors employ social network analysis to discover the structure of the networks and the ways in which authors, institutions and countries interact.

The empirical results show that collaboration is positively related to productivity, and there is significant evidence that the shaped networks exhibit small-world characteristics, a condition in which collaboration within authors becomes integrated in conjunction with time.

The findings highlight the mechanics of collaborative research production and can be useful to understand the importance of collaboration patterns to be followed in the field of family business.

The contributions are as follows: (a) application of social network analysis to model the coauthorship patterns among individuals, institutions and countries in family business; (b) distinguishing the most degree-central authors in the social network of collaborating academics; (c) investigation of the academic collaborations in family business that have the characteristics of a small-world social network and (d) suggesting a unique connection, through published keywords, between the research priorities of the most central or prolific authors with the research trends in the family business literature. The authors demonstrate that authors' collaboration becomes integrated in conjunction with time.

This study aims to apply a systematic statistical approach, including several plot indexes, to diagnose the goodness of fit of a logistic regression model, and then to detect the outliers and influential observations of the data from experimental data.

The proposed statistical approach is applied to analyze some experimental data on internal solitary wave propagation.

A suitable logistic regression model in which the relationship between the response variable and the explanatory variables is found. The problem of multicollinearity is tested. It was found that certain observations would not have the problem of multicollinearity. The P‐values for both the Pearson and deviance χ² tests are greater than 0.05. However, the Pearson χ² value is larger than the degrees of freedom. This finding indicates that although this model fits the data, it has a slight overdispersion. After three outliers and influential observations (cases 11, 27, and 49) are removed from the data, and the remaining observations are refitted the goodness‐of‐fit of the revised model to the data is improved.

A comparison of the four predictive powers: R², max‐rescaled R², the Somers' D, and the concordance index c, shows that the revised model has better predictive abilities than the original model.

The goodness‐of‐fit and prediction ability of the revised logistic regression model are more appropriate than those of the original model.

A growing body of research outlines how to best facilitate and ensure methodological rigor when using dictionary-based computerized text analyses (DBCTA) in organizational research. However, these best practices are currently scattered across several methodological and empirical manuscripts, making it difficult for scholars new to the technique to implement DBCTA in their own research. To better equip researchers looking to leverage this technique, this methodological report consolidates current best practices for applying DBCTA into a single, practical guide. In doing so, we provide direction regarding how to make key design decisions and identify valuable resources to help researchers from the beginning of the research process through final publication. Consequently, we advance DBCTA methods research by providing a one-stop reference for novices and experts alike concerning current best practices and available resources.

When a natural disaster occurs, the media directs the public’s attention to the key elements of disaster management and provides accounts of how effective the government is in responding to it. This study analyzed 80 reports contained in 21 stories published in three international newspapers and 35 editorial statements from 21 editorials obtained from two national papers regarding the Japanese government’s responses to the great Hanshin-Awaji earthquake. Issue clusters for different levels of government responding to the crisis were identified. The lack of systematic reactions to the crisis provoked the most media scrutiny. The legitimacy of the government’s behaviors in this area were perceived more negatively by the media than were the inappropriate behavior of elected officials or the lack of care expressed towards the victims by local officials.